US AI in Healthcare Market Size, Growth, Share & Trends Analysis
The US artificial intelligence (AI) in healthcare market, valued at US$5.98 billion in 2024, stood at US$8.65 billion in 2025 and is projected to advance at a resilient CAGR of 38.0% from 2025 to 2030, culminating in a forecasted valuation of US$43.30 billion by the end of the period.
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- By offering, the integrated solutions segment is expected to register the highest CAGR of 39.7% during the forecast period.
- By function, the diagnosis & early detection segment is projected to grow at the fastest rate from 2025 to 2030.
- By application, the clinical applications segment accounted for the largest share (77.2%) of the US artificial intelligence (AI) in healthcare market.
- By deployment model, the cloud-based models segment is expected to register the highest growth rate during the forecast period, at a CAGR of 41.2%.
- By tool, the machine learning segment is expected to dominate the market, growing at the highest CAGR.
- By end user, the healthcare providers segment accounted for the largest share of the US artificial intelligence (AI) in healthcare market in 2024.
- Microsoft Corporation, NVIDIA Corporation, and GE Healthcare were identified as key players in the US artificial intelligence (AI) in healthcare market, given their strong market share and extensive product footprint.
- Qventus, Qure.AI, and Numerion Labs have distinguished themselves among startups and SMEs by securing strong footholds in specialized niche areas, underscoring their potential as emerging market leaders.
The artificial intelligence (AI) in healthcare market in US is experiencing rapid growth as the country faces mounting clinician shortages, rising healthcare costs, and an increasing administrative burden. US health systems are aggressively adopting AI for imaging, population health, revenue optimization, and clinical documentation to counter efficiency gaps. Federal initiatives supporting AI safety, reimbursement modernization, and EHR interoperability are further fueling the adoption of these technologies.
