Global Artificial Intelligence In Radiology Market Revenue Expected To Reach $10.69 Billion By 2030
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How Is The Artificial Intelligence In Radiology Market’s Market Value Anticipated To Evolve From 2026 To 2030?
The artificial intelligence in radiology market has experienced rapid expansion in its size recently. Forecasts indicate it will expand from $2.85 billion in 2025 to reach $3.71 billion by 2026, exhibiting a compound annual growth rate (CAGR) of 30.2%. Historically, this growth can be linked to factors such as a heightened need for diagnostic imaging services, a scarcity of radiology experts, the widespread adoption of digital radiology systems, the growing intricacy of imaging data, and the implementation of picture archiving systems.
The artificial intelligence in radiology market size is projected to experience substantial growth in the upcoming years. It is forecast to reach $10.7 billion by 2030, with a compound annual growth rate (CAGR) of 30.3%. This projected growth during the forecast period is fueled by several factors, including the increasing adoption of AI-assisted radiology platforms, a heightened focus on optimizing productivity in imaging departments, the expansion of cloud-based radiology AI solutions, the growing utilization of predictive imaging analytics, and greater integration with hospital IT systems. Significant trends anticipated for the forecast period encompass the increasing integration of AI into radiology reporting workflows, a rising reliance on computer vision for image interpretation, the broader deployment of AI for workflow optimization, the expansion of real-time decision support tools, and an enhanced emphasis on improving diagnostic accuracy.
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What Are The Main Drivers Accelerating The Growth Of The Artificial Intelligence In Radiology Market?
The increasing adoption of artificial intelligence (AI) in healthcare is anticipated to fuel the expansion of artificial intelligence (AI) in the radiology market in the future. AI-driven algorithms show significant ability to precisely analyze and interpret medical images, thereby assisting radiologists in identifying minute abnormalities and enhancing comprehensive diagnostic results. The enhanced efficiency and rapid processing provided by AI technologies not only optimize radiological procedures but also lead to quicker and more precise diagnoses. As an illustration, in July 2024, data from The Health Foundation, a UK-based independent charity, indicated that over half of the UK public (54%) and three-quarters of surveyed NHS staff (76%) supported the integration of AI into patient care. Furthermore, an even greater proportion approved its application for administrative duties, with 61% of the public and 81% of NHS staff agreeing. Consequently, the expanding implementation of AI within the healthcare sector is propelling the growth of artificial intelligence (AI) in the radiology market.
What Are The Major Segment Categories Within The Artificial Intelligence In Radiology Market?
The artificial intelligence in radiology market covered in this report is segmented –
1) By Solution Type: AI Software, AI Hardware
2) By Modality: Computed Tomography (CT), Magnetic Resonance (MR), X-Ray, Mammography, Ultrasound (US), Other Modalities
3) By Application: Neurology, Chest And Lung, Musculoskeletal, Abdomen, Cardiology, Other Applications
4) By End-User: Hospitals, Diagnostic Imaging Centers, Other End-Users
Subsegments:
1) By AI Software: Image Analysis Software, Workflow Optimization Software, Radiology Reporting Software, Decision Support Systems, Predictive Analytics Tools
2) By AI Hardware: Imaging Devices, Servers And Computing Infrastructure, Robotics For Automated Imaging, Workstations For Radiologists
What Trends Are Influencing The Artificial Intelligence In Radiology Market?
Companies operating within the artificial intelligence in radiology market are primarily focused on developing innovative cloud-native radiology informatics platforms, such as AI-orchestrated diagnostic workspaces. Their aim is to enhance imaging workflow efficiency, support quicker clinical decision-making, and effectively manage increasing imaging volumes. A cloud-native AI radiology platform integrates traditional PACS or RIS functionalities with scalable cloud infrastructure, enabling real-time deployment of AI models, sophisticated image streaming, automated reporting, and seamless interoperability across diverse clinical systems. For example, in February 2025, DeepHealth, Inc., a U.S.-based health informatics company, introduced Diagnostic Suite, an AI-driven cloud-native radiology workspace. This platform unifies worklist management, patient briefs, high-speed streaming viewers, AI orchestration, and smart reporting within a single interface. It offers high scalability, integrates multiple AI diagnostic models spanning lung, prostate, brain, and breast imaging, and enhances efficiency by providing smooth interoperability with existing radiology IT infrastructure.
Which Industry Players Are Present In The Artificial Intelligence In Radiology Market?
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
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Which Region Accounts For The Highest Share Of The Artificial Intelligence In Radiology Market?
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.
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