Magnetic Resonance Imaging (MRI) Systems Market size is estimated to be valued at USD 22.77 Bn in 2025 and is expected to reach USD 67.12 Bn in 2032, exhibiting a compound annual growth rate (CAGR) of 16.7% from 2025 to 2032.
Magnetic resonance imaging (MRI) is a medical imaging technique that utilizes strong magnetic fields and radio waves to generate detailed images of the organs and tissues in the body. MRI provides excellent soft tissue contrast between the different soft tissues of the body without using harmful ionizing radiation. Over the years, MRI technology has evolved significantly, thereby improving image quality and allowing quicker scans. MRI has become an indispensable imaging tool that is widely used for clinical diagnosis and in research applications. The global Magnetic resonance imaging (MRI) systems market demand has been witnessing steady growth due to the rising prevalence of chronic diseases, advantages of MRI over other modalities, technological advancements, and increasing adoption of high-field MRI systems.
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The integration of artificial intelligence, especially machine learning and deep learning, is revolutionizing the MRI systems by automation and enhancing various other processes. Along with that, AI algorithms analyze the vast amount of data rapidly, offering insights on previously unattainable. AI holds the potential to optimize image acquisition, which improves both the quality and speed of the MRI scans. Techniques such as compressed sensing and deep learning-based reconstruction allow for faster image acquisition without compromising quality. AI-powered device automatically detects abnormalities, quantify changes in tissues, and tracks disease progression, resulting in accelerating the diagnostic process and reducing human errors. Altogether, AI-driven tools are making diagnostics more accurate and efficient.
In November 2024, Canon Medical USA launched its latest AI-powered MRI platform, integrating deep learning to significantly speed scan times and enhance image clarity. It is built around a precision-engineered Japanese magnet and advanced reconstruction software; the system offers a real‑time automated workflow that expedites clinical decision-making. Industry analysts highlight this release as part of a broader shift toward smart, zero‑click imaging solutions designed to streamline patient care.
In terms of type, the closed segment is expected to contribute the highest share of the market in 2025, due to its ability to offer superior image quality, higher magnetic field strength, faster scan times, and enhanced diagnostic capabilities. The closed MRI has been around in the healthcare industry for a longer time than the open MRI. A closed MRI features a capsule-like space where the patient lies, and a high-quality image is taken. This system includes a large magnet and radio waves that send signals and receive signals to and from the patient’s body. The computer attached to the machine converts signals into images. An MRI scanner is available in various magnetic field strengths ranging from 0.5 to 3.0 Tesla.
In March 2024, Siemens Healthineers introduced the MAGNETOM Flow RT Pro Edition, a compact, helium‑independent 1.5 Tesla MRI designed specifically for radiation therapy use. Debuted at the European Society for Radiotherapy and Oncology congress, the system features DryCool technology, requiring just 0.7 L of helium and eliminating quench‑pipe infrastructure is ideal for placement next to linear accelerators.
In terms of field strength, the high field strength segment is expected to contribute the highest share of the market in 2025, owing to the increasing demand to deliver faster, clearer, and more detailed scans. High field strength MRI systems typically operate at 1.5 Tesla and above. High field strength MRIs are gaining traction due to their superior imaging capabilities, clinical flexibility, and ongoing technological advancements. High field strength systems provide greater signal-to-noise ratio (SNR), resulting in sharper, higher-resolution images. This is especially critical for diagnosing neurological, musculoskeletal, and cardiovascular conditions where fine anatomical detail is necessary.
In April 2025, the French CEA launched the first in‑vivo images of a living human brain captured by the Iseult 11.7 Tesla system, the strongest MRI ever built for human use. In just four minutes, it achieved 0.2 mm × 0.2 mm in‑plane and 1 mm slice resolution of roughly 10× sharper than clinical 3 T scanners. The ultra‑high‑field scanner promises breakthroughs in mapping brain structure, metabolism, and early markers of neurological disease, though its scale, cost, and infrastructure needs.
In terms of application, the neurology segment is expected to dominate the market, holding the highest share in 2025, due to the rising prevalence of neurological disorders and the safety of diagnosis. There’s a global increase in conditions like stroke, Alzheimer’s disease, Parkinson’s disease, epilepsy, and multiple sclerosis. These disorders often require regular and detailed imaging for diagnosis, monitoring, and treatment planning. Magnetic Resonance Imaging offers unmatched detail for soft tissues, especially the brain and spinal cord. It enables visualization of gray and white matter, nerve tracts, lesions, and structural abnormalities are critical for diagnosing neurological disorders. Leading neurology research centers and hospitals use MRI not only for clinical care but also for brain mapping studies, drug trials, and surgical planning, increasing utilization rates.
