The global artificial intelligence in medical imaging market size was valued at USD 5.1 billion in 2021 and is expected to reach at USD 9.78 billion by 2030, poised to grow at a CAGR of 7.5% from 2022 to 2030.
Market Overview
Medical imaging can be described as the diagnostic procedure that involves the creation of visual aids and image representations of the human body, and involves the monitoring of performance and functioning of the organs of the human body. With the integration of artificial intelligence (AI) in healthcare and medical imaging, there is a change in the way the diagnostics and the entire procedure is carried out. The AI assists the surgeons in carrying out the image capturing process and how to diagnose these images for the conclusion and personalized treatment in respect to every individual and patient. Artificial intelligence mainly consists of two types, robots and machine learning. Machine learning involves the recognition and application of algorithm in computer systems for the rendering of images. Whereas, robots are engaged in the assistance of patients, doctors and operators in the visualization and diagnostic procedures.
Scope of The Report
Report Coverage | Details |
Market Size in 2021 | USD 5.1 billion |
Revenue Forecast by 2030 | USD 9.78 billion |
Growth rate from 2022 to 2030 | CAGR of 7.5% |
Base Year | 2021 |
Forecast Period | 2022 to 2030 |
Segmentation | Clinical Application, Solution, Technology, End User, region |
Companies Covered | BenevolentAI, OrCam, Babylon, Freenome Inc., Clarify Health Solutions ,BioXcel Therapeutics, Ada Health GmbH, GNS Healthcare,, Zebra Medical Vision Inc., Qventus Inc, IDx Technologies Inc., K Health, Prognos, Medopad Ltd., Viz.ai Inc., Voxel Technology, Renalytix AI plc, Beijing Pushing Technology Co. Ltd., PAIGE, mPulse Mobile, Suki AI Inc., BERG LLC, Zealth Inc., OWKIN INC., Others |
Market Drivers:
Market Restraints:
Key questions answered in this report-:
Key Market Players
Market Segmentation
By Application
By Clinical Applications
By Offering
By Technology
By Deployment Type
By End-User
By Geography
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. End-User Procurement Analysis
4.3.2. Sales and Distribution Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Artificial Intelligence (AI) in MRI Market
5.1. COVID-19 Landscape: Artificial Intelligence (AI) 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
Chapter 6. Market Dynamics Analysis and Trends
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 (AI) in MRI Market, By Application
8.1. Artificial Intelligence (AI) in MRI Market, by Application, 2022-2030
8.1.1. X-Ray
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. CT
8.1.2.1. Market Revenue and Forecast (2017-2030)
8.1.3. MRI
8.1.3.1. Market Revenue and Forecast (2017-2030)
8.1.4. Ultrasound
8.1.4.1. Market Revenue and Forecast (2017-2030)
8.1.5. Molecular Imaging
8.1.5.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Artificial Intelligence (AI) in MRI Market, By Clinical Applications
9.1. Artificial Intelligence (AI) in MRI Market, by Clinical Applications, 2022-2030
9.1.1. Breast
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. Lung
9.1.2.1. Market Revenue and Forecast (2017-2030)
9.1.3. Neurology
9.1.3.1. Market Revenue and Forecast (2017-2030)
9.1.4. Cardiovascular
9.1.4.1. Market Revenue and Forecast (2017-2030)
9.1.5. Liver
9.1.5.1. Market Revenue and Forecast (2017-2030)
9.1.6. Prostate
9.1.6.1. Market Revenue and Forecast (2017-2030)
9.1.7. Colon
9.1.7.1. Market Revenue and Forecast (2017-2030)
9.1.8. Musculoskeletal
9.1.8.1. Market Revenue and Forecast (2017-2030)
9.1.9. Others
9.1.9.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Artificial Intelligence (AI) in MRI Market, By Offering
10.1. Artificial Intelligence (AI) in MRI Market, by Offering, 2022-2030
