logo image
search icon
Patient-Generated Health Data Market

Patient-Generated Health Data Market Size, Share & Trends Analysis Report By Data Type (Fitness & wellness data, Disease management data, Remote monitoring data, Others), By End User (Hospitals & clinics, Research centers, Healthcare payers, Others), By Region, And By Segment Forecasts, 2024-2031

Report ID : 2319 | Published : 2024-02-26 | Pages: 180 | Format: PDF/EXCEL

Patient-Generated Health Data Market Size is valued at USD 5.9 Bn in 2023 and is predicted to reach USD 21.05 Bn by the year 2031 at a 17.3% CAGR during the forecast period for 2024-2031.

Patient-Generated Health Data Market

Patient-generated health data is collected and measured directly by patients outside traditional clinical settings. This type of data provides vital insights into a patient's health that are unavailable from quick clinical visits alone. There are two forms of patient-generated health data: data collected via tools and equipment and data provided directly by patients. Data collected using tools and devices includes signals from connected gadgets that patients use to track and monitor their health at home. This comprises weight scales, blood pressure cuffs, glucometers, and activity trackers. It also contains tools that allow patients to easily track other health indicators over time, such as symptoms, food, medications, and so on, using mobile apps or web portals.

The market is being driven by an expanding trend of patient empowerment and engagement, in which people actively participate in controlling their health. This has increased demand for tools and technology that allow people to collect and monitor their health data. However, there are significant limitations in the PGHD market. As the collection and sharing of personal health information grow, the significance of data privacy and security is on the rise. It is critical to protect patients' privacy and follow data protection standards. A further obstacle is the interoperability of various devices and platforms. Stakeholders must collaborate to standardize and seamlessly integrate PGHD into existing healthcare systems.

Competitive Landscape

Some Major Key Players In The Patient-Generated Health Data Market:

  • Apple Inc.
  • Fitbit, Inc.
  • Dexcom, Inc.
  • Medtronic plc
  • Omada Health, Inc.
  • Propeller Health
  • AliveCor, Inc.
  • WellDoc, Inc.
  • Noom, Inc.
  • Livongo Health
  • HealthMine, Inc.
  • Epic Systems Corporation
  • Allscripts Healthcare Solutions
  • Cerner Corporation
  • Athenahealth, Inc.

Market Segmentation:

The Patient-Generated health Data Market is segmented on the basis of data type and end-users. Based on data type, the market is segmented as Fitness & wellness data, Disease management data, Remote monitoring data, and Others. By end-user, the market is categorized into Hospitals & clinics, Research centres, Healthcare payers, and Others. 

Based On Data Type, Fitness And Wellness Data Is The Most Popular Segment Of The Market.

Fitness and wellness data are the most prominent segments of the Patient-Generated Health Data (PGHD) market. Many people are interested in measuring their Fitness, physical activity, sleep patterns, and overall health. This area appeals to a diverse spectrum of people who want to take control of their health and make informed lifestyle choices. The growing popularity of wearable devices and mobile apps has increased the demand for Fitness and wellness data. People are actively participating in activities that promote a healthy lifestyle, and tracking their data allows them to stay motivated and meet their fitness goals.

Based On Application, Healthcare Payers Are The Fastest-Expanding Segment Of The Market.

Healthcare payers are projected to be the fastest-expanding segment of the Patient-Generated Health Data (PGHD) market. Healthcare payers, including insurance companies and government healthcare programs, are increasingly realizing the importance of PGHD in improving patient outcomes and lowering costs. They integrate patient-generated health data into their initiatives to encourage preventative care, chronic illness management, and individualized healthcare.

In The Region, The North America Patient Generated Health Data Market Holds A Significant Revenue Share.

North America has been the dominating market for patient-generated health data. The magnitude of the US healthcare business, as well as the presence of key technological players, have been crucial drivers for the region. Furthermore, substantial healthcare spending per capita and a well-established regulatory environment that encourages patient involvement efforts have allowed technology to thrive in collecting health data directly from patients. Moreover, Asia Pacific has emerged as the most rapidly expanding geographic market. Countries such as China, Japan, and India are heavily investing in digital health technologies to suit the changing demands of their rapidly expanding patient populations. Favourable government policies for telehealth and remote patient monitoring are hastening adoption.

Recent Developments:

  • In Oct 2023, Medtronic plc established a strategic alliance with La Poste to enhance patient experiences, utilize data, and utilize artificial intelligence (AI) in healthcare. Both partners aimed to assist healthcare providers in utilizing digital tools to improve patient care across all stages of the care process, in response to increasing patient volumes and overburdened healthcare infrastructures.
  • In August 2021, In June 2021, Apple introduced a new health sharing feature that allows people to share consumer-generated health data with their doctors, family, and friends. Apple has been focusing on increasing patients' access to their data for an extended period of time. In 2018, the firm launched Health Records on iOS, which combined user-generated data from their Health app with data from their Electronic Health Record (EHR) if the user was a patient at a partner hospital.

