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市場調査レポート

デジタルヘルスの世界市場

Worldwide Digital Health

発行 Juniper Research 商品コード 276665
出版日 ページ情報 英文
納期: 即日から翌営業日
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デジタルヘルスの世界市場 Worldwide Digital Health
出版日: 2016年02月16日 ページ情報: 英文
概要

当レポートは、デジタルヘルス市場について取り上げ、エンドツーエンドのサービスデリバリーに注目したデジタルヘルスエコシステムの詳細評価、バリューチェーンにわたる市場企業へのインタビュー、主な産業動向の戦略的評価、およびユーザー・サービス収益の規模・成長率の予測などをまとめ、お届けいたします。

市場動向 & 競合情勢

第1章 デジタルヘルス市場情勢

  • イントロダクション
  • ヘルスケアの動向、促進因子 & 抑制因子

第2章 ヘルスケア産業のデジタル化

  • 技術の多様性

第3章 新興市場におけるデジタルヘルス

  • 新興市場の状況

第4章 デジタルヘルス企業のプロファイル & ポジショニング

  • イントロダクション
  • ベンダー評価
  • 有力企業
  • 企業プロファイル
    • AirStrip
    • CirrusMD
    • Conversa Health
    • Epocrates
    • eCIinicalWorks
    • IBM
    • iHealth Labs
    • LMD (Leman Micro Devices)
    • Qualcomm Life
    • Valencell
    • Validic
    • Withings

市場規模 & 予測

第1章 デジタルヘルスケアのイントロダクション

  • イントロダクション
  • 市場における主要ステークホルダー
  • 医療の問題

第2章 デジタルヘルス市場のサマリー

  • 遠隔でモニターされている個人の数
  • モニター対象個人の総収益

第3章 EHR (電子医療記録)

  • イントロダクション
  • EHRの予測

第4章 遠隔患者モニタリング

  • イントロダクション
  • 心臓の遠隔モニタリング予測
  • 慢性疾患の遠隔モニタリング予測

第5章 クラウド投資

  • イントロダクション

第6章 mヘルス情報サービス

  • イントロダクション

第7章 mヘルスアクセサリー

  • イントロダクション
  • mヘルス装置の予測
  • mヘルス収益の予測

このページに掲載されている内容は最新版と異なる場合があります。詳細はお問い合わせください。

目次

Overview

In an environment that is rapidly transitioning to a patient-centric model, developing new business strategies for healthcare provisioning is a critical objective for stakeholders.

Juniper's latest research into the Digital Health ecosystem combines in-depth analysis of the various market elements with key market forecasts, providing clients with an authoritative assessment of cost-saving technologies and services such as EHRs, remote patient monitoring and mHealth information services.

This research suite includes:

  • Market Trends & Competitive Landscape (PDF)
  • 5 Year Market Sizing & Forecast (PDF & Excel)

Key Features

  • In-depth evaluation of the Digital Health ecosystem with a focus on the end-to-end delivery of services.
  • Interviews with leading players across the value chain, including IBM, AirStrip, CirrusMD and iHealth.
  • Strategic assessment of key industry trends including the state of emerging healthcare markets and how adoption of technology can aid the issues they face.
  • Key player capability and capacity assessment, together with vendor market positioning matrix.
  • New forecasts for mHealth Information Services and Cloud Adoption within the Health sector.
  • Benchmark industry forecasts for size and growth of the users and service revenue.

Key Questions

  • 1. Which sectors of the digital healthcare market will prove to be key over the next 5 years?
  • 2. What business models and strategic partnerships will be successful?
  • 3. How will the introduction of EHRs benefit the healthcare industry?
  • 4. What will the personal health industry be worth in the next 5 years?
  • 5. How will mHealth impact developing markets?

Companies Referenced

Interviewed: AirStrip, CirrusMD, IBM, iHealth, LMD (Leman Micro Devices), Validic.

Profiled: AirStrip, CirrusMD, Conversa Health, eClinicalWorks, Epocrates, IBM, iHealth, LMD (Leman Micro Devices), Qualcomm, Valencell, Validic, Withings.

Case Studied: CirrusMD, Dokita, eClinicalWorks, Grameen Foundation, IBM, iHealth, Next Galaxy, Unicef, Validic.

