查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
5G/Open RAN 時代的 SON（自組織網絡）：2022-2030 - 機遇、挑戰、戰略、預測
市場調查報告書
商品編碼
1168241

5G/Open RAN 時代的 SON（自組織網絡）：2022-2030 - 機遇、挑戰、戰略、預測

SON (Self-Organizing Networks) in the 5G & Open RAN Era: 2022 - 2030 - Opportunities, Challenges, Strategies & Forecasts
出版日期: | 出版商: SNS Telecom & IT | 英文 443 Pages; 60 Tables & Figures | 商品交期: 最快1-2個工作天內

價格

SON（自組織網絡）技術最大限度地降低了移動網絡生命週期成本，從部署期間手動配置網絡元素到運營期間的動態優化和故障排除。 除了改善網絡性能和客戶體驗外，SON 還可以顯著降低移動運營商的服務成本，提高運營成本與收入的比率，並推遲可避免的資本支出。

SON 的早期採用者體驗到更快的 5G NR 和 LTE RAN（無線電接入網絡）推出時間、更容易的網絡升級、更少的掉線、更高的呼叫建立成功率以及改善的最終用戶體驗。我們已經看到了許多好處，例如隨著吞吐量的增加、特殊事件期間擁堵的減少、用戶滿意度和忠誠度的提高、運營效率（例如能源和成本的節省）以及無線電工程師從重複性手工工作中解脫出來。

SON 最初是作為一種操作方法開發的，用於簡化和自動化蜂窩 RAN 的部署和優化。進一步增強自學習等新功能的集成，並將 SON 的範圍從 RAN 擴展到移動核心和傳輸網段，對於解決端到端網絡切片等 5G 需求至關重要。它配備了一個功能，成為

另外，移動通信行業正在向開放接口、虛擬化、軟件驅動組網方向發展，SON生態系統正在取代傳統的D-SON（分佈式SON）和C-SON（集中式SON）。我們正逐步從一種方法轉向基於開放標準的組件，這些組件支持 RAN 的可編程性以實現高級自動化和智能控制。

創新的 Open RAN 和 vRAN（虛擬化 RAN）架構的普及導致基於開放標準的 RIC（RAN 智能控制器）被引入傳統的利基和專有產品驅動的 SON 市場。、xApp 和 rApp再次進入。 這些產品能夠支持近實時 D-SON 和非實時 C-SON，以滿足 RAN 自動化和優化需求。

我們估計，到 2023 年，全球在 RIC 平台、xApps 和 rApps 上的支出將達到 1.2 億美元，隨著首次實施從現場測試轉向生產級部署，這一支出還會增長。 隨著商業的進一步成熟，到 2025 年底，該市場預計將增長五倍，達到約 6 億美元。 廣泛的SON市場（嵌入式D-SON功能、第三方C-SON功能及相關OSS平台的授權、移動運營商自研SON功能、RAN、跨移動核心和承載領域的SON相關專業服務等）預計每年的投資將以 7% 左右的複合年增長率同期增長。

本報告分析了全球 SON（自組織網絡）市場的最新趨勢和未來前景，提供了 SON、體系結構生態系統、當前/未來主要用例和主要市場的技術概述。驅動和信息等信息將收集制約因素、主要用例、未來技術發展方向、主要公司概況和戰略、整體市場規模和增長率（2022-2030），為行業利益相關者提供建議。

內容

第一章介紹

第2章SON和移動網絡優化生態系統

  • 常規移動網絡優化
    • 網絡規劃
    • 測量數據收集：路測、探測、最終用戶數據
    • 後處理、優化和政策執行
  • SON（自組織網絡）的概念
    • 什麼是兒子？
    • 需要兒子
  • SON 功能區
    • 自我配置
    • 自我優化
    • 自我修復
    • 自衛
    • 自學
  • SON 價值鏈
    • SON，xApp/rApp，自動化專家
    • OSS &RIC 平台提供商
    • RAN/核心/傳輸網絡設備供應商
    • 無線服務提供商
    • 最終用戶
    • 其他生態系統參與者
  • 市場驅動力
    • 5G/Open RAN 時代：基礎設施持續投資
    • 在復雜的多 RAN 環境中進行優化
    • 減少運營和資本支出：節省成本的潛力
    • 改善訂閱者體驗並減少流失
    • 節能：邁向更環保的移動網絡
    • 通過交通管理緩解擁堵
    • 實現小型基站的即插即用部署
    • 私有 4G/5G 網絡的擴散和滲透
  • 市場壁壘
    • 實施複雜性
    • 重組和更改標準工程程序
    • 對自動化缺乏信任
    • 獨特的SON算法
    • 分佈式和集中式 SON 之間的協調
    • 網絡安全問題：新接口和缺乏監控

第3章SON技術、實現架構和用□□例

  • SON 在移動網絡中的什麼位置？
    • RAN
    • 移動核心
    • 傳輸（前傳、中傳、回傳）
    • 設備輔助 SON
  • 傳統 SON 架構
    • D-SON（分佈式兒子）
    • C-SON（集中式 SON）
    • H-SON（混合 SON）
  • 基於開放標準的 RIC、xApps 和 rApps
    • RIC（RAN 智能控制器）
    • xApps：打開 D-SON 應用程序
    • rApps：打開 C-SON 應用程序
  • SON 用例
    • 以 RAN 為中心的用例
    • 與多域核心傳輸相關的用例

第4章下一代SON實現的主要趨勢

  • Open RAN/vRAN（虛擬化 RAN）架構
    • 使用 RIC、xApps 和 rApps 實現 RAN 自動化和智能化
  • 小型基站、HetNet 和 RAN 的高密度
    • 即插即用小型基站
    • 為SON調整UDN（超高密度網絡）
  • 共享/免許可頻段
    • 使用 SON 動態管理頻帶
  • MEC（多路訪問邊緣計算）
    • 與 SON 協同的可能性
  • 網絡切片
    • 5G 網絡中網絡切片的 SON 機制
  • 大數據和高級分析
    • 利用大數據最大限度地發揮 SON 的優勢
    • 預測和行為分析的重要性
  • AI（人工智能）和 ML（機器學習）
    • 開發自學習 SON 引擎
    • 深度學習：零接觸移動網絡的實現
  • NFV（網絡功能虛擬化）
    • 啟用 SON 驅動的 VNF/CNF 部署
  • SDN（軟件定義網絡）和可編程性
    • 在傳輸網絡中使用 SDN 控制器作為 SON 平台
  • 雲計算
    • 提升C-SON的可擴展性和彈性
  • 其他趨勢和互補技術
    • 專用 4G/5G 網絡
    • FWA（固定無線接入）
    • DPI（深度數據包檢測）
    • 用於自衛的數字安全
    • 用於物聯網應用的 SON 功能
    • 針對工業 5G 應用的基於用戶的分析和優化
    • D2D（設備到設備）通信和對新用例的支持

第 5 章標準化、監管和聯合倡議

  • 3GPP（第三代合作夥伴計劃）
    • SON功能的3GPP標準化
    • LTE SON 的特點
    • 5G NR SON 的特點
    • 3GPP 規範的 SON 特性的實現方法
  • O-RAN 聯盟
    • Open RAN RIC 架構規範
    • xApp 和 rApp 的用例
  • OSA（開放式空中接口軟件聯盟）
    • M5G (MOSAIC5G) 項目：靈活的 RAN/核心控制器
  • TIP（電信基礎設施項目）
    • RIA（RAN 智能與自動化）項目
  • ONF（開放網絡基金會）
    • SD-RAN 項目：近實時 RIC 和 Exemplar xApps
  • Linux 基金會的 ONAP（開放網絡自動化平台）
    • OOF（ONAP 優化框架）- 用於 5G 網絡的 SON
    • Open RAN RIC 集成接口支持
  • SCF（小型蜂窩論壇）
    • 4G/5G 小型基站 SON 和編排
  • OSSii（運營支持系統互操作性計劃）
    • 啟用多供應商 SON 互操作性
  • NGMN 聯盟
    • SON 計劃的概念
    • 多供應商 SON 部署建議
    • 用於部署、運營和管理 5G 網絡的 SON 功能
  • 其他

