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Artificial Intelligence in Healthcare Market size was valued at USD 14.4 billion in 2023 growing at a CAGR of 39.2% between 2024 and 2032, driven by factors such as advancement in AI techniques such as machine learning and deep learning that have become increasingly sophisticated, allowing for more accurate diagnostics, predictive analytics, and drug discovery.
For instance, in February 2024, Elsevier Health, a global leader in medical information and data analytics launched ClinicalKey AI, the first and most advanced clinical decision support tool that combines the medical content with generative artificial intelligence (AI) to help clinicians at the point of care. Thus, growing application of artificial intelligence in drug discovery, medical imaging, precision medicine and genomics coupled with increasing personalized treatments is anticipated to drive the market growth.
Report Attribute | Details |
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Base Year: | 2023 |
Artificial Intelligence in Healthcare Market Size in 2023: | USD 14.4 Billion |
Forecast Period: | 2024 - 2032 |
Forecast Period 2024 - 2032 CAGR: | 39.2% |
2032 Value Projection: | USD 281.2 Billion |
Historical Data for: | 2021 - 2023 |
No. of Pages: | 90 |
Tables, Charts & Figures: | 153 |
Segments covered: | Offering, Application, and Region |
Growth Drivers: |
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Pitfalls & Challenges: |
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Further, technological advancement in machine learning & deep learning, growing application of AI in telemedicine and increase in demand for remote patient monitoring devices are the major factors that is expanding the demand for AI-based healthcare tools, thereby anticipated to foster the growth of the market.
AI in healthcare refers to the application of artificial intelligence techniques, such as machine learning, deep learning, natural language processing, and computer vision, to analyse 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.