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SON (Self-Organizing Networks) in the 5G Era: 2019 – 2030 – Opportunities, Challenges, Strategies & Forecasts


Report Details

SON (Self-Organizing Networks) in the 5G Era: 2019 – 2030 – Opportunities, Challenges, Strategies & Forecasts

SKU SNS19SEPT1801
Category ICT
Publisher SNS Telecom
Pages 367
Published Sep-18
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Description

SON technology are expected to grow at a CAGR of approximately 11% between 2019 and 2022. By the end of 2022, SON will account for a market worth $5.5 Billion.

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

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

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

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

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

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

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

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

Mobile Network Optimization
- SON
- Conventional Mobile Network Planning & Optimization

SON Network Segment Submarkets
- RAN (Radio Access Network)
- Mobile Core
- Transport (Backhaul & Fronthaul)

SON Architecture Submarkets
- C-SON (Centralized SON)
- D-SON (Distributed SON)
- SON Access Network Technology Submarkets
- 2G & 3G
- LTE
- 5G
- Wi-Fi & Others

Regional Markets
- Asia Pacific
- Eastern Europe
- Latin & Central America
- Middle East & Africa
- North America
- Western Europe

Key Questions Answered
The report provides answers to the following key questions:
- How big is the SON opportunity?
- What trends, challenges and barriers are influencing its growth?
- How is the ecosystem evolving by segment and region?
- What will the market size be in 2022, and at what rate will it grow?
- Which regions and countries will see the highest percentage of growth?
- How do SON investments compare with spending on traditional mobile network optimization?
- What are the practical, quantifiable benefits of SON – based on live, commercial deployments?
- How can mobile operators capitalize on SON to ensure optimal network performance, improve customer experience, reduce costs, and drive revenue growth?
- What is the status of C-SON and D-SON adoption worldwide?
- What are the prospects of artificial intelligence in SON and mobile network automation?
- What opportunities exist for SON in mobile core and transport networks?
- How can SON ease the deployment of unlicensed and private LTE/5G-ready networks?
- What SON capabilities will 5G networks entail?
- How does SON impact mobile network optimization engineers?
- What is the global and regional outlook for SON associated OpEx savings?
- Who are the key ecosystem players, and what are their strategies?
- What strategies should SON solution providers and mobile operators adopt to remain competitive?

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

key Topics
SON (Self-Organizing Network), LTE, LTE-Advanced, 5G, RAN Planning & Optimization, RAN Analytics, HetNet Optimization, Wi-Fi Optimization, Network Slicing, Zero-Touch Automation, Artificial Intelligence, Machine Learning, RAN, Mobile Core, Transport, Fronthaul, HetNet, Small Cells, C-RAN, Cloud RAN, Unlicensed/Shared Spectrum


News/Press Release

Table of Content

Table of Contents
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 and 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
Market Drivers for SON Adoption
The 5G Era: Continued Mobile Network Infrastructure Investments
Optimization in Multi-RAN & HetNet Environments
OpEx & CapEx Reduction: The Cost Savings Potential
Improving Subscriber Experience and Churn Reduction
Power Savings: Towards Green Mobile Networks
Alleviating Congestion with Traffic Management
Enabling Large-Scale Small Cell Rollouts
Growing Adoption of Private LTE & 5G-Ready Networks
Market Barriers for SON Adoption
Complexity of Implementation
Reorganization & Changes to Standard Engineering Procedures
Lack of Trust in Automation
Proprietary SON Algorithms
Coordination Between Distributed and Centralized SON
Network Security Concerns: New Interfaces and Lack of Monitoring

