SON (Self-Organizing Networks) Ecosystem Market 2016 – 2030: Opportunities, Challenges, Strategies & Forecast
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Latest Research Report The SON (Self-Organizing Networks) Ecosystem:
2016 - 2030 - Opportunities, Challenges, Strategies & Forecasts
provides information on pricing, market analysis, shares, forecast,
and company profiles for key industry participants. -
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About
SON (Self-Organizing Networks) Ecosystem Market
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 small cell 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.
In addition, 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.
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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).
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.
The report comes with an
associated Excel datasheet suite covering quantitative data from all
numeric forecasts presented in the report.
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
Future roadmap of the SON
ecosystem
Company profiles and strategies of
over 120 SON ecosystem players
OpEx and CapEx saving analysis of
SON
Wireless network infrastructure
spending, traffic projections and value chain
Convergence of SON with Big Data,
predictive analytics and DPI
Strategic recommendations for SON
solution providers, wireless infrastructure OEMs and mobile operators
Market analysis and forecasts from
2016 till 2030
Forecast Segmentation
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
Regional Markets
Asia Pacific
Eastern Europe
Latin & Central America
Middle East & Africa
North America
Western Europe
Country Markets
Australia
Brazil
Canada
China
France
Germany
India
Italy
Japan
Russia
South Korea
Spain
Taiwan
UK
USA
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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?
How can SON ease the deployment of
unlicensed LTE small cells?
What SON capabilities will 5G
networks entail?
What is the outlook for C-SON and
D-SON adoption?
How will SON investments compare
with those on traditional mobile network optimization?
What opportunities exist for SON
in mobile core and transport networks?
How will SON use cases evolve
overtime in 3GPP releases?
Which regions will see the highest
number of SON investments?
How much will mobile operators
invest in SON solutions?
What is the outlook for SON
associated OpEx savings by region?
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.
List of Companies Mentioned
3GPP (Third Generation Partnership
Project)
Accedian Networks
Accelleran
Accuver
Actix
Aexio
Aircom International
AirHop Communications
Airspan Networks
Alcatel-Lucent
Altiostar Networks
Alvarion Technologies
Amdocs
Anite
Arcadyan Technology Corporation
Argela
ARIB (Association of Radio
Industries and Businesses, Japan)
Aricent
Arieso
ARItel
Artemis Networks
Ascom
Astellia
ASUS (ASUSTeK Computer)
AT&T
AT&T Mobility
ATDI
ATIS (Alliance for
Telecommunications Industry Solutions)
Avvasi
Baicells
Belkin International
Benu Networks
BLiNQ Networks
Broadcom
Brocade Communications Systems
Bwtech
Bytemobile
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