Global Artificial Intelligence in Radiology Industry

2023-2029 Global Artificial Intelligence in Radiology Industry Research & Trends Analysis Report

Global Artificial Intelligence in Radiology Industry

2023-2029 Global Artificial Intelligence in Radiology Industry Research & Trends Analysis Report


Get latest Market Research Reports on Artificial Intelligence in Radiology. Industry analysis and Market Report on Artificial Intelligence in Radiology is a syndicated market report, published as Global Artificial Intelligence in Radiology Market Research Report . It is complete Research Study and Industry Analysis of Artificial Intelligence in Radiology market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market

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According to the research report published by Market IntelliX, the global market for Artificial Intelligence in Radiology should grow from US$ million in 2022 to US$ million by 2029, with a CAGR of % for the period of 2023-2029.

China Artificial Intelligence in Radiology market should grow from US$ million in 2022 to US$ million by 2029, with a CAGR of % for the period of 2023-2029.

The United States Artificial Intelligence in Radiology market should grow from US$ million in 2022 to US$ million by 2029, with a CAGR of % for the period of 2023-2029.

In terms of type, Cloud Based segment holds a share about % in 2022 and will reach % in 2029; while in terms of application, Hospital has a share approximately % in 2022 and will grow at a CAGR % during 2023 and 2029.

The global key manufacturers of Artificial Intelligence in Radiology include GE, IBM, Google, Philips, Amazon, Siemens, NVIDIA Corporation, Intel and Bayer(Blackford Analysis), etc. In 2022, the global top five players hold a share approximately % in terms of revenue.

Artificial intelligence holds significant promise for radiology and is already starting to revolutionize healthcare in many ways. From bridging the gap between the demands of ever-increasing, extremely complex data and the number of radiologists, to simplifying data interpretation through sophisticated AI algorithms and thereby improving the diagnostic process. AI is a valuable tool that, when combined with the human expertise of radiologists and clinicians, offers vast potential to the healthcare industry.

This report aims to provide a comprehensive study of the global market for Artificial Intelligence in Radiology. Report Highlights:

(1) Global Artificial Intelligence in Radiology market size (value), history data from 2018-2022 and forecast data from 2023 to 2029.

(2) Global Artificial Intelligence in Radiology market competitive situation, revenue and market share, from 2018 to 2022.

(3) China Artificial Intelligence in Radiology market competitive situation, revenue and market share, from 2018 to 2022.

(4) Global Artificial Intelligence in Radiology segment by region (or country), key regions cover the United States, Europe, Japan, South Korea, Southeast Asia and India, etc.

(5) Global Artificial Intelligence in Radiology segment by type and by application and regional segment by type and by application.

(6) Artificial Intelligence in Radiology industry supply chain, upstream, midstream and downstream analysis.

Market segment by regions, regional analysis covers

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia, Italy and Rest of Europe)

Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)

South America (Brazil, Rest of South America)

Middle East & Africa

Market segment by type, covers

Cloud Based

On-Premise

Market segment by application, can be divided into

Hospital

Biomedical Company

Academic Institution

Other

Market segment by players, this report covers

GE

IBM

Google

Philips

Amazon

Siemens

NVIDIA Corporation

Intel

Bayer(Blackford Analysis)

