Date: Fri, 25 Dec 2015 15:06:12 -0800 From: "Andy Silva" <andy.silva@snscommunication.com> To: gnome@freebsd.org Subject: The mHealth (Mobile Healthcare) Ecosystem: 2015 - 2030 - Opportunities, Challenges, Strategies & Forecasts (Report) Message-ID: <5472423140584885422725@Ankur>
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The LPWA (Low Power Wide Area) Networks Ecosystem: 2015 =96 2030 =96 Opport= unities, Challenges, Strategies, Industry Verticals & Forecasts Hello=20 Hope you are doing well.=20 I wanted to bring to your attention the latest SNS Research report in which= you might be interested, " The mHealth (Mobile Healthcare) Ecosystem: 2015= =96 2030 =96 Opportunities, Challenges, Strategies & Forecasts."=20 I believe this report will be highly applicable for you. If you would like = to see the report sample or have any questions, please let me know. =20 Report Information: Release Date: September 2015 Number of Pages: 359 Number of Tables and Figures: 105 Report Overview: With more than 7 Billion mobile network subscriptions worldwide, the mobile= communications sector is rapidly gaining traction from a diverse range of = vertical sectors. Healthcare is no exception to this trend.=20 As healthcare providers seek to maximize their patient outreach while minim= izing costs, many view mobile healthcare (or mHealth) as the solution to im= prove healthcare cost=96efficiency.mHealth refers to the usage of mobile co= mmunications technology & devices to enhance access to healthcare informati= on, improve distribution of routine and emergency health services and provi= de diagnostic services. Mobile network operators also view mHealth as a lucrative opportunity for t= he monetization of their mobile connectivity services as a growing proporti= on of their subscribers adopt healthcare centric wearables. Given that mos= t operators have established themselves as reputable consumer brands, they = are also eyeing on opportunities to offer services beyond simple connectivi= ty. Many operators already offer branded or co-branded end-to-end mHealth s= olutions to their customer bases.=20 In addition, mHealth offers a multitude to opportunities to the pharmaceuti= cal industry ranging from R&D activities to securing the supply chain and, = in the battle against counterfeit drugs. Driven by the thriving ecosystem, SNS Research estimates that the mHealth m= arket will account for nearly $18 Billion in 2016 alone. Despite barriers r= elating to regulation, patient acceptance and privacy concerns, SNS Researc= h estimates further growth at a CAGR of 40% over the next 5 years. The =93mHealth (Mobile Healthcare) Ecosystem: 2015 =96 2030 =96 Opportuniti= es, Challenges, Strategies & Forecasts=93 report presents an in=96depth as= sessment of the global mHealth market. In addition to covering key market d= rivers, challenges, future roadmap, value chain analysis, deployment case s= tudies, service/product strategies and strategic recommendations, the repor= t also presents comprehensive forecasts for the mHealth market from 2015 ti= ll 2030. The forecasts and historical revenue figures are individually segm= ented for 5 individual submarkets, 29 use case categories, 5 ecosystem play= er categories, 6 geographical regions and 34 countries. The report comes with an associated Excel datasheet suite covering quantita= tive data from all numeric forecasts presented in the report. =20 Key Findings: The report has the following key findings Driven by the thriving ecosystem, SNS Research estimates that the mHealth m= arket will account for over $18 Billion in 2016 alone Despite barriers relating to regulation, patient acceptance and privacy con= cerns, SNS Research estimates further growth at a CAGR of 40% over the next= 5 years SNS Research estimates that mHealth centric wearable devices will account f= or over 130 Million unit shipments by the end of 2020. In order to gain val= uable insights from