The SON (Self-Organizing Networks) Ecosystem: 2016 – 2030 – Opportunities, Challenges, Strategies & Forecasts

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Date: 07-Oct-2016
No. of pages: 247
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SON (Self-Organizing Network) technology minimizes the lifecycle cost of running a mobile network by eliminating manual configuration of equipment at the time of deployment, right through to dynamically optimizing performance and troubleshooting during operation. This can significantly reduce the cost of the operator’s services, improving the OpEx to revenue ratio.

Amid growing demands for mobile broadband connectivity, mobile operators are keen to capitalize on SON to minimize rollout delays and operational expenditures associated with their ongoing LTE and small cell deployments.  

Originally targeted for the RAN (Radio Access Network) segment of mobile networks, SON technology is now also utilized in the mobile core and transport network segments. In addition, Wi-Fi access point OEMs are beginning to integrate SON features such as plug-and-play deployment, autonomous performance optimization, self-healing and proactive defense against unauthorized access.   

Despite challenges relating to implementation complexities and multi-vendor interoperability, SON revenue is expected to grow to more than $5 Billion by the end of 2020, exceeding conventional mobile network optimization revenue by a significant margin. Furthermore, the SON ecosystem is increasingly witnessing convergence with other technological innovations such as Big Data, predictive analytics and DPI (Deep Packet Inspection).

The “SON (Self-Organizing Networks) Ecosystem: 2016 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of the SON and associated mobile network optimization ecosystem including key market drivers, challenges, OpEx and CapEx savings potential, use cases, SON deployment case studies, future roadmap, value chain, vendor analysis and strategies. The report also presents revenue forecasts for both SON and conventional mobile network optimization, along with individual projections for 10 SON submarkets, 6 regions and 15 countries from 2016 through to 2030.

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

The report covers the following topics:


  • Conventional mobile network planning & optimization

  • SON technology and architecture

  • Key benefits and market drivers of SON

  • Challenges to SON adoption

  • SON use cases

  • SON deployment case studies

  • Future roadmap of the SON ecosystem

  • Company profiles and strategies of over 120 SON ecosystem players

  • OpEx and CapEx saving analysis of SON

  • Wireless network infrastructure spending, traffic projections and value chain

  • Convergence of SON with Big Data, predictive analytics and DPI

  • Strategic recommendations for SON solution providers, wireless infrastructure OEMs and mobile operators

  • Market analysis and forecasts from 2016 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


  • Macrocell RAN

  • HetNet RAN

  • Mobile Core

  • Mobile Backhaul & Fronthaul


SON Architecture Submarkets


  • C-SON (Centralized SON)

  • D-SON (Distributed SON)


SON Access Network Technology Submarkets


  • 2G & 3G

  • LTE

  • Wi-Fi

  • 5G


Regional Markets


  • Asia Pacific

  • Eastern Europe

  • Latin & Central America

  • Middle East & Africa

  • North America

  • Western Europe


Country Markets


  • Australia

  • Brazil

  • Canada

  • China

  • France

  • Germany

  • India

  • Italy

  • Japan

  • Russia

  • South Korea

  • Spain

  • Taiwan

  • UK

  • USA


The report provides answers to the following key questions:


  • How big is the SON and mobile network optimization ecosystem?

  • How is the ecosystem evolving by segment and region?

  • What will the market size be in 2020 and at what rate will it grow?

  • What trends, challenges and barriers are influencing its growth?

  • Who are the key SON vendors and what are their strategies?

  • What is the outlook for QoE based SON solutions?

  • How can SON ease the deployment of unlicensed LTE small cells?

  • What SON capabilities will 5G networks entail?

  • What is the outlook for C-SON and D-SON adoption?

  • How will SON investments compare with those on traditional mobile network optimization?

  • What opportunities exist for SON in mobile core and transport networks?

  • How will SON use cases evolve overtime in 3GPP releases?

  • Which regions will see the highest number of SON investments?

  • How much will mobile operators invest in SON solutions?

  • What is the outlook for SON associated OpEx savings by region?


The report has the following key findings:


  • Despite challenges relating to implementation complexities and multi-vendor interoperability, SON revenue is expected to grow to more than $5 Billion by the end of 2020, exceeding conventional mobile network optimization revenue by a significant margin.

  • Mobile operators have reported up to a 50% reduction in dropped calls and over 20% higher data rates with SON implementation. Besides common network optimization use cases, operators are also capitalizing on SON platforms to address critical business objectives such as refarming 2G/3G spectrum for LTE networks.

  • In a bid to differentiate their products, Wi-Fi access point OEMs are beginning to integrate SON features such as plug-and-play deployment, autonomous performance optimization, self-healing and proactive defense against unauthorized access.  

