Selected research
Industry Growth & Trends
Global Artificial Intelligence Based Software for Radiology Industry Growth and Trends Forecast to 2032
Market perspective
According to APO Research, the global Artificial Intelligence Based Software for Radiology market was valued at US$ million in 2026 and is projected to reach US$ million by 2032, implying a CAGR of xx% over 2026-2032.
The North America market for Artificial Intelligence Based Software for Radiology is projected to increase from US$ million in 2026 to US$ million by 2032, corresponding to a CAGR of % over 2026-2032.
The Europe market for Artificial Intelligence Based Software for Radiology is projected to increase from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026-2032.
Read the full market overview
The Asia Pacific market for Artificial Intelligence Based Software for Radiology is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
Leading global companies in the Artificial Intelligence Based Software for Radiology market 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
This report provides a structured, data-driven view of the global Artificial Intelligence Based Software for Radiology market, combining harmonized quantitative metrics with targeted qualitative insight to support business and growth strategy, market positioning, and capital allocation.
The Artificial Intelligence Based Software for Radiology market size, estimates, and forecasts are presented in terms of revenue (US$ million), with 2025 as the base year and historical and forecast data for 2021-2032. The report segments the global Artificial Intelligence Based Software for Radiology market by Type, Application, region/country, and company, provides regional market sizes at the segment level, profiles the competitive landscape and key players and their market ranks, and reviews technology trends and new product developments relevant to Artificial Intelligence Based Software for Radiology.
Key Companies & Market Share Insights
This section analyzes the strategies and performance of leading companies in the global Artificial Intelligence Based Software for Radiology market, including portfolio focus, innovation and product development, mergers and acquisitions, collaborations, and geographic expansion used to sustain or enhance competitive positions. It also summarizes recent corporate developments and key financial indicators and provides global revenue and gross margin data by manufacturer for 2021-2026, enabling benchmarking of scale, profitability, and market share and supporting assessment of market concentration through indicators such as CR5 and CR10.
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
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
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 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: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2021-2025, 2026-2031). 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 2: 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 3: 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 4: 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 5: Detailed analysis of Artificial Intelligence Based Software for Radiology companies' competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 6: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter 7, 8, 9, 10 and 11: North America, Europe, Asia Pacific, South America, Middle East & Africa, revenue by country.
Chapter 12: Concluding Insights 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 Market Overview
- 1.1 Product Definition
- 1.2 Global Market Growth Prospects
- 1.3 Global Artificial Intelligence Based Software for Radiology Market Size Overview by Region 2021 VS 2025 VS 2032
- 1.4 Global Artificial Intelligence Based Software for Radiology Market Size by Region (2021-2032)
- 1.4.1 Global Artificial Intelligence Based Software for Radiology Market Size by Region (2021-2026)
