Showing posts with label SON. Show all posts
Showing posts with label SON. Show all posts

Tuesday, 16 April 2019

SON (Self-Organizing Networks) in the 5G Era: 2019 - 2030 - Opportunities, Challenges, Strategies & Forecasts

Researchmoz added Most up-to-date research on "SON (Self-Organizing Networks) in the 5G Era: 2019 - 2030 - Opportunities, Challenges, Strategies & Forecasts" to its huge collection of research reports. An insight on the important factors and trends influencing the market.
SON (Self-Organizing Network) technology minimizes the lifecycle cost of running a mobile network by eliminating manual configuration of network elements at the time of deployment, right through to dynamic optimization and troubleshooting during operation. Besides improving network performance and customer experience, SON can significantly reduce the cost of mobile operator services, improving the OpEx-to-revenue ratio and deferring avoidable CapEx.
Get a Sample PDF at: https://www.researchmoz.us/enquiry.php?type=S&repid=1909257
To support their LTE and HetNet deployments, early adopters of SON have already witnessed a spate of benefits – in the form of accelerated rollout times, simplified network upgrades, fewer dropped calls, improved call setup success rates, higher end-user throughput, alleviation of congestion during special events, increased subscriber satisfaction and loyalty, and operational efficiencies – such as energy and cost savings, and freeing up radio engineers from repetitive manual tasks.
Although SON was originally developed as an operational approach to streamline cellular RAN (Radio Access Network) deployment and optimization, mobile operators and vendors are increasingly focusing on integrating new capabilities such as self-protection against digital security threats, and self-learning through artificial intelligence techniques, as well as extending the scope of SON beyond the RAN to include both mobile core and transport network segments – which will be critical to address 5G requirements such as end-to-end network slicing. In addition, dedicated SON solutions for Wi-Fi and other access technologies have also emerged, to simplify wireless networking in home and enterprise environments.
Largely driven by the increasing complexity of today's multi-RAN mobile networks – including network densification and spectrum heterogeneity, as well as 5G NR (New Radio) infrastructure rollouts, global investments in SON technology are expected to grow at a CAGR of approximately 11% between 2019 and 2022. By the end of 2022, SNS Telecom & IT estimates that SON will account for a market worth $5.5 Billion.
The “SON (Self-Organizing Networks) in the 5G Era: 2019 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of the SON and associated mobile network optimization ecosystem, including market drivers, challenges, enabling technologies, functional areas, use cases, key trends, standardization, regulatory landscape, mobile operator case studies, opportunities, future roadmap, value chain, ecosystem player profiles and strategies. The report also presents revenue forecasts for both SON and conventional mobile network optimization, along with individual projections for 10 SON submarkets, and 6 regions from 2019 till 2030.
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:
- SON ecosystem
- Market drivers and barriers
- Conventional mobile network planning & optimization
- Mobile network infrastructure spending, traffic projections and value chain
- SON technology, architecture & functional areas
- Review of over 30 SON use cases – ranging from automated neighbor relations and parameter optimization to self-protection and cognitive networks
- Case studies of 15 commercial SON deployments by mobile operators
- Complementary technologies including Big Data, advanced analytics, artificial intelligence and machine learning
- Key trends in next-generation LTE and 5G SON implementations including network slicing, dynamic spectrum management, edge computing, virtualization and zero-touch automation
- Regulatory landscape, collaborative initiatives and standardization
- SON future roadmap: 2019 – 2030
- Profiles and strategies of more than 160 leading ecosystem players including wireless network infrastructure OEMs, SON solution providers and mobile operators
- Strategic recommendations for SON solution providers and mobile operators
- Market analysis and forecasts from 2019 till 2030
Get Complete Report With TOC With Tables and Figures @ https://www.researchmoz.us/son-selforganizing-networks-in-the-5g-era-2019-2030-opportunities-challenges-strategies-forecasts-report.html
Forecast Segmentation
Market forecasts are provided for each of the following submarkets and their subcategories:
Mobile Network Optimization
- SON
- Conventional Mobile Network Planning & Optimization
SON Network Segment Submarkets
- RAN (Radio Access Network)
- Mobile Core
- Transport (Backhaul & Fronthaul)
SON Architecture Submarkets
- C-SON (Centralized SON)
- D-SON (Distributed SON)
- SON Access Network Technology Submarkets
- 2G & 3G
- LTE
- 5G
- Wi-Fi & Others
Regional Markets
- Asia Pacific
- Eastern Europe
- Latin & Central America
- Middle East & Africa
- North America
- Western Europe
Key Questions Answered
The report provides answers to the following key questions:
- How big is the SON opportunity?
- What trends, challenges and barriers are influencing its growth?
- How is the ecosystem evolving by segment and region?
- What will the market size be in 2022, and at what rate will it grow?
- Which regions and countries will see the highest percentage of growth?
- How do SON investments compare with spending on traditional mobile network optimization?
- What are the practical, quantifiable benefits of SON – based on live, commercial deployments?
- How can mobile operators capitalize on SON to ensure optimal network performance, improve customer experience, reduce costs, and drive revenue growth?
- What is the status of C-SON and D-SON adoption worldwide?
- What are the prospects of artificial intelligence in SON and mobile network automation?
- What opportunities exist for SON in mobile core and transport networks?
- How can SON ease the deployment of unlicensed and private LTE/5G-ready networks?
- What SON capabilities will 5G networks entail?
- How does SON impact mobile network optimization engineers?
- What is the global and regional outlook for SON associated OpEx savings?
- Who are the key ecosystem players, and what are their strategies?
- What strategies should SON solution providers and mobile operators adopt to remain competitive?
Make an Enquiry of this report @ https://www.researchmoz.us/enquiry.php?type=E&repid=1909257
Key Findings
The report has the following key findings:
- Largely driven by the increasing complexity of today's multi-RAN mobile networks – including network densification and spectrum heterogeneity, as well as 5G NR (New Radio) infrastructure rollouts, global investments in SON technology are expected to grow at a CAGR of approximately 11% between 2019 and 2022. By the end of 2022, SNS Telecom & IT estimates that SON will account for a market worth $5.5 Billion.
- Based on feedback from mobile operators worldwide, the growing adoption of SON technology has brought about a host of practical benefits for early adopters – ranging from more than a 50% decline in dropped calls and reduction in network congestion during special events by a staggering 80% to OpEx savings of more than 30% and an increase in service revenue by 5-10%.
- In addition, SON mechanisms are playing a pivotal role in accelerating the adoption of 5G networks – through the enablement of advanced capabilities such as network slicing, dynamic spectrum management, predictive resource allocation, and the automated of deployment of virtualized 5G network functions.
- To better address network performance challenges amidst increasing complexity, C-SON platforms are leveraging an array of complementary technologies – from artificial intelligence and machine learning algorithms to Big Data technologies and the use of alternative data such as information extracted from crowd-sourcing tools.
- In addition to infrastructure vendor and third-party offerings, mobile operator developed SON solutions are also beginning to emerge. For example, Elisa has developed a SON platform based on closed-loop automation and customizable algorithms for dynamic network optimization. Through a dedicated business unit, the Finnish operator offers its in-house SON implementation as a commercial product to other mobile operators.
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Monday, 30 January 2017

