Healthcare

Artificial Intelligence in MRI Market Size Analysis 2022 To 2030

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.

Artificial Intelligence in MRI Market Size 2022 To 2030

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

Thanks for reading you can also get individual chapter-wise sections or region-wise report versions such as North America, Europe, or the Asia Pacific.

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