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Published: Sep, 2015 | Pages:
161 | Publisher: SNS Research
Industry: Healthcare | Report Format: Electronic (PDF)
Mobile health, also known as mHealth, is a sub-segment of eHealth. It provides healthcare services via mobile phones, smartphones, PDAs (personal digital assistant), and tablet computers. mHealth applications enable the collection of clinical and personal health data via mobile phones. These applications enable monitoring of vital signs as well as sending healthcare information to doctors. With more than 7 billion mobile phone subscriptions, the mHealth ecosystem will witness an upward traction from 2015 to 2030. The mHealth market is reputed to earn USD 18 billion in 2016. It faces obstacles in the form of privacy concerns, patient acceptance, and regulation. Despite this, it will grow at a 40% CAGR over the next 5 years. The market has the potential to provide growth avenues to the pharmaceutical industry by reducing the distribution of counterfeit drugs. Rising geriatric population coupled with change of lifestyle will result in rising cases of chronic diseases. mHealth uses 3G and 4G network services to transfer data on a patient’s physiology and environment. Mobile network operators can capitalize on this trend and provide mHealth services to their consumer base. They offer services in the form of healthcare call centers, mobile telemedicine, and content-based wellness information. The mHealth ecosystem is bifurcated on the basis of services and participants. Services include monitoring services, diagnosis services, elderly and child care, smoking de-addiction, and healthcare systems strengthening. Monitoring services are further sub-divided into chronic disease management, post acute care services, and independent aging solutions like body trackers. Diagnosis services offer to connect patients to healthcare professionals for a proper diagnosis. Mobile telemedicine is renowned in developed countries which allow rapid delivery of medicine. Participants can be segmented into healthcare providers, mobile network operators (MNO), content providers, and device vendors. Device vendors offer applications to transmit information over mobile networks. Health sensors which track heart rate, glucose levels and blood pressure form a part of the mHealth ecosystem. These sensors are operated via Wi-Fi or Bluetooth providing favorable policies for the private MNOs. They provide reminders for doctor appointments via SMS as well as to convey disease-specific information. Companies providing solutions for the mHealth ecosystem are Alego Health, AGFA Healthcare, Boston Scientific, Cyberdyne, and mQure.
