Product Code: GVR-3-68038-951-7
AI In Healthcare Market Summary
The global AI in healthcare market size was valued at USD 26.57 billion in 2024 and is projected to reach USD 505.59 billion by 2033, growing at a CAGR of 38.81% from 2025 to 2033. The key factor driving the growth is the increasing demand in the healthcare sector for enhanced efficiency, accuracy, and better patient outcomes.
According to a March 2024 Microsoft-IDC study, 79% of healthcare organizations are presently utilizing AI technology. Additionally, the return on investment (ROI) is realized within 14 months, generating USD 3.20 for every USD 1 invested in AI. AI technologies hold transformative potential in various areas, including medical imaging analysis, predictive analytics, personalized treatment planning, and drug discovery, with the potential to transform conventional healthcare practices.
The exponential growth in healthcare data, sourced from electronic health records, medical imaging scans, wearable devices, and genomic sequencing, presents significant opportunities for AI-powered solutions to extract actionable insights and support clinical decision-making.
The increasing shortage of healthcare workers is also driving the adoption of AI and machine learning (ML) technologies. According to World Economic Forum estimates from May 2023, there will be a global health worker deficit of 10 million by 2033. Hence, AI algorithms can be trained to analyze patient health data, aiding care providers in rapid diagnosis and treatment planning.
The implementation of AI and ML technologies aims to enhance patient care, reduce machine downtime, and lower care expenses, driving market growth. The pandemic has further accelerated the adoption of AI-based technologies, particularly in diagnostics, patient and medication management, claims processing, workflow optimization, machine integration, and cybersecurity within healthcare settings.
Global AI In Healthcare Market Report Segmentation
This report forecasts revenue growth at the global, regional, and country-level and provides an analysis of industry trends in each of the sub segments from 2021 to 2033. For this study, Grand View Research, Inc. has segmented the global AI in healthcare market report based on component, application, technology, end use, and region:
- Component Outlook (Revenue, USD Million, 2021 - 2033)
- Hardware
- Processor
- MPU (memory protection unit)
- FPGA (Field-programmable gate array)
- GPU (Graphics processing unit)
- ASIC (Application-specific integrated circuit)
- Memory
- Network
- Adapter
- Interconnect
- Switch
- Software Solutions
- AI platform
- Application Program Interface (API)
- Machine Learning Framework
- AI Solutions
- On premise
- Cloud based
- Services
- Deployment & Integration
- Support & Maintenance
- Others (Consulting, Compliance management etc.)
- Application Outlook (Revenue, USD Million, 2021 - 2033)
- Robot Assisted Surgery
- Virtual Assistants
- Administrative Workflow Assistants
- Connected Medical devices
- Medical Imaging & Diagnostics
- Clinical Trials
- Fraud Detection
- Cybersecurity
- Dosage Error Reduction
- Precision medicine
- Drug discovery & development
- Lifestyle management & remote patient monitoring
- Wearables
- Others (Patient engagement, etc.)
- Technology Outlook (Revenue, USD Million, 2021 - 2033)
- Machine Learning
- Deep learning
- Supervised
- Unsupervised
- Others (Reinforcement learning, Semi supervised)
- Natural Language Processing
- Smart Assistance
- OCR (Optical Character Recognition)
- Auto Coding
- Text analytics
- Speech analytics
- Classification and categorization
- Context-Aware Computing'
- Computer Vision
- End Use Outlook (Revenue, USD Million, 2021 - 2033)
- Healthcare providers (hospitals, outpatient facilities, and others)
- Healthcare payers
- Healthcare companies (Pharmaceutical, Biotechnology, Medical Devices)
- Patients
- Others
- Regional Outlook (Revenue, USD Million, 2021 - 2033)
- North America
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Sweden
- Denmark
- Norway
- Asia Pacific
- China
- India
- Japan
- Australia
- South Korea
- Thailand
- Latin America
- MEA
- South Africa
- Saudi Arabia
- UAE
- Kuwait
Table of Contents
Chapter 1. Methodology and Scope
