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Global AI for Radiology Market Research Report 2025
Synopsis
Artificial intelligence (AI), sometimes-called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. AI, many believe, can and will optimize radiologists' workflows, facilitate quantitative radiology, and assist in discovering genomic markers. This report mainly studies AI for Radiology market.
The global AI for Radiology market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/109 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for AI for Radiology, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI for Radiology.
Report Scope
The AI for Radiology market size, estimations, and forecasts are provided in terms of sales volume (K Units) and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI for Radiology market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI for Radiology manufacturers, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Arterys
Aidoc
Qure.ai
General Electric (GE) Company
IBM
Intel
Medtronic
Microsoft
NVIDIA
Siemens AG
Segment by Type
Deep Learning
Computer Vision
Others
Segment by Application
Neurology
Cardiovascular
Breast
Lung
Liver
Others
Consumption by Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Indonesia
Thailand
Malaysia
Philippines
Vietnam
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by region, by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Detailed analysis of AI for Radiology manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Sales, revenue of AI for Radiology in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 7: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 8: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 9: The main points and conclusions of the report.
Artificial intelligence (AI), sometimes-called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. AI, many believe, can and will optimize radiologists' workflows, facilitate quantitative radiology, and assist in discovering genomic markers. This report mainly studies AI for Radiology market.
The global AI for Radiology market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/109 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for AI for Radiology, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI for Radiology.
Report Scope
The AI for Radiology market size, estimations, and forecasts are provided in terms of sales volume (K Units) and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI for Radiology market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI for Radiology manufacturers, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Arterys
Aidoc
Qure.ai
General Electric (GE) Company
IBM
Intel
Medtronic
Microsoft
NVIDIA
Siemens AG
Segment by Type
Deep Learning
Computer Vision
Others
Segment by Application
Neurology
Cardiovascular
Breast
Lung
Liver
Others
Consumption by Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Indonesia
Thailand
Malaysia
Philippines
Vietnam
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by region, by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Detailed analysis of AI for Radiology manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Sales, revenue of AI for Radiology in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 7: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 8: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 9: The main points and conclusions of the report.
