Artificial Intelligence in Medical Imaging Market Report 2026

The artificial intelligence in medical imaging market size has grown exponentially in recent years. It will grow from $4.44 billion in 2025 to $5.82 billion in 2026 at a compound annual growth rate (CAGR) of 31%. The growth in the historic period can be attributed to increasing medical imaging procedure volumes, shortage of skilled radiologists, rising prevalence of chronic and complex diseases, expansion of digital imaging infrastructure, growth of hospital imaging departments.

The artificial intelligence in medical imaging market size is expected to see exponential growth in the next few years. It will grow to $17.19 billion in 2030 at a compound annual growth rate (CAGR) of 31.1%. The growth in the forecast period can be attributed to increasing adoption of ai-powered clinical decision support, rising investments in precision diagnostics, expansion of ai use across multiple imaging modalities, growing demand for faster diagnostic turnaround, increasing integration of ai with hospital information systems. Major trends in the forecast period include increasing adoption of AI-assisted diagnostic imaging tools, rising use of deep learning for image interpretation, growing integration of ai in radiology workflow automation, expansion of AI-based predictive diagnostic models, enhanced focus on early disease detection accuracy.

The increasing use of imaging modalities is expected to drive the growth of AI in the medical imaging market in the coming years. Imaging modalities refer to the various medical imaging techniques employed to visualize the body for diagnostic and therapeutic purposes. AI algorithms are applied in these medical modalities to aid in image reconstruction, noise reduction, and artifact correction, resulting in clearer and more precise CT images. For example, in June 2025, according to the National Health Service, a UK-based government department, 47.2 million imaging tests were reported in England for the year ending March 2024, compared with 45 million in the previous year, marking an increase of 4.8%. Thus, the expanding use of imaging modalities is fueling the growth of AI in the medical imaging market.

Major companies in the AI medical imaging market are creating innovative solutions, such as AI-enabled MRI systems, to enhance patient care. An AI-enabled MRI system is a conventional Magnetic Resonance Imaging (MRI) machine integrated with artificial intelligence (AI) technology. For example, in December 2023, GE Healthcare, a US-based medical technology company, introduced SIGNA Champion, an AI-enabled MRI system. SIGNA Champion is designed to provide multiple AI-powered workflow features like AIR Recon DL and Sonic DL, enhancing efficiency and ensuring high-quality imaging for users of all experience levels. The system’s distinctive combination of ample patient clearance within the bore and reduced scan times.

In December 2023, 4DMedical Limited, an Australia-based medical imaging technology company, acquired Imbio, Inc. for an upfront payment of US $25 million along with contingent earn-outs. With this acquisition, 4DMedical aims to strengthen its AI-driven lung imaging portfolio by incorporating Imbio’s quantitative CT analysis tools for cardiothoracic diseases, allowing for more comprehensive functional and structural lung evaluations. Imbio, Inc. is a US-based provider of AI-powered cardiothoracic CT image analysis solutions utilized for lung disease detection, characterization, and monitoring.

Major companies operating in the artificial intelligence in medical imaging market are Google LLC, Microsoft Corporation, IBM Watson Health, Intel Corporation, NVIDIA Corporation, Siemens Healthineers, Koninklijke Philips N.V, GE Healthcare, Agfa-Gevaert Group/Agfa HealthCare, Aidoc Medical, Arterys Inc., Lunit Inc., Butterfly Network Inc., Digital Diagnostics Inc., Caption Health Inc., EchoNous Inc., Covera Health Inc., Nanox Imaging LTD., AZmed, InformAI LLC, Avicenna AI, ImageBiopsy Lab, Nucleai, Icometrix NV., Gleamer.

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 artificial intelligence 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 artificial intelligence in medical imaging market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs are influencing the artificial intelligence in medical imaging market by increasing costs of imported imaging hardware components, GPUs, high-performance servers, and data processing equipment required for AI model deployment. Hospitals and diagnostic imaging centers in North America and Europe are most affected due to reliance on imported advanced imaging systems, while Asia-Pacific faces higher costs in exporting AI-enabled imaging solutions. These tariffs are increasing capital expenditure requirements and slowing technology upgrades. At the same time, they are encouraging localized assembly of imaging hardware, regional data center development, and increased focus on software-driven AI imaging solutions.

The artificial intelligence in medical imaging market research report is one of a series of new reports that provides artificial intelligence in medical imaging market statistics, including artificial intelligence in medical imaging industry global market size, regional shares, competitors with a artificial intelligence in medical imaging market share, detailed artificial intelligence in medical imaging market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in medical imaging industry. This artificial intelligence 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.

Artificial intelligence (AI) in medical imaging involves the application of AI algorithms to examine medical images and deliver quantitative evaluations of radiographic features. AI can assist in automatically detecting and classifying pulmonary nodules as benign or malignant, which can be lifesaving for many patients. AI can also be applied to generate diagnostic predictions for brain tumors and streamline radiation treatment planning.

The primary modalities of artificial intelligence in medical imaging include computed tomography (CT) scans, magnetic resonance imaging (MRI), x-rays, ultrasound, and nuclear imaging. AI algorithms can improve image quality by reducing noise, enhancing contrast, and optimizing image reconstruction methods. This results in clearer and more detailed images, supporting accurate diagnosis. Deep learning, natural language processing (NLP), and other technologies are applied in neurology, respiratory and pulmonary, cardiology, breast screening, and orthopedic applications by hospitals, diagnostic imaging centers, and other end-users.

The AI in medical imaging market consists of revenues earned by entities by providing services such as image segmentation, computer-aided detection (CAD), image reconstruction, disease classification and diagnosis, predictive analytics, and workflow optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in medical imaging market also includes sales of AI-integrated imaging equipment, AI-based image analysis tools, and AI-powered diagnostic support systems. 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.

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