Us AI In Medical Imaging Market Size By Applications, By Type, By End-User, By Deployment & By Technology 2032
AI In Medical Imaging Market was valued at USD 2.5 Billion in 2022 and is projected to reach USD 11.3 Billion by 2030, growing at a CAGR of 20.6% from 2024 to 2030.
The integration of artificial intelligence (AI) into medical imaging is revolutionizing healthcare in the United States. In 2023, the U.S. AI in medical imaging market was valued at approximately USD 395 million and is projected to reach USD 2.93 billion by 2030, growing at a compound annual growth rate (CAGR) of 33.2%. citeturn0search0
Deep learning technologies lead this surge, accounting for 58.6% of the market share in 2023. Their ability to analyze complex datasets enhances diagnostic accuracy, particularly in neurological applications, which dominated with a 37.9% share. The demand for precise imaging in neurology has propelled AI adoption, improving patient outcomes through early and accurate detection. citeturn0search0
Breast cancer screening is another area experiencing significant AI-driven advancements. AI-assisted mammography utilizes deep learning algorithms to analyze images, potentially reducing error rates associated with traditional methods. However, challenges such as insurance coverage and ensuring diverse training datasets for AI models persist. citeturn0news21
Hospitals remain the primary end-users of AI in medical imaging, comprising 52.8% of the market share in 2023. The integration of AI tools in hospital settings streamlines workflows, reduces diagnostic errors, and enhances patient care. For instance, AI algorithms have achieved up to 95% accuracy in detecting breast cancer through mammograms, significantly improving early diagnosis rates. citeturn0search3
The computed tomography (CT) scan modality holds the largest segment share at 35.2%, with AI enhancing image analysis and facilitating quicker, more accurate diagnoses. X-rays are also witnessing rapid AI integration, projected to grow at a CAGR of 37.1%, reflecting the technology's expanding applicability across various imaging modalities. citeturn0search3
Government initiatives further bolster AI adoption in medical imaging. The U.S. General Services Administration's Applied AI Healthcare Challenge encourages innovative AI solutions to enhance medical care quality, addressing areas like mental health, addiction, and cancer detection. citeturn0search0
Leading companies such as GE HealthCare, Microsoft, and Digital Diagnostics Inc. are at the forefront of this transformation, developing AI-powered tools that enhance diagnostic precision and efficiency. Collaborations, like the partnership between Microsoft and Paige to develop extensive AI models for digital pathology, exemplify efforts to revolutionize cancer diagnosis and patient care. citeturn0search0
In summary, the U.S. AI in medical imaging market is experiencing rapid growth, driven by advancements in deep learning technologies, significant applications in neurology and breast screening, and supportive government initiatives. As AI continues to evolve, its integration into medical imaging promises to enhance diagnostic accuracy, streamline workflows, and improve patient outcomes across the healthcare spectrum.
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General Electric
IBM Watson Health
Philips Healthcare
SAMSUNG
Medtronic
EchoNous
Enlitic
Siemens Healthcare
Intel
NVIDIA
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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 AI In Medical Imaging Market
Machine Learning
Deep Learning
Natural Language Processing
Computer Vision
X-ray Imaging
Magnetic Resonance Imaging (MRI)
Computed Tomography (CT)
Ultrasound
Nuclear Imaging
Hospitals
Diagnostic Imaging Centers
Research Institutes
Home Healthcare
On-Premises
Cloud-based
Hybrid
AI-Integrated Imaging Equipment
Image Processing Software Solutions
AI-Enabled Clinical Decision Support Systems
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 AI In 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 AI In Medical Imaging Market Outlook
Overview
Market Dynamics
Drivers
Restraints
Opportunities
Porters Five Force Model
Value Chain Analysis
5. Global AI In Medical Imaging Market, By Type
6. Global AI In Medical Imaging Market, By Application
7. Global AI In Medical Imaging Market, By Geography
Global
Europe
Asia Pacific
Rest of the World
8. Global AI In Medical Imaging Market Competitive Landscape
Overview
Company Market Ranking
Key Development Strategies
9. Company Profiles
10. Appendix
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