  • SON platforms are moving from reactive systems to more advanced implementations that incorporate predictive analytics technology to make necessary changes to a network before any degradation occurs.

  • Infrastructure and software incumbents are continuing to acquire smaller established C-SON players to accelerate their entry path into the C-SON market.


List of Companies Mentioned


  • 3GPP (Third Generation Partnership Project)

  • Accedian Networks

  • Accelleran

  • Accuver

  • Actix

  • Aexio

  • Aircom International

  • AirHop Communications

  • Airspan Networks

  • Alcatel-Lucent

  • Altiostar Networks

  • Alvarion Technologies

  • Amdocs

  • Anite

  • Arcadyan Technology Corporation

  • Argela

  • ARIB (Association of Radio Industries and Businesses, Japan)

  • Aricent

  • Arieso

  • ARItel

  • Artemis Networks

  • Ascom

  • Astellia

  • ASUS (ASUSTeK Computer)

  • AT&T

  • AT&T Mobility

  • ATDI

  • ATIS (Alliance for Telecommunications Industry Solutions)

  • Avvasi

  • Baicells

  • Belkin International

  • Benu Networks

  • BLiNQ Networks

  • Broadcom

  • Brocade Communications Systems

  • Bwtech

  • Bytemobile

  • CableLabs

  • Casa Systems

  • Cavium

  • CBNL (Cambridge Broadband Networks Limited)

  • CCS (Cambridge Communication Systems)

  • CCSA (China Communications Standards Association)

  • Celcite

  • CellMining

  • Cellwize

  • Celtro

  • CENTRI

  • Cisco Systems

  • Citrix Systems

  • Comarch

  • CommAgility

  • CommScope

  • Commsquare

  • Connectem

  • Contela

  • Coriant

  • CrowdX

  • Datang Mobile

  • Dell EMC

  • Dell Technologies

  • Digitata

  • D-Link Corporation

  • ECE (European Communications Engineering)

  • Eden Rock Communications

  • Equiendo

  • Ercom

  • Ericsson

  • ETSI (European Telecommunications Standards Institute)

  • EXFO

  • Flash Networks

  • Forsk

  • Freescale Semiconductor

  • Fujitsu

  • Gemtek Technology Company

  • General Dynamics Mission Systems

  • Globe Telecom

  • GoNet Systems

  • Guavus

  • GWT (Global Wireless Technologies)

  • Hitachi

  • Huawei

  • InfoVista

  • Ingenia Telecom

  • Innovile

  • Intel Corporation

  • InterDigital

  • Intracom Telecom

  • IP Wireless

  • ip.access

  • Ipanema Technologies

  • JRC (Japan Radio Company)

  • Juni Global

  • KDDI Corporation

  • Keysight Technologies

  • KKTCell (Kuzey Kıbrıs Turkcell)

  • Kumu Networks

  • Lemko Corporation

  • Lifecell

  • Linksys

  • Luminate Wireless

  • Mentum

  • MIMOon

  • Mobixell

  • Mojo Networks

  • NEC Corporation

  • NetScout Systems

  • New Postcom Equipment Company

  • Newfield Wireless

  • NGNM (Next Generation Mobile Networks) Alliance

  • Nokia Networks

  • NuRAN Wireless

  • Nutaq

  • NXP Semiconductors

  • Oceus Networks

  • Opera Software

  • Optimi

  • Optulink

  • P.I.Works

  • Parallel Wireless

  • Phluido

  • Plano Engineering

  • Potevio (China Potevio Company)

  • PureWave Networks

  • Qualcomm

  • Quanta Computer

  • Qucell

  • RADCOM

  • Radisys Corporation

  • Rearden

  • RED Technologies

  • Redline Communications

  • Reverb Networks

  • Rohde & Schwarz

  • Rorotika

  • Ruckus Wireless

  • Samji Electronics Company

  • Samsung Electronics

  • Schema

  • SEDICOM

  • SerComm Corporation

  • Seven Networks

  • Siklu Communication

  • Singtel Group

  • SK Group

  • SK Telecom

  • SK Telesys

  • Small Cell Forum

  • SpiderCloud Wireless

  • Star Solutions

  • SuperCom

  • Tarana Wireless

  • Tecore

  • TEKTELIC Communications

  • Tektronix Communications

  • Telecom Italia

  • Telefónica Group

  • Telrad Networks

  • Telum

  • TEOCO

  • TI (Texas Instruments)

  • TIM (Telecom Italia Mobile)

  • TIM Brasil

  • TP-Link Technologies

  • Trendium

  • TSDSI (Telecommunications Standards Development Society, India)

