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Artificial Intelligence In Magnetic Resonance Imaging (MRI) Market Growth Potential: How Will Market Size Change Through 2030?
The artificial intelligence in magnetic resonance imaging (MRI) market has shown substantial expansion over the past few years. Valued at $6.35 billion in 2025, it is projected to reach $6.88 billion by 2026, reflecting a compound annual growth rate (CAGR) of 8.3%. This historic growth is largely driven by an increase in MRI procedures, a rising need for precision in imaging, improvements in imaging software, the proliferation of diagnostic centers, and growing investments in healthcare.
The market size for artificial intelligence in magnetic resonance imaging (MRI) is projected to experience robust expansion over the coming years. By 2030, it is anticipated to reach $9.54 billion, reflecting a compound annual growth rate (CAGR) of 8.5%. This projected growth during the forecast period is driven by several key factors: the increasing adoption of AI-equipped MRI scanners, a rising demand for faster imaging procedures, the expansion of neurological and oncology imaging, the integration of cloud-based imaging platforms, and a shortage of radiology professionals. Prominent trends shaping this forecast period include AI-powered image reconstruction, solutions designed to reduce MRI scan times, automated image analysis, workflow optimization in MRI, and the advancement of high-resolution diagnostic imaging.
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Artificial Intelligence In Magnetic Resonance Imaging (MRI) Market Growth Momentum: Which Factors Are Influencing Demand?
The growth of the artificial intelligence in magnetic resonance imaging (MRI) market is anticipated to be driven by the rising volume of diagnostic procedures. These procedures encompass medical tests, examinations, and techniques designed to identify, assess, or confirm the presence of disease, medical conditions, or abnormalities in patients. Artificial intelligence is applied within MRI diagnostics to enhance both accuracy and efficiency in detecting and characterizing abnormalities, enabling faster, more precise diagnoses that improve patient outcomes. As an example, data from the National Health Service, a government-run healthcare organization in the UK, indicated that in March 2023, a total of 2,302,400 diagnostic tests were conducted, representing an increase of 223,100 compared to March 2022. Consequently, this surge in diagnostic procedures is fueling expansion in the artificial intelligence in MRI market.
Artificial Intelligence In Magnetic Resonance Imaging (MRI) Market Segmentation And Category Breakdown
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 Reshaping Industry Growth
Major players in the artificial intelligence in MRI market are introducing new products, including AI-equipped MRI systems, to boost their profitability. An AI-enabled MRI system is a Magnetic Resonance Imaging device that leverages artificial intelligence technologies to improve and streamline various elements of the imaging workflow. As an example, in August 2023, Fujifilm Healthcare Corporation, a medical technology firm based in the United States, unveiled the ECHELON Synergy. This system utilizes Fujifilm’s AI-driven deep learning technology to elevate MRI image quality and speed, with research demonstrating scans that are four times quicker compared to conventional methods. The ECHELON Synergy places a premium on patient comfort, featuring a spacious bore and a broad table. Additionally, the Hydro AG antibacterial coating from Fujifilm achieves a 99.99% efficacy against common bacteria, microorganisms, and mold on frequently touched surfaces, thereby boosting overall safety.
Artificial Intelligence In Magnetic Resonance Imaging (MRI) Market Competitive Analysis Of Major Industry Participants
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 Global Footprint: Which Region Holds Market Leadership?
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.