자기공명영상(MRI) 시장 : 제품 유형, 구성 요소, 자장 강도, 자석 유형, 코일 유형, 용도, 최종 사용자별 - 세계 시장 예측(2026-2032년)

The Magnetic Resonance Imaging Market is projected to grow by USD 9.69 billion at a CAGR of 5.91% by 2032.

MRI Market Executive Summary

Magnetic resonance imaging (MRI) remains one of the most important diagnostic imaging modalities because it delivers high-contrast visualization of soft tissue without ionizing radiation. Demand is supported by the sustained burden of neurological disorders, cancer, cardiovascular disease, musculoskeletal injuries, and chronic conditions that require repeat imaging. The World Health Organization reports more than 55 million people living with dementia globally, while the International Agency for Research on Cancer estimated around 20 million new cancer cases in 2022, reinforcing the clinical need for advanced diagnostic imaging.

The MRI market is moving beyond equipment replacement toward workflow productivity, faster scan protocols, patient comfort, helium-efficient magnet design, and AI-assisted image acquisition and interpretation. Health systems are prioritizing scanners that improve throughput, reduce rescans, support advanced applications such as functional MRI and diffusion imaging, and integrate with radiology information systems, PACS, and enterprise imaging platforms.

Transformative Shifts in the MRI Landscape

The MRI landscape is being reshaped by the shift from hardware-centered procurement to value-based imaging performance. Hospitals and imaging centers are evaluating systems on lifetime cost, uptime, technologist productivity, scan speed, energy use, and ability to support multiple clinical service lines. Wide-bore systems, quieter sequences, faster protocols, and low-field or point-of-care MRI concepts are also expanding patient access and improving exam tolerance.

Another transformative shift is the growing focus on sustainable MRI operations. Helium scarcity, energy consumption, and facility infrastructure costs are influencing scanner design and purchasing criteria. Vendors are responding with helium-saving magnets, improved cooling systems, advanced coils, and software that can improve signal quality without lengthening scan times. This shift is especially relevant as radiology departments balance rising imaging demand with workforce shortages, budget discipline, and expectations for lower environmental impact.

Cumulative Impact of Artificial Intelligence on MRI

Artificial intelligence is having a cumulative impact across the MRI value chain, from scheduling and protocol selection to image reconstruction, motion correction, triage, segmentation, and reporting support. AI-based reconstruction can reduce acquisition time while preserving diagnostic quality, which is especially valuable in high-volume radiology departments facing workforce pressure and long appointment backlogs.

Regulatory activity also supports the direction of travel. The U.S. FDA has authorized hundreds of AI-enabled medical imaging devices across modalities, with radiology representing the largest share of authorized AI/ML medical devices. In MRI, the strongest near-term value lies in accelerated imaging, automated measurements, consistent image quality, workflow orchestration, and decision support rather than replacement of radiologist judgment.

Key Regional Insights for MRI Demand

Asia-Pacific is a high-growth MRI region due to rising healthcare investment, large patient populations, medical tourism, and expanding public and private hospital networks. China, India, Japan, South Korea, Australia, and ASEAN markets are strengthening imaging capacity, although access remains uneven between metropolitan hospitals and rural care settings. Japan has among the highest MRI scanner availability levels globally, while China and India continue to expand diagnostic infrastructure to address large-scale cancer, neurological, cardiovascular, and orthopedic imaging needs.

North America benefits from advanced radiology infrastructure, high utilization, strong reimbursement pathways, and early adoption of AI-enabled imaging workflows. Europe shows steady demand driven by universal healthcare systems, aging populations, cancer care pathways, and replacement of older scanners with more efficient platforms. Latin America is improving MRI availability through private diagnostics, hospital modernization, and specialty care expansion, led by Brazil and Mexico, where urban centers remain the primary hubs for advanced imaging access.

The Middle East is investing in tertiary hospitals, oncology centers, and digital health infrastructure, particularly in GCC countries where national health strategies emphasize specialized care and medical technology modernization. Africa remains underpenetrated, with MRI access concentrated in large urban hospitals; however, investments in public-private partnerships, radiology training, and lower-infrastructure imaging solutions are gradually improving diagnostic capacity for cancer, trauma, maternal health complications, and neurological disorders.

Key Group Insights Across Strategic Markets

ASEAN demand is shaped by rapid urbanization, expanding private hospitals, and growing medical tourism hubs in Singapore, Thailand, and Malaysia, while Indonesia, Vietnam, and the Philippines continue to build advanced imaging capacity. The GCC is distinguished by high capital investment in specialized hospitals, oncology, neurology, and digital health programs, supporting demand for premium MRI systems, service reliability, and integrated enterprise imaging environments.

The European Union emphasizes quality, safety, sustainability, and equitable access, making energy-efficient MRI platforms, standardized imaging pathways, interoperability, and regulatory compliance increasingly important. BRICS countries represent a large-volume opportunity because of population scale, rising chronic disease burden, expanding middle-class healthcare use, and public healthcare modernization, although procurement cycles, reimbursement systems, and regional access gaps vary significantly.

