Report Detail
Global Artificial Intelligence Based Software for Radiology Market Growth (Status and Outlook) 2022-2028
- RnM4484241 |
- 19 August, 2022 |
- Global |
- 111 Pages |
- LPI(LP Information) |
- Service & Software
AI can be used as an optimising tool to assist the technologist and radiologist in choosing a personalised patient's protocol, tracking the patient's dose parameters, providing an estimate of the radiation risks. AI can also aid the reporting workflow and help the linking between words, images, and quantitative data.
The global market for Artificial Intelligence Based Software for Radiology is estimated to increase from US$ million in 2021 to reach US$ million by 2028, exhibiting a CAGR of % during 2022-2028. Keeping in mind the uncertainties of COVID-19 and Russia-Ukraine War, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use sectors. These insights are included in the report as a major market contributor.
The APAC Artificial Intelligence Based Software for Radiology market is expected at value of US$ million in 2022 and grow at approximately % CAGR during 2022 and 2028.
The United States Artificial Intelligence Based Software for Radiology market is expected at value of US$ million in 2022 and grow at approximately % CAGR during 2022 and 2028.
The Europe Artificial Intelligence Based Software for Radiology market is expected at value of US$ million in 2022 and grow at approximately % CAGR during 2022 and 2028.
The China Artificial Intelligence Based Software for Radiology market is expected at value of US$ million in 2022 and grow at approximately % CAGR during 2022 and 2028.
Global key Artificial Intelligence Based Software for Radiology players cover AI4MedImaging, annalise.ai, Visage Imaging, Cerebriu and Lunit, etc. In terms of revenue, the global largest two companies occupy a share nearly % in 2021.
Report Coverage
This latest report provides a deep insight into the global Artificial Intelligence Based Software for Radiology market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, value chain analysis, etc.
This report aims to provide a comprehensive picture of the global Artificial Intelligence Based Software for Radiology market, with both quantitative and qualitative data, to help readers understand how the Artificial Intelligence Based Software for Radiology market scenario changed across the globe during the pandemic and Russia-Ukraine War.
The base year considered for analyses is 2021, while the market estimates and forecasts are given from 2022 to 2028. The market estimates are provided in terms of revenue in USD millions.
Market Segmentation:
The study segments the Artificial Intelligence Based Software for Radiology market and forecasts the market size by Type (X-ray, Ultrasound and Others), by Application (Cardiac, Breast, Chest and Neuro), and region (APAC, Americas, Europe, and Middle East & Africa).
Segmentation by type
X-ray
Ultrasound
Others
Segmentation by application
Cardiac
Breast
Chest
Neuro
Others
Segmentation 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
Major companies covered
AI4MedImaging
annalise.ai
Visage Imaging
Cerebriu
Lunit
Smart Soft Healthcare
Radiobotics
AZmed
Vara
Deep01
Combinostics
iCAD
contextflow
Riverain Technologies
Siemens Healthineers
Chapter Introduction
Chapter 1: Scope of Artificial Intelligence Based Software for Radiology, Research Methodology, etc.
Chapter 2: Executive Summary, global Artificial Intelligence Based Software for Radiology market size and CAGR, Artificial Intelligence Based Software for Radiology market size by region, by type, by application, historical data from 2017 to 2022, and forecast to 2028.
Chapter 3: Artificial Intelligence Based Software for Radiology revenue, global market share, and industry ranking by company, 2017-2022
Chapter 4: Global Artificial Intelligence Based Software for Radiology revenue by region and by country. Country specific data and market value analysis for the U.S., Canada, Europe, China, Japan, South Korea, Southeast Asia, India, Latin America and Middle East & Africa.
Chapter 5, 6, 7, 8: Americas, APAC, Europe, Middle East & Africa, revenue segment by country, by type, and application.
Chapter 9: Analysis of the current market trends, market forecast, opportunities and economic trends that are affecting the future marketplace
Chapter 10: Manufacturing cost structure analysis
Chapter 11: Sales channel, distributors, and customers
Chapter 12: Global Artificial Intelligence Based Software for Radiology market size forecast by region, by country, by type, and application
Chapter 13: Comprehensive company profiles of the leading players, including AI4MedImaging, annalise.ai, Visage Imaging, Cerebriu, Lunit, Smart Soft Healthcare, Radiobotics, AZmed and Vara, etc.