the data generated by these devices, healthcare provide= rs and other stakeholders are increasingly investing in Big Data and analyt= ics technology SNS Research estimates that Big Data and analytics technology investments i= n the healthcare sector will account for over $4 Billion by 2020, following= a CAGR of over 14% between 2015 and 2020 In a bid to reduce error rates and enhance patient monitoring, pharmaceutic= al companies are increasingly incorporating smartphone and tablet based mon= itoring apps in their clinical trials mHealth has the potential to dramatically reduce the costs of healthcare op= erations, while improving the quality of healthcare. SNS Research estimates= that by the end of 2016, mHealth could represent up to $340 Billion in ann= ual healthcare cost savings worldwide Topics Covered: The report covers the following topics: The scope and implementation of mHealth across the globe mHealth technology Market drivers and key benefits of mHealth Challenges and inhibitors to the mHealth ecosystem mHealth standardization and regulatory initiatives mHealth opportunities, use cases and applications mHealth deployment case studies Value chain analysis of the mHealth ecosystem and the recognition of key pl= ayers in each segment of the value chain mHealth industry roadmap: 2015 =96 2030 Key trends in the mHealth ecosystem; mHealth regulation & security, adoptio= n of cloud based mHealth services, alliances for ecosystem fortification, a= nd the impact of LTE deployments The role of M2M and wearable technology in the mHealth ecosystem =20 Profiles and strategies of over 200 ecosystem players Strategic recommendations for mobile network operators, wireless infrastruc= ture/device OEMs, application developers, healthcare service providers & ph= armaceutical companies to capitalize on the mHealth opportunity In-depth analysis for 5 individual submarkets and their associated mHealth = application use cases:=20 Pharmaceutical Applications Medical Information & Healthcare Management Healthcare & Fitness Remote Consultation/Diagnostic Services M2M, Wearable Technology, Sensor & Monitoring Applications=20 Historical revenue figures and forecasts till 2030 Forecast Segmentation: Market forecasts and historical revenue figures are provided for each of th= e following 5 submarkets and their 23 use case categories: Pharmaceutical Applications Safety Data Collection Consumer Education Medical Education Post=96Market Monitoring Drug Authentication Social Media Patient Compliance & Retention: Clinical Trials Information & Healthcare Management Electronic Health/Medical Records & Tracking Tools Diagnostic Tools & Medical Reference Continuing Medical Education Awareness Through Alerts Logistical & Payment Support Healthcare & Fitness Medical Compliance Fitness & Nutrition Apps Clinical Decision Support Systems Prescribable Mobile Apps Remote Consultation/Diagnostic Services Mobile Video Consultations, Collaboration & Surgery Non-Video Consultations & Collaboration Remote Collaboration in Emergency Situations M2M, Wearable Technology, Sensor & Monitoring Applications Health and Wellness Monitoring Disease Surveillance/Remote Monitoring Diagnostic Tools Technical Logistics Revenue is also split by ecosystem player: Ecosystem Player Mobile Network Operators/Connectivity Providers Mobile & mHealth Device OEMs Content & Application Providers Healthcare Service Providers Pharmaceutical Industry The following regional and country markets are also covered: Regional Markets Asia Pacific Eastern Europe Latin & Central America Middle East & Africa North America Western Europe Country Markets Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finla= nd, France, Germany, India, Indonesia, Israel, Italy, Japan, Malaysia, Mex= ico, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Si= ngapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, U= K, USA Additional forecasts are provided for the