10.1.1. Hardware
10.1.1.1. Market Revenue and Forecast (2017-2030)
10.1.2. Software
10.1.2.1. Market Revenue and Forecast (2017-2030)
10.1.3. Services
10.1.3.1. Market Revenue and Forecast (2017-2030)
Chapter 11. Global Artificial Intelligence (AI) in MRI Market, By Technology
11.1. Artificial Intelligence (AI) in MRI Market, by Technology, 2022-2030
11.1.1. Deep Learning
11.1.1.1. Market Revenue and Forecast (2017-2030)
11.1.2. Computer Vision
11.1.2.1. Market Revenue and Forecast (2017-2030)
11.1.3. NLP
11.1.3.1. Market Revenue and Forecast (2017-2030)
11.1.4. Others
11.1.4.1. Market Revenue and Forecast (2017-2030)
Chapter 12. Global Artificial Intelligence (AI) in MRI Market, By Deployment Type
12.1. Artificial Intelligence (AI) in MRI Market, by Deployment Type, 2022-2030
12.1.1. On-Premise
12.1.1.1. Market Revenue and Forecast (2017-2030)
12.1.2. Cloud
12.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 13. Global Artificial Intelligence (AI) in MRI Market, By End-User
13.1. Artificial Intelligence (AI) in MRI Market, by End-User, 2022-2030
13.1.1. Hospitals
13.1.1.1. Market Revenue and Forecast (2017-2030)
13.1.2. Clinics
13.1.2.1. Market Revenue and Forecast (2017-2030)
13.1.3. Research Laboratories
13.1.3.1. Market Revenue and Forecast (2017-2030)
13.1.4. Others
13.1.4.1. Market Revenue and Forecast (2017-2030)
Chapter 14. Global Artificial Intelligence (AI) in MRI Market, Regional Estimates and Trend Forecast
14.1. North America
14.1.1. Market Revenue and Forecast, by Application (2017-2030)
14.1.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.1.3. Market Revenue and Forecast, by Offering (2017-2030)
14.1.4. Market Revenue and Forecast, by Technology (2017-2030)
14.1.5. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.1.6. Market Revenue and Forecast, by End-User (2017-2030)
14.1.7. U.S.
14.1.7.1. Market Revenue and Forecast, by Application (2017-2030)
14.1.7.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.1.7.3. Market Revenue and Forecast, by Offering (2017-2030)
14.1.7.4. Market Revenue and Forecast, by Technology (2017-2030)
14.1.8. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.1.8.1. Market Revenue and Forecast, by End-User (2017-2030)
14.1.9. Rest of North America
14.1.9.1. Market Revenue and Forecast, by Application (2017-2030)
14.1.9.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.1.9.3. Market Revenue and Forecast, by Offering (2017-2030)
14.1.9.4. Market Revenue and Forecast, by Technology (2017-2030)
14.1.10. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.1.11. Market Revenue and Forecast, by End-User (2017-2030)
14.1.11.1.
14.2. Europe
14.2.1. Market Revenue and Forecast, by Application (2017-2030)
14.2.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.2.3. Market Revenue and Forecast, by Offering (2017-2030)
14.2.4. Market Revenue and Forecast, by Technology (2017-2030)
14.2.5. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.2.6. Market Revenue and Forecast, by End-User (2017-2030)
14.2.7.
14.2.8. UK
14.2.8.1. Market Revenue and Forecast, by Application (2017-2030)
14.2.8.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.2.8.3. Market Revenue and Forecast, by Offering (2017-2030)
14.2.9. Market Revenue and Forecast, by Technology (2017-2030)
14.2.10. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.2.10.1. Market Revenue and Forecast, by End-User (2017-2030)
14.2.11. Germany
14.2.11.1. Market Revenue and Forecast, by Application (2017-2030)
14.2.11.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.2.11.3. Market Revenue and Forecast, by Offering (2017-2030)
14.2.12. Market Revenue and Forecast, by Technology (2017-2030)
14.2.13. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.2.14. Market Revenue and Forecast, by End-User (2017-2030)
14.2.14.1.
