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Mobile Mapping Market Report 2015-2020

Mobile Mapping Market Report 2015-2020
Driving Value in Location Based Services (LBS), Local Search, Geolocation, SoLoMo, GIS &Spatial Data

Publication date: 22 July 2015
Number of Pa ges: 110
------------------------------------------------------------

The latest report from business intelligence provider Visiongain offers comprehensive analysis of the global mobile mapping market. Visiongain assesses that this market will generate revenues of $30.56 billion in 2015.

Now: Uber Loses $3bn Bid For Nokia HERE Maps To German Car Makers.
This is an example of the business critical headline that you need to know about - and more importantly, you need to read The latest report from business intelligence provider visiongain offers comprehensive analysis of the global mobile mapping market. Visiongain assesses that this market will generate revenues of $30.56 billion in 2015.

How this report will benefit youRead on to discover how you can exploit the future business opportunities emerging in this sector. Visiongain's new study tells you and tells you NOW.

In this brand new report you find 69 in-depth tables, charts and graphs PLUS AN EXCLUSIVE interview – all unavailable elsewhere.

The 110 page report provides clear detailed insight into the global mobile mapping market. Discover the key drivers and challenges affecting the market.

By ordering and reading our brand new report today you stay better informed and ready to act.

Report Scope
• Global mobile mapping market forecasts from 2015-2020
• Regional mobile mapping market forecasts from 2015-2020 covering Asia-Pacific, South America, Europe, Middle East and Africa, and North America, further subdivided into 5 submarkets providing 30 market spaces for further granularity
• Country mobile mapping forecasts from 2015-2020 covering China, the US, the UK, and Japan also further subdivided into the 5 submarkets, providing a further 20 markets segments and insight into the market.
• Mobile mapping submarket forecasts from 2015-2020 covering location-based services, location-based mobile search, indoor mapping, 3D mapping, and licensing. These forecasts are at the global level and regional level revealing 30 market spaces to explore
• Analysis of the key factors driving growth in the global, regional and country level mobile mapping markets from 2015-2020
• Profiles of the leading 6 mobile mapping companies in 2015 analysing their products and future prospects
• An Interviews with key opinion leaders Elliott Hamilton of TeleCommunications Systems, informing and underpinning the analysisisiongain's objective analysis of how this will impact your company and the industry more broadly. How are you and your company reacting to this news? Are you sufficiently informed?

-------------- ----------------------------------------------

Table of Contents

1. Report Overview
1.1 Global Mobile Mapping Market Overview
1.2 Global Mobile Mapping Market Structure
1.3 Why You Should Read This Report
1.4 How This Report Delivers
1.5 Key Questions Answered by This Analytical Report Include:
1.6 Who is This Report For?
1.7 Methodology
1.8 Frequently Asked Questions (FAQ)
1.9 Associated Visiongain Reports
1.10 About Visiongain

2. Introduction to the Mobile Mapping Market
2.1 Vast Potential for LBS Driven by Smartphones and Social Media
2.2 Early Challenges in Monetising Mobile Mapping
2.3 New Form Factors are Amplifying the Mobile Arena
2.4 Mobile Local Search
2.5 Location Technologies that Enable Maps on Mobile Devices
2.6 What are the Main Use Cases for Mobile Mapping?
2.6.1 Practical Applications of Mobile Mapping and Geolocation
2.7 Technical Considerations
2.8 Market Definition

3. Global Mobile Mapping Forecasts and Projections 2015-2020
3.1 Defining the Market Size
3.2 Global Mobile Mapping Revenue Forecast 2015-2020
3.3 Global LBS Market Leading Segment Forecasts 2015-2020

4. Regional Location-Based Services Forecasts 2015-2020
4.1 Outlining the Dominant World Regions
4.2 Regional Mobile Maps Revenue Forecast 2015-2020
4.3 North American Mobile Maps Forecasts 2015-2020
4.3.1 North American Mobile Maps Segment Forecast 2015-2020
4.3.2 US National Mobile Maps Forecasts 2015-2020
4.4 Latin American Mobile Maps Forecasts 2015-2020
4.4.1 Latin American Mobile Mapping Segment Forecasts 2015-2020
4.5 Asia-Pacific Mobile Mapping Fo recasts 2015-2020
4.5.1 How Asian Vendors Plan to Develop and Master Indoor LBS Accuracy, and Revenue Implications Thereof
4.5.2 Asia-Pacific Mobile Maps Segment Forecasts 2015-2020
4.5.3 Chinese National Mobile Maps Market Forecast 2015-2020
4.5.4 Japanese National Mobile Maps Market Forecast 2015-2020
4.6 European Mobile Mapping Forecasts 2015-2020
4.6.1 European Mobile Mapping Segment Forecasts 2015-2020
4.6.2 The UK National Mobile Mapping Forecast 2015-2020
4.6.3 Effects of Automotive Legislation on Connected Mobile Map Subscription Base in Europe
4.6.4 What will be the impact of Intersec Releasing a New Version of IGLOO?
4.7 Middle East and African Mobile Mapping Forecasts 2015-2020

5. Current Mobile Mapping Market Analysis
5.1 How Will the Growth of Apps Affect LBS and MLS?
5.1.1 Understanding the Relevance of Social Media
5.1.2 Uses for LBS – Consumer vs. Enterprise
5.2 The Consumer Mobile Mapping Value Chain
5.4 Loc ation-Based Media
5.5 The Importance of the Global Mobile Advertising Market
5.5.1 Location-based Advertising: Push vs. Pull
5.5.2 What will be the Potential Impact of LBA?
5.6 Mobile Local Search to Reap Greatest Revenues?
5.6.1 How to Monetise Mobile Local Search?
5.6.2 Which are the Best Mobile Local Search Business Models?
5.6.2.1 Caller Pays Model
5.6.2.2 Advertiser Pays Model
5.6.2.3 Hybrid Model
5.6.3 Summary and Analysis of Mobile Local Search Business Models
5.7 Geo Fencing - Location-based Marketing
5.7.1 Geo Fencing – Other Potential Uses
5.8. How to Monetise Location-Based Applications
5.9 LBS for Enterprise – A Better Opportunity for Monetisation?
5.9.1 Business Case for Location Apps and M2M in Enterprise
5.10 Monetising Strategy – How Can Carriers Turn Location-Based Apps into Revenue?
5.11 How Can Carriers Monetise LBS?
5.11.1 Learn how Privacy and Fraud Issues Hamper Carrier Benefits
5.11.2 How the Revenue Sha re Model is Preventing Carrier Involvement
5.11.3 How are Operators becoming Essential Players in the LBS Market?
5.11.4 Operators Able to use Customer Segmentation for LBS

