The global federated learning in healthcare market size is accounted at USD 35.67 million in 2025 and is forecasted to hit around USD 141.01 million by 2034, representing a CAGR of 16.50% from 2025 to 2034. The North America market size was estimated at USD 10.41 million in 2024 and is expanding at a CAGR of 16.67% during the forecast period. The market sizing and forecasts are revenue-based (USD Million/Billion), with 2024 as the base year.
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
3.1. Market Snapshot
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
5.1. COVID-19 Landscape: Federated Learning in Healthcare Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
8.1. Federated Learning in Healthcare Market, by Application
8.1.1 Medical Imaging
8.1.1.1. Market Revenue and Forecast
8.1.2. Drug Discovery & Development
8.1.2.1. Market Revenue and Forecast
8.1.3. Electronic Health Records (EHR) Analysis
8.1.3.1. Market Revenue and Forecast
8.1.4. Remote Patient Monitoring
8.1.4.1. Market Revenue and Forecast
8.1.5. Clinical Trials
8.1.5.1. Market Revenue and Forecast
9.1. Federated Learning in Healthcare Market, by Deployment Mode
9.1.1. On-premises
9.1.1.1. Market Revenue and Forecast
9.1.2. Cloud-based
9.1.2.1. Market Revenue and Forecast
10.1. Federated Learning in Healthcare Market, by End-use
10.1.1. Hospitals & Healthcare Providers
10.1.1.1. Market Revenue and Forecast
10.1.2. Pharmaceutical & Biotechnology Companies
10.1.2.1. Market Revenue and Forecast
10.1.3. Research Institutions
10.1.3.1. Market Revenue and Forecast
10.1.4. Government & Regulatory Bodies
10.1.4.1. Market Revenue and Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Application
11.1.2. Market Revenue and Forecast, by Deployment Mode
11.1.3. Market Revenue and Forecast, by End-use
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Application
11.1.4.2. Market Revenue and Forecast, by Deployment Mode
11.1.4.3. Market Revenue and Forecast, by End-use
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Application
11.1.5.2. Market Revenue and Forecast, by Deployment Mode
11.1.5.3. Market Revenue and Forecast, by End-use
11.2. Europe
11.2.1. Market Revenue and Forecast, by Application
11.2.2. Market Revenue and Forecast, by Deployment Mode
11.2.3. Market Revenue and Forecast, by End-use
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Application
11.2.4.2. Market Revenue and Forecast, by Deployment Mode
11.2.4.3. Market Revenue and Forecast, by End-use
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Application
11.2.5.2. Market Revenue and Forecast, by Deployment Mode
11.2.5.3. Market Revenue and Forecast, by End-use
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Application
11.2.6.2. Market Revenue and Forecast, by Deployment Mode
11.2.6.3. Market Revenue and Forecast, by End-use
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Application
11.2.7.2. Market Revenue and Forecast, by Deployment Mode
11.2.7.3. Market Revenue and Forecast, by End-use
11.3. APAC
11.3.1. Market Revenue and Forecast, by Application
11.3.2. Market Revenue and Forecast, by Deployment Mode
11.3.3. Market Revenue and Forecast, by End-use
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Application
11.3.4.2. Market Revenue and Forecast, by Deployment Mode
11.3.4.3. Market Revenue and Forecast, by End-use
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Application
11.3.5.2. Market Revenue and Forecast, by Deployment Mode
11.3.5.3. Market Revenue and Forecast, by End-use
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Application
11.3.6.2. Market Revenue and Forecast, by Deployment Mode
11.3.6.3. Market Revenue and Forecast, by End-use
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Application
11.3.7.2. Market Revenue and Forecast, by Deployment Mode
11.3.7.3. Market Revenue and Forecast, by End-use
11.4. MEA
11.4.1. Market Revenue and Forecast, by Application
11.4.2. Market Revenue and Forecast, by Deployment Mode
11.4.3. Market Revenue and Forecast, by End-use
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Application
11.4.4.2. Market Revenue and Forecast, by Deployment Mode
11.4.4.3. Market Revenue and Forecast, by End-use
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Application
11.4.5.2. Market Revenue and Forecast, by Deployment Mode
11.4.5.3. Market Revenue and Forecast, by End-use
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Application
11.4.6.2. Market Revenue and Forecast, by Deployment Mode
11.4.6.3. Market Revenue and Forecast, by End-use
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Application
11.4.7.2. Market Revenue and Forecast, by Deployment Mode
11.4.7.3. Market Revenue and Forecast, by End-use
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Application
11.5.2. Market Revenue and Forecast, by Deployment Mode
11.5.3. Market Revenue and Forecast, by End-use
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Application
11.5.4.2. Market Revenue and Forecast, by Deployment Mode
11.5.4.3. Market Revenue and Forecast, by End-use
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Application
11.5.5.2. Market Revenue and Forecast, by Deployment Mode
11.5.5.3. Market Revenue and Forecast, by End-use
12.1. FedML
12.1.1. Company Overview
12.1.2. Product Offerings
12.1.3. Financial Performance
12.1.4. Recent Initiatives
12.2. GE Healthcare
12.2.1. Company Overview
12.2.2. Product Offerings
12.2.3. Financial Performance
12.2.4. Recent Initiatives
12.3. Google LLC
12.3.1. Company Overview
12.3.2. Product Offerings
12.3.3. Financial Performance
12.3.4. Recent Initiatives
12.4. Health Catalyst
12.4.1. Company Overview
12.4.2. Product Offerings
12.4.3. Financial Performance
12.4.4. Recent Initiatives
12.5. IBM Corporation
12.5.1. Company Overview
12.5.2. Product Offerings
12.5.3. Financial Performance
12.5.4. Recent Initiatives
12.6. Medtronic
12.6.1. Company Overview
12.6.2. Product Offerings
12.6.3. Financial Performance
12.6.4. Recent Initiatives
12.7. Microsoft
12.7.1. Company Overview
12.7.2. Product Offerings
12.7.3. Financial Performance
12.7.4. Recent Initiatives
12.8. NVIDIA Corporation
12.8.1. Company Overview
12.8.2. Product Offerings
12.8.3. Financial Performance
12.8.4. Recent Initiatives
12.9. Owkin, Inc.
12.9.1. Company Overview
12.9.2. Product Offerings
12.9.3. Financial Performance
12.9.4. Recent Initiatives
12.10. Siemens Healthineers
12.10.1. Company Overview
12.10.2. Product Offerings
12.10.3. Financial Performance
12.10.4. Recent Initiatives
13.1. Primary Research
13.2. Secondary Research
13.3. Assumptions
14.1. About Us
14.2. Glossary of Terms
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