Artificial Intelligence (AI) in Radiology Market Size, Share, Growth, Trends, Report 2022-2030
The global artificial intelligence (AI) in radiology market size was valued at USD 55.7 million in 2021 and is projected to reach around USD 517.8 million by 2030, registering growth at a CAGR of 36.7% over the forecast period 2022 to 2030.
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Increasing adoption of new technologies and smart solutions with the help of artificial intelligence is the next revolution in patient care driving the market growth.
Artificial intelligence also known as machine intelligence is a branch of computer science that works to create intelligent machines. The use of artificial intelligence has been rapidly progressing in medicine, particularly in radiology. In radiology, it is used to identify the onset of diseases at early stage and enable to plan the treatment for long term needs and offer the highest level of accuracy. AI is used in medical field as clinical decision support and information management (for both physician as well as patients) and can modify the practice of radiology in processes such as detection & prioritization, monitoring & registration, image acquisition and reporting. This technology can be used to analyze medical imaging solutions to identify most effective solution for acute abnormalities across both human as well as animal bodies. It can add a layer of precision and consistency to the search for anomalies if something goes unnoticed. Time sensitive cases like stroke treatments can be diagnosed faster by operating AI systems. The challenges in this field now become identifying opportunities for reducing inefficiencies in radiology workflow through AI integration.
Scope of The Report
| Report Coverage | Details |
| Market Size in 2021 | USD 55.7 million |
| Revenue Forecast by 2030 | USD 517.8 million |
| Growth rate from 2022 to 2030 | CAGR of 36.7% |
| Base Year | 2021 |
| Forecast Period | 2022 to 2030 |
| Segmentation | Radiology Type, Application, Technique, Region |
| Companies Covered | AI Technologies Ltd., Enlitic, Inc., EnvoyAI, Freenome Inc., Gleamer Ltd., IBM Corporation, others |
Market Dynamics
The artificial intelligence in radiology market is driven by the factors such as use of machine learning technology in diagnostic imaging along with the increasing use of quantitative imaging and biomarkers imaging in clinical practices. Apart from making radiologists more productive and efficient, AI and machine learning are likely to improve the experience of patients throughout imaging process. Market players are coming up with new image acquisition hardware along with embedded AI technologies. Core structure such as computing and storage devices, networking has also improved in performance with current technical advancements. Additionally, increase in the use of AI beyond image analysis like practice management, quality assurance and improvements in the performance of deep learning algorithms over early generation of AI are the factors that are also supporting the market growth. However, the factors such as slow regulatory approval process, lack of real-world confirmation to validate the economic benefits and the return on investment, and long sales & implementation cycles may hamper the market growth.
Moreover, offering speed, accuracy and quality of image interpretation and diagnosis in radiology creating new revenue opportunities for the market. Also, advances in computing and rapid changes in medical industry accelerating the innovations and huge R&D developments are fuelling the future growth of the market.
Regional Analysis
North America has captured the largest market share and is expected to continue the same over the forecast period owing to the well-established healthcare and medicine systems that supports the use of new technologies in this region. Startups receiving the most investors’ attention in AI due to which the market in North America is anticipated to observe high growth. The national institutes of health (NIH) held a workshop to explore the future of AI in medical imaging in which they found imaging research laboratories are swiftly generating machine learning systems that achieve expert human performance using open source methods and tools shows R&D developments in North America.
Asia-Pacific countries are expected to show fast growth in the forthcoming years because of the growing technologies in imaging and biotechnology sectors and Government initiatives & increasing healthcare expenditures. In addition to this, presence of large number of patients and population pool will foster the market growth in this region within the forecast period. Based on the size of its population and huge volume of accessible digital medical data, china has significant advantage in developing medical AI and thus emerging as a popular hub for healthcare AI in radiology.
Key Players
Market Segmentation
By Radiology Type
By Application
By Technique
By Region
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 (AI) in Radiology Market
5.1. COVID-19 Landscape: Artificial Intelligence (AI) in Radiology 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 Radiology Market, By Radiology Type
8.1. Artificial Intelligence (AI) in Radiology Market, by Radiology Type, 2022-2030
8.1.1 Mammography
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Chest Imaging
8.1.2.1. Market Revenue and Forecast (2017-2030)
8.1.3. Neurology
8.1.3.1. Market Revenue and Forecast (2017-2030)
8.1.4. Colonography
8.1.4.1. Market Revenue and Forecast (2017-2030)
8.1.5. Cardiovascular
8.1.5.1. Market Revenue and Forecast (2017-2030)
8.1.5. Head CT Scan
8.1.5.1. Market Revenue and Forecast (2017-2030)
8.1.5. Rest of the body
8.1.5.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Artificial Intelligence (AI) in Radiology Market, By Application
9.1. Artificial Intelligence (AI) in Radiology Market, by Application, 2022-2030
9.1.1. Computer-aided Diagnosis
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. Clinical Decision Support
