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четверг, 30 июля 2015 г.

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Report: Internet of Things (IoT) Market Forecast 2015-2020

Internet of Things (IoT) Market Forecast 2015-2020
Smart Home, Connected Transportation, Medical IoT, Industrial IoT & Others

Publication date: 09 March 2015
Number of Pages: 222< /span>
------------------------------------------------------------

In the next five years Visiongain expects to observe strong growth in terms of IoT connections and revenues, driven by the increasing investment from private companies and a handful of government institutions that understand the dramatic effect that this technology will have in the global economy by 2020. Current developments in the Industrial and medical IoT technologies are expected to transform the speed and ease of deployment, allowing a much faster adoption rate and providing larger benefits to society. Contrastingly, Transportation IoT and other IoT initiatives (including Smart City) are not expected to grow at the same rate as Industrial or Medical IoT.

Visionga in has analysed and segmented the five most important submarkets within global IoT market, providing a forecast for the 2015-2020 period for both connections and revenues. This 222 page report contains 213 tables, charts and figures providing a clear understanding of how the markets will evolve and which industries will reap the largest benefits from IoT. Our report also provides a forecast for regional revenues and the top 10 national IoT markets in terms of connections. Additionally, we provide an overview of the Top 30 IoT companies with their specific offering and their position in the IoT value chain.

How the Internet of Things (IoT) Market Forecast 2015-2020: Smart Home, Connected Transportation, Medical IoT, Industrial IoT & Others report will be of value
This report will be of value to current and future investors and market players in the market. Companies and operators with an interest in developing new IoT services, launching their services in new geo graphies or looking to broaden their knowledge of this paradigm will also find this report of value.

Visiongain's comprehensive analysis contains highly quantitative content delivering solid conclusions benefiting your analysis and illustrates new opportunities and potential revenue streams helping you to remain competitive. This definitive report will benefit your decision making and help to direct your future business strategy.

Why you should buy the Internet of Things (IoT) Market Forecast 2015-2020: Smart Home, Connected Transportation, Medical IoT, Industrial IoT & Others Report
What are the future prospects for the leading IoT verticals? Visiongain's comprehensive analysis contains highly quantitative content, delivering solid conclusions, benefiting your own analysis and illustrating new opportunities and revenue streams helping you to remain competitive. This definitive report will benefit your decision making and help you to direct your future b usiness strategy.

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

Table of Contents

1. Executive Summary
1.1 Internet of Things Could Revolutionize The Global Economy
1.2 Market Definition
1.3 Market Segmentation
1.4 Benefits of This Report
1.5 Methodology
1.6 Frequently Asked Questions (FAQ)
1.7 About Visiongain

2. Introduction to the Internet of Things Market
2.1 What Defines the Internet of Things?
2.2 M2M Technology is the Backbone behind the Massive Potential in the Internet of Things Market
2.2.1 M2M History and Recent Developments2.3 A Benefits Derived From Internet of Things
2.4 IoT Applications by Industry
2.5 Cloud to Play Pivotal Role in the Internet of Things Industry Boom
2.6 Big-Data to Explode With the Rise in Internet of Things Market
2.7 Growth in the Wireless Sector
2.8 The Internet of Things Value Chain

3. Global Forecasts for IoT Revenues & Connections 2015-2020
3.1 Global Forecast for IoT Connections 2015-2020
3.2 Global IoT Revenue Forecast 2015-2020

4. Regional IoT Revenue Forecasts 2015-2020
4.1 North American Revenue Forecasts 2015-2020
4.2 LATAM Revenue Forecasts 2015-2020
4.3 European Revenue Forecasts 2015-2020
4.4 APAC Revenue Forecasts 2015-2020
4.5 MEA Revenue Forecasts 2015-2020

5. Internet of Things Sub-Segment Revenues & Connections Forecasts 2015-2020
5.1Global Forecasts for the Industrial Internet of Things Connections 2015-2020
5.1.1Global Forecasts for the Industrial Internet of Things Revenues 2015-2020
5.1.2 Global Forecasts for the Industrial Internet of Things 2015-2020: Agriculture
5.1.3 Global Forecasts for the Industrial Internet of Things 2015-2020: Oil & Energy
5.1.4 Global Forecasts for the Industrial Internet of Things 2015-2020: Retail
5.1.5 Global Forecasts for the Industrial Internet of Things 2015-2020: Manufacturing & Others
5.2 Global Forecasts for the Transportation Internet of Things Connections 2015-2020
5.2.1 Global Forecasts for the Transportation Internet of Things Revenues 2015-2020
5.2.2 Global Forecasts for the Transportation Internet of Things 2015-2020: Sea Transport
5.2.3 Global Forecasts for the Transportation Internet of Things 2015-2020: Connected Cars
5.2.4 Global Forecasts for the Transportation Internet of Things 2015-2020: Aviation
5.3 Global Forecasts for the Smart Home Internet of Things Connections 2015-2020
5.3.1 Global Forecasts for the Smart Home Internet of Things Revenues 2015-20 20
5.3.2 Global Forecasts for the Smart Home Internet of Things Connections 2015-2020: Smartphones
5.3.3 Global Forecasts for the Smart Home Internet of Things Connections 2015-2020: Utilities
5.4 Global Forecasts for the Medical Internet of Things Connections 2015-2020
5.4.1 Global Forecasts for the Medical Internet of Things Connections
5.4.2 Global Forecasts for the Medical Internet of Things Revenues
5.4.2.1 Global Forecasts for the Medical Internet of Things Revenues
5.5 Global Forecasts for Other Internet of Things (Including Fixed
5.5.1 Global Forecasts for Other Internet of Things (Including Fixed

6. Top Ten National IoT Connections Forecasts 2015-2020
6.1 Chinese IoT Connections Forecasts 2015-2020
6.2 United States IoT Connections Forecasts 2015-2020
6.3 Japanese IoT Connections Forecasts 2015-2020
6.4 Indian IoT Connections Forecasts 2015-2020
6.5 Russian IoT Connections Forecasts 2015-2020
6.6 German IoT Connections Forecasts 2015-2020
6.7 Brazilian IoT Connections Forecasts 2015-2020
6.8 Indonesian IoT Connections Forecasts 2015-2020
6.9 United Kingdom IoT Connections Forecasts 2015-2020
6.10 South Korean IoT Connections Forecasts 2015-2020

7. Drivers & Constraints For The Internet of Things
7.1 Drivers of The Internet of Things
7.1.1 Cost savings
7.1.2 Creating New Revenue Streams
7.1.3 Connected Devices Growing Rapidly
7.1.4 IoT Gaining Popularity
7.1.5 Enhanced Market Segmentation
7.1.6 IoT Can be Expanded to Any Vertical
7.2 Constraints of The Internet of Things
7.2.1 IoT Solutions Can Be Expensive
7.2.2 Technical Problems
7.2.3 Limited Awareness
7.2.3 Limited Awareness
7.2.4 Security Concerns
7.2.5 Highly Fragmented Market Place
7.2.6 Unclear Business Models

