AI for Radiology Market, Global Outlook and Forecast 2023-2030
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.
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. This report contains market size and forecasts of AI for Radiology in global, including the following market information:
Global AI for Radiology Market Revenue, 2018-2023, 2024-2030, ($ millions)
Global AI for Radiology Market Sales, 2018-2023, 2024-2030, (K Units)
Global top five AI for Radiology companies in 2022 (%)
The global AI for Radiology market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is Forecast to Reach $ Million.
Deep Learning Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of AI for Radiology include Arterys, Aidoc, Qure.ai, General Electric (GE) Company, IBM, Intel, Medtronic, Microsoft and NVIDIA, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the AI for Radiology manufacturers, suppliers, distributors and industry experts on this industry, involving the sales, revenue, demand, price change, product type, recent development and plan, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global AI for Radiology Market, by Type, 2018-2023, 2024-2030 ($ Millions) & (K Units)
Global AI for Radiology Market Segment Percentages, by Type, 2022 (%)
Deep Learning
Computer Vision
Others
Global AI for Radiology Market, by Application, 2018-2023, 2024-2030 ($ Millions) & (K Units)
Global AI for Radiology Market Segment Percentages, by Application, 2022 (%)
Neurology
Cardiovascular
Breast
Lung
Liver
Others
Global AI for Radiology Market, By Region and Country, 2018-2023, 2024-2030 ($ Millions) & (K Units)
Global AI for Radiology Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies AI for Radiology revenues in global market, 2018-2023 (Estimated), ($ millions)
Key companies AI for Radiology revenues share in global market, 2022 (%)
Key companies AI for Radiology sales in global market, 2018-2023 (Estimated), (K Units)
Key companies AI for Radiology sales share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
Arterys
Aidoc
Qure.ai
General Electric (GE) Company
IBM
Intel
Medtronic
Microsoft
NVIDIA
Siemens AG
Outline of Major Chapters:
Chapter 1: Introduces the definition of AI for Radiology, market overview.
Chapter 2: Global AI for Radiology market size in revenue and volume.
Chapter 3: Detailed analysis of AI for Radiology manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc.
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: Sales 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 of each country in the world.
Chapter 7: 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 8: Global AI for Radiology capacity by region & country.
Chapter 9: 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 10: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 11: The main points and conclusions of the report.
