Showing posts with label Big Data Market. Show all posts
Showing posts with label Big Data Market. Show all posts

Wednesday, 9 January 2019

The Big Data Market: 2018 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals & Forecasts

Researchmoz added latest report "The Big Data Market: 2018 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals & Forecasts". The industry report lists the leading competitors and provides the insights strategic industry Analysis of the key factors influencing the market.
“Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data, to solve complex problems.

Amid the proliferation of real-time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to scientific R&D.

Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. Big Data investments will account for over $65 Billion in 2018 alone. These investments are further expected to grow at a CAGR of approximately 14% over the next three years.

Get a Sample PDF at: https://www.researchmoz.us/enquiry.php?type=S&repid=1833121

The “Big Data Market: 2018 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” report presents an in-depth assessment of the Big Data ecosystem including key market drivers, challenges, investment potential, vertical market opportunities and use cases, future roadmap, value chain, case studies on Big Data analytics, vendor profiles, market share and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services from 2018 till 2030. The forecasts are segmented for 8 horizontal submarkets, 14 vertical markets, 6 regions and 35 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

Key Findings:

The report has the following key findings:

- In 2018, Big Data vendors will pocket over $65 Billion from hardware, software and professional services revenues. These investments are further expected to grow at a CAGR of approximately 14% over the next three years, eventually accounting for more than $96 Billion by the end of 2021.
- With ongoing advances in AI (Artificial Intelligence) technologies, Big Data analytics initiatives are beginning to leverage sophisticated deep learning systems with an autonomous sense of judgment – to enable a range of applications from chatbots and virtual assistants to self-driving vehicles and precision medicine.
- In order to analyze data closer to where it is collected, Big Data and advanced analytics technologies are increasingly being integrated into edge environments, including network nodes, numerous industrial machines and IoT (Internet of Things) devices.
- The vendor arena is continuing to consolidate with several prominent M&A deals such as Oracle's recent acquisition of enterprise data science platform provider DataScience.com – in a bid to beef up its capabilities in machine learning and Big Data for predictive analytics, and Google's acquisition of Big Data application platform provider Cask Data.

Topics Covered:

The report covers the following topics:

- Big Data ecosystem
- Market drivers and barriers
- Enabling technologies, standardization and regulatory initiatives
- Big Data analytics and implementation models
- Key trends – including AI (Artificial Intelligence), machine learning, edge analytics, cloud-based Big Data platforms, and the impact of the IoT (Internet of Things)
- Analysis of key applications and investment potential for 14 vertical markets
- Over 60 case studies on the use of Big Data and analytics
- Big Data vendor market share
- Future roadmap and value chain
- Profiles and strategies of over 270 leading and emerging Big Data ecosystem players
- Strategic recommendations for Big Data hardware, software and professional services vendors, and enterprises
- Market analysis and forecasts from 2018 till 2030

Get Complete TOC With Tables and Figures @ https://www.researchmoz.us/the-big-data-market-2018-2030-opportunities-challenges-strategies-industry-verticals-forecasts-report.html/toc

Forecast Segmentation:

Market forecasts are provided for each of the following submarkets and their categories:

- Hardware, Software & Professional Services
- Hardware
- Software
- Professional Services
- Horizontal Submarkets
- Storage & Compute Infrastructure
- Networking Infrastructure
- Hadoop & Infrastructure Software
- SQL
- NoSQL
- Analytic Platforms & Applications
- Cloud Platforms
- Professional Services
- Vertical Submarkets
- Automotive, Aerospace & Transportation
- Banking & Securities
- Defense & Intelligence
- Education
- Healthcare & Pharmaceutical
- Smart Cities & Intelligent Buildings
- Insurance
- Manufacturing & Natural Resources
- Web, Media & Entertainment
- Public Safety & Homeland Security
- Public Services
- Retail, Wholesale & Hospitality
- Telecommunications
- Utilities & Energy
- Others
- Regional Markets
- Asia Pacific
- Eastern Europe
- Latin & Central America
- Middle East & Africa
- North America
- Western Europe
- Country Markets
- Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany, India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK, USA

Key Questions Answered:

The report provides answers to the following key questions:


- How big is the Big Data ecosystem?
- How is the ecosystem evolving by segment and region?
- What will the market size be in 2021, and at what rate will it grow?
- What trends, challenges and barriers are influencing its growth?
- Who are the key Big Data software, hardware and services vendors, and what are their strategies?
- How much are vertical enterprises investing in Big Data?
- What opportunities exist for Big Data analytics?
- Which countries and verticals will see the highest percentage of Big Data investments?

Make an Enquiry of this report @ https://www.researchmoz.us/enquiry.php?type=E&repid=1833121

List of Companies Mentioned:

The following companies and organizations have been reviewed, discussed or mentioned in the report:

