Abstract
Overview
- 15 mHealth Players Profiled
- 37 Exclusive Forecast Tables
- Updated mHealth Revenue Assessment
A Comprehensive Analysis of the mHealth Opportunity
This new, extrapolative report is an indispensable guide to getting in on the
ground floor of this high growth sector. Juniper offers readers a meticulous
breakdown of the prospective revenues and initial costs involved in forging a
sustainable and lucrative mHealth market for mobile network operators,
suppliers, healthcare professionals and module & device manufacturers.
Extensive Market Sizing & Forecast Data
mHealth Market Data: Only Juniper approaches the potential market of this
burgeoning sector with two extensive forecast chapters, based on cardiac
outpatient monitoring, chronic disease management, service revenues and
smartphone shipments, as well as medical app downloads and content
subscriptions.
Scenario Based Analysis: Customers will receive unparalleled coverage of
mHealth cost savings projections, founded on three comprehensive scenarios,
progressing from conservative to optimistic. In addition, the future reduction
of outpatient-related costs made possible by the implementation of remote
patient monitoring is calculated over a five year period.
mHealth Player Strategies
Business Models & Monetisation Strategies: Juniper Research delivers a
multitude of business models of major industry players, which demonstrate for
readers the monetisation potential behind companies, regulatory bodies and
financiers involved in mobile health.
Player Profiles: More than a dozen businesses central to mHealth are
profiled and appraised by partnerships, individual strengths and strategic
development opportunities, giving readers a unique advantage in the current
mHealth market and an insider's knowledge of how a place in the future mHealth
may be adroitly claimed.
Extra Info
Aberdare Ventures, Accel Partners, Ameba, Android, Apple, Asop Louie Partners
AT&T, BainCapital Ventures, Bosch Healthcare, Cambridge Temperature Concepts,
CardioNet, Chrysalis Ventures, ConnectedHealth, Continua Health Alliance,
Corventis, Doro, Dossia, ecardio, Entra Health Systems, EpiSurveyor,
Epocrates, Ericsson, France Telecom, Getjar, Google, Gre, Greylock Partners,
Healthragious, Johnson & Johnson, Kaiser Permanente, Kore Telematics,
LifeScan, LifeWatch, MedApps, mHealth Alliance, Microsoft, Microsoft
HealthVault, Mixi, Mobage, Mobisante, Mohr Davidow, Morganthaler Ventures,
Nokia, O2, Orange, Physic Ventures, Qualcomm, Research In Motion, SIMpill,
Telcare, Telecom Italia, Telefonica Group, Telenor, Tencen, Tolven, Venrock,
Founders Fund, Vodafone, Voxiva, WellDoc, World Health Organisation, ZigBee
Table of Contents
Executive Summary
mHealth Market Structure
- 1.1 Introduction
- 1.2 Report Scope
- 1.3 The Healthcare Industry
- 1.3.1 Population Growth
- Figure 1.1 Annual Population Growth by Region (%)
- 1.3.2 Chronic Diseases
- i. Heart Disease
- ii. Respiratory Diseases
- iii. Diabetes
- 1.3.3 Healthcare Funding
- Table 1.1: Health Spending
- 1.4 The mHealth Promise
- 1.4.1 Developing World
- i. Case Study: Simpill
- 1.4.2 Developed World
- 1.5 mHealth Definitions
- Figure 1.2: The Structure of the mHealth Industry
- 1.5.1 Basic mHealth Services
- 1.5.2 SMS Information Programs
- 1.5.3 Remote Patient Monitoring
- 1.5.4 Information Systems and Health Records
- i. Case Study Brief: Google Health
- 1.5.5 The mHealth Smartphone App
