Artificial Intelligence (AI) in MRI Market (By Clinical Application: Breast, Lung, Neurology, Cardiovascular, Liver, Prostate, Colon, Musculoskeletal, Others; By Solution: Hardware, Software, Services; By Technology: Speech Recognition, Querying Method, Natural Language Processing, Machine Learning, Context Aware Processing; By End User: Hospitals, Pharmaceutical Organizations, Diagnostic Centers, Clinics; Deployment Type) - Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2022-2030

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.

Artificial Intelligence (AI) in MRI Market Size 2021 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:

  • Increased numbers of diagnostic procedures carried out is expected to drive the market growth
  • Ability and achievement of personalized treatment, improved procedures and treatment of the patients are also expected to drive the market growth

Market Restraints:

  • Lack of integration and practical applications of artificial intelligence is expected to restrain the market growth
  • High cost and reluctance of adoption of these systems is also expected to restrain the market growth

Key questions answered in this report-:

  • What is the key market patterns affecting the development of the artificial intelligence in medical imaging market?
  • What are the difficulties hampering the market development?
  • Who are the key sellers in the market?
  • What are the market openings and dangers looked by the merchants in this market?
  • What are the key variables driving the worldwide artificial intelligence in medical imaging market?
  • What will the market size and the development rate be in 2030?

Key Market Players

  • 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 Segmentation

By Application

  • X-Ray
  • CT
  • MRI
  • Ultrasound
  • Molecular Imaging

By Clinical Applications

  • Breast
  • Lung
  • Neurology
  • Cardiovascular
  • Liver
  • Prostate
  • Colon
  • Musculoskeletal
  • Others

By Offering

  • Hardware
  • Software
  • Services

By Technology

  • Deep Learning
  • Computer Vision
  • NLP
  • Others

By Deployment Type

  • On-Premise
  • Cloud

By End-User

  • Hospitals
  • Clinics
  • Research Laboratories
  • Others

By Geography

  • North America
  • South America
  • Europe
  • Asia-Pacific
  • Middle East
  • Africa

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

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