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...

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...

Big Data In The Automotive Industry Expected To Grow At A CAGR Of Approximately 12%, Accounting For Over $4 Billion By The End Of 2020

Researchmoz added Most up-to-date research on "Big Data in the Automotive Industry: 2017 - 2030 - Opportunities, Challenges, Strategies & 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 and historical data from sources such as connected devices, web, social media, sensors, log files and transactional applications, Big Data is rapidly gaining traction from a diverse range of vertical sectors. The automotive industry is no exception to this trend, where Big Data has found a host of applications ranging from product design and manufacturing to predictive vehicle maintenance and autonomous driving.

To Get Sample Copy of Report visit @ https://www.researchmoz.us/enquiry.php?type=S&repid=1170819

SNS Research estimates that Big Data investments in the automotive industry will account for over $2.8 Billion in 2017 alone.  Led by a plethora of business opportunities for automotive OEMs, tier-1 suppliers, insurers, dealerships and other stakeholders, these investments are further expected to grow at a CAGR of approximately 12% over the next three years.

The “Big Data in the Automotive Industry: 2017 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of Big Data in the automotive industry including key market drivers, challenges, investment potential, application areas, use cases, future roadmap, value chain, case studies, vendor profiles and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services investments from 2017 through to 2030. The forecasts are segmented for 8 horizontal submarkets, 4 application areas, 18 use cases, 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
- Enabling technologies, standardization and regulatory initiatives
- Big Data analytics and implementation models
- Business case, key applications and use cases in the automotive industry
- 30 case studies of Big Data investments by automotive OEMs and other stakeholders
- Future roadmap and value chain
- Company profiles and strategies of over 240 Big Data vendors
- Strategic recommendations for Big Data vendors, automotive OEMs and other stakeholders
- 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/big-data-in-the-automotive-industry-2017-2030-opportunities-challenges-strategies-forecasts-report.html/toc

Horizontal Submarkets

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

Application Areas

- Product Development, Manufacturing & Supply Chain
- After-Sales, Warranty & Dealer Management
- Connected Vehicles & Intelligent Transportation
- Marketing, Sales & Other Applications

Use Cases

- Supply Chain Management
- Manufacturing
- Product Design & Planning
- Predictive Maintenance & Real-Time Diagnostics
- Recall & Warranty Management
- Parts Inventory & Pricing Optimization
- Dealer Management & Customer Support Services
- UBI (Usage-Based Insurance)
- Autonomous & Semi-Autonomous Driving
- Intelligent Transportation
- Fleet Management
- Driver Safety & Vehicle Cyber Security
- In-Vehicle Experience, Navigation & Infotainment
- Ride Sourcing, Sharing & Rentals
- Marketing & Sales
- Customer Retention
- Third Party Monetization
- Other Use Cases

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 opportunity in the automotive industry?
- How is the market 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 automotive OEMs and other stakeholders investing in Big Data?
- What opportunities exist for Big Data analytics in the automotive industry?
- Which countries, application areas and use cases will see the highest percentage of Big Data investments in the automotive industry?

Make an Enquiry of this report @ https://www.researchmoz.us/enquiry.php?type=E&repid=1170819

Key Findings

The report has the following key findings:

- In 2017, Big Data vendors will pocket over $2.8 Billion from hardware, software and professional services revenues in the automotive industry. These investments are further expected to grow at a CAGR of approximately 12% over the next three years, eventually accounting for over $4 Billion by the end of 2020.
- In a bid to improve customer retention, automotive OEMs are heavily relying on Big Data and analytics to integrate an array of data-driven aftermarket services such as predictive vehicle maintenance, real-time mapping and personalized concierge services.
- In recent years, several prominent partnerships and M&A deals have taken place that highlight the growing importance of Big Data in the automotive industry. For example, tier-1 supplier Delphi recently led an investment round to raise over $25 Million for Otonomo, a startup that has developed a data exchange and marketplace platform for vehicle-generated data.
- Addressing privacy concerns is necessary in order to monetize the swaths of Big Data that will be generated by a growing installed base of connected vehicles and other segments of the automotive industry.