8. Leading Companies in the Internet of Things Market
8.1 AT&T
8.1.1 AT&T Business Aims
8.1.2 AT&T Position In The Market8.2 China Mobile Company Overview
8.2.1 China Mobile Historic Revenues & Net Income
8.2.3 China Mobile M2M Offerings
8.3 Vodafone Group Plc Overview
8.3.1 Vodafone Group Plc Historic Revenues & Net Income
8.3.2 Vodafone Group M2M Offerings
8.4 Deutsche Telekom Company Overview
8.4.1 Deutsche Telekom Historic Revenues & Net Income
8.4.2 Deutsche Telekom M2M Offerings
8.5 Telefónica S.A Overview
8.5.1 Telefónica S.A Historic Revenues & Net Income
8.5.2 Telefónica S.A M2M Products
8.6 Verizon Communications Overview
8.6.1 Verizon Communications Historic Revenues & Net Income
8.6.2 Verizon's M2M Solutions and Overall Strategy
8.6.3 Verizon's Focus on Automotive Industry
8.7 Orange S.A Overview
8.7.1 Orange S.A Historic Revenues & Net Income
8.7.2 Orange M2M Offerings
8.8 Sprint Corporation Overview
8.8.1 Sprint Corporation Historic Revenues & Net Income
8.8.2 Sprint's Assets, Strengths, and Stra tegy
8.8.3 Sprint M2M Partner Ecosystem
8.9 Kore Telematics Overview
8.9.1 Kore Telematics Offerings
8.9.2 KORE Partnerships and Strategy Overview
8.10 NTT DoCoMo Overview
8.10.1 NTT DoCoMo Historic Revenues & Net Income
8.10.2 NTT DoCoMo M2M Offerings
8.11 Telecom Italia SpA Overview
8.11.1 Telecom Italia SpA Historic Revenues & Net Income
8.11.2 Telecom Italia SpA M2M Strategy
8.12 Wyless Total Revenues & M2M Connection
8.13 Axeda
8.14 SensorLogic
8.15 Sierra Wireless
8.16 Telit Wireless Solutions
8.16.1 Telit Wireless M&A
8.16.2 ILS Technology
8.17 TeliaSonera
8.18 Wilson Electronics
8.19 Novatel Wireless
8.20 SIMCom Wireless Solutions
8.21 Jasper Wireless
8.21.1 Jasper Wireless Control Center
8.21.2 Jasper Wireless-powered M2M alliance
8.22 Numerex
8.23 Berkeley Varitronics Systems
8.24 iMetrik Solutions
8.24.1 iMETRIK
8.24.2 iMetrik-COLLECT
8.24.3 iMetrik-COVER
8.24.4 iM etrik-PROTECT
8.25 IBM Company Overview
5.26 GE Company Overview
8.27 Microsoft Company Overview
8.27.1 Retail
8.27.2 Healthcare
8.27.3 Automotive
8.27.4 Microsoft Azure Intelligent Systems
8.28 Google Company Overview
8.29 Apple Inc. Overview
8.30 Cisco Systems Company Overview
8.31 Other Leading Companies in the IoT Market

9. Conclusions
9.1 Internet of Things Market Drivers
9.1.1 Network Coverage
9.1.2 Telematics and Telemetry Increasing Efficiency
9.1.3 Service Providers Need to Expand Offerings
9.1.4 IPv6 Will Increase IoT Opportunities
9.1.5 M2M Creating Scope for Development of New Applications
9.2 Internet of Things Characteristics
9.2.1 Fragmented Value Chain
9.2.2 Lack of Universal Standards
9.2.3 Marketing Challenges
9.2.4 Roaming
9.2.5 Security Concerns
9.3 Way Forward
9.3.1 Increase in M2M Partnerships
9.3.2 Standardisation
9.3.3 Measuring Data
9.3.4 New Business Models