第 6 章 SON 部署：案例研究

  • AT&T
    • 供應商選擇
    • SON 實施審查
    • 結果和未來計劃
  • Bell Canada
  • Bharti Airtel
  • BT Group
  • China Mobile
  • Elisa
  • Globe Telecom
  • KDDI Corporation
  • MegaFon
  • NTT DoCoMo
  • Ooredoo
  • Orange
  • Singtel
  • SK Telecom
  • Telecom Argentina
  • Telefónica Group
  • TIM (Telecom Italia Mobile)
  • Turkcell
  • Verizon Communications
  • Vodafone Group
  • 其他最近的發展和正在進行的項目
    • beCloud(Belarusian Cloud Technologies)：支持 AI 的網絡自動化和性能管理
    • Beeline Russia：利用 C-SON 技術改變移動體驗
    • Betacom：通過 RAN 自動化加速企業私有 5G 的採用
    • BTC (Botswana Telecommunications Corporation)：用於國家網絡優化的 SON
    • Celona：面向企業的自組織 5G LAN 解決方案
    • América Móvil：通過基於 SON 的自動化加速 5G 部署
    • DISH Network Corporation：基於 RIC 的自定義 RAN 的可編程性和智能
    • DT (Deutsche Telekom)：在柏林進行 SD-RAN 4G/5G 室外現場試驗
    • KPN：SON 驅動的網絡優化自動化
    • Kyivstar：利用 C-SON 提升網絡性能
    • Liberty Global：建立客戶至上的網絡
    • LTT (Libya Telecom &Technology)：全國 RAN 自動化
    • NEC Corporation：自學本地 5G 網絡
    • Opticoms：優化符合 Open RAN 標準的私有 5G 網絡
    • Rakuten Mobile：用於 RAN 自動化應用的嵌入式 RIC
    • Smart Communications (PLDT)：實現多供應商 4G/5G 網絡自動化
    • Smartfren：C-SON 技術促進網絡緻密化和 HetNet 管理
    • STC (Saudi Telecom Company)：自動化網絡運營並推動 5G 轉型
    • Telkomsel：SON 的自動網絡優化
    • Telstra：加速移動網絡自動化
    • Zain Group：SON 帶來更好的性能

第 7 章生態系統中的主要參與者

  • Aarna Networks
  • Abside Networks
  • Accedian
  • Accelleran
  • Accuver (InnoWireless)
  • Actiontec Electronics
  • AI-LINK
  • AirHop Communications
  • Airspan Networks
  • AiVader
  • Aliniant
  • Allot
  • Alpha Networks
  • Altiostar (Rakuten Symphony)
  • Amazon/AWS (Amazon Web Services)
  • Amdocs
  • Anktion (Fujian) Technology
  • Anritsu
  • Arcadyan Technology Corporation (Compal Electronics)
  • Argela
  • Aria Networks
  • ArrayComm (Chengdu ArrayComm Wireless Technologies)
  • Artemis Networks
  • Artiza Networks
  • Arukona
  • Askey Computer Corporation (ASUS - ASUSTeK Computer)
  • ASOCS
  • Aspire Technology (NEC Corporation)
  • ASTRI (Hong Kong Applied Science and Technology Research Institute)
  • ATDI
  • Atesio
  • Atrinet
  • Aurora Insight
  • Aviat Networks
  • Azcom Technology
  • Baicells
  • BandwidthX
  • BLiNQ Networks (CCI - Communication Components Inc.)
  • Blu Wireless
  • Blue Danube Systems (NEC Corporation)
  • BTI Wireless
  • B-Yond
  • CableFree (Wireless Excellence)
  • Cambium Networks
  • Capgemini Engineering
  • Casa Systems
  • CBNG (Cambridge Broadband Networks Group)
  • CCS - Cambridge Communication Systems (ADTRAN)
  • Celfinet (Cyient)
  • CellOnyx
  • Cellwize (Qualcomm)
  • CelPlan Technologies
  • CGI
  • Chengdu NTS
  • CICT - China Information and Communication Technology Group (China Xinke Group)
  • Ciena Corporation
  • CIG (Cambridge Industries Group)
  • Cisco Systems
  • Cohere Technologies
  • Comarch
  • Comba Telecom
  • CommAgility (Wireless Telecom Group)
  • CommScope
  • COMSovereign
  • Contela
  • Continual
  • Corning
  • Creanord
  • DeepSig
  • Dell Technologies
  • DGS (Digital Global Systems)
  • Digitata
  • D-Link Corporation
  • DZS
  • ECE (European Communications Engineering)
  • EDX Wireless
  • eino
  • Elisa Polystar
  • Equiendo
  • Ericsson
  • Errigal
  • ETRI (Electronics & Telecommunications Research Institute, South Korea)
  • EXFO
  • Fairspectrum
  • Federated Wireless
  • Flash Networks
  • Forsk
  • Foxconn (Hon Hai Technology Group)
  • Fraunhofer HHI (Heinrich Hertz Institute)
  • Fujitsu
  • Gemtek Technology
  • GENEViSiO (QNAP Systems)
  • GenXComm
  • Gigamon
  • GigaTera Communications (KMW)
  • Google (Alphabet)
  • Groundhog Technologies
  • Guavus (Thales)
  • HCL Technologies
  • Helios (Fujian Helios Technologies)
  • HFR Networks
  • Highstreet Technologies
  • Hitachi
  • HPE (Hewlett Packard Enterprise)
  • HSC (Hughes Systique Corporation)
  • Huawei
  • iBwave Solutions
  • iConNext
  • Infinera
  • Infosys
  • InfoVista
  • Inmanta
  • Innovile
  • InnoWireless
  • Intel Corporation
  • InterDigital
  • Intracom Telecom
  • Inventec Corporation
  • ISCO International
  • IS-Wireless
  • ITRI (Industrial Technology Research Institute, Taiwan)
  • JMA Wireless
  • JRC (Japan Radio Company)
  • Juniper Networks
  • Key Bridge Wireless
  • Keysight Technologies
  • Kleos
  • KMW
  • Kumu Networks
  • Lemko Corporation
  • Lenovo
  • Lextrum (COMSovereign)
  • Lime Microsystems
  • LIONS Technology
  • LITE-ON Technology Corporation
  • LS telcom
  • LuxCarta
  • MantisNet
  • Marvell Technology
  • Mavenir
  • Meta Connectivity
  • MicroNova
  • Microsoft Corporation
  • MikroTik
  • MitraStar Technology (Unizyx Holding Corporation)
  • MYCOM OSI (Amdocs)
  • Nash Technologies
  • NEC Corporation
  • Net AI
  • Netcracker Technology (NEC Corporation)
  • NETSCOUT Systems
  • Netsia (Argela)
  • New H3C Technologies (Tsinghua Unigroup)
  • New Postcom Equipment
  • Nextivity

Synopsis

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.

Early adopters of SON have already witnessed a multitude of benefits in the form of accelerated 5G NR and LTE RAN (Radio Access Network) 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, 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 and automate cellular RAN 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 AI (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, with the cellular industry's ongoing shift towards open interfaces, virtualization and software-driven networking, the SON ecosystem is progressively transitioning from the traditional D-SON (Distributed SON) and C-SON (Centralized SON) approach to open standards-based components supporting RAN programmability for advanced automation and intelligent control.

The surging popularity of innovative Open RAN and vRAN (Virtualized RAN) architectures has reignited the traditionally niche and proprietary product-driven SON market with a host of open standards-compliant RIC (RAN Intelligent Controller), xApp and rApp offerings, which are capable of supporting both near real-time D-SON and non real-time C-SON capabilities for RAN automation and optimization needs.

SNS Telecom & IT estimates that global spending on RIC platforms, xApps and rApps will reach $120 Million in 2023 as initial implementations move from field trials to production-grade deployments. With commercial maturity, the submarket is further expected to quintuple to nearly $600 Million by the end of 2025. Annual investments in the wider SON market - which includes licensing of embedded D-SON features, third party C-SON functions and associated OSS platforms, in-house SON capabilities internally developed by mobile operators, and SON-related professional services across the RAN, mobile core and transport domains - are expected to grow at a CAGR of approximately 7% during the same period.

The "SON (Self-Organizing Networks) in the 5G & Open RAN Era: 2022 - 2030 - Opportunities, Challenges, Strategies & Forecasts" report presents a detailed assessment of the SON market, including the value chain, market drivers, barriers to uptake, enabling technologies, functional areas, use cases, key trends, future roadmap, standardization, case studies, ecosystem player profiles and strategies. The report also provides global and regional market size forecasts for both SON and conventional mobile network optimization from 2022 till 2030, including submarket projections for three network segments, six SON architecture categories, four access technologies and five regional submarkets.