- 1.4.2 Global Artificial Intelligence Based Software for Radiology Market Size by Region (2027-2032)
- 1.5 Key Regions Artificial Intelligence Based Software for Radiology Market Size (2021-2032)
- 1.5.1 North America Artificial Intelligence Based Software for Radiology Market Size Growth Rate (2021-2032)
- 1.5.2 Europe Artificial Intelligence Based Software for Radiology Market Size Growth Rate (2021-2032)
- 1.5.3 Asia-Pacific Artificial Intelligence Based Software for Radiology Market Size Growth Rate (2021-2032)
- 1.5.4 South America Artificial Intelligence Based Software for Radiology Market Size Growth Rate (2021-2032)
- 1.5.5 Middle East & Africa Artificial Intelligence Based Software for Radiology Market Size Growth Rate (2021-2032)
2 Artificial Intelligence Based Software for Radiology Market by Type
- 2.1 Type Introduction
- 2.1.1 X-ray
- 2.1.2 Ultrasound
- 2.1.3 Others
- 2.2 Global Artificial Intelligence Based Software for Radiology Market Size by Type
- 2.2.1 Global Artificial Intelligence Based Software for Radiology Market Size Overview by Type (2021-2032)
- 2.2.2 Global Artificial Intelligence Based Software for Radiology Historic Market Size Review by Type (2021-2026)
- 2.2.3 Global Artificial Intelligence Based Software for Radiology Market Size Forecasted by Type (2027-2032)
- 2.3 Global Artificial Intelligence Based Software for Radiology Market Size by Regions
- 2.3.1 North America Artificial Intelligence Based Software for Radiology Market Size Breakdown by Type (2021-2026)
- 2.3.2 Europe Artificial Intelligence Based Software for Radiology Market Size Breakdown by Type (2021-2026)
- 2.3.3 Asia-Pacific Artificial Intelligence Based Software for Radiology Market Size Breakdown by Type (2021-2026)
- 2.3.4 South America Artificial Intelligence Based Software for Radiology Market Size Breakdown by Type (2021-2026)
- 2.3.5 Middle East and Africa Artificial Intelligence Based Software for Radiology Market Size Breakdown by Type (2021-2026)
3 Artificial Intelligence Based Software for Radiology Market by Application
- 3.1 Type Introduction
- 3.1.1 Cardiac
- 3.1.2 Breast
- 3.1.3 Chest
- 3.1.4 Neuro
- 3.1.5 Others
- 3.2 Global Artificial Intelligence Based Software for Radiology Market Size by Application
- 3.2.1 Global Artificial Intelligence Based Software for Radiology Market Size Overview by Application (2021-2032)
- 3.2.2 Global Artificial Intelligence Based Software for Radiology Historic Market Size Review by Application (2021-2026)
- 3.2.3 Global Artificial Intelligence Based Software for Radiology Market Size Forecasted by Application (2027-2032)
- 3.3 Global Artificial Intelligence Based Software for Radiology Market Size by Regions
- 3.3.1 North America Artificial Intelligence Based Software for Radiology Market Size Breakdown by Application (2021-2026)
- 3.3.2 Europe Artificial Intelligence Based Software for Radiology Market Size Breakdown by Application (2021-2026)
- 3.3.3 Asia-Pacific Artificial Intelligence Based Software for Radiology Market Size Breakdown by Application (2021-2026)
- 3.3.4 South America Artificial Intelligence Based Software for Radiology Market Size Breakdown by Application (2021-2026)
- 3.3.5 Middle East and Africa Artificial Intelligence Based Software for Radiology Market Size Breakdown by Application (2021-2026)
4 Global Market Dynamics
- 4.1 Artificial Intelligence Based Software for Radiology Industry Trends
- 4.2 Artificial Intelligence Based Software for Radiology Industry Drivers
- 4.3 Artificial Intelligence Based Software for Radiology Industry Opportunities and Challenges
- 4.4 Artificial Intelligence Based Software for Radiology Industry Restraints
5 Competitive Insights by Company
- 5.1 Global Top Players by Artificial Intelligence Based Software for Radiology Revenue (2021-2026)
- 5.2 Global Artificial Intelligence Based Software for Radiology Industry Company Ranking, 2024 VS 2025 VS 2026
- 5.3 Global Artificial Intelligence Based Software for Radiology Key Company Headquarters & Area Served
