Artificial Intelligence in MRI Market Size, Share, and Trends 2026 to 2035

Artificial Intelligence in MRI Market (By Clinical Applications: Musculoskeletal, Colon, Prostate, Liver, Cardiovascular, Neurology, Lung, Breast, Others; By Offering Type: Hardware, Software, Services; By Technology: Deep learning, Machine learning, Computer vision, NLP (Natural Language Processing), Speech recognition, Querying method, Other; By Deployment Type: On-premise, Cloud; By End-User: Hospitals, Clinics, Research and laboratories, Others) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2026 to 2035

Last Updated : 04 Dec 2024  |  Report Code : 2185  |  Category : Healthcare   |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Artificial Intelligence in MRI Market 

5.1. COVID-19 Landscape: Artificial Intelligence in MRI Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Artificial Intelligence in MRI Market, By Clinical Applications

8.1. Artificial Intelligence in MRI Market, by Clinical Applications

8.1.1. Musculoskeletal

8.1.1.1. Market Revenue and Forecast

8.1.2. Colon

8.1.2.1. Market Revenue and Forecast

8.1.3. Prostate

8.1.3.1. Market Revenue and Forecast

8.1.4. Liver

8.1.4.1. Market Revenue and Forecast

8.1.5. Cardiovascular

8.1.5.1. Market Revenue and Forecast

8.1.6. Neurology

8.1.6.1. Market Revenue and Forecast

8.1.7. Lung

8.1.7.1. Market Revenue and Forecast

8.1.8. Breast

8.1.8.1. Market Revenue and Forecast

8.1.9. Others

8.1.9.1. Market Revenue and Forecast

Chapter 9. Global Artificial Intelligence in MRI Market, By Offering Type

9.1. Artificial Intelligence in MRI Market, by Offering Type

9.1.1. Hardware

9.1.1.1. Market Revenue and Forecast

9.1.2. Software

9.1.2.1. Market Revenue and Forecast

9.1.3. Services

9.1.3.1. Market Revenue and Forecast

Chapter 10. Global Artificial Intelligence in MRI Market, By Technology 

10.1. Artificial Intelligence in MRI Market, by Technology

10.1.1. Deep learning

10.1.1.1. Market Revenue and Forecast

10.1.2. Machine learning

10.1.2.1. Market Revenue and Forecast

10.1.3. Computer vision

10.1.3.1. Market Revenue and Forecast

10.1.4. NLP (Natural Language Processing)

10.1.4.1. Market Revenue and Forecast

10.1.5. Speech recognition

10.1.5.1. Market Revenue and Forecast

10.1.5. Querying method

10.1.5.1. Market Revenue and Forecast

10.1.5. Other

10.1.5.1. Market Revenue and Forecast

Chapter 11. Global Artificial Intelligence in MRI Market, By Deployment Type

11.1. Artificial Intelligence in MRI Market, by Deployment Type

11.1.1. On-premise

11.1.1.1. Market Revenue and Forecast

11.1.2. Cloud

11.1.2.1. Market Revenue and Forecast

Chapter 12. Global Artificial Intelligence in MRI Market, By End-User

12.1. Artificial Intelligence in MRI Market, by End-User

12.1.1. Hospitals

12.1.1.1. Market Revenue and Forecast

12.1.2. Clinics

12.1.2.1. Market Revenue and Forecast

12.1.3. Research and laboratories

12.1.3.1. Market Revenue and Forecast

12.1.4. Others

12.1.4.1. Market Revenue and Forecast

Chapter 13. Global Artificial Intelligence in MRI Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Clinical Applications

