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Artificial Intelligence Based Software for Radiology Industry Research Report 2026
Market perspective
The global Artificial Intelligence Based Software for Radiology market was valued at US$ million in 2025 and is projected to reach US$ million by 2032, implying a CAGR of % over 2026–2032.
North America: the Artificial Intelligence Based Software for Radiology market is projected to increase from US$ million in 2026 to US$ million by 2032, reflecting a CAGR of % over 2026–2032. Europe: the Artificial Intelligence Based Software for Radiology market is projected to rise from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026–2032. Asia Pacific: the Artificial Intelligence Based Software for Radiology market is expected to grow from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026–2032. Leading global service providers of Artificial Intelligence Based Software for Radiology include AI4MedImaging, annalise.ai, Visage Imaging, Cerebriu, Lunit, Smart Soft Healthcare, Radiobotics, AZmed and Vara, among others; in 2025, the top three vendors together accounted for approximately % of global revenue.
Report Scope
Read the full market overview
This report quantifies the global Artificial Intelligence Based Software for Radiology market in terms of revenue (US$ million) and, where applicable, service volume (k units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/k units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to Artificial Intelligence Based Software for Radiology.
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
Artificial Intelligence Based Software for Radiology Market by Company
AI4MedImaging
annalise.ai
Visage Imaging
Cerebriu
Lunit
Smart Soft Healthcare
Radiobotics
AZmed
Vara
Deep01
Combinostics
iCAD
contextflow
Riverain Technologies
Siemens Healthineers
Artificial Intelligence Based Software for Radiology Segment by Type
X-ray
Ultrasound
Others
Artificial Intelligence Based Software for Radiology Segment by Application
Cardiac
Breast
Chest
Neuro
Others
Artificial Intelligence Based Software for Radiology Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Artificial Intelligence Based Software for Radiology market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Artificial Intelligence Based Software for Radiology and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market
5. This report helps stakeholders to gain insights into which regions to target globally
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Artificial Intelligence Based Software for Radiology.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 3: Provides the analysis of various market segments product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments 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 5: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 6: Detailed analysis of Artificial Intelligence Based Software for Radiology companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South America, Middle East and Africa segment by country. 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, and capacity of each country in the world.
Chapter 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- X-ray
- Ultrasound
- Others
Applications
- Cardiac
- Breast
- Chest
- Neuro
- Others
Companies covered
- AI4MedImaging
- annalise.ai
- Visage Imaging
- Cerebriu
- Lunit
- Smart Soft Healthcare
- Radiobotics
- AZmed
- Vara
- Deep01
- Combinostics
- iCAD
- contextflow
- Riverain Technologies
- Siemens Healthineers
Inside the report.
1 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 Artificial Intelligence Based Software for Radiology by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 X-ray
- 2.2.3 Ultrasound
- 2.2.4 Others
- 2.3 Artificial Intelligence Based Software for Radiology by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Cardiac
- 2.3.3 Breast
- 2.3.4 Chest
- 2.3.5 Neuro
- 2.3.6 Others
- 2.4 Assumptions and Limitations
3 Artificial Intelligence Based Software for Radiology Breakdown Data by Type
- 3.1 Global Artificial Intelligence Based Software for Radiology Historic Market Size by Type (2021-2026)
- 3.2 Global Artificial Intelligence Based Software for Radiology Forecasted Market Size by Type (2027-2032)
4 Artificial Intelligence Based Software for Radiology Breakdown Data by Application
- 4.1 Global Artificial Intelligence Based Software for Radiology Historic Market Size by Application (2021-2026)