Table of Contents 1 Chapter 1: Introduction 19 1.1 Executive Summary 19 1.2 Topics Covered 21 1.3 Forecast Segmentation 23 1.4 Key Questions Answered 26 1.5 Key Findings 28 1.6 Methodology 29 1.7 Target Audience 30 1.8 Companies & Organizations Mentioned 31 2 Chapter 2: An Overview of mHealth 39 2.1 What is mHealth? 39 2.2 The Evolution from eHealth to mHealth 39 2.3 Telemedicine 40 2.4 Health Informatics 40 2.5 The mHealth Business Case 41 2.6 Key Market Drivers 41 2.6.1 Increasing Penetration of Smartphones, Tablets & Wearables 41 2.6.2 Proliferation of Mobile Broadband Networks 44 2.6.3 The Rise of Chronic Diseases 45 2.6.4 Growing mHealth Applications: Reduction in Lead Time 45 2.6.5 Government & Regulatory Initiatives 46 2.6.6 Physicians at Forefront of Mobility Adoption 46 2.6.7 The Cost Saving Potential of mHealth 47 2.6.8 Increasing Adoption of Open Source Software 48 2.6.9 The Role of Developed Economies 48 2.6.10 The Role of Emerging Economies 49 2.7 Barriers to Growth 49 2.7.1 Security/Privacy Concerns & Absence of Legal Guidelines 49 2.7.2 Regulation & Efficacy of Applications 50 2.7.3 Operational Maintenance & Control 50 2.7.4 Human Behavior: Disbelief among Patients 50 2.7.5 Lack of Clear mHealth Strategies 51 2.7.6 Funding Challenges 51 2.8 mHealth Technologies 51 2.8.1 Smartphones & Tablets 51 2.8.2 Mobile Apps 52 2.8.3 Mobile Broadband: The LTE Era 52 2.8.4 Wearable Body Sensors 52 2.8.5 M2M Technology 54 2.8.6 Mobile Video Calling 56 2.9 mHealth Use Case Categories 57 2.9.1 Pharmaceutical Applications 58 2.9.2 Medical Information & Healthcare Management 58 2.9.3 Healthcare & Fitness 59 2.9.4 Remote Consultation/Diagnostic Services 59 2.9.5 M2M, Wearable Technology, Sensor & Monitoring Applications 60 3 Chapter 3: mHealth Value Chain and Industry Roadmap 61 3.1 The mHealth Value Chain 61 3.1.1 Mobile/mHealth Device, Chipset & Infrastructure OEMs 62 3.1.2 Mobile Network Operators 63 3.1.3 Healthcare Professionals & Providers 63 3.1.4 Insurers and Government Health Systems 63 3.1.5 The Pharmaceutical Industry 64 3.1.6 Application Developers & Integrators 64 3.1.7 Patients 65 3.2 The mHealth Industry Roadmap: 2015 – 2030 66 3.2.1 2015 – 2020: Commercialization of Consumer Centric mHealth Apps & Devices 66 3.2.2 2020 – 2025: Large Scale Proliferation of Remote Video Consultations & Advanced Apps 67 3.2.3 2025 – 2030: The Era of mHealth Analytics 67 4 Chapter 4: mHealth Use Cases 68 4.1 Pharmaceutical Applications 68 4.1.1 Safety Data Collection 68 4.1.2 Consumer Education 68 4.1.3 Medical Education 68 4.1.4 Post–Market Monitoring 69 4.1.5 Drug Authentication 69 4.1.6 Social Media 69 4.1.7 Patient Compliance & Retention: Clinical Trials 70 4.2 Medical Information & Healthcare Management 70 4.2.1 Electronic Health/Medical Records & Tracking Tools 70 4.2.2 Diagnostic Tools & Medical Reference 70 4.2.3 Continuing Medical Education 71 4.2.4 Awareness through Alerts 71 4.2.5 Logistical & Payment Support 71 4.3 Healthcare & Fitness 72 4.3.1 Medical Compliance 72 4.3.2 Fitness & Nutrition Apps 72 4.3.3 Clinical Decision Support Systems 73 4.3.4 Prescribable Mobile Apps 73 4.4 Remote Consultation/Diagnostics Services 73 4.4.1 Mobile Video Consultations, Collaboration & Surgery 73 4.4.2 Non–Video Consultations & Collaboration 74 4.4.3 Remote Collaboration in Emergency Situations 74 4.5 M2M, Wearable Technology, Sensor & Monitoring Applications 74 4.5.1 Health & Wellness Monitoring 75 4.5.2 Disease Surveillance/Remote Monitoring 75 4.5.3 Diagnostic Tools 75 4.5.4 Technical Logistics 75 5 Chapter 5: mHealth Deployment