following: Wireless M2M connections for the mHealth vertical mHealth centric wearable device shipments Mobile video calling users Annual throughput of mobile network data traffic Smartphone, feature phone, tablet, desktop PC and notebook shipments Mobile network subscriptions by region Cost saving potential of mHealth by region Big Data & analytics technology investments in the healthcare sector Key Questions Answered: The report provides answers to the following key questions: What are the key market drivers and challenges for the mHealth ecosystem=3F What are the key applications of mHealth=3F How is the mHealth value chain structured and how will it evolve overtime=3F What opportunities does mHealth offer to mobile network operators, healthca= re service providers, pharmaceutical companies and other players in the val= ue chain=3F What strategies should mobile network operators, wireless infrastructure & = device OEMs, healthcare service providers, pharmaceutical companies and app= lication developers adopt to capitalize on the mHealth opportunity=3F How big is the mHealth market, and how much revenue will it generate in 202= 0=3F What will be the installed base of mHealth M2M connections in 2020=3F How many mHealth centric wearable devices will be shipped in 2020=3F What particular submarkets does the mHealth ecosystem constitute=3F What geographical regions, countries and submarkets offer the greatest grow= th potential for mHealth=3F Who are the key players in the mHealth market=3F What level of cost savings can mHealth facilitate for healthcare service pr= oviders in each region=3F What are the key applications of LTE in the mHealth market=3F What considerations should be taken into account to devise a successful mHe= althstrategy for a hospital=3F Report Pricing: Single User License: USD 2,500 Company Wide License: USD 3,500 Ordering Process: Please contact Andy Silva on andy.silva@snscommunication.com Provide the following information: 1. Report Title - 2. Report License - (Single User/Company Wide) 3. Name - 4. Email - 5. Job Title - 6. Company - 7. Invoice Address - Please contact me if you have any questions, or wish to purchase a copy. Ta= ble of contents and List of figures mentioned below for your better inside. I look forward to hearing from you. Kind Regards Andy Silva Marketing Executive Signals and Systems Telecom Reef Tower Jumeirah Lake Towers Sheikh Zayed Road Dubai, UAE =20 ___________________________________________________________________________= __________________________________________________________________________ =20 Table of Content =20 1.1 Topics Covered 1.2 Forecast Segmentation 1.3 Key Questions Answered 1.4 Key Findings 1.5 Methodology 1.6 Target Audience 1.7 Companies & Organizations Mentioned =20 Chapter 2: An Overview of mHealth 2.1 What is mHealth=3F 2.2 The Evolution from eHealth to mHealth 2.3 Telemedicine 2.4 Health Informatics 2.5 The mHealth Business Case 2.6 Key Market Drivers 2.6.1 Increasing Penetration of Smartphones, Tablets & Wearables 2.6.2 Proliferation of Mobile Broadband Networks 2.6.3 The Rise of Chronic Diseases 2.6.4 Growing mHealth Applications: Reduction in Lead Time 2.6.5 Government & Regulatory Initiatives 2.6.6 Physicians at Forefront of Mobility Adoption 2.6.7 The Cost Saving Potential of mHealth 2.6.8 Increasing Adoption of Open Source Software 2.6.9 The Role of Developed Economies 2.6.10 The Role of Emerging Economies 2.7 Barriers to Growth 2.7.1 Security/Privacy Concerns & Absence of Legal Guidelines 2.7.2 Regulation & Efficacy of Applications 2.7.3 Operational Maintenance & Control 2.7.4 Human Behavior: Disbelief among Patients 2.7.5 Lack of Clear mHealth Strategies 2.7.6 Funding Challenges 2.8 mHealth Technologies 2.8.1 Smartphones & Tablets 2.8.2 Mobile Apps 2.8.3 Mobile Broadband: The LTE Era 2.8.4 Wearable Body Sensors 2.8.5 M2M Technology 2.8.6 Mobile Video Calling 2.9 mHealth Use Case Categories 2.9.1 Pharmaceutical