13.1.2. Market Revenue and Forecast, by Offering Type

13.1.3. Market Revenue and Forecast, by Technology

13.1.4. Market Revenue and Forecast, by Deployment Type

13.1.5. Market Revenue and Forecast, by End-User

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Clinical Applications

13.1.6.2. Market Revenue and Forecast, by Offering Type

13.1.6.3. Market Revenue and Forecast, by Technology

13.1.6.4. Market Revenue and Forecast, by Deployment Type

13.1.6.5. Market Revenue and Forecast, by End-User  

13.1.7. Rest of North America

13.1.7.1. Market Revenue and Forecast, by Clinical Applications

13.1.7.2. Market Revenue and Forecast, by Offering Type

13.1.7.3. Market Revenue and Forecast, by Technology

13.1.7.4. Market Revenue and Forecast, by Deployment Type

13.1.7.5. Market Revenue and Forecast, by End-User

13.2. Europe

13.2.1. Market Revenue and Forecast, by Clinical Applications

13.2.2. Market Revenue and Forecast, by Offering Type

13.2.3. Market Revenue and Forecast, by Technology

13.2.4. Market Revenue and Forecast, by Deployment Type  

13.2.5. Market Revenue and Forecast, by End-User  

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Clinical Applications

13.2.6.2. Market Revenue and Forecast, by Offering Type

13.2.6.3. Market Revenue and Forecast, by Technology

13.2.7. Market Revenue and Forecast, by Deployment Type  

13.2.8. Market Revenue and Forecast, by End-User  

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Clinical Applications

13.2.9.2. Market Revenue and Forecast, by Offering Type

13.2.9.3. Market Revenue and Forecast, by Technology

13.2.10. Market Revenue and Forecast, by Deployment Type

13.2.11. Market Revenue and Forecast, by End-User

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Clinical Applications

13.2.12.2. Market Revenue and Forecast, by Offering Type

13.2.12.3. Market Revenue and Forecast, by Technology

13.2.12.4. Market Revenue and Forecast, by Deployment Type

13.2.13. Market Revenue and Forecast, by End-User

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Clinical Applications

13.2.14.2. Market Revenue and Forecast, by Offering Type

13.2.14.3. Market Revenue and Forecast, by Technology

13.2.14.4. Market Revenue and Forecast, by Deployment Type

13.2.15. Market Revenue and Forecast, by End-User

13.3. APAC

13.3.1. Market Revenue and Forecast, by Clinical Applications

13.3.2. Market Revenue and Forecast, by Offering Type

13.3.3. Market Revenue and Forecast, by Technology

13.3.4. Market Revenue and Forecast, by Deployment Type

13.3.5. Market Revenue and Forecast, by End-User

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Clinical Applications

13.3.6.2. Market Revenue and Forecast, by Offering Type

13.3.6.3. Market Revenue and Forecast, by Technology

13.3.6.4. Market Revenue and Forecast, by Deployment Type

13.3.7. Market Revenue and Forecast, by End-User

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Clinical Applications

13.3.8.2. Market Revenue and Forecast, by Offering Type

13.3.8.3. Market Revenue and Forecast, by Technology

13.3.8.4. Market Revenue and Forecast, by Deployment Type

13.3.9. Market Revenue and Forecast, by End-User

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Clinical Applications

13.3.10.2. Market Revenue and Forecast, by Offering Type

13.3.10.3. Market Revenue and Forecast, by Technology

13.3.10.4. Market Revenue and Forecast, by Deployment Type

13.3.10.5. Market Revenue and Forecast, by End-User

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Clinical Applications

13.3.11.2. Market Revenue and Forecast, by Offering Type

13.3.11.3. Market Revenue and Forecast, by Technology

13.3.11.4. Market Revenue and Forecast, by Deployment Type

13.3.11.5. Market Revenue and Forecast, by End-User

13.4. MEA

13.4.1. Market Revenue and Forecast, by Clinical Applications

13.4.2. Market Revenue and Forecast, by Offering Type

13.4.3. Market Revenue and Forecast, by Technology

13.4.4. Market Revenue and Forecast, by Deployment Type

13.4.5. Market Revenue and Forecast, by End-User

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Clinical Applications

13.4.6.2. Market Revenue and Forecast, by Offering Type

