(SON) Self-Organizing Networks Market Reach $4 Billion by 2017

11 Jan, 2016, 05:00 ET from RnRMarketResearch

PUNE, India, January 11, 2016 /PRNewswire/ --

The analysts of (SON) Self-Organizing Networks market report says 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.

Complete report on SON (Self-Organizing Networks) market spread across 180 pages, profiling 113 companies and supported with 57 data figures is now available at http://www.rnrmarketresearch.com/the-son-self-organizing-networks-ecosystem-2015-2030-opportunities-challenges-strategies-forecasts-market-report.html.

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) Self-Organizing Networks 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%.

List of Companies Mentioned in Self-Organizing Networks market report: 3GPP (Third Generation Partnership Project), Accedian Networks, Accuver, Actix, Aepona, Airspan Networks, Alcatel-Lucent, Amdocs, Beeline Kazakhstan, BLiNQ Networks, Broadcom Corporation, Bytemobile, Cavium, CBNL (Cambridge Broadband Networks Limited), Celcite, CellMining, 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, Ingenia Telecom, Intel Corporation, InterDigital, Intucell Systems, ip.access, JDSU, KDDI, Lavastorm, Lemko Corporation, Mentum, MIMOon, Mobilicity, Mobixell, NEC Corporation, NXP Semiconductors, Optimi, Optulink, P.I.Works, Plano Engineering, Qualcomm, RADCOM, Radisys Corporation, Reverb Networks, Rogers Communications, Rohde & Schwarz, Rorotika, R-TRON, Samsung Electronics, Vasona Networks, Viavi Solutions, WebRadar, Xceed Technologies, XCellAir and ZTE.

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 Self-Organizing Networks 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. Order a copy of The SON (Self-Organizing Networks) Ecosystem: 2015 - 2030 - Opportunities, Challenges, Strategies & Forecasts report at http://www.rnrmarketresearch.com/contacts/purchase?rname=406598.

Historical Revenue & Forecast Segmentation
Market forecasts and historical figures are provided for each of the following submarkets and their subcategories:

Mobile Network Optimization: SON and Conventional Mobile Network Planning & Optimization

SON Network Segment Submarkets: RAN, Mobile Core and Mobile Backhaul & Transport

Self-Organizing Networks Architecture Submarkets: C-SON (Centralized SON) and D-SON (Distributed SON)

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

Regional Markets 

Country Markets 

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%.
  • Research estimates that Self-Organizing Networks can enable mobile operators to save nearly 40% of their electrical power consumption by dynamically activating and deactivating RAN nodes in line with the changing traffic and user distribution profile
  • Research estimates that a Tier 1 mobile operator can save more than 30% of its overall OpEx by employing SON across the RAN, mobile core and transport segments of the network.
  • Mobile operators have reported up to a 50% reduction in dropped calls and over 20% higher data rates with SON implementation.
  • Self-Organizing Networks 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 acquisitions of smaller established C-SON players to accelerate their entry path into the C-SON market.

Explore more reports on Information Technology & Telecommunication Market at http://www.rnrmarketresearch.com/reports/information-technology-telecommunication.

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