SON (Self-Organizing Networks) in the 5G & Open RAN Era: 2022 – 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.
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.
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.
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
5.1.2.2 Release
5.1.2.3 Release
5.1.2.4 Release
5.1.2.5 Release
5.1.2.6 Releases 13 &
5.1.3 5G NR SON Features
5.1.3.1 Release
5.1.3.2 Release
5.1.3.3 Release
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 Telef?nica 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 Am?rica M?vil: 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 Tr?pico (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
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
5.1.2.2 Release
5.1.2.3 Release
5.1.2.4 Release
5.1.2.5 Release
5.1.2.6 Releases 13 &
5.1.3 5G NR SON Features
5.1.3.1 Release
5.1.3.2 Release
5.1.3.3 Release
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 Telef?nica 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 Am?rica M?vil: 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 Tr?pico (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: Telef?nica'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
Am?rica M?vil
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 K?br?s 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
Telef?nica Germany
Telef?nica Group
Telkomsel
Telrad Networks
Telstra
TEOCO
Thales
ThinkRF
TI (Texas Instruments)
TietoEVRY
TIM (Telecom Italia Mobile)
TIM Brasil
TIP (Telecom Infra Project)
TPG Telecom
Tr?pico
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 T?rkiye
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
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: Telef?nica'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
Am?rica M?vil
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
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 K?br?s 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
Telef?nica Germany
Telef?nica Group
Telkomsel
Telrad Networks
Telstra
TEOCO
Thales
ThinkRF
TI (Texas Instruments)
TietoEVRY
TIM (Telecom Italia Mobile)
TIM Brasil
TIP (Telecom Infra Project)
TPG Telecom
Tr?pico
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 T?rkiye
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
