
SON (Self-Organizing Networks) in the 5G & Open RAN Era: 2022 – 2030 – Opportunities, Challenges, Strategies & Forecasts
Description
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.
Table of Contents
443 Pages
- Chapter 1: Introduction
- Executive Summary
- Topics Covered
- Forecast Segmentation
- Key Questions Answered
- Key Findings
- Methodology
- Target Audience
- Companies & Organizations Mentioned
- Chapter 2: SON & Mobile Network Optimization Ecosystem
- Conventional Mobile Network Optimization
- Network Planning
- Measurement Collection: Drive Tests, Probes & End User Data
- Post-Processing, Optimization & Policy Enforcement
- The SON (Self-Organizing Network) Concept
- What is SON?
- The Need for SON
- Functional Areas of SON
- Self-Configuration
- Self-Optimization
- Self-Healing
- Self-Protection
- Self-Learning
- SON Value Chain
- SON, xApp/rApp & Automation Specialists
- OSS & RIC Platform Providers
- RAN, Core & Transport Network Equipment Suppliers
- Wireless Service Providers
- National Mobile Operators
- Fixed-Line Service Providers
- Private 4G/5G Network Operators
- Neutral Hosts
- End Users
- Consumers
- Enterprises & Vertical Industries
- Other Ecosystem Players
- Market Drivers
- The 5G & Open RAN Era: Continued Infrastructure Investments
- Optimization in Complex Multi-RAN Environments
- OpEx & CapEx Reduction: The Cost Savings Potential
- Improving Subscriber Experience & Churn Reduction
- Power Savings: Towards Greener Mobile Networks
- Alleviating Congestion With Traffic Management
- Enabling Plug & Play Deployment of Small Cells
- Growing Adoption of Private 4G/5G Networks
- Market Barriers
- Complexity of Implementation
- Reorganization & Changes to Standard Engineering Procedures
- Lack of Trust in Automation
- Proprietary SON Algorithms
- Coordination Between Distributed & Centralized SON
- Network Security Concerns: New Interfaces & Lack of Monitoring
- Chapter 3: SON Technology, Implementation Architectures & Use Cases
- Where Does SON Sit Within a Mobile Network?
- RAN
- Mobile Core
- Transport (Fronthaul, Midhaul & Backhaul)
- Device-Assisted SON
- Traditional SON Architecture
- D-SON (Distributed SON)
- C-SON (Centralized SON)
- H-SON (Hybrid SON)
- Open Standards-Compliant RIC, xApps & rApps
- RIC (RAN Intelligent Controller)
- Near-RT (Real-Time) RIC
- Non-RT (Real-Time) RIC
- xApps: Open D-SON Applications
- rApps: Open C-SON Applications
- SON Use Cases
- RAN-Centric Use Cases
- ANR (Automatic Neighbor Relations)
- CNR (Centralized Neighbor Relations)
- PCI (Physical Cell ID) Allocation & Conflict Resolution
- CCO (Coverage & Capacity Optimization)
- MRO (Mobility Robustness Optimization)
- MLB (Mobility Load Balancing)
- RACH (Random Access Channel) Optimization
- ICIC (Inter-Cell Interference Coordination) & eICIC (Enhanced ICIC)
- COD/COC (Cell Outage Detection & Compensation)
- MDT (Minimization of Drive Tests)
- Advanced Traffic Steering
- Automated Anomaly Detection
- Massive MIMO & Beamforming Optimization
- 4G-5G Dual Connectivity Management
- RAN Slice Management
- DSS (Dynamic Spectrum Sharing)
- Frequency Layer Management
- BBU (Baseband Unit) Resource Pooling
- Radio Resource Allocation for Complex Vertical Applications
- Handover Management in V2X Communications Scenarios
- Rapid Plug & Play Configuration of Small Cells
- DAS (Distributed Antenna System) Optimization
- Multi-Domain, Core & Transport-Related Use Cases
- Self-Configuration & Testing of Network Elements
- Domain Connectivity Management
- Automated Inventory Checks
- AIC (Automated Inconsistency Correction)
- Self-Healing of Network Faults
