PUBLISHER: The Business Research Company | PRODUCT CODE: 1969985
PUBLISHER: The Business Research Company | PRODUCT CODE: 1969985
AI in medical imaging refers to the utilization of disruptive technology that employs computer algorithms for image analysis. This application of artificial intelligence is designed to support healthcare professionals in the diagnosis of a diverse range of medical conditions. It plays a crucial role in enhancing the accuracy, efficiency, and speed of image interpretation, providing valuable assistance to radiologists and healthcare practitioners in making accurate diagnoses.
The primary types of technologies employed in AI in medical imaging include deep learning, natural language processing (NLP), and other related technologies. Deep learning, a subfield of artificial intelligence and machine learning, focuses on training deep neural networks to learn and make predictions or decisions based on extensive datasets. AI in medical imaging encompasses a range of modalities, including computed tomography (CT) scans, magnetic resonance imaging (MRI), X-rays, ultrasound, and nuclear imaging. The applications of AI in medical imaging span various medical fields such as digital pathology, oncology, cardiovascular, neurology, lung (respiratory system), breast (mammography), liver (GI), oral diagnostics, and more. The primary end-users of AI in medical imaging are hospitals, diagnostic imaging centers, and other healthcare facilities.
Tariffs have impacted the AI in medical imaging market by increasing prices of imported imaging scanners, processors, and hardware accelerators. These effects are prominent in ct, mri, and x-ray modalities across hospitals and imaging centers. Asia pacific and europe are more affected due to dependence on cross-border equipment supply. Rising costs have pushed providers toward software-centric AI imaging solutions. This transition has improved accessibility and long-term cost efficiency.
The AI in medical imaging market research report is one of a series of new reports from The Business Research Company that provides AI in medical imaging market statistics, including AI in medical imaging industry global market size, regional shares, competitors with a AI in medical imaging market share, detailed AI in medical imaging market segments, market trends and opportunities, and any further data you may need to thrive in the AI in medical imaging industry. This AI in medical imaging market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The AI in medical imaging market size has grown exponentially in recent years. It will grow from $3.79 billion in 2025 to $5.29 billion in 2026 at a compound annual growth rate (CAGR) of 39.5%. The growth in the historic period can be attributed to rising medical imaging procedures, need for diagnostic accuracy, growth of radiology departments, digitization of imaging systems, increased healthcare spending.
The AI in medical imaging market size is expected to see exponential growth in the next few years. It will grow to $20.28 billion in 2030 at a compound annual growth rate (CAGR) of 39.9%. The growth in the forecast period can be attributed to expansion of ai-enabled radiology tools, shortage of radiologists, demand for faster diagnosis, adoption of cloud imaging platforms, growth of oncology and cardiology imaging. Major trends in the forecast period include ai-assisted image interpretation, deep learning-based imaging analysis, workflow automation in radiology, real-time imaging decision support, advanced image reconstruction techniques.
The rising prevalence of chronic diseases is anticipated to drive the expansion of the AI in medical imaging market in the coming years. Chronic diseases are long-term health conditions that typically last for three months or longer. The application of AI in medical imaging for chronic conditions supports improved diagnostics, early intervention, and personalized treatment strategies by utilizing advanced image analysis algorithms, enabling early identification, precise characterization, and effective management of chronic illnesses to enhance patient outcomes. For instance, in September 2023, according to the World Health Organization (WHO), a Switzerland-based intergovernmental organization, chronic diseases were responsible for 41 million deaths globally each year, representing 74% of total deaths. This total included 17.9 million deaths from cardiovascular diseases, 9.3 million from cancer, 4.1 million from chronic respiratory diseases, and 2.0 million from diabetes. Hence, the increasing burden of chronic diseases is fueling the growth of the AI in medical imaging market.
Major companies operating in the AI in medical imaging market are concentrating on developing advanced solutions such as cloud-native radiology operating systems to improve diagnostic precision and workflow efficiency. A cloud-native radiology operating system combines imaging data, clinical processes, and AI tools into a single integrated platform that enables faster and more accurate diagnoses. For instance, in February 2025, DeepHealth, a US-based company, introduced new AI-enabled radiology informatics and population screening solutions powered by its DeepHealth OS system. This launch featured the Diagnostic Suite, which modernizes conventional imaging systems through a unified AI-driven workspace that integrates patient information, reporting, and visualization tools for radiologists. It also included SmartMammo, a comprehensive diagnostic SaaS solution for mammography that boosts cancer detection rates and enhances workflow integration. The suite further supports AI-based screening for lung, prostate, and brain health, enabling quicker diagnostic interpretation and stronger clinical confidence. These developments highlight how DeepHealth is improving operational efficiency and advancing precision care across radiology practices.
In January 2023, Bayer AG, a German pharmaceutical and biotechnology company, successfully acquired Blackford Analysis Ltd. for an undisclosed amount. This strategic acquisition was driven by Bayer AG's objective to advance the development of new AI-powered solutions for medical imaging, with the aim of accelerating the adoption of AI and gaining a competitive edge in the healthcare industry. Blackford Analysis Ltd., based in the UK, is a software company specializing in providing technological solutions for AI in medical imaging.
Major companies operating in the AI in medical imaging market are Siemens Healthineers AG; GE HealthCare Technologies Inc.; Koninklijke Philips NV; Lunit Inc.; DeepMind; Viz.AI Inc.; Aidoc; AZmed; Digital Diagnostics Inc.; Butterfly Network Inc.; Cleerly; Behold.ai; Enlitic; Nano-X Imaging Ltd.; Arterys; Caption Health; EchoNous Inc.; Gleamer; CellmatiQ GmbH; Mediwhale
North America was the largest region in the AI in medical imaging market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI in medical imaging market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the AI in medical imaging market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain
The AI in the medical imaging market consists of revenues earned by entities by providing computer-aided diagnosis (CAD), image segmentation and annotation, image reconstruction and enhancement, and quantitative image analysis services. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in the medical imaging market also includes sales of PET scan machines, angiography devices, echocardiogram devices, clinical decision support systems, and imaging modalities which are used in providing AI in medical imaging services. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
AI In Medical Imaging Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses AI in medical imaging market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for 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, including technological disruption, regulatory shifts, and changing consumer preferences? The 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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
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