14.2.15. France
14.2.15.1. Market Revenue and Forecast, by Application (2017-2030)
14.2.15.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.2.15.3. Market Revenue and Forecast, by Offering (2017-2030)
14.2.15.4. Market Revenue and Forecast, by Technology (2017-2030)
14.2.16. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.2.16.1. Market Revenue and Forecast, by End-User (2017-2030)
14.2.17. Rest of Europe
14.2.17.1. Market Revenue and Forecast, by Application (2017-2030)
14.2.17.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.2.17.3. Market Revenue and Forecast, by Offering (2017-2030)
14.2.17.4. Market Revenue and Forecast, by Technology (2017-2030)
14.2.18. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.2.18.1. Market Revenue and Forecast, by End-User (2017-2030)
14.3. APAC
14.3.1. Market Revenue and Forecast, by Application (2017-2030)
14.3.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.3.3. Market Revenue and Forecast, by Offering (2017-2030)
14.3.4. Market Revenue and Forecast, by Technology (2017-2030)
14.3.5. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.3.6. Market Revenue and Forecast, by End-User (2017-2030)
14.3.7. India
14.3.7.1. Market Revenue and Forecast, by Application (2017-2030)
14.3.7.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.3.7.3. Market Revenue and Forecast, by Offering (2017-2030)
14.3.7.4. Market Revenue and Forecast, by Technology (2017-2030)
14.3.8. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.3.9. Market Revenue and Forecast, by End-User (2017-2030)
14.3.10. China
14.3.10.1. Market Revenue and Forecast, by Application (2017-2030)
14.3.10.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.3.10.3. Market Revenue and Forecast, by Offering (2017-2030)
14.3.10.4. Market Revenue and Forecast, by Technology (2017-2030)
14.3.11. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.3.11.1. Market Revenue and Forecast, by End-User (2017-2030)
14.3.12. Japan
14.3.12.1. Market Revenue and Forecast, by Application (2017-2030)
14.3.12.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.3.12.3. Market Revenue and Forecast, by Offering (2017-2030)
14.3.12.4. Market Revenue and Forecast, by Technology (2017-2030)
14.3.12.5. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.3.12.6. Market Revenue and Forecast, by End-User (2017-2030)
14.3.13. Rest of APAC
14.3.13.1. Market Revenue and Forecast, by Application (2017-2030)
14.3.13.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.3.13.3. Market Revenue and Forecast, by Offering (2017-2030)
14.3.13.4. Market Revenue and Forecast, by Technology (2017-2030)
14.3.13.5. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.3.13.6. Market Revenue and Forecast, by End-User (2017-2030)
14.4. MEA
14.4.1. Market Revenue and Forecast, by Application (2017-2030)
14.4.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.4.3. Market Revenue and Forecast, by Offering (2017-2030)
14.4.4. Market Revenue and Forecast, by Technology (2017-2030)
14.4.5. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.4.6. Market Revenue and Forecast, by End-User (2017-2030)
14.4.7. GCC
14.4.7.1. Market Revenue and Forecast, by Application (2017-2030)
14.4.7.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.4.7.3. Market Revenue and Forecast, by Offering (2017-2030)
14.4.7.4. Market Revenue and Forecast, by Technology (2017-2030)
14.4.8. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.4.9. Market Revenue and Forecast, by End-User (2017-2030)
14.4.10. North Africa
14.4.10.1. Market Revenue and Forecast, by Application (2017-2030)
14.4.10.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.4.10.3. Market Revenue and Forecast, by Offering (2017-2030)
