The artificial intelligence in magnetic resonance imaging (MRI) market would grow at a CAGR of 6.85% over the predicted time frame. The market is expected to increase in value from US$ 5.77 Bn in 2022 to US$ 9.8Bn in 2030.
The on artificial intelligence in magnetic resonance imaging (MRI) Market, which provides a business strategy, research & development activities, concise outline of the market valuation, valuable insights pertaining to market share, size, supply chain analysis, competitive landscape and regional proliferation of this industry.
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Report Scope of the Artificial Intelligence in MRI Market
| 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 |
A recent report provides crucial insights along with application based and forecast information in the Global Artificial intelligence in magnetic resonance imaging (MRI) Market. The report provides a comprehensive analysis of key factors that are expected to drive the growth of this market. This study also provides a detailed overview of the opportunities along with the current trends observed in the Artificial intelligence in magnetic resonance imaging (MRI) market.
A quantitative analysis of the industry is compiled for a period of 10 years in order to assist players to grow in the market. Insights on specific revenue figures generated are also given in the report, along with projected revenue at the end of the forecast period.
Companies and Manufacturers Covered
The study covers key players operating in the market along with prime schemes and strategies implemented by each player to hold high positions in the industry. Such a tough vendor landscape provides a competitive outlook of the industry, consequently existing as a key insight. These insights were thoroughly analysed and prime business strategies and products that offer high revenue generation capacities were identified. Key players of the global Artificial intelligence in magnetic resonance imaging (MRI) market are included as given below:
Artificial intelligence in magnetic resonance imaging (MRI) Market Key Players
- 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 Segments
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
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East & Africa (MEA)
Report Objectives
- To define, describe, and forecast the global artificial intelligence in magnetic resonance imaging (MRI) market based on product, and region
- To provide detailed information regarding the major factors influencing the growth of the market (drivers, opportunities, and industry-specific challenges)
- To strategically analyze micromarkets1 with respect to individual growth trends, future prospects, and contributions to the total market
- To analyze opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders
- To forecast the size of market segments with respect to four main regions—North America, Europe, Asia Pacific and the Rest of the World (RoW)2
- To strategically profile key players and comprehensively analyze their product portfolios, market shares, and core competencies3
- To track and analyze competitive developments such as acquisitions, expansions, new product launches, and partnerships in the artificial intelligence in magnetic resonance imaging (MRI) market
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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