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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1799602

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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1799602

Global Artificial Intelligence (AI) in Healthcare Market Size Study & Forecast, by Component (Hardware, Services), by Application, by End Use, by Technology, and Regional Forecasts 2025-2035

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The Global Artificial Intelligence (AI) in Healthcare Market is valued at approximately USD 26.57 billion in 2024 and is projected to expand at a staggering CAGR of 38.62% over the forecast period 2025-2035. AI in healthcare represents a transformative leap in the way medical services are delivered, analyzed, and optimized. Through advanced algorithms, machine learning models, and predictive analytics, AI enhances diagnostic accuracy, streamlines treatment pathways, and personalizes patient care with unprecedented precision. This disruptive technology is not only improving operational efficiency but is also enabling healthcare providers to proactively prevent diseases, thereby reducing the overall cost burden on health systems. The surging demand for AI-powered tools is being driven by rapid digital transformation in healthcare, the proliferation of medical data, and the pressing need to address rising global healthcare demands with limited resources.

The acceleration of AI adoption in healthcare is heavily fueled by its potential to solve long-standing challenges-from early disease detection and clinical decision support to robotic-assisted surgeries and real-time patient monitoring. Breakthroughs in natural language processing, computer vision, and deep learning are making it possible to analyze medical imaging faster and with greater accuracy than ever before. For instance, AI algorithms can detect minute anomalies in CT scans and MRIs that even seasoned radiologists might overlook, significantly improving diagnostic confidence. Moreover, as healthcare providers grapple with workforce shortages and mounting patient loads, AI-driven automation is emerging as a vital tool to alleviate administrative burdens, improve care delivery speed, and enhance patient outcomes. However, regulatory hurdles, ethical concerns over data privacy, and the high cost of implementation remain potential roadblocks to widespread adoption in the coming decade.

Regionally, North America currently dominates the AI in Healthcare market landscape, buoyed by its sophisticated healthcare infrastructure, strong presence of tech giants, substantial R&D investment, and favorable government initiatives supporting digital health adoption. The region's robust ecosystem of AI startups and established medical technology players has created a fertile ground for innovation and commercialization. Europe follows closely, with accelerated deployment of AI-powered diagnostic and therapeutic solutions in countries such as Germany, the UK, and France, where regulatory bodies are increasingly supportive of AI integration in clinical practice. Meanwhile, Asia Pacific is projected to witness the fastest growth during the forecast period, driven by expanding healthcare access in China and India, increasing investments in health tech, and governmental efforts to modernize healthcare delivery. The region's vast population base and growing burden of chronic diseases are compelling healthcare systems to turn toward AI for scalable, cost-effective solutions.

Major market players included in this report are:

  • IBM Corporation
  • Microsoft Corporation
  • NVIDIA Corporation
  • Google LLC (Alphabet Inc.)
  • Amazon Web Services, Inc.
  • GE HealthCare Technologies Inc.
  • Philips Healthcare
  • Siemens Healthineers AG
  • Medtronic plc
  • Oracle Corporation
  • Intel Corporation
  • Cerner Corporation (Oracle Health)
  • Epic Systems Corporation
  • SAS Institute Inc.
  • Tempus Labs, Inc.

Global Artificial Intelligence (AI) in Healthcare Market Report Scope:

  • Historical Data - 2023, 2024
  • Base Year for Estimation - 2024
  • Forecast period - 2025-2035
  • Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
  • Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
  • Customization Scope - Free report customization (equivalent up to 8 analysts' working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segments of the market are explained below:

By Component:

  • Hardware
  • Services

By Application:

  • Clinical Decision Support
  • Medical Imaging & Diagnosis
  • Patient Data & Risk Analysis
  • Drug Discovery & Development
  • Virtual Assistants
  • Remote Patient Monitoring
  • Others

By End Use:

  • Hospitals & Healthcare Providers
  • Pharmaceutical & Biotechnology Companies
  • Patients
  • Healthcare Payers
  • Others

By Technology:

  • Machine Learning
  • Natural Language Processing (NLP)
  • Context-Aware Computing
  • Computer Vision

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Rest of Asia Pacific
  • Latin America
  • Brazil
  • Mexico
  • Middle East & Africa
  • UAE
  • Saudi Arabia
  • South Africa
  • Rest of Middle East & Africa

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2025 to 2035.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with country-level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market.