10. Glossary

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

List of Tables

Table 2.1: IoT Applications by Industry
Table 3.1: Global IoT Connections Forecast 2015-2020 (Billions, AGR % and CAGR)
Table 3.2: Global IoT Sub-Segment Connections Forecast 2015-2020 (Billions, AGR%)
Table 3.6: Global IoT Revenues Forecast 2015-2020 ($ B, AGR %, CAGR and Cumulative Revenues)
Table 3.7: Global IoT Sub-Segment Revenues Forecast 2015-2020 ($ B, AGR % and Cumulative Revenues )
Table 4.1: Regional IoT Revenue Forecast 2015-2020 ($ Billions, AGR%, % Share)
Table 4.4: No rth American Revenue Forecast 2015-2020 ($ Billions, AGR%, Cumulative Revenues)
Table 4.7: LATAM IoT Revenue Forecast 2015-2020 ($ Billions, AGR%, Cumulative Revenues)
Table 4.10: European IoT Revenue Forecast 2015-2020 ($ Billions, AGR%, Cumulative Revenues)
Table 4.13: APAC IoT Revenue Forecast 2015-2020 ($ Billions, AGR%, Cumulative Revenues)
Table 4.16: MEA IoT Revenue Forecast 2015-2020 ($ Billions, AGR%, Cumulative Revenues)
Table 5.1: Industrial IoT Connections Forecast 2015-2020 (Millions, AGR % and CAGR)
Table 5.2: Industrial IoT Connections by Industry Forecast 2015-2020 (Millions, IIoT AGR )Table 5.6: Industrial IoT Revenues Forecast 2015-2020 ($ Billions, AGR %, Cumulative Revenues and CAGR)
Table 5.16: Addressable Plants, Assets and Machinery within the Energy Industry 2015
Table 5.22: Addressable Plants, Assets and Machinery within the Manufacturing Industry 2015
Table 5.23: Total Transportation Fleet and Total IoT Connected Fleet Forecast 20 15-2020 (Millions, AGR % and CAGR)Table 5.27: Transportation IoT Revenues Forecast 2015-2020 ($ Billions, AGR %, Cumulative Revenues and CAGR)
Table 5.53: Smart Home IoT Connections Forecast 2015-2020 (Millions, AGR % and CAGR)
Table 5.54: Smart Home IoT Connections Forecast by Segment 2013-2020 (Millions, AGR % and CAGR)
Table 5.59: Smart Home IoT Revenues Forecast 2015-2020 ($B, AGR %, Cumulative Revenues and CAGR)
Table 5.63: Smartphones Connections Forecast 3G vs. 4G 2013-2020 (Millions, AGR %)
Table 5.68: Smart Home Energy & Utilities Connections Forecast Smart Meter vs. Other 2013-2020 (Millions, AGR %)
Table 5.72: Medical IoT Connections Forecast 2015-2020 (Millions, AGR % and CAGR)
Table 5.77: Most Important Factors Driving Healthcare Costs Up
Table 5.79: Medical IoT Revenues Forecast 2015-2020 ($ b, AGR %, Cumulative and CAGR)
Table 5.83: Main Healthcare Conditions Related to Different Telemedicine Technologies
Table 5.86: Other IoT Connect ions Forecast 2015-2020 (Millions, AGR % and CAGR)
Table 5.90: Other IoT Revenue Forecast 2015-2020 (Millions, AGR %, Cumulative Revenues and CAGR)
Table 6.1: Top 10 National IoT Connections Forecast 2015-2020 (Millions, AGR%, % Share)
Table 6.3: Chinese IoT Connections Forecast 2015-2020 (Millions, AGR%, CAGR)
Table 6.6: US IoT Connections Forecast 2015-2020 (Millions, AGR%, CAGR)
Table 6.9: Japanese IoT Connections Forecast 2015-2020 (Millions, AGR%, CAGR)
Table 6.12: Indian IoT Connections Forecast 2015-2020 (Millions, AGR%, CAGR)
Table 6.15: Russian IoT Connections Forecast 2015-2020 (Millions, AGR%, CAGR)
Table 6.18: German IoT Connections Forecast 2015-2020 (Millions, AGR%, CAGR)
Table 6.21: Brazilian IoT Connections Forecast 2015-2020 (Millions, AGR%, CAGR)
Table 6.24: Indonesian IoT Connections Forecast 2015-2020 (Millions, AGR%, CAGR)
Table 6.27: UK IoT Connections Forecast 2015-2020 (Millions, AGR%, CAGR)
Table 6.30: South Korean IoT Con nections Forecast 2015-2020 (Millions, AGR%, CAGR)
Table 8.1 AT&T Inc. Company Overview 2015 (Total Revenue 2014, Net Profit, Total Employees, CEO, HQ, Ticker and, Website)
Table 8.2: AT&T Total Revenues and Net Income 2008-2014 (Revenues in $b &AGR %)
Table 8.4: AT&T M2M Solution, Assets, and Advantages
Table 8.5 China Mobile Company Overview 2015 (Total Revenue2014, Total Company Net Income, Employees, CEO, HQ, Ticker and, Website)
Table 8.6: China Mobile Total Revenues and Net Income 2008-2014 (Revenues in $b and AGR %)
Table 8.8: Sprint M2M Solutions and Leading Verticals
Table 8.9 Vodafone Group Plc Overview 2015 (Total Revenue, Net Profit, Employees, CEO, HQ, Ticker, Website)
Table 8.10: Vodafone Total Revenues and Net Income 2008-2014 (Revenues in $b & AGR %)
Table 8.12: Key Features and Benefits of Vodafone's M2M Solution
Table 8.13: Deutsche Telekom Company 2015 (Total Revenue, Net Profit, ,Total Employees, CEO, HQ, Ticker a nd, Website)
Table 8.14: Deutsche Telekom Total Revenues and Net Income 2008-2014 (Revenues in $b & AGR %)
Table 8.16: Deutsche Telekom M2M Solution
Table 8.17: Telefónica S.A. Overview 2015 (Total Revenue 2014, Net Profit, Total Employees, CEO, HQ, Ticker and, Website)
Table 8.18: Telefónica Total Revenues and Net Income 2008-2014 (Revenues in $b and AGR %)
Table 8.20 Verizon Communications Overview 2015 (Total Revenue 2014, Net Profit, Total Employees, CEO, HQ, Ticker and, Website)
Table 8.21: Verizon Total Revenues and Net Income 2008-2014 (Revenues in $b and AGR %)
Table 8.22: Verizon's M2M Solutions
Table 8.23: Orange Overview 2015 (Total Revenue2014, Employees, CEO, HQ, Ticker, Contact, Website)
Table 8.24: Total Revenues and Net Income 2008-2014 (Revenues in $b and AGR %)
Table 8.26: Orange M2M Core Offerings
Table 8.27: Orange M2M Use Cases
Table 8.28: Sprint Corporation Overview 2015 (Total Revenue 2014, Net Profit, Total Employees, C EO, HQ, Ticker and, Website)
Table 8.29: Sprint Total Revenues and Net Income 2008-2014 (Revenues in $b and AGR %)
Table 8.31: Sprint M2M Solutions and Leading Verticals
Table 8.32: Kore Telematics Overview 2015 (Total Revenue 2014 $b, Total M2M Subscriptions M, Global M2M Subscriptions Share %, Employees, CEO, HQ, Website)
Table 8.33: KORE Telematics M2M Connectivity Services
Table 8.34: NTT DoCoMo Overview 2015 (Total Revenue 2014 $b, Net Profit, Total Employees, CEO, HQ, Ticker and, Website)
Table 8.35: DoCoMo Total Revenues and Net Income 2009-2014 (Revenues in $b & AGR %)
Table 8.37: NTT DoCoMo M2M Offerings
Table 8.38: Telecom Italia SpA Telecommunications Company Overview 2015 (Total Revenue 2014 $b, Net Profit, Total Employees, CEO, HQ, Ticker and, Website)
Table 8.39: Telecom Italia SpA Telecommunications Total Revenues and Net Income 2009-2014 (Revenues in $b and AGR %)
Table 8.40: Telecom Italia SpA Total Revenues and Net Income 2009-2014 (Revenues in $b and AGR %)
Table 8.43: SIMCom M2M Use Cases
Table 8.44: Numerex Company Overview 2015 (Total Revenue 2014 m, Net Profit m, , Total Employees, CEO, HQ, Ticker and, Website)
Table 8.45 iMetrik M2M Services
Table 8.46 iMetrik -PROTECT
Table 8.47: IBM Company Overview 2015 (Total Revenue, Revenue from Internet of Things, % Revenue From Internet of Things, Global Market Share %, HQ, Ticker, Contact, Website)
Table 8.49: IBM Adept Performance Management Solution Focus Areas
Table 8.50: GE Company Overview 2015 (Total Revenue, , Global Market Share %, HQ, Ticker, Contact, Website)
Table 8.51: Microsoft Company Overview 2015 (Total Revenue, Revenue from Internet of Things, % Revenue From Internet of Things, Global Market Share %, HQ, Ticker, Contact, Website)
Table 8.53: Windows Embedded Product Portfolio
Table 8.54: Google Company Overview 2015 (Total Revenue, HQ, Ticker, Contact, Website)
Table 8.55: Apple Company Overview 2015 (Total Reve nue, HQ, Ticker, Contact, Website)
Table 8.56: Cisco Company Overview 2015 (Total Revenue, Revenue from Internet of Things, % Revenue From Internet of Things, Global Market Share %, HQ, Ticker, Contact, Website)
Table 8.57: Other Leading Companies in the M2M Market 2015 (Company, Product /service)