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:

  • The surging popularity of innovative Open RAN and vRAN (Virtualized RAN) architectures has reignited the traditionally niche and proprietary product-driven SON market with a host of open standards-compliant RIC (RAN Intelligent Controller), xApp and rApp offerings, which are capable of supporting both near real-time D-SON and non real-time C-SON capabilities for RAN automation and optimization needs.
  • SNS Telecom & IT estimates that global spending on RIC platforms, xApps and rApps will reach $120 Million in 2023 as initial implementations move from field trials to production-grade deployments. With commercial maturity, the submarket is further expected to quintuple to nearly $600 Million by the end of 2025.
  • Annual investments in the wider SON market - which includes licensing of embedded D-SON features, third party C-SON functions and associated OSS platforms, in-house SON capabilities internally developed by mobile operators, and SON-related professional services across the RAN, mobile core and transport domains - are expected to grow at a CAGR of approximately 7% during the same period.
  • The third party SON vendor ecosystem is exhibiting signs of consolidation, with several prominent M&A deals such as Qualcomm's recent acquisition of C-SON specialist Cellwize - in a bid to strengthen its 5G RAN infrastructure offerings, Elisa Automate's merger with Polystar to form Elisa Polystar, and HCL's acquisition of Cisco's SON technology business.
  • However, on the other hand, newer suppliers are also beginning to emerge - extending from VMware, Juniper Networks and other RIC platform providers to x/rApp specialists such as Cohere Technologies, DeepSig, Groundhog Technologies, Subex, B-Yond, Net AI and RIMEDO Labs.
  • SON capabilities are playing a pivotal role in the ongoing proliferation of private 4G/5G networks, as evident from a growing number of cross-sector partnerships. For example, private wireless service provider Betacom is collaborating with Qualcomm to accelerate enterprise adoption of private 5G networks by combining the former's 5GaaS (5G-as-a-Service) offering with the latter's enablement ecosystem, including the Cellwize RAN automation and management platform. Similarly, Germany-based systems integrator Opticoms has entered into a partnership with SON specialist Innovile to automate and optimize Open RAN standards-compliant private 5G networks.
  • Over the last two years, with the steep rise of mobile data consumption in residential areas during the COVID-19 pandemic-imposed lockdowns, mobile operators - despite coping relatively well - have recognized the importance of a more dynamic and automated approach to the optimization of network assets in order to provide a consistent and seamless user experience.
  • The 2020-2022 period saw large-scale C-SON deployments by several operators, including but not limited to Verizon, EE (BT Group), Orange, Telefónica, Turkcell, beCloud (Belarusian Cloud Technologies), VEON, Ooredoo, Zain, BTC (Botswana Telecommunications Corporation), LTT (Libya Telecom & Technology), Telstra, Singtel, Telkomsel, Globe Telecom, Smart Communications (PLDT), and Telecom Argentina.

Topics Covered

The report covers the following topics:

  • Introduction to SON
  • Value chain and ecosystem structure
  • Market drivers and challenges
  • SON technology, architecture and functional areas
  • D-SON (Distributed SON), C-SON (Centralized SON), H-SON (Hybrid SON), RIC (RAN Intelligent Controller), xApps and rApps
  • Review of over 40 SON use cases across the RAN, core and transport domains, ranging from ANR (Automatic Neighbor Relations) and rapid equipment configuration to advanced traffic steering, QoE-based optimization and automated anomaly detection
  • Key trends in next-generation 5G SON implementations, including Open RAN and vRAN (Virtualized RAN) architectures, dynamic spectrum management, network slicing, edge computing, Big Data, advanced analytics, AI (Artificial Intelligence)/ML (Machine Learning) and zero-touch automation
  • Case studies of 20 commercial-scale SON deployments and examination of ongoing projects covering both traditional D-SON/C-SON and RIC-x/rApp approaches
  • Future roadmap for the SON market
  • Standardization, regulatory and collaborative initiatives
  • Profiles and strategies of more than 230 ecosystem players
  • Strategic recommendations for SON solution providers and mobile operators
  • Market analysis and forecasts from 2022 till 2030

Forecast Segmentation

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

SON & Mobile Network Optimization

  • SON
  • Conventional Mobile Network Planning & Optimization

SON Network Segment Submarkets

  • RAN (Radio Access Network)
  • Mobile Core
  • Transport (Fronthaul, Midhaul & Backhaul)

RAN Segment SON Architecture Submarkets

  • Traditional D-SON & C-SON
    • Embedded D-SON (Distributed SON) Features
    • Third Party C-SON (Centralized SON) & OSS Platforms
  • Open RAN RIC, xApps & rApps
    • RIC (RAN Intelligent Controller) Platforms
    • Near Real-Time xApps
    • Non Real-Time rApps
    • Mobile Operators' In-House SON Tools & Systems

SON Access Network Technology Submarkets

  • 2G & 3G
  • LTE
  • 5G
  • Wi-Fi & Others

Regional Markets

  • North America
  • Asia Pacific
  • Europe
  • Middle East & Africa
  • Latin & Central America

Key Questions Answered:

The report provides answers to the following key questions:

  • How big is the SON opportunity?
  • What trends, drivers and challenges are influencing its growth?
  • What will the market size be in 2025, and at what rate will it grow?
  • Which submarkets and regions will see the highest percentage of growth?
  • How do SON investments compare with spending on conventional 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 D-SON and C-SON adoption worldwide?
  • When will open standards-based RIC platforms, xApps and rApps replace the traditional SON approach?
  • What are the prospects of AI/ML-driven automation in the SON market?
  • What opportunities exist for SON capabilities in the mobile core and transport network domains?
  • How can SON ease the deployment of private 4G/5G networks for enterprises and vertical industries?
  • In what way will SON facilitate network slicing and other advanced 5G capabilities?
  • How does SON impact mobile network optimization engineers?
  • Who are the key ecosystem players, and what are their strategies?
  • What strategies should SON solution providers and mobile operators adopt to remain competitive?

Table of Contents

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

Chapter 2: SON & Mobile Network Optimization Ecosystem

  • 2.1. Conventional Mobile Network Optimization
    • 2.1.1. Network Planning
    • 2.1.2. Measurement Collection: Drive Tests, Probes & End User Data
    • 2.1.3. Post-Processing, Optimization & Policy Enforcement
  • 2.2. The SON (Self-Organizing Network) Concept
    • 2.2.1. What is SON?
    • 2.2.2. The Need for SON
  • 2.3. Functional Areas of SON
    • 2.3.1. Self-Configuration
    • 2.3.2. Self-Optimization
    • 2.3.3. Self-Healing
    • 2.3.4. Self-Protection
    • 2.3.5. Self-Learning
  • 2.4. SON Value Chain
    • 2.4.1. SON, xApp/rApp & Automation Specialists
    • 2.4.2. OSS & RIC Platform Providers
    • 2.4.3. RAN, Core & Transport Network Equipment Suppliers
    • 2.4.4. Wireless Service Providers
      • 2.4.4.1. National Mobile Operators
      • 2.4.4.2. Fixed-Line Service Providers
      • 2.4.4.3. Private 4G/5G Network Operators
      • 2.4.4.4. Neutral Hosts
    • 2.4.5. End Users
      • 2.4.5.1. Consumers
      • 2.4.5.2. Enterprises & Vertical Industries
    • 2.4.6. Other Ecosystem Players
  • 2.5. Market Drivers
    • 2.5.1. The 5G & Open RAN Era: Continued Infrastructure Investments
    • 2.5.2. Optimization in Complex Multi-RAN Environments
    • 2.5.3. OpEx & CapEx Reduction: The Cost Savings Potential
    • 2.5.4. Improving Subscriber Experience & Churn Reduction
    • 2.5.5. Power Savings: Towards Greener Mobile Networks
    • 2.5.6. Alleviating Congestion With Traffic Management
    • 2.5.7. Enabling Plug & Play Deployment of Small Cells
    • 2.5.8. Growing Adoption of Private 4G/5G Networks
  • 2.6. Market Barriers
    • 2.6.1. Complexity of Implementation
    • 2.6.2. Reorganization & Changes to Standard Engineering Procedures
    • 2.6.3. Lack of Trust in Automation
    • 2.6.4. Proprietary SON Algorithms
    • 2.6.5. Coordination Between Distributed & Centralized SON
    • 2.6.6. Network Security Concerns: New Interfaces & Lack of Monitoring