- 1.1. Market Segmentation & Scope
- 1.2. Research Methodology
- 1.3. Information Procurement
- 1.3.1. Purchased database
- 1.3.2. GVR's internal database
- 1.3.3. Secondary sources
- 1.3.4. Primary research
- 1.3.5. Details of primary research
- 1.3.5.1. Data for primary interviews in North America
- 1.3.5.2. Data for primary interviews in Europe
- 1.3.5.3. Data for primary interviews in Asia Pacific
- 1.3.5.4. Data for primary interviews in Latin America
- 1.3.5.5. Data for Primary interviews in MEA
- 1.4. Information or Data Analysis
- 1.4.1. Data analysis models
- 1.5. Market Formulation & Data Validation
- 1.6. Model Details
- 1.6.1. Commodity flow analysis (Model 1)
- 1.6.2. Approach 1: Commodity flow approach
- 1.6.3. Volume price analysis (Model 2)
- 1.6.4. Approach 2: Volume price analysis
- 1.7. List of Secondary Sources
- 1.8. List of Primary Sources
- 1.9. Objectives
Chapter 2. Executive Summary
- 2.1. Market Outlook
- 2.2. Segment Outlook
- 2.2.1. Component outlook
- 2.2.2. Application outlook
- 2.2.3. Technology outlook
- 2.2.4. End Use outlook
- 2.2.5. Regional outlook
- 2.3. Competitive Insights
Chapter 3. AI in Healthcare Market Variables, Trends & Scope
- 3.1. Market Lineage Outlook
- 3.1.1. Parent market outlook
- 3.1.2. Related/ancillary market outlook
- 3.2. Market Dynamics
- 3.2.1. Market driver analysis
- 3.2.2. Market restraint analysis
- 3.2.3. Market opportunity analysis
- 3.2.4. Market challenges analysis
- 3.3. Case Studies: Real-World Implementation Success Stories of AI-Driven Healthcare
- 3.4. AI in Healthcare Market Analysis Tools
- 3.4.1. Industry Analysis - Porter's
- 3.4.1.1. Supplier power
- 3.4.1.2. Buyer power
- 3.4.1.3. Substitution threat
- 3.4.1.4. Threat of new entrant
- 3.4.1.5. Competitive rivalry
- 3.4.2. PESTEL Analysis
- 3.4.2.1. Political landscape
- 3.4.2.2. Technological landscape
- 3.4.2.3. Economic landscape
- 3.4.2.4. Environmental Landscape
- 3.4.2.5. Legal Landscape
- 3.4.2.6. Social Landscape
- 3.5. Industry Analysis - COVID-19 impact
- 3.6. Case Studies
Chapter 4. AI in Healthcare Market: Component Estimates & Trend Analysis
- 4.1. Definitions and Scope
- 4.2. Segment Dashboard
- 4.3. AI in Healthcare Market Movement Analysis
- 4.4. AI in Healthcare Market Size & Trend Analysis, by Component, 2021 to 2033 (USD Million)
- 4.4.1. Software Solutions
- 4.4.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.1.1.1. AI platform
- 4.4.1.1.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.1.1.1.2. Application Program Interface (API)
- 4.4.1.1.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.1.1.1.3. Machine Learning Framework
- 4.4.1.1.1.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.1.1.2. AI Solutions
- 4.4.1.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.1.1.2.2. On premise
- 4.4.1.1.2.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.1.1.2.3. Cloud based
- 4.4.1.1.2.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.2. Hardware
- 4.4.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.2.1.1. Processor
- 4.4.2.1.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.2.1.1.2. MPU (memory protection unit)
- 4.4.2.1.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.2.1.1.3. FPGA (Field-programmable gate array)
- 4.4.2.1.1.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.2.1.1.4. GPU (Graphics processing unit)
- 4.4.2.1.1.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.2.1.1.5. ASIC (Application-specific integrated circuit)
- 4.4.2.1.1.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.2.1.2. Memory
- 4.4.2.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.2.1.3. Network
- 4.4.2.1.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.2.1.3.2. Adapter
- 4.4.2.1.3.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.2.1.3.3. Interconnect
- 4.4.2.1.3.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.2.1.3.4. Switch
- 4.4.2.1.3.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.3. Services
- 4.4.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.3.1.1. Deployment & Integration
- 4.4.3.1.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.3.1.2. Support & Maintenance
- 4.4.3.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.4.3.1.3. Others (Consulting, Compliance management etc.)