- 1.5.6 Remote Diagnosis
- 1.5.7 Combining Technologies
- Figure1.3: The Mobile App's Role in Remote Patient Monitoring
- 1.6 Drivers and Inhibitors
- Figure 1.4: mHealth Drivers and Inhibitors
- 1.6.1 Healthcare Drivers
- 1.6.2 Technology Drivers
- 1.6.3 Inhibitors
- 1.7 Future Directions
- 1.7.1 The Impact of Regulation
- i. Case Study: Continua Health Alliance
- ii. Healthcare Gaming
- 1.8 The Smartphone in Healthcare
- 1.8.1 Healthcare Industry Smartphone Penetration
- Figure 1.5: Smartphone use Within the Healthcare Sector Methodology
- Figure1.6: Enterprise Smartphones (m) shipped to the Healthcare Sector
Split by 8 Key Regions 2011-2016
- Table 1.2: Enterprise Smartphones (m) shipped to the Healthcare Sector
Split by 8 Key Regions 2011-2016
- 1.8.2 Shipment Values: Healthcare Sector Smartphone
- Figure 1.7: Cost of Wholesale Smartphone Shipments to the Healthcare
Sector ($m) Split by 8 Key Regions 2011-2016
- Table 1.3: Value of Wholesale Smartphone Shipments to the Healthcare
Sector ($m) Split by 8 Key Regions 2011-2016
- 1.9 Conclusion
mHealth - Players & Business Models 2.1 Introduction
- 2.2 Recent Developments
- 2.2.1 Epocrates Listing on Nazdaq
- 2.2.2 US FDA Consults on Medical App Regulation
- 2.2.3 AT&T Selects WellDoc Mobile Health Solution for Management of
Chronic Diseases
- 2.2.4 Partnership for the Heart Validates Remote Patient Monitoring
- 2.2.5 Remote Patient Monitoring: CardioNet and Meddapps form Strategic
Alliance
- 2.2.6 AT&T Reinforces Commitment to the Healthcare Sector
- 2.2.7 Nokia Partners with Entra Health Systems
- 2.3 mHealth Stakeholders
- 2.3.1 Chipset and Module Manufacturers
- i. Case Study Brief: Qualcomm
- ii. Telcare
- iii. Cambridge Temperature Concepts
- iv. Mobile Health Information Systems
- 2.3.2 Network Operators
- 2.3.3 Handset and App Developers/ Manufacturers
- 2.3.4 Case Study Brief: Nokia
- 2.3.5 Case Study Brief: Doro
- i. MyGlucoHealth
- ii. Medixine
- 2.3.6 The Smartphone App
- 2.3.7 Venture Capitalists
- Table 2.1 Digital Health Deals (Q1&Q2) 2011
- 2.4 Player Profiles
- 2.4.1 Bosch Healthcare
- i. Corporate 56
- ii. Service Offering and Business Model
- Structure of Bosch Healthcare Monitoring System
- iii. Partnerships and Adoption
- iv. Juniper's View: Bosch Healthcare Key Strengths and Strategic
Development Opportunities
- 2.4.2 CardioNet
- i. Corporate
- ii. Service Offering and Business Model
- iii. Partnerships and Adoption
- iv. Juniper's View: CardioNet Key Strengths and Strategic Development
Opportunities
- 2.4.3 Epocrates
- i. Corporate
- ii. Service Offering and Business Model
- iii. Partnerships and Adoption
- iv. Juniper's View: Epocrates Key Strengths and Strategic Development
Opportunities
- 2.4.4 Healthragious
- i. Corporate
- ii. Service Offering and Business Model
- iii. Partnerships and Adoption
- iv. Juniper's View: Healthragious Key Strengths and Strategic Development
Opportunities
- 2.4.5 LifeWatch
- i. Corporate
- ii. Service Offering and Business Model
- iii. Partnerships and Adoption
- iv. Juniper's View: LifeWatch Key Strengths and Strategic Development
Opportunities
- 2.4.6 MedApps
- i. Corporate
- ii. Service Offering and Business Model
- iii. Partnerships and Adoption
- iv. Juniper's View: MedApps Key Strengths and Strategic Development
Opportunities
- 2.4.7 Mobisante
- i. Corporate
- ii. Service Offering and Business Model
- iii. Partnerships and Adoption
