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The Self-Organizing Networks (SON) Ecosystem: 2014 - 2020

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SOURCE ReportBuyer

LONDON, July 17, 2014 /PRNewswire/ -- Reportbuyer.com has added a new market research report:

The Self-Organizing Networks (SON) Ecosystem: 2014 - 2020

https://www.reportbuyer.com/product/2051949/The-Self-Organizing-Networks-SON-Ecosystem-2014---2020.html

Self-Organizing Network (SON) technology minimizes the lifecycle cost of running a wireless carrier 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 carrier's services, improving the OpEx to revenue ratio.

Amid growing demands for mobile broadband connectivity, wireless carriers 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 Radio Access Network (RAN) segment of wireless carrier networks, SON technology is now also utilized in the mobile core and mobile backhaul segments. Furthermore, the SON ecosystem is increasingly witnessing convergence with other technological innovations such as Big Data analytics and Deep Packet Inspection (DPI).

Despite challenges relating to implementation complexities and multi-vendor interoperability, SON revenue is expected to grow to more than $3 Billion by the end of 2016, exceeding conventional mobile network optimization revenue by over 20%.

The "Self-Organizing Networks (SON) Ecosystem: 2014 – 2020" 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 8 SON submarkets from 2014 through to 2020. Historical figures are also presented for 2010, 2011, 2012 and 2013.

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

Key Findings:

- Despite challenges relating to implementation complexities and multi-vendor interoperability, SON revenue is expected to grow to more than $3 Billion by the end of 2016, exceeding conventional mobile network optimization revenue by over 20%
- Driven by large scale TD-LTE rollouts and ongoing SON deployments, the Asia Pacific region will account for nearly 40% of the global mobile network optimization market by 2016
- SNS Research estimates that SON can enable wireless carriers to save up to 35% of their electrical power consumption by dynamically by activating and deactivating RAN nodes in line with the changing traffic and user distribution profile
- SNS Research estimates that a Tier 1 wireless carrier can save as much as 32% of its overall OpEx by employing SON across the RAN, mobile core and mobile backhaul segments of the network
- Wireless carriers have reported up to a 40% reduction in dropped calls and over 20% higher data rates with SON implementation
- Infrastructure and software incumbents are aggressively eyeing on acquisitions of smaller established C-SON players to accelerate their early entry path into the C-SON market

Topics Covered:

- 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
- Company profiles and strategies of over 60 SON ecosystem players
- OpEx and CapEx saving analysis of SON
- Wireless network infrastructure spending and traffic projections
- Wireless network infrastructure industry roadmap and value chain
- Future roadmap of the SON ecosystem
- Convergence of SON with other technologies (such as Big Data analytics)
- Strategic recommendations for SON solution providers, wireless infrastructure OEMs and wireless carriers
- Market analysis and forecasts from 2014 till 2020

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

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

SON Submarkets
- Macrocell RAN
- HetNet/Small Cell RAN
- Mobile Core
- Mobile Backhaul

SON Architecture Submarkets
- C-SON (Centralized SON)
- D-SON (Distributed SON)

SON Wireless Network Generation Submarkets
- 2G/3G
- 4G

SON CapEx & OpEx Savings Submarkets
- RAN
- Mobile Core
- Mobile Backhaul

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

Key Questions Answered:

