수술 중 MRI(iMRI) 시장 : 시스템 유형별, 기술 유형별, 자석 기술별, 자장 강도별, 스캐너 유형별, 용도별, 최종 사용자별 시장 예측(2026-2032년)

The Intraoperative MRI Market is projected to grow by USD 4.80 billion at a CAGR of 12.62% by 2032.

Intraoperative MRI (iMRI) is becoming a strategic capability for hospitals and surgical centers that manage complex neurosurgery, spine surgery, and select oncologic procedures. By enabling magnetic resonance imaging during an operation, iMRI supports real-time assessment of tumor resection, brain shift, anatomy displacement, surgical complications, and the need for immediate surgical adjustment before wound closure.

For healthcare providers, the intraoperative MRI market is shaped by the clinical push toward maximal safe resection, precision-guided surgery, hybrid operating rooms, and measurable improvements in surgical workflow. Demand is strongest in tertiary care hospitals, academic medical centers, and cancer institutes where neurosurgical case volume, multidisciplinary expertise, MRI safety governance, and capital investment capacity support adoption.

Transformative Shifts in the iMRI Landscape

The iMRI landscape is shifting from isolated high-capital installations toward integrated surgical ecosystems that combine imaging, navigation, robotics, anesthesia infrastructure, MRI-compatible instruments, and digital workflow tools. Hospitals are increasingly evaluating iMRI not as a standalone scanner, but as a platform that can improve intraoperative decision-making, reduce uncertainty, and support multidisciplinary care.

Technology decisions are also moving toward flexible room designs, improved magnet mobility, advanced coils, faster sequences, low-field and high-field configuration choices, and compatibility with surgical navigation platforms. These shifts are significant because operating room time, infection control, staff training, MRI safety zoning, and imaging throughput remain central factors in the return on investment for iMRI-enabled programs.

Cumulative Impact of Artificial Intelligence in iMRI

Artificial intelligence is beginning to influence intraoperative MRI through faster image reconstruction, automated segmentation, decision support, image registration, and workflow orchestration. In surgical environments where timing is critical, AI-assisted reconstruction and interpretation can help reduce delays while supporting consistent visualization of residual lesions, edema, bleeding, and anatomy displacement.

The cumulative impact of AI is expected to be operational as much as clinical. Hospitals can use AI to standardize imaging protocols, support quality assurance, improve surgical planning, and generate structured data for outcomes research. However, deployment must align with regulatory requirements, cybersecurity standards, clinical validation, data governance, and clear accountability between surgeons, radiologists, anesthesiology teams, and technology teams.

Key Regional Insights for Intraoperative MRI

North America remains a leading region for intraoperative MRI adoption due to advanced hospital infrastructure, strong neurosurgical specialization, access to high-field imaging systems, and established reimbursement pathways for complex surgical care. The United States is particularly influential because academic medical centers and cancer hospitals continue to invest in hybrid operating rooms, image-guided neurosurgery, and MRI-compatible surgical workflows, while Canada's adoption is shaped by provincial procurement, centralized tertiary care, and evidence-based health technology assessment.

Europe demonstrates steady demand through university hospitals, public health systems, and specialized oncology and neurosurgery networks, with adoption shaped by procurement cycles, medical device regulation, and technology assessment frameworks. Asia-Pacific is gaining momentum as China, Japan, South Korea, India, Australia, and ASEAN countries expand advanced surgical capacity, though adoption varies widely by hospital tier, urban concentration, clinical training depth, and funding model. Latin America shows selective uptake led by Brazil, Mexico, and advanced private hospital networks, while the Middle East is supported by tertiary care investment in GCC countries and national specialty hospital programs. Africa remains at an earlier stage, with deployment concentrated in major urban referral centers where MRI infrastructure, specialist workforce availability, and capital budgeting determine feasibility.

Key Group Insights Across ASEAN, GCC, EU, BRICS, G7, and NATO

Within the European Union, intraoperative MRI demand is supported by research hospitals, cross-border clinical collaboration, regulated procurement, and a strong emphasis on evidence-based adoption of advanced surgical imaging. G7 markets provide a mature base for premium imaging systems because of advanced surgical infrastructure, high healthcare spending, established clinical training pathways, and strong academic neurosurgery networks. NATO countries overlap significantly with high-income healthcare systems, creating demand for resilient hospital infrastructure, advanced trauma care, and neurosurgical capabilities that can support complex cranial and spine procedures.

BRICS markets are increasingly important as China, India, and Brazil invest in high-acuity healthcare, oncology centers, and neurosurgical capacity, while Russia and South Africa show more selective adoption tied to public procurement priorities and major referral institutions. ASEAN adoption is concentrated in Singapore, Thailand, Malaysia, Indonesia, Vietnam, and the Philippines, with stronger momentum in countries that combine private hospital growth, medical tourism, and specialist training. GCC markets, particularly Saudi Arabia, the United Arab Emirates, Qatar, and Kuwait, are investing in tertiary care hospitals and specialty centers, making the region a strategic opportunity for integrated iMRI suites, MRI safety programs, clinical training, and long-term service models.

Key Country Insights for Intraoperative MRI Adoption

The United States leads iMRI commercialization through academic hospitals, integrated delivery networks, and specialty cancer centers, supported by advanced neurosurgical practice and strong adoption of image-guided surgery. Canada shows targeted adoption within provincial hospital systems and tertiary care networks, while Mexico and Brazil demonstrate demand from private hospitals and leading public referral institutions that serve complex oncology and neurosurgery cases. In Europe, the United Kingdom, Germany, France, Italy, and Spain support intraoperative MRI through advanced neurosurgical centers, university hospitals, and national health system procurement, while Russia's adoption is more dependent on centralized purchasing, regional healthcare investment, and availability of specialized MRI and surgical teams.

