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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
6.15 ARM Holdings 111
6.16 Atheer Labs 112
6.17 Atlas Wearables 113
6.18 Augmendix 114
6.19 Avegant 115
6.20 Baidu 116
6.21 BAE Systems 117
6.22 Bionym 118
6.23 Biosensics 119
6.24 BIT (Blue Infusion Technologies) 120
6.25 BI (GEO Group) 121
6.26 BIA Sport 122
6.27 Bionym 123
6.28 Boston Scientific 124
6.29 BRAGI 125
6.30 Brilliantservice 126
6.31 Broadcom 127
6.32 Breitling 128
6.33 Brother Industries 128
6.34 BSX Insight 129
6.35 BTS Bioengineering 130
6.36 Buhel 131
6.37 Cambridge Temperature Concepts 132
6.38 Carre Technologies 133
6.39 Casio 134
6.40 Catapult 135
6.41 Citizen 136
6.42 Cityzen Sciences 137
6.43 Codoon 138
6.44 CommandWear 139
6.45 ConnecteDevice 140
6.46 Control VR 141
6.47 CoolShirt Systems 142
6.48 CSR plc 143
6.49 Cuff 144
6.50 Cyberdyne 145
6.51 Dell 146
6.52 DorsaVi (ASX) 147
6.53 Dreamtrap Commercials 148
6.54 EB Sport Group (Sync) 149
6.55 EdanSafe 150
6.56 Ekso Bionics 151
6.57 Electric Foxy 152
6.58 Emotiv Systems 153
6.59 Epson (Seiko Epson Corporation) 154
6.60 Everfind 155
6.61 EuroTech 156
6.62 Evena Medical 157
6.63 Exelis 158
6.64 EyeTap 159
6.65 FashionTEQ 160
6.66 Fat Shark 161
6.67 Fatigue Science 162
6.68 Filip Technologies 163
6.69 Finis 164
6.70 FitBark 165
6.71 Fitbit 166
6.72 Flyfit 167
6.73 Flextronics 168
6.74 Fossil 169
6.75 Foxtel 170
6.76 Freescale Semiconductor 171
6.77 Fujitsu 172
6.78 Garmin 173
6.79 GEAK (Shanda Group) 174
6.80 Gemalto 175
6.81 GDC4S (General Dynamics C4 Systems) 176
6.82 Geopalz 177
6.83 Ginger.io 178
6.84 GlassUp 179
6.85 GN Store Nord (Intelligent Headset) 180
6.86 GoPro 181
6.87 Google 182
6.88 GOQii 183
6.89 HealBe 184
6.90 Heapsylon 185
6.91 HereO 186
6.92 Hovding 187
6.93 HP 188
6.94 HTC 189
6.95 Huawei 190
6.96 i4C Innovations 191
6.97 ICEdot 192
6.98 iHealth Lab 193
6.99 iLOC Technologies 194
6.100 i'm SpA 195
6.101 Imagination Technologies 196
6.102 Imec 197
6.103 Immerz 198
6.104 Ineda Systems 199
6.105 InfinitEye 200
6.106 Intel/Basis Science 201
6.107 InteraXon 202
6.108 InvenSense 203
6.109 iRhythm 204
6.110 Instabeat 205
6.111 Iron Will Innovations 206
6.112 Jabra (GN Netcom) 207
6.113 Jawbone 208
6.114 Jaybird 209
6.115 Johnson & Johnson 210
6.116 Kapture 211
6.117 Ki Performance Lifestyle 212
6.118 Kiwi Wearables 213
6.119 KMS Solutions 214
6.120 Kreyos 215
6.121 Kronoz (Mykronoz) 216
6.122 L-3 Communications 217
6.123 Lark Technologies 218
6.124 Laster Technologies 219
6.125 LeapFrog Enterprises 220
6.126 Lechal 221
6.127 LG Electronics 222
6.128 Limmex 223
6.129 Lockheed Martin 224
6.130 LogBar 225
6.131 LOSTnFOUND 226
6.132 Lumo BodyTech 227
6.133 Lumus 228
6.134 Luxottica 229
6.135 Mad Apparel 230
6.136 Magellan (MiTAC Digital Corporation) 231
6.137 Martian Watches (SilverPlus) 232
6.138 Matilde 233
6.139 McLear 234
6.140 Medtronic 235
6.141 Melon 236
6.142 Memi 237
6.143 META 238
6.144 Meta (MetaWatch) 239
6.145 Microsoft (Nokia) 240
6.146 MindStream 241
6.147 Mio Global 242
6.148 Misfit Wearables 243
6.149 Moff 244
6.150 Moov 245
6.151 Moticon 246
6.152 Motion Fitness 247
6.153 Motorola Mobility/Lenovo 248
6.154 Motorola Solutions 249
6.155 Mutalink 250
6.156 Mutewatch 251
6.157 Myontec 252
6.158 Narrative 253
6.159 Neptune 254
6.160 NeuroPro 255
6.161 NeuroSky 256
6.162 Nike 257
6.163 Nintendo 258
6.164 Nissan 259
6.165 Nod 260
6.166 Notch Interfaces 261
6.167 NTT DoCoMo 262
6.168 Nuance 263
6.169 Nuubo 264
6.170 NVIDIA 265
6.171 NZN Labs 266
6.172 O-Synce 267
6.173 Oculus VR (Facebook) 268
6.174 Omate 269
6.175 OMG Life 270
6.176 Omron 271
6.177 OMsignal 272
6.178 Optalert 273
6.179 Optinvent 274
6.180 OrCam Technologies 275
6.181 OriginGPS 276
6.182 Orpyx Medical Technologies 277
6.183 Owlet Baby Care 278
6.184 Panasonic 279
6.185 Pebble 280
6.186 Perpetua Power Source Technologies 281
6.187 PFO Tech 282
6.188 Phyode 283
6.189 Plantronics 284
6.190 Playtabase 285
6.191 Polar Electro 286
6.192 Pragmasystems 287