SON (Self-Organizing Networks) Ecosystem Industry Key Trends, Size, Growth, Shares And Forecast Research Report 2015 - 2030

Researchmoz added Most up-to-date research on "The SON (Self-Organizing Networks) Ecosystem: 2015 - 2030 - Opportunities, Challenges, Strategies & Forecasts" to its huge collection of research reports.

SON (Self-Organizing Network) technology minimizes the lifecycle cost of running a mobile network by eliminating manual configuration of equipment at the time of deployment, right through to dynamically optimizing performance and troubleshooting during operation. This can significantly reduce the cost of the operator’s services, improving the OpEx to revenue ratio.

Amid growing demands for mobile broadband connectivity, mobile operators are keen to capitalize on SON to minimize rollout delays and operational expenditures associated with their ongoing LTE and HetNet deployments.

Originally targeted for the RAN (Radio Access Network) segment of mobile networks, SON technology is now also utilized in the mobile core and transport network segments. Furthermore, the SON ecosystem is increasingly witnessing convergence with other technological innovations such as Big Data, predictive analytics and DPI (Deep Packet Inspection).

Despite challenges relating to implementation complexities and multi-vendor interoperability, SON revenue is expected to grow to more than $4 Billion by the end of 2017, exceeding conventional mobile network optimization revenue by nearly 60%.