Index1 AI for Radiology Market Overview
1.1 Product Overview and Scope of AI for Radiology
1.2 AI for Radiology Segment by Type
1.2.1 Global AI for Radiology Market Value Comparison by Type (2024-2030)
1.2.2 Deep Learning
1.2.3 Computer Vision
1.2.4 Others
1.3 AI for Radiology Segment by Application
1.3.1 Global AI for Radiology Market Value by Application: (2024-2030)
1.3.2 Neurology
1.3.3 Cardiovascular
1.3.4 Breast
1.3.5 Lung
1.3.6 Liver
1.3.7 Others
1.4 Global AI for Radiology Market Size Estimates and Forecasts
1.4.1 Global AI for Radiology Revenue 2019-2030
1.4.2 Global AI for Radiology Sales 2019-2030
1.4.3 Global AI for Radiology Market Average Price (2019-2030)
1.5 Assumptions and Limitations
2 AI for Radiology Market Competition by Manufacturers
2.1 Global AI for Radiology Sales Market Share by Manufacturers (2019-2024)
2.2 Global AI for Radiology Revenue Market Share by Manufacturers (2019-2024)
2.3 Global AI for Radiology Average Price by Manufacturers (2019-2024)
2.4 Global AI for Radiology Industry Ranking 2022 VS 2023 VS 2024
2.5 Global Key Manufacturers of AI for Radiology, Manufacturing Sites & Headquarters
2.6 Global Key Manufacturers of AI for Radiology, Product Type & Application
2.7 AI for Radiology Market Competitive Situation and Trends
2.7.1 AI for Radiology Market Concentration Rate
2.7.2 The Global Top 5 and Top 10 Largest AI for Radiology Players Market Share by Revenue
2.7.3 Global AI for Radiology Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
2.8 Manufacturers Mergers & Acquisitions, Expansion Plans
3 AI for Radiology Retrospective Market Scenario by Region
3.1 Global AI for Radiology Market Size by Region: 2019 Versus 2023 Versus 2030
3.2 Global AI for Radiology Global AI for Radiology Sales by Region: 2019-2030
3.2.1 Global AI for Radiology Sales by Region: 2019-2024
3.2.2 Global AI for Radiology Sales by Region: 2025-2030
3.3 Global AI for Radiology Global AI for Radiology Revenue by Region: 2019-2030
3.3.1 Global AI for Radiology Revenue by Region: 2019-2024
3.3.2 Global AI for Radiology Revenue by Region: 2025-2030
3.4 North America AI for Radiology Market Facts & Figures by Country
3.4.1 North America AI for Radiology Market Size by Country: 2019 VS 2023 VS 2030
3.4.2 North America AI for Radiology Sales by Country (2019-2030)
3.4.3 North America AI for Radiology Revenue by Country (2019-2030)
3.4.4 U.S.
3.4.5 Canada
3.5 Europe AI for Radiology Market Facts & Figures by Country
3.5.1 Europe AI for Radiology Market Size by Country: 2019 VS 2023 VS 2030
3.5.2 Europe AI for Radiology Sales by Country (2019-2030)
3.5.3 Europe AI for Radiology Revenue by Country (2019-2030)
3.5.4 Germany
3.5.5 France
3.5.6 U.K.
3.5.7 Italy
3.5.8 Russia
3.6 Asia Pacific AI for Radiology Market Facts & Figures by Country
3.6.1 Asia Pacific AI for Radiology Market Size by Country: 2019 VS 2023 VS 2030
3.6.2 Asia Pacific AI for Radiology Sales by Country (2019-2030)
3.6.3 Asia Pacific AI for Radiology Revenue by Country (2019-2030)
3.6.4 China
3.6.5 Japan
3.6.6 South Korea
3.6.7 India
3.6.8 Australia
3.6.9 Taiwan
3.6.10 Indonesia
3.6.11 Thailand
3.6.12 Malaysia
3.6.13 Philippines
3.7 Latin America AI for Radiology Market Facts & Figures by Country
3.7.1 Latin America AI for Radiology Market Size by Country: 2019 VS 2023 VS 2030
3.7.2 Latin America AI for Radiology Sales by Country (2019-2030)
3.7.3 Latin America AI for Radiology Revenue by Country (2019-2030)
3.7.4 Mexico
3.7.5 Brazil
3.7.6 Argentina
3.8 Middle East and Africa AI for Radiology Market Facts & Figures by Country
3.8.1 Middle East and Africa AI for Radiology Market Size by Country: 2019 VS 2023 VS 2030
3.8.2 Middle East and Africa AI for Radiology Sales by Country (2019-2030)
3.8.3 Middle East and Africa AI for Radiology Revenue by Country (2019-2030)
3.8.4 Turkey
3.8.5 Saudi Arabia
3.8.6 U.A.E
4 Segment by Type
4.1 Global AI for Radiology Sales by Type (2019-2030)
4.1.1 Global AI for Radiology Sales by Type (2019-2024)
4.1.2 Global AI for Radiology Sales by Type (2025-2030)
4.1.3 Global AI for Radiology Sales Market Share by Type (2019-2030)
4.2 Global AI for Radiology Revenue by Type (2019-2030)
4.2.1 Global AI for Radiology Revenue by Type (2019-2024)
4.2.2 Global AI for Radiology Revenue by Type (2025-2030)
4.2.3 Global AI for Radiology Revenue Market Share by Type (2019-2030)
4.3 Global AI for Radiology Price by Type (2019-2030)