Chapter 3: SON Technology, Implementation Architectures & Use Cases

  • 3.1. Where Does SON Sit Within a Mobile Network?
    • 3.1.1. RAN
    • 3.1.2. Mobile Core
    • 3.1.3. Transport (Fronthaul, Midhaul & Backhaul)
    • 3.1.4. Device-Assisted SON
  • 3.2. Traditional SON Architecture
    • 3.2.1. D-SON (Distributed SON)
    • 3.2.2. C-SON (Centralized SON)
    • 3.2.3. H-SON (Hybrid SON)
  • 3.3. Open Standards-Compliant RIC, xApps & rApps
    • 3.3.1. RIC (RAN Intelligent Controller)
      • 3.3.1.1. Near-RT (Real-Time) RIC
      • 3.3.1.2. Non-RT (Real-Time) RIC
    • 3.3.2. xApps: Open D-SON Applications
    • 3.3.3. rApps: Open C-SON Applications
  • 3.4. SON Use Cases
    • 3.4.1. RAN-Centric Use Cases
      • 3.4.1.1. ANR (Automatic Neighbor Relations)
      • 3.4.1.2. CNR (Centralized Neighbor Relations)
      • 3.4.1.3. PCI (Physical Cell ID) Allocation & Conflict Resolution
      • 3.4.1.4. CCO (Coverage & Capacity Optimization)
      • 3.4.1.5. MRO (Mobility Robustness Optimization)
      • 3.4.1.6. MLB (Mobility Load Balancing)
      • 3.4.1.7. RACH (Random Access Channel) Optimization
      • 3.4.1.8. ICIC (Inter-Cell Interference Coordination) & eICIC (Enhanced ICIC)
      • 3.4.1.9. COD/COC (Cell Outage Detection & Compensation)
      • 3.4.1.10. MDT (Minimization of Drive Tests)
      • 3.4.1.11. Advanced Traffic Steering
      • 3.4.1.12. Automated Anomaly Detection
      • 3.4.1.13. Massive MIMO & Beamforming Optimization
      • 3.4.1.14. 4G-5G Dual Connectivity Management
      • 3.4.1.15. RAN Slice Management
      • 3.4.1.16. DSS (Dynamic Spectrum Sharing)
      • 3.4.1.17. Frequency Layer Management
      • 3.4.1.18. BBU (Baseband Unit) Resource Pooling
      • 3.4.1.19. Radio Resource Allocation for Complex Vertical Applications
      • 3.4.1.20. Handover Management in V2X Communications Scenarios
      • 3.4.1.21. Rapid Plug & Play Configuration of Small Cells
      • 3.4.1.22. DAS (Distributed Antenna System) Optimization
    • 3.4.2. Multi-Domain, Core & Transport-Related Use Cases
      • 3.4.2.1. Self-Configuration & Testing of Network Elements
      • 3.4.2.2. Domain Connectivity Management
      • 3.4.2.3. Automated Inventory Checks
      • 3.4.2.4. AIC (Automated Inconsistency Correction)
      • 3.4.2.5. Self-Healing of Network Faults
      • 3.4.2.6. Signaling Storm Protection
      • 3.4.2.7. Energy Efficiency & Savings
      • 3.4.2.8. QoS & QoE-Based Optimization
      • 3.4.2.9. Congestion Prediction & Management
      • 3.4.2.10. AI-Enabled Performance Diagnostics
      • 3.4.2.11. Industrial IoT Optimization
      • 3.4.2.12. Core Network Automation
      • 3.4.2.13. Network Slicing Resource Allocation
      • 3.4.2.14. Optimization of VNFs & CNFs
      • 3.4.2.15. Auto-Provisioning of Transport Links
      • 3.4.2.16. Transport Network Bandwidth Optimization
      • 3.4.2.17. Wireless Transport Interference Management
      • 3.4.2.18. Seamless Vendor Infrastructure Swap
      • 3.4.2.19. SON Coordination Management
      • 3.4.2.20. Cognitive & Self-Learning Networks

Chapter 4: Key Trends in Next-Generation SON Implementations

  • 4.1. Open RAN & vRAN (Virtualized RAN) Architectures
    • 4.1.1. Enabling RAN Automation & Intelligence With RIC, xApps & rApps
  • 4.2. Small Cells, HetNets & RAN Densification
    • 4.2.1. Plug & Play Small Cells
    • 4.2.2. SON-Enabled Coordination of UDNs (Ultra-Dense Networks)
  • 4.3. Shared & Unlicensed Spectrum
    • 4.3.1. Dynamic Management of Spectrum Using SON
  • 4.4. MEC (Multi-Access Edge Computing)
    • 4.4.1. Potential Synergies With SON
  • 4.5. Network Slicing
    • 4.5.1. SON Mechanisms for Network Slicing in 5G Networks
  • 4.6. Big Data & Advanced Analytics
    • 4.6.1. Maximizing the Benefits of SON With Big Data
    • 4.6.2. The Importance of Predictive & Behavioral Analytics
  • 4.7. AI (Artificial Intelligence) & ML (Machine Learning)
    • 4.7.1. Towards Self-Learning SON Engines
    • 4.7.2. Deep Learning: Enabling Zero-Touch Mobile Networks
  • 4.8. NFV (Network Functions Virtualization)
    • 4.8.1. Enabling SON-Driven Deployment of VNFs & CNFs
  • 4.9. SDN (Software-Defined Networking) & Programmability
    • 4.9.1. Using the SDN Controller as a Platform for SON in Transport Networks
  • 4.10. Cloud Computing
    • 4.10.1. Facilitating C-SON Scalability & Elasticity
  • 4.11. Other Trends & Complementary Technologies
    • 4.11.1. Private 4G/5G Networks
    • 4.11.2. FWA (Fixed Wireless Access)
    • 4.11.3. DPI (Deep Packet Inspection)
    • 4.11.4. Digital Security for Self-Protection
    • 4.11.5. SON Capabilities for IoT Applications
    • 4.11.6. User-Based Profiling & Optimization for Vertical 5G Applications
    • 4.11.7. Addressing D2D (Device-to-Device) Communications & New Use Cases

Chapter 5: Standardization, Regulatory & Collaborative Initiatives

  • 5.1. 3GPP (Third Generation Partnership Project)
    • 5.1.1. 3GPP Standardization of SON Capabilities
    • 5.1.2. LTE SON Features
      • 5.1.2.1. Release 8
      • 5.1.2.2. Release 9
      • 5.1.2.3. Release 10
      • 5.1.2.4. Release 11
      • 5.1.2.5. Release 12
      • 5.1.2.6. Releases 13 & 14
    • 5.1.3. 5G NR SON Features
      • 5.1.3.1. Release 15
      • 5.1.3.2. Release 16
      • 5.1.3.3. Release 17
      • 5.1.3.4. Release 18 & Beyond
    • 5.1.4. Implementation Approach for 3GPP-Specified SON Features
  • 5.2. O-RAN Alliance
    • 5.2.1. Open RAN RIC Architecture Specifications
    • 5.2.2. xApp & rApp Use Cases
  • 5.3. OSA (OpenAirInterface Software Alliance)
    • 5.3.1. M5G (MOSAIC5G) Project: Flexible RAN & Core Controllers
  • 5.4. TIP (Telecom Infra Project)
    • 5.4.1. RIA (RAN Intelligence & Automation) Project
  • 5.5. ONF (Open Networking Foundation)
    • 5.5.1. SD-RAN Project: Near Real-Time RIC & Exemplar xApps
  • 5.6. Linux Foundation's ONAP (Open Network Automation Platform)
    • 5.6.1. OOF (ONAP Optimization Framework)-SON for 5G Networks
    • 5.6.2. Interface Support for Open RAN RIC Integration
  • 5.7. SCF (Small Cell Forum)
    • 5.7.1. 4G/5G Small Cell SON & Orchestration
  • 5.8. OSSii (Operations Support Systems Interoperability Initiative)
    • 5.8.1. Enabling Multi-Vendor SON Interoperability
  • 5.9. NGMN Alliance
    • 5.9.1. Conception of the SON Initiative
    • 5.9.2. Recommendations for Multi-Vendor SON Deployment
    • 5.9.3. SON Capabilities for 5G Network Deployment, Operation & Management
  • 5.10. Others

