SON (Self-Organizing Networks) in the 5G Era Market 2030

SON (Self-Organizing Networks) in the 5G Era Market

Largely driven by the increasing complexity of today’s multi-RAN mobile networks – including network densification and spectrum heterogeneity, as well as 5G NR (New Radio) infrastructure rollouts, global investments in SON technology are expected to grow at a CAGR of approximately 11% between 2019 and 2022. By the end of 2022, Planet Market Reports estimates that SON will account for a market worth $5.5 Billion.

The “SON (Self-Organizing Networks) in the 5G Era: 2019 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of the SON and associated mobile network optimization ecosystem, including market drivers, challenges, enabling technologies, functional areas, use cases, key trends, standardization, regulatory landscape, mobile operator case studies, opportunities, future roadmap, value chain, ecosystem player profiles and strategies. The report also presents revenue forecasts for both SON and conventional mobile network optimization, along with individual projections for 10 SON submarkets, and 6 regions from 2019 till 2030.

SON (Self-Organizing Network) technology minimizes the lifecycle cost of running a mobile network by eliminating manual configuration of network elements at the time of deployment, right through to dynamic optimization and troubleshooting during operation. Besides improving network performance and customer experience, SON can significantly reduce the cost of mobile operator services, improving the OpEx-to-revenue ratio and deferring avoidable CapEx.

To support their LTE and HetNet deployments, early adopters of SON have already witnessed a spate of benefits – in the form of accelerated rollout times, simplified network upgrades, fewer dropped calls, improved call setup success rates, higher end-user throughput, alleviation of congestion during special events, increased subscriber satisfaction and loyalty, and operational efficiencies – such as energy and cost savings, and freeing up radio engineers from repetitive manual tasks.

Although SON was originally developed as an operational approach to streamline cellular RAN (Radio Access Network) deployment and optimization, mobile operators and vendors are increasingly focusing on integrating new capabilities such as self-protection against digital security threats, and self-learning through artificial intelligence techniques, as well as extending the scope of SON beyond the RAN to include both mobile core and transport network segments – which will be critical to address 5G requirements such as end-to-end network slicing. In addition, dedicated SON solutions for Wi-Fi and other access technologies have also emerged, to simplify wireless networking in home and enterprise environments.

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

SON (SELF-ORGANIZING NETWORKS) IN THE 5G ERA MARKET KEY FINDINGS:

The report has the following key findings:

• Largely driven by the increasing complexity of today’s multi-RAN mobile networks – including network densification and spectrum heterogeneity, as well as 5G NR (New Radio) infrastructure rollouts, global investments in SON technology are expected to grow at a CAGR of approximately 11% between 2019 and 2022. By the end of 2022, Planet Market Reports estimates that SON will account for a market worth $5.5 Billion.
• Based on feedback from mobile operators worldwide, the growing adoption of SON technology has brought about a host of practical benefits for early adopters – ranging from more than a 50% decline in dropped calls and reduction in network congestion during special events by a staggering 80% to OpEx savings of more than 30% and an increase in service revenue by 5-10%.
• In addition, SON mechanisms are playing a pivotal role in accelerating the adoption of 5G networks – through the enablement of advanced capabilities such as network slicing, dynamic spectrum management, predictive resource allocation, and the automated of deployment of virtualized 5G network functions.
• To better address network performance challenges amidst increasing complexity, C-SON platforms are leveraging an array of complementary technologies – from artificial intelligence and machine learning algorithms to Big Data technologies and the use of alternative data such as information extracted from crowd-sourcing tools.
• In addition to infrastructure vendor and third-party offerings, mobile operator developed SON solutions are also beginning to emerge. For example, Elisa has developed a SON platform based on closed-loop automation and customizable algorithms for dynamic network optimization. Through a dedicated business unit, the Finnish operator offers its in-house SON implementation as a commercial product to other mobile operators.