In June 2025, Hyperfine, Inc. announced FDA clearance for its redesigned Swoop® portable MRI system, now powered by Optive AI software. The system delivers sharper brain imaging through enhanced signal-to-noise ratio, improved resolution, and faster scan times. It is engineered for neurology clinics, it promotes accessibility for pediatric, geriatric, and anxious patients and supports on-site neuroimaging in both hospitals and neurology practices.
In terms of end-user, the hospital segment is expected to contribute the greatest share of the market in 2025, owing to integration into multi-specialty care and advances in non-invasive imaging. Hospitals require MRI systems to support a wide range of specialties, including neurology, oncology, cardiology, orthopedics, and emergency medicine. MRI offers superior soft-tissue contrast, enabling early diagnosis and monitoring of brain tumors, spinal cord injuries, strokes, joint degeneration, and cardiac anomalies. MRI does not use ionizing radiation, making it safer for repeat imaging, especially in vulnerable groups such as children, pregnant women, and oncology patients. Modern hospital-grade MRI systems come with shorter scan times, AI-assisted image reconstruction, and higher field strengths (e.g., 3T or even 7T), improving diagnostic precision.
In June 2025, S.L. Raheja Hospital, a Fortis associate, unveiled an AI‑enabled digital PET‑CT scanner and a 3 Tesla MRI system, designed to deliver sharper images, faster scans, and improved lesion detection for cancer, neurology, infection, inflammation, and cardiology cases.

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North America is the largest market for the global magnetic resonance imaging (MRI) systems market, accounting for a market share of over 45% in 2025. The North American magnetic resonance imaging (MRI) systems market is driven by factors such as the high prevalence of chronic diseases, such as cancer, cardiovascular diseases, and others, underscoring the need for advanced diagnostics. The integration of artificial intelligence and machine learning into imaging workflows has further accelerated adoption.
For instance, AdventHealth Waterman in Florida adopted Siemens’ AI-powered 3T MRI system with Deep Resolve Boost, reducing scan times by nearly half while maintaining superior image quality. Similarly, Antelope Valley Medical Center in California implemented a next-generation 1.5T MRI system that significantly improved both speed and accuracy. Furthermore, technological advancements in MRI systems and a favorable reimbursement scenario in the region are also contributing to the market growth. These developments highlight how a mature healthcare ecosystem, combined with technological innovation and policy support, continues to make North America the most dynamic and advanced market for MRI systems globally.
Europe is the second-largest market for global magnetic resonance imaging (MRI) systems market, accounting for a market share of over 30.3% in 2025. The Europe magnetic resonance imaging (MRI) systems market growth is driven by increase in focusing on developing open and wide-bore MRI systems integrated with AI assistants for simplified operations. For example, Monaco’s Princess Grace Hospital recently implemented the SmartSpeed AI module to its MRI scanner, drastically reducing scan times and improving stroke diagnosis accuracy. Rising healthcare expenditures of European governments and increasing availability of insurance coverage for routine health checks including MRI scans are stimulating the market. However, high costs involved in installation, maintenance and upgrades of MRI machinery is a major restraint.
Asia Pacific is the fastest-growing market for global magnetic resonance imaging (MRI) systems market, accounting for a market share of over 20.4% in 2025. The Asia Pacific is witnessing significant growth in the forecast period on account of rising healthcare expenditure across developing nations, increasing awareness regarding early disease diagnosis, and growing preference for non-invasive diagnostic imaging services.
For example, India recently inaugurated a 3‑tesla MRI at Loknayak Jayaprakash Narayan Hospital in Patna, aiming to improve local access to advanced imaging for conditions like stroke and brain tumors. Singapore General Hospital partnered with Philips to launch a regional MRI Training Center, equipping radiographers across the region to handle sophisticated systems and workflow demands. Meanwhile, AsiaMedic in Singapore installed the first SIGNA Hero 3.0 Tesla MRI in the Asia Pacific, leveraging AI-enhanced image clarity and faster scan times to meet rising patient volumes. These real-world deployments reflect the region’s commitment through public investment, infrastructure expansion, and clinician training to elevate early disease detection via MRI.
The U.S. magnetic resonance imaging (MRI) systems market is primarily driven by a combination of clinical needs, infrastructure readiness, and technological advances. For example, Avita Galion Hospital in Ohio recently installed Fujifilm’s ECHELON Synergy 1.5 Tesla MRI equipped with deep-learning reconstruction, reducing scan times by up to 75% while improving image clarity for brain, spine, and breast imaging.
