Emerging The SON (Self-Organizing Networks) Ecosystem: 2015 - 2030 - Opportunities, Challenges, Strategies & Forecasts

Market studies the current scenario as well as future market potential of "The SON (Self-Organizing Networks) Ecosystem: 2015 - 2030 - Opportunities, Challenges, Strategies & Forecasts"

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).

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.

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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 $4 Billion by the end of 2017, exceeding conventional mobile network optimization revenue by nearly 60%
SNS Research estimates that SON can enable wireless carriers to save nearly 40% 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 more than 30% 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 50% reduction in dropped calls and over 20% higher data rates with SON implementation
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 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 70 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 Big Data and predictive analytics
Strategic recommendations for SON solution providers, wireless infrastructure OEMs and wireless carriers
Market analysis and forecasts from 2015 till 2030

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Forecast Segmentation:

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

Mobile Network Optimization
SON
Conventional Mobile Network Planning & Optimization

SON Network Segment Submarkets
RAN
Mobile Core
Mobile Backhaul & Transport

SON Architecture Submarkets
C-SON (Centralized SON)
D-SON (Distributed SON)

SON Wireless Network Generation Submarkets
2G & 3G
4G & Beyond

Regional Submarkets
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

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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List of Companies Mentioned:

The following companies and organizations have been reviewed, discussed or mentioned in the report:

3GPP (Third Generation Partnership Project)
Accedian Networks
Accuver
Actix
Aepona
Aexio
AIRCOM International
AirHop Communications
Airspan Networks
Alcatel-Lucent
Amdocs
Anite
Arcadyan
Argela
Aricent
Arieso
ARItel
Ascom
Astellia
AT&T Mobility
ATDI
Avago Technologies
Avvasi
Beeline Kazakhstan
BLiNQ Networks
Broadcom Corporation
Bytemobile
Cavium
CBNL (Cambridge Broadband Networks Limited)
Celcite
CellMining
Cellwize
Celtro Communications
CENTRI
Cisco Systems
Citrix Systems
Comarch
CommAgility
Commsquare
Coriant
Datang Group
Datang Mobile
ECE (European Communications Engineering)
Eden Rock Communications
Ericsson
ETRI (Electronics and Telecommunications Research Institute)
Flash Networks
Forsk
Freescale Semiconductor
Fujitsu
Globe Telecom
Guavus
Hitachi
Huawei
InfoVista
Ingenia Telecom
Intel Corporation
InterDigital
Intucell Systems
ip.access
JDSU
KDDI
Lavastorm
Lemko Corporation
Mentum
MIMOon
Mobilicity
Mobixell
NEC Corporation
NetScout Systems
Newfield Wireless
NGNM (Next Generation Mobile Networks) Alliance
Nokia Networks
NXP Semiconductors
Optimi
Optulink
P.I.Works
Plano Engineering
Qualcomm
RADCOM
Radisys Corporation
Reverb Networks
Rogers Communications
Rohde & Schwarz
Rorotika
R-TRON
Samsung
Schema
SEDICOM
Siklu Communication
Singtel (Singapore Telecommunications)
SK Telecom
SpiderCloud Wireless
Symena
Tarana Wireless
Tektronix Communications
Telefónica
Tellabs
TEOCO
Teradata
Theta Networks
TI (Texas Instruments)
TIM Brasil
Trendium
TTG International
Tulinx
Ubiquisys
Vasona Networks
Viavi Solutions
WebRadar
Xceed Technologies
XCellAir
ZTE

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