- 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?
- What is the outlook for C-SON and D-SON adoption?
- What is the outlook for SON associated OpEx savings by region?
- How will SON investments compare with those on traditional mobile network optimization?
- What opportunities exist for SON in mobile core and mobile backhaul?
- How will SON use cases evolve overtime in 3GPP releases?
- Which regions will see the highest number of SON investments?
- How much will wireless carriers invest in SON solutions?
1 Chapter 1: Introduction
1.1 Executive Summary
1.2 Topics Covered
1.3 Historical Revenue & Forecast Segmentation
1.4 Key Questions Answered
1.5 Key Findings
1.6 Methodology
1.7 Target Audience
1.8 Companies & Organizations Mentioned
2 Chapter 2: SON & Mobile Network Optimization Ecosystem
2.1 Conventional Mobile Network Optimization
2.1.1 Network Planning
2.1.2 Measurement Collection: Drive Tests, Probes and End User Data
2.1.3 Post-Processing, Optimization & Policy Enforcement
2.2 The Self-Organizing Network (SON) Concept
2.2.1 What is SON?
2.2.2 The Need for SON
2.3 Functional Areas of SON
2.3.1 Self-Configuration
2.3.2 Self-Optimization
2.3.3 Self-Healing
2.4 Market Drivers for SON Adoption
2.4.1 Continued Wireless Network Infrastructure Investments
2.4.2 Optimization in Multi-RAN & HetNet Environments
2.4.3 OpEx & CapEx Reduction: The Cost Saving Potential
2.4.4 Improving Subscriber Experience and Churn Reduction
2.4.5 Power Savings
2.4.6 Enabling Small Cell Deployments
2.4.7 Traffic Management
2.5 Market Barriers for SON Adoption
2.5.1 Complexity of Implementation
2.5.2 Reorganization & Changes to Standard Engineering Procedures
2.5.3 Lack of Trust in Automation
2.5.4 Lack of Operator Control: Proprietary SON Algorithms
2.5.5 Coordination between Distributed and Centralized SON
2.5.6 Network Security Concerns: New Interfaces and Lack of Monitoring
3 Chapter 3: SON Technology, Use Cases & Implementation Architectures
3.1 Where Does SON Sit Within a Mobile Network?
3.1.1 RAN
3.1.2 Mobile Core
3.1.3 Mobile Backhaul
3.1.4 Device-Assisted SON
3.2 SON Architecture
3.2.1 C-SON (Centralized SON)
3.2.2 D-SON (Distributed SON)
3.2.3 H-SON (Hybrid SON)
3.3 SON Use-Cases
3.3.1 Self-Configuration of Network Elements
3.3.2 Automatic Connectivity Management
3.3.3 Self-Testing of Network Elements
3.3.4 Self-Recovery of Network Elements/Software
3.3.5 Self-Healing of Board Faults
3.3.6 Automatic Inventory
3.3.7 ANR (Automatic Neighbor Relations)
3.3.8 PCI (Physical Cell ID) Configuration
3.3.9 CCO (Coverage & Capacity Optimization)
3.3.10 MRO (Mobility Robustness Optimization)
3.3.11 MLB (Mobile Load Balancing)
3.3.12 RACH (Random Access Channel) Optimization
3.3.13 ICIC (Inter-Cell Interference Coordination)
3.3.14 eICIC (Enhanced ICIC)