Mentioned: Accenture, ACHE, AD&D Medical, Adwemo, AHME (African Health Markets for Equity), American Osteopathic Association, American Psychiatric Association, American Well, Amgen, Andon Health Group, Anthem, Apple, At&T, Athenahealth, Austin Regional Clinic, Beddit, Big Brothers Big Sisters, BlackBerry, Body Media, Booz Allen Hamilton, Bossa Studios, California Medical Association, Cerner, Citi, CliniComp, Deloitte, Digifit, Dignity Health, Diversinet, Epic Systems, Exertis, FitBit, Garmin, GE, GenieMD, Goldman Sachs, Google, Gymtechnik, Health Data Display, higi, HIMSS, Hybrid Clinical Transformation, IDAvatars, Illinois State Medical Society, ImplementHIT, IMS Maxim, Intel, InterSystems, Invision Heart, Jabra, Jawbone, Kaiser Permanente, LG, MedHelp, MedicalRealities, Medidata, Meditech, Merge Healthcare, mHealth Alert, Microsoft, Moberg, Mobile Heartbeat, Modality, Modernizing Medicine, Motorola, Nike, Nintendo, Novo Nordisk, Obix, Oculus, Omron, Palomar Health, Pathway Genomic OME, Pedal the Cause, Pennsylvania Medical Society, Persistent Systems, Physio Control, Preventice, ProfitLine, Q Advisors, Qardio, Reflexion Health, Rocky Mountain Health Plans, Run GPS, Samsung, Sotera Wireless, St Joseph Health, Strava, Swisscom, Tangoe, Texan Medical Association, The Vitality Group, Under Armour, Valencell, VisioMed, WebMD, Wellpepper, WLSA, Xiaomi, Ximed, Zephyr.

Data & Interactive Forecast

Juniper's Digital Health forecast suite includes:

  • Regional data splits for 8 key regions as well as country level splits for:
    • US
    • Canada
    • UK
    • Germany
    • Sweden
    • India
    • Bangladesh
    • Indonesia
    • Kenya
    • Tanzania
    • South Africa
  • Remote patient monitoring, split by:
    • Chronic illness management
    • Cardiac outpatients
  • EHR Implementation & Ongoing Administration Costs, and Net Cost Savings
  • Cloud Adoption in Healthcare & Associated Service Revenue
  • mHealth Information Service Adoption & Service Revenue
  • mHealth Accessories Adoption and Forecast Revenues Split by 5 countries:
    • US
    • Canada
    • Germany
    • Sweden
    • UK
  • Interactive Excel Scenario tool allowing user the ability to manipulate Juniper's data for 10 different metrics.
  • Access to the full set of forecast data of 56 tables and over 7,300 data points.

Juniper Research's highly granular interactive Excels enable clients to manipulate Juniper's forecast data and charts to test their own assumptions using the Interactive Scenario Tool; and compare select markets side by side in customised charts and tables. IFxls greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.

Table of Contents

Market Trends & Competitive Landscape

1. Digital Health Market Landscape

  • 1.1. Introduction
    • 1.1.1. The Health Problems
      • Table 1.1: Healthcare Problems & Digital Solutions
    • 1.1.2. Key Stakeholders in the Market
      • i. Healthcare Providers
      • ii. Patients
      • iii. Hardware Manufacturers
  • 1.2 Healthcare Trends, Drivers & Constraints
    • Figure 1.2: Digital Healthcare Industry - Trends, Drivers & Constraints
    • 1.2.1. Trends in the Healthcare Industry
    • 1.2.2. Drivers for Adoption
    • 1.2.3. Constraints on the Market
    • 1.2.4. Conclusions

2. Digitising the Healthcare Industry

  • 2.1. Variety of Technologies
    • Figure 2.1:Juniper Digital Health Industry Components
    • Figure 2.2: Juniper Digital Healthcare Ecosystem
    • 2.1.1. Wearables, Biosensing & Digital Medical Devices
      • i. Case Study: iHealth
    • 2.1.2. Remote Patient Monitoring
      • Figure 2.3: Vital Snap by Validic
      • i. Case Study: Validic's VitalSnap
    • 2.1.3. EHRs (Electronic Health Records)
      • Figure 2.4: eCIinicalWorks Screenshot
      • i. Case Study: eCIinicalWorks
      • ii. Benefits & Barriers of EHRs
        • Figure 2.5: Barriers to EHR Adoption
    • 2.1.4. mHealth Applications
      • Table 2.6: Apple Health vs Google Fit
    • 2.1.5. Telehealth
      • i. Case Study: CirrusMD
    • 2.1.6. Further Cost Saving Strategies
      • 2.1.7 Effects of Big Data
        • ii. Case Study: IBM Watson