Case Studies 77 5.1 Apollo Hospitals Group: Enabling mHealth for the Masses 77 5.2 AT&T: Connected Healthcare Monitoring for the Elderly 78 5.3 London Air Ambulance: Utilizing EE’s 4G LTE Network to Power Navigation 79 5.4 Novartis: Clinical Trials of the Future 80 5.5 Orange Healthcare: Fighting Counterfeit Drugs using SMS Technology 81 5.6 Praekelt Foundation: HIV/AIDS Awareness Campaign 82 5.7 Qualcomm: 3G–Enabled Kit for Monitoring Asthmatic Children 83 5.8 Roche: Powering Clinical Trials with Smartphones 84 5.9 Verizon: Cloud Based Healthcare Management 85 5.10 WellDoc: Managing Chronic Diseases using Mobile Apps 86 6 Chapter 6: mHealth Solution Provider Profiles 87 6.1 270 Vision 87 6.2 3L Labs 88 6.3 3M 89 6.4 4DForce 90 6.5 4iii Innovations 91 6.6 Adidas 92 6.7 Aerotel Medical Systems 93 6.8 Aetna 94 6.9 AGFA Healthcare 95 6.10 AirStrip Technologies 96 6.11 Alego Health 97 6.12 Alivecor 98 6.13 AllScripts Healthcare Solutions 99 6.14 AMD Global Telemedicine 100 6.15 Amiigo 101 6.16 Apple 102 6.17 Asics 103 6.18 AT&T 104 6.19 Atlas Wearables 105 6.20 AthenaHealth 106 6.21 Augmendix 107 6.22 BettrLife 108 6.23 Bionym 109 6.24 Biosensics 110 6.25 Boston Scientific 111 6.26 Breakthrough Technologies 112 6.27 Broadcom 113 6.28 BSX Athletics 114 6.29 BlackBerry 115 6.30 BTS Bioengineering 116 6.31 Cambridge Consultants 117 6.32 Cambridge Temperature Concepts 118 6.33 CardioComm Solutions 119 6.34 CardioNet 120 6.35 Carre Technologies 121 6.36 Catapult 122 6.37 CellTrust Corporation 123 6.38 Cerner Corporation 124 6.39 Chetu 125 6.40 Cisco Systems 126 6.41 Cityzen Sciences 127 6.42 Codoon 128 6.43 Cyberdyne 129 6.44 DELTA 130 6.45 DT (Deutsche Telekom) 131 6.46 DocbookMD 132 6.47 DorsaVi (ASX) 133 6.48 Diversinet Corporation 134 6.49 Dreamtrap Commercials 135 6.50 EB Sport Group (Sync) 136 6.51 E–Clinical Works 137 6.52 e–Cycle 138 6.53 EdanSafe 139 6.54 Ekso Bionics 140 6.55 Emotiv Systems 141 6.56 Epic Systems Corporation 142 6.57 Epion Health 143 6.58 Epocrates (Part of Athena Health) 144 6.59 Ericsson 145 6.60 European Medical Network (Medical Network EMN AG) 146 6.61 Evena Medical 147 6.62 EWA Solutions AB 148 6.63 Extension Healthcare 149 6.64 Fatigue Science 150 6.65 Finis 151 6.66 Fitbit 152 6.67 Flyfit 153 6.68 Freescale Semiconductor 154 6.69 FRUCT MD 155 6.70 Garmin 156 6.71 Gemalto 157 6.72 GE Healthcare 158 6.73 Ginger.io 159 6.74 Google 160 6.75 GOQii 161 6.76 GSK (GlaxoSmithKline) 162 6.77 HealBe 163 6.78 HealthTechHatch 164 6.79 Honeywell Life Care Solutions 165 6.80 Hovding 166 6.81 HP 167 6.82 Huawei 168 6.83 i4C Innovations 169 6.84 IBM 170 6.85 ICEdot 171 6.86 Ideal Life 172 6.87 iHealth Lab 173 6.88 Imec 174 6.89 Imprivata 175 6.90 Integron Corporation 176 6.91 Intel Corporation 177 6.92 InteraXon 178 6.93 Intermountain Healthcare 179 6.94 InTouch Health 180 6.95 Instabeat 181 6.96 InvenSense 182 6.97 IQMax 183 6.98 iRhythm 184 6.99 Jawbone 185 6.100 Jaybird 186 6.101 Johnson & Johnson 187 6.102 KDDI Corporation 188 6.103 Ki Performance Lifestyle 189 6.104 KORE Telematics 190 6.105 Kreyos 191 6.106 Lark Technologies 192 6.107 Lechal 193 6.108 LG Electronics 