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

List of Charts

Chart 3.3: Global IoT Connections Sub-Segment Share 2015-2018-2020 (% of Total Connections)
Chart 3.4: Global IoT Connections Sub-Segment Forecast 2015-2020 (Billions, Total IoT AGR % )
Chart 3.5: IoT AGR% for Connecti ons Sub-Segment Forecast 2015-2020 (AGR %)
Chart 3.8: Global IoT Sub-Segment Revenues 2015-2018-2020 (% of Total Revenues)
Chart 3.9: Global IoT Sub-Segment Revenues Forecast 2015-2020 ($ B, Total IoT AGR % )
Chart 3.10: IoT Revenue AGR% Sub-Segment Forecast 2015-2020 (AGR %)
Chart 4.2: Regional IoT Revenue Forecast 2015-2020 ($ Billions, Global AGR %)
Chart 4.3: Regional IoT Revenue Share 2015-2018-2020 (%)
Chart 4.5: North American Revenue Forecast 2015-2020 ($ Billions, AGR%)
Chart 4.6: North American Revenue Share of Global IoT 2015-2018-2020 (% Share)
Chart 4.8: LATAM IoT Revenue Forecast 2015-2020 ($ Billions, AGR%)
Chart 4.9: LATAM Revenue Share of Global IoT 2015-2018-2020 (% Share)
Chart 4.11: European IoT Revenue Forecast 2015-2020 ($ Billions, AGR%)
Chart 4.12: European Revenue Share of Global IoT 2015-2018-2020 (% Share)
Chart 4.14: APAC IoT Revenue Forecast 2015-2020 ($ Billions, AGR%)
Chart 4.15: APAC Revenue Share of Global IoT 2 015-2018-2020 (% Share)
Chart 4.17: MEA IoT Revenue Forecast 2015-2020 ($ Billions, AGR%)
Chart 4.18: MEA Revenue Share of Global IoT 2015-2018-2020 (% Share)
Chart 5.3: Industrial IoT Connections by Industry Forecast 2015-2020 (% )
Chart 5.4: Industrial IoT Connections Forecast by Industry 2015-2020 (Millions, AGR %)
Chart 5.5: Industrial IoT Share of Total IoT Connections 2015-2018-2020 (%)
Chart 5.7: Industrial IoT Revenues Forecast 2015-2020 ($ Billions, AGR %)
Chart 5.8: Industrial IoT Share of Total IoT Revenues 2015-2018-2020 (%)
Chart 5.9: Total Number of Connections Within The Agricultural Industry Forecast By Technology 2015-2020 (Millions, AGR %)
Chart 5.10: Breakdown of Total Number of Connections Within The Agricultural Industry 2015-2018-2020 (%)
Chart 5.11: Share of Top 10 Countries Within the Global Dairy Cows Market 2015 (% of Total Dairy Cows)
Chart 5.12: Share of Top 6 Countries Within the Global Cattle Market 2015(% of Total Globa l Cattle)
Chart 5.13: Share of farms by Regional and Socio-Economic Breakdown (% of Global Farms)
Chart 5.14: Agriculture Share of Industrial IoT Connections 2015-2018-2020 (%)
Chart 5.15: Energy Share of Industrial IoT Connections 2015-2018-2020 (%)
Chart 5.16: Total Industrial IoT Connections within the Energy Industry Forecast 2015-2020(Millions, Total Industrial IoT AGR%, Oil & Energy AGR %
Chart 5.18: Retail Share of Industrial IoT Connections 2015-2018-2020 (%)
Chart 5.19: Industrial IoT Connections Within Retail Forecast by Application 2015-2020 (Millions, AGR %)
Chart 5.20: Industrial IoT Connections Within Retail Forecast by Application 2015-2018-2020 (
Chart 5.21: Total Industrial IoT Connections within the Manufacturing Industry Forecast 2015-2020 (Millions, Total IIoT AGR%, Manufacturing AGR %
Chart 5.24: Total Transportation & Total Connected Fleet Forecast 2015-2020 (Millions, AGR %)
Chart 5.25: Transportation IoT Connections Break down Forecast 2015-2020 (Millions, AGR %)
Chart 5.26: Transportation Share of Total IoT Connections 2015-2018-2020 (%)
Chart 5.28: Transportation IoT Revenues by Transportation Type Forecast 2015-2020 ($ billions))
Chart 5.29: Transportation IoT Revenues by Transport Type Forecast 2015-2018-2020 (% Share)
Chart 5.30: Transportation Share of Total IoT Revenues 2015-2018-2020 (%)
Chart 5.31: Total Number of Active Ships and Container Fleet Forecast 2015-2020 (Ships in 000's, Containers in Millions)
Chart 5.32: Breakdown of Active Ships by Type 2015 (%)
Chart 5.33: Breakdown of Active Ships by Type 2015 (000's)
Chart 5.34: Breakdown of Active Containers by Type 2015 (% Share and TEUs Millions)
Chart 5.35: Total Number of Maritime Connections and Revenues Forecast 2015-2020 (Connections in Millions, $ B)
Chart 5.36: Ships Connected as a Percentage of Total Maritime Connections 2015-2018-2020 (%)
Chart 5.37: Connected Sea Fleet Share of Total Transportati on IoT Connections 2015-2018-2020 (%)
Chart 5.38: Connected Sea Fleet Share of Total Transportation IoT Revenues 2015-2018-2020 (%)
Chart 5.39: Total Number of Active Passenger and Commercial Vehicles Forecast 2015-2020 (Millions, AGR)
Chart 5.40: Total Number of Connected and Non-Connected Vehicles Forecast 2015-2020 (Millions, AGR)
Chart 5.41: Connected Passengers & Commercial Vehicles Share of Total Transportation IoT Connections 2015-2018-2020 (%)
Chart 5.42: Global Connected Passengers & Commercial Vehicles Share of Global Connected Cars 2015-2018-2020 (%)
Chart 5.43: Connected Passengers vs. Connected Commercial Vehicles Revenue Forecast 2015-2020 ($ B , AGR %)
Chart 5.44: Connected Vehicles Forecast Share: Commercial vs. Passenger 2015-2018-2020 ( %)
Chart 5.45: Connected Commercial and Passenger Cars Share of Total Transportation IoT Revenues 2015-2018-2020 (%)Chart 5.46: Total Number of Active Aircrafts Forecast 2015-2020 (000's, AGR%)
Cha rt 5.47: Total Number of Active Aircrafts By Type 2015 (000's, %)
Chart 5.48: Share of Total Active Hours By Type of Aircraft t 2015 (%)
Chart 5.49: Total Number of Active Aircraft and Air Transport IoT Connections Forecast 2015-2020 (Aircrafts in 000's, Connections in Millions)
Chart 5.50: Connected Air Fleet as a Share of Total Transportation IoT Connections 2015-2018-2020 (%)Chart 5.51: Total Number of Connected Aircraft Revenues Forecast 2015-2020 ($ Billions, AGR %)
Chart 5.52: Connected Aircrafts Share of Total Transportation IoT Revenues 2015-2018-2020 (%)
Chart 5.55: Smart Home IoT Connections Forecast 2013-2020 (Millions, AGR %)
Chart 5.56: Smart Home Share of Total IoT Connections 2015-2018-2020 (%)
Chart 5.57: Smart Home IoT Connections Forecast by Sub-Segment 2013-2020 (Millions)
Chart 5.58: Smart Home IoT Connections Forecast by Sub-Segment 2015-2018-2020 (%)
Chart 5.60: Smart Home IoT Revenues Forecast 2015-2020 ($B, AGR %)
Chart 5.61: Sma rt Home Share of Total IoT Revenues 2015-2018-2020 (%)
Chart 5.62: Smartphones Share of Total Smart Home Connections 2015-2018-2020 (%)
Chart 5.64: Smartphone Connections Forecast 3G vs. 4G 2013-2020 (Millions)
Chart 5.65: Smartphone Connections Forecast 3G vs. LTE vs. LTE-Advanced 2015-2020 (Millions)
Chart 5.66: Smartphone Connections Forecast 3G vs. LTE vs. LTEA 2015-2018-2020 (%)
Chart 5.67: Total MNOs Service Revenue Forecast 2015-2020 2G vs. 3G vs. 4G ($ Billions)
Chart 5.69: Smart Home Energy & Utilities IoT Connections Forecast 2013-2020 (Millions, AGR %)
Chart 5.70: Smart Home Energy & Utilities Connections Forecast Smart Meters vs Other 2013-2020 (Millions, AGR %)
Chart 5.71: Global Smart Home Energy & Utilities Share of Total Smart Home Connections , Smart Meters vs. Smart Energy vs. Other 2015-2018-2020 (%)Chart 5.73: Medical IoT Share of Total IoT Connections 2015-2018-2020 (%)
Chart 5.74: Medical IoT Connections Forecast 2015-2020 (Millions, AGR %)
Chart 5.75: Regional Medical IoT Connections Forecast 2015-2020 (Millions, AGR %)
Chart 5.76: Regional Medical IoT Connections Forecast 2015-2018-2020 (%)
Chart 5.78: M-Health and Fitness & Activity Trackers Shipments Forecast 2015-2020 (Trackers in Millions, M-Health in Thousands)
Chart 5.80: Medical IoT Share of Total IoT Revenues 2015-2018-2020 (%)
Chart 5.81: Global Medical IoT Revenues Forecast 2015-2018-2020 (%)
Chart 5.82: Telemedicine Revenues Forecast By Sub Segment 2015-2020 ($ B, AGR %)
Chart 5.84: Chart 5.84: Telemedicine Revenues Forecast By Healthcare Condition 2015-2018-2020 (%)
Chart 5.87: Other IoT Connections Forecast 2015-2020 (Millions, AGR %)
Chart 5.88: Other IoT Connections Forecast by Type 2015-2018-2020 (%)
Chart 5.89: Others IoT Share of Total IoT Connections 2015-2018-2020 (%)
Chart 5.91: Other IoT Revenues Forecast 2015-2020 ($ B, AGR %)
Chart 5.92: Other IoT Revenues Forecast by Type 2015-2018-20 20 (%)
Chart 5.94: Urbanisation Rate Forecast Urban vs. Rural Population 1950-2040 (Billion, Urbanisation Rate %)
Chart 5.95: Others IoT Share of Total IoT Revenues 2015-2018-2020 (%)
Chart 6.2: Top 10 National IoT Connections Forecast 2015-2020 (Millions, AGR%)
Chart 6.4: Chinese IoT Connections Forecast 2015-2020 (Millions, AGR%)
Chart 6.5: Chinese Share of Global IoT Connections Forecast 2015-2018-2020 (%)
Chart 6.7: US IoT Connections Forecast 2015-2020 (Millions, AGR%)
Chart 6.8: US Share of Global IoT Connections Forecast 2015-2018-2020 (%)
Chart 6.10: Japanese IoT Connections Forecast 2015-2020 (Millions, AGR%)
Chart 6.11: US Share of Global IoT Connections Forecast 2015-2018-2020 (%)
Chart 6.13: Indian IoT Connections Forecast 2015-2020 (Millions, AGR%)
Chart 6.14: Indian Share of Global IoT Connections Forecast 2015-2018-2020 (%)
Chart 6.16: Russian IoT Connections Forecast 2015-2020 (Millions, AGR%)
Chart 6.17: Russian Share of Global IoT Connections Forecast 2015-2018-2020 (%)
Chart 6.19: German IoT Connections Forecast 2015-2020 (Millions, AGR%)
Chart 6.20: Russian Share of Global IoT Connections Forecast 2015-2018-2020 (%)
Chart 6.22: Brazilian IoT Connections Forecast 2015-2020 (Millions, AGR%)
Chart 6.23: Brazilian Share of Global IoT Connections Forecast 2015-2018-2020 (%)
Chart 6.25: Indonesian IoT Connections Forecast 2015-2020 (Millions, AGR%)
Chart 6.26: Indonesian Share of Global IoT Connections Forecast 2015-2018-2020 (%)
Chart 6.28: UK IoT Connections Forecast 2015-2020 (Millions, AGR%)
Chart 6.29: UK Share of Global IoT Connections Forecast 2015-2018-2020 (%)
Chart 6.31: South Korean IoT Connections Forecast 2015-2020 (Millions, AGR%)
Chart 6.32: South Korean Share of Global IoT Connections Forecast 2015-2018-2020 (%)
Chart 8.3: AT&T Total Revenues and Net Income 2008-2014 (Revenues in $b and Net Income AGR %)
Chart 8.7: China Mobile Total Revenues and Net In come 2008-2014 (Revenues in $b and Net Income AGR %)
Chart 8.15: Deutsche Telekom Total Revenues and Net Income 2008-2014 (Revenues in $b and Net Income AGR %)
Chart 8.19: Telefónica Total Revenues and Net Income 2008-2014 (Revenues in $b and Net Income AGR %)
Chart 8.21: Verizon Total Revenues and Net Income 2008-2014 (Revenues in $b and Net Income AGR %)
Chart 8.25: Orange Total Revenues and Net Income 2008-2014 (Revenues in $b & Net Income AGR%)
Chart 8.30: Sprint Total Revenues and Net Income 2008-2014 (Revenues in $b & Net Income AGR %)
Chart 8.36: DoCoMo Total Revenues & Net Income 2008-2014 (Revenues in $b & Net Income AGR %)
Chart 8.41: Wyless Total M2M Connections 2012-2014 Connections in Millions, AGR %)
Chart 8.42: Wyless Total M2M Revenues 2012-2014 ($ Billions, AGR %)