To Get Sample Copy of Report visit @ http://www.researchmoz.us/enquiry.php?type=S&repid=317597

The “SON (Self-Organizing Networks) Ecosystem: 2015 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of the SON and associated mobile network optimization ecosystem including key market drivers, challenges, OpEx and CapEx savings potential, use cases, SON deployment case studies, future roadmap, value chain, vendor analysis and strategies. The report also presents revenue forecasts for both SON and conventional mobile network optimization, along with individual projections for 7 SON submarkets, 6 regions and 15 countries from 2015 through to 2030.

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:
Despite challenges relating to implementation complexities and multi-vendor interoperability, SON revenue is expected to grow to more than $4 Billion by the end of 2017, exceeding conventional mobile network optimization revenue by nearly 60%
SNS Research estimates that SON can enable wireless carriers to save nearly 40% of their electrical power consumption by dynamically by activating and deactivating RAN nodes in line with the changing traffic and user distribution profile
SNS Research estimates that a Tier 1 wireless carrier can save more than 30% of its overall OpEx by employing SON across the RAN, mobile core and mobile backhaul segments of the network
Wireless carriers have reported up to a 50% reduction in dropped calls and over 20% higher data rates with SON implementation
SON platforms are moving from reactive systems to more advanced implementations that incorporate predictive analytics technology to make necessary changes to a network before any degradation occurs
Infrastructure and software incumbents are aggressively eyeing on acquisitions of smaller established C-SON players to accelerate their early entry path into the C-SON market

Topics Covered:

- The report covers the following topics:
- Conventional mobile network planning & optimization
- SON technology and architecture
- Key benefits and market drivers of SON
- Challenges to SON adoption
- SON use cases
- SON deployment case studies
- Company profiles and strategies of over 70 SON ecosystem players
- OpEx and CapEx saving analysis of SON
- Wireless network infrastructure spending and traffic projections
- Wireless network infrastructure industry roadmap and value chain
- Future roadmap of the SON ecosystem
- Convergence of SON with Big Data and predictive analytics
- Strategic recommendations for SON solution providers, wireless infrastructure OEMs and wireless carriers
- Market analysis and forecasts from 2015 till 2030

Forecast Segmentation:

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

Mobile Network Optimization

- SON
- Conventional Mobile Network Planning & Optimization

SON Network Segment Submarkets

- RAN
- Mobile Core
- Mobile Backhaul & Transport

SON Architecture Submarkets
- C-SON (Centralized SON)
- D-SON (Distributed SON)

SON Wireless Network Generation Submarkets

- 2G & 3G
- 4G & Beyond

Regional Submarkets

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

Country Markets

- Australia
- Brazil
- Canada
- China
- France
- Germany
- India
- Italy
- Japan
- Russia
- South Korea
- Spain
- Taiwan
- UK

Key Questions Answered:

- The report provides answers to the following key questions:
- How big is the SON and mobile network optimization 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 SON vendors and what are their strategies?
- What is the outlook for QoE based SON solutions?
- What is the outlook for C-SON and D-SON adoption?
- What is the outlook for SON associated OpEx savings by region?
- How will SON investments compare with those on traditional mobile network optimization?
- What opportunities exist for SON in mobile core and mobile backhaul?
- How will SON use cases evolve overtime in 3GPP releases?
- Which regions will see the highest number of SON investments?
- How much will wireless carriers invest in SON solutions?

Make an Enquiry of this report @ http://www.researchmoz.us/enquiry.php?type=E&repid=317597

Wednesday, 16 November 2016

SON (Self-Organizing Networks) Ecosystem: 2016 - 2030 - Opportunities, Challenges, Strategies & Forecasts | Now Available at Researchmoz.us

Researchmoz added Most up-to-date research on "The SON (Self-Organizing Networks) Ecosystem: 2016 - 2030 - Opportunities, Challenges, Strategies & Forecasts" to its huge collection of research reports.
 
SON (Self-Organizing Network) technology minimizes the lifecycle cost of running a mobile network by eliminating manual configuration of equipment at the time of deployment, right through to dynamically optimizing performance and troubleshooting during operation. This can significantly reduce the cost of the operator’s services, improving the OpEx to revenue ratio.

