The global artificial intelligence in magnetic resonance imaging market size accounted for US$ 5.4 billion in 2021 and is projected to reach around USD 9.8 billion by 2030, growing at a CAGR of 6.85% from 2022 to 2030.
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.
Report Summary
The global artificial intelligence in magnetic resonance imaging (MRI) market report provides a Point-by-Point and In-Depth analysis of global market size, regional and country-level market size, market share, segmentation market growth, competitive landscape, sales analysis, opportunities analysis, strategic market growth analysis, the impact of domestic and global market key players, value chain optimization, trade regulations, recent developments, product launches, area marketplace expanding, and technological innovations.
The study offers a comprehensive analysis on diverse features, including production capacities, demand, product developments, revenue generation, and sales in the artificial intelligence in magnetic resonance imaging (MRI) market across the globe.
A comprehensive estimate on the artificial intelligence in magnetic resonance imaging (MRI) market has been provided through an optimistic scenario as well as a conservative scenario, taking into account the sales of artificial intelligence in magnetic resonance imaging (MRI) during the forecast period. Price point comparison by region with global average price is also considered in the study.
Artificial Intelligence in MRI Market Scope
| Report Coverage | Details |
| Market Size in 2022 | USD 5.77 Billion |
| Market Size by 2030 | USD 9.8 Billion |
| Growth Rate from 2022 to 2030 | CAGR of 6.85% |
| Base Year | 2021 |
| Forecast Period | 2022 to 2030 |
| Segments Covered | Clinical Applications, Offering Type, Technology, Deployment Type, End-User, and Geography |
Key Highlights:
Reports Coverage: It incorporates key market sections, key makers secured, the extent of items offered in the years considered, worldwide containerized artificial intelligence in magnetic resonance imaging (MRI) market and study goals. Moreover, it contacts the division study gave in the report based on the sort of item and applications.
Market Outline: This area stresses the key investigations, market development rate, serious scene, market drivers, patterns, and issues notwithstanding the naturally visible pointers.
Market Production by Region: The report conveys information identified with import and fare, income, creation, and key players of every single local market contemplated are canvassed right now.
Also Read: Alternative Fuel and Hybrid Vehicle Market Size Analysis 2022 To 2030
Artificial Intelligence in MRI Market Players
The report includes the profiles of key artificial intelligence in magnetic resonance imaging (MRI) market companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information, key development in past five years.
Major companies operating in this area 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
- Prognos
- Medopad Ltd
- PAIGE
Market Segmentation
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
Regional Segmentation
- North America (U.S., Canada, Mexico)
- Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
- Asia-Pacific (China, Japan, India, Southeast Asia and Rest of APAC)
- Latin America (Brazil and Rest of Latin America)
- Middle East and Africa (GCC, North Africa, South Africa, Rest of MEA)
Research Methodology
Secondary Research
It involves company databases such as Hoover’s: This assists us to recognize financial information, the structure of the market participants and industry’s competitive landscape.
The secondary research sources referred in the process are as follows:
- Governmental bodies, and organizations creating economic policies
- National and international social welfare institutions
- Company websites, financial reports and SEC filings, broker and investor reports
- Related patent and regulatory databases
- Statistical databases and market reports
- Corporate Presentations, news, press release, and specification sheet of Manufacturers
Primary Research
Primary research includes face-to-face interviews, online surveys, and telephonic interviews.
- Means of primary research: Email interactions, telephonic discussions and Questionnaire-based research etc.
- In order to validate our research findings and analysis, we conduct primary interviews of key industry participants. Insights from primary respondents help in validating the secondary research findings. It also develops Research Team’s expertise and market understanding.