------------------------------------------------------------
< /td>

List of Figures

Figure 1.1: Internet of Things Market Segmentation
Figure 2.2: IoT Value Chain
Figure 8.48: IBM MessageSight System
Figure 8.52: Microsoft Azure Intelligent Systems

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

Companies Mentioned in this report

7 Layers
Adept Enterprise So lutions
Aeris Communications
Aeroscout
AFrame Digital
Alcatel-Lucent
Alien Technology
America Movil
Apple Inc
Arkessa
Arrayent
Arrow Electronics
AT&T
Atos Origin SA
Audi
Augusta Systems
AVIDwireless
Axeda
Berkeley Varitronics Systems
Best Buy
Boston Dynamics
CalAmp
CETECOM
China Mobile
China Mobile Internet of Things Ltd
Cinterion
Cisco Systems
Claro Americas
Clearconnex
Coca-Cola
Comtrol
Connect One
Connected Development
Coronis
CrossBridge Solutions
DataOnline
DataRemote
DeepMind
Deutsche Telekom
Digi International
DigiCore
Drive.Cam
Dust Networks
Echelon
eDevice
EE
EE (Everything Everywhere)
ei3
Ember
Enfora
Ericsson
Esprida
Etisalat
Eurotech
Exosite
Feeney Wireless
Ford Motor Company
Fusion Wireless
Gemalto
General Electrics (GE)
General Motors
Globalstar
Google
Honeywell International
Hua wei
Hughes Telematics
IBM
ILS Technology
iMETRIK
iMetrik Solutions
Inilex
Inmarsat
Intel
Iridium Communications
Itron
IWOW
Janus Remote Communications
Jasper Technologies
Jasper Wireless Inc
Kleiner Perkins Caufield & Byers (KPCB)
KORE Telematics
KPN
Laird Technologies
Lantronix
Lenovo
LG
M2M Air
M2M Communications
M2M DataSmart
Marvell
MEMSIC
Micro Technologies
Microchip Technology
Microsoft
Millenial Net
Mobilkom Australia
Mocana
Morey
Motorola
MOXA
NeoWay
Nest Labs
Nokia solutions & Networks
Norwest Venture Partners
Novatel Wireless Inc.
nPhase
NTT DOCOMO
Numerex
Omnilink Systems
OnStar
Optus Business
Oracle
Orange Business Services (OBS)
Orange SA
ORBCOMM
Palantiri Systems
Panasonic
Pedigree Technologies
Perle Systems
Post Luxembourg Group
Precidia Technologies
Qualcomm
Quecklink Wireless SolutionsQuectel
Red Bend Software
RF Code Inc.
RF Monolithics
Rogers Communications
RRE
Sagemcom
Savi Technology
SENA Technologies
SensorLogic
Sierra Wireless Inc.
Sigma Designs
SIM Technology Group LTD
SIMCom Wireless Solutions
Singtel
Sixnet
SkyTel
Sony
Sprint Corporation
Swisscom
Synchronoss Technologies
Tech Mahindra Ltd
Telcel
Telecom Italia
Telefonica S.A
Telefonica UK
Telekom Austria
Telenor ASA
Telenor Connexion
Telenor Objects
TeliaSonera
Telit Communications
Telit Wireless
Telstra
Telular
TELUS Mobility
Tendril Networks
Texas Instruments
ThingMagic
TIM
TMData
T-Mobile
Tokyo Electric Power Company (TEPCO)
Top Global
Tridium
Trimble
Tyntec
ublox
u-Blox
V2COM
Verizon Communications
Vimpelcom
Vivo
Vodafone Group Plc
Volkswagen
Walsh Wireless
WebTech Wireless
Wilson Electronics
Wipro
Wyless Group
Xact Techn ology
Xata
ZTE

Government Agencies & Other Organisations Mentioned in This Report
Brazilian telecommunications regulator Agência Nacional de Telecomunicações (Anatel)
DECC
EU Casagras
Global M2M Association (GMA)
MIT
OECD
Technology Association of Georgia
The Alliance for Telecommunications Industry Solutions (ATIS) of the U.S
The Association of Radio Industries and Businesses (ARIB) and the Telecommunication Technology Committee (TTC) of Japan
The China Communications Standards Association (CCSA)
The European Telecommunications Standards Institute (ETSI)
The Telecommunications Industry Association (TIA) of the U.S.
The Telecommunications Technology Association (TTA) of Korea

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Автор: ruten на 03:00 0 коммент.

вторник, 28 июля 2015 г.

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четверг, 23 июля 2015 г.

