AI in Medical Imaging Market Size to Worth US$ 20.9 Billion by 2030

According to the new research report published by Precedence Research, titled “AI in Medical Imaging Market (By Product: Ultrasound Scanners, CT Scanners, MRI Systems, Optical Coherence Tomography Devices, Others; By End Use: Hospital and healthcare providers, Patients, Pharmaceuticals and Biotechnology companies, Healthcare payers, Others; By Application: Digital Pathology, Oncology, Cardiovascular, Neurology, Lung, Breast, Liver, Oral Diagnostics, Other; By AI Technology) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2022-2030 (By Product: Traditional, Advanced; By Application: Pottery, Tiles, Abrasives, Sanitary wave, Bricks & pipes, Others; By End User: Medical, Industrial, Building & Construction, Others) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2022-2030”, the global AI in medical imaging market size is expected to be worth around US$ 20.9 billion by 2030 and is poised to record a yearly growth rate of 36.87% 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 AI in medical imaging market volume and value at the global level, regional level and company level. From a global perspective, this report represents the overall AI in medical imaging market size by analysing 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 AI in medical imaging market. A lot of corporations are prioritizing new launches, product approvals, and other business expansion techniques. In addition, the report offers profiles of AI in medical imaging 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.

AI in Medical Imaging Market  Scope 

Also read: Biochemical Market Size to Worth US$ 148.6 Billion by 2030

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 AI in medical imaging market.

Some of the prominent players in the AI in medical imaging market include

• Agfa-Gevaert Group/Agfa HealthCare
• Arterys
• AI
• AZmed
• Butterfly Network
• Caption Health
• CellmatiQ
• dentalXrai
• Digital Diagnostics
• EchoNous
• GLEAMER
• HeartVista
• iCAD
• Lunit
• Mediaire
• MEDO
• Nanox Imaging
• Paige AI
• Perimeter Medical Imaging AI
• Predible Health
• 1QB Information Technology
• Qure.ai
• Quantib
• QLARITY IMAGING
• Quibim
• Renalytix
• Therapixel
• Ultromics
• Viz.ai
• VUNO

AI in Medical Imaging Market  Segmentations 

By Product

• Ultrasound Scanners
• CT Scanners
• MRI Systems
• Optical Coherence Tomography Devices
• Others

By End Use

• Hospital and healthcare providers
• Patients
• Pharmaceuticals and Biotechnology companies
• Healthcare payers
• Others

By Application

• Digital Pathology
• Oncology
• Cardiovascular
• Neurology
• Lung (Respiratory System)
• Breast (Mammography)
• Liver (GI)
• Oral Diagnostics
• Other

By AI Technology

• Deep Learning
• Computer Vision
• 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 AI in medical imaging 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 analyse 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 analyse their core competencies
• To understand the competitive landscape and identify major growth strategies adopted by players across the globe.
• To analyse 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 AI in Medical Imaging Market 

5.1. COVID-19 Landscape: AI in Medical Imaging 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 AI in Medical Imaging Market, By Product

8.1. AI in Medical Imaging Market, by Product, 2022-2030

8.1.1. Ultrasound Scanners

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. MRI Systems

8.1.2.1. Market Revenue and Forecast (2017-2030)

8.1.3. Optical Coherence Tomography Devices

8.1.3.1. Market Revenue and Forecast (2017-2030)

8.1.4. Others

8.1.4.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global AI in Medical Imaging Market, By End Use

9.1. AI in Medical Imaging Market, by End Use, 2022-2030

9.1.1. Hospital and healthcare providers

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Patients

9.1.2.1. Market Revenue and Forecast (2017-2030)

9.1.3. Pharmaceuticals and Biotechnology companies

9.1.3.1. Market Revenue and Forecast (2017-2030)

9.1.4. Healthcare payers

9.1.4.1. Market Revenue and Forecast (2017-2030)

9.1.5. Others

9.1.5.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global AI in Medical Imaging Market, By Application 

10.1. AI in Medical Imaging Market, by Application, 2022-2030

10.1.1. Digital Pathology

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. Oncology

10.1.2.1. Market Revenue and Forecast (2017-2030)

10.1.3. Cardiovascular

10.1.3.1. Market Revenue and Forecast (2017-2030)

10.1.4. Neurology

10.1.4.1. Market Revenue and Forecast (2017-2030)

10.1.5. Lung (Respiratory System)

10.1.5.1. Market Revenue and Forecast (2017-2030)

10.1.6. Breast (Mammography)

10.1.6.1. Market Revenue and Forecast (2017-2030)

10.1.7. Liver (GI)

10.1.7.1. Market Revenue and Forecast (2017-2030)

10.1.8. Oral Diagnostics

10.1.8.1. Market Revenue and Forecast (2017-2030)

10.1.9. Other

10.1.9.1. Market Revenue and Forecast (2017-2030)

Chapter 11. Global AI in Medical Imaging Market, By AI Technology 

11.1. AI in Medical Imaging Market, by AI 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. Others

11.1.3.1. Market Revenue and Forecast (2017-2030)

Chapter 12. Global AI in Medical Imaging Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Product (2017-2030)

12.1.2. Market Revenue and Forecast, by End Use (2017-2030)

12.1.3. Market Revenue and Forecast, by Application (2017-2030)

12.1.4. Market Revenue and Forecast, by AI Technology (2017-2030)

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Product (2017-2030)

12.1.5.2. Market Revenue and Forecast, by End Use (2017-2030)

12.1.5.3. Market Revenue and Forecast, by Application (2017-2030)

12.1.5.4. Market Revenue and Forecast, by AI Technology (2017-2030)

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Product (2017-2030)