Chapter 3: SON Technology, Use Cases & Implementation Architectures
Where Does SON Sit Within a Mobile Network?
RAN
Mobile Core
Transport (Backhaul & Fronthaul)
Device-Assisted SON
SON Architecture
C-SON (Centralized SON)
D-SON (Distributed SON)
H-SON (Hybrid SON)
SON Use-Cases
Self-Configuration of Network Elements
Automatic Connectivity Management
Self-Testing of Network Elements
Self-Recovery of Network Elements/Software
Self-Healing of Board Faults
Automatic Inventory
ANR (Automatic Neighbor Relations)
PCI (Physical Cell ID) Configuration
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)
Energy Savings
COD/COC (Cell Outage Detection & Compensation)
MDT (Minimization of Drive Tests)
AAS (Adaptive Antenna Systems) & Massive MIMO
Millimeter Wave Links in 5G NR (New Radio) Networks
Self-Configuration & Optimization of Small Cells
Optimization of DAS (Distributed Antenna Systems)
RAN Aware Traffic Shaping
Traffic Steering in HetNets
Optimization of NFV-Based Networking
Auto-Provisioning of Transport Links
Transport Network Bandwidth Optimization
Transport Network Interference Management
Self-Protection
SON Coordination Management
Seamless Vendor Infrastructure Swap
Dynamic Spectrum Management & Allocation
Network Slice Optimization
Cognitive & Self-Learning Networks

Chapter 4: Key Trends in Next-Generation LTE & 5G SON Implementations
Big Data & Advanced Analytics
Maximizing the Benefits of SON with Big Data
The Importance of Predictive & Behavioral Analytics
Artificial Intelligence & Machine Learning
Towards Self-Learning SON Engines with Machine Learning
Deep Learning: Enabling "Zero-Touch" Mobile Networks
NFV (Network Functions Virtualization)
Enabling the SON-Driven Deployment of VNFs (Virtualized Network Functions)
SDN (Software Defined Networking) & Programmability
Using the SDN Controller as a Platform for SON in Transport Networks
Cloud Computing
Facilitating C-SON Scalability & Elasticity
Small Cells, HetNets & RAN Densification
Plug & Play Small Cells
Coordinating UDNs (Ultra Dense Networks) with SON
C-RAN (Centralized RAN) & Cloud RAN
Efficient Resource Utilization in C-RAN Deployments with SON
Unlicensed & Shared Spectrum Usage
Dynamic Management of Spectrum with SON
MEC (Multi-Access Edge Computing)
Potential Synergies with SON
Network Slicing
Use of SON Mechanisms for Network Slicing in 5G Networks
Other Trends & Complementary Technologies
Alternative Carrier/Private LTE & 5G-Ready 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)
Standardization of SON Capabilities for 3GPP Networks
Release 8
Release 9
Release 10
Release 11
Release 12
Releases 13 & 14
Releases 15, 16 & Beyond
Implementation Approach for 3GPP-Specified SON Features
NGMN Alliance
Conception of the SON Initiative
Functional Areas and Requirements
Implementation Approach: Focus on H-SON
Recommendations for Multi-Vendor SON Deployment
SON Capabilities for 5G Network Deployment, Operation & Management
ETSI (European Telecommunications Standards Institute)
ENI ISG (Experiential Networked Intelligence Industry Specification Group)
Linux Foundation's ONAP (Open Network Automation Platform)
ONAP Support for SON in 5G Networks
OSSii (Operations Support Systems Interoperability Initiative)
Enabling Multi-Vendor SON Interoperability
Small Cell Forum
Release 7: Focus on SON for Small Cells
SON API
X2 Interoperability
WBA (Wireless Broadband Alliance)
SON Integration in Carrier Wi-Fi Guidelines
CableLabs
Wi-Fi RRM (Radio Resource Management)/SON
5G PPP (5G Infrastructure Public Private Partnership) & European Union Projects
SELFNET (Framework for Self-Organized Network Management in Virtualized and Software Defined Networks)
SEMAFOUR (Self-Management for Unified Heterogeneous Radio Access Networks)
SOCRATES (Self-Optimization and Self-Configuration in Wireless Networks)
COGNET (Building an Intelligent System of Insights and Action for 5G Network Management)

Chapter 6: SON Deployment Case Studies
AT&T
Vendor Selection
SON Deployment Review
Results & Future Plans
BCE (Bell Canada)
Vendor Selection
SON Deployment Review
Results & Future Plans
Bharti Airtel
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
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
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