Fujifilm

Aidoc

Arterys

Lunit

ContextVision AB

deepcOS

Volpara Health Technologies Ltd

CureMetrix

Densitas

QView Medical

Icad

1 Market Overview

1.1 Product Overview and Scope of Artificial Intelligence in Radiology

1.2 Global Artificial Intelligence in Radiology Market Size and Forecast

1.3 China Artificial Intelligence in Radiology Market Size and Forecast

1.4 China Market Percentage in Global

1.4.1 By Revenue, China Artificial Intelligence in Radiology Share in Global Market, 2018-2029

1.4.2 Artificial Intelligence in Radiology Market Size: China VS Global, 2018-2029

1.5 Artificial Intelligence in Radiology Market Dynamics

1.5.1 Artificial Intelligence in Radiology Market Drivers

1.5.2 Artificial Intelligence in Radiology Market Restraints

1.5.3 Artificial Intelligence in Radiology Industry Trends

1.5.4 Artificial Intelligence in Radiology Industry Policy

2 Global Competitive Situation by Company

2.1 Global Artificial Intelligence in Radiology Revenue by Company (2018-2023)

2.2 Global Artificial Intelligence in Radiology Participants, Market Position (Tier 1, Tier 2 and Tier 3)

2.3 Global Artificial Intelligence in Radiology Concentration Ratio

2.4 Global Artificial Intelligence in Radiology Mergers & Acquisitions, Expansion Plans

2.5 Global Artificial Intelligence in Radiology Manufacturers Product Type

3 China Competitive Situation by Company

3.1 China Artificial Intelligence in Radiology Revenue by Company (2018-2023)

3.2 China Artificial Intelligence in Radiology Artificial Intelligence in Radiology Participants, Market Position (Tier 1, Tier 2 and Tier 3)