3. Digital Health in Emerging Markets

  • 3.1. The State of the Emerging Market
    • 3.1.1. Issues Facing Emerging Markets
      • Table 3.1: Issues Facing Emerging Markets
    • 3.1.2. mHealth in Emerging Markets
      • i. Case Study: Dokita
    • 3.1.3. Limitations in Emerging Markets
    • 3.1.4. Big Data in Emerging Markets
      • i. Case Study: Wearables for Good
      • ii. Case Study: AHME
    • 3.1.5. Technology Improving Healthcare Training
      • i. VR (Virtual Reality)
      • ii. Telehealth
      • iii. Case Study: Next Galaxy
    • 3.1.6. Juniper Research's Recommendations

4. Digital Health Player Profiles & Positioning

  • 4.1. Introduction
  • 4.2. Vendor Assessment
    • 4.2.1. Vendor Assessment Methodology
      • Table .4.1: Player Capability Criteria
    • 4.2.2. Limitations & Interpretations
  • 4.3. Movers & Shakers
  • 4.4. Player Profiles
    • 4.4.1. AirStrip
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper View: Key Strengths & Development Opportunities
    • 4.4.2. CirrusMD
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper View: Key Strengths & Development Opportunities
    • 4.4.3. Conversa Health
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper View: Key Strengths & Development Opportunities.
    • 4.4.4. Epocrates
      • i. Corporate Profile
        • Table 4.5: Athenahealth Financial Snapshot
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnership
      • iv. High Level View of Offerings
      • v. Juniper View: Key Strengths & Development Opportunities.,
    • 4.4.5. eCIinicalWorks
      • i. Corporate Profile
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level of View of Offerings
      • v. Juniper View: Key Strengths & Development Opportunities.,
    • 4.4.6. IBM
      • i. Corporate
        • Figure 4.6: IBM Financial Snapshot
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper View: Key Strengths & Development Opportunities.,
    • 4.4.7. iHealth Labs
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients and Strategic Partnerships
      • iv. Service 0fiering & Business Model
        • Figure 4.7: iHealth Data Ecosystem
      • v. Juniper View: Key Strengths & Strategic Development 0ppor
    • 4.4.8. LMD (Leman Micro Devices)
      • i. Corporate Profile
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of 0fierings
        • Figure 4.8: The Leman Mobile Digital Ecosystem
      • v. Juniper View: Key Strengths & Weaknesses
    • 4.4.9. Qualcomm Life
      • i. Corporate
        • Table 4.9: Qualcomm Financial Snapshot 2013-2015
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
        • Figure 4.10: The Qualcomm Life Service Delivery Platform
      • v. Juniper View: Key Strengths & Development Opportunities
    • 4.4.10. Valencell
      • i. Corporate Profile
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Service Offering & Business Model
      • v. Juniper's View: Key Strengths & Strategic Development 0pp
    • 4.4.11. Validic
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper View: Key Strengths & Development Opportunities
    • 4.4.12. Withings
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients and Strategic Partnerships
      • iv. Service Offering & Business Model
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities

2. Market Sizing & Forecasts

1. Introduction to Digital Healthcare

  • 1.1. Introduction
  • 1.2. Key Stakeholders in the Market
    • 1.2.1. Healthcare Providers
    • 1.2.2. Patients
    • 1.2.3. Hardware Manufacturers
  • 1.3. The Health Problems
    • Table 1.1: Healthcare Problems & Digital Solutions

2. Summary of the Digital Health Market

  • 2.1.1. Total Number of Individuals Remotely Monitored (m)
    • Figure & Table 2.1: Total Number of Individuals Remotely Monitored ($m) Split by 8 Key Regions 2015-2020
  • 2.1.2. Total Revenue from All Monitored Individuals
    • Figure & Table 2.2: Total Revenue from All Monitored Individuals ($m) Split by 8 Key Regions 2015-2020

