United States AI in Medical Imaging Market Insight
Published: 02 June 2026 | Report Format: Electronic (PDF)
The United States AI in Medical Imaging Market is projected to grow at a CAGR of around 27.6%, driven by increasing adoption of AI-powered diagnostic imaging solutions, rising demand for early disease detection, expanding radiology workflow automation, and advancements in deep learning-based image analysis technologies.
United States AI in Medical Imaging Market Forecasts to 2035
- The United States AI in Medical Imaging Market Size Was Estimated at USD 2.9 Billion in 2025.
- The Market Size is Expected to Grow at a CAGR of around 27.6% from 2025 to 2035.
- The United States AI in Medical Imaging Market Size is Expected to Reach around USD 33.1 Billion by 2035.
Notable Insights for the United States AI in Medical Imaging Market
- Segmentation Based on Component, Software Solutions, Services, and Platforms segments held the dominant position in the United States AI in Medical Imaging Market in 2025, with nearly 74% share, driven by increasing adoption of AI-powered image analysis, diagnostic support, workflow automation, and advanced imaging software technologies.
- Segmentation Based on Application, Radiology, Oncology Imaging, Cardiology Imaging, Neurology Imaging, and Diagnostic Screening segments collectively held a dominant position in the market, capturing approximately 81% share in 2025, supported by rising demand for accurate diagnostics, early disease detection, and enhanced clinical decision-making.
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- The United States AI in Medical Imaging Market is driven by GE HealthCare, Siemens Healthineers, and Philips Healthcare, with combined revenues exceeding USD 75 billion in 2025. The market is expected to grow at a CAGR of 27.6%.
- Increasing adoption of AI-powered image analysis, radiology workflow automation, and diagnostic decision-support solutions is expected to drive market expansion, where AI platforms improve diagnostic accuracy by nearly 34% and reduce image interpretation time by approximately 29%.
Research Methodologies Used to Analyze the United States AI in Medical Imaging Market
Research Methodologies Used to Analyze the United States AI in Medical Imaging Market include a combination of primary and secondary research approaches to ensure accurate market insights and growth forecasts. Primary research involves interactions with AI imaging software providers, medical imaging equipment manufacturers, radiologists, healthcare providers, diagnostic centers, and industry experts to evaluate technology adoption trends and clinical demand. Secondary research includes analysis of company reports, industry publications, healthcare databases, regulatory sources, academic journals, and market studies. Market forecasting models, competitive benchmarking, technology assessments, and trend analysis are further utilized to examine market growth, innovation developments, and emerging opportunities across radiology, oncology imaging, cardiology imaging, neurology imaging, and diagnostic screening applications.
Decisions Advisors Research Methodology: Trusted Insights for Strategic Decision-Making
What is Decisions Advisors Research?
Decisions Advisors research delivers comprehensive market intelligence through detailed industry analysis, competitive benchmarking, trend forecasting, and data-driven business insights. Our research methodology combines advanced analytical frameworks with extensive primary and secondary research to help organizations make informed and strategic business decisions.
Competitive Analysis:
The report offers the appropriate analysis of the key organizations/companies involved within the United States ai in medical imaging market, along with a comparative evaluation primarily based on their product of offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborative analysis focusing on the current news and developments of the companies, which includes product development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market.
Top Companies in United States AI in Medical Imaging Market
- GE HealthCare
- Siemens Healthineers
- Philips Healthcare
- Fujifilm Healthcare Americas
- Canon Medical Systems USA
- Aidoc
- Viz.ai
- Arterys
- Butterfly Network
- RadNet AI (DeepHealth)
Recent Developments:
- In October 2025, GE HealthCare launched an advanced AI-powered medical imaging platform designed to enhance diagnostic accuracy, automate image analysis workflows, support radiologists in clinical decision-making, and improve operational efficiency across healthcare facilities in the United States.
- In July 2025, Siemens Healthineers collaborated with Microsoft Corporation to integrate artificial intelligence and cloud-based imaging analytics into radiology workflows, enabling faster image interpretation, improved diagnostic insights, and enhanced healthcare delivery for medical providers across the United States.
Market Segmentation:
United States AI in Medical Imaging Market, By Component
- Software Solutions
- Services
- Platforms
- Consulting & Implementation Services
- Support & Maintenance Services
United States AI in Medical Imaging Market, By Technology
- Machine Learning (ML)
- Deep Learning
- Computer Vision
- Natural Language Processing (NLP)
- Predictive Analytics
United States AI in Medical Imaging Market, By Application
- Radiology Imaging
- Oncology Imaging
- Cardiology Imaging
- Neurology Imaging
- Diagnostic Screening & Early Disease Detection
United States AI in Medical Imaging Market, By End User
- Hospitals & Health Systems
- Diagnostic Imaging Centers
- Ambulatory Care Centers
- Research & Academic Institutions
- Specialty Clinics & Healthcare Providers
Expert Views:
The United States AI in Medical Imaging Market is positioned for substantial growth, driven by increasing integration of artificial intelligence into diagnostic workflows, rising demand for precision medicine, and continuous advancements in imaging analytics. Strong investments from leading healthcare technology providers, expanding clinical applications, and growing emphasis on early disease detection are expected to accelerate adoption, making AI-enabled imaging a critical component of the future healthcare ecosystem.
Author: Govind and Krishna By Spherical Insights and Consulting