6.193 Preventice 288
6.194 Proteus Digital Health 289
6.195 PUSH Design Solutions 290
6.196 Qardio 291
6.197 Qualcomm 292
6.198 Razer 293
6.199 Recon Instruments 294
6.200 Raytheon 295
6.201 Rest Devices 296
6.202 RHLvision Technologies 297
6.203 Ringblingz 298
6.204 RSLSteeper 299
6.205 Rufus Labs 300
6.206 S3 ID 301
6.207 Salesforce.com 302
6.208 Samsung 303
6.209 Seiko 305
6.210 SenseCore 306
6.211 Sensible Baby 307
6.212 Sensoplex 308
6.213 Senso Solutions 309
6.214 Sentimoto 310
6.215 Seraphim Sense 311
6.216 Shimmer 312
6.217 ShotTracker 313
6.218 Si14 314
6.219 Sigmo 315
6.220 Skully Helmets 316
6.221 Smarty Destination Technology 317
6.222 Smarty Ring 318
6.223 SMI (SensoMotoric Instruments) 319
6.224 Snaptracs 320
6.225 Somaxis 321
6.226 Sonitus Medical 322
6.227 Sonostar 323
6.228 Sony 324
6.229 Sotera Wireless 325
6.230 SpotNSave 326
6.231 Sqord 327
6.232 Stalker Radar (Applied Concepts, Inc) 328
6.233 STMicroelectronics 329
6.234 Suunto 330
6.235 sWaP (Dyal Trading) 331
6.236 Swatch Group 332
6.237 T.Ware 333
6.238 Tarsier 334
6.239 TASER International 335
6.240 Technical Illusions 336
6.241 Thalmic Labs 337
6.242 Theatro 338
6.243 TI (Texas Instruments) 339
6.244 Timex Group 340
6.245 TN Games 341
6.246 Tobii Technology 342
6.247 TomTom 343
6.248 Tomoon Technology 344
6.249 Touch Bionics 345
6.250 TrackingPoint 346
6.251 U-blox 347
6.252 Validic (Motivation Science) 348
6.253 Vancive Medical Technologies 349
6.254 Vandrico 350
6.255 Vergence Labs 351
6.256 Vidcie (Looxcie) 352
6.257 Vigo 353
6.258 VSN Mobil 354
6.259 Vuzix 355
6.260 We:eX (Wearable Experiments) 356
6.261 Wearable Intelligence 357
6.262 Weartrons Labs 358
6.263 Wellograph 359
6.264 Withings 360
6.265 WTS (Wonder Technology Solutions) 361
6.266 Xensr 362
6.267 Xiaomi 363
6.268 XOEye Technologies 364
6.269 Xybermind 365
6.270 Yingqu Technology 366
6.271 Zeiss (Carl Zeiss AG) 367
6.272 Zephyr Technology 368
6.273 Zepp Labs 369
6.274 Zinc Software 370
6.275 Zoll Medical Corporation 371
6.276 ZTE 372
7 Chapter 7: Conclusion & Strategic Recommendations 373
7.1 LTE Direct & its Impact on Wearable Technology 373
7.2 How is Wearable Technology Affecting the Wireless Chipsets Ecosystem 374
7.3 How Big is the Wearable Applications Ecosystem? 375
7.4 Prospects of Standardization & Regulation 376
7.5 Prospects of Smartphone OEMs in the Wearable Technology Ecosystem 377
7.6 Wireless Carriers: the Wearable Service Revenue Opportunity? 378
7.7 Vendor Share: Who Leads the Market? 379
7.8 The Rise of Wearable Startups 380
7.9 Combining Fashion with Technology 380
7.10 Recommendations 381
7.10.1 Enabling Technology Providers 381
7.10.2 Wearable Device OEMs & Vertical Players 381
7.10.3 Wearable Application Developers 382
7.10.4 Wireless Carriers 383

List of Figures

Figure 1: In-body Pill Camera 34
Figure 2: Smartphone Installed Base by Region (Millions): 2014 - 2020 39
Figure 3: KOR-FX Haptic Feedback Vest 48
Figure 4: DARPA ULTRA-VIS Wearable Display Unit and Augmented Reality View 56
Figure 5: Wearable Technology Industry Roadmap 69
Figure 6: The Wearable Technology Value Chain 71
Figure 7: Global Wearable Device Shipments (Millions of Units): 2014 - 2020 74
Figure 8: Global Wearable Device Shipment Revenue ($ Million): 2014 - 2020 74
Figure 9: Global Wearable Device Shipments by Form Factor (Millions of Units): 2014 - 2020 75
Figure 10: Global Wearable Device Shipment Revenue by Form Factor ($ Million): 2014 - 2020 75
Figure 11: Global Smart Band Shipments (Millions of Units): 2014 - 2020 76
Figure 12: Global Smart Band Shipment Revenue ($ Million): 2014 - 2020 76
Figure 13: Global Smart Watch Shipments (Millions of Units): 2014 - 2020 77
Figure 14: Global Smart Watch Shipment Revenue ($ Million): 2014 - 2020 77
Figure 15: Global Smart Glasses Shipments (Millions of Units): 2014 - 2020 78
Figure 16: Global Smart Glasses Shipment Revenue ($ Million): 2014 - 2020 78
Figure 17: Global Smart Clothing Shipments (Millions of Units): 2014 - 2020 79