Applications 2.9.2 Medical Information & Healthcare Management 2.9.3 Healthcare & Fitness 2.9.4 Remote Consultation/Diagnostic Services 2.9.5 M2M, Wearable Technology, Sensor & Monitoring Applications =20 Chapter 3: mHealth Value Chain and Industry Roadmap 3.1 The mHealth Value Chain 3.1.1 Mobile/mHealth Device, Chipset & Infrastructure OEMs 3.1.2 Mobile Network Operators 3.1.3 Healthcare Professionals & Providers 3.1.4 Insurers and Government Health Systems 3.1.5 The Pharmaceutical Industry 3.1.6 Application Developers & Integrators 3.1.7 Patients 3.2 The mHealth Industry Roadmap: 2015 =96 2030 3.2.1 2015 =96 2020: Commercialization of Consumer Centric mHealth Apps &= Devices 3.2.2 2020 =96 2025: Large Scale Proliferation of Remote Video Consultati= ons & Advanced Apps 3.2.3 2025 =96 2030: The Era of mHealth Analytics =20 Chapter 4: mHealth Use Cases 4.1 Pharmaceutical Applications 4.1.1 Safety Data Collection 4.1.2 Consumer Education 4.1.3 Medical Education 4.1.4 Post=96Market Monitoring 4.1.5 Drug Authentication 4.1.6 Social Media 4.1.7 Patient Compliance & Retention: Clinical Trials 4.2 Medical Information & Healthcare Management 4.2.1 Electronic Health/Medical Records & Tracking Tools 4.2.2 Diagnostic Tools & Medical Reference 4.2.3 Continuing Medical Education 4.2.4 Awareness through Alerts 4.2.5 Logistical & Payment Support 4.3 Healthcare & Fitness 4.3.1 Medical Compliance 4.3.2 Fitness & Nutrition Apps 4.3.3 Clinical Decision Support Systems 4.3.4 Prescribable Mobile Apps 4.4 Remote Consultation/Diagnostics Services 4.4.1 Mobile Video Consultations, Collaboration & Surgery 4.4.2 Non=96Video Consultations & Collaboration 4.4.3 Remote Collaboration in Emergency Situations 4.5 M2M, Wearable Technology, Sensor & Monitoring Applications 4.5.1 Health & Wellness Monitoring 4.5.2 Disease Surveillance/Remote Monitoring 4.5.3 Diagnostic Tools 4.5.4 Technical Logistics =20 Chapter 5: mHealth Deployment Case Studies 5.1 Apollo Hospitals Group: Enabling mHealth for the Masses 5.2 AT&T: Connected Healthcare Monitoring for the Elderly 5.3 London Air Ambulance: Utilizing EE=92s 4G LTE Network to Power Navigati= on 5.4 Novartis: Clinical Trials of the Future 5.5 Orange Healthcare: Fighting Counterfeit Drugs using SMS Technology 5.6 Praekelt Foundation: HIV/AIDS Awareness Campaign 5.7 Qualcomm: 3G=96Enabled Kit for Monitoring Asthmatic Children 5.8 Roche: Powering Clinical Trials with Smartphones 5.9 Verizon: Cloud Based Healthcare Management 5.10 WellDoc: Managing Chronic Diseases using Mobile Apps =20 Chapter 6: mHealth Solution Provider Profiles 6.1 270 Vision 6.2 3L Labs 6.3 3M 6.4 4DForce 6.5 4iii Innovations 6.6 Adidas 6.7 Aerotel Medical Systems 6.8 Aetna 6.9 AGFA Healthcare 6.10 AirStrip Technologies 6.11 Alego Health 6.12 Alivecor 6.13 AllScripts Healthcare Solutions 6.14 AMD Global Telemedicine 6.15 Amiigo 6.16 Apple 6.17 Asics 6.18 AT&T 6.19 Atlas Wearables 6.20 AthenaHealth 6.21 Augmendix 6.22 BettrLife 6.23 Bionym 6.24 Biosensics 6.25 Boston Scientific 6.26 Breakthrough Technologies 6.27 Broadcom 6.28 BSX Athletics 6.29 BlackBerry 6.30 BTS Bioengineering 6.31 Cambridge Consultants 6.32 Cambridge Temperature Concepts 6.33 CardioComm Solutions 6.34 CardioNet 6.35 Carre Technologies 6.36 Catapult 6.37 CellTrust Corporation 6.38 Cerner Corporation 6.39 Chetu 6.40 Cisco Systems 6.41 Cityzen Sciences 6.42 Codoon 6.43 Cyberdyne 6.44 DELTA 6.45 DT (Deutsche Telekom) 6.46 DocbookMD 6.47 DorsaVi (ASX) 6.48 Diversinet Corporation 6.49 Dreamtrap Commercials 6.50 EB Sport Group (Sync) 6.51 E=96Clinical Works 6.52 e=96Cycle 6.53 EdanSafe 6.54 Ekso Bionics 6.55 Emotiv Systems 6.56 Epic Systems Corporation 6.57 Epion Health 6.58 Epocrates (Part of Athena Health) 6.59 Ericsson 6.60 European Medical Network (Medical Network EMN AG) 6.61 Evena Medical 6.62 EWA Solutions AB 6.63 Extension Healthcare 6.64 Fatigue Science 6.65 Finis 6.66 Fitbit 6.67 Flyfit 6.68 Freescale Semiconductor 6.69 FRUCT MD 