- 1010data
- Absolutdata
- Accenture
- Actian Corporation
- Actuate Corporation
- Adaptive Insights
- Adobe Systems
- Advizor Solutions
- AeroSpike
- AFS Technologies
- Airbus Group
- Alameda County Social Services Agency
- Alation
- Algorithmia
- Alluxio
- Alphabet
- Alpine Data
- ALTEN
- Alteryx
- Altiscale
- Amazon.com
- Ambulance Victoria
- AMD (Advanced Micro Devices)
- Amgen
- Anaconda
- ANSI (American National Standards Institute)
- Antivia
- Apixio
- Arcadia Data
- Arimo
- ARM
- ASF (Apache Software Foundation)
- AstraZeneca
- AT&T
- AtScale
- Attivio
- Attunity
- Automated Insights
- AVORA
- AWS (Amazon Web Services)
- Axiomatics
- Ayasdi
- BackOffice Associates
- BAE Systems
- Baidu
- Bangkok Hospital Group
- Basho Technologies
- BCG (Boston Consulting Group)
- Bedrock Data
- Bet365 Group
- BetterWorks
- Big Panda
- BigML
- Bina Technologies
- Biogen
- Birst
- Bitam
- Blue Medora
- BlueData Software
- BlueTalon
- BMC Software
- BMW
- BOARD International
- Boeing
- Booz Allen Hamilton
- Boxever
- British Gas
- Broadcom
- BT Group
- CACI International
- Cambridge Semantics
- Capgemini
- Capital One Financial Corporation
- Cask Data
- Cazena
- CBA (Commonwealth Bank of Australia)
- Centrifuge Systems
- CenturyLink
- Chartio
- Cisco Systems
- Civis Analytics
- ClearStory Data
- Cloudability
- Cloudera
- Cloudian
- Clustrix
- CognitiveScale
- Collibra
- Concurrent Technology
- Confluent
- Constant Contact
- Contexti
- Coriant
- Couchbase
- Crate.io
- Cray
- Credit Agricole Group
- CSA (Cloud Security Alliance)
- CSCC (Cloud Standards Customer Council)
- Dash Labs
- Data Clairvoyance Group
- Databricks
- DataGravity
- Dataiku
- Datalytyx
- Datameer
- DataRobot
- DataScience.com
- DataStax
- Datawatch Corporation
- Datos IO
- DDN (DataDirect Networks)
- Decisyon
- Dell EMC
- Dell Technologies
- Deloitte
- Demandbase
- Denodo Technologies
- Denso Corporation
- DGSE (General Directorate for External Security, France)
- Dianomic Systems
- Digital Reasoning Systems
- Dimensional Insight
- DMG (Data Mining Group)
- Dolphin Enterprise Solutions Corporation
- Domino Data Lab
- Domo
- Dow Chemical Company
- Dremio
- DriveScale
- Druva
- DT (Deutsche Telekom)
- Dubai Police
- Dundas Data Visualization
- DXC Technology
- eBay
- Edith Cowen University
- Elastic
- Engineering Group (Engineering Ingegneria Informatica)
- EnterpriseDB Corporation
- eQ Technologic
- Ericsson
- Erwin
- EV? (Big Cloud Analytics)
- EXASOL
- EXL (ExlService Holdings)
- Facebook
- FDNY (Fire Department of the City of New York)
- FICO (Fair Isaac Corporation)
- Figure Eight
- FogHorn Systems
- Ford Motor Company
- Fractal Analytics
- Franz
- Fujitsu
- Fuzzy Logix
- Gainsight
- GE (General Electric)
- Glasgow City Council
- Glassbeam
- GoodData Corporation
- Google
- Grakn Labs
- Greenwave Systems
- GridGain Systems
- Groupe Renault
- Guavus
- H2O.ai
- Hanse Orga Group
- HarperDB
- HCL Technologies
- Hedvig
- Hitachi
- Hitachi Vantara
- Honda Motor Company
- Hortonworks
- HPE (Hewlett Packard Enterprise)
- HSBC Group
- Huawei
- HVR
- HyperScience
- HyTrust
- IBM Corporation
- iDashboards
- IDERA
- IEC (International Electrotechnical Commission)
- IEEE (Institute of Electrical and Electronics Engineers)
- Ignite Technologies
- Imanis Data
- Impetus Technologies
- INCITS (InterNational Committee for Information Technology Standards)
- Incorta
- InetSoft Technology Corporation
- Infer
- InfluxData
- Infogix
- Infor
- Informatica
- Information Builders
- Infosys
- Infoworks
- Insightsoftware.com
- InsightSquared
- Intel Corporation
- Interana
- InterSystems Corporation
- ISO (International Organization for Standardization)
- ITU (International Telecommunication Union)
- Jedox
- Jethro
- Jinfonet Software
- JJ Food Service
- JPMorgan Chase & Co.
- Juniper Networks
- Kaiser Permanente
- KALEAO
- Keen IO
- Keyrus
- Kinetica
- KNIME
- Kofax
- Kognitio
- Kyvos Insights
- Lavastorm
- Leadspace
- LeanXcale
- Lexalytics
- Lexmark International
- Lightbend
- Linux Foundation
- Logi Analytics
- Logical Clocks
- Longview Solutions
- Looker Data Sciences
- LucidWorks
- Luminoso Technologies
- Maana
- Magento Commerce
- Manthan Software Services
- MapD Technologies
- MapR Technologies
- MariaDB Corporation
- MarkLogic Corporation
- Marriott International
- Mathworks
- Melissa
- Memphis Police Department
- MemSQL
- Mercer
- METI (Ministry of Economy, Trade and Industry, Japan)
- Metric Insights
- Michelin
- Microsoft Corporation
- MicroStrategy
- Ministry of State Security, China
- Minitab
- MongoDB
- Mu Sigma
- NEC Corporation
- Neo4j
- NetApp
- Netflix
- Neustar
- New York State Department of Taxation and Finance
- NextBio
- NFL (National Football League)
- Nimbix
- Nokia
- Northwest Analytics
- Nottingham Trent University
- Novartis
- NTT Data Corporation
- NTT Group
- Numerify
- NuoDB
- Nutonian
- NVIDIA Corporation
- OASIS (Organization for the Advancement of Structured Information Standards)
- Objectivity
- Oblong Industries
- ODaF (Open Data Foundation)
- ODCA (Open Data Center Alliance)
- ODPi (Open Ecosystem of Big Data)
- Ofcom
- OGC (Open Geospatial Consortium)
- Oncor Electric Delivery Company
- ONS (Office for National Statistics, United Kingdom)
- OpenText Corporation
- Opera Solutions
- Optimal Plus
- Optum
- OptumLabs
- Oracle Corporation
- OTP Bank
- OVG Real Estate
- Palantir Technologies
- Panasonic Corporation
- Panorama Software
- Paxata
- Pentaho
- Pepperdata
- Pfizer
- Philips
- Phocas Software
- Pivotal Software
- Predixion Software
- Primerica
- Procter & Gamble
- Prognoz
- Progress Software Corporation
- Provalis Research
- Purdue University
- Pure Storage
- PwC (PricewaterhouseCoopers International)
- Pyramid Analytics
- Qlik
- Qrama/Tengu
- Qualcomm
- Quantum Corporation
- Qubole
- Rackspace
- Radius Intelligence
- RapidMiner
- Recorded Future
- Red Hat
- Redis Labs
- RedPoint Global
- Reltio
- Rocket Fuel
- Rosenberger
- Royal Bank of Canada
- Royal Dutch Shell
- Royal Navy
- RSA Group
- RStudio
- Rubrik
- Ryft
- Sailthru
- Salesforce.com
- Salient Management Company
- Samsung Electronics
- Samsung Group
- Samsung SDS
- Sanofi
- SAP
- SAS Institute
- ScaleArc
- ScaleOut Software
- Scaleworks
- Schneider Electric
- SCIO Health Analytics
- Seagate Technology
- Search Technologies
- Siemens
- Sinequa
- SiSense
- Sizmek
- SnapLogic
- Snowflake Computing
- SoftBank Group
- Software AG
- SpagoBI Labs
- Sparkline Data
- Splice Machine
- Splunk
- Sqrrl
- Strategy Companion Corporation
- Stratio
- Streamlio
- StreamSets
- Striim
- Sumo Logic
- Supermicro (Super Micro Computer)
- Syncsort
- SynerScope
- SYNTASA
- Tableau Software
- Talend
- Tamr
- TARGIT
- TCS (Tata Consultancy Services)
- TEOCO
- Teradata Corporation
- Tesco
- Thales
- The Walt Disney Company
- The Weather Company
- Thomson Reuters
- ThoughtSpot
- TIBCO Software
- Tidemark
- TM Forum
- T-Mobile USA
- Toshiba Corporation
- TPC (Transaction Processing Performance Council)
- Transwarp
- Trifacta
- Twitter
- U.S. Air Force
- U.S. Army
- U.S. CBP (Customs and Border Protection)
- U.S. Coast Guard
- U.S. Department of Commerce
- U.S. Department of Defense
- U.S. DHS (Department of Homeland Security)
- U.S. ICE (Immigration and Customs Enforcement)
- U.S. NASA (National Aeronautics and Space Administration)
- U.S. NIST (National Institute of Standards and Technology)
- U.S. NSA (National Security Agency)
- Unifi Software
- UnitedHealth Group
- Unravel Data
- USCIS (U.S. Citizenship and Immigration Services)
- VANTIQ
- Vecima Networks
- Verizon Communications
- Vmware
- Vodafone Group
- VoltDB
- W3C (World Wide Web Consortium)
- WANdisco
- Waterline Data
- Wavefront
- Western Digital Corporation
- WhereScape
- WiPro
- Wolfram Research
- Workday
- Xplenty
- Yellowfin BI
- Yseop
- Zendesk
- Zoomdata
- Zucchetti
- Zurich Insurance Group

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Thursday, 1 March 2018

Big Data Investments Are Expected To Grow At A CAGR Of 12% Over The Next Four Years, Eventually Accounting For Over $72 Billion By The End Of 2020

Researchmoz added Most up-to-date research on "The Big Data Market: 2016 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals and Forecasts" to its huge collection of research reports.

“Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data to solve complex problems.

Amid the proliferation of real time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to scientific R&D.

To Get Sample Copy of Report visit @ https://www.researchmoz.us/enquiry.php?type=S&repid=804863

Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Research estimates that Big Data investments will account for over $46 Billion in 2016 alone. These investments are further expected to grow at a CAGR of 12% over the next four years.

The “Big Data Market: 2016 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” report presents an in-depth assessment of the Big Data ecosystem including key market drivers, challenges, investment potential, vertical market opportunities and use cases, future roadmap, value chain, case studies on Big Data analytics, vendor market share and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services from 2016 through to 2030. The forecasts are further segmented for 8 horizontal submarkets, 14 vertical markets, 6 regions and 35 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

Topics Covered

The report covers the following topics:

- Big Data ecosystem
- Market drivers and barriers
- Big Data technology, standardization and regulatory initiatives
- Big Data industry roadmap and value chain
- Analysis and use cases for 14 vertical markets
- Big Data analytics technology and case studies
- Big Data vendor market share
- Company profiles and strategies of 150 Big Data ecosystem players
- Strategic recommendations for Big Data hardware, software and professional services vendors and enterprises
- Market analysis and forecasts from 2016 till 2030

Historical Revenue & Forecast Segmentation

Market forecasts and historical revenue figures are provided for each of the following submarkets and their subcategories:

- Hardware, Software & Professional Services
- Hardware
- Software
- Professional Services

Get Complete TOC With Tables and Figures @ https://www.researchmoz.us/the-big-data-market-2016-2030-opportunities-challenges-strategies-industry-verticals-and-forecasts-report.html/toc

Horizontal Submarkets

- Storage & Compute Infrastructure
- Networking Infrastructure
- Hadoop & Infrastructure Software
- SQL
- NoSQL
- Analytic Platforms & Applications
- Cloud Platforms
- Professional Services

Vertical Submarkets

- Automotive, Aerospace & Transportation
- Banking & Securities
- Defense & Intelligence
- Education
- Healthcare & Pharmaceutical
- Smart Cities & Intelligent Buildings
- Insurance
- Manufacturing & Natural Resources
- Web, Media & Entertainment
- Public Safety & Homeland Security
- Public Services
- Retail, Wholesale & Hospitality
- Telecommunications
- Utilities & Energy
- Others

Regional Markets

- Asia Pacific
- Eastern Europe
- Latin & Central America
- Middle East & Africa
- North America
- Western Europe

Country Markets

Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany,  India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK,  USA

Key Questions Answered

The report provides answers to the following key questions:

- How big is the Big Data ecosystem?
- How is the ecosystem evolving by segment and region?
- What will the market size be in 2020 and at what rate will it grow?
- What trends, challenges and barriers are influencing its growth?
- Who are the key Big Data software, hardware and services vendors and what are their strategies?
- How much are vertical enterprises investing in Big Data?
- What opportunities exist for Big Data analytics?
- Which countries and verticals will see the highest percentage of Big Data investments?