Big Data in the Healthcare & Pharmaceutical Industry Is Expected To Grow At A CAGR Of More Than 15% Over The Next Three Years, Accounting For Over $5.8 Billion

Researchmoz added Most up-to-date research on "Big Data in the Healthcare & Pharmaceutical Industry: 2017 - 2030 - Opportunities, Challenges, Strategies & 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 and historical data from sources such as connected devices, web, social media, sensors, log files and transactional applications, Big Data is rapidly gaining traction from a diverse range of vertical sectors. The healthcare and pharmaceutical industry is no exception to this trend, where Big Data has found a host of applications ranging from drug discovery and precision medicine to clinical decision support and population health management.

To Get Sample Copy of Report visit @ https://www.researchmoz.us/enquiry.php?type=S&repid=1293483

SNS Research estimates that Big Data investments in the healthcare and pharmaceutical industry will account for nearly $4 Billion in 2017 alone.  Led by a plethora of business opportunities for healthcare providers, insurers, payers, government agencies, pharmaceutical companies and other stakeholders, these investments are further expected to grow at a CAGR of more than 15% over the next three years.

The “Big Data in the Healthcare & Pharmaceutical Industry: 2017 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of Big Data in the healthcare and pharmaceutical industry including key market drivers, challenges, investment potential, application areas, use cases, future roadmap, value chain, case studies, vendor profiles and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services investments from 2017 through to 2030. The forecasts are segmented for 8 horizontal submarkets, 5 application areas, 36 use cases, 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
- Enabling technologies, standardization and regulatory initiatives
- Big Data analytics and implementation models
- Business case, application areas and use cases in the healthcare and pharmaceutical industry
- 34 case studies of Big Data investments by healthcare providers, insurers, payers, pharmaceutical companies and other stakeholders
- Future roadmap and value chain
- Company profiles and strategies of over 240 Big Data vendors
- Strategic recommendations for Big Data vendors, and healthcare and pharmaceutical industry stakeholders
- 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/big-data-in-the-healthcare-pharmaceutical-industry-2017-2030-opportunities-challenges-strategies-forecasts-report.html/toc

Horizontal Submarkets

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

Application Areas

- Pharmaceutical & Medical Products
- Core Healthcare Operations
- Healthcare Support, Awareness & Disease Prevention
- Health Insurance & Payer Services
- Marketing, Sales & Other Applications

Use Cases

- Drug Discovery, Design & Development
- Medical Product Design & Development
- Clinical Development & Trials
- Precision Medicine & Genomics
- Manufacturing & Supply Chain Management
- Post-Market Surveillance & Pharmacovigilance
- Medical Product Fault Monitoring
- Clinical Decision Support
- Care Coordination & Delivery Management
- CER (Comparative Effectiveness Research) & Observational Evidence
- Personalized Healthcare & Targeted Treatments
- Data-Driven Preventive Care & Health Interventions
- Surgical Practice & Complex Medical Procedures
- Pathology, Medical Imaging & Other Medical Tests
- Proactive & Remote Patient Monitoring
- Predictive Maintenance of Medical Equipment
- Pharmacy Services
- Self-Care & Lifestyle Support
- Medication Adherence & Management
- Vaccine Development & Promotion
- Population Health Management
- Connected Health Communities & Medical Knowledge Dissemination
- Epidemiology & Disease Surveillance
- Health Policy Decision Making
- Controlling Substance Abuse & Addiction
- Increasing Awareness & Accessible Healthcare
- Health Insurance Claims Processing & Management
- Fraud & Abuse Prevention
- Proactive Patient Engagement
- Accountable & Value-Based Care
- Data-Driven Health Insurance Premiums
- Marketing & Sales
- Administrative & Customer Services
- Finance & Risk Management
- Healthcare Data Monetization
- Other Use Cases

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 opportunity in the healthcare and pharmaceutical industry?
- How is the market 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 healthcare providers, insurers, payers, pharmaceutical companies and other stakeholders investing in Big Data?
- What opportunities exist for Big Data analytics in the healthcare and pharmaceutical industry?
- Which countries, application areas and use cases will see the highest percentage of Big Data investments in the healthcare and pharmaceutical industry?

