Self-Organizing Networks (SON) Ecosystem: Future Prospects 2025 | Avvasi, Baicells, Belkin International

HTF Market Intelligence released a new research report of 186 pages on title 'The Self-Organizing Networks (SON) Ecosystem: 2019 - 2025' with detailed analysis, forecast and strategies. The study covers key regions that includes Asia Pacific, Eastern Europe, Latin & Central America, Middle East & Africa, North America, Western Europe and important players such as AirHop Communications, Airspan Networks, Alcatel-Lucent, Altiostar Networks Etc.

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Summary
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 carrier’s 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).

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 report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

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The Following 185 Companies are Covered in this report.
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, CableLabs, Casa Systems, Cavium, CBNL (Cambridge Broadband Networks Limited), CCS (Cambridge Communication Systems), CCSA (China Communications Standards Association), Celcite, CellMining, Cellwize, Celtro, CENTRI, Cisco Systems, Citrix Systems, Comarch, CommAgility, CommScope, Commsquare, Connectem, Contela, Coriant, CrowdX, Datang Mobile, Dell EMC, Dell Technologies, Digitata, D-Link Corporation, ECE (European Communications Engineering), Eden Rock Communications, Equiendo, Ercom, Ericsson, ETSI (European Telecommunications Standards Institute), EXFO, Flash Networks, Forsk, Freescale Semiconductor, Fujitsu, Gemtek Technology Company, General Dynamics Mission Systems, Globe Telecom, GoNet Systems, Guavus, GWT (Global Wireless Technologies), Hitachi, Huawei, InfoVista, Ingenia Telecom, Innovile, Intel Corporation, InterDigital, Intracom Telecom, IP Wireless, ip.access, Ipanema Technologies, JRC (Japan Radio Company), Juni Global, KDDI Corporation, Keysight Technologies, KKTCell (Kuzey Kıbrıs Turkcell), Kumu Networks, Lemko Corporation, Lifecell, Linksys, Luminate Wireless, Mentum, MIMOon, Mobixell, Mojo Networks, NEC Corporation, NetScout Systems, New Postcom Equipment Company, Newfield Wireless, NGNM (Next Generation Mobile Networks) Alliance, Nokia Networks, NuRAN Wireless, Nutaq, NXP Semiconductors, Oceus Networks, Opera Software, Optimi, Optulink, P.I.Works, Parallel Wireless, Phluido, Plano Engineering, Potevio (China Potevio Company), PureWave Networks, Qualcomm, Quanta Computer, Qucell, RADCOM, Radisys Corporation, Rearden, RED Technologies, Redline Communications, Reverb Networks, Rohde & Schwarz, Rorotika, Ruckus Wireless, Samji Electronics Company, Samsung Electronics, Schema, SEDICOM, SerComm Corporation, Seven Networks, Siklu Communication, Singtel Group, SK Group, SK Telecom, SK Telesys, Small Cell Forum, SpiderCloud Wireless, Star Solutions, SuperCom, Tarana Wireless, Tecore, TEKTELIC Communications, Tektronix Communications, Telecom Italia, Telefónica Group, Telrad Networks, Telum, TEOCO, TI (Texas Instruments), TIM (Telecom Italia Mobile), TIM Brasil, TP-Link Technologies, Trendium, TSDSI (Telecommunications Standards Development Society, India), TTA (Telecommunications Technology Association of Korea), TTC (Telecommunication Technology Committee, Japan), TTG International, Tulinx, Turkcell Group, Vasona Networks, Vector Srl, Viavi Solutions, Vodafone Group, Vodafone Hutchison Australia, WBA (Wireless Broadband Alliance), WebRadar, WNC (Wistron NeWeb Corporation), WPOTECH, Xceed Technologies, XCellAir, Z-Com (ZDC Wireless), ZTE, ZyXEL Communications Corporation

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 $3 Billion by the end of 2016, exceeding conventional mobile network optimization revenue by over 20%
- Driven 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 2016
- SNS 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
- SNS 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
- 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 60 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 other technologies (such as Big Data analytics)
- Strategic recommendations for SON solution providers, wireless infrastructure OEMs and wireless carriers
- Market analysis and forecasts from 2014 till 2020

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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 Submarkets
- Macrocell RAN
- HetNet/Small Cell RAN
- Mobile Core
- Mobile Backhaul

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

SON Wireless Network Generation Submarkets
- 2G/3G
- 4G

SON CapEx & OpEx Savings Submarkets
- RAN
- Mobile Core
- Mobile Backhaul

Regional Submarkets
- Asia Pacific
- Eastern Europe
- Latin & Central America
- Middle East & Africa
- North America
- Western Europe

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?

Table of Contents
1 Chapter 1: Introduction
1.1 Executive Summary
1.2 Topics Covered
1.3 Forecast Segmentation
1.4 Key Questions Answered
1.5 Key Findings
1.6 Methodology
1.7 Target Audience
1.8 Companies & Organizations Mentioned

2 Chapter 2: SON & Mobile Network Optimization Ecosystem
2.1 Conventional Mobile Network Optimization
2.2 The SON (Self-Organizing Network) Concept
2.3 Functional Areas of SON
2.4 Market Drivers for SON Adoption
2.5 Market Barriers for SON Adoption

3 Chapter 3: SON Technology, Use Cases & Implementation Architectures
....Continued

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Thanks for reading this article, you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.

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