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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Top 20 Mobile Health (mHealth) Companies 2015 report

Top 20 Mobile Health (mHealth) Companies 2015
Innovators in Mobile Fitness, Telemedicine, eHealth & Remote Patient Monitoring

Publication date: 20 March 2015
Number of Pages: 183< /span>
------------------------------------------------------------

The advent of connected devices and M2M is offering a tremendous opportunity for healthcare professionals. Near-ubiquitous mobile networks are allowing carers to diagnose, monitor, and communicate with patients with unprecedented speed and efficacy. mHealth is a term used for the practice of medicine and health services, through mobile devices. In its most common form, it refers to using mobile communication devices, such as smartphones and tablets, for health services and information mHealth applications include the use of mobile devices in collecting community and clinical health data, delivery of healthcare information to practitioners, researchers, and patients, real-time monitoring of patien t vital signs, and direct provision of care, via mobile telemedicine.

Top 20 Mobile Health (mHealth) Companies 2015: Innovators in Mobile Fitness, Telemedicine, eHealth & Remote Patient Monitoring report provides impartial mHealth sector analysis. With the independent business intelligence found only in our work, you will discover where the prospects are for profit. In particular, our new research provides you with key strategic advantages: our informed, independent, objective analysis and revealing company profiles will provide you with that necessary edge, allowing you to gain ground over your competitors.

With this report you are less likely to fall behind in knowledge or miss crucial business opportunities. You will save time and receive recognition for your market insight. See how this report could benefit and enhance your research, analysis, company presentations and ultimately your individual business decisions and your company's prospects.

What makes this report unique?
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Table of Contents

1. Report Overview
1.1 Current mHealth Market Overview
1.2 MHealth Market Segmentation
1.3 Why You Should Read This Re port
1.4 How This Report Delivers
1.5 Key Questions Answered by This Analytical Report Include:
1.6 Benefits of this Report
1.7 Who is This Report For?
1.8 Methodology
1.9 Frequently Asked Questions (FAQ)
1.10 Associated Visiongain Reports
1.11 About Visiongain

2. Introduction to the Mobile Health (mHealth) Market
2.1 mHealth Market Structure Overview
2.1.1 Opportunities for Mobile Operators
2.2 Key Definitions
2.2.1 mHealth Definition
2.2.2 eHealth Definition
2.2.3 Telemedicine Definition
2.2.4 Health Informatics Definition
2.3 mHealth Drivers
2.3.1 The role of Developed Economies on the mHealth Market?
2.4 Expected Impact of mHealth
2.5 mHealth App Categories

3. The Global and Regional Mobile Health: The State of the Market 2015
3.1 mHealth initiative
3.2 Growth in mHealth Revenue
3.3 Global mHealth Ecosystem Members
3.4 Market and Revenue Segmentation
3.4.1 Revenue Streams from mHe alth
3.4.2 Applications and mHealth
3.4.3 Application Usage Statistics

4. Regional and National mHealth Markets 2014
4.1 Regional mHealth Usership 2014
4.2 Positioning of Regional and National mHealth Markets: Where are the Leaders Making the Greatest Inroads?
4.2.1 North American mHealth Outlook
4.3 The Latin American mHealth Market and Outlook
4.3 The Asia-Pacific mHealth Market
4.4 The European mHealth Market
4.5 The Middle East and African mHealth Market 2014

5. Top 20 Leading mHealth Companies: Innovators, Disruptors, and Incumbents
5.1 AirStrip Technologies
5.1.1 AirStrip ONE
5.1.2 AirStrip Accelerator Services
5.1.3 Partners and Customers
5.1.3.1 AirStrip Partnership With Samsung
5.2 AliveCor
5.2.1 AliveCor Heart Monitor USPs
5.2.2 AliveCor Gains Extra Investment for International Expansion
5.2.3 AliveCor Supports UCSF's Online Health eHeart Study
5.2.4 Market Position and Recognition for New Algorithms and Detectors
5.3 Apple Inc.
5.3.1 Apple's mHealth Strategy
5.3.2 mHealth Apps – Does Apple Have a Monopoly?
5.3.3 Apple and the Healthcare Industry
5.3.4 New Devices, Strategies, and Partnerships
5.3.4.1 Health App a Major First Step for Apple into Fitness
5.3.4.2 Apple Watch
5.3.4.3 Apple Healthkit
5.4 AT&T ForHealth
5.4.1 AT&T mHealth Solutions
5.4.2 Creating Connected mHealth Apps
5.4.3 mHealth Pilot Programs
5.4.3.1 Smart Slippers
5.4.3.2 Employee Diabetes Management
5.4.4 Mobile Resource Management
5.4.5 AT&T Vitality GlowCaps
5.4.6 HipLink
5.5 Athenahealth Inc.
5.5.1 Discovering New Revenue Opportunities in the Digital Age
5.5.2 Reinventing the Healthcare Practice
5.5.3 Athenahealth Current Offerings
5.5.4 Athenahealth Acquires Epocrates
5.5.5 Plunging Deeper into the Hospital Market
5.6 Boston Scientific
5.6.1 Latitude NXT
5.6.2 Partnerships and Remote Monitoring Products at Multi-National Scale
5.7 CardioNet
5.7.1 CardioNet MCOT
5.7.2 MCOT Study
5.7.3 Event and Holter Monitoring
5.8 Cerner
5.8.1 PowerChart Touch: Cerner Utilising its Strength in Electronic Patient Records to Deliver a Pertinent mHealth Solution
5.8.2 Partnerships and Acquisitions
5.8.2.1 Working with Apple for Faster and Wider Delivery of Patient Data
5.8.2.2 Cerner Purchase of Siemens Health Services
5.9 Epocrates
5.9.4.1 Epocrates mHealth Offerings
5.9.4.2 The New "Epocrates Bugs + Drugs" App
5.9.4.3 Epocrates Monetising mHealth Offerings – Analysis
5.10 Fitbit
5.10.1 Fitbit Tracker
5.10.2 Fitbit Flex
5.10.2.1 Fitbit Force
5.10.3 Fitbit Charge
5.10.3.1 Charge App
5.10.4 Fitbit Surge: Lateral Shift into the Smartwatch Arena
5.10.5 Analysis of the Fitbit Business Model
5.11 Honeywell Life Care Solutions
5.11.1 LifeStream Solutions Portfolio: 'Healthcare to Selfcare'
5.11.2 LifeStream Products
5.11.2.1 Care Prov ider Software
5.11.2.2 LifeStream Genesis Touch: Purpose-Built Mobile Patient Monitoring Device
5.12 Jawbone
5.12.1 Jawbone's UP Product Line
5.12.1.1 UP24 and Improvements on the Platform
5.12.2 UP 3.0 and UP24 – New Wristband Addition
5.12.3 Jawbone mHealth Acquisitions
5.13 Motion Computing
5.13.1 Motion Computing's mHealth Offerings
5.14 Nike
5.14.1 Nike mHealth Product Overview
5.14.2 Nike+ FuelBand
5.14.2.1The Nike / Apple Monopoly
5.14.2.2 Barriers to FuelBand Uptake
5.14.3 Situating the FuelBand in Nike's Brand Strategy
5.14.4 FuelBand Analysis and Market Standing
5.15 Qualcomm Life, a Qualcomm Company
5.15.1 2net Platform
5.15.1.1 The 2net Hub and 2net Mobile
5.15.2 Qualcomm Life Acquires HealthyCircles
5.15.3 Qualcomm Life Ecosystem
5.15.4 Qualcomm Announces mHealth Momentum in Europe
5.16 Sanofi
5.16.1 Sanofi iBGStar and the Future of Mobile Diabetes Treatment
5.16.2 Involvement in the Be Healthy, Be Mobile Campaign
5.17 Telcare
5.17.1 Telcare's Market and Business Model
5.17.2 Telcare's Current Offerings
5.17.3 Telcare and Telenor Connexion Partner for mHealth
5.17.4 Telcare, Inc. and Badgeville Partner
5.18 Vodafone mHealth Solutions
5.18.1 Vodafone mHealth Case Studies
5.18.1.1 TRxCARE and Vodafone Help Improve Patient Care
5.18.1.2 mHealth Clinical Research Patient Reported Outcomes
5.18.2 Vodafone mHealth Professional
5.18.3 Vodafone mHealth Partnerships
5.19 Voxiva
5.19.1 Voxiva Offerings
5.19.1.1 Text4baby
5.19.1.2 Text4kids
5.19.1.3 Txt4health
5.19.1.4 Text2quit
5.19.1.5 Care4life
5.19.1.6 Connect4health
5.19.2 Voxiva Delivers 100 Millionth Health Message
5.20 Zephyr
5.20 Zephyr Technology
5.20.1 Zephyr Bioharnesses
5.20.1.1 BH3
5.20.1.2 HxM Bluetooth
5.20.2 Zephyr's BioPatch
5.20.3 ZephyrLIFE Home Remote Patient Monitoring
5.20.3 SWOT Analysis of Zephyr Technology's Portfolio and Strateg y
5.21 Other mHealth Companies and Leading Products