Chapter 7: Future Roadmap & Value Chain
Future Roadmap
Pre-2020: Addressing Customer QoE, Network Densification & Early 5G Rollouts
2020 – 2025: Towards Advanced Machine Learning Based SON Implementations
2025 – 2030: Enabling Near Zero-Touch & Automated 5G Networks
Value Chain
Embedded Technology Ecosystem
Chipset Developers
Embedded Component/Software Providers
RAN Ecosystem
Macrocell RAN OEMs
Pure-Play Small Cell OEMs
Wi-Fi Access Point OEMs
DAS & Repeater Solution Providers
C-RAN Solution Providers
Other Technology Providers
Transport Networking Ecosystem
Backhaul & Fronthaul Solution Providers
Mobile Core Ecosystem
Mobile Core Solution Providers
Connectivity Ecosystem
Mobile Operators
Wi-Fi Connectivity Providers
SCaaS (Small-Cells-as-a-Service) Providers
SON Ecosystem
SON Solution Providers
SDN & NFV Ecosystem
SDN & NFV Providers
MEC Ecosystem
MEC Specialists

Chapter 8: Key Ecosystem Players
Accedian Networks
Accelleran
AirHop Communications
Airspan Networks
Allot Communications
Alpha Networks
Altiostar Networks
Altran/Aricent
Alvarion Technologies/SuperCom
Amdocs
Anritsu Corporation
Arcadyan Technology Corporation
Argela/Netsia
Artemis Networks
Artiza Networks
ASOCS
ASUS (ASUSTeK Computer)
ATDI
Baicells Technologies
Benu Networks
BoostEdge
Broadcom
Casa Systems
CBNL (Cambridge Broadband Networks Limited)
CCI (Communication Components, Inc.)/BLiNQ Networks
CCS (Cambridge Communication Systems)
CellOnyx
Cellwize
CelPlan Technologies
Celtro
Cisco Systems
Citrix Systems
Collision Communications
Comarch
CommAgility
CommScope
CommProve
Contela
Continual
Coriant
Corning/SpiderCloud Wireless
Datang Mobile
Dell Technologies
Digitata
D-Link Corporation
ECE (European Communications Engineering)
EDX Wireless
Elisa Automate
Empirix
Equiendo
Ercom
Ericsson
ETRI (Electronics & Telecommunications Research Institute, South Korea)
EXFO/Astellia
Facebook
Fairspectrum
Federated Wireless
Flash Networks
Forsk
Fujian Sunnada Network Technology
Fujitsu
Galgus
Gemtek Technology
General Dynamics Mission Systems
GenXComm
GoNet Systems
Google/Alphabet
Guavus/Thales
GWT (Global Wireless Technologies)
HCL Technologies
Hitachi
Huawei
iBwave Solutions
InfoVista
Innovile
InnoWireless/Qucell/Accuver
Intel Corporation
InterDigital
Intracom Telecom
ip.access
ITRI (Industrial Technology Research Institute, Taiwan)
JRC (Japan Radio Company)
Juni Global
Juniper Networks
Keima
Key Bridge
Keysight Technologies/Ixia
Kleos
Koonsys Radiocommunications
Kumu Networks
Lemko Corporation
Linksys
LS telcom
Luminate Wireless
LuxCarta
Marvell Technology Group/Cavium
Mavenir Systems
Mimosa Networks
MitraStar Technology Corporation
Mojo Networks/Arista Networks
Mosaik
Nash Technologies
NEC Corporation
NetScout Systems
New Postcom Equipment Company
Node-H
Nokia Networks
Nomor Research
NuRAN Wireless/Nutaq Innovation
NXP Semiconductors
Oceus Networks
P.I.Works
Parallel Wireless
Persistent Systems
PHAZR
Phluido
Polystar
Potevio
Qualcomm
Quanta Computer
RADCOM
Radisys Corporation/Reliance Industries
Ranplan Wireless Network Design
RED Technologies
Redline Communications
Rivada Networks
Rohde & Schwarz
Ruckus Wireless/ARRIS International
Saguna Networks
Samji Electronics Company
Samsung
SEDICOM
SerComm Corporation
Seven Networks
Siklu Communication
SIRADEL
SITRONICS
SK Telesys
Spectrum Effect
Star Solutions
Systemics Group
Tarana Wireless
Tech Mahindra
Tecore Networks
TEKTELIC Communications
Telrad Networks
TEOCO Corporation
Teragence
TI (Texas Instruments)
TP-Link Technologies
TTG International
Tulinx
Vasona Networks
Viavi Solutions
VMWare
WebRadar
Wireless DNA
WNC (Wistron NeWeb Corporation)
WPOTECH
XCellAir/Fontech
Z-Com
ZTE
Zyxel Communications Corporation

Chapter 9: Market Sizing & Forecasts
SON & Mobile Network Optimization Revenue
SON Revenue
SON Revenue by Network Segment
RAN
Mobile Core
Transport (Backhaul & Fronthaul)
SON Revenue by Architecture: Centralized vs. Distributed
C-SON
D-SON
SON Revenue by Access Network Technology
2G & 3G
LTE
5G
Wi-Fi
SON Revenue by Region
Conventional Mobile Network Planning & Optimization Revenue
Conventional Mobile Network Planning & Optimization Revenue by Region
Asia Pacific
SON
Conventional Mobile Network Planning & Optimization
Eastern Europe
SON
Conventional Mobile Network Planning & Optimization
Latin & Central America
SON
Conventional Mobile Network Planning & Optimization
Middle East & Africa
SON
Conventional Mobile Network Planning & Optimization
North America
SON
Conventional Mobile Network Planning & Optimization
Western Europe
SON
Conventional Mobile Network Planning & Optimization

Chapter 10: Conclusion & Strategic Recommendations
Why is the Market Poised to Grow?
Competitive Industry Landscape: Acquisitions, Alliances & Consolidation
Evaluating the Practical Benefits of SON
End-to-End SON: Moving Towards Mobile Core and Transport Networks
Growing Adoption of SON Capabilities for Wi-Fi
The Importance of Artificial Intelligence & Machine Learning
QoE-Based SON Platforms: Optimizing End User Experience
Enabling Network Slicing & Advanced Capabilities for 5G Networks
Greater Focus on Self-Protection Capabilities
Addressing IoT Optimization
Managing Unlicensed & Shared Spectrum
Easing the Deployment of Private & Enterprise LTE/5G-Ready Networks
Assessing the Impact of SON on Optimization & Field Engineers
SON Associated OpEx Savings: The Numbers
The C-SON Versus D-SON Debate
Strategic Recommendations
SON Solution Providers
Mobile Operators

