SON (Self-Organizing Networks) in the 5G Era Market Analysis, Strategic Assessment, Trend Outlook and Bussiness Opportunities 2018-2030

“SON (Self-Organizing Networks) in the 5G Era Market”
WiseGuyReports.Com Publish a New Market Research Report On –“ SON (Self-Organizing Networks) in the 5G Era: 2019 – 2030 – Opportunities, Challenges, Strategies & Forecasts”.


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

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.


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

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

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

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

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

Mobile Network Optimization
 – SON
 – Conventional Mobile Network Planning & Optimization

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

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

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

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Table Of Contents – Major Key Points

Chapter 1: Introduction

Executive Summary

Topics Covered

Forecast Segmentation

Key Questions Answered

Key Findings


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






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


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