3.3.15 Energy Savings
3.3.16 Cell Outage Detection & Compensation
3.3.17 Self-Configuration & Optimization of Small Cells
3.3.18 Optimization of DAS (Distributed Antenna Systems)
3.3.19 RAN Aware Traffic Shaping
3.3.20 Traffic Steering in HetNets
3.3.21 Optimization of Virtualized Network Resources
3.3.22 Auto-Provisioning of Backhaul Links
3.3.23 Backhaul Bandwidth Optimization
3.3.24 Backhaul Interference Management
3.3.25 SON Coordination Management
3.3.26 Seamless Vendor Infrastructure Swap
4 Chapter 4: SON Standardization
4.1 NGNM (Next Generation Mobile Networks) Alliance
4.1.1 Conception of the SON Initiative
4.1.2 Functional Areas and Requirements
4.1.3 Implementation Approach
4.1.4 P-SmallCell (Project Small Cell)
4.1.5 Recommendations for Multi-Vendor SON Deployment
4.2 3GPP (Third Generation Partnership Project)
4.2.1 Release 8
4.2.2 Release 9
4.2.3 Release 10
4.2.4 Release 11
4.2.5 Release 12, 13 & Beyond
4.2.6 Implementation Approach
5 Chapter 5: SON Deployment Case Studies
5.1 AT&T Mobility
5.1.1 Vendor Selection & Contract Value
5.1.2 Implemented Use Cases
5.1.3 Results
5.2 SingTel
5.2.1 Vendor Selection & Contract Value
5.2.2 Implemented Use Cases
5.2.3 Results
5.3 TIM Brasil
5.3.1 Vendor Selection & Contract Value
5.3.2 Implemented Use Cases
5.3.3 Results
5.4 KDDI
5.4.1 Vendor Selection & Contract Value
5.4.2 Implemented Use Cases
5.4.3 Results
6 Chapter 6: Industry Roadmap & Value Chain
6.1 Industry Roadmap
6.1.1 Initial LTE FDD Rollouts with D-SON: 2010 - 2011
6.1.2 Rise of the HetNets & C-SON: 2012 - 2013
6.1.3 TD-LTE Deployments & Continued SON Proliferation: 2014 - 2016
6.1.4 "Software Centric" Networking & QoE/QoS Based SON: 2017 - 2019
6.1.5 Start of the 5G Era: 2020 & Beyond
6.2 Value Chain
6.3 Embedded Technology Ecosystem
6.3.1 Chipset Developers
6.3.2 Embedded Component/Software Providers
6.4 RAN Ecosystem
6.4.1 Macrocell RAN OEMs
6.4.2 'Pure-Play' and Specialist Small Cell OEMs
6.4.3 WiFi Access Point OEMs
6.4.4 DAS & Repeater Solution Providers
6.4.5 Cloud RAN Solution Providers
6.4.6 Other Technology & Network Component Providers/Enablers
6.5 Mobile Backhaul Ecosystem
6.5.1 Backhaul Solution Providers
6.6 Mobile Core Ecosystem
6.6.1 Core Network Infrastructure & Software Providers
6.7 Connectivity Ecosystem
6.7.1 2G, 3G & 4G Wireless Carriers
6.7.2 WiFi Connectivity Providers
6.7.3 Small Cells as a Service (SCaaS) Providers
6.8 SON & Mobile Network Optimization Ecosystem
6.8.1 SON Solution Providers
6.8.2 Mobile Network Optimization Solution Providers
6.9 SDN & NFV Ecosystem
6.9.1 SDN & NFV Providers
7 Chapter 7: Vendor Landscape
7.1 Accedian Networks
7.2 Accuver
7.3 AIRCOM International (Acquired by TEOCO)
7.4 AirHop Communications
7.5 Airspan Networks
7.6 Alcatel-Lucent
7.7 Amdocs
7.8 Arcadyan
7.9 Argela
7.10 Aricent
