CHICAGO, Feb. 5, 2024 /PRNewswire/ — The AI in Healthcare market is projected to grow from USD 20.9 billion in 2024 and is estimated to reach USD 148.4 billion by 2029; it is expected to grow at a Compound Annual Growth Rate (CAGR) of 48.1% from 2024 to 2029 according to a new report by MarketsandMarkets. The growth of the AI in Healthcare market is driven by the growing need for improvised healthcare services due to the imbalance between the healthcare workforce and patients; improving computing power, and declining hardware cost.


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Artificial Intelligence (AI) in Healthcare Market Report Scope:

Report Coverage


Market Revenue in 2024

$ 20.9 billion

Estimated Value by 2029

$ 148.4 billion

Growth Rate

Poised to grow at a CAGR of 48.1%

Market Size Available for


Forecast Period


Forecast Units

Value (USD Million/Billion)

Report Coverage

Revenue Forecast, Competitive Landscape, Growth Factors, and Trends

Segments Covered

By Offering, Technology, Application, End User & Region

Geographies Covered

North America, Europe, Asia Pacific, and Rest of World

Key Market Challenge

Lack of curated healthcare data

Key Market Opportunities

The growing potential of AI-based tools for elderly care

Key Market Drivers

Generation of large and complex healthcare datasets

By offering, the services are projected to grow at a high CAGR of AI in the healthcare market during the forecast period.

AI plays a pivotal role across diverse healthcare applications, necessitating the implementation of sophisticated algorithms for tasks ranging from patient data analysis to drug discovery. Its applications span patient care, risk analysis, lifestyle management, precision medicine, medical imaging, and more. Successful AI deployment hinges on comprehensive services such as deployment, integration, and ongoing support and maintenance. Key players in the AI services in the healthcare market, including Microsoft, Johnson & Johnson Services, Medtronic, Siemens Healthineers, and Koninklijke Philips, offer a spectrum of support services. These encompass online and offline assistance, installation, training, and post-maintenance, ensuring seamless integration and optimal functioning of AI systems in the dynamic healthcare landscape.

Machine learning technology in AI in healthcare market is expected to account for the largest share during the forecast period.

Machine learning revolutionizes computing by training systems to learn from data without explicit programming. Instead of predefined instructions, machine learning relies on algorithms to discern patterns and relationships in data, enhancing accuracy and performance with increased exposure to information. Key attributes include data-driven processes, adaptability to new data, and the absence of explicit programming. In healthcare, machine learning intersects with AI, offering transformative applications. It aids in medical diagnosis and imaging by detecting diseases in early stages through image analysis and predicting risks based on electronic health records. Additionally, it accelerates drug discovery, optimizes administrative tasks, and enhances public health initiatives by tracking outbreaks and identifying high-risk individuals. Despite its potential, challenges like data privacy, algorithmic bias, and ethical considerations underscore the importance of careful integration and human oversight in the evolving healthcare landscape shaped by machine learning.

Medical Imaging & Diagnostics segment will account for highest CAGR during the forecast period.

AI is reshaping medical imaging and diagnostics, steering in a new era of precision and efficiency. By employing super-resolution techniques, AI reconstructs lower-resolution medical images into highly detailed visuals, aiding in more accurate diagnoses. Automated image analysis and detection capabilities enable AI algorithms to swiftly identify abnormalities, such as tumors or fractures, streamlining the diagnostic process. Moreover, AI’s role in personalized medicine is pivotal, predicting disease risks and treatment responses, and even assisting in surgical planning. This transformative technology enhances the accuracy of diagnoses and contributes to more efficient workflows, improved accessibility to diagnostics, and the potential for personalized treatment strategies.

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Asia Pacific will account for the highest CAGR during the forecast period.

The increasing geriatric population in Asia Pacific countries is one of the major drivers for the growth of the AI in healthcare industry. According to the United Nations ESCAP report 2023 a significant demographic shift in Asia and the Pacific, projecting that the older population will surpass 1.3 billion by 2050, doubling from 630 million in 2020. In 2020, 13.6% of the region’s population was aged 60 or above, a figure expected to rise to one-quarter by 2050. According to the National Library of Medicine, 2023. In 2017, the Asia-Pacific region had 9.8% of its total population comprised of older adults. Projections indicate a rise to 13.7% by 2030 and a further increase to 20.3% by 2050. Notably, Japan, China, and Hong Kong are poised to lead globally with the highest percentage of individuals aged 80 and above.

Key Players

Key companies operating in the AI in healthcare companies are Koninklijke Philips N.V. (Netherlands), Microsoft (US), Siemens Healthineers AG (Germany), Intel Corporation (US), NVIDIA Corporation (US), Google Inc. (US), GE HealthCare Technologies Inc. (US), Oracle (US), and Johnson & Johnson Services, Inc. (US) among others.

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