  • TTA (Telecommunications Technology Association of Korea)

  • TTC (Telecommunication Technology Committee, Japan)

  • TTG International

  • Tulinx

  • Turkcell Group

  • Vasona Networks

  • Vector Srl

  • Viavi Solutions

  • Vodafone Group

  • Vodafone Hutchison Australia

  • WBA (Wireless Broadband Alliance)

  • WebRadar

  • WNC (Wistron NeWeb Corporation)

  • WPOTECH

  • Xceed Technologies

  • XCellAir

  • Z-Com (ZDC Wireless)

  • ZTE

  • ZyXEL Communications Corporation


Countires Covered


  • Australia

  • Brazil

  • Canada

  • China

  • France

  • Germany

  • India

  • Italy

  • Japan

  • Russia

  • South Korea

  • Spain

  • Taiwan

  • UK

The SON (Self-Organizing Networks) Ecosystem: 2016 – 2030 – Opportunities, Challenges, Strategies & Forecasts

Table of Contents

1 Chapter 1: Introduction 16
1.1 Executive Summary 16
1.2 Topics Covered 18
1.3 Forecast Segmentation 19
1.4 Key Questions Answered 21
1.5 Key Findings 22
1.6 Methodology 23
1.7 Target Audience 24
1.8 Companies & Organizations Mentioned 25

2 Chapter 2: SON & Mobile Network Optimization Ecosystem 28
2.1 Conventional Mobile Network Optimization 28
2.1.1 Network Planning 28
2.1.2 Measurement Collection: Drive Tests, Probes and End User Data 29
2.1.3 Post-Processing, Optimization & Policy Enforcement 29
2.2 The SON (Self-Organizing Network) Concept 30
2.2.1 What is SON? 30
2.2.2 The Need for SON 30
2.3 Functional Areas of SON 31
2.3.1 Self-Configuration 32
2.3.2 Self-Optimization 32
2.3.3 Self-Healing 32
2.4 Market Drivers for SON Adoption 33
2.4.1 Continued Wireless Network Infrastructure Investments 33
2.4.2 Optimization in Multi-RAN & HetNet Environments 34
2.4.3 OpEx & CapEx Reduction: The Cost Saving Potential 36
2.4.4 Improving Subscriber Experience and Churn Reduction 36
2.4.5 Power Savings 37
2.4.6 Enabling Small Cell Deployments 37
2.4.7 Traffic Management 37
2.5 Market Barriers for SON Adoption 38
2.5.1 Complexity of Implementation 38
2.5.2 Reorganization & Changes to Standard Engineering Procedures 38
2.5.3 Lack of Trust in Automation 38
2.5.4 Lack of Operator Control: Proprietary SON Algorithms 38
2.5.5 Coordination between Distributed and Centralized SON 39
2.5.6 Network Security Concerns: New Interfaces and Lack of Monitoring 39

3 Chapter 3: SON Technology, Use Cases & Implementation Architectures 40
3.1 Where Does SON Sit Within a Mobile Network? 40
3.1.1 RAN 41
3.1.2 Mobile Core 41
3.1.3 Mobile Backhaul & Fronthaul 42
3.1.4 Device-Assisted SON 43
3.2 SON Architecture 44
3.2.1 C-SON (Centralized SON) 44
3.2.2 D-SON (Distributed SON) 45
3.2.3 H-SON (Hybrid SON) 46
3.3 SON Use-Cases 47
3.3.1 Self-Configuration of Network Elements 47
3.3.2 Automatic Connectivity Management 47
3.3.3 Self-Testing of Network Elements 47
3.3.4 Self-Recovery of Network Elements/Software 48
3.3.5 Self-Healing of Board Faults 48
3.3.6 Automatic Inventory 48
3.3.7 ANR (Automatic Neighbor Relations) 48
3.3.8 PCI (Physical Cell ID) Configuration 49
3.3.9 CCO (Coverage & Capacity Optimization) 49
3.3.10 MRO (Mobility Robustness Optimization) 49
3.3.11 MLB (Mobile Load Balancing) 50
3.3.12 RACH (Random Access Channel) Optimization 50
3.3.13 ICIC (Inter-Cell Interference Coordination) 50
3.3.14 eICIC (Enhanced ICIC) 51
3.3.15 Energy Savings 51
3.3.16 Cell Outage Detection & Compensation 51
3.3.17 Self-Configuration & Optimization of Small Cells 52
3.3.18 Optimization of DAS (Distributed Antenna Systems) 52
3.3.19 RAN Aware Traffic Shaping 52
3.3.20 Traffic Steering in HetNets 53
3.3.21 Optimization of Virtualized Network Resources 53
3.3.22 Auto-Provisioning of Transport Links 53
3.3.23 Transport Network Bandwidth Optimization 53
3.3.24 Transport Network Interference Management 53
3.3.25 SON Coordination Management 54
3.3.26 Seamless Vendor Infrastructure Swap 54