Table of Contents

Chapter 1. Global Artificial Intelligence (AI) in Healthcare Market Report Scope & Methodology

  • 1.1. Research Objective
  • 1.2. Research Methodology
    • 1.2.1. Forecast Model
    • 1.2.2. Desk Research
    • 1.2.3. Top Down and Bottom-Up Approach
  • 1.3. Research Attributes
  • 1.4. Scope of the Study
    • 1.4.1. Market Definition
    • 1.4.2. Market Segmentation
  • 1.5. Research Assumption
    • 1.5.1. Inclusion & Exclusion
    • 1.5.2. Limitations
    • 1.5.3. Years Considered for the Study

Chapter 2. Executive Summary

  • 2.1. CEO/CXO Standpoint
  • 2.2. Strategic Insights
  • 2.3. ESG Analysis
  • 2.4. key Findings

Chapter 3. Global Artificial Intelligence (AI) in Healthcare Market Forces Analysis

  • 3.1. Market Forces Shaping The Global Artificial Intelligence (AI) in Healthcare Market (2024-2035)
  • 3.2. Drivers
    • 3.2.1. Rapid digital transformation and data proliferation fueling AI-enabled precision care
    • 3.2.2. Advances in ML/NLP/computer vision improving diagnostics, automation, and outcomes
  • 3.3. Restraints
    • 3.3.1. Stringent data privacy/regulatory requirements and algorithmic bias concerns
    • 3.3.2. High implementation costs, legacy IT integration hurdles, and talent shortages
  • 3.4. Opportunities
    • 3.4.1. Accelerating APAC adoption, telehealth scale-up, and remote patient monitoring
    • 3.4.2. AI-driven drug discovery, clinical trial optimization, and real-world evidence analytics

Chapter 4. Global Artificial Intelligence (AI) in Healthcare Industry Analysis

  • 4.1. Porter's 5 Forces Model
    • 4.1.1. Bargaining Power of Buyer
    • 4.1.2. Bargaining Power of Supplier
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
  • 4.2. Porter's 5 Force Forecast Model (2024-2035)
  • 4.3. PESTEL Analysis
    • 4.3.1. Political
    • 4.3.2. Economical
    • 4.3.3. Social
    • 4.3.4. Technological
    • 4.3.5. Environmental
    • 4.3.6. Legal
  • 4.4. Top Investment Opportunities
  • 4.5. Top Winning Strategies (2025)
  • 4.6. Market Share Analysis (2024-2025)
  • 4.7. Global Pricing Analysis And Trends 2025
  • 4.8. Analyst Recommendation & Conclusion

Chapter 5. Global Artificial Intelligence (AI) in Healthcare Market Size & Forecasts by Component 2025-2035

  • 5.1. Market Overview
  • 5.2. Global Growth Hormone Deficiency Market Performance - Potential Analysis (2025)
  • 5.3. Hardware
    • 5.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 5.3.2. Market size analysis, by region, 2025-2035
  • 5.4. Services
    • 5.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 5.4.2. Market size analysis, by region, 2025-2035

Chapter 6. Global Artificial Intelligence (AI) in Healthcare Market Size & Forecasts by Application 2025-2035

  • 6.1. Market Overview
  • 6.2. Global Growth Hormone Deficiency Market Performance - Potential Analysis (2025)
  • 6.3. Clinical Decision Support
    • 6.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 6.3.2. Market size analysis, by region, 2025-2035
  • 6.4. Medical Imaging & Diagnosis
    • 6.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 6.4.2. Market size analysis, by region, 2025-2035
  • 6.5. Patient Data & Risk Analysis
    • 6.5.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 6.5.2. Market size analysis, by region, 2025-2035
  • 6.6. Drug Discovery & Development
    • 6.6.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 6.6.2. Market size analysis, by region, 2025-2035
  • 6.7. Virtual Assistants
    • 6.7.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 6.7.2. Market size analysis, by region, 2025-2035
  • 6.8. Remote Patient Monitoring
    • 6.8.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 6.8.2. Market size analysis, by region, 2025-2035
  • 6.9. Others
    • 6.9.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 6.9.2. Market size analysis, by region, 2025-2035

Chapter 7. Global Artificial Intelligence (AI) in Healthcare Market Size & Forecasts by Region 2025-2035