- 4.2 Global Artificial Intelligence Based Software for Radiology Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global Artificial Intelligence Based Software for Radiology Market Perspective (2021-2032)
- 5.2 Global Artificial Intelligence Based Software for Radiology Growth Trends by Region
- 5.2.1 Global Artificial Intelligence Based Software for Radiology Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 Artificial Intelligence Based Software for Radiology Historic Market Size by Region (2021-2026)
- 5.2.3 Artificial Intelligence Based Software for Radiology Forecasted Market Size by Region (2027-2032)
- 5.3 Artificial Intelligence Based Software for Radiology Market Dynamics
- 5.3.1 Artificial Intelligence Based Software for Radiology Industry Trends
- 5.3.2 Artificial Intelligence Based Software for Radiology Market Drivers
- 5.3.3 Artificial Intelligence Based Software for Radiology Market Challenges
- 5.3.4 Artificial Intelligence Based Software for Radiology Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top Artificial Intelligence Based Software for Radiology Players by Revenue
- 6.1.1 Global Top Artificial Intelligence Based Software for Radiology Players by Revenue (2021-2026)
- 6.1.2 Global Artificial Intelligence Based Software for Radiology Revenue Market Share by Players (2021-2026)
- 6.2 Global Artificial Intelligence Based Software for Radiology Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of Artificial Intelligence Based Software for Radiology Head Office and Area Served
- 6.4 Global Artificial Intelligence Based Software for Radiology Players, Product Type & Application
- 6.5 Global Artificial Intelligence Based Software for Radiology Manufacturers Established Date
- 6.6 Global Artificial Intelligence Based Software for Radiology Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America Artificial Intelligence Based Software for Radiology Market Size (2021-2032)
- 7.2 North America Artificial Intelligence Based Software for Radiology Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America Artificial Intelligence Based Software for Radiology Market Size by Country (2021-2026)
- 7.4 North America Artificial Intelligence Based Software for Radiology Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe Artificial Intelligence Based Software for Radiology Market Size (2021-2032)
- 8.2 Europe Artificial Intelligence Based Software for Radiology Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe Artificial Intelligence Based Software for Radiology Market Size by Country (2021-2026)
- 8.4 Europe Artificial Intelligence Based Software for Radiology Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific Artificial Intelligence Based Software for Radiology Market Size (2021-2032)
- 9.2 Asia-Pacific Artificial Intelligence Based Software for Radiology Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific Artificial Intelligence Based Software for Radiology Market Size by Country (2021-2026)
- 9.4 Asia-Pacific Artificial Intelligence Based Software for Radiology Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America Artificial Intelligence Based Software for Radiology Market Size (2021-2032)
- 10.2 South America Artificial Intelligence Based Software for Radiology Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America Artificial Intelligence Based Software for Radiology Market Size by Country (2021-2026)
- 10.4 South America Artificial Intelligence Based Software for Radiology Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa Artificial Intelligence Based Software for Radiology Market Size (2021-2032)
- 11.2 Middle East & Africa Artificial Intelligence Based Software for Radiology Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa Artificial Intelligence Based Software for Radiology Market Size by Country (2021-2026)
- 11.4 Middle East & Africa Artificial Intelligence Based Software for Radiology Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 AI4MedImaging
- 12.1.1 AI4MedImaging Company Information
- 12.1.2 AI4MedImaging Business Overview
- 12.1.3 AI4MedImaging Revenue in Artificial Intelligence Based Software for Radiology Business (2021-2026)
- 12.1.4 AI4MedImaging Artificial Intelligence Based Software for Radiology Product Portfolio
- 12.1.5 AI4MedImaging Recent Developments
- 12.2 annalise.ai
- 12.2.1 annalise.ai Company Information
- 12.2.2 annalise.ai Business Overview
- 12.2.3 annalise.ai Revenue in Artificial Intelligence Based Software for Radiology Business (2021-2026)
- 12.2.4 annalise.ai Artificial Intelligence Based Software for Radiology Product Portfolio
