Wednesday, 27 February 2019

SON (Self-Organizing Networks) in the 5G Era Market 2019 : Things to Know About Worldwide Industrial Growth to 2030

ResearchMoz presents professional and in-depth study of "SON (Self-Organizing Networks) in the 5G Era: 2019 - 2030 - Opportunities, Challenges, Strategies & Forecasts".

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.

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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.

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, SNS Telecom & IT 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.

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

Topics Covered

The report covers the following topics:

     SON ecosystem
     Market drivers and barriers
     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

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?

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, SNS Telecom & IT 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.

List of Companies Mentioned

    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

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