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Is The Artificial Intelligence In Magnetic Resonance Imaging (MRI) Market Expanding? Latest Size Estimates And 2030 Projections
The market size for artificial intelligence in magnetic resonance imaging (mri) has demonstrated substantial growth in recent years. It is projected to expand from $6.35 billion in 2025 to $6.88 billion in 2026, achieving a compound annual growth rate (CAGR) of 8.3%. This historical growth can be attributed to factors such as an increase in MRI procedures, a heightened demand for imaging accuracy, continuous advancements in imaging software, the expansion of diagnostic centers, and increasing healthcare investments.
The artificial intelligence in magnetic resonance imaging (mri) market is projected to experience substantial expansion over the coming years. Its valuation is anticipated to reach $9.54 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 8.5%. This forecasted growth can be attributed to factors such as the increasing adoption of AI-enabled MRI scanners, the rising demand for quicker imaging processes, the expansion of neurological and oncology imaging, the incorporation of cloud imaging platforms, and the scarcity of radiology experts. Key trends expected during this period include AI-based image reconstruction, solutions for decreasing MRI scan times, automated image analysis, enhanced workflow optimization in MRI, and advanced high-resolution diagnostic imaging.
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Artificial Intelligence In Magnetic Resonance Imaging (MRI) Market Drivers Explained: What Is Supporting A 8.5% CAGR?
The expansion in diagnostic procedures is anticipated to fuel the advancement of artificial intelligence within the magnetic resonance imaging (MRI) market. These procedures encompass various medical tests, examinations, or techniques performed to ascertain, assess, or verify a disease, medical condition, or abnormality in an individual. Artificial intelligence is utilized in MRI diagnostics to enhance the precision and speed of identifying and characterizing irregularities, resulting in more accurate and prompt diagnoses for improved patient health outcomes in reduced timeframes. As an illustration, the National Health Service, a UK-based government-run healthcare organization, reported that 2,302,400 diagnostic tests were conducted in March 2023. This figure represents an increase of 223,100 tests compared to March 2022. Consequently, the rising volume of diagnostic procedures is a key factor propelling the expansion of artificial intelligence in the magnetic resonance imaging (MRI) market.
Artificial Intelligence In Magnetic Resonance Imaging (MRI) Market Segment Guide: Main Divisions And Subsegments
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 And Opportunities For 2026–2030
Leading companies operating within the artificial intelligence in magnetic resonance imaging (MRI) market are launching new products, such as AI-enabled MRI systems, with the goal of increasing their market profitability. An AI-enabled MRI system is a Magnetic Resonance Imaging (MRI) system that integrates artificial intelligence (AI) technologies to improve and optimize various aspects of the imaging process. For instance, in August 2023, Fujifilm Healthcare Corporation, a US-based medical technology company, introduced ECHELON Synergy. Fujifilm’s AI-powered deep learning technology enhances MRI image quality and speed, as demonstrated by a study showing scans that were four times faster than standard ones. The ECHELON Synergy also prioritizes patient comfort through its large bore and wide table. Additionally, Fujifilm’s Hydro AG antibacterial coating guarantees a 99.99% effectiveness against common bacteria, microorganisms, and mold on high-touch surfaces, thus enhancing safety.
Which Major Players Are Active In The Artificial Intelligence In Magnetic Resonance Imaging (MRI) Market?
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 World Regions Compared: Which Leads In Revenue?
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.