- Signaling Storm Protection
- Energy Efficiency & Savings
- QoS & QoE-Based Optimization
- Congestion Prediction & Management
- AI-Enabled Performance Diagnostics
- Industrial IoT Optimization
- Core Network Automation
- Network Slicing Resource Allocation
- Optimization of VNFs & CNFs
- Auto-Provisioning of Transport Links
- Transport Network Bandwidth Optimization
- Wireless Transport Interference Management
- Seamless Vendor Infrastructure Swap
- SON Coordination Management
- Cognitive & Self-Learning Networks
- Chapter 4: Key Trends in Next-Generation SON Implementations
- Open RAN & vRAN (Virtualized RAN) Architectures
- Enabling RAN Automation & Intelligence With RIC, xApps & rApps
- Small Cells, HetNets & RAN Densification
- Plug & Play Small Cells
- SON-Enabled Coordination of UDNs (Ultra-Dense Networks)
- Shared & Unlicensed Spectrum
- Dynamic Management of Spectrum Using SON
- MEC (Multi-Access Edge Computing)
- Potential Synergies With SON
- Network Slicing
- SON Mechanisms for Network Slicing in 5G Networks
- Big Data & Advanced Analytics
- Maximizing the Benefits of SON With Big Data
- The Importance of Predictive & Behavioral Analytics
- AI (Artificial Intelligence) & ML (Machine Learning)
- Towards Self-Learning SON Engines
- Deep Learning: Enabling Zero-Touch Mobile Networks
- NFV (Network Functions Virtualization)
- Enabling SON-Driven Deployment of VNFs & CNFs
- SDN (Software-Defined Networking) & Programmability
- Using the SDN Controller as a Platform for SON in Transport Networks
- Cloud Computing
- Facilitating C-SON Scalability & Elasticity
- Other Trends & Complementary Technologies
- Private 4G/5G Networks
- FWA (Fixed Wireless Access)
- DPI (Deep Packet Inspection)
- Digital Security for Self-Protection
- SON Capabilities for IoT Applications
- User-Based Profiling & Optimization for Vertical 5G Applications
- Addressing D2D (Device-to-Device) Communications & New Use Cases
- Chapter 5: Standardization, Regulatory & Collaborative Initiatives
- 3GPP (Third Generation Partnership Project)
- 3GPP Standardization of SON Capabilities
- LTE SON Features
- Release 8
- Release 9
- Release 10
- Release 11
- Release 12
- Releases 13 & 14
- 5G NR SON Features
- Release 15
- Release 16
- Release 17
- Release 18 & Beyond
- Implementation Approach for 3GPP-Specified SON Features
- O-RAN Alliance
- Open RAN RIC Architecture Specifications
- xApp & rApp Use Cases
- OSA (OpenAirInterface Software Alliance)
- M5G (MOSAIC5G) Project: Flexible RAN & Core Controllers
- TIP (Telecom Infra Project)
- RIA (RAN Intelligence & Automation) Project
- ONF (Open Networking Foundation)
- SD-RAN Project: Near Real-Time RIC & Exemplar xApps
- Linux Foundation's ONAP (Open Network Automation Platform)
- OOF (ONAP Optimization Framework)-SON for 5G Networks
- Interface Support for Open RAN RIC Integration
- SCF (Small Cell Forum)
- 4G/5G Small Cell SON & Orchestration
- OSSii (Operations Support Systems Interoperability Initiative)
- Enabling Multi-Vendor SON Interoperability
- NGMN Alliance
- Conception of the SON Initiative
- Recommendations for Multi-Vendor SON Deployment
- SON Capabilities for 5G Network Deployment, Operation & Management
- Others
- Chapter 6: SON Deployment Case Studies
- AT&T
- Vendor Selection
- SON Deployment Review
- Results & Future Plans
- Bell Canada
- Vendor Selection
- SON Deployment Review
- Results & Future Plans
- Bharti Airtel
- Vendor Selection
- SON Deployment Review
- Results & Future Plans
- BT Group
- Vendor Selection
- SON Deployment Review
- Results & Future Plans
- China Mobile
- Vendor Selection
- SON Deployment Review
- Results & Future Plans