6.70 Garmin 6.71 Gemalto 6.72 GE Healthcare 6.73 Ginger.io 6.74 Google 6.75 GOQii 6.76 GSK (GlaxoSmithKline) 6.77 HealBe 6.78 HealthTechHatch 6.79 Honeywell Life Care Solutions 6.80 Hovding 6.81 HP 6.82 Huawei 6.83 i4C Innovations 6.84 IBM 6.85 ICEdot 6.86 Ideal Life 6.87 iHealth Lab 6.88 Imec 6.89 Imprivata 6.90 Integron Corporation 6.91 Intel Corporation 6.92 InteraXon 6.93 Intermountain Healthcare 6.94 InTouch Health 6.95 Instabeat 6.96 InvenSense 6.97 IQMax 6.98 iRhythm 6.99 Jawbone 6.100 Jaybird 6.101 Johnson & Johnson 6.102 KDDI Corporation 6.103 Ki Performance Lifestyle 6.104 KORE Telematics 6.105 Kreyos 6.106 Lark Technologies 6.107 Lechal 6.108 LG Electronics 6.109 Lumo BodyTech 6.110 Magellan (MiTAC Digital Corporation) 6.111 Medecin Direct 6.112 MedSignals 6.113 Medtronic 6.114 MedWeb 6.115 Melon 6.116 mHealthAlert 6.117 McKinsey & Company 6.118 Microsoft 6.119 Mio Global 6.120 Misfit Wearables 6.121 Moov 6.122 Moticon 6.123 Motion Computing 6.124 Motion Fitness 6.125 Motorola Mobility / Lenovo 6.126 Myontec 6.127 mQure 6.128 NeuroPro 6.129 Nike 6.130 Nonin Medical 6.131 Notch Interfaces 6.132 Novartis 6.133 NTT DoCoMo 6.134 Nuubo 6.135 NZN Labs 6.136 OnLine Tech 6.137 Omron Corporation 6.138 OMsignal 6.139 Optalert 6.140 Orange 6.141 Orpyx Medical Technologies 6.142 O=96Synce 6.143 Owlet Baby Care 6.144 Panasonic Corporation 6.145 Pharmica Consulting 6.146 Philips 6.147 Phyode 6.148 Polar Electro 6.149 Pragmasystems 6.150 Preventice 6.151 Proteus Digital Health 6.152 PUSH Design Solutions 6.153 Qardio 6.154 Qualcomm Life 6.155 Rest Devices 6.156 Roche Holding (F. Hoffmann-La Roche) 6.157 RSLSteeper 6.158 S3 Group 6.159 Samsung 6.160 Sanofi 6.161 Santech 6.162 SAP 6.163 SCOTTY Group 6.164 SenseCore 6.165 Sensible Baby 6.166 Senso Solutions 6.167 Sentimoto 6.168 Seraphim Sense 6.169 Siemens Healthcare 6.170 SK Telecom 6.171 Snaptracs 6.172 SoftBank Corporation 6.173 SoftServe 6.174 Somaxis 6.175 Sonitus Medical 6.176 Sony Corporation 6.177 Sotera Wireless 6.178 STMicroelectronics 6.179 Swissmed Mobile 6.180 Tactio Health Group 6.181 TCS (TeleCommunication Systems) 6.182 Telcare 6.183 Tele2 6.184 Telecom Italia 6.185 Telenor 6.186 TI (Texas Instruments) 6.187 Toshiba Corporation 6.188 Tunstall Healthcare 6.189 U-blox 6.190 Validic (Motivation Science) 6.191 Vancive Medical Technologies 6.192 Vodafone Group 6.193 Verizon 6.194 Vitaphone 6.195 Voxiva 6.196 Wearable Intelligence 6.197 Wellograph 6.198 WellDoc 6.199 Withings 6.200 Xiaomi 6.201 Zephyr Technology Corporation 6.202 Zinc Software 6.203 Zoll Medical Corporation 6.204 Others =20 Chapter 7: Standardization, Regulation & Development Initiatives 7.1 mHealth Alliance 7.2 GSMA=92s mHealth Program 7.3 Global mHealth Initiative 7.4 MRC (mHealth Regulatory Coalition) 7.5 WLSA (Wireless=96Life Services Alliance) 7.6 EuMHA (European mHealth Alliance) 7.7 mHealth Working Group 7.8 mHIMSS 7.9 Others 7.10 HIPAA and its Implications on mHealth =20 Chapter 8: Market Analysis & Forecasts 8.1 Global Outlook of mHealth Revenue: 2015 =96 2030 8.2 Submarket Segmentation 8.3 Pharmaceutical Applications Submarket Revenue: 2015 =96 2030 8.3.1 Safety Data Collection Use Case 8.3.2 Consumer Education Use Case 8.3.3 Medical Education Use Case 8.3.4 Post=96Market Monitoring Use Case 8.3.5 Drug Authentication Use Case 8.3.6 Social Media Use Case 8.3.7 Patient Compliance & Retention (Clinical Trials) Use Case 8.4 Medical Information & Healthcare Management Submarket Revenue: 2015 =96= 2030 8.4.1 Electronic Health/Medical Records & Tracking Tools Use Case 8.4.2 Diagnostic Tools & Medical Reference Use Case 8.4.3 Continuing Medical Education Use Case 8.4.4 Awareness through Alerts Use Case 8.4.5 Logistical & Payment Support Use Case 8.5 Healthcare & Fitness Submarket Revenue: 2015 =96 2030 8.5.1 Medical Compliance Use Case 8.5.2 Fitness & Nutrition Apps Use Case 8.5.3 Clinical Decision Support Systems Use Case 8.5.4 Prescribable Mobile Apps Use