According to the new research report published by Precedence Research, titled “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) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2022-2030”, the global artificial intelligence in MRI market size is expected to be worth around US$ 9.8 billion by 2030 and is poised to record a yearly growth rate of 6.85% from 2022 to 2030. The study investigates several elements and their consequences on the growth of the all-wheel drive market.
This report focuses on artificial intelligence in MRI market volume and value at the global level, regional level and company level. From a global perspective, this report represents the overall artificial intelligence in MRI market size by analyzing historical data and future prospects. Regionally, this report focuses on several key regions: North America, Europe, the Middle East & Africa, Latin America, etc.
The research report includes specific segments by region (country), by company, by all segments. This study provides information about the growth and revenue during the historic and forecasted period of 2017 to 2030. Understanding the segments helps in identifying the importance of different factors that aid the market growth.
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The study also provides important advancements in organic and inorganic growth strategies in the worldwide artificial intelligence in MRI market. A lot of corporations are prioritizing new launches, product approvals, and other business expansion techniques. In addition, the report offers profiles of artificial intelligence in MRI market firms and market strategies. Furthermore, the research focuses on top industry participants, providing information such as company profiles, components and services offered, recent financial data, and key developments.
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 |
Market Key Players
Company profiles have been included in the report, which include essentials such as product portfolio, key strategies, along with all-inclusive SWOT analysis on each player. Company presence is mapped and presented through a matrix for all the prominent players, thus providing readers with actionable insights, which helps in thoughtfully presenting market status and predicting the competition level in the artificial intelligence in MRI market.
Some of the prominent players in the artificial intelligence in MRI market include:
- 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 Segmentations
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, segment, and project the global market size for artificial intelligence in MRI market
- To understand the structure of the market by identifying its various sub-segments
- To provide detailed information about the key factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
- To analyze the micro-markets, with respect to individual growth trends, future prospects, and their contributions to the total market
- To project the size of the market and its submarkets, in terms of value, with respect to global. (along with their respective key countries)
- To profile key players and comprehensively analyze their core competencies
- To understand the competitive landscape and identify major growth strategies adopted by players across the globe.
- To analyze the competitive developments such as expansions & investments, new product launches, mergers & acquisitions, joint ventures, and agreements
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
Why should you invest in this report?
If you are aiming to enter the global artificial intelligence in MRI market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for artificial intelligence in MRI are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030 so that you can plan your strategies to enter this market accordingly.
Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.
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