- 4.4.3.1.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
Chapter 5. AI in Healthcare Market: Application Estimates & Trend Analysis
- 5.1. Definitions and Scope
- 5.2. Segment Dashboard
- 5.3. AI in Healthcare Market Movement Analysis
- 5.4. AI in Healthcare Market Size & Trend Analyses, by Application, 2021 to 2033 (USD Million)
- 5.4.1. Robot Assisted Surgery
- 5.4.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 5.4.2. Virtual Assistants
- 5.4.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 5.4.3. Administrative Workflow Assistants
- 5.4.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 5.4.4. Connected Medical Devices
- 5.4.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 5.4.5. Medical Imagining & Diagnosis
- 5.4.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 5.4.6. Clinical Trials
- 5.4.6.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 5.4.7. Fraud Detection
- 5.4.7.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 5.4.8. Cybersecurity
- 5.4.8.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 5.4.9. Dosage Error Reduction
- 5.4.9.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 5.4.10. Precision medicine
- 5.4.10.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 5.4.11. Drug discovery & development
- 5.4.11.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 5.4.12. Lifestyle management & remote patient monitoring
- 5.4.12.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 5.4.13. Wearables
- 5.4.13.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 5.4.14. Others
- 5.4.14.1. Market estimates and forecast 2021 to 2033 (USD Million)
Chapter 6. AI in Healthcare Market: Technology Estimates & Trend Analysis
- 6.1. Definitions and Scope
- 6.2. Segment Dashboard
- 6.3. AI in Healthcare Market Movement Analysis
- 6.4. AI in Healthcare Market Size & Trend Analyses, by Technology, 2021 to 2033 (USD Million)
- 6.4.1. Machine Learning
- 6.4.1.1. Market estimates and forecast 2021 to 2033 (USD million)
- 6.4.1.1.1. Deep learning
- 6.4.1.1.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 6.4.1.1.2. Supervised
- 6.4.1.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 6.4.1.1.3. Unsupervised
- 6.4.1.1.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 6.4.1.1.4. Others (Reinforcement learning, Semi supervised)
- 6.4.1.1.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 6.4.2. NLP
- 6.4.2.1. Market estimates and forecast 2021 to 2033 (USD million)
- 6.4.2.1.1. Smart Assistance
- 6.4.2.1.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 6.4.2.1.2. OCR (Optical Character Recognition)
- 6.4.2.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 6.4.2.1.3. Auto Coding
- 6.4.2.1.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 6.4.2.1.4. Text analytics
- 6.4.2.1.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 6.4.2.1.5. Speech analytics
- 6.4.2.1.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 6.4.2.1.6. Classification and categorization
- 6.4.2.1.6.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 6.4.3. Computer Vision
- 6.4.3.1. Market estimates and forecast 2021 to 2033 (USD million)
- 6.4.4. Context-aware computing
- 6.4.4.1. Market estimates and forecast 2021 to 2033 (USD million)
Chapter 7. AI in Healthcare Market: End Use Estimates & Trend Analysis
- 7.1. Definitions and Scope
- 7.2. Segment Dashboard
- 7.3. AI in Healthcare Market Movement Analysis
- 7.4. AI in Healthcare Market Size & Trend Analyses, By End Use, 2021 to 2033 (USD Million)
- 7.4.1. Healthcare providers (hospitals, outpatient facilities, and others)
- 7.4.1.1. Market estimates and forecast 2021 to 2033 (USD million)
- 7.4.2. Healthcare payers
- 7.4.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 7.4.3. Healthcare Companies
- 7.4.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 7.4.4. Patients
- 7.4.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 7.4.5. Others
- 7.4.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
Chapter 8. AI in Healthcare Market: Regional Estimates & Trend Analysis by Component, Applications, Technology & End Use
- 8.1. Regional Market Dashboard
- 8.2. Global Regional Market Snapshot
- 8.3. Market Size, & Forecasts Trend Analysis, 2021 to 2033
- 8.4. North America
- 8.4.1. Market estimates and forecasts 2021 to 2033 (USD Million)
- 8.4.2. U.S.
- 8.4.2.1. U.S. market estimates and forecast, 2021 - 2033 (USD Million)
