ResearchMoz presents professional and in-depth study of "The SON (Self-Organizing Networks) Ecosystem: 2016 - 2030 - Opportunities, Challenges, Strategies & Forecasts".
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.
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.
Get PDF for more Professional and Technical insights @ http://www.researchmoz.us/enquiry.php?type=S&repid=835177
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
Make an Enquiry of this report @ http://www.researchmoz.us/enquiry.php?type=E&repid=835177
SON Architecture Submarkets
C-SON (Centralized SON)
D-SON (Distributed SON)
SON Access Network Technology Submarkets
2G & 3G
LTE
Wi-Fi
5G
For More Information Kindly Contact:
ResearchMoz
Mr. Nachiket Ghumare,
90 State Street, Albany NY, United States - 12207
Tel: +1-518-621-2074
USA-Canada Toll Free: 866-997-4948
Email: sales@researchmoz.us
Follow us on LinkedIn @ http://bit.ly/1TBmnVG
Follow me on Blogger at: http://mymarketresearchlifereports.blogspot.in/
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.
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.
Get PDF for more Professional and Technical insights @ http://www.researchmoz.us/enquiry.php?type=S&repid=835177
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
Make an Enquiry of this report @ http://www.researchmoz.us/enquiry.php?type=E&repid=835177
SON Architecture Submarkets
C-SON (Centralized SON)
D-SON (Distributed SON)
SON Access Network Technology Submarkets
2G & 3G
LTE
Wi-Fi
5G
For More Information Kindly Contact:
ResearchMoz
Mr. Nachiket Ghumare,
90 State Street, Albany NY, United States - 12207
Tel: +1-518-621-2074
USA-Canada Toll Free: 866-997-4948
Email: sales@researchmoz.us
Follow us on LinkedIn @ http://bit.ly/1TBmnVG
Follow me on Blogger at: http://mymarketresearchlifereports.blogspot.in/
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