Key Findings

The report has the following key findings:

- In 2016, Big Data vendors will pocket over $46 Billion from hardware, software and professional services revenues.
- Big Data investments are further expected to grow at a CAGR of 12% over the next four years, eventually accounting for over $72 Billion by the end of 2020.
- The market is ripe for acquisitions of pure-play Big Data startups, as competition heats up between IT incumbents.
- Nearly every large scale IT vendor maintains a Big Data portfolio.
- At present, the market is largely dominated by hardware sales and professional services in terms of revenue.
- Going forward, software vendors, particularly those in the Big Data analytics segment, are expected to significantly increase their stake in the Big Data market.
- By the end of 2020, SNS Research expects Big Data software revenue to exceed hardware investments by over $7 Billion.

Make an Enquiry of this report @ https://www.researchmoz.us/enquiry.php?type=E&repid=804863

List of Companies Mentioned

- 1010data
- Accel Partners
- Accenture
- Actian Corporation
- Actuate Corporation
- Adaptive Insights
- adMarketplace
- Adobe
- ADP
- Advizor Solutions
- AeroSpike

Continue...

Monday, 26 February 2018

Big Data Market Expected To Grow At A CAGR Of Approximately 10%, Accounting For Over $76 Billion By The End Of 2020

Researchmoz added Most up-to-date research on "The Big Data Market: 2017 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals and Forecasts" to its huge collection of research reports.

“Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data, to solve complex problems.

Amid the proliferation of real-time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to scientific R&D.

Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Research estimates that Big Data investments will account for over $57 Billion in 2017 alone. These investments are further expected to grow at a CAGR of approximately 10% over the next three years.

To Get Sample Copy of Report visit @ https://www.researchmoz.us/enquiry.php?type=S&repid=1170818

The “Big Data Market: 2017 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” report presents an in-depth assessment of the Big Data ecosystem including key market drivers, challenges, investment potential, vertical market opportunities and use cases, future roadmap, value chain, case studies on Big Data analytics, vendor market share and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services from 2017 through to 2030. The forecasts are further segmented for 8 horizontal submarkets, 14 vertical markets, 6 regions and 35 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

The report covers the following topics:

- Big Data ecosystem
- Market drivers and barriers
- Big Data technology, standardization and regulatory initiatives
- Big Data industry roadmap and value chain
- Analysis and use cases for 14 vertical markets
- Big Data analytics technology and case studies
- Big Data vendor market share
- Company profiles and strategies of 240 Big Data ecosystem players
- Strategic recommendations for Big Data hardware, software and professional services vendors, and enterprises
- Market analysis and forecasts from 2017 till 2030

Forecast Segmentation

Market forecasts are provided for each of the following submarkets and their subcategories:

Hardware, Software & Professional Services

- Hardware
- Software
- Professional Services

Get Complete TOC With Tables and Figures @ https://www.researchmoz.us/the-big-data-market-2017-2030-opportunities-challenges-strategies-industry-verticals-and-forecasts-report.html/toc

Horizontal Submarkets

- Storage & Compute Infrastructure
- Networking Infrastructure
- Hadoop & Infrastructure Software
- SQL
- NoSQL
- Analytic Platforms & Applications
- Cloud Platforms
- Professional Services

Vertical Submarkets

- Automotive, Aerospace & Transportation
- Banking & Securities
- Defense & Intelligence
- Education
- Healthcare & Pharmaceutical
- Smart Cities & Intelligent Buildings
- Insurance
- Manufacturing & Natural Resources
- Web, Media & Entertainment
- Public Safety & Homeland Security
- Public Services
- Retail, Wholesale & Hospitality
- Telecommunications
- Utilities & Energy
- Others

Regional Markets

- Asia Pacific
- Eastern Europe
- Latin & Central America
- Middle East & Africa
- North America
- Western Europe

Country Markets

Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany, India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK, USA

The report provides answers to the following key questions:

- How big is the Big Data ecosystem?
- How is the ecosystem evolving by segment and region?
- What will the market size be in 2020 and at what rate will it grow?
- What trends, challenges and barriers are influencing its growth?
- Who are the key Big Data software, hardware and services vendors and what are their strategies?
- How much are vertical enterprises investing in Big Data?
- What opportunities exist for Big Data analytics?
- Which countries and verticals will see the highest percentage of Big Data investments?

Make an Enquiry of this report @ https://www.researchmoz.us/enquiry.php?type=E&repid=1170818

The report has the following key findings:

- In 2017, Big Data vendors will pocket over $57 Billion from hardware, software and professional services revenues. These investments are further expected to grow at a CAGR of approximately 10% over the next four years, eventually accounting for over $76 Billion by the end of 2020.
- As part of wider plans to revitalize their economies, countries across the world are incorporating legislative initiatives to capitalize on Big Data. For example, the Japanese government is engaged in developing intellectual property protection and dispute resolution frameworks for Big Data assets, in a bid to encourage data sharing and accelerate the development of domestic industries.
- By the end of 2017, SNS Research estimates that as much as 30% of all Big Data workloads will be processed via cloud services as enterprises seek to avoid large-scale infrastructure investments and security issues associated with on-premise implementations.
- The vendor arena is continuing to consolidate with several prominent M&A deals such as computer hardware giant Dell's $60 Billion merger with data storage specialist EMC.

List of Companies Mentioned

- 1010data
- Absolutdata
- Accenture
- Actian Corporation
- Actuate Corporation
- Adaptive Insights
- Adobe Systems
- Advizor Solutions
- AeroSpike
- AFS Technologies
- Airbus Group

Continue...

Tuesday, 6 February 2018

Big Data Market: 2016 Opportunities, Challenges, Strategies, Industry Verticals and Forecasts 2030

Researchmoz added Most up-to-date research on "The Big Data Market: 2016 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals and Forecasts" to its huge collection of research reports.

Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data to solve complex problems.

Amid the proliferation of real time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to scientific R&D.

Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Research estimates that Big Data investments will account for over $46 Billion in 2016 alone. These investments are further expected to grow at a CAGR of 12% over the next four years.

To Get Sample Copy of Report visit @ https://www.researchmoz.us/enquiry.php?type=S&repid=804863

The “Big Data Market: 2016 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” report presents an in-depth assessment of the Big Data ecosystem including key market drivers, challenges, investment potential, vertical market opportunities and use cases, future roadmap, value chain, case studies on Big Data analytics, vendor market share and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services from 2016 through to 2030. The forecasts are further segmented for 8 horizontal submarkets, 14 vertical markets, 6 regions and 35 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

Topics Covered

The report covers the following topics:

- Big Data ecosystem
- Market drivers and barriers
- Big Data technology, standardization and regulatory initiatives
- Big Data industry roadmap and value chain
- Analysis and use cases for 14 vertical markets
- Big Data analytics technology and case studies
- Big Data vendor market share
- Company profiles and strategies of 150 Big Data ecosystem players
- Strategic recommendations for Big Data hardware, software and professional services vendors and enterprises
- Market analysis and forecasts from 2016 till 2030

Historical Revenue & Forecast Segmentation

Market forecasts and historical revenue figures are provided for each of the following submarkets and their subcategories:

- Hardware, Software & Professional Services
- Hardware
- Software
- Professional Services

Get Complete TOC With Tables and Figures @ https://www.researchmoz.us/the-big-data-market-2016-2030-opportunities-challenges-strategies-industry-verticals-and-forecasts-report.html/toc

Horizontal Submarkets

- Storage & Compute Infrastructure
- Networking Infrastructure
- Hadoop & Infrastructure Software
- SQL
- NoSQL
- Analytic Platforms & Applications
- Cloud Platforms
- Professional Services

Vertical Submarkets

- Automotive, Aerospace & Transportation
- Banking & Securities
- Defense & Intelligence
- Education
- Healthcare & Pharmaceutical
- Smart Cities & Intelligent Buildings
- Insurance
- Manufacturing & Natural Resources
- Web, Media & Entertainment
- Public Safety & Homeland Security
- Public Services
- Retail, Wholesale & Hospitality
- Telecommunications
- Utilities & Energy
- Others

Regional Markets

- Asia Pacific
- Eastern Europe
- Latin & Central America
- Middle East & Africa
- North America
- Western Europe

Country Markets

Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany,  India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK,  USA

Key Questions Answered

The report provides answers to the following key questions:

- How big is the Big Data ecosystem?
- How is the ecosystem evolving by segment and region?
- What will the market size be in 2020 and at what rate will it grow?
- What trends, challenges and barriers are influencing its growth?
- Who are the key Big Data software, hardware and services vendors and what are their strategies?
- How much are vertical enterprises investing in Big Data?
- What opportunities exist for Big Data analytics?
- Which countries and verticals will see the highest percentage of Big Data investments?