Chapter 14: Research Findings and Conclusion
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
2 Executive Summary
- 2.1 World Market Overview
- 2.1.1 Global Artificial Intelligence Based Software for Radiology Market Size 2017-2028
- 2.1.2 Artificial Intelligence Based Software for Radiology Market Size CAGR by Region 2017 VS 2022 VS 2028
- 2.2 Artificial Intelligence Based Software for Radiology Segment by Type
- 2.2.1 X-ray
- 2.2.2 Ultrasound
- 2.2.3 Others
- 2.3 Artificial Intelligence Based Software for Radiology Market Size by Type
- 2.3.1 Artificial Intelligence Based Software for Radiology Market Size CAGR by Type (2017 VS 2022 VS 2028)
- 2.3.2 Global Artificial Intelligence Based Software for Radiology Market Size Market Share by Type (2017-2022)
- 2.4 Artificial Intelligence Based Software for Radiology Segment by Application
- 2.4.1 Cardiac
- 2.4.2 Breast
- 2.4.3 Chest
- 2.4.4 Neuro
- 2.4.5 Others
- 2.5 Artificial Intelligence Based Software for Radiology Market Size by Application
- 2.5.1 Artificial Intelligence Based Software for Radiology Market Size CAGR by Application (2017 VS 2022 VS 2028)
- 2.5.2 Global Artificial Intelligence Based Software for Radiology Market Size Market Share by Application (2017-2022)
3 Artificial Intelligence Based Software for Radiology Market Size by Player
- 3.1 Artificial Intelligence Based Software for Radiology Market Size Market Share by Players
- 3.1.1 Global Artificial Intelligence Based Software for Radiology Revenue by Players (2020-2022)
- 3.1.2 Global Artificial Intelligence Based Software for Radiology Revenue Market Share by Players (2020-2022)
- 3.2 Global Artificial Intelligence Based Software for Radiology Key Players Head office and Products Offered
- 3.3 Market Concentration Rate Analysis
- 3.3.1 Competition Landscape Analysis
- 3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2020-2022)
- 3.4 New Products and Potential Entrants
- 3.5 Mergers & Acquisitions, Expansion
4 Artificial Intelligence Based Software for Radiology by Regions
- 4.1 Artificial Intelligence Based Software for Radiology Market Size by Regions (2017-2022)
- 4.2 Americas Artificial Intelligence Based Software for Radiology Market Size Growth (2017-2022)
- 4.3 APAC Artificial Intelligence Based Software for Radiology Market Size Growth (2017-2022)
- 4.4 Europe Artificial Intelligence Based Software for Radiology Market Size Growth (2017-2022)
- 4.5 Middle East & Africa Artificial Intelligence Based Software for Radiology Market Size Growth (2017-2022)
5 Americas
- 5.1 Americas Artificial Intelligence Based Software for Radiology Market Size by Country (2017-2022)
- 5.2 Americas Artificial Intelligence Based Software for Radiology Market Size by Type (2017-2022)
- 5.3 Americas Artificial Intelligence Based Software for Radiology Market Size by Application (2017-2022)
- 5.4 United States
- 5.5 Canada
- 5.6 Mexico
- 5.7 Brazil
6 APAC
- 6.1 APAC Artificial Intelligence Based Software for Radiology Market Size by Region (2017-2022)
- 6.2 APAC Artificial Intelligence Based Software for Radiology Market Size by Type (2017-2022)
- 6.3 APAC Artificial Intelligence Based Software for Radiology Market Size by Application (2017-2022)
- 6.4 China
- 6.5 Japan
- 6.6 Korea
- 6.7 Southeast Asia
- 6.8 India
- 6.9 Australia
7 Europe
- 7.1 Europe Artificial Intelligence Based Software for Radiology by Country (2017-2022)
- 7.2 Europe Artificial Intelligence Based Software for Radiology Market Size by Type (2017-2022)
- 7.3 Europe Artificial Intelligence Based Software for Radiology Market Size by Application (2017-2022)
- 7.4 Germany
- 7.5 France
- 7.6 UK
- 7.7 Italy
- 7.8 Russia
8 Middle East & Africa
- 8.1 Middle East & Africa Artificial Intelligence Based Software for Radiology by Region (2017-2022)
- 8.2 Middle East & Africa Artificial Intelligence Based Software for Radiology Market Size by Type (2017-2022)
- 8.3 Middle East & Africa Artificial Intelligence Based Software for Radiology Market Size by Application (2017-2022)
- 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 Global Artificial Intelligence Based Software for Radiology Market Forecast
- 10.1 Global Artificial Intelligence Based Software for Radiology Forecast by Regions (2023-2028)