6. Leading Companies in the Mobile Mapping Market
6.1 Foursquare
6.1.1 Foursquare History and Recent Developments
6.1.2 Recent Developments and Additions
6.1.2 How is Foursquare being Monetised?
6.1.2.1 Implementing Database Access Charges
6.2 TomTom
6.2.1 Read About TomTom's Recent Developments
6.2.3 TomTom Navigator
6.2.4 TomTom for Android
6.3 Google Maps
6.3.1 How Has Google Maps Impacted the Broader Mobile Mapping Market
6.3.2 How Does Google Monetise its Mapping Services?
6.3.3 Integrated Services
6.4 TeleCommunications Systems
6.4.1 TCS Status as an End-to-end LBS Services Provider
6.4.1.1 TCS Application Suite
6.5 Nokia and Qualcomm Partnership Makes Bid to Advance Interior Positioning Technology Market
6.5.1 Nokia HERE – Delivering Precision to Indoor Mapping
6.5.2 Qualcomm Bringing Positioning Capabilities to the Equation
6.5.3 Speculation of HERE Acquisition by Uber and Implications for the Broader Automotive Industry
6.6 ViaMichelin
6.6.1 ViaMichelin on Mobile
6.7 Other Leading Vendors in Mobile Mapping

7. Expert Opinion
7.1 Elliott Hamilton, Senior Director of Strategic Planning, TeleCommunications Systems
7.1.1 Mobile Mapping Rudiments and Core Offerings from an Operator or Vendor Perspective
7.1.2 Defining Revenue Streams for Location-Based Applications
7.1.3 Market Outlook for Tethered and Native In-Vehicle Connectivity
7.1.4 Vendor Response to Consumer Cries for Greater Mobile Privacy and Security
7.1.5 Impact of Wearable Smart Devices on the Mobile Mapping Market
7.1.6 LBS Market Dynamics in the Different World Regions: Contributing Factors and Trends

8. Conclusions and Recommendations
8.1 Global and Regional Mobile Mapping Revenue Fo recast and Analysis 2015-2020
8.2 What Are the Most Successful Revenue Models in the Mobile Mapping Sphere?
8.3 Who will Emerge as the leader In the Mobile Mapping Market?
8.4 Visiongain's Recommendations for Operator Success
8.4.1 Recommendations for Operator Entry into the Mobile Mapping Market
8.5 What are the Barriers to Mobile Mapping Success?
8.6 Drivers for Mobile Mapping Success in the Current Market
8.7 What Are the Features of a Successful Mapping Application?
8.9 Concluding Statements

9. Glossary
------------------------------------------------------------

Li st of Tables

Table 2.1: Enabling Technologies for Mobile Maps
Table 2.2: Mobile Maps Application Archetypes
Table 2.3: Essential Components of Mobile Maps Described
Table 3.1: Global Mobile Maps Revenue Forecast 2015-2020 ($ billion, AGR %, CAGR %, Cumulative)
Table 3.2: Global Mobile Maps Segment Revenue Forecast 2015-2020 ($ billion, AGR%)
Table 3.3: Global Mobile Maps Segment Share Forecast 2015-2020 (%)
Table 4.1: Regional Mobile Maps Revenue Forecast 2015-2020 ($ billion, AGR%)
Table 4.2: North American Mobile Maps Revenue Forecast 2015-2020 ($ bn, AGR %, CAGR %, Cumulative)
Table 4.3: North American Mobile Maps Segment Revenue Forecast 2015-2020 ($ billion, AGR%)
Table 4.4: US National Mobile Maps Revenue Forecast 2015-2020 ($ bn, AGR %, CAGR %, Cumulative)
Table 4.5: US National Mobile Maps Segment Revenue F orecast 2015-2020 ($ billion, AGR%)
Table 4.6: Latin American Mobile Maps Revenue Forecast 2015-2020 ($ bn, AGR %, CAGR %, Cumulative)
Table 4.7: Latin American Mobile Maps Segment Revenue Forecast 2015-2020 ($ billion, AGR%)
Table 4.8: Asia-Pacific Mobile Maps Revenue Forecast 2015-2020 ($ bn, AGR %, CAGR %, Cumulative)
Table 4.9: Asia-Pacific Mobile Maps Segment Revenue Forecast 2015-2020 ($ billion, AGR%)
Table 4.10: Chinese National Mobile Maps Revenue Forecast 2015-2020 ($ bn, AGR %, CAGR %, Cumulative)
Table 4.11: Chinese National Mobile Maps Segment Revenue Forecast 2015-2020 ($ billion, AGR%)
Table 4.12: Japanese National Mobile Maps Revenue Forecast 2015-2020 ($ bn, AGR %, CAGR %, Cumulative)
Table 4.13: Japanese National Mobile Maps Segment Revenue Forecast 2015-2020 ($ billion, AGR%)
Table 4.14: European Mobile Maps Revenue Forecast 2015-2020 ($ bn, AGR %, CAGR %, Cumulative)
Table 4.15: European Mobile Maps Segment Revenue Forecast 2015-2020 ($ billion, AGR%)
Table 4.16: UK National Mobile Maps Revenue Forecast 2015-2020 ($ bn, AGR %, CAGR %, Cumulative)
Table 4.17: UK National Mobile Maps Segment Revenue Forecast 2015-2020 ($ billion, AGR%)
Table 4.18: MEA Mobile Maps Revenue Forecast 2015-2020 ($ bn, AGR %, CAGR %, Cumulative)
Table 4.19: MEA Mobile Maps Segment Revenue Forecast 2015-2020 ($ billion, AGR%)
Table 5.1: Global Mobile Advertising Forecast 2015-2020 ($ bn, AGR %, CAGR %, Cumulative)
Table 5.2: Routes to Monetisation of Mobile Maps Apps
Table 6.1: TomTom for Android Key Features
Table 6.2: TCS End-to-end Mobile Maps Infrastructure Product List
Table 6.3: Leading Mobile Maps Vendors and Related Products
Table 8.1: Leading Revenue and Monetisation Strategies for Mobile Mapping Vendors
Table 8.2: Key Features of a Successful Commercial Mobile Maps Application

