Artificial Intelligence in Magnetic Resonance Imaging (MRI) Market Report 2026

The artificial intelligence in magnetic resonance imaging (mri) market size has grown strongly in recent years. It will grow from $6.35 billion in 2025 to $6.88 billion in 2026 at a compound annual growth rate (CAGR) of 8.3%. The growth in the historic period can be attributed to growth of mri procedures, demand for imaging accuracy, advancements in imaging software, expansion of diagnostic centers, increasing healthcare investments.

The artificial intelligence in magnetic resonance imaging (mri) market size is expected to see strong growth in the next few years. It will grow to $9.54 billion in 2030 at a compound annual growth rate (CAGR) of 8.5%. The growth in the forecast period can be attributed to adoption of ai-enabled mri scanners, demand for faster imaging, growth of neurological and oncology imaging, integration of cloud imaging platforms, shortage of radiology professionals. Major trends in the forecast period include ai-based image reconstruction, reduced mri scan time solutions, automated image analysis, workflow optimization in mri, high-resolution diagnostic imaging.

The growth of the artificial intelligence in magnetic resonance imaging (MRI) market is anticipated to be fueled by the increased number of diagnostic procedures. Diagnostic procedures involve medical tests, examinations, or techniques conducted to identify, evaluate, or confirm the presence of diseases, medical conditions, or abnormalities in patients. The application of artificial intelligence in MRI diagnostic procedures aims to enhance accuracy and efficiency in detecting and characterizing abnormalities, ultimately leading to more precise and timely diagnoses for improved patient outcomes in a shorter timeframe. For example, in March 2023, the National Health Service (NHS), a publicly funded healthcare system in England, reported a rise in the number of patients awaiting critical diagnostic tests, reaching approximately 1,628,300, indicating a 59,400-patient increase from March 2022. Additionally, a total of 2,302,400 diagnostic tests were performed in March 2023, reflecting an increase of 223,100 compared to March 2022. Hence, the increased volume of diagnostic procedures is a key driver for the growth of the artificial intelligence in MRI market.

Major companies in the artificial intelligence in magnetic resonance imaging (MRI) market are also rolling out new products, such as AI-enabled MRI systems, to enhance their market profitability. An AI-enabled MRI system integrates artificial intelligence technologies to improve various aspects of the imaging process. For instance, in August 2023, Fujifilm Healthcare Corporation, a US-based medical technology company, launched ECHELON Synergy. This AI-powered deep learning technology from Fujifilm enhances MRI image quality and speed, with scans shown to be four times faster than standard ones in a study. The ECHELON Synergy prioritizes patient comfort with a large bore and wide table, and Fujifilm's Hydro AG antibacterial coating ensures 99.99% effectiveness against common bacteria, microorganisms, and mold on high-touch surfaces, thereby enhancing safety.

In February 2023, Bayer AG, a Germany-based pharmaceutical company, successfully acquired Blackford Analysis Ltd. for an undisclosed amount. This strategic move aims to strengthen Bayer AG's presence in radiology technology and enhance operational efficiency. Blackford Analysis Ltd., based in the UK, provides a platform for managing multiple imaging applications and AI algorithms through a single system, including magnetic resonance imaging (MRI).

Major companies operating in the artificial intelligence in magnetic resonance imaging (mri) market are Intel Corporation; International Business Machines Corporation; Bayer AG; Toshiba Corporation; NVIDIA Corporation; Siemens Healthcare GmbH; Fujifilm Holdings Corporation; Koninklijke Philips N.V.; GE HealthCare Technologies Inc.; Esaote SPA; Aidoc Medical; Lunit Inc.; Viz.AI Inc.; Owkin Inc.; Aurora Imaging Technologies Inc.; Quibim SL; Mirada Medical Ltd.; Arterys Inc.; Imbio LLC; QMENTA; Voxel Technology; Sanrad Medical Systems Pvt ltd; Enlitic Inc.; InformAI LLC; Nano X Imaging Ltd.

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

Tariffs have impacted the artificial intelligence in mri market by increasing costs of imported mri scanners, processors, and data storage hardware. These impacts are significant for hospitals and diagnostic centers relying on advanced imaging systems. North america and europe are particularly affected due to reliance on imported high-end equipment. Rising costs have encouraged greater use of software-based AI imaging enhancements. This has supported cost efficiency and broader adoption of ai-driven mri solutions.

The artificial intelligence in magnetic resonance imaging (mri) market research report is one of a series of new reports that provides artificial intelligence in magnetic resonance imaging (mri) market statistics, including artificial intelligence in magnetic resonance imaging (mri) industry global market size, regional shares, competitors with a artificial intelligence in magnetic resonance imaging (mri) market share, detailed artificial intelligence in magnetic resonance imaging (mri) market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in magnetic resonance imaging (mri) industry. This artificial intelligence in magnetic resonance imaging (mri) 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 application of artificial intelligence (AI) in magnetic resonance imaging (MRI) involves the integration of advanced computational algorithms and machine learning techniques to enhance and extend the capabilities of this non-invasive medical imaging method, which generates detailed, high-resolution images of the internal structures of the body. AI contributes to achieving higher resolutions in MRI scans while reducing scan time, as it necessitates less data to construct improved images.

The primary components of artificial intelligence in magnetic resonance imaging (MRI) encompass hardware, software, and services. Hardware refers to the tangible equipment or devices utilized to support the operation of computer systems, specifically aiding in the acceleration of computation-intensive tasks associated with AI algorithms. These algorithms, including deep learning models utilized for image analysis in MRI, utilize technologies such as deep learning, machine learning, computer vision, natural language processing (NLP), speech recognition, querying methods, and others. These technologies are deployed both on-premises and in the cloud, being applied across various clinical applications such as musculoskeletal, colon, prostate, liver, cardiovascular, neurology, lung, breast, and more. The utilization of AI in MRI is prevalent in clinics, research and laboratories, and other relevant settings.

The artificial intelligence in magnetic resonance imaging (MRI) market includes revenues earned by entities by providing services such as interpretation services, quantitative analysis, disease detection, and diagnosis services. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence in magnetic resonance imaging (MRI) market also includes sales of central processing units, field-programmable gate arrays, application-specific integrated circuits, and graphics processing units. 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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