Topics Covered:

The report covers the following topics:

SON ecosystem

SON (SELF-ORGANIZING NETWORKS) IN THE 5G ERA MARKET DRIVERS AND DARRIERS

• Conventional mobile network planning & optimization
• Mobile network infrastructure spending, traffic projections and value chain
• SON technology, architecture & functional areas
• Review of over 30 SON use cases – ranging from automated neighbor relations and parameter optimization to self-protection and cognitive networks
• Case studies of 15 commercial SON deployments by mobile operators
• Complementary technologies including Big Data, advanced analytics, artificial intelligence and machine learning
• Key trends in next-generation LTE and 5G SON implementations including network slicing, dynamic spectrum management, edge computing, virtualization and zero-touch automation
• Regulatory landscape, collaborative initiatives and standardization
• SON future roadmap: 2019 – 2030
• Profiles and strategies of more than 160 leading ecosystem players including wireless network infrastructure OEMs, SON solution providers and mobile operators
• Strategic recommendations for SON solution providers and mobile operators
• Market analysis and forecasts from 2019 till 2030

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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
  • RAN (Radio Access Network)
  • Mobile Core
  • Transport (Backhaul & Fronthaul)
• SON Architecture Submarkets
  • C-SON (Centralized SON)
  • D-SON (Distributed SON)
• SON Access Network Technology Submarkets
  • 2G & 3G
  • LTE
  • 5G
  • Wi-Fi & Others
• Regional Markets
  • 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 opportunity?
• What trends, challenges and barriers are influencing its growth?
• How is the ecosystem evolving by segment and region?
• What will the market size be in 2022, and at what rate will it grow?
• Which regions and countries will see the highest percentage of growth?
• How do SON investments compare with spending on traditional mobile network optimization?
• What are the practical, quantifiable benefits of SON – based on live, commercial deployments?
• How can mobile operators capitalize on SON to ensure optimal network performance, improve customer experience, reduce costs, and drive revenue growth?
• What is the status of C-SON and D-SON adoption worldwide?
• What are the prospects of artificial intelligence in SON and mobile network automation?
• What opportunities exist for SON in mobile core and transport networks?
• How can SON ease the deployment of unlicensed and private LTE/5G-ready networks?
• What SON capabilities will 5G networks entail?
• How does SON impact mobile network optimization engineers?
• What is the global and regional outlook for SON associated OpEx savings?
• Who are the key ecosystem players, and what are their strategies?
• What strategies should SON solution providers and mobile operators adopt to remain competitive?

List of Companies Mentioned:

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

• 3GPP (Third Generation Partnership Project)
• 5G PPP (5G Infrastructure Public Private Partnership)
• Accedian Networks
• Accelleran
• Accuver
• Actix
• AIRCOM International
• AirHop Communications
• Airspan Networks
• Allot Communications
• Alpha Networks
• Alphabet
• Altiostar Networks
• Altran
• Alvarion Technologies
• Amdocs
• Anritsu Corporation
• Arcadyan Technology Corporation
• Argela
• ARIB (Association of Radio Industries and Businesses, Japan)
• Aricent
• Arista Networks
• ARRIS International
• Artemis Networks
• Artiza Networks
• ASOCS
• Astellia
• ASUS (ASUSTeK Computer)
• AT&T
• ATDI
• ATIS (Alliance for Telecommunications Industry Solutions, United States)
• Baicells Technologies
• BCE (Bell Canada)
• Benu Networks
• Bharti Airtel
• BLiNQ Networks
• BoostEdge
• Broadcom
• CableLabs
• Casa Systems
• Cavium
• CBNL (Cambridge Broadband Networks Limited)
• CCI (Communication Components, Inc.)
• CCS (Cambridge Communication Systems)
• CCSA (China Communications Standards Association)
• Celcite
• CellOnyx
• Cellwize
• CelPlan Technologies
• Celtro
• Cisco Systems
• Citrix Systems
• Collision Communications
• Comarch
• CommAgility
• CommProve
• CommScope
• Commsquare
• Comsearch
• Contela
• Continual
• Coriant
• Corning
• Datang Mobile
• Dell Technologies
• Digi Communications
• Digitata
• D-Link Corporation
• ECE (European Communications Engineering)
• EDX Wireless
• Elisa
• Elisa Automate
• Empirix
• Equiendo
• Ercom
• Ericsson