6. Conclusions and Recommendations
6.1 Mobile Devices Have the Potential to Become Powerful Medical Tools
6.2 Untapped Potential for mHealth
6.3 Overcoming Obstacles to mHealth Uptake
6.4 Recommended Actions for Increasing mHealth Uptake
6.4.1 Maintain Low Costs
6.4.2 Gain the Approval of the Healthcare Industry
6.4.3 Solutions Should Offer Ease of Use and Increased Efficiency

7. Glossary
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List of Tables

Table 2.1 eHealth Definitions and Var iations
Table 2.4 eHealth Definitions and Variations
Table 3.1: MHealth Ecosystem Members Described
Table 3.2: MHealth Ecosystem Members Described
Table 3.3: MHealth Application Categories Described
Table 4.1: Latin American mHealth Schemes and Operations 2014 (Project, Partners and Sponsors, Application, Activity)
Table 4.2: Middle East and Africa mHealth Schemes and Operations 2014 (Project, Partners and Sponsors, Application, Activity)
Table 5.1: Top 20 mHealth Companies Revenue and Market Share 2014 ($M, %)
Table 5.2 Airstrip Technologies Overview 2014 (Total revenue, market ranking, % market share, HQ, contact, Website)
Table 5.3: AirStrip Clinical Solutions
Table 5.4: AliveCor Overview 2014 (Total revenue, market ranking, % market share, HQ, Website)
Table 5.5: AliveCor's Heart Monitor USPs
Table 5.6: Apple Overview 2014 (Total revenue, market ranking, % market share, HQ, Website)
Table 5.7: AT&T Overview 2014 (Total revenue, market r anking, % market share, HQ, Website)
Table 5.8: AT&T Mobile Resource Management
Table 5.9: AT&T HipLink USPs
Table 5.x: Athenahealth Overview 2014 (Total revenue, market ranking, % market share, HQ, Website)
Table 5.11: Athenahealth Current Offerings 2014 (Service, Product, Use)
Table 5.12: Boston Scientific Overview 2014 (Total revenue, market ranking, % market share, HQ, Website)
Table 5.13: CardioNet Overview 2014 (Total revenue, market ranking, % market share, HQ, Website)
Table 5.14: CardioNet Product Offering
Table 5.15: Cerner Overview 2014 (Total revenue, market ranking, % market share, HQ, Website)
Table 5.16: Cerner PowerChart Touch Key Benefits
Table 5.17: Epocrates Overview 2014 (Total revenue, market ranking, % market share, HQ, Website)
Table 5.18: Epocrates mHealth Offering for devices Running on Apple iOS (Product, Price $, Application)
Table 5.19: Epocrates mHealth Offering for devices Running on Android OS (Product, Price $, Application)
Table 5.20: Fitbit Overview 2014 (Total revenue, market ranking, % market share, HQ, Website)
Table 5.21: Honeywell Overview 2014 (Total revenue, market ranking, % market share, HQ, Website)
Table 5.22: LifeStream Care Provider Software
Table 5.23: LifeStream Apps
Table 5.24: LifeStream Genesis Touch Key Features
Table 5.25: Jawbone Overview 2014 (Total revenue, market ranking, % market share, HQ, Website)
Table 5.26: Motion Computing Overview 2014 (Total revenue, market ranking, % market share, HQ, Website)
Table 5.27: Motion Computing mHealth Solutions Use Cases and Benefits 2014
Table 5.28: Nike Overview 2014 (Total revenue, market ranking, % market share, HQ, Website)
Table 5.29: Selected Nike+ mHealth Products
Table 5.30: Qualcomm Life Overview 2014 (Total revenue, market ranking, % market share, HQ, Website)
Table 5.31: Sanofi Overview 2014 (Total revenue, market ranking, % market share, HQ, Website)
Table 5.32: Telcare O verview 2014 (Total revenue, market ranking, % market share, HQ, Website)
Table 5.33: Telcare Offerings 2014
Table 5.34: Vodafone Overview 2014 (Total revenue, market ranking, % market share, HQ, Website)
Table 5.35: Vodafone mHealth Solutions 2013
Table 5.36: Vodafone and TRxCARE Case Study
Table 5.37: Clinical Research Patient Reported Outcomes Case Study
Table 5.38: Voxiva Overview 2014 (Total revenue, market ranking, % market share, HQ, Website)
Table 5.39: Zephyr Technology Overview 2014 (Total revenue, market ranking, % market share, HQ, Website)
Table 5.40: Zephyr BH3 Technical Specifications
Table 5.41: Zephy BioPatch Technical Specifications
Table 5.42: SWOT Analysis of Zephyr Technology's Wearable Device Portfolio
Table 5.43: Other mHealth Devices and Companies (Device Name, Type, Company, and Description)

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List of Charts

Chart 1.1: Qualcomm Life mHealth Market Share 2014 (%)
Chart 3.1: MHealth Revenue Segment Share 2015 (%)
Chart 3.2: MHealth Revenue Segment Share 2015 (%)
Chart 3.3: MHealth Application Category Usage Share 2015 (%)
Chart 4.1: Regional mHealth Market Forecast 2014 ($ bn)
Chart 4.2: Regional mHealth Market Share Forecast 2014 (%)
Chart 4.3: Regional mHealth Usership 2014 (million users)
Chart 4.4: Regional mHealth User Share 2014 (%)
Chart 4.5: US/Canada mHealth Market Share 2014 (%)
Chart 4.6: US/Canada mHealth User Share 2014 (%)
Chart 4.7: Leading European National mHealth Markets Revenue Share Forecast 2014 (%)
Chart 4 .8: Leading European National mHealth Markets User Share Forecast 2014 (%)
Chart 5.1: Top 20 mHealth Companies' Market Share 2014 (%)
Chart 5.2: AirStrip mHealth Market Share 2014 (%)
Chart 5.3: AliveCor mHealth Market Share 2014 (%)
Chart 5.4: Apple mHealth Market Share 2014 (%)
Chart 5.5: AT&T mHealth Market Share 2014 (%)
Chart 5.6: AirStrip mHealth Market Share 2014 (%)
Chart 5.7: Boston Scientific mHealth Market Share 2014 (%)
Chart 5.8: CardioNet mHealth Market Share 2014 (%)
Chart 5.9: Cerner mHealth Market Share 2014 (%)
Chart 5.10: Epocrates mHealth Market Share 2014 (%)
Chart 5.11: Fitbit mHealth Market Share 2014 (%)
Chart 5.12: Honeywell Life Care Solutions mHealth Market Share 2014 (%)
Chart 5.13: Jawbone mHealth Market Share 2014 (%)
Chart 5.14: Motion Computing mHealth Market Share 2014 (%)
Chart 5.15: Nike mHealth Market Share 2014 (%)
Chart 5.16: Qualcomm Life mHealth Market Share 2014 (%)
Chart 5.17: Sanofi mHe alth Market Share 2014 (%)
Chart 5.18: Telcare mHealth Market Share 2014 (%)
Chart 5.19: Vodafone mHealth Market Share 2014 (%)
Chart 5.20: Voxiva mHealth Market Share 2014 (%)
Chart 5.21: Zephyr Technology mHealth Market Share 2014 (%)

