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Artificial Intelligence in Medical Software Industry Research Report 2026
Market perspective
The global Artificial Intelligence in Medical Software 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 in Medical Software 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 in Medical Software 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 in Medical Software 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 in Medical Software include 2bPrecise, CliniSys, Fabric Genomics, Flatiron Health, Foundation Medicine, Gene42, Human Longevity, IBM and Koninklijke Philips, 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 in Medical Software 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 in Medical Software.
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 in Medical Software Market by Company
2bPrecise
CliniSys
Fabric Genomics
Flatiron Health
Foundation Medicine
Gene42
Human Longevity
IBM
Koninklijke Philips
LifeOmic Health
Pierian
SOPHiA GENETICS
Syapse
Tempus
Translational Software
Artificial Intelligence in Medical Software Segment by Type
Image Recognition
Natural Language Processing
Others
Artificial Intelligence in Medical Software Segment by Application
Drug Discovery
Precision Medicine
Others
Artificial Intelligence in Medical Software 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 in Medical Software 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 in Medical Software 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 in Medical Software.
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 in Medical Software 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
- Image Recognition
- Natural Language Processing
- Others
Applications
- Drug Discovery
- Precision Medicine
- Others
Companies covered
- 2bPrecise
- CliniSys
- Fabric Genomics
- Flatiron Health
- Foundation Medicine
- Gene42
- Human Longevity
- IBM
- Koninklijke Philips
- LifeOmic Health
- Pierian
- SOPHiA GENETICS
- Syapse
- Tempus
- Translational Software
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 in Medical Software by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Image Recognition
- 2.2.3 Natural Language Processing
- 2.2.4 Others
- 2.3 Artificial Intelligence in Medical Software by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Drug Discovery
- 2.3.3 Precision Medicine
- 2.3.4 Others
- 2.4 Assumptions and Limitations
3 Artificial Intelligence in Medical Software Breakdown Data by Type
- 3.1 Global Artificial Intelligence in Medical Software Historic Market Size by Type (2021-2026)
- 3.2 Global Artificial Intelligence in Medical Software Forecasted Market Size by Type (2027-2032)
4 Artificial Intelligence in Medical Software Breakdown Data by Application
- 4.1 Global Artificial Intelligence in Medical Software Historic Market Size by Application (2021-2026)
- 4.2 Global Artificial Intelligence in Medical Software Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global Artificial Intelligence in Medical Software Market Perspective (2021-2032)
- 5.2 Global Artificial Intelligence in Medical Software Growth Trends by Region
- 5.2.1 Global Artificial Intelligence in Medical Software Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 Artificial Intelligence in Medical Software Historic Market Size by Region (2021-2026)
- 5.2.3 Artificial Intelligence in Medical Software Forecasted Market Size by Region (2027-2032)
- 5.3 Artificial Intelligence in Medical Software Market Dynamics
- 5.3.1 Artificial Intelligence in Medical Software Industry Trends
- 5.3.2 Artificial Intelligence in Medical Software Market Drivers
- 5.3.3 Artificial Intelligence in Medical Software Market Challenges
- 5.3.4 Artificial Intelligence in Medical Software Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top Artificial Intelligence in Medical Software Players by Revenue
- 6.1.1 Global Top Artificial Intelligence in Medical Software Players by Revenue (2021-2026)
- 6.1.2 Global Artificial Intelligence in Medical Software Revenue Market Share by Players (2021-2026)
- 6.2 Global Artificial Intelligence in Medical Software Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of Artificial Intelligence in Medical Software Head Office and Area Served
- 6.4 Global Artificial Intelligence in Medical Software Players, Product Type & Application
- 6.5 Global Artificial Intelligence in Medical Software Manufacturers Established Date
- 6.6 Global Artificial Intelligence in Medical Software Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America Artificial Intelligence in Medical Software Market Size (2021-2032)
- 7.2 North America Artificial Intelligence in Medical Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America Artificial Intelligence in Medical Software Market Size by Country (2021-2026)
- 7.4 North America Artificial Intelligence in Medical Software 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 in Medical Software Market Size (2021-2032)
- 8.2 Europe Artificial Intelligence in Medical Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe Artificial Intelligence in Medical Software Market Size by Country (2021-2026)
- 8.4 Europe Artificial Intelligence in Medical Software 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 in Medical Software Market Size (2021-2032)
- 9.2 Asia-Pacific Artificial Intelligence in Medical Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific Artificial Intelligence in Medical Software Market Size by Country (2021-2026)
- 9.4 Asia-Pacific Artificial Intelligence in Medical Software 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 in Medical Software Market Size (2021-2032)