- 5.4 Global Artificial Intelligence Based Software for Radiology Company, Product Type & Application
- 5.5 Global Artificial Intelligence Based Software for Radiology Company Commercialization Time
- 5.6 Market Competitive Analysis
- 5.6.1 Global Artificial Intelligence Based Software for Radiology Market CR5 and HHI
- 5.6.2 Global Top 5 and 10 Artificial Intelligence Based Software for Radiology Players Market Share by Revenue in 2025
- 5.6.3 2025 Artificial Intelligence Based Software for Radiology Tier 1, Tier 2, and Tier 3
6 Company Profiles
- 6.1 AI4MedImaging
- 6.1.1 AI4MedImaging Company Information
- 6.1.2 AI4MedImaging Business Overview
- 6.1.3 AI4MedImaging Artificial Intelligence Based Software for Radiology Revenue, Global Share and Gross Margin (2021-2026)
- 6.1.4 AI4MedImaging Artificial Intelligence Based Software for Radiology Product Portfolio
- 6.1.5 AI4MedImaging Recent Developments
- 6.2 annalise.ai
- 6.2.1 annalise.ai Company Information
- 6.2.2 annalise.ai Business Overview
- 6.2.3 annalise.ai Artificial Intelligence Based Software for Radiology Revenue, Global Share and Gross Margin (2021-2026)
- 6.2.4 annalise.ai Artificial Intelligence Based Software for Radiology Product Portfolio
- 6.2.5 annalise.ai Recent Developments
- 6.3 Visage Imaging
- 6.3.1 Visage Imaging Company Information
- 6.3.2 Visage Imaging Business Overview
- 6.3.3 Visage Imaging Artificial Intelligence Based Software for Radiology Revenue, Global Share and Gross Margin (2021-2026)
- 6.3.4 Visage Imaging Artificial Intelligence Based Software for Radiology Product Portfolio
- 6.3.5 Visage Imaging Recent Developments
- 6.4 Cerebriu
- 6.4.1 Cerebriu Company Information
- 6.4.2 Cerebriu Business Overview
- 6.4.3 Cerebriu Artificial Intelligence Based Software for Radiology Revenue, Global Share and Gross Margin (2021-2026)
- 6.4.4 Cerebriu Artificial Intelligence Based Software for Radiology Product Portfolio
- 6.4.5 Cerebriu Recent Developments
- 6.5 Lunit
- 6.5.1 Lunit Company Information
- 6.5.2 Lunit Business Overview
- 6.5.3 Lunit Artificial Intelligence Based Software for Radiology Revenue, Global Share and Gross Margin (2021-2026)
- 6.5.4 Lunit Artificial Intelligence Based Software for Radiology Product Portfolio
- 6.5.5 Lunit Recent Developments
- 6.6 Smart Soft Healthcare
- 6.6.1 Smart Soft Healthcare Company Information
- 6.6.2 Smart Soft Healthcare Business Overview
- 6.6.3 Smart Soft Healthcare Artificial Intelligence Based Software for Radiology Revenue, Global Share and Gross Margin (2021-2026)
- 6.6.4 Smart Soft Healthcare Artificial Intelligence Based Software for Radiology Product Portfolio
- 6.6.5 Smart Soft Healthcare Recent Developments
- 6.7 Radiobotics
- 6.7.1 Radiobotics Company Information
- 6.7.2 Radiobotics Business Overview
- 6.7.3 Radiobotics Artificial Intelligence Based Software for Radiology Revenue, Global Share and Gross Margin (2021-2026)
- 6.7.4 Radiobotics Artificial Intelligence Based Software for Radiology Product Portfolio
- 6.7.5 Radiobotics Recent Developments
- 6.8 AZmed
- 6.8.1 AZmed Company Information
- 6.8.2 AZmed Business Overview
- 6.8.3 AZmed Artificial Intelligence Based Software for Radiology Revenue, Global Share and Gross Margin (2021-2026)
- 6.8.4 AZmed Artificial Intelligence Based Software for Radiology Product Portfolio
- 6.8.5 AZmed Recent Developments
- 6.9 Vara
- 6.9.1 Vara Company Information
- 6.9.2 Vara Business Overview
- 6.9.3 Vara Artificial Intelligence Based Software for Radiology Revenue, Global Share and Gross Margin (2021-2026)
- 6.9.4 Vara Artificial Intelligence Based Software for Radiology Product Portfolio
- 6.9.5 Vara Recent Developments
- 6.10 Deep01
- 6.10.1 Deep01 Company Information
- 6.10.2 Deep01 Business Overview
- 6.10.3 Deep01 Artificial Intelligence Based Software for Radiology Revenue, Global Share and Gross Margin (2021-2026)
- 6.10.4 Deep01 Artificial Intelligence Based Software for Radiology Product Portfolio