194 6.109 Lumo BodyTech 195 6.110 Magellan (MiTAC Digital Corporation) 196 6.111 Medecin Direct 197 6.112 MedSignals 198 6.113 Medtronic 199 6.114 MedWeb 201 6.115 Melon 202 6.116 mHealthAlert 203 6.117 McKinsey & Company 204 6.118 Microsoft 205 6.119 Mio Global 206 6.120 Misfit Wearables 207 6.121 Moov 208 6.122 Moticon 209 6.123 Motion Computing 210 6.124 Motion Fitness 211 6.125 Motorola Mobility / Lenovo 212 6.126 Myontec 213 6.127 mQure 214 6.128 NeuroPro 215 6.129 Nike 216 6.130 Nonin Medical 217 6.131 Notch Interfaces 218 6.132 Novartis 219 6.133 NTT DoCoMo 220 6.134 Nuubo 221 6.135 NZN Labs 222 6.136 OnLine Tech 223 6.137 Omron Corporation 224 6.138 OMsignal 225 6.139 Optalert 226 6.140 Orange 227 6.141 Orpyx Medical Technologies 228 6.142 O–Synce 229 6.143 Owlet Baby Care 230 6.144 Panasonic Corporation 231 6.145 Pharmica Consulting 232 6.146 Philips 233 6.147 Phyode 234 6.148 Polar Electro 235 6.149 Pragmasystems 236 6.150 Preventice 237 6.151 Proteus Digital Health 238 6.152 PUSH Design Solutions 239 6.153 Qardio 240 6.154 Qualcomm Life 241 6.155 Rest Devices 242 6.156 Roche Holding (F. Hoffmann-La Roche) 243 6.157 RSLSteeper 244 6.158 S3 Group 245 6.159 Samsung 246 6.160 Sanofi 247 6.161 Santech 248 6.162 SAP 249 6.163 SCOTTY Group 250 6.164 SenseCore 251 6.165 Sensible Baby 252 6.166 Senso Solutions 253 6.167 Sentimoto 254 6.168 Seraphim Sense 255 6.169 Siemens Healthcare 256 6.170 SK Telecom 257 6.171 Snaptracs 258 6.172 SoftBank Corporation 259 6.173 SoftServe 260 6.174 Somaxis 261 6.175 Sonitus Medical 262 6.176 Sony Corporation 263 6.177 Sotera Wireless 264 6.178 STMicroelectronics 265 6.179 Swissmed Mobile 266 6.180 Tactio Health Group 267 6.181 TCS (TeleCommunication Systems) 268 6.182 Telcare 269 6.183 Tele2 270 6.184 Telecom Italia 271 6.185 Telenor 272 6.186 TI (Texas Instruments) 273 6.187 Toshiba Corporation 274 6.188 Tunstall Healthcare 275 6.189 U-blox 276 6.190 Validic (Motivation Science) 277 6.191 Vancive Medical Technologies 278 6.192 Vodafone Group 279 6.193 Verizon 280 6.194 Vitaphone 281 6.195 Voxiva 282 6.196 Wearable Intelligence 283 6.197 Wellograph 284 6.198 WellDoc 285 6.199 Withings 286 6.200 Xiaomi 287 6.201 Zephyr Technology Corporation 288 6.202 Zinc Software 289 6.203 Zoll Medical Corporation 290 6.204 Others 291 7 Chapter 7: Standardization, Regulation & Development Initiatives 294 7.1 mHealth Alliance 294 7.2 GSMA’s mHealth Program 295 7.3 Global mHealth Initiative 296 7.4 MRC (mHealth Regulatory Coalition) 296 7.5 WLSA (Wireless–Life Services Alliance) 296 7.6 EuMHA (European mHealth Alliance) 297 7.7 mHealth Working Group 297 7.8 mHIMSS 298 7.9 Others 298 7.10 HIPAA and its Implications on mHealth 298 8 Chapter 8: Market Analysis & Forecasts 300 8.1 Global Outlook of mHealth Revenue: 2015 – 2030 300 8.2 Submarket Segmentation 301 8.3 Pharmaceutical Applications Submarket Revenue: 2015 – 2030 302 8.3.1 Safety Data Collection Use Case 303 8.3.2 Consumer Education Use Case 303 8.3.3 Medical Education Use Case 304 8.3.4 Post–Market Monitoring Use Case 304 8.3.5 Drug Authentication Use Case 305 8.3.6 Social Media Use Case 305 8.3.7 Patient