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市場調查報告書

行動醫療的資料管理與整合:Apple、Google、Microsoft、三星的整合醫療的推動

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

出版商 ABI Research 商品編碼 336054
出版日期 內容資訊 英文 27 Pages
商品交期: 最快1-2個工作天內
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行動醫療的資料管理與整合:Apple、Google、Microsoft、三星的整合醫療的推動 mHealth Data Management and Integration: Apple, Google, Microsoft, and Samsung's Push for Integrated Wellness and Healthcare
出版日期: 2015年07月23日 內容資訊: 英文 27 Pages
簡介

近幾年,Apple、Samsung、Google、Microsoft各公司,推出透過穿戴式的行動醫療設備的資料收集、管理、積累的專門新服務。4家公司的目標是收集資料及支援其資料與醫療、健康服務利用之間擴大差距的填補。各公司的關心和投資是因理解到可偵測物理動作的穿戴式無線終端所帶來產生新收益流的新服務。為了增加服務的魅力,也提供各公司致力於已開發國家的醫療問題的方法。

本報告提供行動醫療穿戴式終端的醫療領域的資料收集的市場潛在性的檢驗,及收益結構分析等。

第1章 行動醫療感測器雲端平台的登場

  • Apple、Google、Microsoft、Samsung
  • 行動醫療資料收集定義
    • 穿戴式行動醫療資訊服務
    • 智慧型手機
  • 行動醫療感測器雲端平台定義
  • 行動醫療感測器資料平台定義
  • 醫療的行動醫療感測器資料的案例
    • 醫療效率性的需求擴大
    • 行動醫療資料和醫療的效率性
  • 醫療的行動醫療資料引進的障礙
  • 行動醫療感測器雲端平台所扮演的角色

第2章 Apple、Google、Microsoft、Samsung

  • Apple
    • HealthKit
    • HealthKit的引進
    • HealthKit結構
    • ResearchKit
    • Apple Watch
    • 摘要
  • Goole
    • Google Fit
    • Google Fit的數據結構
    • 支持的運動資料的種類
    • Google Cloud
    • Android Wear和Brillo
    • 摘要
  • Microsoft Health
    • HealthVault
    • Microsoft Health平台
    • Microsoft Band
    • Microsoft Health App
    • 摘要
  • Samsung
    • 醫療中的Samsung
    • SAMI和Samsung的IoT Play
    • SAMI資料平台結構
    • S Health
    • 摘要
  • 第三方的行動醫療感測器雲端平台
  • Validic
  • Ginger.io
  • Qualcomm Health
  • Under Armour

第3章 行動醫療資料連接的成長與潛在性

  • 行動醫療終端的出貨量
  • 第三方的行動醫療感測器資料的平台
  • 智慧型手機用OS的影響
  • 行動醫療資料平台的連接性
  • 行動醫療感測器資料的收益
  • 摘要
目錄
Product Code: AN-1642

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
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