7.11 ARItel
7.12 Ascom
7.13 Astellia
7.14 ATDI
7.15 Avvasi
7.16 Broadcom
7.17 BLiNQ Networks
7.18 Cavium
7.19 CBNL (Cambridge Broadband Networks Limited)
7.20 Cellwize
7.21 Celtro
7.22 CENTRI
7.23 Cisco Systems
7.24 Citrix
7.25 Comarch
7.26 Commsquare
7.27 DTM (Datang Mobile)
7.28 ECE (European Communications Engineering)
7.29 Eden Rock Communications
7.30 Ericsson
7.31 Forsk
7.32 Freescale Semiconductor
7.33 Fujitsu
7.34 Guavus
7.35 Hitachi
7.36 Huawei
7.37 Intel
7.38 InterDigital
7.39 InfoVista
7.40 JDSU
7.41 Lemko
7.42 Lavastorm
7.43 mimoOn
7.44 NEC
7.45 NSN (Nokia Solutions & Networks)
7.46 Optulink
7.47 P.I.Works
7.48 Plano Engineering
7.49 Qualcomm
7.50 Radisys
7.51 RADCOM
7.52 Reverb Networks
7.53 Rohde & Schwarz
7.54 Rorotika
7.55 Samsung
7.56 SEDICOM
7.57 Siklu
7.58 SpiderCloud Wireless
7.59 Tarana Wireless
7.60 Tektronix Communications
7.61 Tellabs
7.62 TEOCO
7.63 Texas Instruments
7.64 Theta Networks
7.65 TTG International
7.66 Tulinx
7.67 WebRadar
7.68 Xceed Technologies
7.69 ZTE
8 Chapter 8: Market Analysis & Forecasts
8.1 SON & Mobile Network Optimization Revenue
8.2 SON Revenue
8.3 SON Revenue by Submarket
8.3.1 SON in Macrocell RAN
8.3.2 SON in HetNet/Small Cell RAN
8.3.3 SON in Mobile Core
8.3.4 SON in Mobile Backhaul
8.4 SON Revenue by Architecture: Centralized vs. Distributed
8.4.1 C-SON
8.4.2 D-SON
8.5 SON Revenue by Wireless Network Generation: 2G/3G vs. 4G
8.5.1 2G/3G SON
8.5.2 4G SON
8.6 SON Revenue by Region
8.7 Conventional Mobile Network Planning & Optimization Revenue
8.8 Conventional Mobile Network Planning & Optimization Revenue by Region
8.9 Asia Pacific
8.9.1 SON
8.9.2 Conventional Mobile Network Planning & Optimization
8.10 Eastern Europe
8.10.1 SON
8.10.2 Conventional Mobile Network Planning & Optimization
8.11 Latin & Central America
8.11.1 SON
8.11.2 Conventional Mobile Network Planning & Optimization
8.12 Middle East & Africa
8.12.1 SON
8.12.2 Conventional Mobile Network Planning & Optimization
8.13 North America
8.13.1 SON
8.13.2 Conventional Mobile Network Planning & Optimization
8.14 Western Europe
8.14.1 SON
8.14.2 Conventional Mobile Network Planning & Optimization
9 Chapter 9: Conclusion & Strategic Recommendations
9.1 Moving Towards QoE Based SON Platforms
9.2 Capitalizing on DPI (Deep Packet Inspection)
9.3 The Convergence of Big Data Analytics & SON
9.4 SON for NFV & SDN: The Push from Wireless Carriers
9.5 Moving Towards Mobile Core and Backhaul
9.6 Assessing the Impact of SON on Optimization & Field Engineers
9.7 SON Associated OpEx Savings: The Numbers
9.8 What SON Capabilities Will 5G Networks Entail?
9.9 The C-SON Versus D-SON Debate
9.10 Strategic Recommendations
9.10.1 SON & Conventional Mobile Network Optimization Solution Providers
9.10.2 Wireless Infrastructure OEMs
9.10.3 Wireless Carriers