Amid growing demands for mobile broadband connectivity, mobile operators are keen to capitalize on SON to minimize rollout delays and operational expenditures associated with their ongoing LTE and small cell deployments. 

Originally targeted for the RAN (Radio Access Network) segment of mobile networks, SON technology is now also utilized in the mobile core and transport network segments. In addition, Wi-Fi access point OEMs are beginning to integrate SON features such as plug-and-play deployment, autonomous performance optimization, self-healing and proactive defense against unauthorized access.  

To Get Sample Copy of Report visit @ http://www.researchmoz.us/enquiry.php?type=S&repid=835177

Despite challenges relating to implementation complexities and multi-vendor interoperability, SON revenue is expected to grow to more than $5 Billion by the end of 2020, exceeding conventional mobile network optimization revenue by a significant margin. Furthermore, the SON ecosystem is increasingly witnessing convergence with other technological innovations such as Big Data, predictive analytics and DPI (Deep Packet Inspection).

The “SON (Self-Organizing Networks) Ecosystem: 2016 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of the SON and associated mobile network optimization ecosystem including key market drivers, challenges, OpEx and CapEx savings potential, use cases, SON deployment case studies, future roadmap, value chain, vendor analysis and strategies. The report also presents revenue forecasts for both SON and conventional mobile network optimization, along with individual projections for 10 SON submarkets, 6 regions and 15 countries from 2016 through to 2030.

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:

- Conventional mobile network planning & optimization
- SON technology and architecture
- Key benefits and market drivers of SON
- Challenges to SON adoption
- SON use cases
- SON deployment case studies
- Future roadmap of the SON ecosystem
- Company profiles and strategies of over 120 SON ecosystem players
- OpEx and CapEx saving analysis of SON
- Wireless network infrastructure spending, traffic projections and value chain
- Convergence of SON with Big Data, predictive analytics and DPI
- Strategic recommendations for SON solution providers, wireless infrastructure OEMs and mobile operators
- Market analysis and forecasts from 2016 till 2030

Forecast Segmentation

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

Mobile Network Optimization

- SON
- Conventional Mobile Network Planning & Optimization

SON Network Segment Submarkets

- Macrocell RAN
- HetNet RAN
- Mobile Core
- Mobile Backhaul & Fronthaul

SON Architecture Submarkets

- C-SON (Centralized SON)
- D-SON (Distributed SON)

SON Access Network Technology Submarkets

- 2G & 3G
- LTE
- Wi-Fi
- 5G

Regional Markets

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

Country Markets

- Australia
- Brazil
- Canada
- China
- France
- Germany
- India
- Italy
- Japan
- Russia
- South Korea
- Spain
- Taiwan
- UK
- USA

The report provides answers to the following key questions:

- How big is the SON and mobile network optimization 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 SON vendors and what are their strategies?
- What is the outlook for QoE based SON solutions?
- How can SON ease the deployment of unlicensed LTE small cells?
- What SON capabilities will 5G networks entail?
- What is the outlook for C-SON and D-SON adoption?
- How will SON investments compare with those on traditional mobile network optimization?
- What opportunities exist for SON in mobile core and transport networks?
- How will SON use cases evolve overtime in 3GPP releases?
- Which regions will see the highest number of SON investments?
- How much will mobile operators invest in SON solutions?
- What is the outlook for SON associated OpEx savings by region?

The report has the following key findings:

- Despite challenges relating to implementation complexities and multi-vendor interoperability, SON revenue is expected to grow to more than $5 Billion by the end of 2020, exceeding conventional mobile network optimization revenue by a significant margin.
- Mobile operators have reported up to a 50% reduction in dropped calls and over 20% higher data rates with SON implementation. Besides common network optimization use cases, operators are also capitalizing on SON platforms to address critical business objectives such as refarming 2G/3G spectrum for LTE networks.
- In a bid to differentiate their products, Wi-Fi access point OEMs are beginning to integrate SON features such as plug-and-play deployment, autonomous performance optimization, self-healing and proactive defense against unauthorized access. 
- SON platforms are moving from reactive systems to more advanced implementations that incorporate predictive analytics technology to make necessary changes to a network before any degradation occurs.
- Infrastructure and software incumbents are continuing to acquire smaller established C-SON players to accelerate their entry path into the C-SON market.

Make an Enquiry of this report @ http://www.researchmoz.us/enquiry.php?type=E&repid=835177

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