3.3 China Artificial Intelligence in Radiology, Revenue Percentage of Local Players VS Foreign Manufacturers (2018-2023)

4 Industry Chain Analysis

4.1 Artificial Intelligence in Radiology Industry Chain

4.2 Artificial Intelligence in Radiology Upstream Analysis

4.3 Artificial Intelligence in Radiology Midstream Analysis

4.4 Artificial Intelligence in Radiology Downstream Analysis

5 Sights by Type

5.1 Artificial Intelligence in Radiology Classification

5.1.1 Cloud Based

5.1.2 On-Premise

5.2 By Type, Global Artificial Intelligence in Radiology Market Size & CAGR, 2018 VS 2022 VS 2029

5.3 By Type, Global Artificial Intelligence in Radiology Revenue, 2018-2029

6 Sights by Application

6.1 Artificial Intelligence in Radiology Segment by Application

6.1.1 Hospital

6.1.2 Biomedical Company

6.1.3 Academic Institution

6.1.4 Other

6.2 By Application, Global Artificial Intelligence in Radiology Market Size & CAGR, 2018 VS 2022 VS 2029

6.3 By Application, Global Artificial Intelligence in Radiology Revenue, 2018-2029

7 Sales Sights by Region

7.1 By Region, Global Artificial Intelligence in Radiology Market Size, 2018 VS 2022 VS 2029

7.2 By Region, Global Artificial Intelligence in Radiology Market Size, 2018-2029

7.3 North America

7.3.1 North America Artificial Intelligence in Radiology Market Size & Forecasts, 2018-2029

7.3.2 By Country, North America Artificial Intelligence in Radiology Market Size Market Share

7.4 Europe

7.4.1 Europe Artificial Intelligence in Radiology Market Size & Forecasts, 2018-2029

7.4.2 By Country, Europe Artificial Intelligence in Radiology Market Size Market Share

7.5 Asia Pacific

7.5.1 Asia Pacific Artificial Intelligence in Radiology Market Size & Forecasts, 2018-2029

7.5.2 By Country/Region, Asia Pacific Artificial Intelligence in Radiology Market Size Market Share

7.6 South America

7.6.1 South America Artificial Intelligence in Radiology Market Size & Forecasts, 2018-2029

7.6.2 By Country, South America Artificial Intelligence in Radiology Market Size Market Share

7.7 Middle East & Africa

8 Sights by Country Level

8.1 By Country, Global Artificial Intelligence in Radiology Market Size & CAGR，2018 VS 2022 VS 2029

8.2 By Country, Global Artificial Intelligence in Radiology Market Size, 2018-2029

8.3 U.S.

8.3.1 U.S. Artificial Intelligence in Radiology Market Size, 2018-2029

8.3.2 By Company, U.S. Artificial Intelligence in Radiology Revenue Market Share, 2018-2023

8.3.3 By Type, U.S. Artificial Intelligence in Radiology Revenue Market Share, 2022 VS 2029

8.3.4 By Application, U.S. Artificial Intelligence in Radiology Revenue Market Share, 2022 VS 2029

8.4 Europe

8.4.1 Europe Artificial Intelligence in Radiology Market Size, 2018-2029

8.4.2 By Company, Europe Artificial Intelligence in Radiology Revenue Market Share, 2018-2023

8.4.3 By Type, Europe Artificial Intelligence in Radiology Revenue Market Share, 2022 VS 2029

8.4.4 By Application, Europe Artificial Intelligence in Radiology Revenue Market Share, 2022 VS 2029

8.5 China

8.5.1 China Artificial Intelligence in Radiology Market Size, 2018-2029

8.5.2 By Company, China Artificial Intelligence in Radiology Revenue Market Share, 2018-2023

8.5.3 By Type, China Artificial Intelligence in Radiology Revenue Market Share, 2022 VS 2029

8.5.4 By Application, China Artificial Intelligence in Radiology Revenue Market Share, 2022 VS 2029

8.6 Japan

8.6.1 Japan Artificial Intelligence in Radiology Market Size, 2018-2029

8.6.2 By Company, Japan Artificial Intelligence in Radiology Revenue Market Share, 2018-2023

8.6.3 By Type, Japan Artificial Intelligence in Radiology Revenue Market Share, 2022 VS 2029

8.6.4 By Application, Japan Artificial Intelligence in Radiology Revenue Market Share, 2022 VS 2029

8.7 South Korea

8.7.1 South Korea Artificial Intelligence in Radiology Market Size, 2018-2029

8.7.2 By Company, South Korea Artificial Intelligence in Radiology Revenue Market Share, 2018-2023

8.7.3 By Type, South Korea Artificial Intelligence in Radiology Revenue Market Share, 2022 VS 2029

8.7.4 By Application, South Korea Artificial Intelligence in Radiology Revenue Market Share, 2022 VS 2029

8.8 Southeast Asia

8.8.1 Southeast Asia Artificial Intelligence in Radiology Market Size, 2018-2029

8.8.2 By Company, Southeast Asia Artificial Intelligence in Radiology Revenue Market Share, 2018-2023

8.8.3 By Type, Southeast Asia Artificial Intelligence in Radiology Revenue Market Share, 2022 VS 2029

8.8.4 By Application, Southeast Asia Artificial Intelligence in Radiology Revenue Market Share, 2022 VS 2029

8.9 India