4 Chapter 4: SON Standardization 55
4.1 NGNM (Next Generation Mobile Networks) Alliance 55
4.1.1 Conception of the SON Initiative 55
4.1.2 Functional Areas and Requirements 56
4.1.3 Implementation Approach 57
4.1.4 P-SmallCell (Project Small Cell) 57
4.1.5 Recommendations for Multi-Vendor SON Deployment 58
4.2 3GPP (Third Generation Partnership Project) 59
4.2.1 Release 8 59
4.2.2 Release 9 60
4.2.3 Release 10 60
4.2.4 Release 11 60
4.2.5 Release 12, 13 & Beyond 61
4.2.6 Implementation Approach 62
4.3 Small Cell Forum 62
4.3.1 Release 7: Focus on SON for Small Cells 62
4.3.2 SON API 63
4.3.3 X2 Interoperability 63
4.4 WBA (Wireless Broadband Alliance) 64
4.4.1 SON Integration in Carrier Wi-Fi Guidelines 64
4.5 CableLabs 65
4.5.1 SON Parameter Exchange in Wi-Fi Gateway Management Specification 65

5 Chapter 5: SON Deployment Case Studies 66
5.1 AT&T 66
5.1.1 Vendor Selection 66
5.1.2 Implemented Use Cases 66
5.1.3 Results 67
5.2 Globe Telecom 67
5.2.1 Vendor Selection 67
5.2.2 Implemented Use Cases 67
5.2.3 Results 68
5.3 KDDI Corporation 69
5.3.1 Vendor Selection 69
5.3.2 Implemented Use Cases 69
5.3.3 Results 69
5.4 Singtel Group 70
5.4.1 Vendor Selection 70
5.4.2 Implemented Use Cases 70
5.4.3 Results 70
5.5 SK Telecom 71
5.5.1 Vendor Selection 71
5.5.2 Implemented Use Cases 71
5.5.3 Results 71
5.6 Telefónica Group 72
5.6.1 Vendor Selection 72
5.6.2 Implemented Use Cases 72
5.6.3 Results 72
5.7 TIM (Telecom Italia Mobile) 73
5.7.1 Vendor Selection 73
5.7.2 Implemented Use Cases 73
5.7.3 Results 74
5.8 Turkcell Group 74
5.8.1 Vendor Selection 74
5.8.2 Implemented Use Cases 74
5.8.3 Results 75
5.9 Vodafone Group 76
5.9.1 Vendor Selection 76
5.9.2 Implemented Use Cases 76
5.9.3 Results 76

6 Chapter 6: Industry Roadmap & Value Chain 78
6.1 Industry Roadmap 78
6.1.1 Large Scale Adoption of SON Technology: 2016 - 2020 78
6.1.2 Towards QoE/QoS Based End-to-End SON: 2020 - 2025 79
6.1.3 Continued Investments to Support 5G Rollouts: 2025 - 2030 79
6.2 Value Chain 80
6.3 Embedded Technology Ecosystem 80
6.3.1 Chipset Developers 80
6.3.2 Embedded Component/Software Providers 80
6.4 RAN Ecosystem 82
6.4.1 Macrocell RAN OEMs 82
6.4.2 Pure-Play Small Cell OEMs 82
6.4.3 Wi-Fi Access Point OEMs 82
6.4.4 DAS & Repeater Solution Providers 83
6.4.5 C-RAN Solution Providers 83
6.4.6 Other Technology Providers 83
6.5 Transport Networking Ecosystem 83
6.5.1 Backhaul & Fronthaul Solution Providers 83
6.6 Mobile Core Ecosystem 84
6.6.1 Mobile Core Solution Providers 84
6.7 Connectivity Ecosystem 84
6.7.1 Mobile Operators 84
6.7.2 Wi-Fi Connectivity Providers 84
6.7.3 SCaaS (Small Cells as a Service) Providers 85
6.8 SON Ecosystem 85
6.8.1 SON Solution Providers 85
6.9 SDN & NFV Ecosystem 85
6.9.1 SDN & NFV Providers 85