- iv. Juniper's View: Mobisante Key Strengths and Strategic Development
Opportunities
- 2.4.8 Telecom Italia MDH
- i. Corporate
- ii. Service Offering and Business Model
- iii. Partnerships and Adoption
- iv. Juniper's View: Telecom Italia's Key Strengths and Strategic
Development Opportunities
- 2.4.9 WellDoc
- i. Corporate
- ii. Service Offering and Business Model
- iii. Partnerships and Adoption
- iv. Juniper's View: WellDoc Key Strengths and Strategic Development
Opportunities
- 2.5 Conclusion
- Figure 2.1: mHealth Use Case Value Matrix
Remote Patient Monitoring for Healthcare
- 3.1 Introduction
- 3.2 Monitoring Use Cases
- Figure 3.1: The Remote Patient Monitoring Value Chain
- 3.2.1 Cardiac Outpatient Monitoring
- i. Case Study: CardioNet, Cardiac Outpatient Monitoring Service
- 3.2.2 Remote Patient Monitoring for Chronic Diseases
- 3.2.3 Case Study: ConnectedHealth
- i. Company
- ii. Business Case
- iii. Pricing
- 3.3 Remote Patient Monitoring Forecasts
- 3.3.1 Market-Sizing and Methodology
- 3.4 Cardiac Outpatient Monitoring Forecasts
- 3.4.1 Methodology
- Figure 3.2: Remote Monitoring Methodology, Cardiac Outpatient Monitoring
- Figure 3.3: Number of Monitored Individuals, Cardiac Outpatient
Monitoring (m) Split by 8 Key Regions 2011-2016
- Table 3.1: Number of Monitored Individuals Cardiac Outpatient Monitoring
(m) Split by 8 Key Regions 2011-2016
- 3.4.2 Revenue Forecasts, Cardiac Outpatient Monitoring
- Figure 3.4: Revenues from Cardiac Outpatient Monitoring ($m) Split by 8
Key Regions 2011-2016
- Table 3.2: Revenues from Cardiac Outpatient Monitoring ($m) Split by 8
Key Regions 2011-2016
- 3.5 Remote Patient Monitoring, Chronic Disease Management
- 3.5.1 Forecast Methodology
- Figure 3.5 Remote Monitoring Methodology Chronic
- isease Management
- Figure 3.6: Number of Monitored Individuals, Chronic Disease Management
(m) Split by 8 Key Regions 2011-2016
- Table 3.3: Number of Monitored Individuals Chronic Disease Management
(m) Split by 8 Key Regions 2011-2016
- 3.5.2 Revenues Forecasts, Chronic Disease Management
- Figure 3.7: Revenues from Remote Patient Monitoring, Chronic Disease
Management ($m) Split by 8 Key Regions 2011-2016
- Table 3.4: Revenues from Remote Patient Monitoring, Chronic Diseases
($m) Split by 8 Key Regions 2011-2016
- 3.6 Remote Health Monitoring Forecasts All Use Cases
- Figure 3.8: Number of Monitored Individuals (m) Split by 8 Key Regions
2011-2016
- Table 3.5: Number of Monitored Individuals (m) Split by 8 Key Regions
2011-2016
- 3.6.1 Service Revenues from Remote Health Monitoring all Use Cases
- Figure 3.9: Service Revenues from Health Monitoring ($m) Split by 8 Key
Regions 2011-2016
- Table 3.6: Revenues from Remote Patient Monitoring ($m) Split by 8 Key
Regions 2011-2016
- 3.7 Health Cost Savings Attributable to Remote Patient Monitoring
- 3.7.1 Cost Savings Methodology
- Table 3.7: Cost to the Health Service of a HospitalStay ($) Split by 8
Key Regions 2011-2016
- Table 3.8: Cost to the Health Service of a Single Outpatient Visit ($)
Split by 8 Key Regions 2011-2016
- Figure 3.10: Cost savings methodology
- Table 3.9: Monitoring Cost per Individual ($) Split by 8 Key Regions
2011-2016
3.7.2 Scenario-based Cost Savings Forecasts
i. Scenario 1 (Conservative)
- Figure 3.11: Savings Attributable to mHealth Monitoring (Scenario 1,
Conservative) ($m) Split by 8 Key Regions 2011-2016
- Table 3.10: Savings Attributable to mHealth Monitoring (Scenario 1,