8.9.1 India Artificial Intelligence in Radiology Market Size, 2018-2029

8.9.2 By Company, India Artificial Intelligence in Radiology Revenue Market Share, 2018-2023

8.9.3 By Type, India Artificial Intelligence in Radiology Revenue Market Share, 2022 VS 2029

8.9.4 By Application, India Artificial Intelligence in Radiology Revenue Market Share, 2022 VS 2029

8.10 Middle East & Asia

8.10.1 Middle East & Asia Artificial Intelligence in Radiology Market Size, 2018-2029

8.10.2 By Company, Middle East & Asia Artificial Intelligence in Radiology Revenue Market Share, 2018-2023

8.10.3 By Type, Middle East & Asia Artificial Intelligence in Radiology Revenue Market Share, 2022 VS 2029

8.10.4 By Application, Middle East & Asia Artificial Intelligence in Radiology Revenue Market Share, 2022 VS 2029

9 Global Manufacturers Profile

9.1 GE

9.1.1 GE Company Information, Head Office, Market Area and Industry Position

9.1.2 GE Company Profile and Main Business

9.1.3 GE Artificial Intelligence in Radiology Models, Specifications and Application

9.1.4 GE Artificial Intelligence in Radiology Revenue and Gross Margin, 2018-2023

9.1.5 GE Recent Developments

9.2 IBM

9.2.1 IBM Company Information, Head Office, Market Area and Industry Position

9.2.2 IBM Company Profile and Main Business

9.2.3 IBM Artificial Intelligence in Radiology Models, Specifications and Application

9.2.4 IBM Artificial Intelligence in Radiology Revenue and Gross Margin, 2018-2023

9.2.5 IBM Recent Developments

9.3 Google

9.3.1 Google Company Information, Head Office, Market Area and Industry Position

9.3.2 Google Company Profile and Main Business

9.3.3 Google Artificial Intelligence in Radiology Models, Specifications and Application

9.3.4 Google Artificial Intelligence in Radiology Revenue and Gross Margin, 2018-2023

9.3.5 Google Recent Developments

9.4 Philips

9.4.1 Philips Company Information, Head Office, Market Area and Industry Position

9.4.2 Philips Company Profile and Main Business

9.4.3 Philips Artificial Intelligence in Radiology Models, Specifications and Application

9.4.4 Philips Artificial Intelligence in Radiology Revenue and Gross Margin, 2018-2023

9.4.5 Philips Recent Developments

9.5 Amazon

9.5.1 Amazon Company Information, Head Office, Market Area and Industry Position

9.5.2 Amazon Company Profile and Main Business

9.5.3 Amazon Artificial Intelligence in Radiology Models, Specifications and Application

9.5.4 Amazon Artificial Intelligence in Radiology Revenue and Gross Margin, 2018-2023

9.5.5 Amazon Recent Developments

9.6 Siemens

9.6.1 Siemens Company Information, Head Office, Market Area and Industry Position

9.6.2 Siemens Company Profile and Main Business

9.6.3 Siemens Artificial Intelligence in Radiology Models, Specifications and Application

9.6.4 Siemens Artificial Intelligence in Radiology Revenue and Gross Margin, 2018-2023

9.6.5 Siemens Recent Developments

9.7 NVIDIA Corporation

9.7.1 NVIDIA Corporation Company Information, Head Office, Market Area and Industry Position

9.7.2 NVIDIA Corporation Company Profile and Main Business

9.7.3 NVIDIA Corporation Artificial Intelligence in Radiology Models, Specifications and Application

9.7.4 NVIDIA Corporation Artificial Intelligence in Radiology Revenue and Gross Margin, 2018-2023

9.7.5 NVIDIA Corporation Recent Developments

9.8 Intel

9.8.1 Intel Company Information, Head Office, Market Area and Industry Position

9.8.2 Intel Company Profile and Main Business

9.8.3 Intel Artificial Intelligence in Radiology Models, Specifications and Application

9.8.4 Intel Artificial Intelligence in Radiology Revenue and Gross Margin, 2018-2023

9.8.5 Intel Recent Developments

9.9 Bayer(Blackford Analysis)

9.9.1 Bayer(Blackford Analysis) Company Information, Head Office, Market Area and Industry Position

9.9.2 Bayer(Blackford Analysis) Company Profile and Main Business

9.9.3 Bayer(Blackford Analysis) Artificial Intelligence in Radiology Models, Specifications and Application

9.9.4 Bayer(Blackford Analysis) Artificial Intelligence in Radiology Revenue and Gross Margin, 2018-2023

9.9.5 Bayer(Blackford Analysis) Recent Developments

9.10 Fujifilm

9.10.1 Fujifilm Company Information, Head Office, Market Area and Industry Position

9.10.2 Fujifilm Company Profile and Main Business

9.10.3 Fujifilm Artificial Intelligence in Radiology Models, Specifications and Application

9.10.4 Fujifilm Artificial Intelligence in Radiology Revenue and Gross Margin, 2018-2023

9.10.5 Fujifilm Recent Developments

9.11 Aidoc

9.11.1 Aidoc Company Information, Head Office, Market Area and Industry Position

