According to our (Global Info Research) latest study, the global AI for Radiology market size was valued at USD million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of % during review period.
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 ¥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.
The Global Info Research report includes an overview of the development of the AI for Radiology industry chain, the market status of Neurology (Deep Learning, Computer Vision), Cardiovascular (Deep Learning, Computer Vision), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of AI for Radiology.
Regionally, the report analyzes the AI for Radiology markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global AI for Radiology market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the AI for Radiology market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the AI for Radiology industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the sales quantity (K Units), revenue generated, and market share of different by Type (e.g., Deep Learning, Computer Vision).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the AI for Radiology market.
Regional Analysis: The report involves examining the AI for Radiology market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the AI for Radiology market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to AI for Radiology:
Company Analysis: Report covers individual AI for Radiology manufacturers, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards AI for Radiology This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Neurology, Cardiovascular).
Technology Analysis: Report covers specific technologies relevant to AI for Radiology. It assesses the current state, advancements, and potential future developments in AI for Radiology areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the AI for Radiology market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
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.
Market segment by Type
Deep Learning
Computer Vision
Others
Market segment by Application
Neurology
Cardiovascular
Breast
Lung
Liver
Others
Major players covered
Arterys
Aidoc
Qure.ai
General Electric (GE) Company
IBM
Intel
Medtronic
Microsoft
NVIDIA
Siemens AG
Market segment by region, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
South America (Brazil, Argentina, Colombia, and Rest of South America)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)
The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe AI for Radiology product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of AI for Radiology, with price, sales, revenue and global market share of AI for Radiology from 2019 to 2024.
Chapter 3, the AI for Radiology competitive situation, sales quantity, revenue and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the AI for Radiology breakdown data are shown at the regional level, to show the sales quantity, consumption value and growth by regions, from 2019 to 2030.
Chapter 5 and 6, to segment the sales by Type and application, with sales market share and growth rate by type, application, from 2019 to 2030.
Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value and market share for key countries in the world, from 2017 to 2023.and AI for Radiology market forecast, by regions, type and application, with sales and revenue, from 2025 to 2030.
Chapter 12, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 13, the key raw materials and key suppliers, and industry chain of AI for Radiology.
Chapter 14 and 15, to describe AI for Radiology sales channel, distributors, customers, research findings and conclusion.
Summary:
Get latest Market Research Reports on AI for Radiology. Industry analysis & Market Report on AI for Radiology is a syndicated market report, published as Global AI for Radiology Market 2024 by Manufacturers, Regions, Type and Application, Forecast to 2030. It is complete Research Study and Industry Analysis of AI for Radiology market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.