Case 8.6 Remote Consultation/Diagnostic Services Submarket Revenue: 2015 =96 2030 8.6.1 Mobile Video Consultations, Collaboration & Surgery Use Case 8.6.2 Non=96Video Consultations & Collaboration Use Case 8.6.3 Remote Collaboration in Emergency Situations Use Case 8.7 M2M, Wearable Technology, Sensor & Monitoring Applications Submarket Re= venue: 2015 =96 2030 8.7.1 Health and Wellness Monitoring Use Case 8.7.2 Disease Surveillance/Remote Monitoring Use Case 8.7.3 Diagnostic Tools Use Case 8.7.4 Technical Logistics Use Case 8.8 Segmentation by Ecosystem Player 8.8.1 Mobile Network Operators/Connectivity Providers 8.8.2 Mobile & mHealth Device OEMs 8.8.3 Content & Application Providers 8.8.4 Healthcare Service Providers 8.8.5 Pharmaceutical Industry 8.9 Regional Outlook 8.10 Asia Pacific mHealth Revenue: 2015 =96 2030 8.10.1 Country Level Segmentation 8.10.2 Australia 8.10.3 China 8.10.4 India 8.10.5 Japan 8.10.6 South Korea 8.10.7 Pakistan 8.10.8 Thailand 8.10.9 Indonesia 8.10.10 Malaysia 8.10.11 Taiwan 8.10.12 Philippines 8.10.13 Singapore 8.10.14 Rest of Asia Pacific 8.11 Eastern Europe mHealth Revenue: 2015 =96 2030 8.11.1 Country Level Segmentation 8.11.2 Czech Republic 8.11.3 Poland 8.11.4 Russia 8.11.5 Rest of Eastern Europe 8.12 Latin & Central America mHealth Revenue: 2015 =96 2030 8.12.1 Country Level Segmentation 8.12.2 Argentina 8.12.3 Brazil 8.12.4 Mexico 8.12.5 Rest of Latin & Central America 8.13 Middle East & Africa mHealth Revenue: 2015 =96 2030 8.13.1 Country Level Segmentation 8.13.2 Israel 8.13.3 Qatar 8.13.4 Saudi Arabia 8.13.5 South Africa 8.13.6 UAE 8.13.7 Rest of the Middle East & Africa 8.14 North America mHealth Revenue: 2015 =96 2030 8.14.1 Country Level Segmentation 8.14.2 USA 8.14.3 Canada 8.15 Western Europe mHealth Revenue: 2015 =96 2030 8.15.1 Country Level Segmentation 8.15.2 Denmark 8.15.3 Finland 8.15.4 France 8.15.5 Germany 8.15.6 Italy 8.15.7 Spain 8.15.8 Sweden 8.15.9 Norway 8.15.10 UK 8.15.11 Rest of Western Europe =20 Chapter 9: Conclusion & Strategic Recommendations 9.1 Are Prescribable Mobile Apps a Threat to the Pharmaceutical Industry=3F 9.2 Will mHealth Requirements Drive HD Mobile Video Deployments=3F 9.3 Is mHealth Security an All=96or=96nothing Decision=3F 9.4 Healthcare Industry Approval & Accreditation: Key to Success 9.5 Maintenance of Low Costs 9.6 Increase of Operational Efficiency 9.7 Collaborations Help in Promoting mHealth 9.8 The Importance of End User Belief 9.9 Wearable Technology: Prospects in the mHealth Ecosystem 9.10 Are Mobile Network Operators Simply Connectivity Providers for mHealth=3F 9.11 Driving Investments in Big Data & Analytics 9.12 Implementing Successful mHealth Strategies in Hospitals 9.13 Strategic Recommendations 9.13.1 Recommendations for Mobile Network Operators 9.13.2 Recommendations for Wireless Infrastructure & Device OEMs 9.13.3 Recommendations for Application Developers 9.13.4 Recommendations for Healthcare Professionals and Providers 9.13.5 Recommendations for the Pharmaceutical Industry =20 List of Figures Figure 1: Global Connected Consumer Mobile Device vs. PC Shipments: 2015 = =96 2030 (Millions of Units) Figure 2: Mobile Network Subscriptions by Region: 2015 =96 2030 (Millions) Figure 3: Annual Global Throughput of Mobile Network Data Traffic by Region= : 2015 =96 2030 (Exabytes) Figure 4: Cost Saving Potential of mHealth by Region: 2015 =96 2030 ($ Mill= ion) Figure 5: M2M Architecture Figure 6: Global Wireless M2M Connections for mHealth Applications: 2015 = =96 2030 (Millions) Figure 7: Global Mobile Video Calling Users: 2015 =96 2030 (Millions) Figure 8: mHealth Use Case Categories Figure 9: The mHealth Value Chain Figure 10: mHealth Industry Roadmap: 2015 =96 2030 Figure 11: Global mHealth Revenue: 2015 =96 2030 ($ Million) Figure 12: Global mHealth Revenue by Submarket: 2015 =96 2030 ($ Million) Figure 13: Global Pharmaceutical Applications Submarket Revenue: 2015 =96 2= 030 ($ Million) Figure 