The global AI for Radiology market size was valued at US$ million in 2023. With growing demand in downstream market, the AI for Radiology is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during review period.
The research report highlights the growth potential of the global AI for Radiology market. AI for Radiology are expected to show stable growth in the future market. However, product differentiation, reducing costs, and supply chain optimization remain crucial for the widespread adoption of AI for Radiology. Market players need to invest in research and development, forge strategic partnerships, and align their offerings with evolving consumer preferences to capitalize on the immense opportunities presented by the AI for Radiology market.
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.
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 楼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.
Key Features:
The report on AI for Radiology market reflects various aspects and provide valuable insights into the industry.
Market Size and Growth: The research report provide an overview of the current size and growth of the AI for Radiology market. It may include historical data, market segmentation by Type (e.g., Deep Learning, Computer Vision), and regional breakdowns.
Market Drivers and Challenges: The report can identify and analyse the factors driving the growth of the AI for Radiology market, such as government regulations, environmental concerns, technological advancements, and changing consumer preferences. It can also highlight the challenges faced by the industry, including infrastructure limitations, range anxiety, and high upfront costs.
Competitive Landscape: The research report provides analysis of the competitive landscape within the AI for Radiology market. It includes profiles of key players, their market share, strategies, and product offerings. The report can also highlight emerging players and their potential impact on the market.
Technological Developments: The research report can delve into the latest technological developments in the AI for Radiology industry. This include advancements in AI for Radiology technology, AI for Radiology new entrants, AI for Radiology new investment, and other innovations that are shaping the future of AI for Radiology.
Downstream Procumbent Preference: The report can shed light on customer procumbent behaviour and adoption trends in the AI for Radiology market. It includes factors influencing customer ' purchasing decisions, preferences for AI for Radiology product.
Government Policies and Incentives: The research report analyse the impact of government policies and incentives on the AI for Radiology market. This may include an assessment of regulatory frameworks, subsidies, tax incentives, and other measures aimed at promoting AI for Radiology market. The report also evaluates the effectiveness of these policies in driving market growth.
Environmental Impact and Sustainability: The research report assess the environmental impact and sustainability aspects of the AI for Radiology market.
Market Forecasts and Future Outlook: Based on the analysis conducted, the research report provide market forecasts and outlook for the AI for Radiology industry. This includes projections of market size, growth rates, regional trends, and predictions on technological advancements and policy developments.
Recommendations and Opportunities: The report conclude with recommendations for industry stakeholders, policymakers, and investors. It highlights potential opportunities for market players to capitalize on emerging trends, overcome challenges, and contribute to the growth and development of the AI for Radiology market.
Market Segmentation:
AI for Radiology market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value.
Segmentation by type
Deep Learning
Computer Vision
Others
Segmentation by application
Neurology
Cardiovascular
Breast
Lung
Liver
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Arterys
Aidoc
Qure.ai
General Electric (GE) Company
IBM
Intel
Medtronic
Microsoft
NVIDIA
Siemens AG
Key Questions Addressed in this Report
What is the 10-year outlook for the global AI for Radiology market?
What factors are driving AI for Radiology market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do AI for Radiology market opportunities vary by end market size?
How does AI for Radiology break out type, application?
