Artificial Intelligence in Healthcare Market Size & Share 2024 - 2032
Market Size by Offering, by Application, by End Use, Global Forecast.
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Market Size by Offering, by Application, by End Use, Global Forecast.
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Base Year: 2023
Companies Profiled: 15
Tables & Figures: 148
Countries Covered: 19
Pages: 130
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Artificial Intelligence in Healthcare Market
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Artificial Intelligence in Healthcare Market Size
The global AI in healthcare market was valued at USD 18.7 billion in 2023 and is expected to exhibit growth at a CAGR of 37.1% from 2024 to 2032. The rising adoption of healthcare artificial intelligence in research areas, increasing range of future applications, and favorable funding scenario are some of the prime variables driving market growth.
Artificial Intelligence in Healthcare Market Key Takeaways
Market Size & Growth
Key Market Drivers
Challenges
The rising adoption of AI in healthcare research is revolutionizing the sector by enhancing diagnostic accuracy, streamlining clinical workflows, and accelerating treatment development. Significant advancements have highlighted AI's growing integration in research, particularly through machine learning (ML) and large language models (LLMs). For instance, in 2023, AI applications in radiology, gastroenterology, and cardiology were predominant, with 75.2% of AI-related healthcare publications leveraging image data, demonstrating the critical role of AI in data-heavy fields like medical imaging and diagnostics.
Additionally, AI applications in drug discovery have gained momentum, reducing the time for identifying viable compounds by nearly 70%. Companies like DeepMind have developed a new AI model AlphaFold in May 2024, which accurately predicts protein structures, and have unlocked new possibilities in treating diseases like Alzheimer’s and cancer. The application of AI in virtual health assistants, such as Babylon Health and ADA Health, has also surged, providing patients with instant access to medical advice and symptom assessment tools, enhancing their role in healthcare.
AI in healthcare refers to the application of artificial intelligence techniques, such as machine learning, deep learning, natural language processing, and computer vision, to analyze complex medical data and assist healthcare professionals in making informed decisions. AI in healthcare encompasses a wide range of applications, but not limited to medical imaging analysis, support personalized treatment, helps in drug discovery and development and remote monitoring and telemedicine.
Artificial Intelligence in Healthcare Market Trends
Advancements in big data analytics have been pivotal in driving the adoption of artificial intelligence in healthcare, enabling more efficient, accurate, and personalized medical care.
Artificial Intelligence in Healthcare Market Analysis
Based on offering, the market is classified into software and services. The software segment is expected to drive business growth and expand at a CAGR of 36.9%, reaching over USD 252.9 billion by 2032.
Based on application, the AI in healthcare market is classified into medical imaging and diagnosis, drug discovery, workflow management, patient engagement solutions, cybersecurity, and other applications. The medical imaging and diagnosis segment held a dominant market share in 2023 and was valued at over USD 7.4 billion.
Based on end use, the AI in healthcare market is segmented into healthcare providers, pharmaceutical and life sciences companies, and healthcare payors. Healthcare providers held the largest market share of 45.2% in 2023, and it is anticipated to expand at a CAGR of 36.8% over the forecast period.
North America artificial intelligence in healthcare market accounted for USD 7.7 billion in market revenue in 2023 and is anticipated to grow at a CAGR of 37.7% between the 2024 – 2032.
France AI in healthcare market is projected to grow remarkably in the coming years.
Japan holds a dominant position in the Asia Pacific AI in healthcare market.
Artificial Intelligence in Healthcare Market Share
The artificial intelligence in healthcare market is competitive, with key players including large multinationals like International Business Machines Corporation, IQVIA, and Koninklijke Philips N.V., which lead in innovation and extensive product portfolios. Regional companies and new entrants, particularly from APAC, are intensifying competition with affordable, technology-driven solutions tailored for local markets.
The market sees frequent technological advancements, such as integration of advanced machine learning models, natural language processing (NLP), and predictive analytics. Strategic partnerships, mergers, and acquisitions are also common as companies seek to expand market reach and enhance their technological capabilities.
Artificial Intelligence in Healthcare Market Companies
Prominent players operating in the artificial intelligence in healthcare industry include:
Artificial Intelligence in Healthcare Industry News:
The AI in healthcare market research report includes in-depth coverage of the industry with estimates and forecasts in terms of revenue in USD Million from 2021 to 2032 for the following segments:
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Market, By Offering
Market, By Application
Market, By End Use
The above information is provided for the following regions and countries:
Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
Trust & credibility
Verified data sources
Trade publications
Security & defense sector journals and trade press
Industry databases
Proprietary and third-party market databases
Regulatory filings
Government procurement records and policy documents
Academic research
University studies and specialist institution reports
Company reports
Annual reports, investor presentations, and filings
Expert interviews
C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 30+ industry verticals
Trade data
Import/export volumes, HS codes, and customs records
Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →