PUBLISHER: The Business Research Company | PRODUCT CODE: 2070263
PUBLISHER: The Business Research Company | PRODUCT CODE: 2070263
Artificial Intelligence (AI) in medical imaging refers to the use of advanced computational algorithms and intelligent systems to analyze medical images and assist healthcare professionals in diagnosing, monitoring, and treating diseases. Medical imaging technologies such as computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, and nuclear imaging generate large volumes of visual data that require accurate interpretation. AI technologies, including machine learning, deep learning, natural language processing and computer vision, are increasingly integrated into imaging workflows to automate image analysis, detect abnormalities, improve diagnostic accuracy, and enhance clinical decision-making.
The artificial intelligence in medical imaging market consists of sales of AI in medical imaging by entities (organizations, sole traders and partnerships) that is used by radiologists, pathologists, clinicians, imaging technicians, and healthcare institutions to improve diagnostic efficiency, reduce human error, and enable earlier detection of diseases. AI in medical imaging is commonly used in hospitals, diagnostic imaging centers, research laboratories, and specialty clinics where imaging procedures are performed regularly as part of patient care.
The global artificial intelligence in medical imaging market was valued at $639.2 million in 2020 which grew till 2025 at a compound annual growth rate (CAGR) of more than 37.00%.
Rising Trauma And Road-Traffic Accident Rates
During the historic period, the rising trauma and road-traffic accident rate supported the growth of the artificial intelligence (AI) in medical imaging market. Increasing trauma incidents significantly raised the demand for rapid diagnostic imaging, particularly X-rays and computed tomography scans used to detect fractures, internal bleeding and chest injuries in emergency settings. As emergency departments face rising imaging workloads, artificial intelligence-enabled medical imaging tools assist radiologists by automatically identifying critical findings, prioritizing urgent scans and accelerating image interpretation. These capabilities improve diagnostic efficiency, reduce reporting time and support faster clinical decision-making in high-pressure trauma care environments. For instance, in August 2025, according to early estimates released by the U.S. National Highway Traffic Safety Administration (NHTSA), a US-based Department of Transportation responsible for road safety, an estimated 17,140 people died in motor vehicle crashes during the period from January to June 2025. Additionally, in March 2025, according to the European Commission's road safety statistics, the data showed that around 19,940 people lost their lives in road crashes across the European Union in 2024. Therefore, the rising trauma and road-traffic accident rate drove the artificial intelligence (AI) in medical imaging market.
Advanced Intraoperative Imaging Technologies Enhancing Surgical Oncology Outcomes
Key players operating in the artificial intelligence in medical imaging market are focusing on advancing artificial intelligence-enabled imaging systems that support real-time surgical guidance and improve intraoperative diagnostic accuracy. For instance, in March 2026, Perimeter Medical Imaging AI Inc., a Canada-based medical technology company specializing in artificial intelligence-powered imaging systems, received United States Food and Drug Administration premarket approval for its Claire(TM) system, formerly known as the Perimeter Optical Coherence Tomography B-Series with ImgAssist artificial intelligence 2.0. The wide-field optical coherence tomography imaging system integrates artificial intelligence algorithms trained on more than two million breast tissue images to analyze excised tumor margins during breast cancer surgery and provide high-resolution, real-time visualization of tissue structures. The technology enables surgeons to detect residual cancer cells during procedures, reducing the need for repeat surgeries and improving surgical outcomes. This advancement represents a significant step toward the adoption of artificial intelligence-enabled intraoperative imaging solutions that enhance precision oncology and improve clinical decision-making during surgical interventions.
The global artificial intelligence in medical imaging market is fairly concentrated, with large players operating in the market. The top 10 competitors in the market made up 31.20% of the total market in 2024.
Artificial Intelligence (AI) In Medical Imaging Global Market Opportunities And Strategies To 2035 from The Business Research Company provides the strategists; marketers and senior management with the critical information they need to assess the global artificial intelligence (AI) in medical imaging market as it emerges from the COVID-19 shut down.
Where is the largest and fastest-growing market for artificial intelligence (AI) in medical imaging? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The artificial intelligence (AI) in medical imaging market global report from The Business Research Company answers all these questions and many more.
The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market's history and forecasts market growth by geography. It places the market within the context of the wider artificial intelligence (AI) in medical imaging; and compares it with other markets.