Artificial Intelligence (AI) in Healthcare Market to Reach US$110.61 Billion by 2030
The global Artificial Intelligence (AI) in healthcare market is set for significant growth, valued at US$14.92 billion in 2024 and expected to hit US$110.61 billion by 2030, with a CAGR of 38.6%. This surge is driven by the rising incidence of chronic diseases and an aging population, which increase the demand for early detection and personalized treatment of conditions like dementia and cardiovascular disorders.
AI enables the analysis of complex imaging data to identify patterns, supporting healthcare providers in creating more effective, personalized care plans. This shift is crucial as healthcare systems face pressure to manage costs while improving patient outcomes.
Market Segmentation
By Tools
Machine learning dominates the AI tools used in healthcare, segmented into deep learning, supervised learning, reinforcement learning, unsupervised learning, and other techniques. Among these, deep learning holds the largest market share in 2024 due to its ability to process vast amounts of unstructured data such as electronic health records (EHR), medical imaging, and genomics.
Deep learning enhances disease diagnosis and prediction accuracy, making it a key factor in advancing diagnostic tools and predictive analytics. As computational power and data availability grow, deep learning will continue to drive the development of next-generation healthcare technologies.
By End User
The AI in healthcare market segments users into healthcare providers, healthcare payers, patients, and others. Healthcare providers currently represent the largest share, reflecting increased hospital budgets aimed at improving care quality and reducing costs.
By Geography
The market is divided into North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa. The Asia Pacific region is expected to experience substantial growth due to demographic changes, technology adoption, and investment in innovation.
The region's growing elderly population drives demand for advanced healthcare solutions addressing chronic and age-related conditions. AI applications in predictive analytics, telemedicine, medical imaging, and patient management are helping to improve access, diagnostic accuracy, and operational efficiency.
Key Players in AI Healthcare
Leading companies in this market include Koninklijke Philips N.V. (Netherlands), Microsoft Corporation (US), Siemens Healthineers AG (Germany), NVIDIA Corporation (US), Epic Systems Corporation (US), GE Healthcare (US), Medtronic (US), Oracle (US), Veradigm LLC (US), Merative (IBM) (US), Google (US), Cognizant (US), Johnson & Johnson (US), and Amazon Web Services, Inc. (US).
These companies focus on strategies like product launches, updates, expansions, partnerships, collaborations, mergers, and acquisitions to enhance their presence and capabilities in AI healthcare.
Koninklijke Philips N.V. (Netherlands)
Philips is a key player using AI in diagnostic imaging, patient monitoring, and precision medicine. Its AI-driven platform, Philips HealthSuite, integrates and analyzes clinical data to support personalized treatments and improve outcomes.
Growth strategies include partnerships and collaborations. For example, in February 2025, Philips partnered with Medtronic to train over 300 cardiologists and radiologists in India on advanced imaging for structural heart diseases, focusing on modalities like echocardiography and MRI, especially for End-Stage Renal Disease (ESRD) patients.
In November 2023, Philips and NYU Langone Health collaborated on patient safety and outcomes by integrating digital pathology, clinical informatics, and AI diagnostics for real-time clinical collaboration. Philips also extended its reach by partnering with Mandaya Royal Hospital Puri in Jakarta in 2022 to digitally transform healthcare services.
Microsoft Corporation (US)
Microsoft provides AI-powered software and tools to improve patient outcomes and healthcare operations. Its Azure-based AI solutions support medical imaging, genomics, and precision medicine applications.
The Azure AI Model Catalog enables hospitals and researchers to build and deploy custom AI models efficiently. Microsoft's acquisition of Nuance enhances its clinical and diagnostic AI tools, supporting healthcare decision-making.
In March 2025, Microsoft launched Microsoft Dragon Copilot, the first unified voice AI assistant in healthcare, helping clinicians streamline clinical documentation, access information, and automate tasks.
The company's R&D investment focuses on machine learning, deep learning, natural language processing (NLP), and speech processing. Microsoft also supports computational biology projects related to precision healthcare, genomics, and molecular biologics, operating globally through its Azure cloud infrastructure.
For healthcare professionals interested in expanding their AI knowledge, exploring specialized courses can be valuable. Resources like Complete AI Training's healthcare courses offer practical insights into AI applications tailored for healthcare roles.
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