- 10.2 South America Artificial Intelligence in Medical Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America Artificial Intelligence in Medical Software Market Size by Country (2021-2026)
- 10.4 South America Artificial Intelligence in Medical Software 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 in Medical Software Market Size (2021-2032)
- 11.2 Middle East & Africa Artificial Intelligence in Medical Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa Artificial Intelligence in Medical Software Market Size by Country (2021-2026)
- 11.4 Middle East & Africa Artificial Intelligence in Medical Software 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 2bPrecise
- 12.1.1 2bPrecise Company Information
- 12.1.2 2bPrecise Business Overview
- 12.1.3 2bPrecise Revenue in Artificial Intelligence in Medical Software Business (2021-2026)
- 12.1.4 2bPrecise Artificial Intelligence in Medical Software Product Portfolio
- 12.1.5 2bPrecise Recent Developments
- 12.2 CliniSys
- 12.2.1 CliniSys Company Information
- 12.2.2 CliniSys Business Overview
- 12.2.3 CliniSys Revenue in Artificial Intelligence in Medical Software Business (2021-2026)
- 12.2.4 CliniSys Artificial Intelligence in Medical Software Product Portfolio
- 12.2.5 CliniSys Recent Developments
- 12.3 Fabric Genomics
- 12.3.1 Fabric Genomics Company Information
- 12.3.2 Fabric Genomics Business Overview
- 12.3.3 Fabric Genomics Revenue in Artificial Intelligence in Medical Software Business (2021-2026)
- 12.3.4 Fabric Genomics Artificial Intelligence in Medical Software Product Portfolio
- 12.3.5 Fabric Genomics Recent Developments
- 12.4 Flatiron Health
- 12.4.1 Flatiron Health Company Information
- 12.4.2 Flatiron Health Business Overview
- 12.4.3 Flatiron Health Revenue in Artificial Intelligence in Medical Software Business (2021-2026)
- 12.4.4 Flatiron Health Artificial Intelligence in Medical Software Product Portfolio
- 12.4.5 Flatiron Health Recent Developments
- 12.5 Foundation Medicine
- 12.5.1 Foundation Medicine Company Information
- 12.5.2 Foundation Medicine Business Overview
- 12.5.3 Foundation Medicine Revenue in Artificial Intelligence in Medical Software Business (2021-2026)
- 12.5.4 Foundation Medicine Artificial Intelligence in Medical Software Product Portfolio
- 12.5.5 Foundation Medicine Recent Developments
- 12.6 Gene42
- 12.6.1 Gene42 Company Information
- 12.6.2 Gene42 Business Overview
- 12.6.3 Gene42 Revenue in Artificial Intelligence in Medical Software Business (2021-2026)
- 12.6.4 Gene42 Artificial Intelligence in Medical Software Product Portfolio
- 12.6.5 Gene42 Recent Developments
- 12.7 Human Longevity
- 12.7.1 Human Longevity Company Information
- 12.7.2 Human Longevity Business Overview
- 12.7.3 Human Longevity Revenue in Artificial Intelligence in Medical Software Business (2021-2026)
- 12.7.4 Human Longevity Artificial Intelligence in Medical Software Product Portfolio
- 12.7.5 Human Longevity Recent Developments
- 12.8 IBM
- 12.8.1 IBM Company Information
- 12.8.2 IBM Business Overview
- 12.8.3 IBM Revenue in Artificial Intelligence in Medical Software Business (2021-2026)
- 12.8.4 IBM Artificial Intelligence in Medical Software Product Portfolio
- 12.8.5 IBM Recent Developments
- 12.9 Koninklijke Philips
- 12.9.1 Koninklijke Philips Company Information
- 12.9.2 Koninklijke Philips Business Overview
- 12.9.3 Koninklijke Philips Revenue in Artificial Intelligence in Medical Software Business (2021-2026)
- 12.9.4 Koninklijke Philips Artificial Intelligence in Medical Software Product Portfolio
- 12.9.5 Koninklijke Philips Recent Developments
- 12.10 LifeOmic Health
- 12.10.1 LifeOmic Health Company Information
- 12.10.2 LifeOmic Health Business Overview
- 12.10.3 LifeOmic Health Revenue in Artificial Intelligence in Medical Software Business (2021-2026)
- 12.10.4 LifeOmic Health Artificial Intelligence in Medical Software Product Portfolio
- 12.10.5 LifeOmic Health Recent Developments
- 12.11 Pierian
- 12.11.1 Pierian Company Information
- 12.11.2 Pierian Business Overview
- 12.11.3 Pierian Revenue in Artificial Intelligence in Medical Software Business (2021-2026)
- 12.11.4 Pierian Artificial Intelligence in Medical Software Product Portfolio
- 12.11.5 Pierian Recent Developments
- 12.12 SOPHiA GENETICS
- 12.12.1 SOPHiA GENETICS Company Information
- 12.12.2 SOPHiA GENETICS Business Overview
- 12.12.3 SOPHiA GENETICS Revenue in Artificial Intelligence in Medical Software Business (2021-2026)
- 12.12.4 SOPHiA GENETICS Artificial Intelligence in Medical Software Product Portfolio
- 12.12.5 SOPHiA GENETICS Recent Developments
- 12.13 Syapse
- 12.13.1 Syapse Company Information
- 12.13.2 Syapse Business Overview
- 12.13.3 Syapse Revenue in Artificial Intelligence in Medical Software Business (2021-2026)
- 12.13.4 Syapse Artificial Intelligence in Medical Software Product Portfolio
- 12.13.5 Syapse Recent Developments
- 12.14 Tempus
- 12.14.1 Tempus Company Information
- 12.14.2 Tempus Business Overview
- 12.14.3 Tempus Revenue in Artificial Intelligence in Medical Software Business (2021-2026)
- 12.14.4 Tempus Artificial Intelligence in Medical Software Product Portfolio
- 12.14.5 Tempus Recent Developments
- 12.15 Translational Software
- 12.15.1 Translational Software Company Information
- 12.15.2 Translational Software Business Overview
- 12.15.3 Translational Software Revenue in Artificial Intelligence in Medical Software Business (2021-2026)
- 12.15.4 Translational Software Artificial Intelligence in Medical Software Product Portfolio
- 12.15.5 Translational Software Recent Developments
13 Report Conclusion
14 Disclaimer
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