Chapter 6: SON Deployment Case Studies

  • 6.1. AT&T
    • 6.1.1. Vendor Selection
    • 6.1.2. SON Deployment Review
    • 6.1.3. Results & Future Plans
  • 6.2. Bell Canada
    • 6.2.1. Vendor Selection
    • 6.2.2. SON Deployment Review
    • 6.2.3. Results & Future Plans
  • 6.3. Bharti Airtel
    • 6.3.1. Vendor Selection
    • 6.3.2. SON Deployment Review
    • 6.3.3. Results & Future Plans
  • 6.4. BT Group
    • 6.4.1. Vendor Selection
    • 6.4.2. SON Deployment Review
    • 6.4.3. Results & Future Plans
  • 6.5. China Mobile
    • 6.5.1. Vendor Selection
    • 6.5.2. SON Deployment Review
    • 6.5.3. Results & Future Plans
  • 6.6. Elisa
    • 6.6.1. Vendor Selection
    • 6.6.2. SON Deployment Review
    • 6.6.3. Results & Future Plans
  • 6.7. Globe Telecom
    • 6.7.1. Vendor Selection
    • 6.7.2. SON Deployment Review
    • 6.7.3. Results & Future Plans
  • 6.8. KDDI Corporation
    • 6.8.1. Vendor Selection
    • 6.8.2. SON Deployment Review
    • 6.8.3. Results & Future Plans
  • 6.9. MegaFon
    • 6.9.1. Vendor Selection
    • 6.9.2. SON Deployment Review
    • 6.9.3. Results & Future Plans
  • 6.10. NTT DoCoMo
    • 6.10.1. Vendor Selection
    • 6.10.2. SON Deployment Review
    • 6.10.3. Results & Future Plans
  • 6.11. Ooredoo
    • 6.11.1. Vendor Selection
    • 6.11.2. SON Deployment Review
    • 6.11.3. Results & Future Plans
  • 6.12. Orange
    • 6.12.1. Vendor Selection
    • 6.12.2. SON Deployment Review
    • 6.12.3. Results & Future Plans
  • 6.13. Singtel
    • 6.13.1. Vendor Selection
    • 6.13.2. SON Deployment Review
    • 6.13.3. Results & Future Plans
  • 6.14. SK Telecom
    • 6.14.1. Vendor Selection
    • 6.14.2. SON Deployment Review
    • 6.14.3. Results & Future Plans
  • 6.15. Telecom Argentina
    • 6.15.1. Vendor Selection
    • 6.15.2. SON Deployment Review
    • 6.15.3. Results & Future Plans
  • 6.16. Telefónica Group
    • 6.16.1. Vendor Selection
    • 6.16.2. SON Deployment Review
    • 6.16.3. Results & Future Plans
  • 6.17. TIM (Telecom Italia Mobile)
    • 6.17.1. Vendor Selection
    • 6.17.2. SON Deployment Review
    • 6.17.3. Results & Future Plans
  • 6.18. Turkcell
    • 6.18.1. Vendor Selection
    • 6.18.2. SON Deployment Review
    • 6.18.3. Results & Future Plans
  • 6.19. Verizon Communications
    • 6.19.1. Vendor Selection
    • 6.19.2. SON Deployment Review
    • 6.19.3. Results & Future Plans
  • 6.20. Vodafone Group
    • 6.20.1. Vendor Selection
    • 6.20.2. SON Deployment Review
    • 6.20.3. Results & Future Plans
  • 6.21. Other Recent Deployments & Ongoing Projects
    • 6.21.1. beCloud (Belarusian Cloud Technologies): AI-Enabled Network Automation & Performance Management
    • 6.21.2. Beeline Russia: Transforming the Mobile Experience Using C-SON Technology
    • 6.21.3. Betacom: Accelerating Enterprise Private 5G Adoption With RAN Automation
    • 6.21.4. BTC (Botswana Telecommunications Corporation): SON for Nationwide Network Optimization
    • 6.21.5. Celona: Self-Organizing 5G LAN Solution for Enterprises
    • 6.21.6. América Móvil: Accelerating 5G Rollouts Through SON-Based Automation
    • 6.21.7. DISH Network Corporation: RIC-Based Custom RAN Programmability & Intelligence
    • 6.21.8. DT (Deutsche Telekom): Berlin SD-RAN 4G/5G Outdoor Field Trial
    • 6.21.9. KPN: SON-Driven Automation for Network Optimization
    • 6.21.10. Kyivstar: Leveraging C-SON to Enhance Network Performance
    • 6.21.11. Liberty Global: Building a Customer-First Network
    • 6.21.12. LTT (Libya Telecom & Technology): Nationwide RAN Automation
    • 6.21.13. NEC Corporation: Self-Learning Local 5G Networks
    • 6.21.14. Opticoms: Optimizing Open RAN-Compliant Private 5G Networks
    • 6.21.15. Rakuten Mobile: Embedded RIC for RAN Automation Applications
    • 6.21.16. Smart Communications (PLDT): Enabling Multi-Vendor 4G/5G Network Automation
    • 6.21.17. Smartfren: Facilitating Network Densification & HetNet Management With C-SON Technology
    • 6.21.18. STC (Saudi Telecom Company): Automating Network Operations & Driving 5G Transformation
    • 6.21.19. Telkomsel: SON-Enabled Automated Network Optimization
    • 6.21.20. Telstra: Boosting Mobile Network Automation
    • 6.21.21. Zain Group: SON for Performance Enhancement

Chapter 7: Key Ecosystem Players

  • 7.1. Aarna Networks
  • 7.2. Abside Networks
  • 7.3. Accedian
  • 7.4. Accelleran
  • 7.5. Accuver (InnoWireless)
  • 7.6. Actiontec Electronics
  • 7.7. AI-LINK
  • 7.8. AirHop Communications
  • 7.9. Airspan Networks
  • 7.10. AiVader
  • 7.11. Aliniant
  • 7.12. Allot
  • 7.13. Alpha Networks
  • 7.14. Altiostar (Rakuten Symphony)
  • 7.15. Amazon/AWS (Amazon Web Services)
  • 7.16. Amdocs
  • 7.17. Anktion (Fujian) Technology
  • 7.18. Anritsu
  • 7.19. Arcadyan Technology Corporation (Compal Electronics)
  • 7.20. Argela
  • 7.21. Aria Networks
  • 7.22. ArrayComm (Chengdu ArrayComm Wireless Technologies)
  • 7.23. Artemis Networks
  • 7.24. Artiza Networks
  • 7.25. Arukona
  • 7.26. Askey Computer Corporation (ASUS - ASUSTeK Computer)
  • 7.27. ASOCS
  • 7.28. Aspire Technology (NEC Corporation)
  • 7.29. ASTRI (Hong Kong Applied Science and Technology Research Institute)
  • 7.30. ATDI
  • 7.31. Atesio
  • 7.32. Atrinet
  • 7.33. Aurora Insight
  • 7.34. Aviat Networks
  • 7.35. Azcom Technology
  • 7.36. Baicells
  • 7.37. BandwidthX
  • 7.38. BLiNQ Networks (CCI - Communication Components Inc.)
  • 7.39. Blu Wireless
  • 7.40. Blue Danube Systems (NEC Corporation)
  • 7.41. BTI Wireless
  • 7.42. B-Yond
  • 7.43. CableFree (Wireless Excellence)
  • 7.44. Cambium Networks
  • 7.45. Capgemini Engineering
  • 7.46. Casa Systems
  • 7.47. CBNG (Cambridge Broadband Networks Group)
  • 7.48. CCS - Cambridge Communication Systems (ADTRAN)
  • 7.49. Celfinet (Cyient)
  • 7.50. CellOnyx
  • 7.51. Cellwize (Qualcomm)
  • 7.52. CelPlan Technologies
  • 7.53. CGI
  • 7.54. Chengdu NTS
  • 7.55. CICT - China Information and Communication Technology Group (China Xinke Group)
  • 7.56. Ciena Corporation
  • 7.57. CIG (Cambridge Industries Group)
  • 7.58. Cisco Systems
  • 7.59. Cohere Technologies
  • 7.60. Comarch
  • 7.61. Comba Telecom
  • 7.62. CommAgility (Wireless Telecom Group)
  • 7.63. CommScope
  • 7.64. COMSovereign
  • 7.65. Contela
  • 7.66. Continual
  • 7.67. Corning
  • 7.68. Creanord
  • 7.69. DeepSig
  • 7.70. Dell Technologies
  • 7.71. DGS (Digital Global Systems)
  • 7.72. Digitata
  • 7.73. D-Link Corporation
  • 7.74. DZS
  • 7.75. ECE (European Communications Engineering)
  • 7.76. EDX Wireless
  • 7.77. eino
  • 7.78. Elisa Polystar
  • 7.79. Equiendo
  • 7.80. Ericsson
  • 7.81. Errigal
  • 7.82. ETRI (Electronics & Telecommunications Research Institute, South Korea)
  • 7.83. EXFO
  • 7.84. Fairspectrum
  • 7.85. Federated Wireless
  • 7.86. Flash Networks
  • 7.87. Forsk
  • 7.88. Foxconn (Hon Hai Technology Group)
  • 7.89. Fraunhofer HHI (Heinrich Hertz Institute)
  • 7.90. Fujitsu
  • 7.91. Gemtek Technology
  • 7.92. GENEViSiO (QNAP Systems)
  • 7.93. GenXComm
  • 7.94. Gigamon
  • 7.95. GigaTera Communications (KMW)
  • 7.96. Google (Alphabet)
  • 7.97. Groundhog Technologies
  • 7.98. Guavus (Thales)
  • 7.99. HCL Technologies
  • 7.100. Helios (Fujian Helios Technologies)
  • 7.101. HFR Networks
  • 7.102. Highstreet Technologies
  • 7.103. Hitachi
  • 7.104. HPE (Hewlett Packard Enterprise)
  • 7.105. HSC (Hughes Systique Corporation)
  • 7.106. Huawei
  • 7.107. iBwave Solutions
  • 7.108. iConNext
  • 7.109. Infinera
  • 7.110. Infosys
  • 7.111. InfoVista
  • 7.112. Inmanta
  • 7.113. Innovile
  • 7.114. InnoWireless
  • 7.115. Intel Corporation
  • 7.116. InterDigital
  • 7.117. Intracom Telecom
  • 7.118. Inventec Corporation
  • 7.119. ISCO International
  • 7.120. IS-Wireless
  • 7.121. ITRI (Industrial Technology Research Institute, Taiwan)
  • 7.122. JMA Wireless
  • 7.123. JRC (Japan Radio Company)
  • 7.124. Juniper Networks
  • 7.125. Key Bridge Wireless
  • 7.126. Keysight Technologies
  • 7.127. Kleos
  • 7.128. KMW
  • 7.129. Kumu Networks
  • 7.130. Lemko Corporation
  • 7.131. Lenovo
  • 7.132. Lextrum (COMSovereign)
  • 7.133. Lime Microsystems
  • 7.134. LIONS Technology
  • 7.135. LITE-ON Technology Corporation
  • 7.136. LS telcom
  • 7.137. LuxCarta
  • 7.138. MantisNet
  • 7.139. Marvell Technology
  • 7.140. Mavenir
  • 7.141. Meta Connectivity
  • 7.142. MicroNova
  • 7.143. Microsoft Corporation
  • 7.144. MikroTik
  • 7.145. MitraStar Technology (Unizyx Holding Corporation)
  • 7.146. MYCOM OSI (Amdocs)
  • 7.147. Nash Technologies
  • 7.148. NEC Corporation
  • 7.149. Net AI
  • 7.150. Netcracker Technology (NEC Corporation)
  • 7.151. NETSCOUT Systems
  • 7.152. Netsia (Argela)
  • 7.153. New H3C Technologies (Tsinghua Unigroup)
  • 7.154. New Postcom Equipment
  • 7.155. Nextivity
  • 7.156. Node-H
  • 7.157. Nokia
  • 7.158. NuRAN Wireless
  • 7.159. NXP Semiconductors
  • 7.160. Oceus Networks
  • 7.161. Omnitele
  • 7.162. Opanga Networks
  • 7.163. Openet (Amdocs)
  • 7.164. P.I. Works
  • 7.165. Parallel Wireless
  • 7.166. Phluido
  • 7.167. Picocom
  • 7.168. Pivotal Commware
  • 7.169. Polte
  • 7.170. Potevio (CETC - China Electronics Technology Group Corporation)
  • 7.171. Qualcomm
  • 7.172. Quanta Computer
  • 7.173. Qucell Networks (InnoWireless)
  • 7.174. RADCOM
  • 7.175. Radisys (Reliance Industries)
  • 7.176. Rakuten Symphony
  • 7.177. Ranplan Wireless
  • 7.178. Red Hat (IBM)
  • 7.179. RED Technologies
  • 7.180. RIMEDO Labs
  • 7.181. Rivada Networks
  • 7.182. Rohde & Schwarz
  • 7.183. Ruijie Networks
  • 7.184. RunEL
  • 7.185. SageRAN (Guangzhou SageRAN Technology)
  • 7.186. Saguna Networks (COMSovereign)
  • 7.187. Samji Electronics
  • 7.188. Samsung
  • 7.189. Sandvine
  • 7.190. Sercomm Corporation
  • 7.191. Signalwing
  • 7.192. Siklu
  • 7.193. SIRADEL
  • 7.194. Skyvera (TelcoDR)
  • 7.195. SOLiD
  • 7.196. Sooktha
  • 7.197. Spectrum Effect
  • 7.198. SSC (Shared Spectrum Company)
  • 7.199. Star Solutions
  • 7.200. STL (Sterlite Technologies Ltd.)
  • 7.201. Subex
  • 7.202. Sunwave Communications
  • 7.203. Systemics-PAB
  • 7.204. T&W (Shenzhen Gongjin Electronics)
  • 7.205. Tarana Wireless
  • 7.206. TCS (Tata Consultancy Services)
  • 7.207. Tech Mahindra
  • 7.208. Tecore Networks
  • 7.209. Telrad Networks
  • 7.210. TEOCO
  • 7.211. ThinkRF
  • 7.212. TI (Texas Instruments)
  • 7.213. TietoEVRY
  • 7.214. Trópico (CPQD - Center for Research and Development in Telecommunications, Brazil)
  • 7.215. TTG International
  • 7.216. Tupl
  • 7.217. ULAK Communication
  • 7.218. Vavitel (Shenzhen Vavitel Technology)
  • 7.219. VHT (Viettel High Tech)
  • 7.220. VIAVI Solutions
  • 7.221. VMware
  • 7.222. VNC - Virtual NetCom (COMSovereign)
  • 7.223. VNL - Vihaan Networks Limited (Shyam Group)
  • 7.224. WDNA (Wireless DNA)
  • 7.225. WebRadar
  • 7.226. Wind River Systems
  • 7.227. Wipro
  • 7.228. Wiwynn (Wistron Corporation)
  • 7.229. WNC (Wistron NeWeb Corporation)
  • 7.230. XCOM Labs
  • 7.231. Xingtera
  • 7.232. ZaiNar
  • 7.233. Z-Com
  • 7.234. Zeetta Networks
  • 7.235. ZTE
  • 7.236. Zyxel (Unizyx Holding Corporation)