- 12.2.5 annalise.ai Recent Developments
- 12.3 Visage Imaging
- 12.3.1 Visage Imaging Company Information
- 12.3.2 Visage Imaging Business Overview
- 12.3.3 Visage Imaging Revenue in Artificial Intelligence Based Software for Radiology Business (2021-2026)
- 12.3.4 Visage Imaging Artificial Intelligence Based Software for Radiology Product Portfolio
- 12.3.5 Visage Imaging Recent Developments
- 12.4 Cerebriu
- 12.4.1 Cerebriu Company Information
- 12.4.2 Cerebriu Business Overview
- 12.4.3 Cerebriu Revenue in Artificial Intelligence Based Software for Radiology Business (2021-2026)
- 12.4.4 Cerebriu Artificial Intelligence Based Software for Radiology Product Portfolio
- 12.4.5 Cerebriu Recent Developments
- 12.5 Lunit
- 12.5.1 Lunit Company Information
- 12.5.2 Lunit Business Overview
- 12.5.3 Lunit Revenue in Artificial Intelligence Based Software for Radiology Business (2021-2026)
- 12.5.4 Lunit Artificial Intelligence Based Software for Radiology Product Portfolio
- 12.5.5 Lunit Recent Developments
- 12.6 Smart Soft Healthcare
- 12.6.1 Smart Soft Healthcare Company Information
- 12.6.2 Smart Soft Healthcare Business Overview
- 12.6.3 Smart Soft Healthcare Revenue in Artificial Intelligence Based Software for Radiology Business (2021-2026)
- 12.6.4 Smart Soft Healthcare Artificial Intelligence Based Software for Radiology Product Portfolio
- 12.6.5 Smart Soft Healthcare Recent Developments
- 12.7 Radiobotics
- 12.7.1 Radiobotics Company Information
- 12.7.2 Radiobotics Business Overview
- 12.7.3 Radiobotics Revenue in Artificial Intelligence Based Software for Radiology Business (2021-2026)
- 12.7.4 Radiobotics Artificial Intelligence Based Software for Radiology Product Portfolio
- 12.7.5 Radiobotics Recent Developments
- 12.8 AZmed
- 12.8.1 AZmed Company Information
- 12.8.2 AZmed Business Overview
- 12.8.3 AZmed Revenue in Artificial Intelligence Based Software for Radiology Business (2021-2026)
- 12.8.4 AZmed Artificial Intelligence Based Software for Radiology Product Portfolio
- 12.8.5 AZmed Recent Developments
- 12.9 Vara
- 12.9.1 Vara Company Information
- 12.9.2 Vara Business Overview
- 12.9.3 Vara Revenue in Artificial Intelligence Based Software for Radiology Business (2021-2026)
- 12.9.4 Vara Artificial Intelligence Based Software for Radiology Product Portfolio
- 12.9.5 Vara Recent Developments
- 12.10 Deep01
- 12.10.1 Deep01 Company Information
- 12.10.2 Deep01 Business Overview
- 12.10.3 Deep01 Revenue in Artificial Intelligence Based Software for Radiology Business (2021-2026)
- 12.10.4 Deep01 Artificial Intelligence Based Software for Radiology Product Portfolio
- 12.10.5 Deep01 Recent Developments
- 12.11 Combinostics
- 12.11.1 Combinostics Company Information
- 12.11.2 Combinostics Business Overview
- 12.11.3 Combinostics Revenue in Artificial Intelligence Based Software for Radiology Business (2021-2026)
- 12.11.4 Combinostics Artificial Intelligence Based Software for Radiology Product Portfolio
- 12.11.5 Combinostics Recent Developments
- 12.12 iCAD
- 12.12.1 iCAD Company Information
- 12.12.2 iCAD Business Overview
- 12.12.3 iCAD Revenue in Artificial Intelligence Based Software for Radiology Business (2021-2026)
- 12.12.4 iCAD Artificial Intelligence Based Software for Radiology Product Portfolio
- 12.12.5 iCAD Recent Developments
- 12.13 contextflow
- 12.13.1 contextflow Company Information
- 12.13.2 contextflow Business Overview
- 12.13.3 contextflow Revenue in Artificial Intelligence Based Software for Radiology Business (2021-2026)
- 12.13.4 contextflow Artificial Intelligence Based Software for Radiology Product Portfolio
- 12.13.5 contextflow Recent Developments
- 12.14 Riverain Technologies
- 12.14.1 Riverain Technologies Company Information
- 12.14.2 Riverain Technologies Business Overview
- 12.14.3 Riverain Technologies Revenue in Artificial Intelligence Based Software for Radiology Business (2021-2026)
- 12.14.4 Riverain Technologies Artificial Intelligence Based Software for Radiology Product Portfolio
- 12.14.5 Riverain Technologies Recent Developments
- 12.15 Siemens Healthineers
- 12.15.1 Siemens Healthineers Company Information
- 12.15.2 Siemens Healthineers Business Overview
- 12.15.3 Siemens Healthineers Revenue in Artificial Intelligence Based Software for Radiology Business (2021-2026)
- 12.15.4 Siemens Healthineers Artificial Intelligence Based Software for Radiology Product Portfolio
- 12.15.5 Siemens Healthineers Recent Developments
13 Report Conclusion
14 Disclaimer
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