7 Chapter 7: Vendor Landscape 86
7.1 Accedian Networks 86
7.2 Accelleran 87
7.3 Accuver 88
7.4 AirHop Communications 89
7.5 Airspan Networks 90
7.6 Alvarion Technologies 91
7.7 Altiostar Networks 92
7.8 Amdocs 93
7.9 Arcadyan Technology Corporation 95
7.10 Argela 96
7.11 Aricent 97
7.12 ARItel 98
7.13 Artemis Networks 99
7.14 Astellia 100
7.15 ASUS (ASUSTeK Computer) 101
7.16 ATDI 102
7.17 Avvasi 103
7.18 Baicells 104
7.19 Belkin International 105
7.20 Benu Networks 106
7.21 BLiNQ Networks 107
7.22 Broadcom 108
7.23 Brocade Communications Systems 109
7.24 Casa Systems 110
7.25 Cavium 111
7.26 CBNL (Cambridge Broadband Networks Limited) 112
7.27 CCS (Cambridge Communication Systems) 113
7.28 CellMining 114
7.29 Cellwize 115
7.30 Celtro 116
7.31 CENTRI 117
7.32 Cisco Systems 118
7.33 Citrix Systems 119
7.34 Comarch 120
7.35 CommAgility 121
7.36 CommScope 122
7.37 Commsquare 123
7.38 Contela 124
7.39 Coriant 125
7.40 Datang Mobile 126
7.41 Dell EMC 127
7.42 Digitata 128
7.43 D-Link Corporation 129
7.44 ECE (European Communications Engineering) 130
7.45 Equiendo 131
7.46 Ericsson 132
7.47 Ercom 133
7.48 EXFO 134
7.49 Flash Networks 135
7.50 Forsk 136
7.51 Fujitsu 137
7.52 Gemtek Technology Company 138
7.53 General Dynamics Mission Systems 139
7.54 GoNet Systems 140
7.55 Guavus 141
7.56 GWT (Global Wireless Technologies) 142
7.57 Hitachi 143
7.58 Huawei 144
7.59 InfoVista 145
7.60 Innovile 146
7.61 Intel Corporation 147
7.62 InterDigital 148
7.63 Intracom Telecom 149
7.64 ip.access 150
7.65 JRC (Japan Radio Company) 151
7.66 Juni Global 152
7.67 Keysight Technologies 153
7.68 Kumu Networks 154
7.69 Lemko Corporation 155
7.70 Luminate Wireless 156
7.71 Mojo Networks 157
7.72 NEC Corporation 158
7.73 NetScout Systems 159
7.74 New Postcom Equipment Company 160
7.75 Nokia Networks 161
7.76 Nutaq 162
7.77 NXP Semiconductors 163
7.78 Oceus Networks 164
7.79 Opera Software 165
7.80 Optulink 166
7.81 Parallel Wireless 167
7.82 P.I.Works 168
7.83 Phluido 169
7.84 Plano Engineering 170
7.85 Potevio (China Potevio Company) 171
7.86 Qualcomm 172
7.87 Quanta Computer 174
7.88 Qucell 175
7.89 RADCOM 176
7.90 Radisys Corporation 177
7.91 RED Technologies 178
7.92 Redline Communications 179
7.93 Rohde & Schwarz 180
7.94 Samji Electronics Company 181
7.95 Samsung Electronics 182
7.96 SEDICOM 183
7.97 SerComm Corporation 184
7.98 Seven Networks 185
7.99 Siklu Communication 186
7.100 SK Telesys 187
7.101 SpiderCloud Wireless 188
7.102 Star Solutions 189
7.103 Tarana Wireless 190
7.104 Tecore 191
7.105 TEKTELIC Communications 192
7.106 Telrad Networks 193
7.107 Telum 194
7.108 TEOCO 195
7.109 TI (Texas Instruments) 196
7.110 TP-Link Technologies 197
7.111 TTG International 198
7.112 Tulinx 199
7.113 Vasona Networks 200
7.114 Viavi Solutions 201
7.115 WebRadar 202
7.116 WNC (Wistron NeWeb Corporation) 203
7.117 WPOTECH 204
7.118 XCellAir 205
7.119 Z-Com (ZDC Wireless) 206
7.120 ZTE 207
7.121 ZyXEL Communications Corporation 208

