Worldwide: With radio networks like those used for LTE and other cellular technologies becoming more complex, network planning needs to be made easier: planning, configuration, management, optimisation and healing all need to be automated to bring improvements.
As a result the concept of self-organising networks, SON is growing in interest and use. With the networks themselves being able to monitor performance, they can optimise themselves to be able to provide the optimum performance.
By using self-organising networks, SON technology, networks are able to organise and optimise their performance. Operators can then benefit from significant improvements in terms of both CAPEX, capital expenditure and later OPEX, operational expenditure.
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What’s SON (Self-Organizing Network)?
Self-organizing networks, SON, can be defined as a set of use cases that govern a network including the planning, set up and maintenance activities.
In this way the self-organising networks enable the network to set itself up and then manage the resources to enable the optimum performance to be achieved at all times.
Why SON (Self-Organizing Network) spending will increase?
SON 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.
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How much growth can we expect?
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).
What will market research report provide?
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.
What Segmentation is covered in report?
Geographical Segmentation :
Asia Pacific
Eastern Europe
Latin & Central America
Middle East & Africa
North America
Western Europe
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
What are key findings of report?
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.
What are companies profiled in report?
3GPP, Accedian Networks, Belkin International, CommScope, D-Link Corporation, Dell EMC, Ericsson, Fujitsu, Hitachi, Huawei, Linksys, and many more.
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