Selected research
Industry Research
AI Disease Prediction Software Industry Research Report 2026
Market perspective
The global AI Disease Prediction 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 AI Disease Prediction 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 AI Disease Prediction 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 AI Disease Prediction 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 AI Disease Prediction Software include IntelliGenes, IBM Watson Oncology, PathAI, Zebra Medical Vision, Siemens Healthineers, GitHub LifeAI, DeepView, Google DeepMind and Binariks, 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 AI Disease Prediction 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 AI Disease Prediction 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.
AI Disease Prediction Software Market by Company
IntelliGenes
IBM Watson Oncology
PathAI
Zebra Medical Vision
Siemens Healthineers
GitHub LifeAI
DeepView
Google DeepMind
Binariks
Paige.AI
Lunit INSIGHT
Arterys
Winterlight Labs
BrainScope
Livongo
Deep Genomics
IDx-DR
ChestEye
Viz.ai
AI Disease Prediction Software Segment by Type
Cloud-based
On-premises
AI Disease Prediction Software Segment by Application
Cancer
Cardiovascular Disease
Nervous System Disease
Chronic Disease and Metabolic Disease
Others
AI Disease Prediction 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 AI Disease Prediction 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 AI Disease Prediction 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 AI Disease Prediction 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 AI Disease Prediction 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
- Cloud-based
- On-premises
Applications
- Cancer
- Cardiovascular Disease
- Nervous System Disease
- Chronic Disease and Metabolic Disease
- Others
Companies covered
- IntelliGenes
- IBM Watson Oncology
- PathAI
- Zebra Medical Vision
- Siemens Healthineers
- GitHub LifeAI
- DeepView
- Google DeepMind
- Binariks
- Paige.AI
- Lunit INSIGHT
- Arterys
- Winterlight Labs
- BrainScope
- Livongo
- Deep Genomics
- IDx-DR
- ChestEye
- Viz.ai
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 AI Disease Prediction Software by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Cloud-based
- 2.2.3 On-premises
- 2.3 AI Disease Prediction Software by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Cancer
- 2.3.3 Cardiovascular Disease
- 2.3.4 Nervous System Disease
- 2.3.5 Chronic Disease and Metabolic Disease
- 2.3.6 Others
- 2.4 Assumptions and Limitations
3 AI Disease Prediction Software Breakdown Data by Type
- 3.1 Global AI Disease Prediction Software Historic Market Size by Type (2021-2026)
- 3.2 Global AI Disease Prediction Software Forecasted Market Size by Type (2027-2032)
4 AI Disease Prediction Software Breakdown Data by Application
- 4.1 Global AI Disease Prediction Software Historic Market Size by Application (2021-2026)
- 4.2 Global AI Disease Prediction Software Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global AI Disease Prediction Software Market Perspective (2021-2032)
- 5.2 Global AI Disease Prediction Software Growth Trends by Region
- 5.2.1 Global AI Disease Prediction Software Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 AI Disease Prediction Software Historic Market Size by Region (2021-2026)
- 5.2.3 AI Disease Prediction Software Forecasted Market Size by Region (2027-2032)
- 5.3 AI Disease Prediction Software Market Dynamics
- 5.3.1 AI Disease Prediction Software Industry Trends
- 5.3.2 AI Disease Prediction Software Market Drivers
- 5.3.3 AI Disease Prediction Software Market Challenges
- 5.3.4 AI Disease Prediction Software Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top AI Disease Prediction Software Players by Revenue
- 6.1.1 Global Top AI Disease Prediction Software Players by Revenue (2021-2026)