Make an Enquiry of this report @ https://www.researchmoz.us/enquiry.php?type=E&repid=1293483

Key Findings

The report has the following key findings:

- In 2017, Big Data vendors will pocket nearly $4 Billion from hardware, software and professional services revenues in the healthcare and pharmaceutical industry. These investments are further expected to grow at a CAGR of more than 15% over the next three years, eventually accounting for over $5.8 Billion by the end of 2020.
- Through the use of Big Data technologies, hospitals and other healthcare facilities have been able to achieve cost reductions of more than 10%, improvements in outcomes by as much as 20% for certain conditions, growth in revenue by 30%, and increase in patient access to services by more than 35%.
- Big Data technologies are playing a pivotal role in accelerating the transition towards accountable and value-based care models, by enabling the continuous collection, consolidation and analysis of clinical and operational data from healthcare facilities and other available data sources.
- Addressing privacy and security concerns is necessary in order to fully leverage the benefits of Big Data in the healthcare and pharmaceutical industry. Therefore, it is essential for key stakeholders to make significant investments in data encryption and cybersecurity, in addition to adopting defensible de-identification techniques and implementing strict restrictions on data use.

List of Companies Mentioned

• 1010data
• Absolutdata
• Accenture
• ACR (American College of Radiology)
• Actian Corporation
• Adaptive Insights
• Advizor Solutions
• AeroSpike
• Aetna

Continue...

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.

Big Data in the Healthcare & Pharmaceutical Industry: 2017 - 2030 | Latest Research Report

Researchmoz added Most up-to-date research on "Big Data in the Healthcare & Pharmaceutical Industry: 2017 - 2030 - Opportunities, Challenges, Strategies & 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 and historical data from sources such as connected devices, web, social media, sensors, log files and transactional applications, Big Data is rapidly gaining traction from a diverse range of vertical sectors. The healthcare and pharmaceutical industry is no exception to this trend, where Big Data has found a host of applications ranging from drug discovery and precision medicine to clinical decision support and population health management.

SNS Research estimates that Big Data investments in the healthcare and pharmaceutical industry will account for nearly $4 Billion in 2017 alone.  Led by a plethora of business opportunities for healthcare providers, insurers, payers, government agencies, pharmaceutical companies and other stakeholders, these investments are further expected to grow at a CAGR of more than 15% over the next three years.

To Get Sample Copy of Report visit @ https://www.researchmoz.us/enquiry.php?type=S&repid=1293483

The “Big Data in the Healthcare & Pharmaceutical Industry: 2017 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of Big Data in the healthcare and pharmaceutical industry including key market drivers, challenges, investment potential, application areas, use cases, future roadmap, value chain, case studies, vendor profiles and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services investments from 2017 through to 2030. The forecasts are segmented for 8 horizontal submarkets, 5 application areas, 36 use cases, 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
- Enabling technologies, standardization and regulatory initiatives
- Big Data analytics and implementation models
- Business case, application areas and use cases in the healthcare and pharmaceutical industry
- 34 case studies of Big Data investments by healthcare providers, insurers, payers, pharmaceutical companies and other stakeholders
- Future roadmap and value chain
- Company profiles and strategies of over 240 Big Data vendors
- Strategic recommendations for Big Data vendors, and healthcare and pharmaceutical industry stakeholders
- 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

Application Areas

- Pharmaceutical & Medical Products
- Core Healthcare Operations
- Healthcare Support, Awareness & Disease Prevention
- Health Insurance & Payer Services
- Marketing, Sales & Other Applications

Use Cases

- Drug Discovery, Design & Development
- Medical Product Design & Development
- Clinical Development & Trials
- Precision Medicine & Genomics
- Manufacturing & Supply Chain Management
- Post-Market Surveillance & Pharmacovigilance
- Medical Product Fault Monitoring
- Clinical Decision Support
- Care Coordination & Delivery Management
- CER (Comparative Effectiveness Research) & Observational Evidence
- Personalized Healthcare & Targeted Treatments
- Data-Driven Preventive Care & Health Interventions
- Surgical Practice & Complex Medical Procedures
- Pathology, Medical Imaging & Other Medical Tests
- Proactive & Remote Patient Monitoring
- Predictive Maintenance of Medical Equipment
- Pharmacy Services
- Self-Care & Lifestyle Support
- Medication Adherence & Management
- Vaccine Development & Promotion
- Population Health Management
- Connected Health Communities & Medical Knowledge Dissemination
- Epidemiology & Disease Surveillance
- Health Policy Decision Making
- Controlling Substance Abuse & Addiction
- Increasing Awareness & Accessible Healthcare
- Health Insurance Claims Processing & Management
- Fraud & Abuse Prevention
- Proactive Patient Engagement
- Accountable & Value-Based Care
- Data-Driven Health Insurance Premiums
- Marketing & Sales
- Administrative & Customer Services
- Finance & Risk Management
- Healthcare Data Monetization
- Other Use Cases

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

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

Key Questions Answered

The report provides answers to the following key questions:
- How big is the Big Data opportunity in the healthcare and pharmaceutical industry?
- How is the market 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 healthcare providers, insurers, payers, pharmaceutical companies and other stakeholders investing in Big Data?
- What opportunities exist for Big Data analytics in the healthcare and pharmaceutical industry?
- Which countries, application areas and use cases will see the highest percentage of Big Data investments in the healthcare and pharmaceutical industry?