- 6.10.5 Deep01 Recent Developments
- 6.11 Combinostics
- 6.11.1 Combinostics Company Information
- 6.11.2 Combinostics Business Overview
- 6.11.3 Combinostics Artificial Intelligence Based Software for Radiology Revenue, Global Share and Gross Margin (2021-2026)
- 6.11.4 Combinostics Artificial Intelligence Based Software for Radiology Product Portfolio
- 6.11.5 Combinostics Recent Developments
- 6.12 iCAD
- 6.12.1 iCAD Company Information
- 6.12.2 iCAD Business Overview
- 6.12.3 iCAD Artificial Intelligence Based Software for Radiology Revenue, Global Share and Gross Margin (2021-2026)
- 6.12.4 iCAD Artificial Intelligence Based Software for Radiology Product Portfolio
- 6.12.5 iCAD Recent Developments
- 6.13 contextflow
- 6.13.1 contextflow Company Information
- 6.13.2 contextflow Business Overview
- 6.13.3 contextflow Artificial Intelligence Based Software for Radiology Revenue, Global Share and Gross Margin (2021-2026)
- 6.13.4 contextflow Artificial Intelligence Based Software for Radiology Product Portfolio
- 6.13.5 contextflow Recent Developments
- 6.14 Riverain Technologies
- 6.14.1 Riverain Technologies Company Information
- 6.14.2 Riverain Technologies Business Overview
- 6.14.3 Riverain Technologies Artificial Intelligence Based Software for Radiology Revenue, Global Share and Gross Margin (2021-2026)
- 6.14.4 Riverain Technologies Artificial Intelligence Based Software for Radiology Product Portfolio
- 6.14.5 Riverain Technologies Recent Developments
- 6.15 Siemens Healthineers
- 6.15.1 Siemens Healthineers Company Information
- 6.15.2 Siemens Healthineers Business Overview
- 6.15.3 Siemens Healthineers Artificial Intelligence Based Software for Radiology Revenue, Global Share and Gross Margin (2021-2026)
- 6.15.4 Siemens Healthineers Artificial Intelligence Based Software for Radiology Product Portfolio
- 6.15.5 Siemens Healthineers Recent Developments
7 North America
- 7.1 North America Artificial Intelligence Based Software for Radiology Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 7.2 North America Artificial Intelligence Based Software for Radiology Market Size by Country (2021-2026)
- 7.3 North America Artificial Intelligence Based Software for Radiology Market Size Forecast by Country (2027-2032)
8 Europe
- 8.1 Europe Artificial Intelligence Based Software for Radiology Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 8.2 Europe Artificial Intelligence Based Software for Radiology Market Size by Country (2021-2026)
- 8.3 Europe Artificial Intelligence Based Software for Radiology Market Size Forecast by Country (2027-2032)
9 Asia-Pacific
- 9.1 Asia-Pacific Artificial Intelligence Based Software for Radiology Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 9.2 Asia-Pacific Artificial Intelligence Based Software for Radiology Market Size by Country (2021-2026)
- 9.3 Asia-Pacific Artificial Intelligence Based Software for Radiology Market Size Forecast by Country (2027-2032)
10 South America
- 10.1 South America Artificial Intelligence Based Software for Radiology Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 10.2 South America Artificial Intelligence Based Software for Radiology Market Size by Country (2021-2026)
- 10.3 South America Artificial Intelligence Based Software for Radiology Market Size Forecast by Country (2027-2032)
11 Middle East & Africa
- 11.1 Middle East & Africa Artificial Intelligence Based Software for Radiology Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 11.2 Middle East & Africa Artificial Intelligence Based Software for Radiology Market Size by Country (2021-2026)
- 11.3 Middle East & Africa Artificial Intelligence Based Software for Radiology Market Size Forecast by Country (2027-2032)
12 Concluding Insights
13 Appendix
- 13.1 Reasons for Doing This Study
- 13.2 Research Methodology
- 13.3 Research Process
- 13.4 Authors List of This Report
- 13.5 Data Source
- 13.5.1 Secondary Sources
- 13.5.2 Primary Sources
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