пятница, 4 декабря 2015 г.

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
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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.

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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


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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)


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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


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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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