Compliance & Retention (Clinical Trials) Use Case 306 8.4 Medical Information & Healthcare Management Submarket Revenue: 2015 – 2030 307 8.4.1 Electronic Health/Medical Records & Tracking Tools Use Case 308 8.4.2 Diagnostic Tools & Medical Reference Use Case 308 8.4.3 Continuing Medical Education Use Case 309 8.4.4 Awareness through Alerts Use Case 309 8.4.5 Logistical & Payment Support Use Case 310 8.5 Healthcare & Fitness Submarket Revenue: 2015 – 2030 311 8.5.1 Medical Compliance Use Case 312 8.5.2 Fitness & Nutrition Apps Use Case 312 8.5.3 Clinical Decision Support Systems Use Case 313 8.5.4 Prescribable Mobile Apps Use Case 313 8.6 Remote Consultation/Diagnostic Services Submarket Revenue: 2015 – 2030 314 8.6.1 Mobile Video Consultations, Collaboration & Surgery Use Case 315 8.6.2 Non–Video Consultations & Collaboration Use Case 315 8.6.3 Remote Collaboration in Emergency Situations Use Case 316 8.7 M2M, Wearable Technology, Sensor & Monitoring Applications Submarket Revenue: 2015 – 2030 317 8.7.1 Health and Wellness Monitoring Use Case 318 8.7.2 Disease Surveillance/Remote Monitoring Use Case 318 8.7.3 Diagnostic Tools Use Case 319 8.7.4 Technical Logistics Use Case 319 8.8 Segmentation by Ecosystem Player 320 8.8.1 Mobile Network Operators/Connectivity Providers 320 8.8.2 Mobile & mHealth Device OEMs 321 8.8.3 Content & Application Providers 321 8.8.4 Healthcare Service Providers 322 8.8.5 Pharmaceutical Industry 322 8.9 Regional Outlook 323 8.10 Asia Pacific mHealth Revenue: 2015 – 2030 324 8.10.1 Country Level Segmentation 324 8.10.2 Australia 325 8.10.3 China 325 8.10.4 India 326 8.10.5 Japan 326 8.10.6 South Korea 327 8.10.7 Pakistan 327 8.10.8 Thailand 328 8.10.9 Indonesia 328 8.10.10 Malaysia 329 8.10.11 Taiwan 329 8.10.12 Philippines 330 8.10.13 Singapore 330 8.10.14 Rest of Asia Pacific 331 8.11 Eastern Europe mHealth Revenue: 2015 – 2030 332 8.11.1 Country Level Segmentation 332 8.11.2 Czech Republic 333 8.11.3 Poland 333 8.11.4 Russia 334 8.11.5 Rest of Eastern Europe 334 8.12 Latin & Central America mHealth Revenue: 2015 – 2030 335 8.12.1 Country Level Segmentation 335 8.12.2 Argentina 336 8.12.3 Brazil 336 8.12.4 Mexico 337 8.12.5 Rest of Latin & Central America 337 8.13 Middle East & Africa mHealth Revenue: 2015 – 2030 338 8.13.1 Country Level Segmentation 338 8.13.2 Israel 339 8.13.3 Qatar 339 8.13.4 Saudi Arabia 340 8.13.5 South Africa 340 8.13.6 UAE 341 8.13.7 Rest of the Middle East & Africa 341 8.14 North America mHealth Revenue: 2015 – 2030 342 8.14.1 Country Level Segmentation 342 8.14.2 USA 343 8.14.3 Canada 343 8.15 Western Europe mHealth Revenue: 2015 – 2030 344 8.15.1 Country Level Segmentation 344 8.15.2 Denmark 345 8.15.3 Finland 345 8.15.4 France 346 8.15.5 Germany 346 8.15.6 Italy 347 8.15.7 Spain 347 8.15.8 Sweden 348 8.15.9 Norway 348 8.15.10 UK 349 8.15.11 Rest of Western Europe 349 9 Chapter 9: Conclusion & Strategic Recommendations 350 9.1 Are Prescribable Mobile Apps a Threat to the Pharmaceutical Industry? 350 9.2 Will mHealth Requirements Drive HD Mobile Video Deployments? 350 9.3 Is mHealth Security an All–or–nothing Decision? 