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Scope of the Report
1.1 Market Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 Market Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 Market Estimation Caveats
2 Executive Summary
2.1 World Market Overview
2.1.1 Global AI for Radiology Annual Sales 2019-2030
2.1.2 World Current & Future Analysis for AI for Radiology by Geographic Region, 2019, 2023 & 2030
2.1.3 World Current & Future Analysis for AI for Radiology by Country/Region, 2019, 2023 & 2030
2.2 AI for Radiology Segment by Type
2.2.1 Deep Learning
2.2.2 Computer Vision
2.2.3 Others
2.3 AI for Radiology Sales by Type
2.3.1 Global AI for Radiology Sales Market Share by Type (2019-2024)
2.3.2 Global AI for Radiology Revenue and Market Share by Type (2019-2024)
2.3.3 Global AI for Radiology Sale Price by Type (2019-2024)
2.4 AI for Radiology Segment by Application
2.4.1 Neurology
2.4.2 Cardiovascular
2.4.3 Breast
2.4.4 Lung
2.4.5 Liver
2.4.6 Others
2.5 AI for Radiology Sales by Application
2.5.1 Global AI for Radiology Sale Market Share by Application (2019-2024)
2.5.2 Global AI for Radiology Revenue and Market Share by Application (2019-2024)
2.5.3 Global AI for Radiology Sale Price by Application (2019-2024)
3 Global AI for Radiology by Company
3.1 Global AI for Radiology Breakdown Data by Company
3.1.1 Global AI for Radiology Annual Sales by Company (2019-2024)
3.1.2 Global AI for Radiology Sales Market Share by Company (2019-2024)
3.2 Global AI for Radiology Annual Revenue by Company (2019-2024)
3.2.1 Global AI for Radiology Revenue by Company (2019-2024)
3.2.2 Global AI for Radiology Revenue Market Share by Company (2019-2024)
3.3 Global AI for Radiology Sale Price by Company
3.4 Key Manufacturers AI for Radiology Producing Area Distribution, Sales Area, Product Type
3.4.1 Key Manufacturers AI for Radiology Product Location Distribution
3.4.2 Players AI for Radiology Products Offered
3.5 Market Concentration Rate Analysis
3.5.1 Competition Landscape Analysis
3.5.2 Concentration Ratio (CR3, CR5 and CR10) & (2019-2024)
3.6 New Products and Potential Entrants
3.7 Mergers & Acquisitions, Expansion
4 World Historic Review for AI for Radiology by Geographic Region
4.1 World Historic AI for Radiology Market Size by Geographic Region (2019-2024)
4.1.1 Global AI for Radiology Annual Sales by Geographic Region (2019-2024)
4.1.2 Global AI for Radiology Annual Revenue by Geographic Region (2019-2024)
4.2 World Historic AI for Radiology Market Size by Country/Region (2019-2024)
4.2.1 Global AI for Radiology Annual Sales by Country/Region (2019-2024)
4.2.2 Global AI for Radiology Annual Revenue by Country/Region (2019-2024)
4.3 Americas AI for Radiology Sales Growth
4.4 APAC AI for Radiology Sales Growth
4.5 Europe AI for Radiology Sales Growth
4.6 Middle East & Africa AI for Radiology Sales Growth
5 Americas
5.1 Americas AI for Radiology Sales by Country
5.1.1 Americas AI for Radiology Sales by Country (2019-2024)
5.1.2 Americas AI for Radiology Revenue by Country (2019-2024)
5.2 Americas AI for Radiology Sales by Type
5.3 Americas AI for Radiology Sales by Application
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC AI for Radiology Sales by Region
6.1.1 APAC AI for Radiology Sales by Region (2019-2024)
6.1.2 APAC AI for Radiology Revenue by Region (2019-2024)
6.2 APAC AI for Radiology Sales by Type
6.3 APAC AI for Radiology Sales by Application
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
6.10 China Taiwan
7 Europe
7.1 Europe AI for Radiology by Country
7.1.1 Europe AI for Radiology Sales by Country (2019-2024)
7.1.2 Europe AI for Radiology Revenue by Country (2019-2024)
7.2 Europe AI for Radiology Sales by Type
7.3 Europe AI for Radiology Sales by Application
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa AI for Radiology by Country
8.1.1 Middle East & Africa AI for Radiology Sales by Country (2019-2024)
8.1.2 Middle East & Africa AI for Radiology Revenue by Country (2019-2024)
8.2 Middle East & Africa AI for Radiology Sales by Type
8.3 Middle East & Africa AI for Radiology Sales by Application