Make an Enquiry of this report @ https://www.researchmoz.us/enquiry.php?type=E&repid=804863

Key Findings

The report has the following key findings:

- In 2016, Big Data vendors will pocket over $46 Billion from hardware, software and professional services revenues.
- Big Data investments are further expected to grow at a CAGR of 12% over the next four years, eventually accounting for over $72 Billion by the end of 2020.
- The market is ripe for acquisitions of pure-play Big Data startups, as competition heats up between IT incumbents.
- Nearly every large scale IT vendor maintains a Big Data portfolio.
- At present, the market is largely dominated by hardware sales and professional services in terms of revenue.
- Going forward, software vendors, particularly those in the Big Data analytics segment, are expected to significantly increase their stake in the Big Data market.
- By the end of 2020, SNS Research expects Big Data software revenue to exceed hardware investments by over $7 Billion.

Thursday, 9 November 2017

Big Data Investments Are Further Expected To Grow At A CAGR Of 12% Over The Next Four Years, Eventually Accounting For Over $72 Billion By The End Of 2020

Researchmoz added Most up-to-date research on "The Big Data Market: 2016 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals and Forecasts" to its huge collection of research reports.

Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data to solve complex problems.

Amid the proliferation of real time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to scientific R&D.

Get Comple TOC With Tables and Figures @ https://www.researchmoz.us/the-big-data-market-2016-2030-opportunities-challenges-strategies-industry-verticals-and-forecasts-report.html/toc

Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Research estimates that Big Data investments will account for over $46 Billion in 2016 alone. These investments are further expected to grow at a CAGR of 12% over the next four years.

The “Big Data Market: 2016 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” report presents an in-depth assessment of the Big Data ecosystem including key market drivers, challenges, investment potential, vertical market opportunities and use cases, future roadmap, value chain, case studies on Big Data analytics, vendor market share and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services from 2016 through to 2030. The forecasts are further segmented for 8 horizontal submarkets, 14 vertical markets, 6 regions and 35 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

Topics Covered

The report covers the following topics:

- Big Data ecosystem
- Market drivers and barriers
- Big Data technology, standardization and regulatory initiatives
- Big Data industry roadmap and value chain
- Analysis and use cases for 14 vertical markets
- Big Data analytics technology and case studies
- Big Data vendor market share
- Company profiles and strategies of 150 Big Data ecosystem players
- Strategic recommendations for Big Data hardware, software and professional services vendors and enterprises
- Market analysis and forecasts from 2016 till 2030

Historical Revenue & Forecast Segmentation

Market forecasts and historical revenue figures are provided for each of the following submarkets and their subcategories:

- Hardware, Software & Professional Services
- Hardware
- Software
- Professional Services

Horizontal Submarkets

- Storage & Compute Infrastructure
- Networking Infrastructure
- Hadoop & Infrastructure Software
- SQL
- NoSQL
- Analytic Platforms & Applications
- Cloud Platforms
- Professional Services

To Get Sample Copy of Report visit @ https://www.researchmoz.us/enquiry.php?type=S&repid=804863

Vertical Submarkets

- Automotive, Aerospace & Transportation
- Banking & Securities
- Defense & Intelligence
- Education
- Healthcare & Pharmaceutical
- Smart Cities & Intelligent Buildings
- Insurance
- Manufacturing & Natural Resources
- Web, Media & Entertainment
- Public Safety & Homeland Security
- Public Services
- Retail, Wholesale & Hospitality
- Telecommunications
- Utilities & Energy
- Others

Regional Markets

- Asia Pacific
- Eastern Europe
- Latin & Central America
- Middle East & Africa
- North America
- Western Europe

Country Markets

Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany,  India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK,  USA

Key Questions Answered

The report provides answers to the following key questions:

- How big is the Big Data ecosystem?
- How is the ecosystem evolving by segment and region?
- What will the market size be in 2020 and at what rate will it grow?
- What trends, challenges and barriers are influencing its growth?
- Who are the key Big Data software, hardware and services vendors and what are their strategies?
- How much are vertical enterprises investing in Big Data?
- What opportunities exist for Big Data analytics?
- Which countries and verticals will see the highest percentage of Big Data investments?

Key Findings

The report has the following key findings:

- In 2016, Big Data vendors will pocket over $46 Billion from hardware, software and professional services revenues.
- Big Data investments are further expected to grow at a CAGR of 12% over the next four years, eventually accounting for over $72 Billion by the end of 2020.
- The market is ripe for acquisitions of pure-play Big Data startups, as competition heats up between IT incumbents.
- Nearly every large scale IT vendor maintains a Big Data portfolio.
- At present, the market is largely dominated by hardware sales and professional services in terms of revenue.
- Going forward, software vendors, particularly those in the Big Data analytics segment, are expected to significantly increase their stake in the Big Data market.
- By the end of 2020, SNS Research expects Big Data software revenue to exceed hardware investments by over $7 Billion.

List of Companies Mentioned

- 1010data
- Accel Partners
- Accenture
- Actian Corporation
- Actuate Corporation
- Adaptive Insights
- adMarketplace
- Adobe
- ADP
- Advizor Solutions
- AeroSpike
- AFS Technologies
- Alameda County Social Services Agency
- AlchemyDB

Continue...

Browse Detail Report @
https://www.researchmoz.us/the-big-data-market-2016-2030-opportunities-challenges-strategies-industry-verticals-and-forecasts-report.html

Tuesday, 12 September 2017

Big Data Investments Are Further Expected To Grow At A CAGR Of 12% Over The Next Four Years, Eventually Accounting For Over $72 Billion By The End Of 2020

Researchmoz added Most up-to-date research on "The Big Data Market: 2016 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals and Forecasts" to its huge collection of research reports.

Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data to solve complex problems.

To Get Sample Copy of Report visit @ http://www.researchmoz.us/enquiry.php?type=S&repid=804863

Amid the proliferation of real time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to scientific R&D.

Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Research estimates that Big Data investments will account for over $46 Billion in 2016 alone. These investments are further expected to grow at a CAGR of 12% over the next four years.

The “Big Data Market: 2016 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” report presents an in-depth assessment of the Big Data ecosystem including key market drivers, challenges, investment potential, vertical market opportunities and use cases, future roadmap, value chain, case studies on Big Data analytics, vendor market share and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services from 2016 through to 2030. The forecasts are further segmented for 8 horizontal submarkets, 14 vertical markets, 6 regions and 35 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

Topics Covered

The report covers the following topics:

- Big Data ecosystem
- Market drivers and barriers
- Big Data technology, standardization and regulatory initiatives
- Big Data industry roadmap and value chain
- Analysis and use cases for 14 vertical markets
- Big Data analytics technology and case studies
- Big Data vendor market share
- Company profiles and strategies of 150 Big Data ecosystem players
- Strategic recommendations for Big Data hardware, software and professional services vendors and enterprises
- Market analysis and forecasts from 2016 till 2030

Historical Revenue & Forecast Segmentation

Market forecasts and historical revenue figures are provided for each of the following submarkets and their subcategories:

- Hardware, Software & Professional Services
- Hardware
- Software
- Professional Services

Browse Detail Report With Full TOC @ http://www.researchmoz.us/the-big-data-market-2016-2030-opportunities-challenges-strategies-industry-verticals-and-forecasts-report.html

Horizontal Submarkets

- Storage & Compute Infrastructure
- Networking Infrastructure
- Hadoop & Infrastructure Software
- SQL
- NoSQL
- Analytic Platforms & Applications
- Cloud Platforms
- Professional Services

Vertical Submarkets

- Automotive, Aerospace & Transportation
- Banking & Securities
- Defense & Intelligence
- Education
- Healthcare & Pharmaceutical
- Smart Cities & Intelligent Buildings
- Insurance
- Manufacturing & Natural Resources
- Web, Media & Entertainment
- Public Safety & Homeland Security
- Public Services
- Retail, Wholesale & Hospitality
- Telecommunications
- Utilities & Energy
- Others

Regional Markets

- Asia Pacific
- Eastern Europe
- Latin & Central America
- Middle East & Africa
- North America
- Western Europe

Country Markets

Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany,  India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK,  USA

Key Questions Answered

The report provides answers to the following key questions:

- How big is the Big Data ecosystem?
- How is the ecosystem evolving by segment and region?
- What will the market size be in 2020 and at what rate will it grow?
- What trends, challenges and barriers are influencing its growth?
- Who are the key Big Data software, hardware and services vendors and what are their strategies?
- How much are vertical enterprises investing in Big Data?
- What opportunities exist for Big Data analytics?
- Which countries and verticals will see the highest percentage of Big Data investments?