Patient-Generated Health Data Market Report Scope

Report Attribute

Specifications

Market Size Value In 2023

USD 5.9 Bn

Revenue Forecast In 2031

USD 21.05 Bn

Growth Rate CAGR

CAGR of 17.3% from 2024 to 2031

Quantitative Units

Representation of revenue in US$ Million and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Data Type, End-User

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea

Competitive Landscape

Apple Inc., Fitbit, Inc., Dexcom, Inc., Medtronic plc, Omada Health, Inc., Propeller Health, AliveCor, Inc., WellDoc, Inc., Noom, Inc., Livongo Health, HealthMine, Inc., Epic Systems Corporation, Allscripts Healthcare Solutions, Cerner Corporation and Athenahealth, Inc.

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing And Available Payment Methods

Explore pricing alternatives that are customized to your particular study requirements.

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Patient Generated Health Data Market Snapshot

Chapter 4. Global Patient Generated Health Data Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Investment and Funding Analysis

4.6. Industry Analysis – Porter’s Five Forces Analysis

4.7. Competitive Landscape & Market Share Analysis

4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by Data Type Estimates & Trend Analysis

5.1. by Data Type& Market Share, 2019 & 2031

5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Data Type:

5.2.1. Fitness & wellness data

5.2.2. Disease management data

5.2.3. Remote monitoring data

5.2.4. Others

Chapter 6. Market Segmentation 2: by End-User Estimates & Trend Analysis

6.1. by End-User & Market Share, 2019 & 2031

6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by End-User:

6.2.1. Hospitals & clinics

6.2.2. Research centers

6.2.3. Healthcare payers

6.2.4. Others

Chapter 7. Patient Generated Health Data Market Segmentation 3: Regional Estimates & Trend Analysis

7.1. North America

7.1.1. North America Patient Generated Health Data Market Revenue (US$ Million) Estimates and Forecasts by Data Type, 2019-2031

7.1.2. North America Patient Generated Health Data Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2019-2031

7.1.3. North America Patient Generated Health Data Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031

7.2. Europe

7.2.1. Europe Patient Generated Health Data Market Revenue (US$ Million) Estimates and Forecasts by Data Type, 2019-2031

7.2.2. Europe Patient Generated Health Data Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2019-2031

7.2.3. Europe Patient Generated Health Data Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031

7.3. Asia Pacific

7.3.1. Asia Pacific Patient Generated Health Data Market Revenue (US$ Million) Estimates and Forecasts by Data Type, 2019-2031

7.3.2. Asia Pacific Patient Generated Health Data Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2019-2031

7.3.3. Asia Pacific Patient Generated Health Data Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031

7.4. Latin America

7.4.1. Latin America Patient Generated Health Data Market Revenue (US$ Million) Estimates and Forecasts by Data Type, 2019-2031

7.4.2. Latin America Patient Generated Health Data Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2019-2031

7.4.3. Latin America Patient Generated Health Data Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031

7.5. Middle East & Africa

7.5.1. Middle East & Africa Patient Generated Health Data Market Revenue (US$ Million) Estimates and Forecasts by Data Type, 2019-2031

7.5.2. Middle East & Africa Patient Generated Health Data Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2019-2031

7.5.3. Middle East & Africa Patient Generated Health Data Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031

Chapter 8. Competitive Landscape

8.1. Major Mergers and Acquisitions/Strategic Alliances

8.2. Company Profiles

8.2.1. Apple Inc.

8.2.2. Fitbit, Inc.

8.2.3. Dexcom, Inc.

8.2.4. Medtronic plc

8.2.5. Omada Health, Inc.

8.2.6. Propeller Health

8.2.7. AliveCor, Inc.

8.2.8. Well Doc, Inc.

8.2.9. Nooms, Inc.

8.2.10. Livongo Health

8.2.11. HealthMine, Inc.

8.2.12. Epic Systems Corporation

8.2.13. Allscripts Healthcare Solutions

8.2.14. Cerner Corporation

8.2.15. Athenahealth, Inc.

8.2.16. Others Prominent Players

Segmentation of Patient-Generated Health Data Market-

Patient-Generated Health Data Market By Data Type -

  • Fitness & Wellness Data
  • Disease Management Data
  • Remote Monitoring Data
  • Others

Patient-Generated Health Data Market Seg

Patient-Generated Health Data Market By End User-

  • Hospitals & Clinics
  • Research Centers
  • Healthcare Payers
  • Others

Patient-Generated Health Data Market By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • Southeast Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

user icon
office icon
mail icon
call icon

This website is secure, and we do not share your personal information with any third party. Privacy Policy

Need Customization
Need specific information/chapter from the report of the custom data table, graph or complete report? Tell us more.

Frequently Asked Questions

How big is the Patient-Generated Health Data Market Size?

Patient-Generated Health Data Market is expected to grow at a 17.3% CAGR during the forecast period for 2024-2031.

Livongo Health, HealthMine, Inc., Epic Systems Corporation, Allscripts Healthcare Solutions, Cerner Corporation and Athenahealth, Inc.

Our Clients

  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo
  • client logo

Media Citations

  • media citation logo
  • media citation logo
  • media citation logo
  • media citation logo
  • media citation logo
  • media citation logo
  • media citation logo
  • media citation logo
  • media citation logo

Growth opportunities and latent adjacency in Healthcare IT

Select Licence Type
$4456
$7786
$10000
$1200
Get Your GTM Strategy

Navigate market entry with channel selection, launch strategy & timeline, and pricing model support.

Equip yourself with the insights needed to develop a winning go-to-market strategy

Get real-time updates and joint control over project direction with our collaborative approach