United States AI in Healthcare Market to Grow with a CAGR of 41.20% through 2030
Rising
demand for personalized medicine supported by AI algorithms and expansion of
remote patient monitoring solutions, is expected to
drive the United States AI in Healthcare Market growth in the forecast period, 2026-2030
According to
TechSci Research report, “United States AI in Healthcare Market – By Region
and Competition, Forecast & Opportunities, 2030F”, the United States AI
in Healthcare Market was valued at USD
10.82 Billion in 2024 and is expected to reach USD 85.84 Billion by
2030 with a CAGR of 41.20% through forecast period. The United States AI in Healthcare
Market is progressing due to a growing focus on value-based care and the demand
for precision medicine. As healthcare shifts from volume to value, AI
technologies are being incorporated to improve patient outcomes, minimize
errors, and reduce costs. AI's ability to personalize treatment plans based on
genetic, lifestyle, and historical data is reshaping how care is delivered.
From clinical documentation automation to AI-powered chatbots for patient
engagement, hospitals and healthcare providers are adopting digital tools to
optimize resources. Payers and insurers are also leveraging AI to detect fraud,
predict patient risks, and enhance claims management, further boosting market
expansion.
Emerging
trends include the integration of generative AI in medical research and
education, the adoption of computer vision for surgical assistance, and the use
of AI in managing healthcare supply chains. Pharmaceutical companies are
increasingly using AI to accelerate clinical trials, optimize drug repurposing,
and manage real-world evidence. AI tools are also playing a pivotal role in
mental health monitoring through sentiment analysis and behavioral pattern
recognition. As healthcare ecosystems become more interconnected, AI is
enabling real-time data sharing across platforms, improving collaborative care.
The use of edge AI in remote patient monitoring and the evolution of virtual
nursing assistants are gaining traction in outpatient and home care settings.
There
are abundant growth opportunities in expanding AI solutions for underserved
healthcare segments such as rural health services and elderly care. With a
significant portion of the U.S. population aging, AI-powered solutions that
support geriatric diagnostics, fall detection, medication adherence, and remote
monitoring will experience increasing demand. Startups focused on niche AI
applications like rare disease identification or pediatric care have room for
high-impact growth. The government's support for AI research and pilot programs
in Medicaid and Medicare settings further opens avenues for scalable
implementation. Collaborations between academic institutions, tech companies,
and healthcare systems can also accelerate innovation and foster widespread AI
adoption in the evolving U.S. healthcare landscape.
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The United
States AI in Healthcare Market is segmented into component, application, technology,
end user, regional distribution, and company.
Based on the Technology,
Natural Language Processing emerged as the fastest growing segment in the United
States AI in Healthcare Market during the forecast period. This is due to its
transformative impact on healthcare data interpretation and clinical
decision-making. The U.S. healthcare ecosystem generates vast volumes of
unstructured data from electronic health records (EHRs), physician notes,
clinical trial reports, pathology results, and radiology summaries. NLP enables
healthcare providers to convert this unstructured information into structured,
actionable insights, improving clinical workflows, diagnostics, and patient
care outcomes. The growing need to streamline documentation, reduce
administrative burden, and enhance physician productivity has fueled the rapid
integration of NLP tools across hospitals and healthcare systems. NLP is also
playing a critical role in voice recognition for medical transcription, patient
engagement through virtual health assistants, and predictive analytics for
population health management.
Based
on the Region, West emerged as the fastest growing region in the United
States AI in Healthcare Market during
the forecast period. This is due to its concentration of technology hubs,
innovative healthcare institutions, and strong venture capital ecosystem.
States like California, Washington, and Oregon are home to leading tech
companies, research institutions, and start-ups actively developing AI-driven
healthcare applications, ranging from diagnostics and imaging to virtual health
assistants and robotic surgeries. The presence of Silicon Valley has played a
pivotal role in fostering partnerships between AI developers and healthcare
providers, leading to accelerated adoption of advanced AI tools in clinical
settings. Healthcare systems in the West have shown early enthusiasm in
integrating AI into electronic health records, population health analytics, and
precision medicine.
Major
companies operating in United States AI in Healthcare Market are:
- Microsoft
- NVIDIA
Corporation
- Epic
Systems Corporation
- GE
Healthcare
- Medtronic
- Oracle
- Veradigm
LLC
- Google
- Cognizant
- Amazon
Web Services, Inc.
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“The United States AI in Healthcare
Market is expanding due to the increasing integration of AI-driven clinical
decision support systems (CDSS) across healthcare institutions, which are
helping physicians analyze complex patient data in real time to make faster,
more accurate diagnoses and treatment decisions. These systems are particularly
gaining traction in emergency care and chronic disease management, where timely
decisions can significantly impact patient outcomes. With the rising burden of
chronic diseases and physician burnout, hospitals are turning to AI to enhance
diagnostic precision, reduce errors, and streamline care workflows. This
adoption is supported by favorable federal initiatives encouraging the
digitization of healthcare and the implementation of advanced analytics tools
to improve care delivery and cost efficiency.,” said Mr.
Karan Chechi, Research Director of TechSci Research, a research-based
management consulting firm.
“United States AI in
Healthcare Market By Component (Hardware, Software, Services), By Application
(Robot-assisted Surgery, Virtual Assistants, Administrative Workflow
Assistants, Connected Medical Devices, Medical Imaging & Diagnostics,
Clinical Trials, Cybersecurity, Precision Medicine, Drug Discovery &
Development, Wearables, Others), By Technology (Machine Learning, Natural
Language Processing, Context-aware Computing, Computer Vision), By End User
(Healthcare Providers, Healthcare Payers, Healthcare Companies, Patients,
Others), By Region, Competition, Forecast & Opportunities, 2020-2030F”,
has evaluated the future growth potential of United States AI in Healthcare
Market and provides statistics & information on market size, structure and
future market growth. The report intends to provide cutting-edge market
intelligence and help decision makers take sound investment decisions. Besides,
the report also identifies and analyzes the emerging trends along with
essential drivers, challenges, and opportunities in United States AI in
Healthcare Market.
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