Key Findings

The report has the following key findings:

- In 2016, Big Data vendors will pocket over $46 Billion from hardware, software and professional services revenues.
- Big Data investments are further expected to grow at a CAGR of 12% over the next four years, eventually accounting for over $72 Billion by the end of 2020.
- The market is ripe for acquisitions of pure-play Big Data startups, as competition heats up between IT incumbents.
- Nearly every large scale IT vendor maintains a Big Data portfolio.
- At present, the market is largely dominated by hardware sales and professional services in terms of revenue.
- Going forward, software vendors, particularly those in the Big Data analytics segment, are expected to significantly increase their stake in the Big Data market.
- By the end of 2020, SNS Research expects Big Data software revenue to exceed hardware investments by over $7 Billion.

Make an Enquiry of this report @ http://www.researchmoz.us/enquiry.php?type=E&repid=804863

Wednesday, 2 August 2017

Big Data Investments Are Further Expected To Grow At A CAGR Of 14% Over The Next 5 Years

Researchmoz added Most up-to-date research on "The Big Data Market: 2015 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals and Forecasts" to its huge collection of research reports.

“Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data to solve complex problems.

To Get Sample Copy of Report visit @ http://www.researchmoz.us/enquiry.php?type=S&repid=284135

Amid the proliferation of real time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to scientific R&D.

Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Research estimates that Big Data investments will account for nearly $40 Billion in 2015 alone. These investments are further expected to grow at a CAGR of 14% over the next 5 years.

The “Big Data Market: 2015 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” report presents an in-depth assessment of the Big Data ecosystem including key market drivers, challenges, investment potential, vertical market opportunities and use cases, future roadmap, value chain, case studies on Big Data analytics, vendor market share and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services from 2015 through to 2030. Historical figures are also presented for 2010, 2011, 2012, 2013 and 2014. The forecasts are further segmented for 8 horizontal submarkets, 15 vertical markets, 6 regions and 35 countries.


Browse Detail Report With Full TOC @ http://www.researchmoz.us/the-big-data-market-2015-2030-opportunities-challenges-strategies-industry-verticals-and-forecasts-report.html

Table of Content

1 CHAPTER 1: INTRODUCTION
1.1 Executive Summary
1.2 Topics Covered
1.3 Historical Revenue & Forecast Segmentation
1.4 Key Questions Answered
1.5 Key Findings
1.6 Methodology
1.7 Target Audience
1.8 Companies & Organizations Mentioned

Browse Detail Report With TOC @ http://www.researchmoz.us/the-big-data-market-2015-2030-opportunities-challenges-strategies-industry-verticals-and-forecasts-report.html

2 CHAPTER 2: AN OVERVIEW OF BIG DATA
2.1 What is Big Data?
2.2 Key Approaches to Big Data Processing
2.2.1 Hadoop
2.2.2 NoSQL
2.2.3 MPAD (Massively Parallel Analytic Databases)
2.2.4 In-memory Processing
2.2.5 Stream Processing Technologies
2.2.6 Spark
2.2.7 Other Databases & Analytic Technologies
2.3 Key Characteristics of Big Data
2.3.1 Volume
2.3.2 Velocity
2.3.3 Variety
2.3.4 Value
2.4 Market Growth Drivers
2.4.1 Awareness of Benefits
2.4.2 Maturation of Big Data Platforms
2.4.3 Continued Investments by Web Giants, Governments & Enterprises
2.4.4 Growth of Data Volume, Velocity & Variety
2.4.5 Vendor Commitments & Partnerships
2.4.6 Technology Trends Lowering Entry Barriers
2.5 Market Barriers
2.5.1 Lack of Analytic Specialists
2.5.2 Uncertain Big Data Strategies
2.5.3 Organizational Resistance to Big Data Adoption
2.5.4 Technical Challenges: Scalability & Maintenance
2.5.5 Security & Privacy Concerns

3 CHAPTER 3: VERTICAL OPPORTUNITIES & USE CASES FOR BIG DATA
3.1 Automotive, Aerospace & Transportation
3.1.1 Predictive Warranty Analysis
3.1.2 Predictive Aircraft Maintenance & Fuel Optimization
3.1.3 Air Traffic Control
3.1.4 Transport Fleet Optimization
3.2 Banking & Securities
3.2.1 Customer Retention & Personalized Product Offering
3.2.2 Risk Management
3.2.3 Fraud Detection
3.2.4 Credit Scoring
3.3 Defense & Intelligence
3.3.1 Intelligence Gathering
3.3.2 Energy Saving Opportunities in the Battlefield
3.3.3 Preventing Injuries on the Battlefield
3.4 Education
3.4.1 Information Integration
3.4.2 Identifying Learning Patterns
3.4.3 Enabling Student-Directed Learning
3.5 Healthcare & Pharmaceutical
3.5.1 Managing Population Health Efficiently
3.5.2 Improving Patient Care with Medical Data Analytics
3.5.3 Improving Clinical Development & Trials
3.5.4 Improving Time to Market
3.6 Smart Cities & Intelligent Buildings
3.6.1 Energy Optimization & Fault Detection
3.6.2 Intelligent Building Analytics
3.6.3 Urban Transportation Management
3.6.4 Optimizing Energy Production
3.6.5 Water Management
3.6.6 Urban Waste Management
3.7 Insurance
3.7.1 Claims Fraud Mitigation
3.7.2 Customer Retention & Profiling
3.7.3 Risk Management
3.8 Manufacturing & Natural Resources
3.8.1 Asset Maintenance & Downtime Reduction
3.8.2 Quality & Environmental Impact Control
3.8.3 Optimized Supply Chain
3.8.4 Exploration & Identification of Wells & Mines
3.8.5 Maximizing the Potential of Drilling
3.8.6 Production Optimization
3.9 Web, Media & Entertainment
3.9.1 Audience & Advertising Optimization
3.9.2 Channel Optimization
3.9.3 Recommendation Engines
3.9.4 Optimized Search
3.9.5 Live Sports Event Analytics
3.9.6 Outsourcing Big Data Analytics to Other Verticals
3.10 Public Safety & Homeland Security
3.10.1 Cyber Crime Mitigation
3.10.2 Crime Prediction Analytics
3.10.3 Video Analytics & Situational Awareness
3.11 Public Services
3.11.1 Public Sentiment Analysis
3.11.2 Fraud Detection & Prevention
3.11.3 Economic Analysis
3.12 Retail & Hospitality
3.12.1 Customer Sentiment Analysis
3.12.2 Customer & Branch Segmentation
3.12.3 Price Optimization
3.12.4 Personalized Marketing
3.12.5 Optimized Supply Chain
3.13 Telecommunications
3.13.1 Network Performance & Coverage Optimization
3.13.2 Customer Churn Prevention
3.13.3 Personalized Marketing
3.13.4 Location Based Services
3.13.5 Fraud Detection
3.14 Utilities & Energy
3.14.1 Customer Retention
3.14.2 Forecasting Energy
3.14.3 Billing Analytics
3.14.4 Predictive Maintenance
3.14.5 Turbine Placement Optimization
3.15 Wholesale Trade
3.15.1 In-field Sales Analytics
3.15.2 Monitoring the Supply Chain

Make an Enquiry of this report @ http://www.researchmoz.us/enquiry.php?type=E&repid=284135

Friday, 28 July 2017

The Big Data Industry Verticals and Forecasts 2016 - 2030 Companies Mentioned – Adobe, ADP, AOL, Apple, AT&T, Avvasi, BMC Software, Capgemini, Dell, Deloitte, IBM, Microsoft

Researchmoz added Most up-to-date research on "The Big Data Market: 2016 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals and Forecasts" to its huge collection of research reports.

Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data to solve complex problems.

Amid the proliferation of real time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to scientific R&D.

Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Research estimates that Big Data investments will account for over $46 Billion in 2016 alone. These investments are further expected to grow at a CAGR of 12% over the next four years.