14: Global Pharmaceutical Applications Submarket Revenue by Use Case= Category: 2015 =96 2030 ($ Million) Figure 15: Global Safety Data Collection Use Case Revenue: 2015 =96 2030 ($= Million) Figure 16: Global Consumer Education Use Case Revenue: 2015 =96 2030 ($ Mil= lion) Figure 17: Global Medical Education Use Case Revenue: 2015 =96 2030 ($ Mill= ion) Figure 18: Global Post=96Market Monitoring Use Case Revenue: 2015 =96 2030 = ($ Million) Figure 19: Global Drug Authentication Use Case Revenue: 2015 =96 2030 ($ Mi= llion) Figure 20: Global Social Media Use Case Revenue: 2015 =96 2030 ($ Million) Figure 21: Global Patient Compliance & Retention (Clinical Trials) Use Case= Revenue: 2015 =96 2030 ($ Million) Figure 22: Global Medical Information & Healthcare Management Submarket Rev= enue: 2015 =96 2030 ($ Million) Figure 23: Global Medical Information & Healthcare Management Submarket Rev= enue by Use Case Category: 2015 =96 2030 ($ Million) Figure 24: Global Electronic Health/Medical Records & Tracking Tools Use Ca= se Revenue: 2015 =96 2030 ($ Million) Figure 25: Global Diagnostic Tools & Medical Reference Use Case Revenue: 20= 15 =96 2030 ($ Million) Figure 26: Global Continuing Medical Education Use Case Revenue: 2015 =96 2= 030 ($ Million) Figure 27: Global Awareness through Alerts Use Case Revenue: 2015 =96 2030 = ($ Million) Figure 28: Global Logistical & Payment Support Use Case Revenue: 2015 =96 2= 030 ($ Million) Figure 29: Global Healthcare & Fitness Submarket Revenue: 2015 =96 2030 ($ = Million) Figure 30: Global Healthcare & Fitness Submarket Revenue by Use Case Catego= ry: 2015 =96 2030 ($ Million) Figure 31: Global Medical Compliance Use Case Revenue: 2015 =96 2030 ($ Mil= lion) Figure 32: Global Fitness & Nutrition Apps Use Case Revenue: 2015 =96 2030 = ($ Million) Figure 33: Global Clinical Decision Support Systems Use Case Revenue: 2015 = =96 2030 ($ Million) Figure 34: Global Prescribable Mobile Apps Use Case Revenue: 2015 =96 2030 = ($ Million) Figure 35: Global Remote Consultation/Diagnostic Services Submarket Revenue= : 2015 =96 2030 ($ Million) Figure 36: Global Remote Consultation/Diagnostic Services Submarket Revenue= by Use Case Category: 2015 =96 2030 ($ Million) Figure 37: Global Mobile Video Consultations, Collaboration & Surgery Use C= ase Revenue: 2015 =96 2030 ($ Million) Figure 38: Global Non=96Video Consultations & Collaboration Use Case Revenu= e: 2015 =96 2030 ($ Million) Figure 39: Global Remote Collaboration in Emergency Situations Use Case Rev= enue: 2015 =96 2030 ($ Million) Figure 40: Global M2M, Wearable Technology, Sensor & Monitoring Application= s Submarket Revenue: 2015 =96 2030 ($ Million) Figure 41: Global M2M, Wearable Technology, Sensor & Monitoring Application= s Submarket Revenue by Use Case Category: 2015 =96 2030 ($ Million) Figure 42: Global Health and Wellness Monitoring Use Case Revenue: 2015 =96= 2030 ($ Million) Figure 43: Global Disease Surveillance/Remote Monitoring Use Case Revenue: = 2015 =96 2030 ($ Million) Figure 44: Global Diagnostic Tools Use Case Revenue: 2015 =96 2030 ($ Milli= on) Figure 45: Global Technical Logistics Use Case Revenue: 2015 =96 2030 ($ Mi= llion) Figure 46: Global mHealth Revenue by Ecosystem Player: 2015 =96 2030 ($ Mil= lion) Figure 47: Global Mobile Network Operators/Connectivity Providers mHealth R= evenue: 2015 =96 2030 ($ Million) Figure 48: Global Mobile & mHealth Device OEMs Revenue: 2015 =96 2030 ($ Mi= llion) Figure 49: Global mHealth Content & Application Providers Revenue: 2015 =96= 2030 ($ Million) Figure 50: Global Healthcare Service Providers mHealth Revenue: 2015 =96 20= 30 ($ Million) Figure 51: Global Pharmaceutical Industry mHealth Revenue: 2015 =96 2030 ($= Million) Figure 52: mHealth Revenue by Region: 2015 =96 2030 ($ Million) Figure 53: Asia Pacific mHealth Revenue: 2015 =96 2030 ($ Million) Figure 54: Asia Pacific mHealth Revenue by Country: 2015 =96 2030 ($ Millio= n) Figure 