Self-Organizing Networks (SON) Ecosystem: 2014 - 2020

Self-Organizing Networks (SON) Ecosystem: 2014 - 2020

Self-Organizing Network (SON) technology minimizes the lifecycle cost of running a wireless carrier 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 carrier’s services, improving the OpEx to revenue ratio. 

Amid growing demands for mobile broadband connectivity, wireless carriers 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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Originally targeted for the Radio Access Network (RAN) segment of wireless carrier networks, SON technology is now also utilized in the mobile core and mobile backhaul segments. Furthermore, the SON ecosystem is increasingly witnessing convergence with other technological innovations such as Big Data analytics and Deep Packet Inspection (DPI). 

Despite challenges relating to implementation complexities and multi-vendor interoperability, SON revenue is expected to grow to more than $3 Billion by the end of 2016, exceeding conventional mobile network optimization revenue by over 20%. 

The “Self-Organizing Networks (SON) Ecosystem: 2014 – 2020” 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 8 SON submarkets from 2014 through to 2020. Historical figures are also presented for 2010, 2011, 2012 and 2013. 

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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 $3 Billion by the end of 2016, exceeding conventional mobile network optimization revenue by over 20%

Driven by large scale TD-LTE rollouts and ongoing SON deployments, the Asia Pacific region will account for nearly 40% of the global mobile network optimization market by 2016

SNS Research estimates that SON can enable wireless carriers to save up to 35% 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 as much as 32% 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 40% reduction in dropped calls and over 20% higher data rates with SON implementation

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 60 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 other technologies (such as Big Data analytics)

Strategic recommendations for SON solution providers, wireless infrastructure OEMs and wireless carriers

Market analysis and forecasts from 2014 till 2020

Forecast Segmentation: 

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

Mobile Network Optimization


Conventional Mobile Network Planning & Optimization

SON Submarkets

Macrocell RAN

HetNet/Small Cell RAN

Mobile Core

Mobile Backhaul

SON Architecture Submarkets

C-SON (Centralized SON)

D-SON (Distributed SON)

SON Wireless Network Generation Submarkets



SON CapEx & OpEx Savings Submarkets


Mobile Core

Mobile Backhaul

Regional Submarkets

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 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?"

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