Figure 18: Global Smart Clothing Shipment Revenue ($ Million): 2014 - 2020 79
Figure 19: Global Smart Jewelry Shipments (Millions of Units): 2014 - 2020 80
Figure 20: Global Smart Jewelry Shipment Revenue ($ Million): 2014 - 2020 80
Figure 21: Global Heads-up Display System Shipments (Millions of Units): 2014 - 2020 81
Figure 22: Global Heads-up Display System Shipment Revenue ($ Million): 2014 - 2020 81
Figure 23: Global Other Wearable Device Shipments (Millions of Units): 2014 - 2020 82
Figure 24: Global Other Wearable Device Shipment Revenue ($ Million): 2014 - 2020 82
Figure 25: Global Wearable Device Shipments by Vertical (Millions of Units): 2014 - 2020 83
Figure 26: Global Wearable Device Shipment Revenue by Vertical ($ Million): 2014 - 2020 83
Figure 27: Global Customer Wearable Device Shipments (Millions of Units): 2014 - 2020 84
Figure 28: Global Consumer Wearable Device Shipment Revenue ($ Million): 2014 - 2020 84
Figure 29: Global Healthcare Wearable Device Shipments (Millions of Units): 2014 - 2020 85
Figure 30: Global Healthcare Wearable Device Shipment Revenue ($ Million): 2014 - 2020 85
Figure 31: Global Retail & Hospitality Wearable Device Shipments (Millions of Units): 2014 - 2020 86
Figure 32: Global Retail & Hospitality Wearable Device Shipment Revenue ($ Million): 2014 - 2020 86
Figure 33: Global Military Wearable Device Shipments (Millions of Units): 2014 - 2020 87
Figure 34: Global Military Wearable Device Shipment Revenue ($ Million): 2014 - 2020 87
Figure 35: Global Public Safety Wearable Device Shipments (Millions of Units): 2014 - 2020 88
Figure 36: Global Public Safety Wearable Device Shipment Revenue ($ Million): 2014 - 2020 88
Figure 37: Global Wearable Device Shipments in Other Verticals (Millions of Units): 2014 - 2020 89
Figure 38: Global Wearable Device Shipment Revenue in Other Verticals ($ Million): 2014 - 2020 89
Figure 39: Wearable Device Shipments by Region (Millions of Units): 2014 - 2020 90
Figure 40: Wearable Device Shipment Revenue by Vertical ($ Million): 2014 - 2020 90
Figure 41: Asia Pacific Wearable Device Shipments (Millions of Units): 2014 - 2020 91
Figure 42: Asia Pacific Wearable Device Shipment Revenue ($ Million): 2014 - 2020 91
Figure 43: North America Wearable Device Shipments (Millions of Units): 2014 - 2020 92
Figure 44: North America Wearable Device Shipment Revenue ($ Million): 2014 - 2020 92
Figure 45: Western Europe Wearable Device Shipments (Millions of Units): 2014 - 2020 93
Figure 46: Western Europe Wearable Device Shipment Revenue ($ Million): 2014 - 2020 93
Figure 47: Eastern Europe Wearable Device Shipments (Millions of Units): 2014 - 2020 94
Figure 48: Eastern Europe Wearable Device Shipment Revenue ($ Million): 2014 - 2020 94
Figure 49: Middle East & Africa Wearable Device Shipments (Millions of Units): 2014 - 2020 95
Figure 50: Middle East & Africa Wearable Device Shipment Revenue ($ Million): 2014 - 2020 95
Figure 51: Latin & Central America Wearable Device Shipments (Millions of Units): 2014 - 2020 96
Figure 52: Latin & Central America Wearable Device Shipment Revenue ($ Million): 2014 - 2020 96
Figure 53: Global Wireless Chipset Shipments for Wearable Devices (Millions of Units): 2014 - 2020 374
Figure 54: Global Wearable Application Ecosystem Revenue by Vertical ($ Million): 2014 - 2020 375
Figure 55: Global Wearable Driven Wireless Carrier Service Revenue by Form Factor ($ Million): 2014 - 2020 378
Figure 56: Wearable Technology Market Share (%) 379



To order this report: 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



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When shopping for a new data processing platform for IoT solutions, many development teams want to be able to test-drive options before making a choice. Yet when evaluating an IoT solution, it’s simply not feasible to do so at scale with physical devices. Building a sensor simulator is the next best choice; however, generating a realistic simulation at very high TPS with ease of configurability is a formidable challenge. When dealing with multiple application or transport protocols, you would be...