TABLE OF CONTENT
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
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 in MRI Market, By Clinical Applications
8.1. Artificial Intelligence in MRI Market, by Clinical Applications, 2022-2030
8.1.1. Musculoskeletal
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Colon
8.1.2.1. Market Revenue and Forecast (2017-2030)
8.1.3. Prostate
8.1.3.1. Market Revenue and Forecast (2017-2030)
8.1.4. Liver
8.1.4.1. Market Revenue and Forecast (2017-2030)
8.1.5. Cardiovascular
8.1.5.1. Market Revenue and Forecast (2017-2030)
8.1.6. Neurology
8.1.6.1. Market Revenue and Forecast (2017-2030)
8.1.7. Lung
8.1.7.1. Market Revenue and Forecast (2017-2030)
8.1.8. Breast
8.1.8.1. Market Revenue and Forecast (2017-2030)
8.1.9. Others
8.1.9.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Artificial Intelligence in MRI Market, By Offering Type
9.1. Artificial Intelligence in MRI Market, by Offering Type, 2022-2030
9.1.1. Hardware
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. Software
9.1.2.1. Market Revenue and Forecast (2017-2030)
9.1.3. Services
9.1.3.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Artificial Intelligence in MRI Market, By Technology
10.1. Artificial Intelligence in MRI Market, by Technology, 2022-2030
10.1.1. Deep learning
10.1.1.1. Market Revenue and Forecast (2017-2030)
10.1.2. Machine learning
10.1.2.1. Market Revenue and Forecast (2017-2030)
10.1.3. Computer vision
10.1.3.1. Market Revenue and Forecast (2017-2030)
10.1.4. NLP (Natural Language Processing)
10.1.4.1. Market Revenue and Forecast (2017-2030)
10.1.5. Speech recognition
10.1.5.1. Market Revenue and Forecast (2017-2030)
10.1.5. Querying method
10.1.5.1. Market Revenue and Forecast (2017-2030)
10.1.5. Other
10.1.5.1. Market Revenue and Forecast (2017-2030)
Chapter 11. Global Artificial Intelligence in MRI Market, By Deployment Type
11.1. Artificial Intelligence in MRI Market, by Deployment Type, 2022-2030
11.1.1. On-premise
11.1.1.1. Market Revenue and Forecast (2017-2030)
11.1.2. Cloud
11.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 12. Global Artificial Intelligence in MRI Market, By End-User
12.1. Artificial Intelligence in MRI Market, by End-User, 2022-2030
12.1.1. Hospitals
12.1.1.1. Market Revenue and Forecast (2017-2030)
12.1.2. Clinics
12.1.2.1. Market Revenue and Forecast (2017-2030)
12.1.3. Research and laboratories
12.1.3.1. Market Revenue and Forecast (2017-2030)
12.1.4. Others
12.1.4.1. Market Revenue and Forecast (2017-2030)
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 (2017-2030)
13.1.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.1.3. Market Revenue and Forecast, by Technology (2017-2030)
13.1.4. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.1.5. Market Revenue and Forecast, by End-User (2017-2030)
13.1.6. U.S.
13.1.6.1. Market Revenue and Forecast, by Clinical Applications (2017-2030)
13.1.6.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.1.6.3. Market Revenue and Forecast, by Technology (2017-2030)
13.1.6.4. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.1.6.5. Market Revenue and Forecast, by End-User (2017-2030)
13.1.7. Rest of North America
13.1.7.1. Market Revenue and Forecast, by Clinical Applications (2017-2030)
13.1.7.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.1.7.3. Market Revenue and Forecast, by Technology (2017-2030)
13.1.7.4. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.1.7.5. Market Revenue and Forecast, by End-User (2017-2030)
13.2. Europe
13.2.1. Market Revenue and Forecast, by Clinical Applications (2017-2030)
13.2.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.2.3. Market Revenue and Forecast, by Technology (2017-2030)
13.2.4. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.2.5. Market Revenue and Forecast, by End-User (2017-2030)
13.2.6. UK
13.2.6.1. Market Revenue and Forecast, by Clinical Applications (2017-2030)
13.2.6.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.2.6.3. Market Revenue and Forecast, by Technology (2017-2030)
13.2.7. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.2.8. Market Revenue and Forecast, by End-User (2017-2030)
13.2.9. Germany
13.2.9.1. Market Revenue and Forecast, by Clinical Applications (2017-2030)
13.2.9.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.2.9.3. Market Revenue and Forecast, by Technology (2017-2030)
13.2.10. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.2.11. Market Revenue and Forecast, by End-User (2017-2030)
13.2.12. France
13.2.12.1. Market Revenue and Forecast, by Clinical Applications (2017-2030)
13.2.12.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.2.12.3. Market Revenue and Forecast, by Technology (2017-2030)
13.2.12.4. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.2.13. Market Revenue and Forecast, by End-User (2017-2030)