351 9.4 Healthcare Industry Approval & Accreditation: Key to Success 351 9.5 Maintenance of Low Costs 352 9.6 Increase of Operational Efficiency 352 9.7 Collaborations Help in Promoting mHealth 353 9.8 The Importance of End User Belief 353 9.9 Wearable Technology: Prospects in the mHealth Ecosystem 354 9.10 Are Mobile Network Operators Simply Connectivity Providers for mHealth? 355 9.11 Driving Investments in Big Data & Analytics 356 9.12 Implementing Successful mHealth Strategies in Hospitals 357 9.13 Strategic Recommendations 358 9.13.1 Recommendations for Mobile Network Operators 358 9.13.2 Recommendations for Wireless Infrastructure & Device OEMs 358 9.13.3 Recommendations for Application Developers 359 9.13.4 Recommendations for Healthcare Professionals and Providers 359 9.13.5 Recommendations for the Pharmaceutical Industry 359
List of Figures Figure 1: Global Connected Consumer Mobile Device vs. PC Shipments: 2015 – 2030 (Millions of Units) 43 Figure 2: Mobile Network Subscriptions by Region: 2015 – 2030 (Millions) 44 Figure 3: Annual Global Throughput of Mobile Network Data Traffic by Region: 2015 – 2030 (Exabytes) 45 Figure 4: Cost Saving Potential of mHealth by Region: 2015 – 2030 ($ Million) 48 Figure 5: M2M Architecture 55 Figure 6: Global Wireless M2M Connections for mHealth Applications: 2015 – 2030 (Millions) 56 Figure 7: Global Mobile Video Calling Users: 2015 – 2030 (Millions) 57 Figure 8: mHealth Use Case Categories 58 Figure 9: The mHealth Value Chain 62 Figure 10: mHealth Industry Roadmap: 2015 – 2030 67 Figure 11: Global mHealth Revenue: 2015 – 2030 ($ Million) 301 Figure 12: Global mHealth Revenue by Submarket: 2015 – 2030 ($ Million) 302 Figure 13: Global Pharmaceutical Applications Submarket Revenue: 2015 – 2030 ($ Million) 303 Figure 14: Global Pharmaceutical Applications Submarket Revenue by Use Case Category: 2015 – 2030 ($ Million) 303 Figure 15: Global Safety Data Collection Use Case Revenue: 2015 – 2030 ($ Million) 304 Figure 16: Global Consumer Education Use Case Revenue: 2015 – 2030 ($ Million) 304 Figure 17: Global Medical Education Use Case Revenue: 2015 – 2030 ($ Million) 305 Figure 18: Global Post–Market Monitoring Use Case Revenue: 2015 – 2030 ($ Million) 305 Figure 19: Global Drug Authentication Use Case Revenue: 2015 – 2030 ($ Million) 306 Figure 20: Global Social Media Use Case Revenue: 2015 – 2030 ($ Million) 306 Figure 21: Global Patient Compliance & Retention (Clinical Trials) Use Case Revenue: 2015 – 2030 ($ Million) 307 Figure 22: Global Medical Information & Healthcare Management Submarket Revenue: 2015 – 2030 ($ Million) 308 Figure 23: Global Medical Information & Healthcare Management Submarket Revenue by Use Case Category: 2015 – 2030 ($ Million) 308 Figure 24: Global Electronic Health/Medical Records & Tracking Tools Use Case Revenue: 2015 – 2030 ($ Million) 309 Figure 25: Global Diagnostic Tools & Medical Reference Use Case Revenue: 2015 – 2030 ($ Million) 309 Figure 26: Global Continuing Medical Education Use Case Revenue: 2015 – 2030 ($ Million) 310 Figure 27: Global Awareness through Alerts Use Case Revenue: 2015 – 2030 ($ Million) 310 Figure 28: Global Logistical & Payment Support Use Case Revenue: 2015 – 2030 ($ Million) 311 Figure 29: Global Healthcare & Fitness Submarket Revenue: 2015 – 2030 ($ Million) 312 Figure 30: Global Healthcare & Fitness Submarket Revenue by Use Case Category: 2015 – 2030 ($ Million) 312 Figure 31: Global Medical Compliance Use Case Revenue: 2015 – 2030 ($ Million) 313 Figure 32: Global Fitness & Nutrition Apps Use Case Revenue: 2015 – 2030 ($ Million) 313 Figure 33: Global Clinical Decision Support Systems Use Case Revenue: 2015 – 2030 ($ Million) 314 Figure 34: Global Prescribable Mobile Apps Use Case Revenue: 2015 – 2030 ($ Million) 314 Figure 35: Global Remote Consultation/Diagnostic Services Submarket Revenue: 2015 – 2030 ($ Million) 315 Figure 36: Global Remote Consultation/Diagnostic Services Submarket Revenue by Use Case Category: 2015 – 2030 ($ Million) 315 Figure 37: Global Mobile Video Consultations, Collaboration & Surgery Use Case Revenue: 2015 – 2030 ($ Million) 316 Figure 38: Global Non–Video Consultations & Collaboration Use Case Revenue: 2015 – 2030 ($ Million) 316 Figure 39: Global Remote Collaboration in Emergency Situations Use Case Revenue: 2015 – 2030 ($ Million) 317 Figure 40: Global M2M, Wearable Technology, Sensor & Monitoring Applications Submarket Revenue: 2015 – 2030 ($ Million) 318 Figure 41: Global M2M, Wearable Technology, Sensor & Monitoring Applications Submarket Revenue by Use Case Category: 2015 – 2030 ($ Million) 318 Figure 42: Global Health and Wellness Monitoring Use Case Revenue: 2015 – 2030 ($ Million) 319 Figure 43: Global Disease Surveillance/Remote Monitoring Use Case Revenue: 2015 – 2030 ($ Million) 319 Figure 44: Global Diagnostic Tools Use Case Revenue: 2015 – 2030 ($ Million) 320 Figure 45: Global Technical Logistics Use Case Revenue: 2015 – 2030 ($ Million) 320 Figure 46: Global mHealth Revenue by Ecosystem Player: 2015 – 2030 ($ Million) 321 Figure 47: Global Mobile Network Operators/Connectivity Providers mHealth Revenue: 2015 – 2030 ($ Million) 321 Figure 48: Global Mobile & mHealth Device OEMs Revenue: 2015 – 2030 ($ Million) 322 Figure 49: Global mHealth Content & Application Providers Revenue: 2015 – 2030 ($ Million) 322 Figure 50: Global Healthcare Service Providers mHealth Revenue: 2015 – 2030 ($ Million) 323 Figure 51: Global Pharmaceutical Industry mHealth Revenue: 2015 – 2030 ($ Million) 323 Figure 52: mHealth Revenue by Region: 2015 – 2030 ($ Million) 324 Figure 53: Asia Pacific mHealth Revenue: 2015 – 2030 ($ Million) 325 Figure 54: Asia Pacific mHealth Revenue by Country: 2015 – 2030 ($ Million) 325 Figure 55: Australia mHealth Revenue: 2015 – 2030 ($ Million) 326 Figure 56: China mHealth Revenue: 2015 – 2030 ($ Million) 326 Figure 57: India mHealth Revenue: 2015 – 2030 ($ Million) 327 Figure 58: Japan mHealth Revenue: 2015 – 2030 ($ Million) 327 Figure 59: South Korea mHealth Revenue: 2015 – 2030 ($ Million) 328 Figure 60: Pakistan mHealth Revenue: 2015 – 2030 ($ Million) 328 Figure 61: Thailand mHealth Revenue: 2015 – 2030 ($ Million) 329 Figure 62: Indonesia mHealth Revenue: 2015 – 2030 ($ Million) 329 Figure 63: Malaysia mHealth Revenue: 