5 Segment by Application
5.1 Global AI for Radiology Sales by Application (2019-2030)
5.1.1 Global AI for Radiology Sales by Application (2019-2024)
5.1.2 Global AI for Radiology Sales by Application (2025-2030)
5.1.3 Global AI for Radiology Sales Market Share by Application (2019-2030)
5.2 Global AI for Radiology Revenue by Application (2019-2030)
5.2.1 Global AI for Radiology Revenue by Application (2019-2024)
5.2.2 Global AI for Radiology Revenue by Application (2025-2030)
5.2.3 Global AI for Radiology Revenue Market Share by Application (2019-2030)
5.3 Global AI for Radiology Price by Application (2019-2030)
6 Key Companies Profiled
6.1 Arterys
6.1.1 Arterys Corporation Information
6.1.2 Arterys Description and Business Overview
6.1.3 Arterys AI for Radiology Sales, Revenue and Gross Margin (2019-2024)
6.1.4 Arterys AI for Radiology Product Portfolio
6.1.5 Arterys Recent Developments/Updates
6.2 Aidoc
6.2.1 Aidoc Corporation Information
6.2.2 Aidoc Description and Business Overview
6.2.3 Aidoc AI for Radiology Sales, Revenue and Gross Margin (2019-2024)
6.2.4 Aidoc AI for Radiology Product Portfolio
6.2.5 Aidoc Recent Developments/Updates
6.3 Qure.ai
6.3.1 Qure.ai Corporation Information
6.3.2 Qure.ai Description and Business Overview
6.3.3 Qure.ai AI for Radiology Sales, Revenue and Gross Margin (2019-2024)
6.3.4 Qure.ai AI for Radiology Product Portfolio
6.3.5 Qure.ai Recent Developments/Updates
6.4 General Electric (GE) Company
6.4.1 General Electric (GE) Company Corporation Information
6.4.2 General Electric (GE) Company Description and Business Overview
6.4.3 General Electric (GE) Company AI for Radiology Sales, Revenue and Gross Margin (2019-2024)
6.4.4 General Electric (GE) Company AI for Radiology Product Portfolio
6.4.5 General Electric (GE) Company Recent Developments/Updates
6.5 IBM
6.5.1 IBM Corporation Information
6.5.2 IBM Description and Business Overview
6.5.3 IBM AI for Radiology Sales, Revenue and Gross Margin (2019-2024)
6.5.4 IBM AI for Radiology Product Portfolio
6.5.5 IBM Recent Developments/Updates
6.6 Intel
6.6.1 Intel Corporation Information
6.6.2 Intel Description and Business Overview
6.6.3 Intel AI for Radiology Sales, Revenue and Gross Margin (2019-2024)
6.6.4 Intel AI for Radiology Product Portfolio
6.6.5 Intel Recent Developments/Updates
6.7 Medtronic
6.6.1 Medtronic Corporation Information
6.6.2 Medtronic Description and Business Overview
6.6.3 Medtronic AI for Radiology Sales, Revenue and Gross Margin (2019-2024)
6.4.4 Medtronic AI for Radiology Product Portfolio
6.7.5 Medtronic Recent Developments/Updates
6.8 Microsoft
6.8.1 Microsoft Corporation Information
6.8.2 Microsoft Description and Business Overview
6.8.3 Microsoft AI for Radiology Sales, Revenue and Gross Margin (2019-2024)
6.8.4 Microsoft AI for Radiology Product Portfolio
6.8.5 Microsoft Recent Developments/Updates
6.9 NVIDIA
6.9.1 NVIDIA Corporation Information
6.9.2 NVIDIA Description and Business Overview
6.9.3 NVIDIA AI for Radiology Sales, Revenue and Gross Margin (2019-2024)
6.9.4 NVIDIA AI for Radiology Product Portfolio
6.9.5 NVIDIA Recent Developments/Updates
6.10 Siemens AG
6.10.1 Siemens AG Corporation Information
6.10.2 Siemens AG Description and Business Overview
6.10.3 Siemens AG AI for Radiology Sales, Revenue and Gross Margin (2019-2024)
6.10.4 Siemens AG AI for Radiology Product Portfolio
6.10.5 Siemens AG Recent Developments/Updates
7 Industry Chain and Sales Channels Analysis
7.1 AI for Radiology Industry Chain Analysis
7.2 AI for Radiology Key Raw Materials
7.2.1 Key Raw Materials
7.2.2 Raw Materials Key Suppliers
7.3 AI for Radiology Production Mode & Process
7.4 AI for Radiology Sales and Marketing
7.4.1 AI for Radiology Sales Channels
7.4.2 AI for Radiology Distributors
7.5 AI for Radiology Customers
8 AI for Radiology Market Dynamics
8.1 AI for Radiology Industry Trends
8.2 AI for Radiology Market Drivers
8.3 AI for Radiology Market Challenges
8.4 AI for Radiology Market Restraints
9 Research Finding and Conclusion
10 Methodology and Data Source
10.1 Methodology/Research Approach
10.1.1 Research Programs/Design
10.1.2 Market Size Estimation
10.1.3 Market Breakdown and Data Triangulation
10.2 Data Source
10.2.1 Secondary Sources
10.2.2 Primary Sources
10.3 Author List
10.4 Disclaimer
Published By : QY Research
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