----------------------- -------------------------------------

List of Charts

Chart 1.1: Japanese National Mobile Mapping Revenue Forecast 2015-2020 ($ billion, AGR %)
Chart 3.1: Global Mobile Maps Revenue Forecast 2015-2020 ($ billion, AGR%)
Chart 3.2: Global Mobile Maps Segment Revenue Forecast 2015-2020 ($ billion)
Chart 3.3: Global Mobile Maps Segment Share Forecast 2015; 2017; 2020 (%)
Chart 4.1: Regional Mobile Maps Revenue Forecast 2015-2020 ($ billion)
Chart 4.2: Regional Mobile Maps Revenue Share Forecast 2015; 2017; 2020 (%)
Chart 4.3: North American Mobile Maps Revenue Forecast 2015-2020 ($ bn, AGR %)
Chart 4.4: North American Mobile Maps Segment Revenue Forecast 2015-2020 ($ billio n)
Chart 4.5: US National Mobile Maps Revenue Forecast 2015-2020 ($ bn, AGR %)
Chart 4.6: US National Mobile Maps Segment Revenue Forecast 2015-2020 ($ billion)
Chart 4.7: Latin American Mobile Maps Revenue Forecast 2015-2020 ($ bn, AGR %)
Chart 4.8: Latin American Mobile Maps Segment Revenue Forecast 2015-2020 ($ billion)
Chart 4.9: Asia-Pacific Mobile Maps Revenue Forecast 2015-2020 ($ bn, AGR %)
Chart 4.10: Asia-Pacific Mobile Maps Segment Revenue Forecast 2015-2020 ($ billion)
Chart 4.11: Chinese National Mobile Maps Revenue Forecast 2015-2020 ($ bn, AGR %)
Chart 4.12: Chinese National Mobile Maps Segment Revenue Forecast 2015-2020 ($ billion)
Chart 4.13: Japanese National Mobile Maps Revenue Forecast 2015-2020 ($ bn, AGR %)
Chart 4.14: Japanese National Mobile Maps Segment Revenue Forecast 2015-2020 ($ billion)
Chart 4.15: European Mobile Maps Revenue Forecast 2015-2020 ($ bn, AGR %)
Chart 4.16: European Mobile Maps Segment Revenue Forecast 2 015-2020 ($ billion)
Chart 4.17: UK National Mobile Maps Revenue Forecast 2015-2020 ($ bn, AGR %)
Chart 4.18: UK National Mobile Maps Segment Revenue Forecast 2015-2020 ($ billion)
Chart 4.19: MEA Mobile Maps Revenue Forecast 2015-2020 ($ bn, AGR %)
Chart 4.20: MEA Mobile Maps Segment Revenue Forecast 2015-2020 ($ billion)
Chart 5.1: Global Mobile Advertising Revenue Forecast 2015-2020 ($ bn, AGR %)
Chart 6.1: Foursquare Check-in Share by Location Type 2014 (%)
Chart 6.2: Global TomTom Revenue Share by Business Division 2013 (%)
Chart 6.3: Global TomTom Revenue Share by Business Division 2014 (%)
Chart 6.4: Global TomTom Revenue Share by Sales Type 2013 (%)
Chart 6.5: Global TomTom Revenue Share by Sales Type 2013 (%)

------------------------------------------------------------

List of Figures

Figure 1.1: Mobile Mapping Market Structure Overview
Figure 2.1: Geolocation Technologies and How They Interrelate
Figure 2.2: LBS Essential Component Infographic
Figure 5.1: LBS App Ecosystem Infographic

------------------------------------------------------------

Companies Mentioned in this report

Alcatel-Lucent
Alexa
Amazon
Apple
AT&T
Atheros , Inc.
Audi AG
Autonavi
Badoo
Baidu
Base
Bharti Airtel
BlackBerry
Blendr
BMW
BouyguesTelecom
Bravo
Broadcom
China Mobile
Condé Nast
Creativity Software
eBay
E-Plus
Ericsson
Facebook
FamilyMap
Flickr
Foursquare
Garmin
GM
Google
Gowalla
Grindr
Groupon
HERE (Nokia)
IndoorAtlas
Intersec
Leap Wireless
Loopt
Magellan
Mapbox
MapMyFitness
MapQuest
Mercedes-Benz
MetroPCS
Michelin Group
Microsoft
MobileLBS
Moblog
Motorola Solutions
MTS Russia
MyTown
Navizon
Navteq
New York Times
Nintendo
Nokia
NTT DoCoMo
O2
Onstar
OpenStreetMap
Panoramio
Pinterest
Placecast
Polaris Wireless
Portugal Telecom
Qualcomm
Rummble
RunKeeper
RX Networks
Samsung
Samsung Electronics
SFR
SFR
Shopkick
Skyhook Wireless
Snocator
Sony
Sprint
Telecom
TeleCommunications Systems Inc. (TCS)
Telefónica< br>TeleNav
Telus Mobility
The Strategis Group
TomTom
Trimble Outdoors
TruePosition
Twitter
Uber
UbiEst
Urbanspoon
Verizon
ViaMichelin
Viettel
Vine
Vodafone
Volkswagen
Where 2 Technologies
Wind Italia
Yahoo!
Yellow Pages
Yelp
Zagat
ZTE

Other Organisations Mentioned in This Report
Canada Geographical Information System
Canadian Land Inventory
CTIA – The Wireless Association
Environmental Systems Research Institute
European Union
Harvard Laboratory for Computer Graphics
In-location Alliance
New York University
The United States Federal Communications Commission (FCC)

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Автор: ruten на 03:00 0 коммент.

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Автор: ruten на 01:27 0 коммент.

суббота, 19 декабря 2015 г.

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Автор: ruten на 17:06 0 коммент.

пятница, 18 декабря 2015 г.

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Автор: ruten на 05:39 0 коммент.

Здравствуйте! Это отдел продаж?

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Автор: ruten на 02:07 0 коммент.

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потенциальных клиентов для Вашего Бизнеса!

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вести любые прямые активные ПРОДАЖи ВАШИХ ТОВАРОВ и УСЛУГ!

Собираем Много! Быстро! Недорого!

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Для того, чтобы ее получить пришлите нам описания видов

деятельности Ваших потенциальных клиентов и

список желаемых городов их расположения!

Пример вышлем незамедлительно!

УЗНАЙТЕ ПОДРОБНЕЕ по телефону у нас есть что Вам рассказать!

