The global AI in medical imaging market size accounted for US$ 1.7 Bn in 2022 and is projected to reach around USD 20.9 Bn by 2030, growing at a CAGR of 36.87% from 2022 to 2030.
Report Summary
The global AI in medical imaging 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 AI in medical imaging market across the globe.
A comprehensive estimate on the AI in medical imaging market has been provided through an optimistic scenario as well as a conservative scenario, taking into account the sales of AI in medical imaging during the forecast period. Price point comparison by region with global average price is also considered in the study.
Key Highlights:
Reports Coverage: It incorporates key market sections, key makers secured, the extent of items offered in the years considered, worldwide containerized AI in medical imaging 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: Biochemical Market Size Analysis 2022 To 2030
AI in Medical Imaging Market Report Scope
Report Coverage | Details |
Market Size in 2022 | USD 1.7 Billion |
Market Size by 2030 | USD 20.9 Billion |
Growth Rate from 2022 to 2030 | CAGR of 36.87% |
Base Year | 2021 |
Forecast Period | 2022 to 2030 |
Segments Covered |
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AI in Medical Imaging Market Players
The report includes the profiles of key AI in medical imaging 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
- 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
Market Segmentation
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
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 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
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