To Get Sample Copy of Report visit @ http://www.researchmoz.us/enquiry.php?type=S&repid=804863

The “Big Data Market: 2016 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” report presents an in-depth assessment of the Big Data ecosystem including key market drivers, challenges, investment potential, vertical market opportunities and use cases, future roadmap, value chain, case studies on Big Data analytics, vendor market share and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services from 2016 through to 2030. The forecasts are further segmented for 8 horizontal submarkets, 14 vertical markets, 6 regions and 35 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

Topics Covered

The report covers the following topics:

- Big Data ecosystem
- Market drivers and barriers
- Big Data technology, standardization and regulatory initiatives
- Big Data industry roadmap and value chain
- Analysis and use cases for 14 vertical markets
- Big Data analytics technology and case studies
- Big Data vendor market share
- Company profiles and strategies of 150 Big Data ecosystem players
- Strategic recommendations for Big Data hardware, software and professional services vendors and enterprises
- Market analysis and forecasts from 2016 till 2030

Historical Revenue & Forecast Segmentation

Market forecasts and historical revenue figures are provided for each of the following submarkets and their subcategories:
- Hardware, Software & Professional Services
- Hardware
- Software
- Professional Services

Horizontal Submarkets

- Storage & Compute Infrastructure
- Networking Infrastructure
- Hadoop & Infrastructure Software
- SQL
- NoSQL
- Analytic Platforms & Applications
- Cloud Platforms
- Professional Services

Vertical Submarkets

- Automotive, Aerospace & Transportation
- Banking & Securities
- Defense & Intelligence
- Education
- Healthcare & Pharmaceutical
- Smart Cities & Intelligent Buildings
- Insurance
- Manufacturing & Natural Resources
- Web, Media & Entertainment
- Public Safety & Homeland Security
- Public Services
- Retail, Wholesale & Hospitality
- Telecommunications
- Utilities & Energy
- Others

Regional Markets

- Asia Pacific
- Eastern Europe
- Latin & Central America
- Middle East & Africa
- North America
- Western Europe

Country Markets

Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany,  India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK,  USA

Key Questions Answered

The report provides answers to the following key questions:

- How big is the Big Data ecosystem?
- How is the ecosystem evolving by segment and region?
- What will the market size be in 2020 and at what rate will it grow?
- What trends, challenges and barriers are influencing its growth?
- Who are the key Big Data software, hardware and services vendors and what are their strategies?
- How much are vertical enterprises investing in Big Data?
- What opportunities exist for Big Data analytics?
- Which countries and verticals will see the highest percentage of Big Data investments?

Key Findings

The report has the following key findings:

- In 2016, Big Data vendors will pocket over $46 Billion from hardware, software and professional services revenues.
- Big Data investments are further expected to grow at a CAGR of 12% over the next four years, eventually accounting for over $72 Billion by the end of 2020.
- The market is ripe for acquisitions of pure-play Big Data startups, as competition heats up between IT incumbents.
- Nearly every large scale IT vendor maintains a Big Data portfolio.
- At present, the market is largely dominated by hardware sales and professional services in terms of revenue.
- Going forward, software vendors, particularly those in the Big Data analytics segment, are expected to significantly increase their stake in the Big Data market.
- By the end of 2020, SNS Research expects Big Data software revenue to exceed hardware investments by over $7 Billion.

Make an Enquiry of this report @ http://www.researchmoz.us/enquiry.php?type=E&repid=804863

Sunday, 23 July 2017

Global Big Data Market in the Oil and Gas Sector 2016-2020 - Key Vendors HP, IBM, Oracle, Teradata, Actian, Alteryx, Basho, Cloudera, Datameer, Digital Reasoning, DataStax, Guavus

Researchmoz added Most up-to-date research on "Global Big Data Market in the Oil and Gas Sector 2016-2020" to its huge collection of research reports.

Big data solutions are the wide range of solutions required for processing and analyzing enterprise data, which are too large for traditional data processing tools to manage. The oil and gas sector generates various types of structured and unstructured data.

The type of data ranges from terabytes (10^12 bytes) to zettabytes (10^21 bytes) in size. Big data solutions are used in the oil and gas sector to provide a fast consolidated view of organization-wide information. Big data solutions also help organizations to improve their operational performance and maximize profitability.

Market analysts forecast the global big data market in the oil and gas sector to grow at a CAGR of 30.67% during the period 2016-2020.

To Get Sample Copy of Report visit @ http://www.researchmoz.us/enquiry.php?type=S&repid=517605

Covered in this report
The report covers the present scenario and the growth prospects of the global big data market in the oil and gas sector for the period 20162020. To calculate the market size, the report considers the revenue generated from the sales of big data solutions in the oil and gas sector from the following:
Software licenses and subscriptions
Software implementation costs
Technical support and maintenance costs

Global Big Data in Oil and Gas sector 2016-2020, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.
Key vendors
HP
IBM
Oracle
Teradata

Other prominent vendors
Actian
Alteryx
Basho
Cloudera
Datameer
Digital Reasoning
DataStax
Guavus
Kognitio
MapR
Opera Solutions
Splunk.

Market driver
Huge amounts of data
For a full, detailed list, view our report

Market challenge
Lack of awareness
For a full, detailed list, view our report

Market trend
Adoption of user-friendly predictive modeling
For a full, detailed list, view our report

Key questions answered in this report
What will the market size be in 2020 and what will the growth rate be?
What are the key market trends?
What is driving this market?
What are the challenges to market growth?
Who are the key vendors in this market space?
What are the market opportunities and threats faced by the key vendors?
What are the strengths and weaknesses of the key vendors?

Browse Detail Report With TOC @ http://www.researchmoz.us/global-big-data-market-in-the-oil-and-gas-sector-2016-2020-report.html

Table Of Content

PART 01: Executive summary
Highlights
PART 02: Scope of the report
Market overview
Top-vendor offerings
PART 03: Market research methodology
Research methodology
Economic indicators
PART 04: Introduction
Key market highlights
PART 05: Big data overview
Definition of Big data
Big Data in oil and gas sector
Industry dynamics
PART 06: Market landscape
Market overview
Market size and forecast
Big data in oil and gas sector as segment of big data in all sectors
Five forces analysis
PART 07: Market segmentation by product
Services
Software
PART 08: Geographical segmentation
PART 09: Market drivers
Huge amounts of data
Increased demand for enhanced BI solutions
Need to improve productivity in oil and gas sector
Demand for easy data access
PART 10: Impact of drivers
PART 11: Market challenges
Lack of awareness
Lack of talented professionals
Industry barriers
Data security and privacy issues
PART 12: Impact of drivers and challenges
PART 13: Market trends
Adoption of user-friendly predictive modeling
Increased demand for advanced analytics
Emergence of cloud computing technology
PART 14: Vendor landscape
Vendor analysis
Promising pure players of big data market
Other prominent vendors
PART 15: Key vendor analysis
HP
IBM
Oracle
Teradata

Make an Enquiry of this report @ http://www.researchmoz.us/enquiry.php?type=E&repid=517605

Tuesday, 20 June 2017

Big Data Industry Analysis, Opportunities, Challenges, Strategies and Forecasts Research Report 2017 - 2030

Researchmoz added Most up-to-date research on "The Big Data Market: 2017 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals and Forecasts" to its huge collection of research reports.

“Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data, to solve complex problems.

Amid the proliferation of real-time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to scientific R&D.

Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Research estimates that Big Data investments will account for over $57 Billion in 2017 alone. These investments are further expected to grow at a CAGR of approximately 10% over the next three years.

To Get Sample Copy of Report visit @ http://www.researchmoz.us/enquiry.php?type=S&repid=1170818

The “Big Data Market: 2017 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” report presents an in-depth assessment of the Big Data ecosystem including key market drivers, challenges, investment potential, vertical market opportunities and use cases, future roadmap, value chain, case studies on Big Data analytics, vendor market share and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services from 2017 through to 2030. The forecasts are further segmented for 8 horizontal submarkets, 14 vertical markets, 6 regions and 35 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

The report covers the following topics:

- Big Data ecosystem
- Market drivers and barriers
- Big Data technology, standardization and regulatory initiatives
- Big Data industry roadmap and value chain
- Analysis and use cases for 14 vertical markets
- Big Data analytics technology and case studies
- Big Data vendor market share
- Company profiles and strategies of 240 Big Data ecosystem players
- Strategic recommendations for Big Data hardware, software and professional services vendors, and enterprises
- Market analysis and forecasts from 2017 till 2030

Forecast Segmentation

Market forecasts are provided for each of the following submarkets and their subcategories:

Hardware, Software & Professional Services

- Hardware
- Software
- Professional Services

Horizontal Submarkets

- Storage & Compute Infrastructure
- Networking Infrastructure
- Hadoop & Infrastructure Software
- SQL
- NoSQL
- Analytic Platforms & Applications
- Cloud Platforms
- Professional Services

Vertical Submarkets

- Automotive, Aerospace & Transportation
- Banking & Securities
- Defense & Intelligence
- Education
- Healthcare & Pharmaceutical
- Smart Cities & Intelligent Buildings
- Insurance
- Manufacturing & Natural Resources
- Web, Media & Entertainment
- Public Safety & Homeland Security
- Public Services
- Retail, Wholesale & Hospitality
- Telecommunications
- Utilities & Energy
- Others

Regional Markets

- Asia Pacific
- Eastern Europe
- Latin & Central America
- Middle East & Africa
- North America
- Western Europe

Country Markets

Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany, India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK, USA

The report provides answers to the following key questions:

- How big is the Big Data ecosystem?
- How is the ecosystem evolving by segment and region?
- What will the market size be in 2020 and at what rate will it grow?
- What trends, challenges and barriers are influencing its growth?
- Who are the key Big Data software, hardware and services vendors and what are their strategies?
- How much are vertical enterprises investing in Big Data?
- What opportunities exist for Big Data analytics?
- Which countries and verticals will see the highest percentage of Big Data investments?