3. EHRs (Electronic Health Records)

  • 3.1. Introduction
    • 3.1.1. Forecast Methodology
      • Figure 3.1: Digital Electronic Health Records Forecast Methodology
  • 3.2. EHR Forecasts
    • 3.2.1. Number of Individuals with EHRs
      • Figure & Table 3.2: Number of Individuals with EHRs (m) Split by 8 Key Regions 2015-2020
    • 3.2.2 Gross Total Theoretical Annual Cost Savings
      • Figure & Table 3.3: Gross Total Theoretical Annual Cost Savings ($m) Split by 8 Key Regions 2015-2020
    • 3.2.3. Total Implementation & Ongoing Admin Costs
      • Figure & Table 3.4: Total Implementation & Ongoing Admin Costs ($m) Split by 8 Key Regions 2015-2020
    • 3.2.4. Net Cost Savings Achievable through HER Implement
      • Figure & Table 3.5: Net Cost Savings Achievable through HER Implement ($m) Split by 8 Key Regions 2015-2020

4. Remote Patient Monitoring

  • 4.1. Introduction
    • 4.1.1. Forecast Methodology
    • Figure 4.1: Cardiac Outpatient Monitoring Forecast Methodology
    • Figure 4.2: Chronic Disease Outpatient Monitoring Forecast Methodology
  • 4.2. Cardiac Remote Monitoring Forecasts
    • 4.2.1. Number of Individuals Adopting Remote Cardiac Patient Monitoring
      • Figure & Table 4.3: Number of Individuals Adopting Remote Cardiac Patient Monitoring (m) Split by 8 Key Regions 2015-2020
    • 4.2.2. Service Revenue from Remote Cardiac Outpatient Monitoring
      • Figure & Table 4.4: Service Revenue from Remote Cardiac Outpatient ($m) Split by 8 Key Regions 2015-2020
  • 4.3. Chronic Disease Remote Monitoring Forecasts
    • 4.3.1. Number of Individuals Adopting Remote Patient Monitoring
      • Figure & Table 4.5: Number of Individuals Adopting Remote Patient Monitoring (m) Split by 8 Key Regions 2015-2020
    • 4.3.2. Service Revenue from Remote Patient Monitoring for Disease Outpatients
      • Figure & Table 4.6: Service Revenue from Remote Patient Monitoring Disease Outpatients ($m) Split by 8 Key Regions 2015-2020

5. Cloud Investment

  • 5.1. Introduction
    • 5.1.1. The Limitations of Big Data
      • Figure 5.1: Healthcare Cloud Forecasts Methodology
    • 5.1.2. Number of Physicians Using Cloud Services
      • Figure & Table 5.2: Number of Physicians Using Cloud Services (‘000) Split by 8 Key Regions 2015-2020
    • 5.1.3. Total Revenue from Cloud Services
      • Figure & Table 5.3: Total Revenue from Cloud Services ($m) Split by 8 Key Regions 2015-2020

6. mHealth Information Services

  • 6.1. Introduction
    • 6.1.1. Forecast Methodology
      • Figure 6.1:mHealth Information Services Forecast Methodology
    • 6.1.2. Number of People Using mHealth Information Service
      • Figure & Table 6.2: Number of People Using mHealth Information Services ($m) Split by 8 Key Regions 2015-2020
    • 6.1.3. Number of People Paying for mHealth Information Services
      • Figure & Table 6.3: Number of People Paying for mHealth Information (m) Split by 8 Key Regions 2015-2020
    • 6.1.4. Total Revenue from mHealth Information Services
      • Figure & Table 6.4: Total Revenue from mHealth Information Services ($m) Split by 8 Key Regions 2015-2020

7. mHealth Accessories

  • 7.1. Introduction
    • 7.1.1. Methodology
      • Figure 7.1:mHealth Hardware Device Forecast Methodology
  • 7.2. mHealth Device Forecasts
    • 7.2.1. Total Number of mHealth Hardware Devices in Services
      • Figure & Table 7.2: Total Number of mHealth Hardware Devices in Service (m) Split by 8 Key Regions 2015-2020
    • 7.2.2. Number of mHealth Hardware Devices that Generate Subscription Revenue
      • Figure & Table 7.3: Number ofmHealth Hardware Devices that Generate Subscription Revenue (m) Split by 8 Key Regions 2015-2020
  • 7.3. mHealth Revenue Forecasts
    • 7.3.1. Service Revenue from mHealth Hardware Devices
      • Figure & Table 7.4: Service Revenue from mHealth Hardware Devices ($m) Split by 8 Key Regions 2015-2020
    • 7.3.2. Value of mHealth Hardware Device Sales
      • Figure & Table 7.5: Value of mHealth Hardware Device Sales ($m) Split by 8 Key Regions 2015-2020
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