US Artificial Intelligence (AI) in Healthcare Market worth $43.30 billion by 2030
The Report "US Artificial Intelligence (AI) in Healthcare Market by Offering (Integrated), Function (Diagnosis, Genomic, Precision Medicine, Radiation, Immunotherapy, Pharmacy, Supply Chain), Application (Clinical), End User (Hospitals) - Forecast to 2030" is projected to grow from USD 8.65 billion in 2025 and to reach USD 43.30 billion by 2030, at a Compound Annual Growth Rate (CAGR) of 38.0% during the forecast period.
Browse 120 market data Tables and 50 Figures spread through 121 Pages and in-depth TOC on "US Artificial Intelligence (AI) in Healthcare Market by Offering (Integrated), Function (Diagnosis, Genomic, Precision Medicine, Radiation, Immunotherapy, Pharmacy, Supply Chain), Application (Clinical), End User (Hospitals) - Forecast to 2030"
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The demand for AI-enabled compliance and audit solutions in the US is increasing as hospitals face stricter oversight under CMS quality programs, Joint Commission standards, and state reporting requirements. The consolidation of hospitals is prompting larger health systems to standardize AI-supported workflows across their newly merged networks. Additionally, the expansion of hospital-at-home reimbursement models by CMS is driving the need for AI-based remote diagnostics and escalation alerts. The growth of self-insured employer health plans, which cover over 150 million Americans, is also fueling investments in AI platforms for care navigation, chronic disease management, and cost containment analytics.
“The healthcare providers segment accounted for the largest share of the US artificial intelligence (AI) in healthcare market in 2024, by end user.”
Based on end user, the market is segmented into healthcare providers, healthcare payers, patients, and other end users. In 2024, healthcare providers held the largest share of the market, as large US health systems are rapidly deploying AI-enabled imaging suites, clinical documentation solutions, and operational optimization platforms. Providers continue to adopt AI at a faster rate than other end-user groups because workforce shortages, combined with rising patient volumes, are creating sustained pressure to improve throughput in radiology, emergency care, and inpatient services. The ongoing integration of AI into major EHR environments, led by vendors such as Microsoft and Philips, is accelerating provider uptake as intelligence is integrated directly into daily clinical workflows.
“The clinical applications segment is expected to register the fastest growth in the US artificial intelligence (AI) in healthcare market during the forecast period.”
Based on application, the market is segmented into clinical applications and non-clinical applications. In 2024, clinical applications held the largest share, as US hospitals expanded AI use in high-acuity workflows, such as sepsis prediction, ICU deterioration alerts, radiology triage, and cardiology image quantification. Health systems are deploying AI-supported stroke routing, diabetic retinopathy screening, and oncology treatment planning tools to reduce diagnostic bottlenecks, which helps them meet time-sensitive quality metrics tied to reimbursement. The rapid adoption of AI in clinical quality dashboards and real-time command centers, as well as specialty care pathways, strengthens the dominance of clinical use cases across US provider networks.
“The cloud-based models segment is expected to show the fastest growth in the US artificial intelligence (AI) in healthcare market during the forecast period.”
Based on deployment mode, the market is segmented into on-premises, cloud-based, and hybrid models. Cloud-based deployment is expected to grow at the fastest rate because US hospitals are shifting imaging workloads, ambient documentation engines, and predictive analytics pipelines to cloud environments to meet rising compute needs. Health systems using virtual nursing or hospital-at-home programs, as well as cross-site clinical command centers, rely on cloud-hosted AI models for real-time coordination. The expansion of nationwide interoperability frameworks, along with payer data submission requirements, is pushing providers toward cloud architectures that can aggregate or process multi-facility datasets without local capacity limits.
Key Players
The report profiles key players such as Microsoft Corporation (US), Oracle (US), Siemens Healthineers AG (Germany), Google (US), NVIDIA Corporation (US), Epic Systems Corporation (US), Koninklijke Philips N.V. (Netherlands), GE Healthcare (US), Medtronic (US), Veradigm LLC (US), Merative (IBM) (US), Cognizant (US), Johnson & Johnson (US), and Amazon Web Services, Inc. (US), among others.
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