Key Findings

The report has the following key findings:
- In 2017, Big Data vendors will pocket nearly $4 Billion from hardware, software and professional services revenues in the healthcare and pharmaceutical industry. These investments are further expected to grow at a CAGR of more than 15% over the next three years, eventually accounting for over $5.8 Billion by the end of 2020.
- Through the use of Big Data technologies, hospitals and other healthcare facilities have been able to achieve cost reductions of more than 10%, improvements in outcomes by as much as 20% for certain conditions, growth in revenue by 30%, and increase in patient access to services by more than 35%.
- Big Data technologies are playing a pivotal role in accelerating the transition towards accountable and value-based care models, by enabling the continuous collection, consolidation and analysis of clinical and operational data from healthcare facilities and other available data sources.
- Addressing privacy and security concerns is necessary in order to fully leverage the benefits of Big Data in the healthcare and pharmaceutical industry. Therefore, it is essential for key stakeholders to make significant investments in data encryption and cybersecurity, in addition to adopting defensible de-identification techniques and implementing strict restrictions on data use.

Browse Detail Report @ https://www.researchmoz.us/big-data-in-the-healthcare-pharmaceutical-industry-2017-2030-opportunities-challenges-strategies-forecasts-report.html

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

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

Big Data Investments In The Healthcare And Pharmaceutical Industry Will Account For Nearly $4 Billion In 2017 Further Expected To Grow At A CAGR Of More Than 15% Over The Next Three Years

Researchmoz added Most up-to-date research on "Big Data in the Healthcare & Pharmaceutical Industry: 2017 - 2030 - Opportunities, Challenges, Strategies & 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=1293483

Amid the proliferation of real-time and historical data from sources such as connected devices, web, social media, sensors, log files and transactional applications, Big Data is rapidly gaining traction from a diverse range of vertical sectors. The healthcare and pharmaceutical industry is no exception to this trend, where Big Data has found a host of applications ranging from drug discovery and precision medicine to clinical decision support and population health management.

SNS Research estimates that Big Data investments in the healthcare and pharmaceutical industry will account for nearly $4 Billion in 2017 alone.  Led by a plethora of business opportunities for healthcare providers, insurers, payers, government agencies, pharmaceutical companies and other stakeholders, these investments are further expected to grow at a CAGR of more than 15% over the next three years.

The “Big Data in the Healthcare & Pharmaceutical Industry: 2017 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of Big Data in the healthcare and pharmaceutical industry including key market drivers, challenges, investment potential, application areas, use cases, future roadmap, value chain, case studies, vendor profiles and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services investments from 2017 through to 2030. The forecasts are segmented for 8 horizontal submarkets, 5 application areas, 36 use cases, 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
-  Enabling technologies, standardization and regulatory initiatives
-  Big Data analytics and implementation models
-  Business case, application areas and use cases in the healthcare and pharmaceutical industry
-  34 case studies of Big Data investments by healthcare providers, insurers, payers, pharmaceutical companies and other stakeholders
-  Future roadmap and value chain
-  Company profiles and strategies of over 240 Big Data vendors
-  Strategic recommendations for Big Data vendors, and healthcare and pharmaceutical industry stakeholders
-  Market analysis and forecasts from 2017 till 2030

Browse Detail Report With Full TOC @ http://www.researchmoz.us/big-data-in-the-healthcare-pharmaceutical-industry-2017-2030-opportunities-challenges-strategies-forecasts-report.html

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

Application Areas

-  Pharmaceutical & Medical Products
-  Core Healthcare Operations
-  Healthcare Support, Awareness & Disease Prevention
-  Health Insurance & Payer Services
-  Marketing, Sales & Other Applications