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DETAILS ONLINE:

Viber: +79133913837

Whatsapp: +79133913837

Skype: prodawez389

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EMAIL: gdrozdova37@gmail.com

WEB ONLINE: http://bit.ly/1OwxX19

ОТПИСАТЬСЯ ОТ ПОДОБНЫХ ПИСЕМ

Автор: ruten на 00:58 0 коммент.

четверг, 17 декабря 2015 г.

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The SDN, NFV & Network Virtualization Ecosystem: 2015 - 2030 - Opportunities, Challenges, Strategies & Forecasts (Report)

The SDN, NFV & Network Virtualization Ecosystem: 2015 – 2030 – Opportunities, Challenges, Strategies & Forecasts

Hello

I wanted to bring to your attention the latest SNS Research report in which you might be interested, " The SDN, NFV & Network Virtualization Ecosystem: 2015 – 2030 – Opportunities, Challenges, Strategies & Forecasts."

I believe this report will be highly applicable for you and your team. If you would like to see the report sample or have any questions, please let me know.

Report Information:

Release Date: December 2015

Number of Pages: 429

Number of Tables and Figures: 89

Report Overview:

While the advantages of SDN (Software Defined Networking) and network virtualization are well known in the enterprise IT and data center world, both technologies also bring a host of benefits to the telecommunications service provider community. Not only can these technologies help address the explosive capacity demand of mobile traffic, but they can also reduce the CapEx and OpEx burden faced by service providers to handle this demand by diminishing reliance on expensive proprietary hardware platforms. The recognition of these benefits has led to the emergence of the NFV (Network Functions Virtualization) concept that seeks to virtualize and effectively consolidate many service provider network elements onto multi-tenant industry-standard servers, switches and storage.

Mobile operators and internet service providers have already begun making SDN and NFV investments in a number of functional areas including but not limited to EPC/mobile core, IMS, policy control, CPE (Customer Premises Equipment), CDN (Content Delivery Network) and transport networks. SNS Research estimates that service provider SDN and NFV investments will grow at a CAGR of 54% between 2015 and 2020. As service providers seek to reduce costs and virtualize their networks, these investments will eventually account for over $20 Billion in revenue by the end of 2020.

The "SDN, NFV & Network Virtualization Ecosystem: 2015 – 2030 – Opportunities, Challenges, Strategies & Forecasts" report presents an in-depth assessment of the SDN, NFV and network virtualization ecosystem including enabling technologies, key trends, market drivers, challenges, use cases, deployment case studies, regulatory landscape, standardization, opportunities, future roadmap, value chain, ecosystem player profiles and strategies. The report also presents market size forecasts from 2015 till 2030. The forecasts are segmented for 10 submarkets, 2 user base categories, 9 use cases, 6 regions and 34 countries.

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

Key Findings:

The report has the following key findings:

SNS Research estimates that service provider SDN and NFV investments will grow at a CAGR of 54% between 2015 and 2020, eventually accounting for over $20 Billion in revenue by the end of 2020.
At present, virtualized EPC/mobile core, IMS and policy control platforms represent over 70% of all VNF (Virtual Network Function) software investments.
Although the use of SDN is widespread in the enterprise and data center domain, service providers are only beginning to adopt the technology to programmatically manage their networks.
Investments on orchestration platforms will account for nearly $2 Billion in revenue by the end of 2020, representing nearly 10% of all service provider SDN and NFV spending.
The growing adoption of SDN and NFV has created a natural opportunity for silicon and server OEMs to combine their server platforms with a networking business stream.

Topics Covered:

The report covers the following topics:

SDN, NFV and network virtualization ecosystem
Market drivers and barriers
Enabling technologies, protocols, architecture and key trends
Use cases, applications, PoC (Proof of Concept) and deployment case studies
CapEx saving potential of SDN and NFV
Orchestration and management platforms
Regulatory landscape and standardization
Industry roadmap and value chain
Profiles and strategies of over 240 leading ecosystem players
Strategic recommendations for ecosystem players
Market analysis and forecasts from 2015 till 2030

Forecast Segmentation:

Market forecasts are provided for each of the following submarkets, user base and use case categories:

Submarkets
- SDN Hardware & Software
- NFV Hardware & Software
- Other Network Virtualization Software

User Base Categories
- Service Providers
- Enterprises & Data Centers

NFV Submarkets
- Hardware Appliances
- Orchestration & Management Software
- VNF Software

Service Provider SDN Submarkets
- SDN-Enabled Hardware Appliances
- Orchestration & Management Software
- SDN Controller Software
- Network Applications Software

Enterprise & Data Center SDN Submarkets
- SDN-Enabled Hardware Appliances
- SDN-Enabled Virtual Switches
- SDN Controller Software

Service Provider Use Case Categories
- CDN
- CPE
- Data Center
- EPC/Mobile Core
- Fixed Access Networks
- IMS & VoLTE
- Policy, OSS & BSS
- RAN (Radio Access Network)
- Transport & Backhaul

Regional Markets

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

Country Markets

Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany, India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK and USA

Additional forecasts are provided for:

SDN and NFV Induced Service Provider CapEx Savings by Region

Key Questions Answered:

The report provides answers to the following key questions:

How big is the SDN, NFV and network virtualization opportunity?

What trends, challenges and barriers are influencing its growth?

How is the ecosystem evolving by segment and region?

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

Which regions, submarkets and countries will see the highest percentage of growth?

How are service provider led initiatives driving SDN and NFV investments?

How does regulation impact the adoption of SDN and NFV centric networks?

How can NFV make the VoLTE (Voice over LTE) business case work?

How can software defined DPI (Deep Packet Inspection) complement SDN functionality?

What level of CapEx savings can SDN and NFV facilitate for service providers?

Do SDN and NFV pose a threat to traditional network infrastructure vendors?

Who are the key market players and what are their strategies?

Is there a ring leader in the SDN and NFV ecosystem?

What strategies should enabling technology providers, network infrastructure vendors, mobile operators and other ecosystem players adopt to remain competitive?

Report Pricing:

Single User License: USD 2,500

Company Wide License: USD 3,500

Ordering Process:

Please contact Andy Silva on andy.silva@snscommunication.com

Provide the following information:

1.   Report Title -s
2.   Report License - (Single User/Company Wide)
3.   Name -
4.   Email -
5.   Job Title -
6.   Company -
7.   Invoice Address -

Please contact me if you have any questions, or wish to purchase a copy. Table of contents and List of figures mentioned below for your better inside.

I look forward to hearing from you.