Chapter 8: Market Sizing & Forecasts

  • 8.1. SON & Mobile Network Optimization Revenue
  • 8.2. SON Revenue
  • 8.3. SON Revenue by Network Segment
    • 8.3.1. RAN
    • 8.3.2. Mobile Core
    • 8.3.3. Transport (Fronthaul, Midhaul & Backhaul)
  • 8.4. RAN Segment SON Revenue by Architecture: Traditional SON vs. Open RAN RIC, xApps & rApps
    • 8.4.1. Traditional D-SON & C-SON
      • 8.4.1.1. Embedded D-SON Features
      • 8.4.1.2. Third Party C-SON & OSS Platforms
    • 8.4.2. Open RAN RIC, xApps & rApps
      • 8.4.2.1. RIC Platforms
      • 8.4.2.2. Near Real-Time xApps
      • 8.4.2.3. Non Real-Time rApps
    • 8.4.3. Mobile Operators' In-House SON Tools & Systems
  • 8.5. SON Revenue by Access Network Technology
    • 8.5.1. 2G & 3G
    • 8.5.2. LTE
    • 8.5.3. 5G NR
    • 8.5.4. Wi-Fi & Others
  • 8.6. SON Revenue by Region
  • 8.7. Conventional Mobile Network Planning & Optimization Revenue
  • 8.8. Conventional Mobile Network Planning & Optimization Revenue by Region
  • 8.9. North America
    • 8.9.1. SON
    • 8.9.2. Conventional Mobile Network Planning & Optimization
  • 8.10. Asia Pacific
    • 8.10.1. SON
    • 8.10.2. Conventional Mobile Network Planning & Optimization
  • 8.11. Europe
    • 8.11.1. SON
    • 8.11.2. Conventional Mobile Network Planning & Optimization
  • 8.12. Middle East & Africa
    • 8.12.1. SON
    • 8.12.2. Conventional Mobile Network Planning & Optimization
  • 8.13. Latin & Central America
    • 8.13.1. SON
    • 8.13.2. Conventional Mobile Network Planning & Optimization

Chapter 9: Conclusion & Strategic Recommendations

  • 9.1. Why is the Market Poised to Grow?
  • 9.2. Future Roadmap: 2022 - 2030
    • 9.2.1. 2022 - 2025: Transition From Traditional SON to RIC Platforms, xApps & rApps
    • 9.2.2. 2026 - 2029: Commercial Maturity of Advanced AI/ML-Based SON Implementations
    • 9.2.3. 2030 & Beyond: Towards Zero-Touch 5G & 6G Network Automation
  • 9.3. Competitive Industry Landscape: Acquisitions, Alliances & Consolidation
  • 9.4. The C-SON Versus D-SON Debate
  • 9.5. Evaluating the Practical Benefits of SON
  • 9.6. Prospects of Open RAN Standards-Compliant RIC Platforms, xApps & rApps
  • 9.7. End-to-End SON: From the RAN to the Core & Transport Domains
  • 9.8. Growing Adoption of SON Capabilities for Wi-Fi & Non-3GPP Access Technologies
  • 9.9. The Importance of AI & ML-Driven SON Algorithms
  • 9.10. Improving End User Experience With QoE-Based Optimization
  • 9.11. Enabling Network Slicing & Advanced 5G Capabilities
  • 9.12. Greater Focus on Self-Protection
  • 9.13. Addressing IoT Optimization
  • 9.14. Managing Shared & Unlicensed Spectrum
  • 9.15. Easing the Deployment of Private 4G/5G Networks
  • 9.16. Assessing the Impact of SON on Optimization & Field Engineers
  • 9.17. Strategic Recommendations
    • 9.17.1. SON Solution Providers
    • 9.17.2. Mobile Operators