Companies Mentioned

21 Vianet Group
2K Telecom
3 Austria
3 Denmark
3 HK
3 Ireland
3 Italia
3 Sweden
365 Media
3Roam
4G Americas
4ipnet
6WIND
A1 Telekom
Ablaze
Accedian
Accedian Networks
Accelleran
Accuver
Actelis
Actix
Adams NetWorks
ADLINK
ADTRAN
ADVA
Advantech
Aero2
Aerohive
Aeronet
Aexio
Aircel
Aircell
AIRCOM International
AirHop Communications
Airspan Networks
Airtel Nigeria
Airvana
AIS/DPC Thailand
Al Madar
Alaska Communications
Albis Technologies
Alcatel-Lucent
Alfa
Algar Telecom (CTBC)
Algerie Telecom
Alpha Networks
Altel
Altera
Alvarion
Amdocs
Andorra Telecom
Andrew
Antares Group
Antel
Anvaya Networks
Aptilo
Aqiva Wireless
Aquafon
Arcadyan
Argela
ARIB (Association of Radio Industries and Businesses, Japan)
Aricent
Arieso
ARItel
Armentel
Aruba Networks
Ascom
Asiaspace
Askey
ASOCS
Astellia
AT&T Mobility
ATDI
Athena Wireless Communications
ATIS (Alliance for Telecommunications Industry Solutions, U.S.)
Atrica
Avanti
Avea
Aviat Networks
Avvasi
Axell Wireless
Axerra Networks
Axis Teknologies
Azercell
Azerfon
b•lite
Babilon Mobile
Bakcell
Bakrie Telecom
Batelco
Bayan Telecommunications
BayRICS
Beeline
Beeline Lao
BelCel
Belgacom / Proximus
Bell Mobility
BendBroadband
BeST (Life)
BH Telecom
Bharti Airtel
Bhutan Telecom
Big Switch Networks
BigAir
BLiNQ Networks
Bluegrass Cellular
Blueline
BluWan
Bollore Telecom
Bouygues Telecom
Brazil Army
Brazil Sao Paulo Military Police
BridgeWave Communications
Broadcom
Brocade
Browan
BSNL
BT
BTC
BTI Systems
BTI Wireless
BTL
BUCD
Bulgaria Vivacom
Bytemobile
C Spire Wireless
C&S
Cable and Wireless
Cambium Networks
Canoga Perkins
Carolina West Wireless
Carrier Access Corporation
Cavium
CBL Bahamas
CBNL (Cambridge Broadband Networks Limited)
CCI (Communication Components Inc.)
CCS
CCSA (China Communications Standards Association, China)
CDMA Development Group
Ceclcom Axiata
CeedTec
Celcite
Cell C
Cellcom
CellO
Cellvine
Cellwize
Celtro
CENTRI
CenturyLink
Ceragon
Chariton Valley Comms
Charles Industries
Chat Mobility
China Mobile
China Mobile Hong Kong
China Telecom
China Unicom
CHT
Cielo
Ciena
Cisco Systems
Citrix
City of Charlotte Council
Claro
Clear Mobitel
CNT
COAI (Cellular Operators Association of India)
Cobham
Coherent Logix
Colorado Valley
Comarch
Comba Telecom
Commnet Wireless
CommScope
Commsquare
Contela
ConteXtream
Continuous Computing
Convergence Technologies
Copper Valley Telecom
Corning
Cosmote
COTA Murcia4G
Cross Telephone
Crown Castle
CSI
CSL Limited
Custer Telephone
Cyan
Cyan
Datame
DBD
Dedicado
DeltaNode
Deutsche Telekom
Dhiraagu
Dialog Axiata LTE TDD later FDD
Dialogic
DiGi
Digicel
Digicel Fiji
Digitel
Digitel Jamaica
Dish Network
D-Link
DNA
DoCoMo Pacific
DragonWave
DTAC – TriNet
DTM (Datang Mobile)
Du
E Plus
eAccess
Eastlink
E-Band Communications
ECE (European Communications Engineering)
ECI Telecom
Econet Wireless
Eden Rock Communications
Edgewater
EE
EION
Elisa
EMT
Emtel
EnergyAustralia Ausgrid
EnGenius
Entel Movil
Entel PCS
Entel Peru
Enterasys
ERA/T-Mobile Poland
Ericsson
ETC
Etex Telephone Co-op
EtherReach
Ethertronics
Ethio Telecom
Ethos
Etisalat
Etisalat Misr
ETRI (Electronics and Telecommunications Research Institute)
ETSI (European Telecommunications Standards Institute)