Kind Regards

Andy Silva

Marketing Executive

Signals and Systems Telecom

Reef Tower
Jumeirah Lake Towers
Sheikh Zayed Road
Dubai, UAE

_____________________________________________________________________________________________________________________________________________________

Table of Content

1.1 Executive Summary
1.2 Topics Covered
1.3 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: An Overview of SDN, NFV & Network Virtualization
2.1 What is Network Virtualization?
2.2 What is SDN (Software Defined Networking)?
2.3 SDN Protocols
2.3.1 OpenFlow
2.3.2 BGP-TE (Border Gateway Protocol - Traffic Engineering)
2.3.3 PCEP (Path Computation Element Protocol)
2.3.4 I2RS (Interface to the Routing System)
2.3.5 VxLAN (Virtual Extensible LAN)
2.3.6 ALTO (Application Layer Traffic Optimization)
2.3.7 IETF Software Driven Networks
2.4 SDN Implementation Approaches
2.4.1 Network Virtualization Approach
2.4.2 Evolutionary Approach
2.4.3 The "Central Control" Approach
2.5 What is NFV (Network Functions Virtualization)?
2.6 NFV Enabling Technologies
2.6.1 Cloud Computing and Network Virtualization
2.6.2 Open Management and Control Protocols
2.6.3 Industry Standard High-Volume Servers
2.7 NFV Implementation Architecture
2.7.1 NFVI (NFV Infrastructure)
2.7.1.1 Hardware Resources
2.7.1.2 Virtualized Resources
2.7.2 VNFs (Virtualized Network Functions)
2.7.3 NFV-MANO (NFV-Management and Orchestration)
2.7.3.1 VIM (Virtualized Infrastructure Manager)
2.7.3.2 Orchestrator
2.7.3.3 VNF Manager
2.8 How SDN and NFV Differ from Each Other?
2.8.1 Similarities and Differences
2.8.2 Can Both Technologies Complement Each Other?
2.8.3 How Are Vendors Positioning their Solutions?
2.9 Market Drivers
2.9.1 Leveraging Generic Low-cost Hardware
2.9.2 Multi-tenancy on Same Hardware
2.9.3 Reduced Power Consumption
2.9.4 Faster TTM (Time to Market)
2.9.5 Improved Operational Efficiency & Performance
2.9.6 Centralized Provisioning and Network Control
2.9.7 Ability to Launch New Services & Virtual Networks Quickly
2.9.8 Dynamic Scaling of Services
2.9.9 Opening the Door to Multi-vendor Interoperability
2.9.10 CapEx and OpEx Reduction
2.9.11 Fast Troubleshooting and Improved Diagnostics
2.9.12 Vendor Support
2.10 Market Barriers
2.10.1 Lack of Standardization & Technology Maturity
2.10.2 Uncertain Cost-Benefits Tradeoffs
2.10.3 NFV May Slow/Delay Traffic
2.10.4 Will Multi-vendor Interoperability Really Work?
2.10.5 Co-Existence with Legacy Networks: Integration Challenges

3 Chapter 3: SDN & NFV Use Case Scenarios
3.1 Enterprise, Data Center & Generic Use Cases
3.1.1 Network Virtualization
3.1.2 Scalable Data Centers
3.1.3 Tap Aggregation
3.1.4 Dynamic WAN Re-Routing
3.1.5 Network Exchange: Interconnecting Physical Networks
3.1.6 Improved Traffic Engineering
3.1.7 Converged Storage
3.2 Service Provider Centric Use Cases
3.2.1 RAN Virtualization
3.2.2 C-RAN (Cloud RAN)
3.2.3 Wireline Fixed Access Network Virtualization
3.2.4 CPE & Home Network Environment Virtualization
3.2.5 Mobile Backhaul Virtualization
3.2.6 EPC/Mobile Core Virtualization
3.2.7 IMS & VoLTE Virtualization
3.2.8 DPI Virtualization
3.2.9 Policy Functions Virtualization
3.2.10 Virtual Routers
3.2.11 Virtualization & Control of Security Functions
3.2.12 Virtualization of CDNs
3.2.13 Service Chaining
3.2.14 Bandwidth on Demand
3.2.15 Packet-Optical Integration
3.2.16 SDN/NFV Iaas (Infrastructure as a Service)
3.2.17 VNFaas (Virtual Network Function as a Service)
3.2.18 VNPaaS (Virtual Network Platform as a Service)

4 Chapter 4: SDN & NFV Deployment Case Studies
4.1 Service Provider Deployment Case Studies
4.1.1 AT&T
4.1.2 BT Group
4.1.3 China Mobile
4.1.4 DT (Deutsche Telekom)
4.1.5 KDDI Corporation
4.1.6 KT Corporation
4.1.7 LG Uplus
4.1.8 Mobily Saudi Arabia
4.1.9 NAKA Mobile
4.1.10 NTT Communications
4.1.11 NTT DoCoMo
4.1.12 PT (Portugal Telecom) /Oi
4.1.13 SingTel
4.1.14 SK Telecom
4.1.15 SoftBank
4.1.16 Telekom Austria Group
4.1.17 Telstra
4.1.18 Telefónica
4.1.19 Verizon
4.1.20 Vodafone Group
4.2 Enterprise & Data Center Deployment Case Studies
4.2.1 Equinix
4.2.2 Fidelity Investments
4.2.3 Google
4.2.4 Kanazawa University Hospital
4.2.5 Nippon Express

5 Chapter 5: Industry Roadmap and Value Chain
5.1 The SDN, NFV & Network Virtualization Value Chain
5.1.1 Silicon & Server OEMs
5.1.2 Pure-play SDN/NFV Specialists
5.1.3 Network Infrastructure Vendors
5.1.4 IT Industry Giants
5.1.5 Mobile Infrastructure Vendors
5.1.6 Policy, OSS, BSS & Other Software Vendors
5.1.7 Enterprises
5.1.8 Service Providers
5.1.9 Data Center Operators
5.2 The SDN, NFV & Network Virtualization Industry Roadmap: 2015 - 2030
5.2.1 2015 – 2020: Moving Towards Network Wide Orchestration
5.2.2 2020 – 2025: Large Scale Proliferation in Service Provider Networks
5.2.3 2025 – 2030: Continued Investments with 5G Rollouts

