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Artificial Intelligence In Magnetic Resonance Imaging (MRI) Market Size Outlook: How Quickly Will Revenue Expand Through 2030?
The artificial intelligence in magnetic resonance imaging (mri) market has experienced robust expansion over recent years. Projections indicate it will expand from $6.35 billion in 2025 to $6.88 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 8.3%. This historical growth can be attributed to several factors, including the rising number of MRI procedures, the increasing need for precise imaging, continuous improvements in imaging software, the proliferation of diagnostic centers, and heightened investments in healthcare.
The artificial intelligence in magnetic resonance imaging (mri) market size is projected to experience robust expansion over the coming years. It is anticipated to reach $9.54 billion in 2030, exhibiting a compound annual growth rate (CAGR) of 8.5%. This forecasted growth is driven by several factors, including the increasing integration of AI-enabled MRI scanners, the rising need for more rapid imaging, the expansion of neurological and oncology imaging applications, the adoption of cloud imaging platforms, and a scarcity of radiology specialists. Key developments expected during this period involve AI-based image reconstruction, solutions designed to decrease MRI scan times, automated image analysis, enhancements in MRI workflow efficiency, and advancements in high-resolution diagnostic imaging.
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Artificial Intelligence In Magnetic Resonance Imaging (MRI) Market Growth Momentum: What Factors Are Shaping Demand?
The expansion in the volume of diagnostic procedures is projected to boost the growth of artificial intelligence in magnetic resonance imaging (MRI) market. These procedures are defined as medical tests, examinations, or techniques carried out to identify, assess, or confirm the presence of a disease, medical condition, or abnormality in a patient. Artificial intelligence finds application in MRI diagnostic procedures to enhance accuracy and efficiency in the detection and characterisation of abnormalities, leading to more exact and quicker diagnoses for improved patient outcomes in less time. For example, according to the National Health Service, a UK-based government-run healthcare organisation, in March 2023, a total of 2,302,400 diagnostic tests were performed, which was 223,100 more than in March 2022. Thus, the escalating count of diagnostic procedures is propelling the growth of artificial intelligence in the magnetic resonance imaging (MRI) market.
Artificial Intelligence In Magnetic Resonance Imaging (MRI) Market Breakdown By Product Type And Application
The artificial intelligence in magnetic resonance imaging (mri) market covered in this report is segmented –
1) By Offering: Hardware, Software, Services
2) By Technology: Deep Learning, Machine Learning, Computer Vision, Other Technologies
3) By Deployment Type: On-Premise, Cloud
4) By Clinical Applications: Musculoskeletal, Colon, Prostate, Liver, Cardiovascular, Neurology, Lung, Breast, Other Clinical Applications
5) By End-User: Clinics, Research And Laboratories, Other End Users
Subsegments:
1) By Hardware: AI-Enabled MRI Scanners, Image Processing Units, Data Storage Devices
2) By Software: Image Analysis Software, Diagnostic Software, Workflow Optimization Tools
3) By Services: AI Integration Services, Maintenance And Support Services, Training And Consulting Services
Artificial Intelligence In Magnetic Resonance Imaging (MRI) Market Trends Redefining Industry Growth
Leading companies in the artificial intelligence in magnetic resonance imaging (MRI) market are introducing new offerings, such as AI-enabled MRI systems, to boost their profitability within the sector. An AI-enabled MRI system refers to a Magnetic Resonance Imaging (MRI) system that integrates artificial intelligence (AI) technologies to enhance and optimize various elements of the imaging process. For example, in August 2023, Fujifilm Healthcare Corporation, a US-based medical technology firm, introduced ECHELON Synergy. Fujifilm’s AI-driven deep learning technology improves MRI image quality and speed, with a study demonstrating scans four times faster than standard procedures. The ECHELON Synergy prioritizes patient comfort, featuring a large bore and a wide table. Fujifilm’s Hydro AG antibacterial coating guarantees 99.99% effectiveness against common bacteria, microorganisms, and mold on high-touch surfaces, thus improving safety.
Artificial Intelligence In Magnetic Resonance Imaging (MRI) Market Company Landscape And Competitive Strategy
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.
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Artificial Intelligence In Magnetic Resonance Imaging (MRI) Market Regional Split: Which Areas Are Fueling Growth?
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.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