The report has the following key findings:

- In 2017, Big Data vendors will pocket over $57 Billion from hardware, software and professional services revenues. These investments are further expected to grow at a CAGR of approximately 10% over the next four years, eventually accounting for over $76 Billion by the end of 2020.
- As part of wider plans to revitalize their economies, countries across the world are incorporating legislative initiatives to capitalize on Big Data. For example, the Japanese government is engaged in developing intellectual property protection and dispute resolution frameworks for Big Data assets, in a bid to encourage data sharing and accelerate the development of domestic industries.
- By the end of 2017, SNS Research estimates that as much as 30% of all Big Data workloads will be processed via cloud services as enterprises seek to avoid large-scale infrastructure investments and security issues associated with on-premise implementations.
- The vendor arena is continuing to consolidate with several prominent M&A deals such as computer hardware giant Dell's $60 Billion merger with data storage specialist EMC.

Make an Enquiry of this report @ http://www.researchmoz.us/enquiry.php?type=E&repid=1170818

Thursday, 15 June 2017

The Big Data Market: 2016 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals and Forecasts | Now Available at Researchmoz.us

Researchmoz added Most up-to-date research on "The Big Data Market: 2016 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals and Forecasts" to its huge collection of research reports.

Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data to solve complex problems.

Amid the proliferation of real time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to scientific R&D.

Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Research estimates that Big Data investments will account for over $46 Billion in 2016 alone. These investments are further expected to grow at a CAGR of 12% over the next four years.

To Get Sample Copy of Report visit @ http://www.researchmoz.us/enquiry.php?type=S&repid=804863

The “Big Data Market: 2016 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” report presents an in-depth assessment of the Big Data ecosystem including key market drivers, challenges, investment potential, vertical market opportunities and use cases, future roadmap, value chain, case studies on Big Data analytics, vendor market share and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services from 2016 through to 2030. The forecasts are further segmented for 8 horizontal submarkets, 14 vertical markets, 6 regions and 35 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

Topics Covered

The report covers the following topics:

- Big Data ecosystem
- Market drivers and barriers
- Big Data technology, standardization and regulatory initiatives
- Big Data industry roadmap and value chain
- Analysis and use cases for 14 vertical markets
- Big Data analytics technology and case studies
- Big Data vendor market share
- Company profiles and strategies of 150 Big Data ecosystem players
- Strategic recommendations for Big Data hardware, software and professional services vendors and enterprises
- Market analysis and forecasts from 2016 till 2030

Historical Revenue & Forecast Segmentation

Market forecasts and historical revenue figures are provided for each of the following submarkets and their subcategories:

- Hardware, Software & Professional Services
- Hardware
- Software
- Professional Services

Horizontal Submarkets

- Storage & Compute Infrastructure
- Networking Infrastructure
- Hadoop & Infrastructure Software
- SQL
- NoSQL
- Analytic Platforms & Applications
- Cloud Platforms
- Professional Services

Vertical Submarkets

- Automotive, Aerospace & Transportation
- Banking & Securities
- Defense & Intelligence
- Education
- Healthcare & Pharmaceutical
- Smart Cities & Intelligent Buildings
- Insurance
- Manufacturing & Natural Resources
- Web, Media & Entertainment
- Public Safety & Homeland Security
- Public Services
- Retail, Wholesale & Hospitality
- Telecommunications
- Utilities & Energy
- Others

Regional Markets

- Asia Pacific
- Eastern Europe
- Latin & Central America
- Middle East & Africa
- North America
- Western Europe

Country Markets

Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany,  India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK,  USA

Key Questions Answered

The report provides answers to the following key questions:

- How big is the Big Data ecosystem?
- How is the ecosystem evolving by segment and region?
- What will the market size be in 2020 and at what rate will it grow?
- What trends, challenges and barriers are influencing its growth?
- Who are the key Big Data software, hardware and services vendors and what are their strategies?
- How much are vertical enterprises investing in Big Data?
- What opportunities exist for Big Data analytics?
- Which countries and verticals will see the highest percentage of Big Data investments?

Key Findings

The report has the following key findings:

- In 2016, Big Data vendors will pocket over $46 Billion from hardware, software and professional services revenues.
- Big Data investments are further expected to grow at a CAGR of 12% over the next four years, eventually accounting for over $72 Billion by the end of 2020.
- The market is ripe for acquisitions of pure-play Big Data startups, as competition heats up between IT incumbents.
- Nearly every large scale IT vendor maintains a Big Data portfolio.
- At present, the market is largely dominated by hardware sales and professional services in terms of revenue.
- Going forward, software vendors, particularly those in the Big Data analytics segment, are expected to significantly increase their stake in the Big Data market.
- By the end of 2020, SNS Research expects Big Data software revenue to exceed hardware investments by over $7 Billion.

Make an Enquiry of this report @ http://www.researchmoz.us/enquiry.php?type=E&repid=804863

Friday, 26 May 2017

Europe Big Data Industry Key Trends, Size, Growth, Shares And Forecast Research Report 2016

Researchmoz added Most up-to-date research on "Europe Big Data Market Report 2016" to its huge collection of research reports.

This report studies sales (consumption) of Big Data in Europe market, especially in Germany, UK, France, Russia, Italy, Benelux and Spain, focuses on top players in these countries, with sales, price, revenue and market share for each player in these Countries, covering
TEG Analytics
Heckyl Technologies
KloudData Inc
Gramener
Germin
VIS Networks Pvt. Ltd.
Abzooba
Fintellix
Latentview
Indix
Analytic-Edge
Tookitaki

To Get Sample Copy of Report visit @ http://www.researchmoz.us/enquiry.php?type=S&repid=851786

Market Segment by Countries, this report splits Europe into several key Countries, with sales (consumption), revenue, market share and growth rate of Big Data in these countries, from 2011 to 2021 (forecast), like
Germany
France
UK
Russia
Italy
Spain
Benelux

Split by product type, with sales, revenue, price, market share and growth rate of each type, can be divided intoType I
Type II
Type III
Split by application, this report focuses on sales, market share and growth rate of Big Data in each application, can be divided into
Application 1
Application 2
Application 3

Table of Contents

Europe Big Data Market Report 2016
1 Big Data Overview
1.1 Product Overview and Scope of Big Data
1.2 Classification of Big Data
1.2.1 Type I
1.2.2 Type II
1.2.3 Type III
1.3 Application of Big Data
1.3.1 Application 1
1.3.2 Application 2
1.3.3 Application 3
1.4 Big Data Market by Countries
1.4.1 Germany Status and Prospect (2011-2021)
1.4.2 France Status and Prospect (2011-2021)
1.4.3 UK Status and Prospect (2011-2021)
1.4.4 Russia Status and Prospect (2011-2021)
1.4.5 Italy Status and Prospect (2011-2021)
1.4.6 Spain Status and Prospect (2011-2021)
1.4.7 Benelux Status and Prospect (2011-2021)
1.5 Europe Market Size (Value and Volume) of Big Data (2011-2021)
1.5.1 Europe Big Data Sales and Growth Rate (2011-2021)
1.5.2 Europe Big Data Revenue and Growth Rate (2011-2021)

2 Europe Big Data by Manufacturers, Type and Application
2.1 Europe Big Data Market Competition by Manufacturers
2.1.1 Europe Big Data Sales and Market Share of Key Manufacturers (2015 and 2016)
2.1.2 Europe Big Data Revenue and Share by Manufacturers (2015 and 2016)
2.2 Europe Big Data (Volume and Value) by Type
2.2.1 Europe Big Data Sales and Market Share by Type (2011-2016)
2.2.2 Europe Big Data Revenue and Market Share by Type (2011-2016)
2.3 Europe Big Data (Volume and Value) by Countries
2.3.1 Europe Big Data Sales and Market Share by Countries (2011-2016)
2.3.2 Europe Big Data Revenue and Market Share by Countries (2011-2016)
2.4 Europe Big Data (Volume) by Application

3 Germany Big Data (Volume, Value and Sales Price)
3.1 Germany Big Data Sales and Value (2011-2016)
3.1.1 Germany Big Data Sales and Growth Rate (2011-2016)
3.1.2 Germany Big Data Revenue and Growth Rate (2011-2016)
3.1.3 Germany Big Data Sales Price Trend (2011-2016)
3.2 Germany Big Data Sales and Market Share by Manufacturers
3.3 Germany Big Data Sales and Market Share by Type
3.4 Germany Big Data Sales and Market Share by Application

4 France Big Data (Volume, Value and Sales Price)
4.1 France Big Data Sales and Value (2011-2016)
4.1.1 France Big Data Sales and Growth Rate (2011-2016)
4.1.2 France Big Data Revenue and Growth Rate (2011-2016)
4.1.4 France Big Data Sales Price Trend (2011-2016)
4.2 France Big Data Sales and Market Share by Manufacturers
4.3 France Big Data Sales and Market Share by Type
4.4 France Big Data Sales and Market Share by Application

