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

Published: Oct, 2016 | Pages: 247 | Publisher: SNS Research
Industry: ICT | Report Format: Electronic (PDF)

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.

Topics Covered

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

Key Questions Answered 

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?

Key Findings 

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

 Table of Contents	
		
Chapter 1: Introduction	
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
		
	Chapter 2: SON & Mobile Network Optimization Ecosystem
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
		
	Chapter 3: SON Technology, Use Cases & Implementation Architectures	
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
		
	Chapter 5: SON Deployment Case Studies	
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
		
	Chapter 6: Industry Roadmap & Value Chain	
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
		
	Chapter 7: Vendor Landscape	
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
		
	Chapter 8: Market Analysis & Forecasts	
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
		
Chapter 9: Key Trends, Conclusion & Strategic Recommendations	
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