14.4.10.4. Market Revenue and Forecast, by Technology (2017-2030)
14.4.11. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.4.12. Market Revenue and Forecast, by End-User (2017-2030)
14.4.13. South Africa
14.4.13.1. Market Revenue and Forecast, by Application (2017-2030)
14.4.13.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.4.13.3. Market Revenue and Forecast, by Offering (2017-2030)
14.4.13.4. Market Revenue and Forecast, by Technology (2017-2030)
14.4.13.5. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.4.13.6. Market Revenue and Forecast, by End-User (2017-2030)
14.4.14. Rest of MEA
14.4.14.1. Market Revenue and Forecast, by Application (2017-2030)
14.4.14.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.4.14.3. Market Revenue and Forecast, by Offering (2017-2030)
14.4.14.4. Market Revenue and Forecast, by Technology (2017-2030)
14.4.14.5. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.4.14.6. Market Revenue and Forecast, by End-User (2017-2030)
14.5. Latin America
14.5.1. Market Revenue and Forecast, by Application (2017-2030)
14.5.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.5.3. Market Revenue and Forecast, by Offering (2017-2030)
14.5.4. Market Revenue and Forecast, by Technology (2017-2030)
14.5.5. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.5.6. Market Revenue and Forecast, by End-User (2017-2030)
14.5.7. Brazil
14.5.7.1. Market Revenue and Forecast, by Application (2017-2030)
14.5.7.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.5.7.3. Market Revenue and Forecast, by Offering (2017-2030)
14.5.7.4. Market Revenue and Forecast, by Technology (2017-2030)
14.5.8. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.5.8.1. Market Revenue and Forecast, by End-User (2017-2030)
14.5.9. Rest of LATAM
14.5.9.1. Market Revenue and Forecast, by Application (2017-2030)
14.5.9.2. Market Revenue and Forecast, by Clinical Applications (2017-2030)
14.5.9.3. Market Revenue and Forecast, by Offering (2017-2030)
14.5.9.4. Market Revenue and Forecast, by Technology (2017-2030)
14.5.9.5. Market Revenue and Forecast, by Deployment Type (2017-2030)
14.5.9.6. Market Revenue and Forecast, by End-User (2017-2030)
Chapter 15. Company Profiles
15.1. BenevolentAI
15.1.1. Company Overview
15.1.2. Product Offerings
15.1.3. Financial Performance
15.1.4. Recent Initiatives
15.2. OrCam
15.2.1. Company Overview
15.2.2. Product Offerings
15.2.3. Financial Performance
15.2.4. Recent Initiatives
15.3. Babylon
15.3.1. Company Overview
15.3.2. Product Offerings
15.3.3. Financial Performance
15.3.4. Recent Initiatives
15.4. Freenome Inc.
15.4.1. Company Overview
15.4.2. Product Offerings
15.4.3. Financial Performance
15.4.4. Recent Initiatives
15.5. Clarify Health Solutions
15.5.1. Company Overview
15.5.2. Product Offerings
15.5.3. Financial Performance
15.5.4. Recent Initiatives
15.6. BioXcel Therapeutics
15.6.1. Company Overview
15.6.2. Product Offerings
15.6.3. Financial Performance
15.6.4. Recent Initiatives
15.7. Ada Health GmbH
15.7.1. Company Overview
15.7.2. Product Offerings
15.7.3. Financial Performance
15.7.4. Recent Initiatives
15.8. GNS Healthcare
15.8.1. Company Overview
15.8.2. Product Offerings
15.8.3. Financial Performance
15.8.4. Recent Initiatives
15.9. Zebra Medical Vision Inc.
15.9.1. Company Overview
15.9.2. Product Offerings
15.9.3. Financial Performance
15.9.4. Recent Initiatives
15.10. Qventus Inc
15.10.1. Company Overview
15.10.2. Product Offerings
15.10.3. Financial Performance
15.10.4. Recent Initiatives
Chapter 16. Research Methodology
16.1. Primary Research
16.2. Secondary Research
16.3. Assumptions
Chapter 17. Appendix
17.1. About Us
17.2. Glossary of Terms