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).
View
Full Report with TOC @ http://www.radiantinsights.com/research/the-son-self-organizing-networks-ecosystem-2015-2030-opportunities-challenges-strategies-and-forecasts
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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