2015 – 2030 ($ Million) 330 Figure 64: Taiwan mHealth Revenue: 2015 – 2030 ($ Million) 330 Figure 65: Philippines mHealth Revenue: 2015 – 2030 ($ Million) 331 Figure 66: Philippines mHealth Revenue: 2015 – 2030 ($ Million) 331 Figure 67: mHealth Revenue in the Rest of Asia Pacific: 2015 – 2030 ($ Million) 332 Figure 68: Eastern Europe mHealth Revenue: 2015 – 2030 ($ Million) 333 Figure 69: Eastern Europe mHealth Revenue by Country: 2015 – 2030 ($ Million) 333 Figure 70: Czech Republic mHealth Revenue: 2015 – 2030 ($ Million) 334 Figure 71: Poland mHealth Revenue: 2015 – 2030 ($ Million) 334 Figure 72: Russia mHealth Revenue: 2015 – 2030 ($ Million) 335 Figure 73: mHealth Revenue in the Rest of Eastern Europe: 2015 – 2030 ($ Million) 335 Figure 74: Latin & Central America mHealth Revenue: 2015 – 2030 ($ Million) 336 Figure 75: Latin & Central America mHealth Revenue by Country: 2015 – 2030 ($ Million) 336 Figure 76: Argentina mHealth Revenue: 2015 – 2030 ($ Million) 337 Figure 77: Brazil mHealth Revenue: 2015 – 2030 ($ Million) 337 Figure 78: Mexico mHealth Revenue: 2015 – 2030 ($ Million) 338 Figure 79: mHealth Revenue in the Rest of Latin & Central America: 2015 – 2030 ($ Million) 338 Figure 80: Middle East & Africa mHealth Revenue: 2015 – 2030 ($ Million) 339 Figure 81: Middle East & Africa mHealth Revenue by Country: 2015 – 2030 ($ Million) 339 Figure 82: Israel mHealth Revenue: 2015 – 2030 ($ Million) 340 Figure 83: Qatar mHealth Revenue: 2015 – 2030 ($ Million) 340 Figure 84: Saudi Arabia mHealth Revenue: 2015 – 2030 ($ Million) 341 Figure 85: South Africa mHealth Revenue: 2015 – 2030 ($ Million) 341 Figure 86: UAE mHealth Revenue: 2015 – 2030 ($ Million) 342 Figure 87: mHealth Revenue in the Rest of the Middle East & Africa: 2015 – 2030 ($ Million) 342 Figure 88: North America mHealth Revenue: 2015 – 2030 ($ Million) 343 Figure 89: North America mHealth Revenue by Country: 2015 – 2030 ($ Million) 343 Figure 90: USA mHealth Revenue: 2015 – 2030 ($ Million) 344 Figure 91: Canada mHealth Revenue: 2015 – 2030 ($ Million) 344 Figure 92: Western Europe mHealth Revenue: 2015 – 2030 ($ Million) 345 Figure 93: Western Europe mHealth Revenue by Country: 2015 – 2030 ($ Million) 345 Figure 94: Denmark mHealth Revenue: 2015 – 2030 ($ Million) 346 Figure 95: Finland mHealth Revenue: 2015 – 2030 ($ Million) 346 Figure 96: France mHealth Revenue: 2015 – 2030 ($ Million) 347 Figure 97: Germany mHealth Revenue: 2015 – 2030 ($ Million) 347 Figure 98: Italy mHealth Revenue: 2015 – 2030 ($ Million) 348 Figure 99: Spain mHealth Revenue: 2015 – 2030 ($ Million) 348 Figure 100: Sweden mHealth Revenue: 2015 – 2030 ($ Million) 349 Figure 101: Norway mHealth Revenue: 2015 – 2030 ($ Million) 349 Figure 102: UK mHealth Revenue: 2015 – 2030 ($ Million) 350 Figure 103: mHealth Revenue in the Rest of Western Europe: 2015 – 2030 ($ Million) 350 Figure 104: Global mHealth Centric Wearable Device Shipments: 2015 - 2030 (Millions of Units) 355 Figure 105: Global Big Data & Analytics Technology Investments in the Healthcare Sector: 2015 - 2030 ($ Billion) 357
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