Generative AI in Healthcare Market Projected to Witness Massive Growth, Surging to USD 30.68 Billion by 2033 | DataM Intelligence

Market Size and Growth:

The Global Generative AI in Healthcare Market Size reached US$ 2.92 Billion in 2024 and is expected to reach US$ 30.68 Billion by 2033, growing at a CAGR of 35.1% during the forecast period 2025-2033.

The Generative AI in Healthcare Market report by DataM Intelligence provides insights into the latest trends and developments in the market. This report identifies the key growth opportunities in the market and provides recommendations for market participants to capitalize on these opportunities. Overall, the Generative AI in Healthcare market report is an essential resource for market participants who are looking to gain a comprehensive understanding of the market and identify opportunities for growth.

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The Generative AI in Healthcare Market refers to the application of advanced AI models that create new data, insights, and solutions to enhance medical research, diagnostics, drug discovery, treatment planning, and patient care. It enables personalized healthcare, accelerates innovation, improves clinical outcomes, and reduces costs, making it a transformative technology across the global healthcare ecosystem.

Key Developments of USA and Japan:

USA:

Investment and Partnerships: There's a strong trend of strategic partnerships between healthcare providers and technology companies. Organizations are increasingly looking to third-party vendors and hyperscalers (like Amazon Web Services) to develop customized generative AI solutions, rather than building them in-house. A notable example is GE HealthCare's partnership with AWS to create new generative AI applications for medical diagnostics.

Operational Efficiency: U.S. healthcare organizations are actively implementing generative AI to improve administrative and clinical productivity. For instance, Cedars-Sinai is testing the Aiva Nurse Assistant, an AI mobile app to reduce the administrative burden on nurses (February 2025). Another key development is the wider adoption of ambient listening technology, which uses AI to listen to and summarize patient-provider conversations in real-time to auto-generate clinical notes and other documentation.

Japan:

Drug Discovery and Clinical Trials: The Japanese market is seeing a rise in collaborations to leverage generative AI for drug development. SoftBank Corp., SB Intuitions Corp., and Chugai Pharmaceutical Co., Ltd. signed a memorandum of understanding (January 30, 2025) to research using generative AI in clinical development, aiming to create AI agents and a large language model specifically for the pharmaceutical sector to accelerate new drug development.

Medical Imaging and Diagnostics: Japan's generative AI market is seeing advancements in its use for medical imaging. Companies like LPixel and Fujifilm Corporation are using AI to analyze medical images (X-rays, CT scans, and MRIs) to improve the accuracy and speed of diagnostics, which is especially critical for early disease detection like cancer. The use of generative AI to create synthetic data is also helping to train AI models for enhanced diagnostic tools.

Key Players:

IBM
Google LLC
Microsoft
OpenAI
NVIDIA Corporation
Oracle
Johnson & Johnson Services, Inc.
NioyaTech.
Saxon.

This Report Covers:

✔ Go-to-market Strategy.

✔ Neutral perspective on the market performance.

✔Development trends, competitive landscape analysis, supply side analysis, demand side analysis, year-on-year growth, competitive benchmarking, vendor identification, and other significant analysis, as well as development status.

✔Customized regional/country reports as per request and country level analysis.

✔ Potential & niche segments and regions exhibiting promising growth covered.

✔ Analysis of Market Size (historical and forecast), Total Addressable Market (TAM), Serviceable Available Market (SAM), Serviceable Obtainable Market (SOM), Market Growth, Technological Trends, Market Share, Market Dynamics, Competitive Landscape and Major Players (Innovators, Start-ups, Laggard, and Pioneer).

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Market Segmentation:

By Component: Solutions, Services.

By Application: Diagnostics & Medical Imaging, Drug Discovery & Development, Personalized Treatment, Patient Monitoring & Predictive Analytics, Others.

By End-User: Hospitals & Clinics, Healthcare Organizations, Diagnostic Centers, Others.

Regional Analysis:

⇥ North America (U.S., Canada, Mexico)

⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)

⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)

⇥ South America (Colombia, Brazil, Argentina, Rest of South America)

⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

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Chapter Outline

⏩ Market Overview: It contains five chapters, as well as information about the research scope, major manufacturers covered, market segments, Generative AI in Healthcare market segments, study objectives, and years considered.

⏩ Market Landscape: The competition in the Global Generative AI in Healthcare Market is evaluated here in terms of value, turnover, revenues, and market share by organization, as well as market rate, competitive landscape, and recent developments, transaction, growth, sale, and market shares of top companies.

⏩ Companies Profiles: The global Generative AI in Healthcare market's leading players are studied based on sales, main products, gross profit margin, revenue, price, and growth production.

⏩ Market Outlook by Region: The report goes through gross margin, sales, income, supply, market share, CAGR, and market size by region in this segment. North America, Europe, Asia Pacific, Middle East & Africa, and South America are among the regions and countries studied in depth in this study.

⏩ Market Segments: It contains the deep research study which interprets how different end-user/application/type segments contribute to the Generative AI in Healthcare Market.

⏩ Market Forecast: Production Side: In this part of the report, the authors have focused on production and production value forecast, key producers forecast, and production and production value forecast by type.

⏩ Research Findings: This section of the report showcases the findings and analysis of the report.

⏩ Conclusion: This portion of the report is the last section of the report where the conclusion of the research study is provided.

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People Also Ask:

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