- 6.1.2 Global AI Disease Prediction Software Revenue Market Share by Players (2021-2026)
- 6.2 Global AI Disease Prediction Software Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of AI Disease Prediction Software Head Office and Area Served
- 6.4 Global AI Disease Prediction Software Players, Product Type & Application
- 6.5 Global AI Disease Prediction Software Manufacturers Established Date
- 6.6 Global AI Disease Prediction Software Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America AI Disease Prediction Software Market Size (2021-2032)
- 7.2 North America AI Disease Prediction Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America AI Disease Prediction Software Market Size by Country (2021-2026)
- 7.4 North America AI Disease Prediction 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 AI Disease Prediction Software Market Size (2021-2032)
- 8.2 Europe AI Disease Prediction Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe AI Disease Prediction Software Market Size by Country (2021-2026)
- 8.4 Europe AI Disease Prediction 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 AI Disease Prediction Software Market Size (2021-2032)
- 9.2 Asia-Pacific AI Disease Prediction Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific AI Disease Prediction Software Market Size by Country (2021-2026)
- 9.4 Asia-Pacific AI Disease Prediction 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 AI Disease Prediction Software Market Size (2021-2032)
- 10.2 South America AI Disease Prediction Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America AI Disease Prediction Software Market Size by Country (2021-2026)
- 10.4 South America AI Disease Prediction 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 AI Disease Prediction Software Market Size (2021-2032)
- 11.2 Middle East & Africa AI Disease Prediction Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa AI Disease Prediction Software Market Size by Country (2021-2026)
- 11.4 Middle East & Africa AI Disease Prediction 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 IntelliGenes
- 12.1.1 IntelliGenes Company Information
- 12.1.2 IntelliGenes Business Overview
- 12.1.3 IntelliGenes Revenue in AI Disease Prediction Software Business (2021-2026)
- 12.1.4 IntelliGenes AI Disease Prediction Software Product Portfolio
- 12.1.5 IntelliGenes Recent Developments
- 12.2 IBM Watson Oncology
- 12.2.1 IBM Watson Oncology Company Information
- 12.2.2 IBM Watson Oncology Business Overview
- 12.2.3 IBM Watson Oncology Revenue in AI Disease Prediction Software Business (2021-2026)
- 12.2.4 IBM Watson Oncology AI Disease Prediction Software Product Portfolio
- 12.2.5 IBM Watson Oncology Recent Developments
- 12.3 PathAI
- 12.3.1 PathAI Company Information
- 12.3.2 PathAI Business Overview
- 12.3.3 PathAI Revenue in AI Disease Prediction Software Business (2021-2026)
- 12.3.4 PathAI AI Disease Prediction Software Product Portfolio
- 12.3.5 PathAI Recent Developments
- 12.4 Zebra Medical Vision
- 12.4.1 Zebra Medical Vision Company Information
- 12.4.2 Zebra Medical Vision Business Overview
- 12.4.3 Zebra Medical Vision Revenue in AI Disease Prediction Software Business (2021-2026)
- 12.4.4 Zebra Medical Vision AI Disease Prediction Software Product Portfolio
- 12.4.5 Zebra Medical Vision Recent Developments
- 12.5 Siemens Healthineers
- 12.5.1 Siemens Healthineers Company Information
- 12.5.2 Siemens Healthineers Business Overview
- 12.5.3 Siemens Healthineers Revenue in AI Disease Prediction Software Business (2021-2026)
- 12.5.4 Siemens Healthineers AI Disease Prediction Software Product Portfolio
- 12.5.5 Siemens Healthineers Recent Developments
- 12.6 GitHub LifeAI
- 12.6.1 GitHub LifeAI Company Information
- 12.6.2 GitHub LifeAI Business Overview
- 12.6.3 GitHub LifeAI Revenue in AI Disease Prediction Software Business (2021-2026)
- 12.6.4 GitHub LifeAI AI Disease Prediction Software Product Portfolio