- 10.1.1 Global Artificial Intelligence Based Software for Radiology Forecast by Regions (2023-2028)
- 10.1.2 Americas Artificial Intelligence Based Software for Radiology Forecast
- 10.1.3 APAC Artificial Intelligence Based Software for Radiology Forecast
- 10.1.4 Europe Artificial Intelligence Based Software for Radiology Forecast
- 10.1.5 Middle East & Africa Artificial Intelligence Based Software for Radiology Forecast
- 10.2 Americas Artificial Intelligence Based Software for Radiology Forecast by Country (2023-2028)
- 10.2.1 United States Artificial Intelligence Based Software for Radiology Market Forecast
- 10.2.2 Canada Artificial Intelligence Based Software for Radiology Market Forecast
- 10.2.3 Mexico Artificial Intelligence Based Software for Radiology Market Forecast
- 10.2.4 Brazil Artificial Intelligence Based Software for Radiology Market Forecast
- 10.3 APAC Artificial Intelligence Based Software for Radiology Forecast by Region (2023-2028)
- 10.3.1 China Artificial Intelligence Based Software for Radiology Market Forecast
- 10.3.2 Japan Artificial Intelligence Based Software for Radiology Market Forecast
- 10.3.3 Korea Artificial Intelligence Based Software for Radiology Market Forecast
- 10.3.4 Southeast Asia Artificial Intelligence Based Software for Radiology Market Forecast
- 10.3.5 India Artificial Intelligence Based Software for Radiology Market Forecast
- 10.3.6 Australia Artificial Intelligence Based Software for Radiology Market Forecast
- 10.4 Europe Artificial Intelligence Based Software for Radiology Forecast by Country (2023-2028)
- 10.4.1 Germany Artificial Intelligence Based Software for Radiology Market Forecast
- 10.4.2 France Artificial Intelligence Based Software for Radiology Market Forecast
- 10.4.3 UK Artificial Intelligence Based Software for Radiology Market Forecast
- 10.4.4 Italy Artificial Intelligence Based Software for Radiology Market Forecast
- 10.4.5 Russia Artificial Intelligence Based Software for Radiology Market Forecast
- 10.5 Middle East & Africa Artificial Intelligence Based Software for Radiology Forecast by Region (2023-2028)
- 10.5.1 Egypt Artificial Intelligence Based Software for Radiology Market Forecast
- 10.5.2 South Africa Artificial Intelligence Based Software for Radiology Market Forecast
- 10.5.3 Israel Artificial Intelligence Based Software for Radiology Market Forecast
- 10.5.4 Turkey Artificial Intelligence Based Software for Radiology Market Forecast
- 10.5.5 GCC Countries Artificial Intelligence Based Software for Radiology Market Forecast
- 10.6 Global Artificial Intelligence Based Software for Radiology Forecast by Type (2023-2028)
- 10.7 Global Artificial Intelligence Based Software for Radiology Forecast by Application (2023-2028)
11 Key Players Analysis
- 11.1 AI4MedImaging
- 11.1.1 AI4MedImaging Company Information
- 11.1.2 AI4MedImaging Artificial Intelligence Based Software for Radiology Product Offered
- 11.1.3 AI4MedImaging Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and Market Share (2020-2022)
- 11.1.4 AI4MedImaging Main Business Overview
- 11.1.5 AI4MedImaging Latest Developments
- 11.2 annalise.ai
- 11.2.1 annalise.ai Company Information
- 11.2.2 annalise.ai Artificial Intelligence Based Software for Radiology Product Offered
- 11.2.3 annalise.ai Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and Market Share (2020-2022)
- 11.2.4 annalise.ai Main Business Overview
- 11.2.5 annalise.ai Latest Developments
- 11.3 Visage Imaging
- 11.3.1 Visage Imaging Company Information
- 11.3.2 Visage Imaging Artificial Intelligence Based Software for Radiology Product Offered
- 11.3.3 Visage Imaging Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and Market Share (2020-2022)
- 11.3.4 Visage Imaging Main Business Overview
- 11.3.5 Visage Imaging Latest Developments
- 11.4 Cerebriu
- 11.4.1 Cerebriu Company Information
- 11.4.2 Cerebriu Artificial Intelligence Based Software for Radiology Product Offered
- 11.4.3 Cerebriu Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and Market Share (2020-2022)
- 11.4.4 Cerebriu Main Business Overview
- 11.4.5 Cerebriu Latest Developments
- 11.5 Lunit
- 11.5.1 Lunit Company Information
- 11.5.2 Lunit Artificial Intelligence Based Software for Radiology Product Offered