- Elisa
- Vendor Selection
- SON Deployment Review
- Results & Future Plans
- Globe Telecom
- Vendor Selection
- SON Deployment Review
- Results & Future Plans
- KDDI Corporation
- Vendor Selection
- SON Deployment Review
- Results & Future Plans
- MegaFon
- Vendor Selection
- SON Deployment Review
- Results & Future Plans
- NTT DoCoMo
- Vendor Selection
- SON Deployment Review
- Results & Future Plans
- Ooredoo
- Vendor Selection
- SON Deployment Review
- Results & Future Plans
- Orange
- Vendor Selection
- SON Deployment Review
- Results & Future Plans
- Singtel
- Vendor Selection
- SON Deployment Review
- Results & Future Plans
- SK Telecom
- Vendor Selection
- SON Deployment Review
- Results & Future Plans
- Telecom Argentina
- Vendor Selection
- SON Deployment Review
- Results & Future Plans
- Telefónica Group
- Vendor Selection
- SON Deployment Review
- Results & Future Plans
- TIM (Telecom Italia Mobile)
- Vendor Selection
- SON Deployment Review
- Results & Future Plans
- Turkcell
- Vendor Selection
- SON Deployment Review
- Results & Future Plans
- Verizon Communications
- Vendor Selection
- SON Deployment Review
- Results & Future Plans
- Vodafone Group
- Vendor Selection
- SON Deployment Review
- Results & Future Plans
- Other Recent Deployments & Ongoing Projects
- beCloud (Belarusian Cloud Technologies): AI-Enabled Network Automation & Performance Management
- Beeline Russia: Transforming the Mobile Experience Using C-SON Technology
- Betacom: Accelerating Enterprise Private 5G Adoption With RAN Automation
- BTC (Botswana Telecommunications Corporation): SON for Nationwide Network Optimization
- Celona: Self-Organizing 5G LAN Solution for Enterprises
- América Móvil: Accelerating 5G Rollouts Through SON-Based Automation
- DISH Network Corporation: RIC-Based Custom RAN Programmability & Intelligence
- DT (Deutsche Telekom): Berlin SD-RAN 4G/5G Outdoor Field Trial
- KPN: SON-Driven Automation for Network Optimization
- Kyivstar: Leveraging C-SON to Enhance Network Performance
- Liberty Global: Building a Customer-First Network
- LTT (Libya Telecom & Technology): Nationwide RAN Automation
- NEC Corporation: Self-Learning Local 5G Networks
- Opticoms: Optimizing Open RAN-Compliant Private 5G Networks
- Rakuten Mobile: Embedded RIC for RAN Automation Applications
- Smart Communications (PLDT): Enabling Multi-Vendor 4G/5G Network Automation
- Smartfren: Facilitating Network Densification & HetNet Management With C-SON Technology
- STC (Saudi Telecom Company): Automating Network Operations & Driving 5G Transformation
- Telkomsel: SON-Enabled Automated Network Optimization
- Telstra: Boosting Mobile Network Automation
- Zain Group: SON for Performance Enhancement
- Chapter 7: Key Ecosystem Players
- 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
- Node-H
- Nokia
- NuRAN Wireless
- NXP Semiconductors
- Oceus Networks
- Omnitele
- Opanga Networks
- Openet (Amdocs)
- P.I. Works
- Parallel Wireless
- Phluido
- Picocom
- Pivotal Commware
- Polte
- Potevio (CETC – China Electronics Technology Group Corporation)
- Qualcomm
- Quanta Computer
- Qucell Networks (InnoWireless)
- RADCOM
- Radisys (Reliance Industries)
- Rakuten Symphony
- Ranplan Wireless
- Red Hat (IBM)
- RED Technologies
- RIMEDO Labs
- Rivada Networks
- Rohde & Schwarz
- Ruijie Networks
- RunEL
- SageRAN (Guangzhou SageRAN Technology)
- Saguna Networks (COMSovereign)
- Samji Electronics
- Samsung
- Sandvine
- Sercomm Corporation
- Signalwing
- Siklu
- SIRADEL
- Skyvera (TelcoDR)
- SOLiD
- Sooktha
- Spectrum Effect
- SSC (Shared Spectrum Company)
- Star Solutions
- STL (Sterlite Technologies Ltd.)