8 Chapter 8: Market Analysis & Forecasts 209
8.1 SON & Mobile Network Optimization Revenue 209
8.2 SON Revenue 210
8.3 SON Revenue by Network Segment 210
8.3.1 Conventional Macrocell RAN 211
8.3.2 HetNet RAN 211
8.3.3 Mobile Core 212
8.3.4 Mobile Backhaul & Fronthaul 212
8.4 SON Revenue by Architecture: Centralized vs. Distributed 213
8.4.1 C-SON 213
8.4.2 D-SON 214
8.5 SON Revenue by Access Network Technology 214
8.5.1 2G & 3G 215
8.5.2 LTE 215
8.5.3 Wi-Fi 216
8.5.4 5G 216
8.6 SON Revenue by Region 217
8.7 Conventional Mobile Network Planning & Optimization Revenue 217
8.8 Conventional Mobile Network Planning & Optimization Revenue by Region 218
8.9 Asia Pacific 219
8.9.1 SON 219
8.9.2 Conventional Mobile Network Planning & Optimization 219
8.10 Eastern Europe 220
8.10.1 SON 220
8.10.2 Conventional Mobile Network Planning & Optimization 220
8.11 Latin & Central America 221
8.11.1 SON 221
8.11.2 Conventional Mobile Network Planning & Optimization 221
8.12 Middle East & Africa 222
8.12.1 SON 222
8.12.2 Conventional Mobile Network Planning & Optimization 222
8.13 North America 223
8.13.1 SON 223
8.13.2 Conventional Mobile Network Planning & Optimization 223
8.14 Western Europe 224
8.14.1 SON 224
8.14.2 Conventional Mobile Network Planning & Optimization 224
8.15 Top Country Markets 225
8.15.1 Australia 225
8.15.2 Brazil 225
8.15.3 Canada 226
8.15.4 China 226
8.15.5 France 227
8.15.6 Germany 227
8.15.7 India 228
8.15.8 Italy 228
8.15.9 Japan 229
8.15.10 Russia 229
8.15.11 South Korea 230
8.15.12 Spain 230
8.15.13 Taiwan 231
8.15.14 UK 231
8.15.15 USA 232

9 Chapter 9: Key Trends, Conclusion & Strategic Recommendations 233
9.1 Moving Towards QoE Based SON Platforms 233
9.2 Capitalizing on DPI (Deep Packet Inspection) 233
9.3 The Convergence of Big Data, Predictive Analytics & SON 234
9.4 Optimizing M2M & IoT Services 235
9.5 SON for NFV & SDN: The Push from Mobile Operators 235
9.6 Moving Towards Mobile Core and Transport Networks 236
9.7 Assessing the Impact of SON on Optimization & Field Engineers 236
9.8 Impact of Unlicensed LTE Small Cells 238
9.9 Growing Adoption of SON Capabilities for Wi-Fi 240
9.10 SON Associated OpEx Savings: The Numbers 241
9.11 What SON Capabilities Will 5G Networks Entail? 242
9.11.1 Predictive Resource Allocation 242
9.11.2 Addressing D2D (Device-to-Device) Communications & New Use Cases 243
9.11.3 User-Based Profiling & Optimization for Vertical 5G Applications 243
9.11.4 Greater Focus on Self-Protection Capabilities 244
9.12 The C-SON Versus D-SON Debate 244
9.13 Strategic Recommendations 245
9.13.1 SON & Conventional Mobile Network Optimization Solution Providers 245
9.13.2 Wireless Infrastructure OEMs 246
9.13.3 Mobile Operators 247