5 UK Big Data (Volume, Value and Sales Price)
5.1 UK Big Data Sales and Value (2011-2016)
5.1.1 UK Big Data Sales and Growth Rate (2011-2016)
5.1.2 UK Big Data Revenue and Growth Rate (2011-2016)
5.1.5 UK Big Data Sales Price Trend (2011-2016)
5.2 UK Big Data Sales and Market Share by Manufacturers
5.3 UK Big Data Sales and Market Share by Type
5.4 UK Big Data Sales and Market Share by Application

6 Russia Big Data (Volume, Value and Sales Price)
6.1 Russia Big Data Sales and Value (2011-2016)
6.1.1 Russia Big Data Sales and Growth Rate (2011-2016)
6.1.2 Russia Big Data Revenue and Growth Rate (2011-2016)
6.1.6 Russia Big Data Sales Price Trend (2011-2016)
6.2 Russia Big Data Sales and Market Share by Manufacturers
6.3 Russia Big Data Sales and Market Share by Type
6.4 Russia Big Data Sales and Market Share by Application

Make an Enquiry of this report @ http://www.researchmoz.us/enquiry.php?type=E&repid=851786

Wednesday, 17 May 2017

New Study on The Big Data Market Opportunities, Challenges, Strategies, Industry Verticals and Forecasts 2016 - 2030

Researchmoz added Most up-to-date research on "The Big Data Market: 2016 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals and Forecasts" to its huge collection of research reports.

Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data to solve complex problems.

Amid the proliferation of real time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to scientific R&D.

Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Research estimates that Big Data investments will account for over $46 Billion in 2016 alone. These investments are further expected to grow at a CAGR of 12% over the next four years.

To Get Sample Copy of Report visit @ http://www.researchmoz.us/enquiry.php?type=S&repid=804863

The “Big Data Market: 2016 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” report presents an in-depth assessment of the Big Data ecosystem including key market drivers, challenges, investment potential, vertical market opportunities and use cases, future roadmap, value chain, case studies on Big Data analytics, vendor market share and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services from 2016 through to 2030. The forecasts are further segmented for 8 horizontal submarkets, 14 vertical markets, 6 regions and 35 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

Topics Covered

The report covers the following topics:

- Big Data ecosystem
- Market drivers and barriers
- Big Data technology, standardization and regulatory initiatives
- Big Data industry roadmap and value chain
- Analysis and use cases for 14 vertical markets
- Big Data analytics technology and case studies
- Big Data vendor market share
- Company profiles and strategies of 150 Big Data ecosystem players
- Strategic recommendations for Big Data hardware, software and professional services vendors and enterprises
- Market analysis and forecasts from 2016 till 2030

Historical Revenue & Forecast Segmentation

Market forecasts and historical revenue figures are provided for each of the following submarkets and their subcategories:

- Hardware, Software & Professional Services
- Hardware
- Software
- Professional Services

Horizontal Submarkets

- Storage & Compute Infrastructure
- Networking Infrastructure
- Hadoop & Infrastructure Software
- SQL
- NoSQL
- Analytic Platforms & Applications
- Cloud Platforms
- Professional Services

Vertical Submarkets

- Automotive, Aerospace & Transportation
- Banking & Securities
- Defense & Intelligence
- Education
- Healthcare & Pharmaceutical
- Smart Cities & Intelligent Buildings
- Insurance
- Manufacturing & Natural Resources
- Web, Media & Entertainment
- Public Safety & Homeland Security
- Public Services
- Retail, Wholesale & Hospitality
- Telecommunications
- Utilities & Energy
- Others

Regional Markets

- Asia Pacific
- Eastern Europe
- Latin & Central America
- Middle East & Africa
- North America
- Western Europe

Country Markets

Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany,  India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK,  USA

Key Questions Answered

The report provides answers to the following key questions:

- How big is the Big Data ecosystem?
- How is the ecosystem evolving by segment and region?
- What will the market size be in 2020 and at what rate will it grow?
- What trends, challenges and barriers are influencing its growth?
- Who are the key Big Data software, hardware and services vendors and what are their strategies?
- How much are vertical enterprises investing in Big Data?
- What opportunities exist for Big Data analytics?
- Which countries and verticals will see the highest percentage of Big Data investments?

Key Findings

The report has the following key findings:

- In 2016, Big Data vendors will pocket over $46 Billion from hardware, software and professional services revenues.
- Big Data investments are further expected to grow at a CAGR of 12% over the next four years, eventually accounting for over $72 Billion by the end of 2020.
- The market is ripe for acquisitions of pure-play Big Data startups, as competition heats up between IT incumbents.
- Nearly every large scale IT vendor maintains a Big Data portfolio.
- At present, the market is largely dominated by hardware sales and professional services in terms of revenue.
- Going forward, software vendors, particularly those in the Big Data analytics segment, are expected to significantly increase their stake in the Big Data market.
- By the end of 2020, SNS Research expects Big Data software revenue to exceed hardware investments by over $7 Billion.

Make an Enquiry of this report @ http://www.researchmoz.us/enquiry.php?type=E&repid=804863

Tuesday, 16 May 2017

The Big Data Industry Key Trends, Size, Growth, Shares And Forecast Research Report 2016 - 2030

Researchmoz added Most up-to-date research on "The Big Data Market: 2016 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals and Forecasts" to its huge collection of research reports.

Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data to solve complex problems.

Amid the proliferation of real time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to scientific R&D.

Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Research estimates that Big Data investments will account for over $46 Billion in 2016 alone. These investments are further expected to grow at a CAGR of 12% over the next four years.

To Get Sample Copy of Report visit @ http://www.researchmoz.us/enquiry.php?type=S&repid=804863

The “Big Data Market: 2016 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” report presents an in-depth assessment of the Big Data ecosystem including key market drivers, challenges, investment potential, vertical market opportunities and use cases, future roadmap, value chain, case studies on Big Data analytics, vendor market share and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services from 2016 through to 2030. The forecasts are further segmented for 8 horizontal submarkets, 14 vertical markets, 6 regions and 35 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

Topics Covered

The report covers the following topics:

- Big Data ecosystem
- Market drivers and barriers
- Big Data technology, standardization and regulatory initiatives
- Big Data industry roadmap and value chain
- Analysis and use cases for 14 vertical markets
- Big Data analytics technology and case studies
- Big Data vendor market share
- Company profiles and strategies of 150 Big Data ecosystem players
- Strategic recommendations for Big Data hardware, software and professional services vendors and enterprises
- Market analysis and forecasts from 2016 till 2030

Historical Revenue & Forecast Segmentation

Market forecasts and historical revenue figures are provided for each of the following submarkets and their subcategories:

- Hardware, Software & Professional Services
- Hardware
- Software
- Professional Services

Horizontal Submarkets

- Storage & Compute Infrastructure
- Networking Infrastructure
- Hadoop & Infrastructure Software
- SQL
- NoSQL
- Analytic Platforms & Applications
- Cloud Platforms
- Professional Services

Vertical Submarkets

- Automotive, Aerospace & Transportation
- Banking & Securities
- Defense & Intelligence
- Education
- Healthcare & Pharmaceutical
- Smart Cities & Intelligent Buildings
- Insurance
- Manufacturing & Natural Resources
- Web, Media & Entertainment
- Public Safety & Homeland Security
- Public Services
- Retail, Wholesale & Hospitality
- Telecommunications
- Utilities & Energy
- Others

Regional Markets

- Asia Pacific
- Eastern Europe
- Latin & Central America
- Middle East & Africa
- North America
- Western Europe

Country Markets

Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany,  India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK,  USA

Key Questions Answered

The report provides answers to the following key questions:

- How big is the Big Data ecosystem?
- How is the ecosystem evolving by segment and region?
- What will the market size be in 2020 and at what rate will it grow?
- What trends, challenges and barriers are influencing its growth?
- Who are the key Big Data software, hardware and services vendors and what are their strategies?
- How much are vertical enterprises investing in Big Data?
- What opportunities exist for Big Data analytics?
- Which countries and verticals will see the highest percentage of Big Data investments?

Key Findings

The report has the following key findings:

- In 2016, Big Data vendors will pocket over $46 Billion from hardware, software and professional services revenues.
- Big Data investments are further expected to grow at a CAGR of 12% over the next four years, eventually accounting for over $72 Billion by the end of 2020.
- The market is ripe for acquisitions of pure-play Big Data startups, as competition heats up between IT incumbents.
- Nearly every large scale IT vendor maintains a Big Data portfolio.
- At present, the market is largely dominated by hardware sales and professional services in terms of revenue.
- Going forward, software vendors, particularly those in the Big Data analytics segment, are expected to significantly increase their stake in the Big Data market.
- By the end of 2020, SNS Research expects Big Data software revenue to exceed hardware investments by over $7 Billion.

Make an Enquiry of this report @ http://www.researchmoz.us/enquiry.php?type=E&repid=804863

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