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Dallas–Fort Worth, TX Press Releases
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(Dallas.CityRegions.Com, September 22, 2017 ) 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 $4 Billion by the end of 2017, exceeding conventional mobile network optimization revenue by nearly 60%. The “SON (Self-Organizing Networks) Ecosystem: 2015 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of the SON and associated mobile network optimization ecosystem including key market drivers, challenges, OpEx and CapEx savings potential, use cases, SON deployment case studies, future roadmap, value chain, vendor analysis and strategies. The report also presents revenue forecasts for both SON and conventional mobile network optimization, along with individual projections for 7 SON submarkets, 6 regions and 15 countries from 2015 through to 2030. The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.
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List of Tables:
Figure 1: Functional Areas of SON with the Mobile Network Lifecycle 28 Figure 2: Annual Global Throughput of Mobile Network Data Traffic by Region: 2015 – 2030 (Exabytes) 30 Figure 3: Global Wireless Network Infrastructure Revenue Share by Submarket (%) 31 Figure 4: Global Mobile Network Data Traffic Distribution by Access Network Form Factor: 2015 – 2030 (%) 32 Figure 5: SON Associated OpEx & CapEx Savings by Network Segment 33 Figure 6: Potential Areas of SON Implementation 37 Figure 7: Mobile Backhaul & Transport Segmentation by Technology 39 Figure 8: C-SON (Centralized SON) in a Wireless Carrier Network 41 Figure 9: D-SON (Distributed SON) in a Wireless Carrier Network 42 Figure 10: H-SON (Hybrid SON) in a Wireless Carrier Network 43 Figure 11: NGNM SON Use Cases 53 Figure 12: SON Industry Roadmap: 2015 – 2030 66 Figure 13: The Wireless Network Infrastructure Value Chain 69 Figure 14: List of LTE Trials & Deployments 73 Figure 15: Global SON & Mobile Network Optimization Revenue: 2015 – 2030 ($ Million) 148 Figure 16: Global SON Revenue: 2015 – 2030 ($ Million) 149 Figure 17: Global SON Revenue by Network Segment: 2015 – 2030 ($ Million) 149 Figure 18: Global RAN SON Revenue: 2015 – 2030 ($ Million) 150 Figure 19: Global Mobile Core SON Revenue: 2015 – 2030 ($ Million) 150 Figure 20: Global Mobile Backhaul & Transport SON Revenue: 2015 – 2030 ($ Million) 151 Figure 21: Global SON Revenue by Architecture: 2015 – 2030 ($ Million) 151 Figure 22: Global C-SON Revenue: 2015 – 2030 ($ Million) 152 Figure 23: Global D-SON Revenue: 2015 – 2030 ($ Million) 152 Figure 24: Global SON Revenue by Wireless Network Generation: 2015 – 2030 ($ Million) 153 Figure 25: Global 2G & 3G SON Revenue: 2015 – 2030 ($ Million) 153 Figure 26: Global 4G & Beyond SON Revenue: 2015 – 2030 ($ Million) 154 Figure 27: SON Revenue by Region: 2015 – 2030 ($ Million) 154 Figure 28: Global Conventional Mobile Network Planning & Optimization Revenue: 2015 – 2030 ($ Million) 155 Figure 29: Conventional Mobile Network Planning & Optimization Revenue by Region: 2015 – 2030 ($ Million) 155 Figure 30: Asia Pacific SON Revenue: 2015 – 2030 ($ Million) 156 Figure 31: Asia Pacific Conventional Mobile Network Planning & Optimization Revenue: 2015 – 2030 ($ Million) 156 Figure 32: Eastern Europe SON Revenue: 2015 – 2030 ($ Million) 157 Figure 33: Eastern Europe Conventional Mobile Network Planning & Optimization Revenue: 2015 – 2030 ($ Million) 157 Figure 34: Latin & Central America SON Revenue: 2015 – 2030 ($ Million) 158 Figure 35: Latin & Central America Conventional Mobile Network Planning & Optimization Revenue: 2015 – 2030 ($ Million) 158 Figure 36: Middle East & Africa SON Revenue: 2015 – 2030 ($ Million) 159 Figure 37: Middle East & Africa Conventional Mobile Network Planning & Optimization Revenue: 2015 – 2030 ($ Million) 159 Figure 38: North America SON Revenue: 2015 – 2030 ($ Million) 160 Figure 39: North America Conventional Mobile Network Planning & Optimization Revenue: 2015 – 2030 ($ Million) 160
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Hector Costello
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Source: EmailWire.Com
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