Patient Generated Health Data

Global Patient Generated Health Data Market to Reach US$7.5 Billion by 2030

The global market for Patient Generated Health Data estimated at US$5.2 Billion in the year 2024, is expected to reach US$7.5 Billion by 2030, growing at a CAGR of 6.1% over the analysis period 2024-2030. Fitness & Wellness Data, one of the segments analyzed in the report, is expected to record a 8.0% CAGR and reach US$3.3 Billion by the end of the analysis period. Growth in the Disease Management Data segment is estimated at 4.5% CAGR over the analysis period.

The U.S. Market is Estimated at US$1.4 Billion While China is Forecast to Grow at 10.0% CAGR

The Patient Generated Health Data market in the U.S. is estimated at US$1.4 Billion in the year 2024. China, the world`s second largest economy, is forecast to reach a projected market size of US$1.6 Billion by the year 2030 trailing a CAGR of 10.0% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 2.9% and 6.1% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 4.0% CAGR.

Global Patient Generated Health Data Market - Key Trends & Drivers Summarized

What Is Patient Generated Health Data and Why Is It Valuable in Clinical Decision Making?

Patient generated health data (PGHD) refers to health-related data created, recorded, or gathered by individuals outside traditional clinical settings, often through wearables, mobile apps, or self-reported inputs. This data includes information on symptoms, lifestyle behaviors, biometric readings, treatment adherence, and quality of life metrics. Unlike data captured during hospital visits or lab tests, PGHD provides continuous, real-time insights into a patient’s day-to-day health status.

The use of PGHD is transforming patient monitoring and personalized care delivery, particularly in chronic disease management and preventive health. It fills important gaps between clinical encounters, offering clinicians a more holistic view of patient progress and behavior. As healthcare moves toward outcome-based models, the inclusion of PGHD in care planning is improving responsiveness, early intervention, and patient-provider collaboration.

How Are Devices, Platforms, and Standards Evolving to Support PGHD Collection and Use?

Technological advancements are enhancing the scope, accuracy, and usability of PGHD. Wearable devices now monitor a wide range of parameters including heart rate, glucose levels, sleep patterns, and activity levels with medical-grade precision. Smartphone applications are allowing users to track medication intake, mood, and dietary habits. Voice recognition tools and smart home devices are also contributing to passive data capture in patient-friendly formats.

To make PGHD clinically relevant, platforms are being developed to integrate this data into electronic health records in structured, interpretable formats. Standardized APIs and data governance frameworks are improving data security, interoperability, and consent management. Clinical algorithms and dashboards are being designed to filter, prioritize, and visualize PGHD for physicians, enabling them to respond to meaningful changes without being overwhelmed by raw data.

Where Is PGHD Adoption Expanding and Which Use Cases Are Leading Application?

PGHD adoption is growing across healthcare systems, wellness programs, remote patient monitoring services, and clinical research. North America and Europe are leading in infrastructure readiness and regulatory support for patient-driven data use. Asia-Pacific is catching up rapidly as wearables and health apps become more affordable and accessible to broad segments of the population.

Use cases are expanding across conditions such as diabetes, cardiovascular disease, mental health, oncology, and respiratory illness. Remote patient monitoring programs rely on PGHD to detect early warning signs and reduce hospital admissions. In clinical trials, patient-reported outcomes and real-time biometrics are improving data accuracy and participant retention. Insurance providers are also utilizing PGHD to tailor wellness incentives and assess risk profiles with greater precision.

Growth in the Patient Generated Health Data market is driven by several factors…

Growth in the patient generated health data market is driven by factors such as rising adoption of wearable technologies, increasing focus on personalized medicine, and growing demand for continuous health monitoring. Advances in sensor miniaturization, mobile connectivity, and health tracking algorithms are enabling reliable, user-friendly data collection across varied demographics.

Regulatory frameworks supporting remote care reimbursement and digital health record integration are encouraging healthcare providers to include PGHD in routine care management. Chronic disease monitoring, post-discharge care, and wellness tracking are creating high-utility application areas for PGHD. Enhanced patient awareness and self-management behaviors are further contributing to data richness, making PGHD a key input for population health analytics, risk stratification, and proactive care delivery models.

SCOPE OF STUDY:

The report analyzes the Patient Generated Health Data market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:
Data Type (Fitness & Wellness Data, Disease Management Data, Remote Monitoring Data, Other Data Types); End-Use (Hospitals & Clinics End-Use, Research Centers End-Use, Healthcare Payers End-Use, Other End-Uses)

Geographic Regions/Countries:
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.

Select Competitors (Total 34 Featured) -

• AliveCor Inc.
• Allscripts Healthcare Solutions
• Apple Inc.
• Athenahealth Inc.
• Cerner Corporation
• Dexcom Inc.
• Epic Systems Corporation
• Fitbit Inc.
• HealthMine Inc.
• Livongo Health (now part of Teladoc)
• Medidata Solutions
• Medtronic plc
• Noom Inc.
• Omada Health Inc.
• PatientLikeMe
• Propeller Health
• WellDoc Inc.
• Luscii (Omron)
• Athelas
• Kwido

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