Conservative) ($m) Split by 8 Key Regions 2011-2016
ii. Scenario 2 (Base Scenario)
- Figure 3.12: Savings Attributable to mHealth Monitoring (Base Scenario)
($m) Split by 8 Key Regions 2011-2016
- Table 3.11: Savings Attributable to mHealth Monitoring (Base Scenario)
($m) Split by 8 Key Regions 2011-2016
- iii. Scenario 3 (Optimistic)
- Figure 3.13: Savings attributable to mHealth Monitoring (Scenario 3,
Optimistic) ($m) Split by 8 Key Regions 2011-2016
- Table 3.12: Savings Attributable to mHealth Monitoring (Scenario 3,
Optimistic) ($m) Split by 8 Key Regions 2011-2016
- 3.8 Conclusion
Mobile Health and the Smartphone App
- 4.1 Introduction
- 4.2 Definitions and Current Status
- 4.2.1 mHealth Apps - Popularity and Adoption
- 4.2.2 FDA Approval of Medical Apps
- 4.2.3 Market Development
- 4.3 Mobile Applications Forecasts
- 4.3.1 Forecast Methodology
- Figure 4.1: Methodology. Healthcare and Medical Smartphone App Dowloads
- Figure 4.2: Number of Handsets (m) Downloading Lifestyle Apps Regional
Forecasts Split by 8 Key Regions 2011-2016
- Table 4.1: Number of Handsets (m) Downloading Lifestyle Apps Regional
Forecasts Split by 8 Key Regions 2011-2016
- Figure 4.3: Number of Handsets (m) Downloading Healthcare and Medical
Apps Regional Forecasts Split by 8 Key Regions 2011-2016
- Table 4.2: Number of Handsets (m) Downloading Healthcare and Medical
Apps Regional Forecasts Split by 8 Key Regions 2011-2016
- 4.3.2 All Healthcare Medical App Downloads
- Table 4.3: Number of Healthcare and Medical Apps Downloaded per Handset
Regional Forecasts Split by 8 Key Regions 2011-2016
- Figure 4.4: All Medical App Downloads Split by 8 Key Regions 2011-2016
- Table 4.4: All Healthcare and Medical App Downloads Split by 8 Key
Regions 2011-2016
- 4.3.3 Revenues from Healthcare and Medical Downloads
- Table 4.5: Price of Healthcare and Medical App Download Split by 8 Key
Regions 2011-2016
- Figure 4.5: Revenues ($m) from Healthcare and Medical App Downloads
Split by 8 Key Regions 2011-2016
- Table 4.6: Revenues ($m) from Healthcare and Medical App Downloads
Split by 8 Key Regions 2011-2016
- 4.4 Content Subscription Forecasts
- Figure 4.6: Methodology for Subscription Revenue Forecasts, Healthcare
and Medical
- Figure 4.7: Total number of Content Subscriptions, Healthcare and
Medical (m) Split by 8 Key Regions 2011-2016
- Table 4.7: Total Number of Content subscriptions, Healthcare and Medical
(m) Split by 8 Key Regions 2011-2016
- Figure 4.8: Revenues from Content Subscriptions Split by 8 Key Regions
2011-2016
- Table 4.8: Total Revenues from Healthcare and Medical Content
Subscriptions Split by 8 Key Regions 2011-2016
- 4.4.1 Combined Download and Content Subscriptions Forecasts
- Figure 4.9: Total Revenues from Healthcare and Medical Apps Split by 8
Key Regions 2011-2016
- Table 4.9: Total Revenues from Healthcare and Medical Apps Split by 8
Key Regions 2011-2016
- 4.5 Tablet App Forecasts
- Figure 4.10: Tablet App Methodology
- 4.5.1 All Healthcare and Medical App Downloads, Tablets
- Figure 4.11: Medical App Downloads (Tablets) Split by 8 Key Regions
2011-2016
- Table 4.10: Medical App Downloads (Tablets) Split by 8 Key Regions
2011-2016
- Figure 4.12: Revenues (m) from Healthcare and Medical App Downloads
(Tablets) Split by 8 Key Regions 2011-2016
- Table 4.11: Revenues (m) from Healthcare and Medical App Downloads &
Content Subscriptions (Tablets) Split by 8 Key Regions 2011-2016
- 4.6 Conclusion
