The AI in medical imaging market size is expected to reach USD 19,400.53 million by 2034, according to a new study by Polaris Market Research. The report “Artificial Intelligence (AI) in Medical Imaging Market Size, Share, Trends, Industry Analysis Report: By Technology [Deep Learning, Natural Language Processing (NLP), and Other], Application, Modalities, End Use, and Region (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa) – Market Forecast, 2025–2034” gives a detailed insight into current market dynamics and provides analysis on future market growth.
The artificial intelligence in medical imaging market growth is driven by the increasing demand for accurate diagnostics, reduced human error, and improved workflow efficiency. Key drivers include advancements in machine learning algorithms, growing healthcare data, and the increasing adoption of AI-based solutions for disease detection, particularly in oncology, neurology, and cardiology. AI in medical imaging market opportunities lie in the development of AI-powered diagnostic tools for early disease detection, personalized medicine, and point-of-care solutions.
The market is also benefiting from trends such as cloud-based AI platforms, real-time image analysis, and the integration of AI with electronic health records (EHR). Additionally, as AI technologies gain regulatory approvals and become more widely accepted, the market is expected to continue expanding, offering innovative solutions to meet the growing demand for enhanced medical imaging capabilities.
Artificial Intelligence (AI) in Medical Imaging Market Report Highlights:
Based on technology, the deep learning segment dominates the AI in medical imaging market share, owing to advancements in image analysis and pattern recognition. It is also the fastest-growing segment due to its ability to enhance diagnostic accuracy and automation.
The breast screening segment, by application, holds the largest market share, driven by the growing demand for early cancer detection and the widespread adoption of AI-powered mammography systems. This segment continues to expand due to increasing awareness and screening programs.
In terms of modalities, the CT scan segment leads the artificial intelligence in medical imaging market revenue share, owing to its broad use in diagnosing a variety of conditions such as trauma, cancer, and cardiovascular diseases. It remains dominant due to advancements in AI that improve scanning speed and accuracy.
The hospitals segment, by end use, holds the largest market share, driven by the high volume of imaging procedures and the integration of advanced diagnostic technologies. They also lead due to their access to greater resources and infrastructure.
North America dominates the market, supported by its advanced healthcare infrastructure and early adoption of AI technologies. However, the Asia Pacific market is registering the highest growth, driven by increasing healthcare investments, improving infrastructure, and the rising demand for affordable diagnostic solutions.
Polaris Market Research has segmented the artificial intelligence (AI) in medical imaging market report on the basis of technology, application, modalities, end use, and region:
By Technology Outlook (Revenue – USD Billion, 2020–2034)
Deep Learning
Natural Language Processing (NLP)
Other
By Application Outlook (Revenue – USD Billion, 2020–2034)
Neurology
Respiratory & Pulmonary
Cardiology
Breast Screening
Orthopedics
Others
By Modalities Outlook (Revenue – USD Billion, 2020–2034)
CT Scan
MRI
X-rays
Ultrasound
Nuclear Imaging
By End Use Outlook (Revenue – USD Billion, 2020–2034)
Hospitals
Diagnostic Imaging Centers
Others
By Regional Outlook (Revenue – USD Billion, 2020–2034)
North America
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