Smart cities have the potential to change our lives at so many levels for citizens: less pollution, reduced parking obstacles, better health, education and more energy savings. Real-time data streaming and the Internet of Things (IoT) possess the power to turn this vision into a reality. However, most organizations today are building their data infrastructure to focus solely on addressing immediate business needs vs. a platform capable of quickly adapting emerging technologies to address future ...
We are given a desktop platform with Java 8 or Java 9 installed and seek to find a way to deploy high-performance Java applications that use Java 3D and/or Jogl without having to run an installer. We are subject to the constraint that the applications be signed and deployed so that they can be run in a trusted environment (i.e., outside of the sandbox). Further, we seek to do this in a way that does not depend on bundling a JRE with our applications, as this makes downloads and installations rat...
Widespread fragmentation is stalling the growth of the IIoT and making it difficult for partners to work together. The number of software platforms, apps, hardware and connectivity standards is creating paralysis among businesses that are afraid of being locked into a solution. EdgeX Foundry is unifying the community around a common IoT edge framework and an ecosystem of interoperable components.
DX World EXPO, LLC, a Lighthouse Point, Florida-based startup trade show producer and the creator of "DXWorldEXPO® - Digital Transformation Conference & Expo" has announced its executive management team. The team is headed by Levent Selamoglu, who has been named CEO. "Now is the time for a truly global DX event, to bring together the leading minds from the technology world in a conversation about Digital Transformation," he said in making the announcement.
In this strange new world where more and more power is drawn from business technology, companies are effectively straddling two paths on the road to innovation and transformation into digital enterprises. The first path is the heritage trail – with “legacy” technology forming the background. Here, extant technologies are transformed by core IT teams to provide more API-driven approaches. Legacy systems can restrict companies that are transitioning into digital enterprises. To truly become a lead...
Digital Transformation (DX) is not a "one-size-fits all" strategy. Each organization needs to develop its own unique, long-term DX plan. It must do so by realizing that we now live in a data-driven age, and that technologies such as Cloud Computing, Big Data, the IoT, Cognitive Computing, and Blockchain are only tools. In her general session at 21st Cloud Expo, Rebecca Wanta explained how the strategy must focus on DX and include a commitment from top management to create great IT jobs, monitor ...
"Cloud Academy is an enterprise training platform for the cloud, specifically public clouds. We offer guided learning experiences on AWS, Azure, Google Cloud and all the surrounding methodologies and technologies that you need to know and your teams need to know in order to leverage the full benefits of the cloud," explained Alex Brower, VP of Marketing at Cloud Academy, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clar...
The IoT Will Grow: In what might be the most obvious prediction of the decade, the IoT will continue to expand next year, with more and more devices coming online every single day. What isn’t so obvious about this prediction: where that growth will occur. The retail, healthcare, and industrial/supply chain industries will likely see the greatest growth. Forrester Research has predicted the IoT will become “the backbone” of customer value as it continues to grow. It is no surprise that retail is ...