55: Australia mHealth Revenue: 2015 =96 2030 ($ Million) Figure 56: China mHealth Revenue: 2015 =96 2030 ($ Million) Figure 57: India mHealth Revenue: 2015 =96 2030 ($ Million) Figure 58: Japan mHealth Revenue: 2015 =96 2030 ($ Million) Figure 59: South Korea mHealth Revenue: 2015 =96 2030 ($ Million) Figure 60: Pakistan mHealth Revenue: 2015 =96 2030 ($ Million) Figure 61: Thailand mHealth Revenue: 2015 =96 2030 ($ Million) Figure 62: Indonesia mHealth Revenue: 2015 =96 2030 ($ Million) Figure 63: Malaysia mHealth Revenue: 2015 =96 2030 ($ Million) Figure 64: Taiwan mHealth Revenue: 2015 =96 2030 ($ Million) Figure 65: Philippines mHealth Revenue: 2015 =96 2030 ($ Million) Figure 66: Philippines mHealth Revenue: 2015 =96 2030 ($ Million) Figure 67: mHealth Revenue in the Rest of Asia Pacific: 2015 =96 2030 ($ Mi= llion) Figure 68: Eastern Europe mHealth Revenue: 2015 =96 2030 ($ Million) Figure 69: Eastern Europe mHealth Revenue by Country: 2015 =96 2030 ($ Mill= ion) Figure 70: Czech Republic mHealth Revenue: 2015 =96 2030 ($ Million) Figure 71: Poland mHealth Revenue: 2015 =96 2030 ($ Million) Figure 72: Russia mHealth Revenue: 2015 =96 2030 ($ Million) Figure 73: mHealth Revenue in the Rest of Eastern Europe: 2015 =96 2030 ($ = Million) Figure 74: Latin & Central America mHealth Revenue: 2015 =96 2030 ($ Millio= n) Figure 75: Latin & Central America mHealth Revenue by Country: 2015 =96 203= 0 ($ Million) Figure 76: Argentina mHealth Revenue: 2015 =96 2030 ($ Million) Figure 77: Brazil mHealth Revenue: 2015 =96 2030 ($ Million) Figure 78: Mexico mHealth Revenue: 2015 =96 2030 ($ Million) Figure 79: mHealth Revenue in the Rest of Latin & Central America: 2015 =96= 2030 ($ Million) Figure 80: Middle East & Africa mHealth Revenue: 2015 =96 2030 ($ Million) Figure 81: Middle East & Africa mHealth Revenue by Country: 2015 =96 2030 (= $ Million) Figure 82: Israel mHealth Revenue: 2015 =96 2030 ($ Million) Figure 83: Qatar mHealth Revenue: 2015 =96 2030 ($ Million) Figure 84: Saudi Arabia mHealth Revenue: 2015 =96 2030 ($ Million) Figure 85: South Africa mHealth Revenue: 2015 =96 2030 ($ Million) Figure 86: UAE mHealth Revenue: 2015 =96 2030 ($ Million) Figure 87: mHealth Revenue in the Rest of the Middle East & Africa: 2015 = =96 2030 ($ Million) Figure 88: North America mHealth Revenue: 2015 =96 2030 ($ Million) Figure 89: North America mHealth Revenue by Country: 2015 =96 2030 ($ Milli= on) Figure 90: USA mHealth Revenue: 2015 =96 2030 ($ Million) Figure 91: Canada mHealth Revenue: 2015 =96 2030 ($ Million) Figure 92: Western Europe mHealth Revenue: 2015 =96 2030 ($ Million) Figure 93: Western Europe mHealth Revenue by Country: 2015 =96 2030 ($ Mill= ion) Figure 94: Denmark mHealth Revenue: 2015 =96 2030 ($ Million) Figure 95: Finland mHealth Revenue: 2015 =96 2030 ($ Million) Figure 96: France mHealth Revenue: 2015 =96 2030 ($ Million) Figure 97: Germany mHealth Revenue: 2015 =96 2030 ($ Million) Figure 98: Italy mHealth Revenue: 2015 =96 2030 ($ Million) Figure 99: Spain mHealth Revenue: 2015 =96 2030 ($ Million) Figure 100: Sweden mHealth Revenue: 2015 =96 2030 ($ Million) Figure 101: Norway mHealth Revenue: 2015 =96 2030 ($ Million) Figure 102: UK mHealth Revenue: 2015 =96 2030 ($ Million) Figure 103: mHealth Revenue in the Rest of Western Europe: 2015 =96 2030 ($= Million) Figure 104: Global mHealth Centric Wearable Device Shipments: 2015 - 2030 (= Millions of Units) Figure 105: Global Big Data & Analytics Technology Investments in the Healt= hcare Sector: 2015 - 2030 ($ Billion) =20 =20 Thank you once again and looking forward to hearing from you. =20 Kind Regards =20 Andy Silva Marketing Executive Signals and Systems Telecom andy.silva@snscommunication.com Reef Tower Jumeirah Lake Towers Sheikh Zayed Road Dubai, UAE =20 =20 To unsubscribe send an email with unsubscribe in the subject line to: remov= e@snsreports.com
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