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

1
Market Research Store
The Self-Organizing Networks (SON) Ecosystem
Market Size, Share, Global Trends, Analysis,
Research Report and Forecast, 2014-2020 www.mar
ketresearchstore.com
sales_at_marketresearchstore.com
2
The Self-Organizing Networks (SON) Ecosystem
2014 - 2020
Table of content
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 carriers 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. 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).
3
The Self-Organizing Networks (SON) Ecosystem
2014 - 2020
Table of content
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. Browse
Report with TOC _at_ http//www.marketresearchstore.c
om/report/the-selforganizing-networks-son-ecosyste
m-2014-2020-775reportTableOfContent

4
The Self-Organizing Networks (SON) Ecosystem
2014 - 2020
Table of content
The report comes with an associated Excel
datasheet suite covering quantitative data from
all numeric forecasts presented in the
report.Key FindingsThe report has the
following key findingsDespite 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 20Driven
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 2016SNS 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

5
The Self-Organizing Networks (SON) Ecosystem
2014 - 2020
Table of content
The report has the following key
findings Market 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 Infrast
ructure 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 Request Sample on
This Report _at_ http//www.marketresearchstore.com/r
eport/the-selforganizing-networks-son-ecosystem-20
14-2020-775requestSample

6
The Self-Organizing Networks (SON) Ecosystem
2014 - 2020
Table of content
Key Questions AnsweredThe report provides
answers to the following key questionsHow 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?
7
The Self-Organizing Networks (SON) Ecosystem
2014 - 2020
Table of content
Countires CoveredAfghanistanAlbaniaAlgeriaAnd
orraAngolaAnguillaAntigua BarbudaArgentinaA
rmeniaArubaAustraliaAustriaAzerbaijanBahamas

8
The Self-Organizing Networks (SON) Ecosystem
2014 - 2020
Table of content
Countires Covered BeninBermudaBhutanBoliviaBo
snia Herzegovina Browse Report with TOC _at_
http//www.marketresearchstore.com/report/the-self
organizing-networks-son-ecosystem-2014-2020-775re
portTableOfContent Request Sample on This Report
_at_ http//www.marketresearchstore.com/report/the-se
lforganizing-networks-son-ecosystem-2014-2020-775
requestSample
9
About Us
Market Research Store is a single destination for
all the industry, company and country reports. We
feature large repository of latest industry
reports, leading and niche company profiles, and
market statistics released by reputed private
publishers and public organizations.

Contact Us
Stay With Us
TELEPHONE [phone] E-MAIL sales_at_marketre
searchstore.com Web http//allglobalandchinarepor
ts.com/
Suite 8138, 3422 SW 15 Street, Deerfield Beach,
Florida 33442 United States