Generative AI In Healthcare Market Size, Share & Trends Analysis Report By Component (Solutions, Service), By Function (Virtual Nursing Assistants, Medical Imaging Analysis), By End Use, By Application (Clinical, System), By Region, And Segment Forecasts,

Generative AI In Healthcare Market Summary

The global generative AI in healthcare market size was estimated at USD 2.17 billion in 2024 and is projected to reach USD 23.56 billion by 2033, at a CAGR of 30.1% from 2025 to 2033. Artificial intelligence (AI) is rapidly reshaping the healthcare landscape, empowering healthcare professionals with comprehensive insights to optimize patient care.

Its analytical prowess, capable of processing immense amounts of data and identifying patterns, proves invaluable in medical decision-making. Generative AI, a subset of AI, stands out for its potential to create new data and solutions, offering promise for innovative approaches to diagnostics, drug discovery, and personalized medicine. Its ability to generate medical images, design drug molecules, and tailor treatments based on individual health data makes it a powerful tool in advancing healthcare outcomes.

Generative AI is emerging as a key driver in healthcare by automating labor-intensive processes, improving clinical efficiency, and reducing physician burnout. One of the most significant applications is ambient documentation, where AI tools capture and structure physician-patient conversations in real time, minimizing administrative workload and enhancing the accuracy of medical records. For instance, in 2024, Kaiser Permanente tested ambient GenAI documentation in a 10-week pilot and, after strong results, expanded it across all eight regions, covering about 600 medical offices and 40 hospitals by 2025.

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In addition, Northwestern Medicine rolled out DAX Copilot in Epic across its enterprise in August 2024, becoming an early mover in the large-scale integration of generative AI into clinical workflows. These deployments highlight a decisive shift from trials to system-wide adoption, signaling growing confidence in generative AI’s ability to streamline healthcare operations and drive the growth of the generative AI in healthcare industry.

Furthermore, the integration of AI-driven documentation tools into leading EHR platforms has been a major catalyst for adoption, as it streamlines physician workflows, minimizes manual data entry, improves documentation accuracy, and reduces burnout, ultimately enabling enterprise-wide deployment of generative AI across health systems. For instance, in 2024, Microsoft (Nuance) and Epic expanded the availability of DAX Copilot, embedding generative AI directly into Epic’s workflows.

More than 150 health systems were named as adopters, including large providers such as Lifespan and UNC Health. Several moved beyond pilots to enterprise deployment, with Northwestern Medicine confirming a full rollout in August 2024. Intermountain Health and Overlake Medical Center also implemented DAX Copilot during the same year. These large-scale deployments demonstrate how embedding generative AI into widely used EHRs accelerates adoption, reduces integration barriers, and reinforces the technology’s potential to drive market growth.

Global Generative AI in Healthcare Market Report Segmentation

This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the generative AI in healthcare market report based on component, function, end use, application, and region:

• Component Outlook (Revenue, USD Million, 2021 - 2033)
• Solutions
• Service
• Function Outlook (Revenue, USD Million, 2021 - 2033)
• Virtual Nursing Assistants
• Robot-Assisted AI Surgery
• Administrative Process Optimization
• Medical Imaging Analysis
• End Use Outlook (Revenue, USD Million, 2021 - 2033)
• Clinical Research
• Medical Centers
• Diagnostic Centers
• Others
• Application Outlook (Revenue, USD Million, 2021 - 2033)
• Clinical
• System
• Regional Outlook (Revenue, USD Million, 2021 - 2033)
• North America
• U.S.
• Canada
• Mexico
• Europe
• Germany
• UK
• France
• Italy
• Spain
• Denmark
• Sweden
• Norway
• Asia Pacific
• China
• Japan
• India
• South Korea
• Australia
• Thailand
• Latin America
• Brazil
• Argentina
• Middle East and Africa
• Saudi Arabia
• UAE
• South Africa
• Kuwait

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