- Subex
- Sunwave Communications
- Systemics-PAB
- T&W (Shenzhen Gongjin Electronics)
- Tarana Wireless
- TCS (Tata Consultancy Services)
- Tech Mahindra
- Tecore Networks
- Telrad Networks
- TEOCO
- ThinkRF
- TI (Texas Instruments)
- TietoEVRY
- Trópico (CPQD – Center for Research and Development in Telecommunications, Brazil)
- TTG International
- Tupl
- ULAK Communication
- Vavitel (Shenzhen Vavitel Technology)
- VHT (Viettel High Tech)
- VIAVI Solutions
- VMware
- VNC – Virtual NetCom (COMSovereign)
- VNL – Vihaan Networks Limited (Shyam Group)
- WDNA (Wireless DNA)
- WebRadar
- Wind River Systems
- Wipro
- Wiwynn (Wistron Corporation)
- WNC (Wistron NeWeb Corporation)
- XCOM Labs
- Xingtera
- ZaiNar
- Z-Com
- Zeetta Networks
- ZTE
- Zyxel (Unizyx Holding Corporation)
- Chapter 8: Market Sizing & Forecasts
- SON & Mobile Network Optimization Revenue
- SON Revenue
- SON Revenue by Network Segment
- RAN
- Mobile Core
- Transport (Fronthaul, Midhaul & Backhaul)
- RAN Segment SON Revenue by Architecture: Traditional SON vs. Open RAN RIC, xApps & rApps
- Traditional D-SON & C-SON
- Embedded D-SON Features
- Third Party C-SON & OSS Platforms
- Open RAN RIC, xApps & rApps
- RIC Platforms
- Near Real-Time xApps
- Non Real-Time rApps
- Mobile Operators' In-House SON Tools & Systems
- SON Revenue by Access Network Technology
- 2G & 3G
- LTE
- 5G NR
- Wi-Fi & Others
- SON Revenue by Region
- Conventional Mobile Network Planning & Optimization Revenue
- Conventional Mobile Network Planning & Optimization Revenue by Region
- North America
- SON
- Conventional Mobile Network Planning & Optimization
- Asia Pacific
- SON
- Conventional Mobile Network Planning & Optimization
- Europe
- SON
- Conventional Mobile Network Planning & Optimization
- Middle East & Africa
- SON
- Conventional Mobile Network Planning & Optimization
- Latin & Central America
- SON
- Conventional Mobile Network Planning & Optimization
- Chapter 9: Conclusion & Strategic Recommendations
- Why is the Market Poised to Grow?
- Future Roadmap: 2022 – 2030
- 2022 – 2025: Transition From Traditional SON to RIC Platforms, xApps & rApps
- 2026 – 2029: Commercial Maturity of Advanced AI/ML-Based SON Implementations
- 2030 & Beyond: Towards Zero-Touch 5G & 6G Network Automation
- Competitive Industry Landscape: Acquisitions, Alliances & Consolidation
- The C-SON Versus D-SON Debate
- Evaluating the Practical Benefits of SON
- Prospects of Open RAN Standards-Compliant RIC Platforms, xApps & rApps
- End-to-End SON: From the RAN to the Core & Transport Domains
- Growing Adoption of SON Capabilities for Wi-Fi & Non-3GPP Access Technologies
- The Importance of AI & ML-Driven SON Algorithms
- Improving End User Experience With QoE-Based Optimization
- Enabling Network Slicing & Advanced 5G Capabilities
- Greater Focus on Self-Protection
- Addressing IoT Optimization
- Managing Shared & Unlicensed Spectrum
- Easing the Deployment of Private 4G/5G Networks
- Assessing the Impact of SON on Optimization & Field Engineers
- Strategic Recommendations
- SON Solution Providers
- Mobile Operators
- 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)
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