9.11.2 Aidoc Company Profile and Main Business

9.11.3 Aidoc Artificial Intelligence in Radiology Models, Specifications and Application

9.11.4 Aidoc Artificial Intelligence in Radiology Revenue and Gross Margin, 2018-2023

9.11.5 Aidoc Recent Developments

9.12 Arterys

9.12.1 Arterys Company Information, Head Office, Market Area and Industry Position

9.12.2 Arterys Company Profile and Main Business

9.12.3 Arterys Artificial Intelligence in Radiology Models, Specifications and Application

9.12.4 Arterys Artificial Intelligence in Radiology Revenue and Gross Margin, 2018-2023

9.12.5 Arterys Recent Developments

9.13 Lunit

9.13.1 Lunit Company Information, Head Office, Market Area and Industry Position

9.13.2 Lunit Company Profile and Main Business

9.13.3 Lunit Artificial Intelligence in Radiology Models, Specifications and Application

9.13.4 Lunit Artificial Intelligence in Radiology Revenue and Gross Margin, 2018-2023

9.13.5 Lunit Recent Developments

9.14 ContextVision AB

9.14.1 ContextVision AB Company Information, Head Office, Market Area and Industry Position

9.14.2 ContextVision AB Company Profile and Main Business

9.14.3 ContextVision AB Artificial Intelligence in Radiology Models, Specifications and Application

9.14.4 ContextVision AB Artificial Intelligence in Radiology Revenue and Gross Margin, 2018-2023

9.14.5 ContextVision AB Recent Developments

9.15 deepcOS

9.15.1 deepcOS Company Information, Head Office, Market Area and Industry Position

9.15.2 deepcOS Company Profile and Main Business

9.15.3 deepcOS Artificial Intelligence in Radiology Models, Specifications and Application

9.15.4 deepcOS Artificial Intelligence in Radiology Revenue and Gross Margin, 2018-2023

9.15.5 deepcOS Recent Developments

9.16 Volpara Health Technologies Ltd

9.16.1 Volpara Health Technologies Ltd Company Information, Head Office, Market Area and Industry Position

9.16.2 Volpara Health Technologies Ltd Company Profile and Main Business

9.16.3 Volpara Health Technologies Ltd Artificial Intelligence in Radiology Models, Specifications and Application

9.16.4 Volpara Health Technologies Ltd Artificial Intelligence in Radiology Revenue and Gross Margin, 2018-2023

9.16.5 Volpara Health Technologies Ltd Recent Developments

9.17 CureMetrix

9.17.1 CureMetrix Company Information, Head Office, Market Area and Industry Position

9.17.2 CureMetrix Company Profile and Main Business

9.17.3 CureMetrix Artificial Intelligence in Radiology Models, Specifications and Application

9.17.4 CureMetrix Artificial Intelligence in Radiology Revenue and Gross Margin, 2018-2023

9.17.5 CureMetrix Recent Developments

9.18 Densitas

9.18.1 Densitas Company Information, Head Office, Market Area and Industry Position

9.18.2 Densitas Company Profile and Main Business

9.18.3 Densitas Artificial Intelligence in Radiology Models, Specifications and Application

9.18.4 Densitas Artificial Intelligence in Radiology Revenue and Gross Margin, 2018-2023

9.18.5 Densitas Recent Developments

9.19 QView Medical

9.19.1 QView Medical Company Information, Head Office, Market Area and Industry Position

9.19.2 QView Medical Company Profile and Main Business

9.19.3 QView Medical Artificial Intelligence in Radiology Models, Specifications and Application

9.19.4 QView Medical Artificial Intelligence in Radiology Revenue and Gross Margin, 2018-2023

9.19.5 QView Medical Recent Developments

9.20 Icad

9.20.1 Icad Company Information, Head Office, Market Area and Industry Position

9.20.2 Icad Company Profile and Main Business

9.20.3 Icad Artificial Intelligence in Radiology Models, Specifications and Application

9.20.4 Icad Artificial Intelligence in Radiology Revenue and Gross Margin, 2018-2023

9.20.5 Icad Recent Developments

10 Conclusion

11 Appendix

11.1 Research Methodology

11.2 Data Source

11.2.1 Secondary Sources

11.2.2 Primary Sources

11.3 Market Estimation Model

11.4 Disclaimer

Tables & Figures:
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Research Methodology:
This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.
Artificial Intelligence in Radiology Market Size Estimation

To estimate market size and trends, we use a combination of top-down and bottom-up methods. This allows us to evaluate the market from various perspectives—by company, region, product type, and end users.

Our estimates are based on actual sales data, excluding any discounts. Segment breakdowns and market shares are calculated using weighted averages based on usage rates and average prices. Regional insights are determined by how widely a product or service is adopted in each area.