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 Market Drivers, Challenges and Trends
9.1 Market Drivers & Growth Opportunities
9.2 Market Challenges & Risks
9.3 Industry Trends
10 Manufacturing Cost Structure Analysis
10.1 Raw Material and Suppliers
10.2 Manufacturing Cost Structure Analysis of AI for Radiology
10.3 Manufacturing Process Analysis of AI for Radiology
10.4 Industry Chain Structure of AI for Radiology
11 Marketing, Distributors and Customer
11.1 Sales Channel
11.1.1 Direct Channels
11.1.2 Indirect Channels
11.2 AI for Radiology Distributors
11.3 AI for Radiology Customer
12 World Forecast Review for AI for Radiology by Geographic Region
12.1 Global AI for Radiology Market Size Forecast by Region
12.1.1 Global AI for Radiology Forecast by Region (2025-2030)
12.1.2 Global AI for Radiology Annual Revenue Forecast by Region (2025-2030)
12.2 Americas Forecast by Country
12.3 APAC Forecast by Region
12.4 Europe Forecast by Country
12.5 Middle East & Africa Forecast by Country
12.6 Global AI for Radiology Forecast by Type
12.7 Global AI for Radiology Forecast by Application
13 Key Players Analysis
13.1 Arterys
13.1.1 Arterys Company Information
13.1.2 Arterys AI for Radiology Product Portfolios and Specifications
13.1.3 Arterys AI for Radiology Sales, Revenue, Price and Gross Margin (2019-2024)
13.1.4 Arterys Main Business Overview
13.1.5 Arterys Latest Developments
13.2 Aidoc
13.2.1 Aidoc Company Information
13.2.2 Aidoc AI for Radiology Product Portfolios and Specifications
13.2.3 Aidoc AI for Radiology Sales, Revenue, Price and Gross Margin (2019-2024)
13.2.4 Aidoc Main Business Overview
13.2.5 Aidoc Latest Developments
13.3 Qure.ai
13.3.1 Qure.ai Company Information
13.3.2 Qure.ai AI for Radiology Product Portfolios and Specifications
13.3.3 Qure.ai AI for Radiology Sales, Revenue, Price and Gross Margin (2019-2024)
13.3.4 Qure.ai Main Business Overview
13.3.5 Qure.ai Latest Developments
13.4 General Electric (GE) Company
13.4.1 General Electric (GE) Company Company Information
13.4.2 General Electric (GE) Company AI for Radiology Product Portfolios and Specifications
13.4.3 General Electric (GE) Company AI for Radiology Sales, Revenue, Price and Gross Margin (2019-2024)
13.4.4 General Electric (GE) Company Main Business Overview
13.4.5 General Electric (GE) Company Latest Developments
13.5 IBM
13.5.1 IBM Company Information
13.5.2 IBM AI for Radiology Product Portfolios and Specifications
13.5.3 IBM AI for Radiology Sales, Revenue, Price and Gross Margin (2019-2024)
13.5.4 IBM Main Business Overview
13.5.5 IBM Latest Developments
13.6 Intel
13.6.1 Intel Company Information
13.6.2 Intel AI for Radiology Product Portfolios and Specifications
13.6.3 Intel AI for Radiology Sales, Revenue, Price and Gross Margin (2019-2024)
13.6.4 Intel Main Business Overview
13.6.5 Intel Latest Developments
13.7 Medtronic
13.7.1 Medtronic Company Information
13.7.2 Medtronic AI for Radiology Product Portfolios and Specifications
13.7.3 Medtronic AI for Radiology Sales, Revenue, Price and Gross Margin (2019-2024)
13.7.4 Medtronic Main Business Overview
13.7.5 Medtronic Latest Developments
13.8 Microsoft
13.8.1 Microsoft Company Information
13.8.2 Microsoft AI for Radiology Product Portfolios and Specifications
13.8.3 Microsoft AI for Radiology Sales, Revenue, Price and Gross Margin (2019-2024)
13.8.4 Microsoft Main Business Overview
13.8.5 Microsoft Latest Developments
13.9 NVIDIA
13.9.1 NVIDIA Company Information
13.9.2 NVIDIA AI for Radiology Product Portfolios and Specifications
13.9.3 NVIDIA AI for Radiology Sales, Revenue, Price and Gross Margin (2019-2024)
13.9.4 NVIDIA Main Business Overview
13.9.5 NVIDIA Latest Developments
13.10 Siemens AG
13.10.1 Siemens AG Company Information
13.10.2 Siemens AG AI for Radiology Product Portfolios and Specifications
13.10.3 Siemens AG AI for Radiology Sales, Revenue, Price and Gross Margin (2019-2024)
13.10.4 Siemens AG Main Business Overview
13.10.5 Siemens AG Latest Developments
14 Research Findings and Conclusion
听
听
*If Applicable.