- 12.6.5 GitHub LifeAI Recent Developments
- 12.7 DeepView
- 12.7.1 DeepView Company Information
- 12.7.2 DeepView Business Overview
- 12.7.3 DeepView Revenue in AI Disease Prediction Software Business (2021-2026)
- 12.7.4 DeepView AI Disease Prediction Software Product Portfolio
- 12.7.5 DeepView Recent Developments
- 12.8 Google DeepMind
- 12.8.1 Google DeepMind Company Information
- 12.8.2 Google DeepMind Business Overview
- 12.8.3 Google DeepMind Revenue in AI Disease Prediction Software Business (2021-2026)
- 12.8.4 Google DeepMind AI Disease Prediction Software Product Portfolio
- 12.8.5 Google DeepMind Recent Developments
- 12.9 Binariks
- 12.9.1 Binariks Company Information
- 12.9.2 Binariks Business Overview
- 12.9.3 Binariks Revenue in AI Disease Prediction Software Business (2021-2026)
- 12.9.4 Binariks AI Disease Prediction Software Product Portfolio
- 12.9.5 Binariks Recent Developments
- 12.10 Paige.AI
- 12.10.1 Paige.AI Company Information
- 12.10.2 Paige.AI Business Overview
- 12.10.3 Paige.AI Revenue in AI Disease Prediction Software Business (2021-2026)
- 12.10.4 Paige.AI AI Disease Prediction Software Product Portfolio
- 12.10.5 Paige.AI Recent Developments
- 12.11 Lunit INSIGHT
- 12.11.1 Lunit INSIGHT Company Information
- 12.11.2 Lunit INSIGHT Business Overview
- 12.11.3 Lunit INSIGHT Revenue in AI Disease Prediction Software Business (2021-2026)
- 12.11.4 Lunit INSIGHT AI Disease Prediction Software Product Portfolio
- 12.11.5 Lunit INSIGHT Recent Developments
- 12.12 Arterys
- 12.12.1 Arterys Company Information
- 12.12.2 Arterys Business Overview
- 12.12.3 Arterys Revenue in AI Disease Prediction Software Business (2021-2026)
- 12.12.4 Arterys AI Disease Prediction Software Product Portfolio
- 12.12.5 Arterys Recent Developments
- 12.13 Winterlight Labs
- 12.13.1 Winterlight Labs Company Information
- 12.13.2 Winterlight Labs Business Overview
- 12.13.3 Winterlight Labs Revenue in AI Disease Prediction Software Business (2021-2026)
- 12.13.4 Winterlight Labs AI Disease Prediction Software Product Portfolio
- 12.13.5 Winterlight Labs Recent Developments
- 12.14 BrainScope
- 12.14.1 BrainScope Company Information
- 12.14.2 BrainScope Business Overview
- 12.14.3 BrainScope Revenue in AI Disease Prediction Software Business (2021-2026)
- 12.14.4 BrainScope AI Disease Prediction Software Product Portfolio
- 12.14.5 BrainScope Recent Developments
- 12.15 Livongo
- 12.15.1 Livongo Company Information
- 12.15.2 Livongo Business Overview
- 12.15.3 Livongo Revenue in AI Disease Prediction Software Business (2021-2026)
- 12.15.4 Livongo AI Disease Prediction Software Product Portfolio
- 12.15.5 Livongo Recent Developments
- 12.16 Deep Genomics
- 12.16.1 Deep Genomics Company Information
- 12.16.2 Deep Genomics Business Overview
- 12.16.3 Deep Genomics Revenue in AI Disease Prediction Software Business (2021-2026)
- 12.16.4 Deep Genomics AI Disease Prediction Software Product Portfolio
- 12.16.5 Deep Genomics Recent Developments
- 12.17 IDx-DR
- 12.17.1 IDx-DR Company Information
- 12.17.2 IDx-DR Business Overview
- 12.17.3 IDx-DR Revenue in AI Disease Prediction Software Business (2021-2026)
- 12.17.4 IDx-DR AI Disease Prediction Software Product Portfolio
- 12.17.5 IDx-DR Recent Developments
- 12.18 ChestEye
- 12.18.1 ChestEye Company Information
- 12.18.2 ChestEye Business Overview
- 12.18.3 ChestEye Revenue in AI Disease Prediction Software Business (2021-2026)
- 12.18.4 ChestEye AI Disease Prediction Software Product Portfolio
- 12.18.5 ChestEye Recent Developments
- 12.19 Viz.ai
- 12.19.1 Viz.ai Company Information
- 12.19.2 Viz.ai Business Overview
- 12.19.3 Viz.ai Revenue in AI Disease Prediction Software Business (2021-2026)
- 12.19.4 Viz.ai AI Disease Prediction Software Product Portfolio
- 12.19.5 Viz.ai Recent Developments
13 Report Conclusion
14 Disclaimer
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