mHealth Data Management and Integration: Apple, Google, Microsoft, and Samsung's Push for Integrated Wellness and Healthcare Image

mHealth Data Management and Integration: Apple, Google, Microsoft, and Samsung's Push for Integrated Wellness and Healthcare

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Over the past year Apple, Samsung, Google, and Microsoft have all launched new services geared specifically to collecting, managing, and storing wearable mHealth device data. Their goal is to help bridge the gap between a growing wave of data collection and the usefulness of that data within healthcare and wellbeing services. Their interest and investment builds on a growing understanding that wearable wireless devices, enabled with the ability to detect an expanding range of physical parameters, will increasingly deliver valuable new services a range of new revenue streams. Boosting their appeal they also offer a way to tackle some of the most pressing healthcare issues in the developed world.

This report examines the market and the potential of mHealth wearable device collected data and its value within the healthcare provision and beyond. It provides qualitative as well as quantitate analysis including potential revenues and revenue stream analysis for the new platform services.

Table of Contents

  • 1. THE RISE OF MHEALTH SENSOR CLOUD PLATFORMS
    • 1.1. Apple, Google, Microsoft, and Samsung
    • 1.2. mHealth Data Collection Definitions
      • 1.2.1. Wearable mHealth Data Devices
      • 1.2.2. Smartphones
    • 1.3. mHealth Sensor Cloud Platform Definition
    • 1.4. mHealth Sensor Data Platform Requirements
    • 1.5. The Case for mHealth Sensor Data in Healthcare
      • 1.5.1. Growing Demand for Healthcare Efficiency
      • 1.5.2. mHealth Data and Healthcare Efficiency
    • 1.6. Obstacles to mHealth Data Adoption in Healthcare
    • 1.7. The Role of mHealth Sensor Cloud Platforms
  • 2. APPLE, GOOGLE, MICROSOFT, AND SAMSUNG
    • 2.1. Apple
      • 2.1.1. HealthKit
      • 2.1.2. HealthKit Adoption
      • 2.1.3. HealthKit Structure
      • 2.1.4. ResearchKit
      • 2.1.5. Apple Watch
      • 2.1.6. Summary
    • 2.2. Google
      • 2.2.1. Google Fit
      • 2.2.2. Google Fit Data Structure
      • 2.2.3. Supported Fitness Data Types
      • 2.2.4. Google Cloud
      • 2.2.5. Android Wear and Brillo
      • 2.2.6. Summary
    • 2.3. Microsoft Health
      • 2.3.1. HealthVault
      • 2.3.2. Microsoft Health Platform
      • 2.3.3. Microsoft Band
      • 2.3.4. Microsoft Health App
      • 2.3.5. Summary
    • 2.4. Samsung
      • 2.4.1. Samsung in Healthcare
      • 2.4.2. SAMI and Samsung's IoT Play
      • 2.4.3. SAMI Data Platform Structure
      • 2.4.4. S Health
      • 2.4.5. Summary
    • 2.5. Third-party mHealth Cloud Sensor Platform Rivals
    • 2.6. Validic
    • 2.7. Ginger.io
    • 2.8. Qualcomm Health
    • 2.9. Under Armour
  • 3. MHEALTH DATA CONNECTION GROWTH AND POTENTIAL
    • 3.1. mHealth Device Shipments
    • 3.2. Third-party mHealth Sensor Data Platforms
    • 3.3. The Smartphone OS Impact
    • 3.4. mHealth Data Platform Connectivity
    • 3.5. mHealth Sensor Data Revenues
    • 3.6. Summary

Tables

  1. Wearable Wireless mHealth Device Shipments by Application, World Market, Forecast: 2015 to 2020
  2. Wearable Wireless mHealth Device Shipments by Region, World Market, Forecast: 2015 to 2020
  3. mHealth Devices Connected to Third-party Cloud Platforms by Region, World Market, Forecast: 2015 to 2020
  4. Smartphone Unit Shipments by OS, World Market, Forecast: 2015 to 2020
  5. New Active Users of Native mHealth Cloud Platform by Operating System, World Market, Forecast: 2015 to 2020
  6. New Active Users of Native mHealth Cloud Platform by Device Vendor, World Market, Forecast: 2015 to 2020
  7. mHealth Device and Cloud Platform Connections Summary, World Market, Forecast: 2015 to 2020
  8. mHealth Sensor Data Platform Revenues by Region, World Market, Forecast: 2015 to 2020

Figures

  1. mHealth Data Collection Schematic and the Role of the mHealth Sensor Data Platform
  2. Google Fit Data Schematic
  3. Microsoft Health Data Schematic
  4. Samsung mHealth SAMI Data Platform Schematic
  5. Qualcomm Life mHealth Data Schematic