Key companies are identified through secondary sources like industry reports and company filings. We then verify revenue estimates and other key data points through primary research, including interviews with industry experts, company executives, and decision-makers.

We take into account all relevant factors that could influence the market and validate our findings with real-world input. Our final insights combine both qualitative and quantitative data to provide a well-rounded view. Please note, these estimates do not account for unexpected changes such as inflation, economic downturns, or policy shifts.

Data Source

Secondary Sources

This study draws on a wide range of secondary sources, including press releases, annual reports, non-profit organizations, industry associations, government agencies, and customs data. We also referred to reputable databases and directories such as Bloomberg, Wind Info, Hoovers, Factiva, Trading Economics, Statista, and others. Additional references include investor presentations, company filings (e.g., SEC), economic data, and documents from regulatory and industry bodies.

These sources were used to gather technical and market-focused insights, identify key players, analyze market segmentation and classification, and track major trends and developments across industries.

Market Size
  • Segmental value
  • Geographic Penetration
  • Product Adoption Rate for Different market
  • Journals, Websites, and Press Releases
  • Annual Reports and SEC Filings
  • Company Websites and Press Releases
  • Public and Paid Databases
  • Market Intellix Data Repository
Market Position of Top Company
  • Product Financials
  • Geographic value Mix
  • Total Company value
  • Business/Segmental value Mix
Qualitative Analysis
  • Influence Factors
  • Market Potential
  • Market Risks and Opportunities
  • Industry Trends
  • Geographical Features
  • Government Policies
  • Company Websites and Press Releases
  • Public and Paid Databases
  • Annual Reports
  • Industry Associations
  • Market Intellix Data Repository

Primary Sources

As part of our primary research, we interviewed a variety of stakeholders from both the supply and demand sides to gather valuable qualitative and quantitative insights.

On the supply side, we spoke with product manufacturers, competitors, industry experts, research institutions, distributors, traders, and raw material suppliers. On the demand side, we engaged with business leaders, marketing and sales heads, technology and innovation directors, supply chain executives, and end users across key organizations.

These conversations helped us better understand market segmentation, pricing, applications, leading players, supply chains, demand trends, industry outlook, and key market dynamics—including risks, opportunities, barriers, and strategic developments.

Key Data Information from Primary Sources

Primary Sources Parameters Key Data
Market Segments(by Application, by Type)
  • Value by Type
  • Status and Forecast
  • Value by Application
  • Value by Regions, Status and Forecast (2025-2031)
  • Value Market Share by Type
  • Value Growth Rate by Type
  • Value by Application
  • Percentage and Growth Rate by Application
  • Value Growth Rate and Market Share by Regions
  • Market Size Status and Forecast (2025-2031)
Total Market
  • Overall Size, Status and Forecast
  • Market Size Status and Forecast (2025-2031)
Frequently asked questions(FAQ's):
Is the Artificial Intelligence in Radiology Market shifting its focus from growth to value?
Recognize the areas along the Artificial Intelligence in Radiology Market's value chain where players are generating value. To get a complete picture, kindly read the entire report.
What are the major applications for Artificial Intelligence in Radiology?
Artificial Intelligence in Radiology has a wide range of applications, including and others.
What years are taken into account in the Artificial Intelligence in Radiology Market study?
The Artificial Intelligence in Radiology Market study evaluates the year spans as follows: Historical year: 2019 to 2024; Base year: 2024; Forecast period**: 2025 to 2030 [** unless otherwise stated]
What challenges does the Artificial Intelligence in Radiology Market face in the future?
The convergence of various vital triggers, including a major slowdown in Western economies, and some critical points in globalization, leads to the transformation of business in the Artificial Intelligence in Radiology Market across the extensive corporate landscape.
What does the future hold for the Artificial Intelligence in Radiology Industry?
This latest research publication on the Artificial Intelligence in Radiology Market is an in-depth market tracker that provides a comprehensive assessment of the challenges that manufacturers face in achieving new growth cycles in the current scenario.