Meanwhile, major academic centers like NewYork‑Presbyterian/Weill Cornell and Massachusetts General Hospital have pioneered portable ICU MRI units that integrate machine learning and ultra‑low‑field imaging to provide bedside diagnostics, particularly useful for critical stroke or neurological care. These technological innovations enhance diagnostic precision and patient throughput and reduce strain on radiology departments, these trends reflecting a broader shift toward MRI-as-a-service models in U.S. hospitals.
India is a key for market expansion in Asia Pacific, supported by the growing burden of neurological and orthopedic conditions, such as spinal disorders and joint degeneration leading to hospitals and diagnostic centers to expand access to magnetic resonance imaging (MRI) services, particularly in Tier 2 cities and rural areas. To address severe shortages, the Delhi government recently launched a public–private partnership initiative to install and operate MRI facilities across 35 state hospitals. Portable MRI prototypes are also emerging, enabling remote hospitals and clinics to perform timely diagnostic scans. Together, these initiatives illustrate how public funding, domestic innovation, and targeted deployment are fueling MRI system uptake across India's public and private healthcare sectors.
| Report Coverage | Details | ||
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| Base Year: | 2024 | Market Size in 2025: | USD 22.77 Bn |
| Historical Data for: | 2020 To 2024 | Forecast Period: | 2025 To 2032 |
| Forecast Period 2025 to 2032 CAGR: | 16.7% | 2032 Value Projection: | USD 67.12 Bn |
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| Companies covered: |
Seimens AG, Koninklijke Philips N.V., Medtronic plc., Aurora Imaging Technologies Inc., General Electric Company, Hitachi Ltd., Esaote SpA, The InterMed Group, and Canon Medical Systems Corporation |
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The Magnetic Resonance Imaging (MRI) Systems market value is entering a pivotal phase where innovation is not just expected but it is imperative. From an analyst’s standpoint, the market is bifurcating into two clear trajectories: one defined by commoditization in mid-field scanners and the other by aggressive technological differentiation in high-field and ultra-high-field systems.
At the core of this shift is the rising dominance of 3T and 7T MRI systems. As of 2025, 3 Tesla systems account for more than 60% of new installations in tertiary care and research institutions, a figure that underscores the increasing demand for precision diagnostics. Clinical institutions are now choosing imaging systems not just for detection but for quantitative analysis, functional mapping, and AI-based interpretation are capabilities that low-field and mid-field systems are fundamentally unequipped to provide.
The University of Minnesota’s Center for Magnetic Resonance Research offers a compelling example: their deployment of the Siemens Magnetom Terra 7T scanner is not simply a tool, but a research enabler. It delivers structural resolution previously considered impractical in live subjects, especially in neurovascular and epilepsy studies. The value of such systems lies not only in image clarity, but in multi-parametric data integration, which now plays a central role in clinical decision-making.
In contrast, the low- and mid-field MRI segment is stagnating—not due to lack of demand, but due to lack of innovation. Price-sensitive regions still rely heavily on 1.5T systems, but the technological ceiling has been reached. Vendors focusing purely on cost-optimization without substantive improvements in gradient strength, coil design, or AI integration are falling behind. In fact, procurement data from large hospital chains in Western Europe indicates a 17% year-on-year decline in 1.5T system acquisition in 2024 alone, as hospitals consolidate imaging operations around higher-spec modalities to streamline training and data handling.
Another underappreciated development is the increased role of AI in scan protocol optimization and post-processing, which is no longer a value-add but a prerequisite for system relevance. Canon Medical and GE HealthCare have made notable strides in integrating deep learning reconstruction (DLR) algorithms, reducing scan time by up to 40% while improving signal-to-noise ratios in musculoskeletal and cardiac imaging. Vendors who do not invest in native AI capabilities—not bolt-on partnerships—risk becoming obsolete within five years.
*Definition: Magnetic resonance imaging (MRI) systems are a type of medical imaging technology that is used to visualize the structure and function of the body. They use a strong magnetic field and radio waves to generate detailed images of the inside of the body, including the organs, tissues, and skeletal system. MRI systems are non-invasive and do not use ionizing radiation, thereby making them a safe option for imaging. They are commonly used to diagnose a variety of medical conditions, including tumors, heart disease, liver disease, and neurological disorders.
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About Author
Komal Dighe is a Management Consultant with over 8 years of experience in market research and consulting. She excels in managing and delivering high-quality insights and solutions in Health-tech Consulting reports. Her expertise encompasses conducting both primary and secondary research, effectively addressing client requirements, and excelling in market estimation and forecast. Her comprehensive approach ensures that clients receive thorough and accurate analyses, enabling them to make informed decisions and capitalize on market opportunities.
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