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List of Figures

Figure 1.1 Global mHealth Market Structure Overview
Figure 2.1 Global mHealth Market Structure Overview
Figure 2.2 Telecare vs. Telehealth Infographic
Figure 2.3: Categorisation and Use Cases for mHealth Technology
Figure 3.1: MHealth Market Key Facts and Figures 1Q1 5

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Companies Mentioned in this report

3M
A&D Medical
Abbott
Adidas
Aerotel
AFrame DIGITAL
AgaMatrix
AirStrip
AlcoSystem
Alive Technologies
AliveCor
Amazon
Ambisea
AMM Technologies
Andreessen Horowitz
ANT+ Wireless (owned by Garmin)
Apple
Apple Inc.
Asthmapolis
AT&T Mobility
Athenahealth
Badgeville
BAM Labs
Basis
Baxter Healthcare
Bayer
Beam Technologies
Bebetel
Belkin
BI
Biotronik
Body Media
Body Trace
Bodybugg
BodyTel
Boston Li feLabs
Boston Scientific
Braemar
Bupa
Cambridge Consultant
Cambridge Temperature Concepts Limited
Card Guard
CardioCom
CardioNet
Care Technology Systems
Cell Novo
Cell-Life
Cerner
CHOICE Electronic Technology
ChoiceMMed
Coca-Cola
Compliance Meds Technologies
Corscience
Corventis
Covidien
Curvus
Cypak
DayaMed
Dayton Industrial
DELTA
Diabetech
DigiFit
eCardio Diagnostics
Echo Therapeutics
ElectricFoxy
Entra Health Systems
Ephone International
Epic Systems
Epocrates
ERT
Everist Genomics
Everist Health
Exmovere
Facebook
FedEx
Fitbit
Fitbug
Fora Care
Foundry Group
Foundry Group
Gavi Alliance
Genesis Health Technologies (GHT)
Geneva Healthcare
Glooko
GSK (GlaxoSmithKline)
HealthPia
Healthy Circles
HeathStats
Hidalgo
Honeywell
Honeywell Life Care Solutions
HP
iBaby
IBM
ICEdot
Ideal Life
iDiagnosis
IEM
iH ealth
iMonSys
Ingram Micro
Intelesens
Iqua (Savox Group)
iTMP Technology
Jawbone
Johnson & Johnson
Khosla Ventures
Kiwok Nordic AB
Kyto Electronic
Lark
LifeScan
LifeWatch
LUMOback
Massive Health
MedApps
Medical Electronic
Medical International Research
Medisana
Mednethealth
Medtronic
mHealthAlert
Microsoft
Microsoft Research
MIT
Mobisante
Motion Computing
Motorola
MTN
New Element
Nike
Nokia
Nonin Medical
Novartis
nSpire
Numera
Omron
Onyx II
Orange Business Services
Pancreum
Perfect Third
Philips
Philosys
PHT Corporation
Polar Electro
Positive ID
Preventice
PriMed
Pro Plus
Proteus Digital Health
Qualcomm
Qualcomm Life
Qualcomm Ventures
RazorInsights
Reebok
Reka Health
Renmort Technologies
Rescue Alert
Roche Diagnostics
RS Tech Medic
Runtastic
Samsung Electronics
Sanofi-Aventis
SAP VenturesSchosche
Sensaris
Sequoia Capital
SHL Telemedicine
Siemens AG
Siemens Health Services
Simavita
SmartHF
Softbank Capital
SoftTech Venture Capital
Solutions4Health
Sony Ericsson
Sotera Wireless
Sports Tracker
St. Jude Medical
Tanita
Telcare
Telcel
Telcomed
Telenor Connexion
The Mayo Clinic
Thinklabs
Toumaz
True Ventures
Tunstall
TZ Medical
UFFE Medical
UnderArmour
Verizon
Visere
Vitality
Vitalograph
Vitaphone
Vodacom
Vodafone Global Enterprise
Vodafone Group
Vodafone UK
Voxiva
Vyzin Electronics Private Limited
Wahoo Fitness
WebMD
Welldoc
Westminster International Ltd
Withings
Y-Cam
Zain
Zensorium
Zeo
Zephyr Technology
Zydacron

Organisations Mentioned in This Report
Accenture Development Partners
AED Satellife
AED Satellite
America
American Academy of Pediatrics (AAP)
American Congress of Obstetricians and Gynecolo gists (ACOG)
American Diabetes Association (ADA)
American Hospital Association
American Hospital Association
American Medical Association
American Nurses Credentialing Center
BabyCenter
Beth Israel Deaconess Medical Center
Bill & Melinda Gates Foundation
CARE Nicaragua
Cellular Telephone Institute of America (CTIA)
Clinton Health Access Initiative (CHAI)
Colorado State University
Columbia University's Mailman School of Public Health
Consumer Electronics Show
DARPA
Dimagi Inc.
D-Tree International
Duke University
Elsevier Foundation
Evangelical Lutheran Church of Tanzania
FDA
Ghana Health Service
Global Business Coalition (GBC)
Government of Kenya
Grameen Foundation
GSM Association Development Fund
Hospital Corporation of America
Hospitalito Atitlan
Imperial College London
Institute for International Cooperation and Development (IICD)
Instituto Carso Salud
International Development Res earch Centre (IDRC)
International Development Research Centre (IDRC)
International Telecommunication Union
International Telecommunication Union
John Hopkins Health & Education in South Africa
Makerere University
Massachusetts Institute of Technology (MIT)
Medical Clinica
Medical University of Graz
Millennium Villages Project
Ministry of Health / National Institutes of Health, Mozambique.
mPedigree
National Healthy Mothers Healthy Babies Coalition (HMHB)
National Institutes of Health (NIH)
National Latino Research Centre at California State University, San Marcos
Pathfinder International
President's Emergency Plan for AIDS Relief (PEPFAR)
Right to Care
Rwanda Ministry of Health
Rwandan Ministry of Health
Scripps
SMS2Printer
Stanford University Hospital
Tanzania Ministry of Health and Social Welfare
The Earth Institute at Columbia University
The Raith Foundation
The SHM Foundation.
The Wellcome Trust
Treatment and Research AIDS Centre (TRAC) Rwanda
Uganda Chartered HealthNet
UNICEF
United States Food and Drug Administration
Universidad Autonoma de Yucatan
Universidad Peruana Cayetano, Heredia Lima
University of Botswana
University of California, San Diego Department of Obstetrics and Gynaecology
University of Pennsylvania
University of Pennsylvania Libraries
University of Pennsylvania School of Medicine
University of Southern California
University of Southern Maine
University of Washington
US Centres for Disease Control and Prevention (CDC)
US Centres for Disease Control and Prevention (CDC)
US Forces
US President's Emergency Plan for AIDS Relief
US Preventive Services Task Force (USPSTF)
USAID
WebMD
Wireless Life Sciences Alliance (WLSA)
World Health Organisation

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