List of Figures

  • Figure 1: Functional Areas of SON Within the Mobile Network Lifecycle
  • Figure 2: SON Value Chain
  • Figure 3: SON Associated OpEx & CapEx Savings by Network Segment (%)
  • Figure 4: Potential Areas of SON Implementation
  • Figure 5: Mobile Fronthaul, Midhaul & Backhaul Technologies
  • Figure 6: D-SON (Distributed SON) in a Mobile Network
  • Figure 7: C-SON (Centralized SON) in a Mobile Network
  • Figure 8: H-SON (Hybrid SON) in a Mobile Network
  • Figure 9: RIC (RAN Intelligent Controller) Functional Architecture
  • Figure 10: Transition to UDNs (Ultra-Dense Networks)
  • Figure 11: Conceptual Architecture for End-to-End Network Slicing in Mobile Networks
  • Figure 12: NFV (Network Functions Virtualization) Concept
  • Figure 13: Comparison Between DPI (Deep Packet Inspection) & Shallow Packet Inspection
  • Figure 14: O-RAN Architecture
  • Figure 15: OSA's M5G (MOSAIC5G) Stack
  • Figure 16: ONF's SD-RAN Project
  • Figure 17: NGNM SON Use Cases
  • Figure 18: AT&T's SON Implementation
  • Figure 19: Elisa's In-House SON Solution
  • Figure 20: KDDI's AI-Assisted Automated Network Operation System
  • Figure 21: NTT DoCoMo's Intelligent RAN Roadmap
  • Figure 22: Orange's Vision for Cognitive PBSM (Policy-Based SON Management)
  • Figure 23: SK Telecom's Fast Data Platform for QoE-Based Automatic Network Optimization
  • Figure 24: Telefónica's SON Deployment Roadmap From 4G To 5G Rollouts
  • Figure 25: TIM's Open SON Architecture
  • Figure 26: Global SON & Mobile Network Optimization Revenue: 2022 - 2030 ($ Million)
  • Figure 27: Global SON Revenue: 2022 - 2030 ($ Million)
  • Figure 28: Global SON Revenue by Network Segment: 2022 - 2030 ($ Million)
  • Figure 29: Global SON Revenue in the RAN Segment: 2022 - 2030 ($ Million)
  • Figure 30: Global SON Revenue in the Mobile Core Segment: 2022 - 2030 ($ Million)
  • Figure 31: Global SON Revenue in the Transport (Fronthaul, Midhaul & Backhaul) Segment: 2022 - 2030 ($ Million)
  • Figure 32: Global RAN Segment SON Revenue by Architecture: 2022 - 2030 ($ Million)
  • Figure 33: Global RAN Segment Traditional D-SON & C-SON Revenue: 2022 - 2030 ($ Million)
  • Figure 34: Global RAN Segment Embedded D-SON Revenue: 2022 - 2030 ($ Million)
  • Figure 35: Global RAN Segment Third Party C-SON & OSS Platforms Revenue: 2022 - 2030 ($ Million)
  • Figure 36: Global Open RAN RIC, xApps & rApps Revenue: 2022 - 2030 ($ Million)
  • Figure 37: Global RIC Platforms Revenue: 2022 - 2030 ($ Million)
  • Figure 38: Global Near Real-Time xApps Revenue: 2022 - 2030 ($ Million)
  • Figure 39: Global Non Real-Time rApps Revenue: 2022 - 2030 ($ Million)
  • Figure 40: Global Mobile Operators' In-House SON Tools & Systems Revenue: 2022 - 2030 ($ Million)
  • Figure 41: Global SON Revenue by Access Network Technology: 2022 - 2030 ($ Million)
  • Figure 42: Global 2G & 3G SON Revenue: 2022 - 2030 ($ Million)
  • Figure 43: Global LTE SON Revenue: 2022 - 2030 ($ Million)
  • Figure 44: Global 5G NR SON Revenue: 2020 - 2030 ($ Million)
  • Figure 45: Global Wi-Fi & Other Access Technology SON Revenue: 2022 - 2030 ($ Million)
  • Figure 46: SON Revenue by Region: 2022 - 2030 ($ Million)
  • Figure 47: Global Conventional Mobile Network Planning & Optimization Revenue: 2022 - 2030 ($ Million)
  • Figure 48: Conventional Mobile Network Planning & Optimization Revenue by Region: 2022 - 2030 ($ Million)
  • Figure 49: North America SON Revenue: 2022 - 2030 ($ Million)
  • Figure 50: North America Conventional Mobile Network Planning & Optimization Revenue: 2022 - 2030 ($ Million)
  • Figure 51: Asia Pacific SON Revenue: 2022 - 2030 ($ Million)
  • Figure 52: Asia Pacific Conventional Mobile Network Planning & Optimization Revenue: 2022 - 2030 ($ Million)
  • Figure 53: Europe SON Revenue: 2022 - 2030 ($ Million)
  • Figure 54: Europe Conventional Mobile Network Planning & Optimization Revenue: 2022 - 2030 ($ Million)
  • Figure 55: Middle East & Africa SON Revenue: 2022 - 2030 ($ Million)
  • Figure 56: Middle East & Africa Conventional Mobile Network Planning & Optimization Revenue: 2022 - 2030 ($ Million)
  • Figure 57: Latin & Central America SON Revenue: 2022 - 2030 ($ Million)
  • Figure 58: Latin & Central America Conventional Mobile Network Planning & Optimization Revenue: 2022 - 2030 ($ Million)
  • Figure 59: SON Future Roadmap: 2022 - 2030
  • Figure 60: Global Spending on RIC Platforms, xApps & rApps: 2023 - 2025 ($ Million)

List of Companies Mentioned:

  • 3GPP (Third Generation Partnership Project)
  • Aarna Networks
  • Abside Networks
  • Accedian
  • Accelleran
  • Accuver
  • Actiontec Electronics
  • ADTRAN
  • AI-LINK
  • AirHop Communications
  • Airspan Networks
  • AiVader
  • Aliniant
  • Allot
  • Alpha Networks
  • Alphabet
  • Altiostar
  • Amazon
  • Amdocs
  • América Móvil
  • Anktion (Fujian) Technology
  • Anritsu
  • Arcadyan Technology Corporation
  • Argela
  • Aria Networks
  • ARIB (Association of Radio Industries and Businesses, Japan)
  • ArrayComm (Chengdu ArrayComm Wireless Technologies)
  • Artemis Networks
  • Artiza Networks
  • Arukona
  • Askey Computer Corporation
  • ASOCS
  • Aspire Technology
  • ASTRI (Hong Kong Applied Science and Technology Research Institute)
  • ASUS (ASUSTeK Computer)
  • AT&T
  • ATDI
  • Atesio
  • ATIS (Alliance for Telecommunications Industry Solutions)
  • Atrinet
  • Aurora Insight
  • Aviat Networks
  • AWS (Amazon Web Services)
  • Azcom Technology
  • Baicells
  • BandwidthX
  • beCloud (Belarusian Cloud Technologies)
  • Beeline Russia
  • Bell Canada
  • Betacom
  • Bharti Airtel
  • BLiNQ Networks
  • Blu Wireless
  • Blue Danube Systems
  • BT Group
  • BTC (Botswana Telecommunications Corporation)
  • BTI Wireless
  • B-Yond
  • CableFree (Wireless Excellence)
  • CableLabs
  • Cambium Networks
  • Capgemini Engineering
  • Casa Systems
  • CBNG (Cambridge Broadband Networks Group)
  • CCI (Communication Components Inc.)
  • CCS (Cambridge Communication Systems)
  • CCSA (China Communications Standards Association)
  • Celfinet (Cyient)
  • CellOnyx
  • Cellwize
  • Celona
  • CelPlan Technologies
  • CETC (China Electronics Technology Group Corporation)
  • CGI
  • Chengdu NTS
  • China Mobile
  • CICT - China Information and Communication Technology Group (China Xinke Group)
  • Ciena Corporation
  • CIG (Cambridge Industries Group)
  • Cisco Systems
  • Claro Colombia
  • Cohere Technologies
  • Comarch
  • Comba Telecom
  • CommAgility
  • CommScope
  • Compal Electronics
  • COMSovereign
  • Contela
  • Continual
  • Corning
  • CPQD (Center for Research and Development in Telecommunications, Brazil)
  • Creanord
  • Datang Telecom Technology & Industry Group
  • DeepSig
  • Dell Technologies
  • DGS (Digital Global Systems)
  • Digitata
  • DISH Network Corporation
  • D-Link Corporation
  • DSA (Dynamic Spectrum Alliance)
  • DT (Deutsche Telekom)
  • DZS
  • ECE (European Communications Engineering)
  • EDX Wireless
  • EE
  • eino
  • Elisa
  • Elisa Polystar
  • Equiendo
  • Ericsson
  • Errigal
  • ETRI (Electronics & Telecommunications Research Institute, South Korea)
  • ETSI (European Telecommunications Standards Institute)
  • EXFO
  • Fairspectrum
  • Federated Wireless
  • FiberHome Technologies
  • Flash Networks
  • Forsk
  • Foxconn (Hon Hai Technology Group)
  • Fraunhofer HHI (Heinrich Hertz Institute)
  • Fujitsu
  • Gemtek Technology
  • GENEViSiO
  • GenXComm
  • Gigamon
  • GigaTera Communications
  • Globe Telecom
  • Google
  • Groundhog Technologies
  • Guavus
  • HCL Technologies
  • Helios (Fujian Helios Technologies)
  • HFR Networks
  • Highstreet Technologies
  • Hitachi
  • Hitachi Kokusai Electric
  • Hitachi Vantara
  • HPE (Hewlett Packard Enterprise)
  • HSC (Hughes Systique Corporation)
  • Huawei
  • IBM
  • iBwave Solutions
  • iConNext
  • Infinera
  • Infosys
  • InfoVista
  • Inmanta
  • Innovile
  • InnoWireless
  • Intel Corporation
  • InterDigital
  • Intracom Telecom
  • Inventec Corporation
  • ISCO International
  • IS-Wireless
  • ITRI (Industrial Technology Research Institute, Taiwan)
  • JMA Wireless
  • JRC (Japan Radio Company)
  • Juniper Networks
  • KDDI Corporation
  • Key Bridge Wireless
  • Keysight Technologies
  • Kleos
  • KMW
  • KPN
  • Kumu Networks
  • Kuzey Kibris Turkcell
  • Kyivstar
  • Lemko Corporation
  • Lenovo
  • Lextrum
  • Liberty Global
  • life:)/BeST (Belarusian Telecommunications Network)
  • lifecell Ukraine
  • Lime Microsystems
  • Linux Foundation
  • LIONS Technology
  • LITE-ON Technology Corporation
  • LS telcom
  • LTT (Libya Telecom & Technology)
  • LuxCarta
  • MantisNet
  • Marvell Technology
  • Mavenir
  • MegaFon
  • Meta Connectivity
  • MicroNova
  • Microsoft Corporation
  • MikroTik
  • MitraStar Technology
  • MYCOM OSI
  • Nash Technologies
  • NEC Corporation
  • Net AI
  • Netcracker Technology
  • NETSCOUT Systems
  • Netsia
  • New H3C Technologies
  • New Postcom Equipment
  • Nextivity
  • NGMN Alliance
  • Node-H
  • Nokia
  • NTT DoCoMo
  • NuRAN Wireless
  • Nutaq Innovation
  • NXP Semiconductors
  • Oceus Networks
  • Omnitele
  • ONF (Open Networking Foundation)
  • OnGo Alliance
  • Ooredoo
  • Ooredoo Algeria
  • Ooredoo Tunisia
  • Opanga Networks
  • Openet
  • Opticoms
  • Optus (Singtel)
  • O-RAN Alliance
  • Orange
  • Orange Spain
  • OSA (OpenAirInterface Software Alliance)
  • P.I. Works
  • Parallel Wireless
  • Phluido
  • Picocom
  • Pivotal Commware
  • PLDT
  • Polte
  • Potevio
  • QNAP Systems
  • Qualcomm
  • Quanta Computer
  • Qucell Networks
  • RADCOM
  • Radisys
  • Rakuten Mobile
  • Rakuten Symphony
  • Ranplan Wireless
  • Red Hat
  • RED Technologies
  • Redline Communications
  • Reliance Industries
  • RIMEDO Labs
  • Rivada Networks
  • Rohde & Schwarz
  • Ruijie Networks
  • RunEL
  • SageRAN (Guangzhou SageRAN Technology)
  • Saguna Networks
  • Samji Electronics
  • Samsung
  • Sandvine
  • SCF (Small Cell Forum)
  • Sercomm Corporation
  • Shyam Group
  • Signalwing
  • Siklu
  • Singtel
  • SIRADEL
  • SK Telecom
  • Skyvera (TelcoDR)
  • Smart Communications
  • Smartfren
  • SOLiD
  • Sooktha
  • Spectrum Effect
  • SSC (Shared Spectrum Company)
  • Star Solutions
  • STC (Saudi Telecom Company)
  • STL (Sterlite Technologies Ltd.)
  • Subex
  • Sunwave Communications
  • Systemics-PAB
  • T&W (Shenzhen Gongjin Electronics)
  • Tarana Wireless
  • TCS (Tata Consultancy Services)
  • Tech Mahindra
  • Tecore Networks
  • Telecom Argentina
  • Telefónica Germany
  • Telefónica Group
  • Telkomsel
  • Telrad Networks
  • Telstra
  • TEOCO
  • Thales
  • ThinkRF
  • TI (Texas Instruments)
  • TietoEVRY
  • TIM (Telecom Italia Mobile)
  • TIM Brasil
  • TIP (Telecom Infra Project)
  • TPG Telecom
  • Trópico
  • TSDSI (Telecommunications Standards Development Society, India)
  • Tsinghua Unigroup
  • TTA (Telecommunications Technology Association, South Korea)
  • TTC (Telecommunication Technology Committee, Japan)
  • TTG International
  • Tupl
  • Turkcell
  • ULAK Communication
  • Unizyx Holding Corporation
  • Vasona Networks
  • Vavitel (Shenzhen Vavitel Technology)
  • Verizon Communications
  • VEON
  • VHT (Viettel High Tech)
  • Vi (Vodafone Idea)
  • VIAVI Solutions
  • Virgin Media O2
  • VMware
  • VNC (Virtual NetCom)
  • VNL (Vihaan Networks Limited)
  • Vodafone Germany
  • Vodafone Group
  • Vodafone Ireland
  • Vodafone Italy
  • Vodafone Türkiye
  • WBA (Wireless Broadband Alliance)
  • WDNA (Wireless DNA)
  • WebRadar
  • Wind River Systems
  • WInnForum (Wireless Innovation Forum)
  • Wipro
  • Wireless Telecom Group
  • Wistron Corporation
  • Wiwynn
  • WNC (Wistron NeWeb Corporation)
  • XCOM Labs
  • Xingtera
  • Zain Group
  • Zain Saudi Arabia (Zain KSA)
  • ZaiNar
  • Z-Com
  • Zeetta Networks
  • ZTE
  • Zyxel

