Us Artificial Intelligence in the Medical Imaging Market Size By Applications, By Type, By End-User, By Deployment & By Technology 2032
Artificial Intelligence in the Medical Imaging Market was valued at USD 2.1 Billion in 2022 and is projected to reach USD 12.4 Billion by 2030, growing at a CAGR of 22.6% from 2024 to 2030.
Artificial intelligence (AI) is rapidly transforming the U.S. medical imaging market, revolutionizing radiology workflows, diagnostic accuracy, and patient outcomes. The growing adoption of AI-driven imaging solutions across hospitals and diagnostic centers is reshaping how radiologists analyze complex scans, making early disease detection and precision medicine more effective.
AI in medical imaging is primarily enhancing modalities such as MRI, CT, ultrasound, and X-ray, with key applications including automated anomaly detection, workflow optimization, and predictive analytics. A recent analysis found that larger hospitals with 400+ beds have an early adopter rating of 3.3 out of 5, compared to 2.6 for smaller institutions. The top priorities for AI adoption include improving image quality (51%) and advancing precise diagnostics (48%).
One of the most significant breakthroughs in AI-powered imaging is its ability to assist in early cancer detection, particularly in breast and lung cancer screenings. AI-supported mammography, for instance, has proven effective in real-world settings, reducing false positives and enhancing detection rates. Additionally, machine learning models combining CT and MRI data can now predict major adverse cardiovascular events, offering critical insights into heart disease risks.
The adoption of AI in imaging is also addressing radiologist burnout by automating tedious tasks such as image processing, patient scheduling, and clinical reporting. The technology's ability to analyze vast datasets in seconds allows radiologists to focus on complex cases, improving efficiency while reducing diagnostic errors.
Regulatory advancements and reimbursement frameworks are becoming crucial factors in accelerating AI adoption. Experts have emphasized the need for CPT codes to ensure AI-based imaging tools receive appropriate reimbursement, enabling wider clinical integration.
Looking ahead, the AI-driven medical imaging sector is expected to expand significantly, with continued innovation in deep learning algorithms, cloud-based imaging platforms, and real-time diagnostics. The market’s evolution closely parallels developments in high-speed data transmission technologies, such as the 100 Gigabit Fiber Optic Transceiver Market, which supports seamless AI-driven imaging workflows.
With AI advancing at an unprecedented pace, the future of medical imaging promises enhanced diagnostic precision, improved patient outcomes, and a more efficient radiology ecosystem.
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NVIDIA Corporation
GE Healthcare
Siemens
Aidoc
3Scan
Agfa Healthcare
Arterys
Butterfly Network
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EchoNous
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Enlitic
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IBM Corporation
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By the year 2030, the scale for growth in the market research industry is reported to be above 120 billion which further indicates its projected compound annual growth rate (CAGR), of more than 5.8% from 2023 to 2030. There have also been disruptions in the industry due to advancements in machine learning, artificial intelligence and data analytics There is predictive analysis and real time information about consumers which such technologies provide to the companies enabling them to make better and precise decisions. The Asia-Pacific region is expected to be a key driver of growth, accounting for more than 35% of total revenue growth. In addition, new innovative techniques such as mobile surveys, social listening, and online panels, which emphasize speed, precision, and customization, are also transforming this particular sector.
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Growing demand for below applications around the world has had a direct impact on the growth of the Global Artificial Intelligence in the Medical Imaging Market
Machine Learning
Deep Learning
Natural Language Processing
Computer Vision
X-ray Imaging
Magnetic Resonance Imaging (MRI)
Computed Tomography (CT)
Ultrasound Imaging
Nuclear Medicine Imaging
Oncology
Cardiology
Neurology
Orthopedics
Hospitals
Diagnostic Imaging Centers
Research Institutions
Clinics
On-Premise
Cloud-Based
Hybrid Solutions
Global (United States, Global and Mexico)
Europe (Germany, UK, France, Italy, Russia, Turkey, etc.)
Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
South America (Brazil, Argentina, Columbia, etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
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1. Introduction of the Global Artificial Intelligence in the Medical Imaging Market
Overview of the Market
Scope of Report
Assumptions
2. Executive Summary
3. Research Methodology of Verified Market Reports
Data Mining
Validation
Primary Interviews
List of Data Sources
4. Global Artificial Intelligence in the Medical Imaging Market Outlook
Overview
Market Dynamics
Drivers
Restraints
Opportunities
Porters Five Force Model
Value Chain Analysis
5. Global Artificial Intelligence in the Medical Imaging Market, By Type
6. Global Artificial Intelligence in the Medical Imaging Market, By Application
7. Global Artificial Intelligence in the Medical Imaging Market, By Geography
Global
Europe
Asia Pacific
Rest of the World
8. Global Artificial Intelligence in the Medical Imaging Market Competitive Landscape
Overview
Company Market Ranking
Key Development Strategies
9. Company Profiles
10. Appendix
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