G7 countries are characterized by mature installed bases, high clinical complexity, advanced research hospitals, and stronger adoption of AI-assisted reconstruction and workflow tools. NATO countries overlap heavily with advanced European and North American healthcare systems, where resilient healthcare infrastructure, cybersecurity, continuity of supply, and secure integration with hospital information systems are becoming important procurement considerations for imaging networks.

Key Country Insights for MRI Market Growth

The United States leads MRI innovation through advanced clinical use, strong academic medical centers, outpatient imaging networks, and early adoption of AI-enabled radiology workflows. Canada emphasizes access, wait-time reduction, and public system capacity planning, while Mexico and Brazil are expanding private diagnostic networks and specialty imaging services to serve growing urban populations and improve access to oncology, neurology, and musculoskeletal imaging.

In Europe, the United Kingdom focuses on diagnostic capacity and National Health Service productivity, while Germany, France, Italy, and Spain maintain significant demand for replacement systems, oncology imaging, cardiac MRI, and musculoskeletal applications. Russia has a large hospital network with ongoing demand for diagnostic infrastructure, though procurement conditions can be affected by macroeconomic, regulatory, and supply-chain constraints.

China is scaling domestic imaging capacity and local manufacturing, India is expanding MRI access through private hospitals and diagnostic chains, and Japan remains one of the world's most MRI-dense markets by scanner availability. South Korea is advanced in digital hospital adoption and imaging technology, while Australia combines strong clinical standards with demand for geographically distributed diagnostic access across metropolitan, regional, and remote communities.

Actionable Recommendations for MRI Industry Leaders

Industry leaders should prioritize MRI solutions that combine diagnostic quality with measurable operational value. Faster protocols, AI reconstruction, remote service monitoring, intuitive interfaces, flexible siting requirements, and lower helium dependency can directly support throughput, patient experience, exam consistency, and total cost of ownership.

Vendors and providers should align product strategy with regional realities. Premium 3T systems remain important for advanced hospitals, while cost-effective 1.5T, helium-efficient, refurbished, and lower-infrastructure models can expand access in emerging markets. Partnerships with hospitals, payers, radiology groups, academic centers, and AI developers will be essential to validate clinical outcomes, demonstrate workflow return on investment, and support responsible AI adoption.

Research Methodology

This executive summary is built from a structured review of public healthcare statistics, regulatory databases, peer-reviewed radiology literature, procurement trends, and policy signals from recognized institutions such as WHO, IARC, OECD, FDA, and national health agencies. Insights were cross-checked across clinical, operational, regulatory, and regional indicators to avoid reliance on single-source assumptions.

The research approach emphasizes evidence-based market interpretation rather than unsupported forecasting. Demand signals were evaluated through disease burden, aging demographics, installed-base maturity, healthcare expenditure, reimbursement environment, hospital infrastructure, AI regulation, workforce availability, sustainability priorities, and regional access gaps.

Conclusion

MRI is positioned for sustained strategic importance as healthcare systems seek earlier diagnosis, better treatment planning, and safer repeat imaging. Growth is not defined only by scanner volume; it is increasingly shaped by workflow efficiency, AI-enabled productivity, patient-centered design, sustainability, interoperability, and service reliability.

Organizations that combine clinical credibility with flexible deployment models, data integration, secure digital workflows, and evidence-based AI adoption will be best positioned to capture MRI market opportunities across mature and emerging healthcare systems.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Definition
• 1.3. Market Segmentation & Coverage
• 1.4. Years Considered for the Study
• 1.5. Currency Considered for the Study
• 1.6. Language Considered for the Study
• 1.7. Key Stakeholders

2. Research Methodology

• 2.1. Introduction
• 2.2. Research Design
  • 2.2.1. Primary Research
  • 2.2.2. Secondary Research
• 2.3. Research Framework
  • 2.3.1. Qualitative Analysis
  • 2.3.2. Quantitative Analysis
• 2.4. Market Size Estimation
  • 2.4.1. Top-Down Approach
  • 2.4.2. Bottom-Up Approach
• 2.5. Data Triangulation
• 2.6. Research Outcomes
• 2.7. Research Assumptions
• 2.8. Research Limitations

3. Executive Summary

• 3.1. Introduction
• 3.2. CXO Perspective
• 3.3. Market Size & Growth Trends
• 3.4. Market Share Analysis, 2025
• 3.5. FPNV Positioning Matrix, 2025
• 3.6. New Revenue Opportunities
• 3.7. Next-Generation Business Models
• 3.8. Industry Roadmap

4. Market Overview

• 4.1. Introduction
• 4.2. Industry Ecosystem & Value Chain Analysis
  • 4.2.1. Supply-Side Analysis
  • 4.2.2. Demand-Side Analysis
  • 4.2.3. Stakeholder Analysis
• 4.3. Market Dynamics
  • 4.3.1. Key Drivers
  • 4.3.2. Key Restraints
  • 4.3.3. Key Opportunities
  • 4.3.4. Key Challenges
• 4.4. Porter's Five Forces Analysis
• 4.5. PESTLE Analysis
• 4.6. Market Outlook
  • 4.6.1. Near-Term Market Outlook (0-2 Years)
  • 4.6.2. Medium-Term Market Outlook (3-5 Years)
  • 4.6.3. Long-Term Market Outlook (5-10 Years)
• 4.7. Go-to-Market Strategy