- 8.4.3. Canada
- 8.4.3.1. Canada market estimates and forecast, 2021 - 2033 (USD Million)
- 8.4.4. Mexico
- 8.4.4.1. Mexico market estimates and forecast, 2021 - 2033 (USD Million)
- 8.5. Europe
- 8.5.1. Market estimates and forecasts 2021 to 2033 (USD Million)
- 8.5.2. UK
- 8.5.2.1. UK market estimates and forecast, 2021 - 2033 (USD Million)
- 8.5.3. Germany
- 8.5.3.1. Germany market estimates and forecast, 2021 - 2033 (USD Million)
- 8.5.4. France
- 8.5.4.1. France market estimates and forecast, 2021 - 2033 (USD Million)
- 8.5.5. Italy
- 8.5.5.1. Italy market estimates and forecast, 2021 - 2033 (USD Million)
- 8.5.6. Spain
- 8.5.6.1. Spain market estimates and forecast, 2021 - 2033 (USD Million)
- 8.5.7. Sweden
- 8.5.7.1. Sweden market estimates and forecast, 2021 - 2033 (USD Million)
- 8.5.8. Denmark
- 8.5.8.1. Denmark market estimates and forecast, 2021 - 2033 (USD Million)
- 8.5.9. Norway
- 8.5.9.1. Norway market estimates and forecast, 2021 - 2033 (USD Million)
- 8.6. Asia Pacific
- 8.6.1. Market estimates and forecasts 2021 to 2033 (USD Million)
- 8.6.2. Japan
- 8.6.2.1. Japan market estimates and forecast, 2021 - 2033 (USD Million)
- 8.6.3. China
- 8.6.3.1. China market estimates and forecast, 2021 - 2033 (USD Million)
- 8.6.4. India
- 8.6.4.1. India market estimates and forecast, 2021 - 2033 (USD Million)
- 8.6.5. Australia
- 8.6.5.1. Australia market estimates and forecast, 2021 - 2033 (USD Million)
- 8.6.6. South Korea
- 8.6.6.1. South Korea market estimates and forecast, 2021 - 2033 (USD Million)
- 8.6.7. Thailand
- 8.6.7.1. Thailand market estimates and forecast, 2021 - 2033 (USD Million)
- 8.7. Latin America
- 8.7.1. Market estimates and forecasts 2021 to 2033 (USD Million)
- 8.7.2. Brazil
- 8.7.2.1. Brazil market estimates and forecast, 2021 - 2033 (USD Million)
- 8.7.3. Argentina
- 8.7.3.1. Argentina market estimates and forecast, 2021 - 2033 (USD Million)
- 8.8. MEA
- 8.8.1. Market estimates and forecasts 2021 to 2033 (USD Million)
- 8.8.2. South Africa
- 8.8.2.1. South Africa market estimates and forecast, 2021 - 2033 (USD Million)
- 8.8.3. Saudi Arabia
- 8.8.3.1. Saudi Arabia market estimates and forecast, 2021 - 2033 (USD Million)
- 8.8.4. UAE
- 8.8.4.1. UAE market estimates and forecast, 2021 - 2033 (USD Million)
- 8.8.5. Kuwait
- 8.8.5.1. UAE market estimates and forecast, 2021 - 2033 (USD Million)
Chapter 9. Competitive Landscape
- 9.1. Recent Developments & Impact Analysis, By Key Market Participants
- 9.2. Company/Competition Categorization
- 9.2.1. Key Innovators
- 9.2.2. Market Leaders
- 9.2.3. Emerging Players
- 9.3. Vendor Landscape
- 9.3.1. Key company market share analysis, 2024
- 9.3.2. Microsoft
- 9.3.2.1. Company overview
- 9.3.2.2. Financial performance
- 9.3.2.3. Product benchmarking
- 9.3.2.4. Strategic initiatives
- 9.3.3. IBM
- 9.3.3.1. Company overview
- 9.3.3.2. Financial performance
- 9.3.3.3. Product benchmarking
- 9.3.3.4. Strategic initiatives
- 9.3.4. NVIDIA Corporation
- 9.3.4.1. Company overview
- 9.3.4.2. Financial performance
- 9.3.4.3. Product benchmarking
- 9.3.4.4. Strategic initiatives
- 9.3.5. Intel Corporation
- 9.3.5.1. Company overview
- 9.3.5.2. Financial performance
- 9.3.5.3. Product benchmarking
- 9.3.5.4. Strategic initiatives
- 9.3.6. Itrex Group
- 9.3.6.1. Company overview
- 9.3.6.2. Financial performance
- 9.3.6.3. Product benchmarking
- 9.3.6.4. Strategic initiatives
- 9.3.7. GE Healthcare
- 9.3.7.1. Company overview
- 9.3.7.2. Financial performance
- 9.3.7.3. Product benchmarking
- 9.3.7.4. Strategic initiatives
- 9.3.8. Medtronic
- 9.3.8.1. Company overview
- 9.3.8.2. Financial performance
- 9.3.8.3. Product benchmarking
- 9.3.8.4. Strategic initiatives
- 9.3.9. Oracle
- 9.3.9.1. Company overview
- 9.3.9.2. Financial performance
- 9.3.9.3. Product benchmarking
- 9.3.9.4. Strategic initiatives
- 9.3.10. Medidata
- 9.3.10.1. Company overview
- 9.3.10.2. Financial performance
- 9.3.10.3. Product benchmarking
- 9.3.10.4. Strategic initiatives
- 9.3.11. Google
- 9.3.11.1. Company overview
- 9.3.11.2. Financial performance
- 9.3.11.3. Product benchmarking
- 9.3.11.4. Strategic initiatives
- 9.3.12. IQVIA
- 9.3.12.1. Company overview
- 9.3.12.2. Financial performance
- 9.3.12.3. Product benchmarking
- 9.3.12.4. Strategic initiatives
- 9.3.13. Merck
- 9.3.13.1. Company overview
- 9.3.13.2. Financial performance
- 9.3.13.3. Product benchmarking
- 9.3.13.4. Strategic initiatives