Use Cases

-  Drug Discovery, Design & Development
-  Medical Product Design & Development
-  Clinical Development & Trials
-  Precision Medicine & Genomics
-  Manufacturing & Supply Chain Management
-  Post-Market Surveillance & Pharmacovigilance
-  Medical Product Fault Monitoring
-  Clinical Decision Support
-  Care Coordination & Delivery Management
-  CER (Comparative Effectiveness Research) & Observational Evidence
-  Personalized Healthcare & Targeted Treatments
-  Data-Driven Preventive Care & Health Interventions
-  Surgical Practice & Complex Medical Procedures
-  Pathology, Medical Imaging & Other Medical Tests
-  Proactive & Remote Patient Monitoring
-  Predictive Maintenance of Medical Equipment
-  Pharmacy Services
-  Self-Care & Lifestyle Support
-  Medication Adherence & Management
-  Vaccine Development & Promotion
-  Population Health Management
-  Connected Health Communities & Medical Knowledge Dissemination
-  Epidemiology & Disease Surveillance
-  Health Policy Decision Making
-  Controlling Substance Abuse & Addiction
-  Increasing Awareness & Accessible Healthcare
-  Health Insurance Claims Processing & Management
-  Fraud & Abuse Prevention
-  Proactive Patient Engagement
-  Accountable & Value-Based Care
-  Data-Driven Health Insurance Premiums
-  Marketing & Sales
-  Administrative & Customer Services
-  Finance & Risk Management
-  Healthcare Data Monetization
-  Other Use Cases

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 opportunity in the healthcare and pharmaceutical industry?
-  How is the market 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 healthcare providers, insurers, payers, pharmaceutical companies and other stakeholders investing in Big Data?
-  What opportunities exist for Big Data analytics in the healthcare and pharmaceutical industry?
-  Which countries, application areas and use cases will see the highest percentage of Big Data investments in the healthcare and pharmaceutical industry?

Key Findings

The report has the following key findings:
-  In 2017, Big Data vendors will pocket nearly $4 Billion from hardware, software and professional services revenues in the healthcare and pharmaceutical industry. These investments are further expected to grow at a CAGR of more than 15% over the next three years, eventually accounting for over $5.8 Billion by the end of 2020.
-  Through the use of Big Data technologies, hospitals and other healthcare facilities have been able to achieve cost reductions of more than 10%, improvements in outcomes by as much as 20% for certain conditions, growth in revenue by 30%, and increase in patient access to services by more than 35%.
-  Big Data technologies are playing a pivotal role in accelerating the transition towards accountable and value-based care models, by enabling the continuous collection, consolidation and analysis of clinical and operational data from healthcare facilities and other available data sources.
-  Addressing privacy and security concerns is necessary in order to fully leverage the benefits of Big Data in the healthcare and pharmaceutical industry. Therefore, it is essential for key stakeholders to make significant investments in data encryption and cybersecurity, in addition to adopting defensible de-identification techniques and implementing strict restrictions on data use.

List of Companies Mentioned

- 1010data
- Absolutdata
- Accenture
- ACR (American College of Radiology)
- Actian Corporation
- Adaptive Insights
- Advizor Solutions
- AeroSpike
- Aetna
- AFS Technologies
- Alation
- Algorithmia
- Alluxio
- Alphabet
- Alpine Data
- Alteryx
- Ambient Clinical Analytics
- AMD (Advanced Micro Devices)
- Amino
- Apixio
- Arcadia Data
- Arimo
- ARM
- ASF (Apache Software Foundation)
- ASTM (American Society for Testing and Materials)
- AstraZeneca
- AtScale
- Attivio
- Attunity
- Australian Digital Health Agency
- Automated Insights
- AWS (Amazon Web Services)
- Axiomatics
- Ayasdi

Continued...

Make an Enquiry of this report @ http://www.researchmoz.us/enquiry.php?type=E&repid=1293483

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: INTRODUCTION1.1 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

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

New Survey Reveals Big Data in the Automotive Industry: 2017 - 2030 - Opportunities, Challenges, Strategies & Forecasts

Researchmoz added Most up-to-date research on "Big Data in the Automotive Industry: 2017 - 2030 - Opportunities, Challenges, Strategies & 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 and historical data from sources such as connected devices, web, social media, sensors, log files and transactional applications, Big Data is rapidly gaining traction from a diverse range of vertical sectors. The automotive industry is no exception to this trend, where Big Data has found a host of applications ranging from product design and manufacturing to predictive vehicle maintenance and autonomous driving.