  • 7.1. Growth Hormone Deficiency Market, Regional Market Snapshot
  • 7.2. Top Leading & Emerging Countries
  • 7.3. North America Artificial Intelligence (AI) in Healthcare Market
    • 7.3.1. U.S. Artificial Intelligence (AI) in Healthcare Market
      • 7.3.1.1. Component breakdown size & forecasts, 2025-2035
      • 7.3.1.2. Application breakdown size & forecasts, 2025-2035
    • 7.3.2. Canada Artificial Intelligence (AI) in Healthcare Market
      • 7.3.2.1. Component breakdown size & forecasts, 2025-2035
      • 7.3.2.2. Application breakdown size & forecasts, 2025-2035
  • 7.4. Europe Artificial Intelligence (AI) in Healthcare Market
    • 7.4.1. UK Artificial Intelligence (AI) in Healthcare Market
      • 7.4.1.1. Component breakdown size & forecasts, 2025-2035
      • 7.4.1.2. Application breakdown size & forecasts, 2025-2035
    • 7.4.2. Germany Artificial Intelligence (AI) in Healthcare Market
      • 7.4.2.1. Component breakdown size & forecasts, 2025-2035
      • 7.4.2.2. Application breakdown size & forecasts, 2025-2035
    • 7.4.3. France Artificial Intelligence (AI) in Healthcare Market
      • 7.4.3.1. Component breakdown size & forecasts, 2025-2035
      • 7.4.3.2. Application breakdown size & forecasts, 2025-2035
    • 7.4.4. Spain Artificial Intelligence (AI) in Healthcare Market
      • 7.4.4.1. Component breakdown size & forecasts, 2025-2035
      • 7.4.4.2. Application breakdown size & forecasts, 2025-2035
    • 7.4.5. Italy Artificial Intelligence (AI) in Healthcare Market
      • 7.4.5.1. Component breakdown size & forecasts, 2025-2035
      • 7.4.5.2. Application breakdown size & forecasts, 2025-2035
    • 7.4.6. Rest of Europe Artificial Intelligence (AI) in Healthcare Market
      • 7.4.6.1. Component breakdown size & forecasts, 2025-2035
      • 7.4.6.2. Application breakdown size & forecasts, 2025-2035
  • 7.5. Asia Pacific Artificial Intelligence (AI) in Healthcare Market
    • 7.5.1. China Artificial Intelligence (AI) in Healthcare Market
      • 7.5.1.1. Component breakdown size & forecasts, 2025-2035
      • 7.5.1.2. Application breakdown size & forecasts, 2025-2035
    • 7.5.2. India Artificial Intelligence (AI) in Healthcare Market
      • 7.5.2.1. Component breakdown size & forecasts, 2025-2035
      • 7.5.2.2. Application breakdown size & forecasts, 2025-2035
    • 7.5.3. Japan Artificial Intelligence (AI) in Healthcare Market
      • 7.5.3.1. Component breakdown size & forecasts, 2025-2035
      • 7.5.3.2. Application breakdown size & forecasts, 2025-2035
    • 7.5.4. Australia Artificial Intelligence (AI) in Healthcare Market
      • 7.5.4.1. Component breakdown size & forecasts, 2025-2035
      • 7.5.4.2. Application breakdown size & forecasts, 2025-2035
    • 7.5.5. South Korea Artificial Intelligence (AI) in Healthcare Market
      • 7.5.5.1. Component breakdown size & forecasts, 2025-2035
      • 7.5.5.2. Application breakdown size & forecasts, 2025-2035
    • 7.5.6. Rest of APAC Artificial Intelligence (AI) in Healthcare Market
      • 7.5.6.1. Component breakdown size & forecasts, 2025-2035
      • 7.5.6.2. Application breakdown size & forecasts, 2025-2035
  • 7.6. Latin America Artificial Intelligence (AI) in Healthcare Market
    • 7.6.1. Brazil Artificial Intelligence (AI) in Healthcare Market
      • 7.6.1.1. Component breakdown size & forecasts, 2025-2035
      • 7.6.1.2. Application breakdown size & forecasts, 2025-2035
    • 7.6.2. Mexico Artificial Intelligence (AI) in Healthcare Market
      • 7.6.2.1. Component breakdown size & forecasts, 2025-2035
      • 7.6.2.2. Application breakdown size & forecasts, 2025-2035
  • 7.7. Middle East and Africa Artificial Intelligence (AI) in Healthcare Market
    • 7.7.1. UAE Artificial Intelligence (AI) in Healthcare Market
      • 7.7.1.1. Component breakdown size & forecasts, 2025-2035
      • 7.7.1.2. Application breakdown size & forecasts, 2025-2035
    • 7.7.2. Saudi Arabia (KSA) Artificial Intelligence (AI) in Healthcare Market
      • 7.7.2.1. Component breakdown size & forecasts, 2025-2035
      • 7.7.2.2. Application breakdown size & forecasts, 2025-2035
    • 7.7.3. South Africa Artificial Intelligence (AI) in Healthcare Market
      • 7.7.3.1. Component breakdown size & forecasts, 2025-2035
      • 7.7.3.2. Application breakdown size & forecasts, 2025-2035

Chapter 8. Competitive Intelligence

  • 8.1. Top Market Strategies
  • 8.2. Microsoft Corporation
    • 8.2.1. Company Overview
    • 8.2.2. Key Executives
    • 8.2.3. Company Snapshot
    • 8.2.4. Financial Performance (Subject to Data Availability)
    • 8.2.5. Product/Services Port
    • 8.2.6. Recent Development
    • 8.2.7. Market Strategies
    • 8.2.8. SWOT Analysis
  • 8.3. IBM Corporation
  • 8.4. NVIDIA Corporation
  • 8.5. Google LLC (Alphabet Inc.)
  • 8.6. Amazon Web Services, Inc.
  • 8.7. GE HealthCare Technologies Inc.
  • 8.8. Philips Healthcare
  • 8.9. Siemens Healthineers AG
  • 8.10. Medtronic plc
  • 8.11. Oracle Corporation
  • 8.12. Intel Corporation
  • 8.13. Cerner Corporation (Oracle Health)
  • 8.14. Epic Systems Corporation
  • 8.15. SAS Institute Inc.
  • 8.16. Tempus Labs, Inc.
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