List of Figures

Figure 1: Functional Areas of SON within the Mobile Network Lifecycle 32
Figure 2: Annual Throughput of Mobile Network Data Traffic by Region: 2016 - 2030 (Exabytes) 34
Figure 3: Global Wireless Network Infrastructure Revenue Share by Submarket (%) 35
Figure 4: Global Mobile Network Data Traffic Distribution by Access Network Form Factor: 2016 - 2030 (%) 36
Figure 5: SON Associated OpEx & CapEx Savings by Network Segment 37
Figure 6: Potential Areas of SON Implementation 41
Figure 7: Mobile Backhaul & Fronthaul Segmentation by Technology 43
Figure 8: C-SON (Centralized SON) in a Mobile Operator Network 45
Figure 9: D-SON (Distributed SON) in a Mobile Operator Network 46
Figure 10: H-SON (Hybrid SON) in a Mobile Operator Network 47
Figure 11: NGNM SON Use Cases 57
Figure 12: SON Industry Roadmap: 2016 - 2030 79
Figure 13: Wireless Network Infrastructure Value Chain 82
Figure 14: Global SON & Mobile Network Optimization Revenue: 2016 - 2030 ($ Million) 210
Figure 15: Global SON Revenue: 2016 - 2030 ($ Million) 211
Figure 16: Global SON Revenue by Network Segment: 2016 - 2030 ($ Million) 211
Figure 17: Global Macrocell RAN SON Revenue: 2016 - 2030 ($ Million) 212
Figure 18: Global HetNet RAN SON Revenue: 2016 - 2030 ($ Million) 212
Figure 19: Global Mobile Core SON Revenue: 2016 - 2030 ($ Million) 213
Figure 20: Global Mobile Backhaul & Fronthaul SON Revenue: 2016 - 2030 ($ Million) 213
Figure 21: Global SON Revenue by Architecture: 2016 - 2030 ($ Million) 214
Figure 22: Global C-SON Revenue: 2016 - 2030 ($ Million) 214
Figure 23: Global D-SON Revenue: 2016 - 2030 ($ Million) 215
Figure 24: Global SON Revenue by Access Network Technology: 2016 - 2030 ($ Million) 215
Figure 25: Global 2G & 3G SON Revenue: 2016 - 2030 ($ Million) 216
Figure 26: Global LTE SON Revenue: 2016 - 2030 ($ Million) 216
Figure 27: Global Wi-Fi SON Revenue: 2016 - 2030 ($ Million) 217
Figure 28: Global 5G SON Revenue: 2020 - 2030 ($ Million) 217
Figure 29: SON Revenue by Region: 2016 - 2030 ($ Million) 218
Figure 30: Global Conventional Mobile Network Planning & Optimization Revenue: 2016 - 2030 ($ Million) 218
Figure 31: Conventional Mobile Network Planning & Optimization Revenue by Region: 2016 - 2030 ($ Million) 219
Figure 32: Asia Pacific SON Revenue: 2016 - 2030 ($ Million) 220
Figure 33: Asia Pacific Conventional Mobile Network Planning & Optimization Revenue: 2016 - 2030 ($ Million) 220
Figure 34: Eastern Europe SON Revenue: 2016 - 2030 ($ Million) 221
Figure 35: Eastern Europe Conventional Mobile Network Planning & Optimization Revenue: 2016 - 2030 ($ Million) 221
Figure 36: Latin & Central America SON Revenue: 2016 - 2030 ($ Million) 222
Figure 37: Latin & Central America Conventional Mobile Network Planning & Optimization Revenue: 2016 - 2030 ($ Million) 222
Figure 38: Middle East & Africa SON Revenue: 2016 - 2030 ($ Million) 223
Figure 39: Middle East & Africa Conventional Mobile Network Planning & Optimization Revenue: 2016 - 2030 ($ Million) 223
Figure 40: North America SON Revenue: 2016 - 2030 ($ Million) 224
Figure 41: North America Conventional Mobile Network Planning & Optimization Revenue: 2016 - 2030 ($ Million) 224
Figure 42: Western Europe SON Revenue: 2016 - 2030 ($ Million) 225
Figure 43: Western Europe Conventional Mobile Network Planning & Optimization Revenue: 2016 - 2030 ($ Million) 225
Figure 44: Australia SON Revenue: 2016 - 2030 ($ Million) 226
Figure 45: Brazil SON Revenue: 2016 - 2030 ($ Million) 226
Figure 46: Canada SON Revenue: 2016 - 2030 ($ Million) 227
Figure 47: China SON Revenue: 2016 - 2030 ($ Million) 227
Figure 48: France SON Revenue: 2016 - 2030 ($ Million) 228
Figure 49: Germany SON Revenue: 2016 - 2030 ($ Million) 228
Figure 50: India SON Revenue: 2016 - 2030 ($ Million) 229
Figure 51: Italy SON Revenue: 2016 - 2030 ($ Million) 229
Figure 52: Japan SON Revenue: 2016 - 2030 ($ Million) 230
Figure 53: Russia SON Revenue: 2016 - 2030 ($ Million) 230
Figure 54: South Korea SON Revenue: 2016 - 2030 ($ Million) 231
Figure 55: Spain SON Revenue: 2016 - 2030 ($ Million) 231
Figure 56: Taiwan SON Revenue: 2016 - 2030 ($ Million) 232
Figure 57: UK SON Revenue: 2016 - 2030 ($ Million) 232
Figure 58: USA SON Revenue: 2016 - 2030 ($ Million) 233
Figure 59: Global Unlicensed LTE Small Cell Unit Shipments: 2016 - 2030 (Thousands of Units) 239
Figure 60: Global Unlicensed LTE Small Cell Unit Shipment Revenue: 2016 - 2030 ($ Million) 240
Figure 61: SON Associated OpEx Savings by Region: 2016 - 2030 ($ Million) 242