COUNTRIES COVERED:

  • Afghanistan
  • Albania
  • Algeria
  • Andorra
  • Angola
  • Anguilla
  • Antigua & Barbuda
  • Argentina
  • Armenia
  • Aruba
  • Australia
  • Austria
  • Azerbaijan
  • Bahamas
  • Bahrain
  • Bangladesh
  • Barbados
  • Belarus
  • Belgium
  • Belize
  • Benin
  • Bermuda
  • Bhutan
  • Bolivia
  • Bosnia Herzegovina
  • Botswana
  • Brazil
  • British Virgin Islands
  • Brunei
  • Bulgaria
  • Burkina Faso
  • Burundi
  • Cambodia
  • Cameroon
  • Canada
  • Cape Verde
  • Cayman Islands
  • Central African Republic
  • Chad
  • Chile
  • China
  • Cocos Islands
  • Colombia
  • Comoros Islands
  • Congo
  • Cook Islands
  • Costa Rica
  • Côte d'Ivoire
  • Croatia
  • Cuba
  • Cyprus
  • Czech Republic
  • Democratic Rep of Congo (ex-Zaire)
  • Denmark
  • Djibouti
  • Dominica
  • Dominican Republic
  • East Timor
  • Ecuador
  • Egypt
  • El Salvador
  • Equatorial Guinea
  • Eritrea
  • Estonia
  • Ethiopia
  • Faroe Islands
  • Federated States of Micronesia
  • Fiji
  • Finland
  • France
  • French Guiana
  • French Polynesia (ex-Tahiti)
  • French West Indies
  • Gabon
  • Gambia
  • Georgia
  • Germany
  • Ghana
  • Gibraltar
  • Greece
  • Greenland
  • Grenada
  • Guam
  • Guatemala
  • Guernsey
  • Guinea Republic
  • Guinea-Bissau
  • Guyana
  • Haiti
  • Honduras
  • Hong Kong
  • Hungary
  • Iceland
  • India
  • Indonesia
  • Iran
  • Iraq
  • Ireland
  • Isle of Man
  • Israel
  • Italy
  • Jamaica
  • Japan
  • Jersey
  • Jordan
  • Kazakhstan
  • Kenya
  • Kirghizstan
  • Kiribati
  • Korea
  • Kosovo
  • Kuwait
  • Laos
  • Latvia
  • Lebanon
  • Lesotho
  • Liberia
  • Libya
  • Liechtenstein
  • Lithuania
  • Luxembourg
  • Macau
  • Macedonia
  • Madagascar
  • Malawi
  • Malaysia
  • Maldives
  • Mali
  • Malta
  • Marshall Islands
  • Mauritania
  • Mauritius
  • Mayotte
  • Mexico
  • Moldova
  • Monaco
  • Mongolia
  • Montenegro
  • Montserrat
  • Morocco
  • Mozambique
  • Myanmar
  • Namibia
  • Nepal
  • Netherlands
  • Netherlands Antilles
  • New Caledonia
  • New Zealand
  • Nicaragua
  • Niger
  • Nigeria
  • Niue
  • North Korea
  • Northern Marianas
  • Norway
  • Oman
  • Pakistan
  • Palau
  • Palestine
  • Panama
  • Papua New Guinea
  • Paraguay
  • Peru
  • Philippines
  • Poland
  • Portugal
  • Puerto Rico
  • Qatar
  • Réunion
  • Romania
  • Russia
  • Rwanda
  • Samoa
  • Samoa (American)
  • Sao Tomé & Principe
  • Saudi Arabia
  • Senegal
  • Serbia
  • Seychelles
  • Sierra Leone
  • Singapore
  • Slovak Republic
  • Slovenia
  • Solomon Islands
  • Somalia
  • South Africa
  • Spain
  • Sri Lanka
  • St Kitts & Nevis
  • St Lucia
  • St Vincent & The Grenadines
  • Sudan
  • Suriname
  • Swaziland
  • Sweden
  • Switzerland
  • Syria
  • Tajikistan
  • Taiwan
  • Tanzania
  • Thailand
  • Togo
  • Tonga
  • Trinidad & Tobago
  • Tunisia
  • Turkey
  • Turkmenistan
  • Turks & Caicos Islands
  • UAE
  • Uganda
  • UK
  • Ukraine
  • Uruguay
  • US Virgin Islands
  • USA
  • Uzbekistan
  • Vanuatu
  • Venezuela
  • Vietnam
  • Yemen
  • Zambia
  • Zimbabwe