List of Figures

List of Figures
Figure 1: Functional Areas of SON within the Mobile Network Lifecycle
Figure 2: Annual Throughput of Mobile Network Data Traffic by Region: 2019 – 2030 (Exabytes)
Figure 3: Global Wireless Network Infrastructure Revenue Share by Submarket (%)
Figure 4: SON Associated OpEx & CapEx Savings by Network Segment (%)
Figure 5: Potential Areas of SON Implementation
Figure 6: Mobile Backhaul & Fronthaul Technologies
Figure 7: C-SON (Centralized SON) in a Mobile Operator Network
Figure 8: D-SON (Distributed SON) in a Mobile Operator Network
Figure 9: H-SON (Hybrid SON) in a Mobile Operator Network
Figure 10: NFV Concept
Figure 11: Transition to UDNs (Ultra-Dense Networks)
Figure 12: C-RAN Architecture
Figure 13: Conceptual Architecture for End-to-End Network Slicing in Mobile Networks
Figure 14: Comparison Between DPI & Shallow Packet Inspection
Figure 15: NGNM SON Use Cases
Figure 16: SELFNET's SON Implementation Framework
Figure 17: AT&T's SON Implementation
Figure 18: Elisa's In-House SON Solution
Figure 19: KDDI's Artificial Intelligence-Assisted Automated Network Operation System
Figure 20: Orange's Vision for Cognitive PBSM (Policy Based SON Management)
Figure 21: SK Telecom's Fast Data Platform for QoE-Based Automatic Network Optimization
Figure 22: Telefónica's SON Deployment Roadmap From 4G To 5G Rollouts
Figure 23: TIM's Open SON Architecture
Figure 24: SON Future Roadmap: 2019 – 2030
Figure 25: Wireless Network Infrastructure Value Chain
Figure 26: Global SON & Mobile Network Optimization Revenue: 2019 – 2030 ($ Million)
Figure 27: Global SON Revenue: 2019 – 2030 ($ Million)
Figure 28: Global SON Revenue by Network Segment: 2019 – 2030 ($ Million)
Figure 29: Global SON Revenue in the RAN Segment: 2019 – 2030 ($ Million)
Figure 30: Global SON Revenue in the Mobile Core Segment: 2019 – 2030 ($ Million)
Figure 31: Global SON Revenue in the Transport (Backhaul & Fronthaul) Segment: 2019 – 2030 ($ Million)
Figure 32: Global SON Revenue by Architecture: 2019 – 2030 ($ Million)
Figure 33: Global C-SON Revenue: 2019 – 2030 ($ Million)
Figure 34: Global D-SON Revenue: 2019 – 2030 ($ Million)
Figure 35: Global SON Revenue by Access Network Technology: 2019 – 2030 ($ Million)
Figure 36: Global 2G & 3G SON Revenue: 2019 – 2030 ($ Million)
Figure 37: Global LTE SON Revenue: 2019 – 2030 ($ Million)
Figure 38: Global 5G SON Revenue: 2020 - 2030 ($ Million)
Figure 39: Global Wi-Fi & Other Access Technology SON Revenue: 2019 – 2030 ($ Million)
Figure 40: SON Revenue by Region: 2019 – 2030 ($ Million)
Figure 41: Global Conventional Mobile Network Planning & Optimization Revenue: 2019 – 2030 ($ Million)
Figure 42: Conventional Mobile Network Planning & Optimization Revenue by Region: 2019 – 2030 ($ Million)
Figure 43: Asia Pacific SON Revenue: 2019 – 2030 ($ Million)
Figure 44: Asia Pacific Conventional Mobile Network Planning & Optimization Revenue: 2019 – 2030 ($ Million)
Figure 45: Eastern Europe SON Revenue: 2019 – 2030 ($ Million)
Figure 46: Eastern Europe Conventional Mobile Network Planning & Optimization Revenue: 2019 – 2030 ($ Million)
Figure 47: Latin & Central America SON Revenue: 2019 – 2030 ($ Million)
Figure 48: Latin & Central America Conventional Mobile Network Planning & Optimization Revenue: 2019 – 2030 ($ Million)
Figure 49: Middle East & Africa SON Revenue: 2019 – 2030 ($ Million)
Figure 50: Middle East & Africa Conventional Mobile Network Planning & Optimization Revenue: 2019 – 2030 ($ Million)
Figure 51: North America SON Revenue: 2019 – 2030 ($ Million)
Figure 52: North America Conventional Mobile Network Planning & Optimization Revenue: 2019 – 2030 ($ Million)
Figure 53: Western Europe SON Revenue: 2019 – 2030 ($ Million)
Figure 54: Western Europe Conventional Mobile Network Planning & Optimization Revenue: 2019 – 2030 ($ Million)
Figure 55: SON Associated OpEx Savings by Region: 2019 – 2030 ($ Million)