9.1.2.1. Market Revenue and Forecast (2017-2030)
9.1.3. Quantitative Analysis Tools
9.1.3.1. Market Revenue and Forecast (2017-2030)
9.1.4. Computer-aided Detection
9.1.4.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Artificial Intelligence (AI) in Radiology Market, By Technique
10.1. Artificial Intelligence (AI) in Radiology Market, by Technique, 2022-2030
10.1.1. X-rays
10.1.1.1. Market Revenue and Forecast (2017-2030)
10.1.2. Computed Tomography (CT)
10.1.2.1. Market Revenue and Forecast (2017-2030)
10.1.3. Magnetic Resonance Imaging (MRI)
10.1.3.1. Market Revenue and Forecast (2017-2030)
10.1.4. Ultrasound
10.1.4.1. Market Revenue and Forecast (2017-2030)
10.1.5. Positron Emission Tomography (PET)
10.1.5.1. Market Revenue and Forecast (2017-2030)
10.1.6. Others
10.1.6.1. Market Revenue and Forecast (2017-2030)
Chapter 11. Global Artificial Intelligence (AI) in Radiology Market, Regional Estimates and Trend Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.1.2. Market Revenue and Forecast, by Application (2017-2030)
11.1.3. Market Revenue and Forecast, by Technique (2017-2030)
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.1.4.2. Market Revenue and Forecast, by Application (2017-2030)
11.1.4.3. Market Revenue and Forecast, by Technique (2017-2030)
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.1.5.2. Market Revenue and Forecast, by Application (2017-2030)
11.1.5.3. Market Revenue and Forecast, by Technique (2017-2030)
11.2. Europe
11.2.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.2.2. Market Revenue and Forecast, by Application (2017-2030)
11.2.3. Market Revenue and Forecast, by Technique (2017-2030)
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.2.4.2. Market Revenue and Forecast, by Application (2017-2030)
11.2.4.3. Market Revenue and Forecast, by Technique (2017-2030)
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.2.5.2. Market Revenue and Forecast, by Application (2017-2030)
11.2.5.3. Market Revenue and Forecast, by Technique (2017-2030)
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.2.6.2. Market Revenue and Forecast, by Application (2017-2030)
11.2.6.3. Market Revenue and Forecast, by Technique (2017-2030)
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.2.7.2. Market Revenue and Forecast, by Application (2017-2030)
11.2.7.3. Market Revenue and Forecast, by Technique (2017-2030)
11.3. APAC
11.3.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.3.2. Market Revenue and Forecast, by Application (2017-2030)
11.3.3. Market Revenue and Forecast, by Technique (2017-2030)
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.3.4.2. Market Revenue and Forecast, by Application (2017-2030)
11.3.4.3. Market Revenue and Forecast, by Technique (2017-2030)
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.3.5.2. Market Revenue and Forecast, by Application (2017-2030)
11.3.5.3. Market Revenue and Forecast, by Technique (2017-2030)
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.3.6.2. Market Revenue and Forecast, by Application (2017-2030)
11.3.6.3. Market Revenue and Forecast, by Technique (2017-2030)
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.3.7.2. Market Revenue and Forecast, by Application (2017-2030)
11.3.7.3. Market Revenue and Forecast, by Technique (2017-2030)
11.4. MEA
11.4.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.4.2. Market Revenue and Forecast, by Application (2017-2030)
11.4.3. Market Revenue and Forecast, by Technique (2017-2030)
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.4.4.2. Market Revenue and Forecast, by Application (2017-2030)
11.4.4.3. Market Revenue and Forecast, by Technique (2017-2030)
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.4.5.2. Market Revenue and Forecast, by Application (2017-2030)
11.4.5.3. Market Revenue and Forecast, by Technique (2017-2030)
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.4.6.2. Market Revenue and Forecast, by Application (2017-2030)
11.4.6.3. Market Revenue and Forecast, by Technique (2017-2030)
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.4.7.2. Market Revenue and Forecast, by Application (2017-2030)
11.4.7.3. Market Revenue and Forecast, by Technique (2017-2030)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.5.2. Market Revenue and Forecast, by Application (2017-2030)
11.5.3. Market Revenue and Forecast, by Technique (2017-2030)
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.5.4.2. Market Revenue and Forecast, by Application (2017-2030)
11.5.4.3. Market Revenue and Forecast, by Technique (2017-2030)
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Radiology Type (2017-2030)
11.5.5.2. Market Revenue and Forecast, by Application (2017-2030)
11.5.5.3. Market Revenue and Forecast, by Technique (2017-2030)
Chapter 12. Company Profiles
12.1. AI Technologies Ltd.
12.1.1. Company Overview
12.1.2. Product Offerings
12.1.3. Financial Performance
12.1.4. Recent Initiatives
12.2. Enlitic, Inc.
12.2.1. Company Overview
12.2.2. Product Offerings
12.2.3. Financial Performance
12.2.4. Recent Initiatives
12.3. EnvoyAI
12.3.1. Company Overview
12.3.2. Product Offerings
12.3.3. Financial Performance
12.3.4. Recent Initiatives
12.4. Freenome Inc.
12.4.1. Company Overview
12.4.2. Product Offerings
12.4.3. Financial Performance
12.4.4. Recent Initiatives
12.5. Gleamer Ltd.
12.5.1. Company Overview
12.5.2. Product Offerings
12.5.3. Financial Performance
12.5.4. Recent Initiatives
12.6. IBM Corporation
12.6.1. Company Overview
12.6.2. Product Offerings
12.6.3. Financial Performance
12.6.4. Recent Initiatives
Chapter 13. Research Methodology
13.1. Primary Research
13.2. Secondary Research
13.3. Assumptions
Chapter 14. Appendix
14.1. About Us
14.2. Glossary of Terms
Cross-segment Market Size and Analysis for
Mentioned Segments
Additional Company Profiles (Upto 5 With No Cost)
Additional Countries (Apart From Mentioned Countries)
Country/Region-specific Report
Go To Market Strategy
Region Specific Market DynamicsRegion Level Market Share Import Export AnalysisProduction AnalysisOthers