13.4.6.3. Market Revenue and Forecast, by Technology

13.4.6.4. Market Revenue and Forecast, by Deployment Type

13.4.7. Market Revenue and Forecast, by End-User

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Clinical Applications

13.4.8.2. Market Revenue and Forecast, by Offering Type

13.4.8.3. Market Revenue and Forecast, by Technology

13.4.8.4. Market Revenue and Forecast, by Deployment Type

13.4.9. Market Revenue and Forecast, by End-User

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Clinical Applications

13.4.10.2. Market Revenue and Forecast, by Offering Type

13.4.10.3. Market Revenue and Forecast, by Technology

13.4.10.4. Market Revenue and Forecast, by Deployment Type

13.4.10.5. Market Revenue and Forecast, by End-User

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Clinical Applications

13.4.11.2. Market Revenue and Forecast, by Offering Type

13.4.11.3. Market Revenue and Forecast, by Technology

13.4.11.4. Market Revenue and Forecast, by Deployment Type

13.4.11.5. Market Revenue and Forecast, by End-User

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Clinical Applications

13.5.2. Market Revenue and Forecast, by Offering Type

13.5.3. Market Revenue and Forecast, by Technology

13.5.4. Market Revenue and Forecast, by Deployment Type

13.5.5. Market Revenue and Forecast, by End-User

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Clinical Applications

13.5.6.2. Market Revenue and Forecast, by Offering Type

13.5.6.3. Market Revenue and Forecast, by Technology

13.5.6.4. Market Revenue and Forecast, by Deployment Type

13.5.7. Market Revenue and Forecast, by End-User

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Clinical Applications

13.5.8.2. Market Revenue and Forecast, by Offering Type

13.5.8.3. Market Revenue and Forecast, by Technology

13.5.8.4. Market Revenue and Forecast, by Deployment Type

13.5.8.5. Market Revenue and Forecast, by End-User

Chapter 14. Company Profiles

14.1. IBM Corporation

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. Bay Labs Inc

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. Resonance Health Ltd

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. Zebra Medical Vision Inc

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. Samsung Electronics Co.Ltd

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. Arterys Inc.

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. Koninklijke Philips N.V.

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. Nuance Communications Inc.

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. Siemens Healthneer AG

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. OrCam

14.10.1. Company Overview

14.10.2. Product Offerings

14.10.3. Financial Performance

14.10.4. Recent Initiatives

Chapter 15. Research Methodology

15.1. Primary Research

15.2. Secondary Research

15.3. Assumptions

Chapter 16. Appendix

16.1. About Us

16.2. Glossary of Terms

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Frequently Asked Questions

Answer : The global artificial intelligence in MRI market size was accounted at USD 6.48 billion in 2024 and it is expected to reach around USD 16.65 billion by 2034.

Answer : The global artificial intelligence in MRI market is poised to grow at a CAGR of 9.89% from 2024 to 2034.

Answer : The major players operating in the artificial intelligence in MRI market are IBM Corporation, Bay Labs Inc, Resonance Health Ltd, Zebra Medical Vision Inc, Samsung Electronics Co.Ltd, Arterys Inc., Koninklijke Philips N.V., Nuance Communications Inc., Siemens Healthneer AG, OrCam, NVIDIA Corporation, Freenome Holdings Inc., Clarify Health Solutions, BioXcel Therapeutics, GNS Healthcare, Qventus, K Health Inc, Huma, Voxel, OWKIN INC., BERG LLC, Suki Al Inc, Renalytix, Babylon, Aga Health GmbH, and Others.

Answer : The advanced developed technologies developed with increased software system and increasing number of chronic disorders among the population with changing lifestyle are driving the growth of the artificial intelligence in MRI market.

Answer : North America region will lead the global artificial intelligence in MRI market during the forecast period 2024 to 2034.

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