6 Chapter 6: Standardization Bodies & Alliances
6.1 3GPP (3rd Generation Partnership Project)
6.2 ETSI (European Telecommunications Standards Institute)
6.3 Cloud NFV
6.4 IETF (Internet Engineering Task Force)
6.5 IRTF (Internet Research Task Force)
6.6 ITU (International Telecommunications Union)
6.7 MEF (Metro Ethernet Forum)
6.8 ONF (Open Networking Foundation)
6.9 OpenDaylight
6.10 OpenStack Foundation
6.11 ONRC (Open Networking Research Center) and ON.Lab (Open Networking Lab)
6.12 OPNFV (Open Platform for NFV)
6.13 OVA (Open Virtualization Alliance)
6.14 OMG (Object Management Group)
6.15 TM Forum
6.16 Vendor Led Initiatives & Ecosystem Programs
6.16.1 Alcatel-Lucent CloudBand Ecosystem Program
6.16.2 Cyan Blue Orbit Ecosystem
6.16.3 HP OpenNFV Application Partner Program
6.16.4 HP SDN Ecosystem Alliance
6.16.5 NEC SDN Partner Space
6.16.6 Intel Network Builders Program
6.16.7 Titanium Cloud Partner Program
6.16.8 Juniper Technology Partner Program
6.16.9 Red Hat NFV Ecosystem
6.16.10 Amdocs Network Cloud Ecosystem

7 Chapter 7: Company Profiles
7.1 6WIND
7.2 A10 Networks
7.3 Accedian Networks
7.4 Accton Technology Corporation
7.5 Active Broadband Networks
7.6 Actus Networks
7.7 ADARA Networks
7.8 Adax
7.9 ADLINK Technology
7.10 ADTRAN
7.11 ADVA Optical Networking
7.12 Affirmed Networks
7.13 Agema Systems
7.14 Akamai Technologies
7.15 ALAXALA Networks Corporation
7.16 Albis Technologies
7.17 Alcatel-Lucent
7.18 Allied Telesis
7.19 Allot Communications
7.20 Alpha Networks
7.21 ALTEN Calsoft Labs
7.22 Altiostar Networks
7.23 Alvarion Technologies
7.24 AMD (Advanced Micro Devices)
7.25 Amdocs
7.26 ANEVIA
7.27 Argela
7.28 Aricent
7.29 Arista Networks
7.30 Arkoon Netasq
7.31 ARM Holdings
7.32 ARRIS Group
7.33 Artesyn Embedded Technologies
7.34 ASOCS
7.35 AudioCodes
7.36 Avago Technologies
7.37 Avaya
7.38 Barracuda Networks
7.39 Big Switch Networks
7.40 BlueCoat
7.41 Brain4Net
7.42 Broadpeak
7.43 BroadSoft
7.44 Brocade
7.45 BTI Systems
7.46 Canoga Perkins
7.47 Canonical
7.48 Catbird Networks
7.49 Cavium
7.50 Cedexis
7.51 Cellwize
7.52 Centec Networks
7.53 Ceragon Networks
7.54 Certes Networks
7.55 Check Point Software Technologies
7.56 Ciena
7.57 Cisco Systems
7.58 Citrix Systems
7.59 Clavister
7.60 ClearPath Networks
7.61 CloudWeaver
7.62 Cobham Wireless
7.63 Cohesive Networks
7.64 Colt Technology Services Group
7.65 Comodo Security Solutions
7.66 Compass-EOS
7.67 Comptel
7.68 Concurrent
7.69 Coriant
7.70 Corsa Technology
7.71 CSC (Computer Sciences Corporation)
7.72 Cumulus Networks
7.73 Cyan
7.74 Dell
7.75 Dialogic
7.76 Dorado Software
7.77 ECI Telecom
7.78 Edgeware
7.79 Ekinops
7.80 Elemental Technologies
7.81 EMC Corporation
7.82 EnterpriseWeb
7.83 Ericsson
7.84 EXFO
7.85 Extreme Networks
7.86 EZchip Semiconductor
7.87 F5 Networks
7.88 FibroLAN
7.89 Flash Networks
7.90 Flextronics International
7.91 Fortinet
7.92 FRAFOS
7.93 Fujitsu
7.94 GENBAND
7.95 Gencore Systems
7.96 Gigamon
7.97 GigaSpaces Technologies
7.98 Guavus
7.99 H3C Technologies
7.100 Harmonic
7.101 Hitachi
7.102 HP (Hewlett-Packard)
7.103 Huawei
7.104 HyTrust
7.105 IBM
7.106 Illumio
7.107 Imagine Communications Corporation
7.108 Infinera
7.109 Infoblox
7.110 Inocybe Technologies
7.111 Intel Corporation
7.112 Interface Masters Technologies
7.113 Intracom Telecom
7.114 Intune Networks
7.115 IP Infusion
7.116 IPgallery
7.117 iPhotonix
7.118 IPITEK
7.119 Italtel
7.120 iwNetworks
7.121 Ixia
7.122 Juniper
7.123 KEMP Technologies
7.124 Lemko Corporation
7.125 Lenovo
7.126 Lumeta Corporation
7.127 Luxoft Holding
7.128 Maipu Communication Technology
7.129 Marvell Technology Group
7.130 MatrixStream Technologies
7.131 MediaTek
7.132 Mellanox Technologies
7.133 Metaswitch Networks
7.134 Microsoft
7.135 Midokura
7.136 Mirantis
7.137 Mitel Networks Corporation
7.138 Mojatatu Networks
7.139 MRV Communications
7.14 Nakina Systems
7.141 Napatech
7.142 NCLC (NCL Communication)
7.143 NEC Corporation
7.144 NetCracker Technology
7.145 NETGEAR
7.146 Netronome
7.147 Netrounds
7.148 NetScout Systems
7.149 NetYCE
7.15 NFVWare
7.151 Nokia Networks
7.152 Nominum
7.153 NoviFlow
7.154 NTT Communications
7.155 NXP Semiconductors
7.156 Omnitron Systems
7.157 Openet
7.158 Openwave Mobility
7.159 Opera Software
7.16 Optelian
7.161 Oracle Corporation
7.162 Orchestral networks
7.163 Overture Networks
7.164 OX (Open-Xchange)
7.165 Ozono Security
7.166 Packet Ship Technologies
7.167 Padtec
7.168 Parallel Wireless
7.169 Palo Alto Networks
7.17 Panda Security
7.171 Pantheon Technologies
7.172 PeerApp
7.173 Penguin
7.174 Pertino
7.175 Pica8
7.176 Plexxi
7.177 PLUMgrid
7.178 Pluribus Networks
7.179 Polatis
7.18 Procera Networks
7.181 Qosmos
7.182 Qualcomm
7.183 Quanta Computer
7.184 Quortus
7.185 Rackspace
7.186 RAD Data Communications
7.187 Radisys Corporation
7.188 Radware
7.189 Rapid7
7.19 Realtek Semiconductor Corporation
7.191 Red Hat
7.192 Redknee
7.193 RightScale
7.194 Riverbed Technology
7.195 Ruckus Wireless
7.196 Saisei
7.197 Samsung Electronics
7.198 Sandvine
7.199 Sansay
7.2 Sencore
7.201 SevOne
7.202 Silver Peak Systems
7.203 Sonus Networks
7.204 Sophos
7.205 Sorrento Networks
7.206 SpiderCloud Wireless
7.207 Spirent Communications
7.208 StackIQ
7.209 SunTec Business Solutions
7.21 Supermicro (Super Micro Computer)
7.211 Svarog Technology Group
7.212 Symantec Corporation
7.213 SysMaster
7.214 Tango Telecom
7.215 TE Connectivity
7.216 Tejas Networks
7.217 Telchemy
7.218 Telco Systems
7.219 Telcoware
7.22 Telum
7.221 Thomson Video Networks
7.222 TI (Texas Instruments)
7.223 Tieto
7.224 TitanHQ
7.225 Transmode
7.226 Trend Micro
7.227 UBIqube
7.228 Ultra Electronics AEP
7.229 UTStarcom
7.23 vArmour
7.231 Versa Networks
7.232 Veryx Technologies
7.233 Viavi Solutions
7.234 VMware
7.235 WatchGuard Technologies
7.236 Wavenet
7.237 WebNMS
7.238 Wedge Networks
7.239 Wipro
7.24 Wowza Media Systems
7.241 Xilinx
7.242 XOR Media
7.243 Xtera Communications
7.244 Xura
7.245 Zhone Technologies
7.246 ZTE

