ResearchMoz prepared this most up-to-date research on "The SON (Self-Organizing Networks) Ecosystem: 2016 - 2030 - Opportunities, Challenges, Strategies & Forecasts".
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.
Get PDF for More Professional and Technical insights @ https://www.researchmoz.us/enquiry.php?type=S&repid=835177
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
Get Complete TOC With Tables and Figures @ https://www.researchmoz.us/the-son-selforganizing-networks-ecosystem-2016-2030-opportunities-challenges-strategies-forecasts-report.html/toc
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 K?br?s 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
Request Sample Copy of Report @ https://www.researchmoz.us/enquiry.php?type=S&repid=835177
Countires Covered
Australia
Brazil
Canada
China
France
Germany
India
Italy
Japan
Russia
South Korea
Spain
Taiwan
UK
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.
Get PDF for More Professional and Technical insights @ https://www.researchmoz.us/enquiry.php?type=S&repid=835177
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
Get Complete TOC With Tables and Figures @ https://www.researchmoz.us/the-son-selforganizing-networks-ecosystem-2016-2030-opportunities-challenges-strategies-forecasts-report.html/toc
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 K?br?s 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
Request Sample Copy of Report @ https://www.researchmoz.us/enquiry.php?type=S&repid=835177
Countires Covered
Australia
Brazil
Canada
China
France
Germany
India
Italy
Japan
Russia
South Korea
Spain
Taiwan
UK
