Artificial Intelligence In Radiology Market Report 2026

Artificial Intelligence In Radiology Market Overview

• Artificial Intelligence In Radiology market size has reached to $2.85 billion in 2025 • Expected to grow to $10.7 billion in 2030 at a compound annual growth rate (CAGR) of 30.3% • Growth Driver: Application Of AI In Healthcare Propels Market Expansion • Market Trend: Growing adoption of cloud-native AI platforms in radiology to improve diagnostic efficiency • North America was the largest region in 2025.

What Is Covered Under Artificial Intelligence In Radiology Market?

Artificial intelligence (AI) in radiology refers to the application of artificial intelligence technologies, such as machine learning and image analysis algorithms, to enhance diagnostic accuracy and efficiency in medical imaging interpretation. AI techniques provide quantitative measurements and analysis of imaging data, offering more precise and objective information about the characteristics of tissues and structures. The main solution types of artificial intelligence in radiology are AI software and AI hardware. AI software refers to computer programs that utilize artificial intelligence techniques to perform tasks that typically require human intelligence. The various modality types include computed tomography (CT), magnetic resonance (MR), x-ray, mammography, ultrasound (us), and others. These are used in various applications such as neurology, chest and lung, musculoskeletal, abdomen, cardiology, and others, and also by various end-users such as hospitals, diagnostic imaging centers, and others.

What Is The Artificial Intelligence In Radiology Market Growth Forecast?

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.

Global Artificial Intelligence In Radiology Market Segmentation

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 Is The Driver Of The Artificial Intelligence In Radiology Market?

The growing application of artificial intelligence (AI) in healthcare is expected to propel the growth of artificial intelligence (AI) in the radiology market going forward. AI-powered algorithms demonstrate a remarkable capability to analyze and interpret medical images with precision, aiding radiologists in detecting subtle abnormalities and improving overall diagnostic outcomes. The efficiency and speed offered by AI technologies not only streamline radiological workflows but also contribute to faster and more accurate diagnoses. For instance, in July 2024, according to The Health Foundation, a UK-based independent charity, more than half of the UK public (54%) and three-quarters of surveyed NHS staff (76%) expressed support for the use of AI in patient care, while an even larger percentage endorsed its use for administrative tasks (61% of the public and 81% of NHS staff). Therefore, the growing application of AI in healthcare is driving the growth of artificial intelligence (AI) in the radiology market.

Key Players In The Global 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

Global Artificial Intelligence In Radiology Market Trends and Insights

Major companies are operating in the artificial intelligence in radiology market, focusing on developing innovative cloud-native radiology informatics platforms, such as AI-orchestrated diagnostic workspaces, to enhance imaging workflow efficiency, support faster clinical decision-making, and manage rising imaging volumes. A cloud-native AI radiology platform integrates traditional PACS or RIS functions with scalable cloud infrastructure, enabling real-time AI model deployment, advanced image streaming, automated reporting, and seamless interoperability across clinical systems. For instance, in February 2025, DeepHealth, Inc., a U.S.-based health informatics company, launched Diagnostic Suite, an AI-powered cloud-native radiology workspace. The platform unifies worklist management, patient briefs, high-speed streaming viewers, AI orchestration, and smart reporting in a single interface. It offers high scalability, integrates multiple AI diagnostic models across lung, prostate, brain, and breast imaging, and enhances efficiency by providing smooth interoperability with existing radiology IT infrastructure.

What Are Latest Mergers And Acquisitions In The Artificial Intelligence In Radiology Market?

In January 2023, Bayer AG, a Germany-based pharmaceutical and biotechnology company, acquired Blackford Analysis Ltd. for an undisclosed amount. Through this acquisition, Bayer aims to drive advancements in radiology, incorporating AI into clinical workflows to elevate patient care and strengthen its standing in digital medical imaging. Blackford Analysis Ltd. is a UK-based AI platform technology provider focusing on AI in radiology.

Regional Outlook

North America was the largest region in the artificial intelligence in radiology market in 2025. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

What Defines the Artificial Intelligence In Radiology Market?

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.

How is Market Value Defined and Measured?

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.

What Key Data and Analysis Are Included in the Artificial Intelligence In Radiology Market Report 2026?

The artificial intelligence in radiology market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in radiology industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.