Evolve Broadband
Exalt
ExteNet Systems
Extreme Networks
FarEasTone
FastBack Networks
Fastlink (Regional Telecom)
Femtel
FibroLAN
Firetide
Fitel
Fjarskipti (Vodafone Iceland)
Forsk
Fortinet
FPT Telecom
Freescale Semiconductor
Fujitsu
Gemtek
Genband
Georgia Magticom
Glo Mobile
Globacom
Global Mobile
Globe
GoNet Systems
Goodman Networks
Gore
GrenTech
GSA
GSMA (GSM Association)
Guavus
Guineanet
GWT (Global Wireless Technologies)
Handlink
Hatteras
Hitachi
HP
Huahuan
Huawei
Hutchison 3
IBW International
ICE
iConnect
IDC Moldova
iDirect
IEEE (Institute of Electrical and Electronics Engineers)
IM2
Imagine Group
IMS Forum
InfoCommunication Union
InfoVista
Ingenia Telecom
InnerWireless (Acquired by Black Box)
Intel
InterDigital
Intracom
Intucell Systems
Inwi
Iowa Statewide Interoperable Communications Board (ISICSB)
ip.access
IPITEK
IPV6 Forum
Islandcom
IT&E Guam
JDSU
Juni
Juniper Networks
Kcell
KDDI
Kentrox
Kordia
KPN
KPN Base
KPU (Alaska)
KT
KT Corp Rwanda
Lanka Bell
Lantiq
Lattelecom
Lavastorm
Leap Wireless/Cricket
Lemko
LG U+
LightPoint Communications
Lightsquared
LIME
Linkem
LMT
LSI
LTC
M/A-COM Technology Solutions
M1
Manx Telecom
Mascom Wireless
Massnet
MAX Telecom
Maxim Integrated
Maxis
MaxyTel
Megafon
Menatelecom
Mentum
Meru Networks
Mesaplexx
Meteor
Microwave Networks
Mid-Rivers Communications
Milmex
mimoOn
Mindspeed Technologies
MiSpot
Mobile Norway/Tele2
MobileAccess
Mobily
Mobinil
Mobistar
Mobitel
Moldcell
Monaco Telecom
Mongolia Telecom
Mosaic Telecom
Motorola Solutions
Movicel
Movilmax
Movilnet
Movistar
MRV Communications
MTA
MTC
MTC Touch
M-Tel
MTN
MTN Uganda
MTNL
MTPCS
MTS
MTS Allstream
MTS Belarus
MTS Ukraine
Myanmar P & T
Nawras
NBN Co.
Ncell
NEC
Neo-Sky
Neotel
Nepal Telecom
NetGear
NetLogic Microsystems
Netronome
Newfield Wireless
NewNet
Nexius
NGMN (Next Generation Mobile Networks)
NITA
Node-H
Nomadix
Nomor Research
Nortel Networks
NorthwestCell
Nova
NSN (Nokia Solutions & Networks)
nTelos
nTelos Wireless
NTT DoCoMo
Nuage Networks (Alcatel-Lucent)
O2 Secure Wireless
Octasic
Oi
Omantel
Omnitel
On Telecomunicacoes
ONE
Ooredoo
Open Mobile
Optimi
Optimus
Optiway
Optulink
Optus
Orange Armenia
Orange Austria
Orange Dominicana
Orange France
Orange Liechtenstein
Orange Luxembourg
Orange Mauritius
Orange Moldova
Orange Romania
Orange Slovak Republic
Orange Spain
Orange Switzerland
Orange Uganda
Orckit Corrigent
Osnova Telecom
Overture
P&T
P.I.Works
P1 Networks
P4 (Play)
Pandetel
Panhandle Telephone Co-op
PCCW
Peoples Telephone Co-op
Personal
PicoChip
Pioneer Cellular
Plano Engineering
Plexxi
Polkomtel Plus
Positron-Aktino
Powerwave Technologies
Proxim
PTK Centertel (Orange)
Public Service Wireless
Public Wireless
PureWave Networks
PVT
Qualcomm
Quortus
R (Spain)
RAD Data Systems
RADCOM
Radisys
RADWIN
Rakon
RCS & RDS
Redline Communications
REDtone
Reliance
Reverb Networks
RF Window
RFNet
RFS (Radio Frequency Systems)
Rogers Wireless
Rohde & Schwarz
Rorotika
Rostelecom
Ro-Timak Technology
Ruckus Wireless
RusViet Telecom
S and R Communications
S&T Telephone Cooperative
Safaricom
Sagebrush Cellular (Nemont)
Sagem
Sagemcom
SAI Technology
Saima Telecom
Samsung
Sasktel
Sazz
Schema
SEDICOM
SerComm
SFR