  • Global Radio Modem Market Research Report 2016
    Published: 02-Dec-2016        Price: US 2900 Onwards        Pages: 110
    Notes: Production, means the output of Radio Modem Revenue, means the sales value of Radio Modem This report studies Radio Modem in Global market, especially in North America, Europe, China, Japan, Korea and Taiwan, focuses on top manufacturers in global market, with production, price, revenue and market share for each manufacturer, covering - Adeunis RF - Arada Systems - Atim Radiocommunications - Autotalks - B&B Electronics ......
  • Global Gigabit Wi-Fi Access Points Market Research Report 2016
    Published: 25-Nov-2016        Price: US 2900 Onwards        Pages: 115
    Notes: Production, means the output of Gigabit Wi-Fi Access Points Revenue, means the sales value of Gigabit Wi-Fi Access Points This report studies Gigabit Wi-Fi Access Points in Global market, especially in North America, Europe, China, Japan, Korea and Taiwan, focuses on top manufacturers in global market, with production, price, revenue and market share for each manufacturer, covering - Aruba - Cisco - Belkin - Aerohive - Hewlet......
  • The Taiwanese WLAN Industry, 3Q 2016
    Published: 15-Nov-2016        Price: US 1800 Onwards        Pages: 28
    This report presents shipment volume and value forecast and recent quarter review of the Taiwanese WLAN industry. The report examines WAN NIC and SiP shipment volume, value, ASP, as well as shipment volume and share by technology, by function, and by interface. The content of this report is based on primary data obtained through interviews with WLAN component makers. The report finds that WLAN NIC and SiP shipment volume fell 3.3% year on year in the second quarter of 2016, due to the lac......
  • Wireless Network Infrastructure Forecasts: 2016 – 2030 – Macrocell RAN, Small Cells, C-RAN, RRH, DAS, Carrier Wi-Fi, Mobile Core, Backhaul & Fronthaul
    Published: 01-Nov-2016        Price: US 1000 Onwards        Pages: 0
    The term “Wireless Network Infrastructure” has conventionally been associated with macrocell RAN (Radio Access Network) and mobile core segments of mobile operator networks. However, the scope of the term is expanding as mobile operators increase their investments in Heterogeneous Network or HetNet infrastructure such as small cells, carrier Wi-Fi and DAS (Distributed Antenna Systems), to cope with increasing capacity and coverage requirements. In addition, mobile operator......
  • China Wired Modem Market Research Report 2016
    Published: 26-Oct-2016        Price: US 3200 Onwards        Pages: 120
    Notes: Sales, means the sales volume of Wired Modem Revenue, means the sales value of Wired Modem This report studies Wired Modem in China market, focuses on the top players in China market, with capacity, production, price, revenue and market share for each manufacturer, covering - RS Pro - D-Link - TP-Link - Opto 22 - GC Electronics - L-com Connectivity - Dcom - Netgear - Edimax - Robotics ......
  • United States Mobile Phone Base Stations Market Report 2016
    Published: 25-Oct-2016        Price: US 3800 Onwards        Pages: 119
    Notes: Sales, means the sales volume of Mobile Phone Base Stations Revenue, means the sales value of Mobile Phone Base Stations This report studies sales (consumption) of Mobile Phone Base Stations in United States market, focuses on the top players, with sales, price, revenue and market share for each player, covering - ERICSSON - Alcatel-Lucent - NSN - MOTOROLA - NORTEL - SAMSUNG - DoCoMo - KDDI - SOFTB......
  • Global Mobile Broadband Modem Sales Market Report 2016
    Published: 24-Oct-2016        Price: US 4000 Onwards        Pages: 100
    Notes: Sales, means the sales volume of Mobile Broadband Modem Revenue, means the sales value of Mobile Broadband Modem This report studies sales (consumption) of Mobile Broadband Modem in Global market, especially in United States, China, Europe, Japan, focuses on top players in these regions/countries, with sales, price, revenue and market share for each player in these regions, covering - Huawei - Novatel Wireless - Sierra Wireless - Fr......
  • Voice over Wireless LAN (VoWLAN) Market by Solution (Hardware, And Services), Application (Unified Communication & Collaboration, Security & Emergency Alarms), End-User, & Geography - Global Forecast to 2022
    Published: 12-Oct-2016        Price: US 5650 Onwards        Pages: 151
    “The Voice over Wireless LAN (VoWLAN) market is likely to grow at a CAGR of 11.65% during the forecast period” The VoWLAN market was valued at USD 15.01 billion in 2015 and is expected to reach USD 34.68 billion by 2022, at a CAGR of 11.65% during the forecast period. The market growth can be attributed to the increasing demand for cost effective Wi-Fi solution which gives high indoor coverage. Due to the voice integration of 5G technology the VoWLAN syste......
  • Public Safety LTE Market in the US 2016-2020
    Published: 30-Sep-2016        Price: US 2500 Onwards        Pages: 62
    About LTE LTE is widely used by enterprises as well as public safety agencies for communicating with convenience. Due to the bandwidth limitations of traditional voice-centric LMR network systems, public safety agencies are interested in leveraging commercial cellular network technology to support the growing requirement of broadband applications. Considering its booming network, spectrum flexibility, and performance metrics, LTE has emerged as the leading entrant for public safety mobile......
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