12.1.6.2. Market Revenue and Forecast, by End Use (2017-2030)

12.1.6.3. Market Revenue and Forecast, by Application (2017-2030)

12.1.6.4. Market Revenue and Forecast, by AI Technology (2017-2030)

12.2. Europe

12.2.1. Market Revenue and Forecast, by Product (2017-2030)

12.2.2. Market Revenue and Forecast, by End Use (2017-2030)

12.2.3. Market Revenue and Forecast, by Application (2017-2030)

12.2.4. Market Revenue and Forecast, by AI Technology (2017-2030)

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Product (2017-2030)

12.2.5.2. Market Revenue and Forecast, by End Use (2017-2030)

12.2.5.3. Market Revenue and Forecast, by Application (2017-2030)

12.2.5.4. Market Revenue and Forecast, by AI Technology (2017-2030)

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Product (2017-2030)

12.2.6.2. Market Revenue and Forecast, by End Use (2017-2030)

12.2.6.3. Market Revenue and Forecast, by Application (2017-2030)

12.2.6.4. Market Revenue and Forecast, by AI Technology (2017-2030)

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Product (2017-2030)

12.2.7.2. Market Revenue and Forecast, by End Use (2017-2030)

12.2.7.3. Market Revenue and Forecast, by Application (2017-2030)

12.2.7.4. Market Revenue and Forecast, by AI Technology (2017-2030)

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Product (2017-2030)

12.2.8.2. Market Revenue and Forecast, by End Use (2017-2030)

12.2.8.3. Market Revenue and Forecast, by Application (2017-2030)

12.2.8.4. Market Revenue and Forecast, by AI Technology (2017-2030)

12.3. APAC

12.3.1. Market Revenue and Forecast, by Product (2017-2030)

12.3.2. Market Revenue and Forecast, by End Use (2017-2030)

12.3.3. Market Revenue and Forecast, by Application (2017-2030)

12.3.4. Market Revenue and Forecast, by AI Technology (2017-2030)

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Product (2017-2030)

12.3.5.2. Market Revenue and Forecast, by End Use (2017-2030)

12.3.5.3. Market Revenue and Forecast, by Application (2017-2030)

12.3.5.4. Market Revenue and Forecast, by AI Technology (2017-2030)

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Product (2017-2030)

12.3.6.2. Market Revenue and Forecast, by End Use (2017-2030)

12.3.6.3. Market Revenue and Forecast, by Application (2017-2030)

12.3.6.4. Market Revenue and Forecast, by AI Technology (2017-2030)

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Product (2017-2030)

12.3.7.2. Market Revenue and Forecast, by End Use (2017-2030)

12.3.7.3. Market Revenue and Forecast, by Application (2017-2030)

12.3.7.4. Market Revenue and Forecast, by AI Technology (2017-2030)

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Product (2017-2030)

12.3.8.2. Market Revenue and Forecast, by End Use (2017-2030)

12.3.8.3. Market Revenue and Forecast, by Application (2017-2030)

12.3.8.4. Market Revenue and Forecast, by AI Technology (2017-2030)

12.4. MEA

12.4.1. Market Revenue and Forecast, by Product (2017-2030)

12.4.2. Market Revenue and Forecast, by End Use (2017-2030)

12.4.3. Market Revenue and Forecast, by Application (2017-2030)

12.4.4. Market Revenue and Forecast, by AI Technology (2017-2030)

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Product (2017-2030)

12.4.5.2. Market Revenue and Forecast, by End Use (2017-2030)

12.4.5.3. Market Revenue and Forecast, by Application (2017-2030)

12.4.5.4. Market Revenue and Forecast, by AI Technology (2017-2030)

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Product (2017-2030)

12.4.6.2. Market Revenue and Forecast, by End Use (2017-2030)

12.4.6.3. Market Revenue and Forecast, by Application (2017-2030)

12.4.6.4. Market Revenue and Forecast, by AI Technology (2017-2030)

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Product (2017-2030)

12.4.7.2. Market Revenue and Forecast, by End Use (2017-2030)

12.4.7.3. Market Revenue and Forecast, by Application (2017-2030)

12.4.7.4. Market Revenue and Forecast, by AI Technology (2017-2030)

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Product (2017-2030)

12.4.8.2. Market Revenue and Forecast, by End Use (2017-2030)

12.4.8.3. Market Revenue and Forecast, by Application (2017-2030)

12.4.8.4. Market Revenue and Forecast, by AI Technology (2017-2030)

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Product (2017-2030)

12.5.2. Market Revenue and Forecast, by End Use (2017-2030)

12.5.3. Market Revenue and Forecast, by Application (2017-2030)

12.5.4. Market Revenue and Forecast, by AI Technology (2017-2030)

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Product (2017-2030)

12.5.5.2. Market Revenue and Forecast, by End Use (2017-2030)

12.5.5.3. Market Revenue and Forecast, by Application (2017-2030)

12.5.5.4. Market Revenue and Forecast, by AI Technology (2017-2030)

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Product (2017-2030)

12.5.6.2. Market Revenue and Forecast, by End Use (2017-2030)

12.5.6.3. Market Revenue and Forecast, by Application (2017-2030)

12.5.6.4. Market Revenue and Forecast, by AI Technology (2017-2030)

Chapter 13. Company Profiles

13.1. Agfa-Gevaert Group/Agfa HealthCare

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Arterys

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. AI

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. AZmed

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. Butterfly Network

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Caption Health

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. CellmatiQ

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. dentalXrai

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Digital Diagnostics

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. EchoNous

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

Why should you invest in this report?

If you are aiming to enter the global AI in medical imaging market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for AI in medical imaging 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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