5. Market Insights

• 5.1. Consumer Insights & End-User Perspective
• 5.2. Consumer Experience Benchmarking
• 5.3. Opportunity Mapping
• 5.4. Distribution Channel Analysis
• 5.5. Pricing Trend Analysis
• 5.6. Regulatory Compliance & Standards Framework
• 5.7. ESG & Sustainability Analysis
• 5.8. Disruption & Risk Scenarios
• 5.9. Return on Investment & Cost-Benefit Analysis

6. Cumulative Impact of Artificial Intelligence 2026

7. Magnetic Resonance Imaging Market, by Product Type

• 7.1. Closed MRI
• 7.2. Open MRI

8. Magnetic Resonance Imaging Market, by Component

• 8.1. Hardware
• 8.2. Software
• 8.3. Services

9. Magnetic Resonance Imaging Market, by Field Strength

• 9.1. High Field
• 9.2. Low Field
• 9.3. Ultra-High Field

10. Magnetic Resonance Imaging Market, by Magnet Type

• 10.1. Permanent
• 10.2. Resistive
• 10.3. Superconducting

11. Magnetic Resonance Imaging Market, by Coil Type

• 11.1. Body Coil
• 11.2. Cardiac Coil
• 11.3. Extremity Coil
• 11.4. Head Coil

12. Magnetic Resonance Imaging Market, by Application

• 12.1. Cardiovascular
• 12.2. Musculoskeletal
• 12.3. Neurology
  • 12.3.1. Brain Imaging
  • 12.3.2. Spinal Cord Imaging
• 12.4. Oncology
  • 12.4.1. Hematological Cancer Imaging
  • 12.4.2. Solid Tumor Imaging

13. Magnetic Resonance Imaging Market, by End User

• 13.1. Academic And Research Institutes
• 13.2. Diagnostic Imaging Centers
• 13.3. Hospitals
  • 13.3.1. Private Hospitals
  • 13.3.2. Public Hospitals

14. Magnetic Resonance Imaging Market, by Region

• 14.1. Asia-Pacific
• 14.2. North America
• 14.3. Latin America
• 14.4. Europe
• 14.5. Middle East
• 14.6. Africa

15. Magnetic Resonance Imaging Market, by Group

• 15.1. ASEAN
• 15.2. GCC
• 15.3. European Union
• 15.4. BRICS
• 15.5. G7
• 15.6. NATO

16. Magnetic Resonance Imaging Market, by Country

• 16.1. United States
• 16.2. Canada
• 16.3. Mexico
• 16.4. Brazil
• 16.5. United Kingdom
• 16.6. Germany
• 16.7. France
• 16.8. Russia
• 16.9. Italy
• 16.10. Spain
• 16.11. China
• 16.12. India
• 16.13. Japan
• 16.14. Australia
• 16.15. South Korea

17. Competitive Landscape

• 17.1. Market Concentration Analysis, 2025
  • 17.1.1. Concentration Ratio (CR)
  • 17.1.2. Herfindahl Hirschman Index (HHI)
• 17.2. Recent Developments & Impact Analysis, 2025
• 17.3. Product Portfolio Analysis, 2025
• 17.4. Benchmarking Analysis, 2025

18. Company Profiles

• 18.1. Analogic Corporation
• 18.2. ASG Superconductors spa
• 18.3. Aspect Imaging Ltd.
• 18.4. Aurora Imaging Technology, Inc.
• 18.5. Bruker Corporation
• 18.6. Canon Medical Systems Corporation
• 18.7. Esaote S.p.A.
• 18.8. Fonar Corporation
• 18.9. Fujifilm Holdings Corporation
• 18.10. GE HealthCare Technologies, Inc.
• 18.11. Hyperfine, Inc.
• 18.12. IMRIS Imaging, Inc.
• 18.13. InnerVision MRI Ltd.
• 18.14. Koninklijke Philips N.V.
• 18.15. Magnetica Ltd.
• 18.16. Medonica Co., Ltd.
• 18.17. MinFound Medical Systems Co., Ltd.
• 18.18. MR Solutions Group Ltd.
• 18.19. NeoScan Solutions GmbH
• 18.20. Neusoft Medical Systems Co., Ltd.
• 18.21. NordicNeuroLab AS
• 18.22. Scintica Instrumentation, Inc.
• 18.23. Shenzhen Anke High-Tech Co., Ltd.
• 18.24. Shenzhen Basda Medical Apparatus Co., Ltd.
• 18.25. Siemens Healthineers AG
• 18.26. SternMed GmbH
• 18.27. Synaptive Medical
• 18.28. Time Medical Limited
• 18.29. United Imaging Healthcare Co., Ltd.
• 18.30. Xingaoyi Medical Equipment Co.,Ltd.