13.2.14. Rest of Europe
13.2.14.1. Market Revenue and Forecast, by Clinical Applications (2017-2030)
13.2.14.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.2.14.3. Market Revenue and Forecast, by Technology (2017-2030)
13.2.14.4. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.2.15. Market Revenue and Forecast, by End-User (2017-2030)
13.3. APAC
13.3.1. Market Revenue and Forecast, by Clinical Applications (2017-2030)
13.3.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.3.3. Market Revenue and Forecast, by Technology (2017-2030)
13.3.4. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.3.5. Market Revenue and Forecast, by End-User (2017-2030)
13.3.6. India
13.3.6.1. Market Revenue and Forecast, by Clinical Applications (2017-2030)
13.3.6.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.3.6.3. Market Revenue and Forecast, by Technology (2017-2030)
13.3.6.4. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.3.7. Market Revenue and Forecast, by End-User (2017-2030)
13.3.8. China
13.3.8.1. Market Revenue and Forecast, by Clinical Applications (2017-2030)
13.3.8.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.3.8.3. Market Revenue and Forecast, by Technology (2017-2030)
13.3.8.4. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.3.9. Market Revenue and Forecast, by End-User (2017-2030)
13.3.10. Japan
13.3.10.1. Market Revenue and Forecast, by Clinical Applications (2017-2030)
13.3.10.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.3.10.3. Market Revenue and Forecast, by Technology (2017-2030)
13.3.10.4. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.3.10.5. Market Revenue and Forecast, by End-User (2017-2030)
13.3.11. Rest of APAC
13.3.11.1. Market Revenue and Forecast, by Clinical Applications (2017-2030)
13.3.11.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.3.11.3. Market Revenue and Forecast, by Technology (2017-2030)
13.3.11.4. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.3.11.5. Market Revenue and Forecast, by End-User (2017-2030)
13.4. MEA
13.4.1. Market Revenue and Forecast, by Clinical Applications (2017-2030)
13.4.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.4.3. Market Revenue and Forecast, by Technology (2017-2030)
13.4.4. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.4.5. Market Revenue and Forecast, by End-User (2017-2030)
13.4.6. GCC
13.4.6.1. Market Revenue and Forecast, by Clinical Applications (2017-2030)
13.4.6.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.4.6.3. Market Revenue and Forecast, by Technology (2017-2030)
13.4.6.4. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.4.7. Market Revenue and Forecast, by End-User (2017-2030)
13.4.8. North Africa
13.4.8.1. Market Revenue and Forecast, by Clinical Applications (2017-2030)
13.4.8.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.4.8.3. Market Revenue and Forecast, by Technology (2017-2030)
13.4.8.4. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.4.9. Market Revenue and Forecast, by End-User (2017-2030)
13.4.10. South Africa
13.4.10.1. Market Revenue and Forecast, by Clinical Applications (2017-2030)
13.4.10.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.4.10.3. Market Revenue and Forecast, by Technology (2017-2030)
13.4.10.4. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.4.10.5. Market Revenue and Forecast, by End-User (2017-2030)
13.4.11. Rest of MEA
13.4.11.1. Market Revenue and Forecast, by Clinical Applications (2017-2030)
13.4.11.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.4.11.3. Market Revenue and Forecast, by Technology (2017-2030)
13.4.11.4. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.4.11.5. Market Revenue and Forecast, by End-User (2017-2030)
13.5. Latin America
13.5.1. Market Revenue and Forecast, by Clinical Applications (2017-2030)
13.5.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.5.3. Market Revenue and Forecast, by Technology (2017-2030)
13.5.4. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.5.5. Market Revenue and Forecast, by End-User (2017-2030)
13.5.6. Brazil
13.5.6.1. Market Revenue and Forecast, by Clinical Applications (2017-2030)
13.5.6.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.5.6.3. Market Revenue and Forecast, by Technology (2017-2030)
13.5.6.4. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.5.7. Market Revenue and Forecast, by End-User (2017-2030)
13.5.8. Rest of LATAM
13.5.8.1. Market Revenue and Forecast, by Clinical Applications (2017-2030)
13.5.8.2. Market Revenue and Forecast, by Offering Type (2017-2030)
13.5.8.3. Market Revenue and Forecast, by Technology (2017-2030)
13.5.8.4. Market Revenue and Forecast, by Deployment Type (2017-2030)
13.5.8.5. Market Revenue and Forecast, by End-User (2017-2030)
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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