SGRITA
Shentel
Shyam Networks
Si.mobil
SIAE Microelectronics
Siklu
Siminn
SingTel
SK Telecom
SK Telesys
Sky Brazil
Small Cell Forum
Smart Communications
Smartone
SMARTS
Smile
Smoltelecom
Softbank
Softbank Mobile
SOLiD Technologies
Spectranet
SpeedConnect
SpiderCloud Wireless
Sprint
Sprint Nextel
Sprocket Wireless
SRT Communications
SSTL
Star Microwave
Starcomms
StarHub
STC
Strata Networks
Strix Systems
Sub10 Systems
Sunrise Communications
Surfline Communications
SWIFT Networks
Swisscom
Sycamore
Symena
Syringa Wireless
T Mobile
Tango
Tango Networks
Taqua
Tarana Wireless
Tata Elxsi
TCCA (TETRA and Critical Communications Association)
TDC
TD-Forum
TDIA (TD Industry Alliance)
TE Connectivity (Tyco Electronics Connectivity)
Tecom
TEKTELIC
Tektronix Communications
Telcel
Telco Systems
Tele2
Tele2 Kazakhstan
Tele2 Sweden
Telecom Italia Mobile (TIM)
Telecom Malaysia
Telecom New Zealand
Telefonica Movistar
Telefonica O2
Telefonica O2 Ireland
Telefonica O2 UK
Telefonica Peru
Telefonica Spain
Telekom Srpske
Telenet Belgium
Telenor Denmark
Telenor Hungary
Telenor Montenegro
Telenor Norway
Telenor Sweden
Telesis
TeliaSonera
TeliaSonera Norway
TeliaSonera Sweden
Telkom Mobile (8ta)
Telkomsel Indonesia
Tellabs
Telrad
Telstra
Telus
TEOCO
Teradata
Texas Energy Network
Texas Instruments
TFL
Theta Networks
Thomson
T-Hrvatski Telekom
Thumb Cellular
Tigo
Tikona
TIM Brasil
TM Forum (TeleManagement Forum)
TMC
TMN (Portugal Telecom)
T-Mobile Czech Republic
T-Mobile Hungary
T-Mobile Macedonia
T-Mobile Netherlands
T-Mobile Puerto Rico
T-Mobile Slovensko
T-Mobile USA
TN Mobile
TOT Thailand
TPG Internet
TP-Link
TRaC Global
Trango Systems
Transmode
Tranzeo
Trendium
Triatel
Tricom
Tropos
True Move
TSKL
TTA (Telecommunications Technology Association, Korea)
TTC (Telecommunication Technology Committee, Japan)
TTG International
TTK
Tulinx
Tunisiana
Turkcell
U Mobile
UbeeAirWalk
Ubidyne GmBH
Ubiquisys
Ubiquiti Networks
u-blox
UCell
UK Broadband
Ulusnet
Umniah
UMTS Forum
Une-EPM
United Wireless
Unitel
US Cellular
Vainakh Telecom
VDC (VNPT)
Vector
Velatel
Velatel-Aerostrong
Verizon Wireless
Videocon
Videotron
Viettel
Vimpelcom
VIP mobile
VIPNet
Visafone Communications
Viva
Vivacell-MTS
Vivato
Vivo
VMWare
Vodacom
Vodacom Tanzania
Vodafone
Vodafone Australia
Vodafone Czech Republic
Vodafone Egypt
Vodafone Fiji
Vodafone Greece
Vodafone Ireland
Vodafone Italy
Vodafone New Zealand
Vodafone Portugal
Vodafone Qatar
Vodafone Romania
Vodafone Spain
Vodafone UK
Vox
VTel Wireless
Vubiq
Wataniya
Wataniya Telecom
WBS (iBurst)
WebRadar
West Central Wireless
Wi-Ex
Wilson Electronics
Wind
Wind Mobile
WNC (Wistron NeWeb Corp.)
Woosh
Xceed Technologies
Xilinx
XL Axiata
Xplornet
Yoigo
Yota
YTL Communications Yes
Zain
Zain Jordan
Zain Saudi
Zamtel
Zhone
Ziggo
Zinwave
Zoda Fones
ZTE


Read the full report:
The Self-Organizing Networks (SON) Ecosystem: 2014 - 2020

https://www.reportbuyer.com/product/2051949/The-Self-Organizing-Networks-SON-Ecosystem-2014---2020.html

For more information:
Sarah Smith
Research Advisor at Reportbuyer.com
Email: query@reportbuyer.com
Tel: +44 208 816 85 48
Website: www.reportbuyer.com

 

 

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