8 Chapter 8: Market Analysis & Forecasts
8.1 Global Outlook of SDN, NFV & Network Virtualization Revenue: 2015 - 2030
8.2 User Base Segmentation
8.2.1 Enterprises & Data Centers
8.2.2 Service Providers
8.3 Submarket Segmentation
8.3.1 SDN Hardware & Software
8.3.2 NFV Hardware & Software
8.3.3 Other Network Virtualization Software
8.3.4 Service Provider Submarket Segmentation
8.4 SDN Submarket Revenue: 2015 – 2030
8.4.1 User Base Segmentation
8.4.2 Service Provider SDN
8.4.3 Enterprise & Data Center SDN
8.5 NFV Submarket Revenue: 2015 – 2030
8.5.1 Hardware Appliances
8.5.2 Orchestration & Management Software
8.5.3 VNF Software
8.6 Service Provider SDN Submarket Revenue: 2015 – 2030
8.6.1 SDN-Enabled Hardware Appliances
8.6.2 Orchestration & Management Software
8.6.3 SDN Controller Software
8.6.4 Network Applications Software
8.7 Enterprise & Data Center SDN Submarket Revenue: 2015 – 2030
8.7.1 SDN-Enabled Hardware Appliances
8.7.2 SDN-Enabled Virtual Switches
8.7.3 SDN Controller Software
8.8 Functional Area Segmentation for Service Provider Deployments
8.8.1 CDN
8.8.2 CPE
8.8.3 Data Center
8.8.4 EPC/Mobile Core
8.8.5 Fixed Access Networks
8.8.6 IMS & VoLTE
8.8.7 Policy, OSS & BSS
8.8.8 RAN
8.8.9 Transport & Backhaul
8.9 Regional Outlook
8.1 Asia Pacific SDN, NFV & Network Virtualization Revenue: 2015 - 2030
8.10.1 Australia
8.10.2 China
8.10.3 India
8.10.4 Japan
8.10.5 South Korea
8.10.6 Pakistan
8.10.7 Thailand
8.10.8 Indonesia
8.10.9 Malaysia
8.10.10 Taiwan
8.10.11 Philippines
8.10.12 Singapore
8.10.13 Rest of Asia Pacific
8.11 Eastern Europe SDN, NFV & Network Virtualization Revenue: 2015 - 2030
8.11.1 Czech Republic
8.11.2 Poland
8.11.3 Russia
8.11.4 Rest of Eastern Europe
8.12 Latin & Central America SDN, NFV & Network Virtualization Revenue: 2015 - 2030
8.12.1 Argentina
8.12.2 Brazil
8.12.3 Mexico
8.12.4 Rest of Latin & Central America
8.13 Middle East & Africa SDN, NFV & Network Virtualization Revenue: 2015 - 2030
8.13.1 South Africa
8.13.2 UAE
8.13.3 Qatar
8.13.4 Saudi Arabia
8.13.5 Israel
8.13.6 Rest of the Middle East & Africa
8.14 North America SDN, NFV & Network Virtualization Revenue: 2015 - 2030
8.14.1 USA
8.14.2 Canada
8.15 Western Europe SDN, NFV & Network Virtualization Revenue: 2015 - 2030
8.15.1 Denmark
8.15.2 Finland
8.15.3 France
8.15.4 Germany
8.15.5 Italy
8.15.6 Spain
8.15.7 Sweden
8.15.8 Norway
8.15.9 UK
8.15.10 Rest of Western Europe

9 Chapter 9: Conclusion & Strategic Recommendations
9.1 Will SDN & NFV Disrupt the Network Infrastructure Value Chain?
9.2 Is There a Ring Leader in the SDN & NFV Ecosystem?
9.3 SDN & NFV: Building the Mobile Cloud
9.4 Buyers Will Maintain Focus on Business Agility & CapEx Reduction
9.5 Avoiding the Proprietary Trap
9.6 Will Service Providers Continue to Utilize Proprietary Hardware Platforms?
9.7 Making the VoLTE Business Case Work
9.8 How Much CapEx Can Service Providers Save with SDN & NFV Investments?
9.9 Prospects of SDN & NFV Orchestration
9.9.1 Different Vendors, Different Approaches
9.9.2 Future Prospects of Harmonization
9.1 Strategic Recommendations
9.10.1 Recommendations for Silicon & Server OEMs
9.10.2 Recommendations for Network & Mobile Infrastructure Vendors & IT Giants
9.10.3 Recommendations for Pure-play SDN/NFV Specialists
9.10.4 Recommendations for Enterprises and Data Center Operators
9.10.5 Recommendations for Service Providers

List of Figures:

