Wearable Technology Ecosystem: 2014 - 2020 - Opportunities, Challenges, Strategies, Industry Verticals & Forecasts

NEW YORK, Aug. 19, 2014 — (PRNewswire) — Reportlinker.com announces that a new market research report is available in its catalogue:

Wearable Technology Ecosystem: 2014 – 2020 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts

http://www.reportlinker.com/p02284855/Wearable-Technology-Ecosystem-2014-–-2020-–-Opportunities-Challenges-Strategies-Industry-Verticals--Forecasts.html

While wearable technology has been utilized in vertical sectors such as the military and healthcare for many years, ongoing advances have triggered a major resurgence of the concept, particularly among the consumer community.

Key enabling technologies including low cost sensors, wireless connectivity, active materials and energy have converged to make wearable technology mainstream. With the continued miniaturization of enabling technologies, wearable devices have hit the mass market in a diverse variety of form factors, ranging from glasses to even jewelry.

Driven by the ability to interconnect with key modern trends of healthcare, fitness, messaging and socialization, the wearable technology ecosystem is attracting significant levels of interest. Companies as varied as smartphone OEMs, wireless carriers, health insurers and retailers are circling the ecosystem alongside tiny startups, all vying for a stake.

SNS Research estimates that by 2015, wearable devices shipments will surpass 90 Million, and will account for nearly $20 Billion in revenue. The market is further expected to grow at a CAGR of nearly 40% over the next six years.