China is expanding advanced imaging capacity rapidly, with iMRI potential tied to major urban hospitals, oncology centers, and government support for high-end medical technology infrastructure. India's opportunity is concentrated in metropolitan multispecialty hospitals where neurosurgical volume, private investment, and demand for advanced cancer care are rising. Japan and South Korea show strong alignment with precision surgery, advanced medical technology adoption, and highly specialized hospital networks, while Australia benefits from tertiary hospital systems, established neurosurgical expertise, and structured clinical governance for advanced imaging. Across these countries, successful deployment depends on MRI-compatible operating room design, trained multidisciplinary teams, service reliability, and clear evidence linking iMRI use to surgical decision-making and patient outcomes.

Actionable Recommendations for Industry Leaders

Hospital leaders should begin with a case-volume and clinical outcomes assessment before committing to intraoperative MRI infrastructure. The strongest business cases typically align neurosurgery, neuroradiology, anesthesia, oncology, operating room management, facilities planning, biomedical engineering, infection control, and finance around a shared operating model.

Providers should prioritize workflow simulation, staff credentialing, MRI safety governance, service uptime guarantees, emergency protocols, and integration with navigation, robotics, picture archiving, and electronic health record systems. Executives should also develop an evidence plan that tracks extent of resection, reoperation avoidance, procedure time, length of stay, complications, readmissions, and patient outcomes to support long-term value measurement.

Research Methodology

This executive summary is developed from a structured review of verified secondary sources, including peer-reviewed neurosurgical literature, medical imaging guidelines, regulatory information, hospital procurement trends, product documentation, public healthcare infrastructure data, and clinical practice publications related to intraoperative MRI and image-guided surgery. Insights are interpreted through clinical, technological, regional, and operational lenses relevant to the iMRI market.

The methodology emphasizes triangulation rather than reliance on a single source. Clinical evidence, technology adoption signals, regional healthcare investment patterns, regulatory considerations, hospital infrastructure indicators, and expert market observations are compared to identify durable trends while avoiding unverified claims, company-specific claims, unsupported market estimates, market sizing, market share analysis, or market forecasting.

Conclusion

The intraoperative MRI market is moving toward integrated, AI-enabled surgical imaging environments that support precision, safety, and real-time decision-making. While capital cost, MRI safety requirements, installation complexity, and operating room workflow disruption remain barriers, the clinical value of intraoperative visualization is increasingly relevant for high-acuity hospitals focused on advanced neurosurgery, spine surgery, and oncology.

Organizations that align iMRI investment with measurable clinical outcomes, digital integration, multidisciplinary execution, and sustainable service models will be better positioned to capture long-term value. As AI, hybrid operating room design, and image-guided surgery mature, iMRI is expected to remain a differentiated capability in premium surgical care and a critical enabler of precision intervention.

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. Intraoperative MRI Market, by System Type

• 7.1. Movable Systems
• 7.2. Stationary Systems

8. Intraoperative MRI Market, by Technology Type

• 8.1. Standalone iMRI systems
• 8.2. Image-Guided Surgery (IGS) Integrated Systems
• 8.3. Robotic-Assisted Surgery Integrated Systems

9. Intraoperative MRI Market, by Magnet Technology

• 9.1. Superconducting Magnets
• 9.2. Permanent Magnets
• 9.3. Resistive Magnets

10. Intraoperative MRI Market, by Field Strength

• 10.1. Below 0.5 T
• 10.2. 0.5 T - 3.0 T
• 10.3. Above 3.0 T

11. Intraoperative MRI Market, by Scanner Type

• 11.1. Closed Bore
• 11.2. Open Bore

12. Intraoperative MRI Market, by Application

• 12.1. Cardiovascular
• 12.2. Neurosurgery
  • 12.2.1. Craniotomy
  • 12.2.2. Spinal Surgery
• 12.3. Oncology
  • 12.3.1. Biopsy Guidance
  • 12.3.2. Tumor Resection
• 12.4. Orthopedic

13. Intraoperative MRI Market, by End User

• 13.1. Ambulatory Surgical Centers
• 13.2. Hospitals & Clinics
• 13.3. Academic & Research Institutes

14. Intraoperative MRI 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. Intraoperative MRI Market, by Group

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

16. Intraoperative MRI 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. Aspect Imaging Ltd
• 18.2. Aurora Imaging Technology
• 18.3. Brainlab AG
• 18.4. Canon Medical Systems Corporation
• 18.5. Esaote S.p.A.
• 18.6. FONAR Corporation
• 18.7. FUJIFILM Holdings Corporation
• 18.8. GE HealthCare Technologies Inc
• 18.9. Hitachi Ltd
• 18.10. Hyperfine Inc
• 18.11. IMRIS
• 18.12. Koninklijke Philips N.V.
• 18.13. Magnetica Ltd
• 18.14. Medtronic plc
• 18.15. NeuroLogica Corp
• 18.16. Neusoft Medical Systems Co Ltd
• 18.17. Oxford Instruments plc
• 18.18. Shenzhen Anke High-Tech Co Ltd
• 18.19. Shimadzu Corporation
• 18.20. Siemens Healthineers AG
• 18.21. Stryker Corporation
• 18.22. Synaptive Medical
• 18.23. Time Medical Systems
• 18.24. United Imaging Healthcare Co Ltd