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• ETRI (Electronics & Telecommunications Research Institute, South Korea)
• ETSI (European Telecommunications Standards Institute)
• EXFO
• Facebook
• Fairspectrum
• Federated Wireless
• Flash Networks
• Fon
• Fontech
• Forsk
• Fujian Sunnada Network Technology
• Fujitsu
• Galgus
• Gemtek Technology
• General Dynamics Mission Systems
• GenXComm
• Globe Telecom
• GoNet Systems
• Google
• Guavus
• GWT (Global Wireless Technologies)
• HCL Technologies
• Hitachi
• Hitachi Vantara
• Huawei
• iBwave Solutions
• InfoVista
• Innovile
• InnoWireless
• Intel Corporation
• InterDigital
• Intracom Telecom
• ip.access
• ITRI (Industrial Technology Research Institute, Taiwan)
• Ixia
• JRC (Japan Radio Company)
• Juni Global
• Juniper Networks
• KDDI Corporation
• Keima
• Key Bridge
• Keysight Technologies
• KKTCell (Kuzey Kıbrıs Turkcell)
• Kleos
• Koonsys Radiocommunications
• Kumu Networks
• Lemko Corporation
• life:) Belarus
• lifecell Ukraine
• Linksys
• Linux Foundation
• LS telcom
• Luminate Wireless
• LuxCarta
• Marvell Technology Group
• Mavenir Systems
• MegaFon
• Mimosa Networks
• MitraStar Technology Corporation
• Mojo Networks
• Mosaik
• Nash Technologies
• NEC Corporation
• NetQPro
• NetScout Systems
• Netsia
• New Postcom Equipment Company
• Nexus Telecom
• NGMN Alliance
• Node-H
• Nokia Networks
• Nomor Research
• NuRAN Wireless
• Nutaq Innovation
• NXP Semiconductors
• Oceus Networks
• Optus
• Orange
• P.I.Works
• Parallel Wireless
• Persistent Systems
• PHAZR
• Phluido
• Polystar
• Potevio
• PreClarity
• Qualcomm
• Quanta Computer
• Qucell
• RADCOM
• Radisys Corporation
• Ranplan Wireless Network Design
• RCS & RDS
• Rearden
• Red Hat
• RED Technologies
• Redline Communications
• Reliance Industries
• Rivada Networks
• Rohde & Schwarz
• Ruckus Wireless
• Saguna Networks
• Samji Electronics Company
• Samsung
• Schema
• SEDICOM
• SerComm Corporation
• Seven Networks
• Siklu Communication
• Singtel
• SIRADEL
• SITRONICS
• SK Telecom
• SK Telesys
• Small Cell Forum
• Spectrum Effect
• SpiderCloud Wireless
• Star Solutions
• SuperCom
• Systemics Group
• Tarana Wireless
• Tech Mahindra
• Tecore Networks
• TEKTELIC Communications
• Telefónica Group
• Telrad Networks
• TEOCO Corporation
• Teragence
• Thales
• TI (Texas Instruments)
• TIM (Telecom Italia Mobile)
• TIM Brasil
• TP-Link Technologies
• TSDSI (Telecommunications Standards Development Society, India)
• TTA (Telecommunications Technology Association, South Korea)
• TTC (Telecommunication Technology Committee, Japan)
• TTG International
• Tulinx
• Turkcell
• Vasona Networks
• Verizon Communications
• VHA (Vodafone Hutchison Australia)
• Viavi Solutions
• VMWare
• Vodafone Germany
• Vodafone Group
• Vodafone Ireland
• Vodafone Spain
• Vodafone UK
• WBA (Wireless Broadband Alliance)
• WebRadar
• Wireless DNA
• WNC (Wistron NeWeb Corporation)
• WPOTECH
• XCellAir
• Z-Com
• ZTE
• Zyxel Communications Corporation

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