Artificial Intelligence in Radiology Market Report 2026

The artificial intelligence in radiology market size has grown exponentially in recent years. It will grow from $2.85 billion in 2025 to $3.71 billion in 2026 at a compound annual growth rate (CAGR) of 30.2%. The growth in the historic period can be attributed to increasing demand for diagnostic imaging services, shortage of radiology professionals, expansion of digital radiology systems, rising imaging data complexity, adoption of picture archiving systems.

The artificial intelligence in radiology market size is expected to see exponential growth in the next few years. It will grow to $10.7 billion in 2030 at a compound annual growth rate (CAGR) of 30.3%. The growth in the forecast period can be attributed to increasing adoption of ai-assisted radiology platforms, rising focus on productivity optimization in imaging departments, expansion of cloud-based radiology ai solutions, growing use of predictive imaging analytics, increasing integration with hospital it systems. Major trends in the forecast period include increasing integration of ai in radiology reporting workflows, rising use of computer vision for image interpretation, growing deployment of ai for workflow optimization, expansion of real-time decision support tools, enhanced focus on diagnostic accuracy improvement.

The increasing adoption of artificial intelligence (AI) in healthcare is expected to drive the expansion of the AI in radiology market going forward. AI-powered algorithms exhibit a strong ability to analyze and interpret medical images accurately, supporting radiologists in identifying subtle abnormalities and enhancing overall diagnostic outcomes. The speed and efficiency provided by AI technologies not only optimize radiological workflows but also enable faster and more precise diagnoses. For example, in July 2024, according to The Health Foundation, a UK-based independent charity, over half of the UK public (54%) and three-quarters of surveyed NHS staff (76%) expressed support for using AI in patient care, with an even higher proportion endorsing its application for administrative tasks (61% of the public and 81% of NHS staff). Thus, the increasing use of AI in healthcare is fueling the growth of the AI in radiology market.

Major companies in the artificial intelligence in radiology market are concentrating on developing advanced cloud-native radiology informatics platforms, such as AI-orchestrated diagnostic workspaces, to improve imaging workflow efficiency, facilitate faster clinical decision-making, and handle increasing imaging volumes. A cloud-native AI radiology platform combines traditional PACS or RIS capabilities with scalable cloud infrastructure, allowing real-time AI model deployment, advanced image streaming, automated reporting, and seamless interoperability across clinical systems. For example, in February 2025, DeepHealth, Inc., a U.S.-based health informatics company, introduced Diagnostic Suite, an AI-powered cloud-native radiology workspace. The platform integrates worklist management, patient briefs, high-speed streaming viewers, AI orchestration, and smart reporting within a single interface. It provides high scalability, incorporates multiple AI diagnostic models across lung, prostate, brain, and breast imaging, and improves efficiency by ensuring smooth interoperability with existing radiology IT systems.

In January 2023, Bayer AG, a Germany-based pharmaceutical and biotechnology company, acquired Blackford Analysis Ltd. for an undisclosed sum. Through this acquisition, Bayer aims to advance radiology by integrating AI into clinical workflows to enhance patient care and reinforce its position in digital medical imaging. Blackford Analysis Ltd. is a UK-based technology provider specializing in AI for radiology.

Major companies operating in the artificial intelligence in radiology market are Microsoft Corporation, IBM Corporation, NVIDIA Corporation, Siemens Healthineers AG, Koninklijke Philips N.V, GE Healthcare Technologies Inc., Canon Medical Systems Corporation, HeartFlow Inc., Viz.ai Inc., Aidoc Medical Ltd., EnvoyAI, Butterfly Network Inc., Digital Diagnostics Inc., Caption Health, Enlitic Inc., Arterys, Nano X Imaging Ltd., Subtle Medical Inc., CureMetrix Inc., DiA Imaging Analysis Ltd., Imagen Technologies, Gleamer Ltd., Quibim, Behold.ai, Intel Corporation.

North America was the largest region in the artificial intelligence in radiology market in 2025. The regions covered in the artificial intelligence in radiology 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 radiology market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs are impacting the artificial intelligence in radiology market by increasing costs of imported imaging devices, ai-optimized servers, graphics processors, and advanced workstation hardware. Hospitals and diagnostic imaging centers in North America and Europe are most affected due to reliance on imported radiology equipment, while Asia-Pacific faces higher export-related costs. These tariffs are increasing capital investment requirements and delaying equipment refresh cycles. However, they are also promoting regional manufacturing, local assembly of radiology hardware, and greater adoption of software-focused AI radiology solutions.

The artificial intelligence in radiology market research report is one of a series of new reports that provides artificial intelligence in radiology market statistics, including artificial intelligence in radiology industry global market size, regional shares, competitors with a artificial intelligence in radiology market share, detailed artificial intelligence in radiology market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in radiology industry. This artificial intelligence in radiology 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 radiology involves the use of AI technologies, including machine learning and image analysis algorithms, to improve diagnostic accuracy and efficiency in interpreting medical images. AI methods deliver quantitative assessments and analyses of imaging data, providing more precise and objective information about the features of tissues and structures.

The primary types of artificial intelligence solutions in radiology are AI software and AI hardware. AI software consists of computer programs that employ artificial intelligence techniques to carry out tasks that normally require human intelligence. The different modality types include computed tomography (CT), magnetic resonance (MR), X-ray, mammography, ultrasound (US), and others. These are applied in various areas such as neurology, chest and lung, musculoskeletal, abdomen, cardiology, and more, and are utilized by different end-users such as hospitals, diagnostic imaging centers, and others.

The artificial intelligence (AI) in radiology market consists of revenues earned by entities by providing services such as image analysis and interpretation, computer-aided diagnosis, workflow optimization, image reconstruction, and integration with electronic health records. The market value includes the value of related goods sold by the service provider or included within the service offering. Artificial intelligence (AI) in the radiology market also includes sales of medical imaging software, diagnostic tools, mobile apps, telemedicine platforms, and medical imaging equipment used in providing AI in radiology 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 IT market is segmented into IT services, computer hardware, telecom, and software products.

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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