- 11.5.3 Lunit Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and Market Share (2020-2022)
- 11.5.4 Lunit Main Business Overview
- 11.5.5 Lunit Latest Developments
- 11.6 Smart Soft Healthcare
- 11.6.1 Smart Soft Healthcare Company Information
- 11.6.2 Smart Soft Healthcare Artificial Intelligence Based Software for Radiology Product Offered
- 11.6.3 Smart Soft Healthcare Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and Market Share (2020-2022)
- 11.6.4 Smart Soft Healthcare Main Business Overview
- 11.6.5 Smart Soft Healthcare Latest Developments
- 11.7 Radiobotics
- 11.7.1 Radiobotics Company Information
- 11.7.2 Radiobotics Artificial Intelligence Based Software for Radiology Product Offered
- 11.7.3 Radiobotics Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and Market Share (2020-2022)
- 11.7.4 Radiobotics Main Business Overview
- 11.7.5 Radiobotics Latest Developments
- 11.8 AZmed
- 11.8.1 AZmed Company Information
- 11.8.2 AZmed Artificial Intelligence Based Software for Radiology Product Offered
- 11.8.3 AZmed Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and Market Share (2020-2022)
- 11.8.4 AZmed Main Business Overview
- 11.8.5 AZmed Latest Developments
- 11.9 Vara
- 11.9.1 Vara Company Information
- 11.9.2 Vara Artificial Intelligence Based Software for Radiology Product Offered
- 11.9.3 Vara Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and Market Share (2020-2022)
- 11.9.4 Vara Main Business Overview
- 11.9.5 Vara Latest Developments
- 11.10 Deep01
- 11.10.1 Deep01 Company Information
- 11.10.2 Deep01 Artificial Intelligence Based Software for Radiology Product Offered
- 11.10.3 Deep01 Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and Market Share (2020-2022)
- 11.10.4 Deep01 Main Business Overview
- 11.10.5 Deep01 Latest Developments
- 11.11 Combinostics
- 11.11.1 Combinostics Company Information
- 11.11.2 Combinostics Artificial Intelligence Based Software for Radiology Product Offered
- 11.11.3 Combinostics Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and Market Share (2020-2022)
- 11.11.4 Combinostics Main Business Overview
- 11.11.5 Combinostics Latest Developments
- 11.12 iCAD
- 11.12.1 iCAD Company Information
- 11.12.2 iCAD Artificial Intelligence Based Software for Radiology Product Offered
- 11.12.3 iCAD Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and Market Share (2020-2022)
- 11.12.4 iCAD Main Business Overview
- 11.12.5 iCAD Latest Developments
- 11.13 contextflow
- 11.13.1 contextflow Company Information
- 11.13.2 contextflow Artificial Intelligence Based Software for Radiology Product Offered
- 11.13.3 contextflow Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and Market Share (2020-2022)
- 11.13.4 contextflow Main Business Overview
- 11.13.5 contextflow Latest Developments
- 11.14 Riverain Technologies
- 11.14.1 Riverain Technologies Company Information
- 11.14.2 Riverain Technologies Artificial Intelligence Based Software for Radiology Product Offered
- 11.14.3 Riverain Technologies Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and Market Share (2020-2022)
- 11.14.4 Riverain Technologies Main Business Overview
- 11.14.5 Riverain Technologies Latest Developments
- 11.15 Siemens Healthineers
- 11.15.1 Siemens Healthineers Company Information
- 11.15.2 Siemens Healthineers Artificial Intelligence Based Software for Radiology Product Offered
- 11.15.3 Siemens Healthineers Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and Market Share (2020-2022)
- 11.15.4 Siemens Healthineers Main Business Overview
- 11.15.5 Siemens Healthineers Latest Developments
12 Research Findings and Conclusion
Summary:
Get latest Market Research Reports on Artificial Intelligence Based Software for Radiology. Industry analysis & Market Report on Artificial Intelligence Based Software for Radiology is a syndicated market report, published as Global Artificial Intelligence Based Software for Radiology Market Growth (Status and Outlook) 2022-2028. It is complete Research Study and Industry Analysis of Artificial Intelligence Based Software for Radiology market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.
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