The "Wearable Technology Ecosystem: 2014 – 2020 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts" report presents an in-depth assessment of the wearable technology ecosystem including key market drivers, challenges, investment potential, consumer & vertical market opportunities, use cases, future roadmap, value chain, case studies, vendor market share and strategies. The report also presents forecasts for wearable device shipments and revenue from 2014 through to 2020. The forecasts are further segmented for 7 device form factor submarkets, 6 vertical markets, 6 regions and 73 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.
1 Chapter 1: Introduction 19
1.1 Executive Summary 19
1.2 Topics Covered 21
1.3 Historical Revenue & Forecast Segmentation 22
1.4 Key Questions Answered 24
1.5 Key Findings 25
1.6 Methodology 26
1.7 Target Audience 27
1.8 Companies & Organizations Mentioned 28
2 Chapter 2: An Overview of Wearable Technology 32
2.1 What is Wearable Technology? 32
2.2 Device Classification 32
2.2.1 Head-worn Devices 32
2.2.2 Wrist-worn Devices 32
2.2.3 Leg and Ankle-worn Devices 33
2.2.4 Arm, Chest and Neck-worn Devices 33
2.2.5 Smart Clothing & Jewelry 33
2.2.6 In-Body Wearables 34
2.3 Enabling Technologies 35
2.3.1 MEMS & Sensors 35
2.3.2 BT-LE (Bluetooth Low Energy) & WiFi 35
2.3.3 Voice Recognition 36
2.3.4 Lowed Powered Wireless SoCs 36
2.3.5 RFID & NFC 37
2.3.6 GPS & Navigation Technology 37
2.3.7 Energy Harvesting 37
2.3.8 Ergonomics & Materials Science 38
2.3.9 Augmented Reality 38
2.4 Market Growth Drivers 39
2.4.1 Proliferation of Smartphones 39
2.4.2 Advances in Enabling Technologies & Components 40
2.4.3 Interest from New Market Segments 40
2.4.4 Human Centric Assistance 40
2.4.5 Meaningful Analytics & Tracking 41
2.4.6 Venture Capital, Crowdfunding & Corporate Investments 41
2.4.7 Endorsement by Major Mobile OEMs 41
2.5 Market Barriers 42
2.5.1 High Costs 42
2.5.2 Power Consumption & Battery Life Issues 42
2.5.3 Usability & Unusual Styling 42
2.5.4 Potential Health Issues 43
2.5.5 Privacy & Security Concerns 43
2.5.6 Social Acceptance 43
3 Chapter 3: Vertical Opportunities & Use Cases 45
3.1 Consumer Markets 45
3.1.1 Infotainment & Lifestyle 45
3.1.1.1 Personal Assistance, Notifications & Alerts 45
3.1.1.2 Photography 46
3.1.1.3 Navigation Assistance 46
3.1.1.4 Smart Home Applications 46
3.1.1.5 Media & Entertainment 47
3.1.1.6 Memory Recall 47
3.1.2 Sports & Fitness 47
3.1.3 Gaming 48
3.1.4 Pet Care 48
3.1.5 Child Care & Entertainment 49
3.1.6 Helping People with Disabilities 49
3.1.7 Car Insurance Claims 49
3.1.8 Accurate & Targeted Marketing 50
3.2 Healthcare 51
3.2.1 Remote Patient Monitoring 51
3.2.2 Assisted Patient Examination 51
3.2.3 Reducing Healthcare Costs 51
3.2.4 Optimizing Health Insurance Costs 52
3.2.5 Enhancing Medical R&D 52
3.3 Retail & Hospitality 53
3.3.1 Improving Retail Productivity 53
3.3.2 Comparing & Contrasting Retail Items 53
3.3.3 Travel: Personalizing Customer Service 53
3.3.4 Replacing Hotel Keys and Credit Cards 54
3.3.5 Augmenting City & Museum Tours 54
3.4 Military 55
3.4.1 Enhancing Infantry Tactics: Shooting Without Being Shot 55
3.4.2 Monitoring Combat Stress & Injuries 55
3.4.3 Enhancing Situational Awareness in the Battlefield 56
3.4.4 Enabling Battlefield Mobility 57
3.4.5 Facilitating Communications with Military Dogs 57
3.5 Public Safety 58
3.5.1 Recording Criminal Evidence 58
3.5.2 Enhancing Situational Awareness & Assets Coordination 58
3.5.3 Identifying Suspects & Traffic Violators 59
3.5.4 Monitoring Biophysical Activity for First Responders 59
3.5.5 Enhancing Fire Fighting Capabilities 59
3.5.6 Improving Response to Medical Emergencies 60
3.6 Other Verticals 61
3.6.1 Construction Industry 61
3.6.2 Mining Industry 61
3.6.3 Manufacturing Operations 61
3.6.4 Logistics & Supply Chain 62
3.6.5 Financial Services 62
3.6.6 Security & Authentication 62
3.6.7 Repair, Inspection & Field Services 63
3.6.8 Education 63
3.7 Case Studies 64
3.7.1 Virgin Atlantic: Improving Airline Customer Services with Wearable Technology 64
3.7.1.1 Solution & Vendors 64
3.7.1.2 Applications 64
3.7.1.3 Feedback from the Field 64
3.7.2 U.S. Department of Defense: Delivering Tactical Information with Wearable Technology 65
3.7.2.1 Solution & Vendors 65
3.7.2.2 Applications 65
3.7.2.3 Feedback from the Field 65
3.7.3 Dubai Police: Catching Speeding Drivers with Google Glass 66
3.7.3.1 Solution & Vendors 66
3.7.3.2 Applications 66
3.7.3.3 Feedback from the Field 66
3.7.4 Disney: Theme Park Management with Wearable Technology 67
3.7.4.1 Solution & Vendors 67
3.7.4.2 Applications 67
3.7.4.3 Feedback from the Field 67
3.7.5 AT&T: Connected Healthcare Monitoring for the Elderly 68
3.7.5.1 Solution & Vendors 68
3.7.5.2 Applications 68
3.7.5.3 Feedback from the Field 68
4 Chapter 4: Industry Roadmap & Value Chain 69
4.1 Wearable Technology Industry Roadmap 69
4.1.1 2013 – 2014: Initial Hype & the Revival of Smart Watches 69
4.1.2 2015 – 2016: Convergence of Wrist Worn Wearables 70
4.1.3 2018 – 2020 & Beyond: The Augmented Reality & Smart Glasses Era 70
4.2 The Wearable Technology Value Chain 71
4.2.1 Enabling Technology Ecosystem 71
4.2.1.1 Chipset Vendors 71
4.2.1.2 Sensor, Display & Enabling Hardware Providers 72
4.2.1.3 OS & Software Providers 72
4.2.1 Wearable Device OEM Ecosystem 72
4.2.1.1 Vertical Centric OEMs 72
4.2.1.2 Smartphone, Tablet & Consumer Electronics OEMs 72
4.2.1.3 Fashion & Watch OEMs 73
4.2.2 Consumers & Vertical Enterprises 73
4.2.3 Wireless Carriers & the Connectivity Ecosystem 73
4.2.4 Applications Ecosystem 73
5 Chapter 5: Market Analysis & Forecasts 74
5.1 Global Outlook of Wearable Technology 74
5.2 Form Factor Segmentation 75
5.3 Smart Bands 76
5.4 Smart Watches 77
5.5 Smart Glasses 78
5.6 Smart Clothing 79
5.7 Smart Jewelry 80
5.8 Heads-up Display Systems 81
5.9 Others 82
5.10 Vertical Market Segmentation 83
5.11 Consumer Wearable Devices 84
5.12 Healthcare Wearable Devices 85
5.13 Retail & Hospitality Wearable Devices 86
5.14 Military Wearable Devices 87
5.15 Public Safety Wearable Devices 88
5.16 Wearable Devices in Other Verticals 89
5.17 Regional Market Segmentation 90
5.18 Asia Pacific 91
5.19 North America 92
5.20 Western Europe 93
5.21 Eastern Europe 94
5.22 Middle East & Africa 95
5.23 Latin & Central America 96
6 Chapter 6: Key Market Players 97
6.1 270 Vision 97
6.2 3L Labs 98
6.3 4DForce 99
6.4 4iii Innovations 100
6.5 9Solutions 101
6.6 Active Mind Technology 102
6.7 Adidas 103
6.8 AirType 104
6.9 Amazon 105
6.10 AMD (Advanced Micro Devices) 106
6.11 Amiigo 107
6.12 Apple 108
6.13 ARA (Applied Research Associates) 109
6.14 Archos 110

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