Figure 1: The NFV Concept
Figure 2: A Comparison of SDN and NFV
Figure 3: C-RAN Architecture
Figure 4: Virtualized and Non-Virtualized Mobile Core Networks
Figure 5: The SDN, NFV & Network Virtualization Value Chain
Figure 6: The SDN, NFV & Network Virtualization Industry Roadmap: 2015 - 2030
Figure 7: Global SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 8: Global SDN, NFV & Network Virtualization Revenue by User Base: 2015 - 2030 ($ Million)
Figure 9: Global Enterprise & Data Center SDN & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 10: Global Service Provider SDN & NFV Revenue by User Base: 2015 - 2030 ($ Million)
Figure 11: Global SDN, NFV & Network Virtualization Revenue by Submarket: 2015 - 2030 ($ Million)
Figure 12: Global SDN Hardware & Software Revenue: 2015 - 2030 ($ Million)
Figure 13: Global NFV Hardware & Software Revenue: 2015 - 2030 ($ Million)
Figure 14: Global Other Network Virtualization Software Revenue: 2015 - 2030 ($ Million)
Figure 15: Global Service Provider SDN & NFV Revenue by Submarket: 2015 - 2030 ($ Million)
Figure 16: Global SDN Revenue by User Base: 2015 - 2030 ($ Million)
Figure 17: Global Service Provider SDN Hardware & Software Revenue: 2015 - 2030 ($ Million)
Figure 18: Global Enterprise & Data Center SDN Revenue: 2015 - 2030 ($ Million)
Figure 19: Global NFV Revenue by Submarket: 2015 - 2030 ($ Million)
Figure 20: Global NFV Hardware Appliance Revenue: 2015 - 2030 ($ Million)
Figure 21: Global NFV Orchestration & Management Software Revenue: 2015 - 2030 ($ Million)
Figure 22: Global NFV VNF Software Revenue: 2015 - 2030 ($ Million)
Figure 23: Global Service Provider SDN Revenue by Submarket: 2015 - 2030 ($ Million)
Figure 24: Global Service Provider SDN-Enabled Hardware Appliance Revenue: 2015 - 2030 ($ Million)
Figure 25: Global Service Provider SDN Orchestration & Management Revenue: 2015 - 2030 ($ Million)
Figure 26: Global Service Provider SDN Controller Software Revenue: 2015 - 2030 ($ Million)
Figure 27: Global Service Provider SDN Network Applications Software Revenue: 2015 - 2030 ($ Million)
Figure 28: Global Enterprise & Data Center SDN Revenue by Submarket: 2015 - 2030 ($ Million)
Figure 29: Global Enterprise & Data Center SDN-Enabled Hardware Appliance Revenue: 2015 - 2030 ($ Million)
Figure 30: Global Enterprise & Data Center SDN-Enabled Virtual Switch Revenue: 2015 - 2030 ($ Million)
Figure 31: Global Enterprise & Data Center SDN Controller Software Revenue: 2015 - 2030 ($ Million)
Figure 32: Global Service Provider SDN & NFV Revenue by Functional Area: 2015 - 2030 ($ Million)
Figure 33: Global SDN & NFV Revenue in Service Provider CDNs: 2015 - 2030 ($ Million)
Figure 34: Global SDN & NFV Revenue in Service Provider CPE Deployments: 2015 - 2030 ($ Million)
Figure 35: Global SDN & NFV Revenue in Service Provider Data Centers: 2015 - 2030 ($ Million)
Figure 36: Global SDN & NFV Revenue in Service Provider EPC/Mobile Core Networks: 2015 - 2030 ($ Million)
Figure 37: Global SDN & NFV Revenue in Service Provider Fixed Access Networks: 2015 - 2030 ($ Million)
Figure 38: Global SDN & NFV Revenue in Service Provider IMS & VoLTE Networks: 2015 - 2030 ($ Million)
Figure 39: Global SDN & NFV Revenue in Service Provider Policy, OSS & BSS Systems: 2015 - 2030 ($ Million)
Figure 40: Global SDN & NFV Revenue in Service Provider RANs: 2015 - 2030 ($ Million)
Figure 41: Global SDN & NFV Revenue in Service Provider Transport & Backhaul Networks: 2015 - 2030 ($ Million)
Figure 42: SDN, NFV & Network Virtualization Revenue by Region: 2015 - 2030 ($ Million)
Figure 43: Asia Pacific SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 44: Australia SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 45: China SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 46: India SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 47: Japan SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 48: South Korea SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 49: Pakistan SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 50: Thailand SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 51: Indonesia SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 52: Malaysia SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 53: Taiwan SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 54: Philippines SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 55: Singapore SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 56: SDN, NFV & Network Virtualization Revenue in the Rest of Asia Pacific: 2015 - 2030 ($ Million)
Figure 57: Eastern Europe SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 58: Czech Republic SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 59: Poland SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 60: Russia SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 61: SDN, NFV & Network Virtualization Revenue in the Rest of Eastern Europe: 2015 - 2030 ($ Million)
Figure 62: Latin & Central America SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 63: Argentina SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 64: Brazil SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 65: Mexico SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 66: SDN, NFV & Network Virtualization Revenue in the Rest of Latin & Central America: 2015 - 2030 ($ Million)
Figure 67: Middle East & Africa SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 68: South Africa SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 69: UAE SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 70: Qatar SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 71: Saudi Arabia SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 72: Israel SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 73: SDN, NFV & Network Virtualization Revenue in the Rest of the Middle East & Africa: 2015 - 2030 ($ Million)
Figure 74: North America SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 75: USA SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 76: Canada SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 77: Western Europe SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 78: Denmark SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 79: Finland SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 80: France SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 81: Germany SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 82: Italy SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 83: Spain SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 84: Sweden SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 85: Norway SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 86: UK SDN, NFV & Network Virtualization Revenue: 2015 - 2030 ($ Million)
Figure 87: SDN, NFV & Network Virtualization Revenue in the Rest of Western Europe: 2015 - 2030 ($ Million)
Figure 88: SDN & NFV Induced Service Provider CapEx Saving Potential by Region: 2015 - 2030 ($ Million)
Figure 89: Management & Orchestration Software Revenue by Submarket: 2015 - 2030 ($ Million)

Thank you once again and looking forward to hearing from you.

Kind Regards

Andy Silva
Marketing Executive
Signals and Systems Telecom
andy.silva@snscommunication.com

Reef Tower
Jumeirah Lake Towers
Sheikh Zayed Road
Dubai, UAE

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