To Get Sample Copy of Report visit @ http://www.researchmoz.us/enquiry.php?type=S&repid=1170819

SNS Research estimates that Big Data investments in the automotive industry will account for over $2.8 Billion in 2017 alone.  Led by a plethora of business opportunities for automotive OEMs, tier-1 suppliers, insurers, dealerships and other stakeholders, these investments are further expected to grow at a CAGR of approximately 12% over the next three years.

The “Big Data in the Automotive Industry: 2017 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of Big Data in the automotive industry including key market drivers, challenges, investment potential, application areas, use cases, future roadmap, value chain, case studies, vendor profiles and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services investments from 2017 through to 2030. The forecasts are segmented for 8 horizontal submarkets, 4 application areas, 18 use cases, 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
- Enabling technologies, standardization and regulatory initiatives
- Big Data analytics and implementation models
- Business case, key applications and use cases in the automotive industry
- 30 case studies of Big Data investments by automotive OEMs and other stakeholders
- Future roadmap and value chain
- Company profiles and strategies of over 240 Big Data vendors
- Strategic recommendations for Big Data vendors, automotive OEMs and other stakeholders
- Market analysis and forecasts from 2017 till 2030

Browse Detail Report With Full TOC @ http://www.researchmoz.us/big-data-in-the-automotive-industry-2017-2030-opportunities-challenges-strategies-forecasts-report.html

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

Application Areas

- Product Development, Manufacturing & Supply Chain
- After-Sales, Warranty & Dealer Management
- Connected Vehicles & Intelligent Transportation
- Marketing, Sales & Other Applications

Use Cases

- Supply Chain Management
- Manufacturing
- Product Design & Planning
- Predictive Maintenance & Real-Time Diagnostics
- Recall & Warranty Management
- Parts Inventory & Pricing Optimization
- Dealer Management & Customer Support Services
- UBI (Usage-Based Insurance)
- Autonomous & Semi-Autonomous Driving
- Intelligent Transportation
- Fleet Management
- Driver Safety & Vehicle Cyber Security
- In-Vehicle Experience, Navigation & Infotainment
- Ride Sourcing, Sharing & Rentals
- Marketing & Sales
- Customer Retention
- Third Party Monetization
- Other Use Cases

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 opportunity in the automotive industry?
- How is the market 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 automotive OEMs and other stakeholders investing in Big Data?
- What opportunities exist for Big Data analytics in the automotive industry?
- Which countries, application areas and use cases will see the highest percentage of Big Data investments in the automotive industry?

Key Findings

The report has the following key findings:
- In 2017, Big Data vendors will pocket over $2.8 Billion from hardware, software and professional services revenues in the automotive industry. These investments are further expected to grow at a CAGR of approximately 12% over the next three years, eventually accounting for over $4 Billion by the end of 2020.
- In a bid to improve customer retention, automotive OEMs are heavily relying on Big Data and analytics to integrate an array of data-driven aftermarket services such as predictive vehicle maintenance, real-time mapping and personalized concierge services.
- In recent years, several prominent partnerships and M&A deals have taken place that highlight the growing importance of Big Data in the automotive industry. For example, tier-1 supplier Delphi recently led an investment round to raise over $25 Million for Otonomo, a startup that has developed a data exchange and marketplace platform for vehicle-generated data.
- Addressing privacy concerns is necessary in order to monetize the swaths of Big Data that will be generated by a growing installed base of connected vehicles and other segments of the automotive industry.

List of Companies Mentioned

- 1010data
- Absolutdata
- Accenture
- ACEA (European Automobile Manufacturers’ Association)
- Actian Corporation
- Adaptive Insights
- Advizor Solutions
- AeroSpike
- AFS Technologies
- Alation
- Algorithmia
- Alibaba
- Alliance of Automobile Manufacturers
- Alluxio
- Alphabet
- Alpine Data
- Alteryx
- AMD (Advanced Micro Devices)
- Apixio
- Arcadia Data
- Arimo
- ARM
- ASF (Apache Software Foundation)
- AtScale
- Attivio
- Attunity
- Audi

Continued...

Make an Enquiry of this report @ http://www.researchmoz.us/enquiry.php?type=E&repid=1170819

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