Companies Profiled

List of Companies Mentioned
3GPP (Third Generation Partnership Project)
5G PPP (5G Infrastructure Public Private Partnership)
Accedian Networks
Accelleran
Accuver
Actix
AIRCOM International
AirHop Communications
Airspan Networks
Allot Communications
Alpha Networks
Alphabet
Altiostar Networks
Altran
Alvarion Technologies
Amdocs
Anritsu Corporation
Arcadyan Technology Corporation
Argela
ARIB (Association of Radio Industries and Businesses, Japan)
Aricent
Arista Networks
ARRIS International
Artemis Networks
Artiza Networks
ASOCS
Astellia
ASUS (ASUSTeK Computer)
AT&T
ATDI
ATIS (Alliance for Telecommunications Industry Solutions, United States)
Baicells Technologies
BCE (Bell Canada)
Benu Networks
Bharti Airtel
BLiNQ Networks
BoostEdge
Broadcom
CableLabs
Casa Systems
Cavium
CBNL (Cambridge Broadband Networks Limited)
CCI (Communication Components, Inc.)
CCS (Cambridge Communication Systems)
CCSA (China Communications Standards Association)
Celcite
CellOnyx
Cellwize
CelPlan Technologies
Celtro
Cisco Systems
Citrix Systems
Collision Communications
Comarch
CommAgility
CommProve
CommScope
Commsquare
Comsearch
Contela
Continual
Coriant
Corning
Datang Mobile
Dell Technologies
Digi Communications
Digitata
D-Link Corporation
ECE (European Communications Engineering)
EDX Wireless
Elisa
Elisa Automate
Empirix
Equiendo
Ercom
Ericsson
ETRI (Electronics & Telecommunications Research Institute, South Korea)
ETSI (European Telecommunications Standards Institute)
EXFO
Facebook
Fairspectrum
Federated Wireless
Flash Networks
Fon
Fontech
Forsk
Fujian Sunnada Network Technology
Fujitsu
Galgus
Gemtek Technology
General Dynamics Mission Systems
GenXComm
Globe Telecom
GoNet Systems
Google
Guavus
GWT (Global Wireless Technologies)
HCL Technologies
Hitachi
Hitachi Vantara
Huawei
iBwave Solutions
InfoVista
Innovile
InnoWireless
Intel Corporation
InterDigital
Intracom Telecom
ip.access
ITRI (Industrial Technology Research Institute, Taiwan)
Ixia
JRC (Japan Radio Company)
Juni Global
Juniper Networks
KDDI Corporation
Keima
Key Bridge
Keysight Technologies
KKTCell (Kuzey K?br?s Turkcell)
Kleos
Koonsys Radiocommunications
Kumu Networks
Lemko Corporation
life:) Belarus
lifecell Ukraine
Linksys
Linux Foundation
LS telcom
Luminate Wireless
LuxCarta
Marvell Technology Group
Mavenir Systems
MegaFon
Mimosa Networks
MitraStar Technology Corporation
Mojo Networks
Mosaik
Nash Technologies
NEC Corporation
NetQPro
NetScout Systems
Netsia
New Postcom Equipment Company
Nexus Telecom
NGMN Alliance
Node-H
Nokia Networks
Nomor Research
NuRAN Wireless
Nutaq Innovation
NXP Semiconductors
Oceus Networks
Optus
Orange
P.I.Works
Parallel Wireless
Persistent Systems
PHAZR
Phluido
Polystar
Potevio
PreClarity
Qualcomm
Quanta Computer
Qucell
RADCOM
Radisys Corporation
Ranplan Wireless Network Design
RCS & RDS
Rearden
Red Hat
RED Technologies
Redline Communications
Reliance Industries
Rivada Networks
Rohde & Schwarz
Ruckus Wireless
Saguna Networks
Samji Electronics Company
Samsung
Schema
SEDICOM
SerComm Corporation
Seven Networks
Siklu Communication
Singtel
SIRADEL
SITRONICS
SK Telecom
SK Telesys
Small Cell Forum
Spectrum Effect
SpiderCloud Wireless
Star Solutions
SuperCom
Systemics Group
Tarana Wireless
Tech Mahindra
Tecore Networks
TEKTELIC Communications
Telefónica Group
Telrad Networks
TEOCO Corporation
Teragence
Thales
TI (Texas Instruments)
TIM (Telecom Italia Mobile)
TIM Brasil
TP-Link Technologies
TSDSI (Telecommunications Standards Development Society, India)
TTA (Telecommunications Technology Association, South Korea)
TTC (Telecommunication Technology Committee, Japan)
TTG International
Tulinx
Turkcell
Vasona Networks
Verizon Communications
VHA (Vodafone Hutchison Australia)
Viavi Solutions
VMWare
Vodafone Germany
Vodafone Group
Vodafone Ireland
Vodafone Spain
Vodafone UK
WBA (Wireless Broadband Alliance)
WebRadar
Wireless DNA
WNC (Wistron NeWeb Corporation)
WPOTECH
XCellAir
Z-Com
ZTE
Zyxel Communications Corporation

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