Selected research
Market Analysis & Forecast
Global AI in Predictive Medicine Market Analysis and Forecast 2026-2032
Market perspective
The global AI in Predictive Medicine market is projected to grow from US$ million in 2026 to US$ million by 2032, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The North America market for AI in Predictive Medicine is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Europe market for AI in Predictive Medicine is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Read the full market overview
Asia-Pacific market for AI in Predictive Medicine is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The China market for AI in Predictive Medicine is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The major global companies of AI in Predictive Medicine include Tempus, PathAI, Qure.ai, Artera, Athelas, Insilico Medicine, Atomwise, Arcadia and Merck Group, etc. In 2025, the world's top three vendors accounted for approximately % of the revenue.
Report Includes
This report presents an overview of global market for AI in Predictive Medicine, market size. Analyses of the global market trends, with historic market revenue data for 2021 - 2025, estimates for 2026, and projections of CAGR through 2032.
This report researches the key producers of AI in Predictive Medicine, also provides the revenue of main regions and countries. Of the upcoming market potential for AI in Predictive Medicine, and key regions or countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the AI in Predictive Medicine revenue, market share and industry ranking of main manufacturers, data from 2021 to 2026. Identification of the major stakeholders in the global AI in Predictive Medicine market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2021 to 2032. Evaluation and forecast the market size for AI in Predictive Medicine revenue, projected growth trends, production technology, application and end-user industry.
AI in Predictive Medicine Segment by Company
Tempus
PathAI
Qure.ai
Artera
Athelas
Insilico Medicine
Atomwise
Arcadia
Merck Group
Verantos
Imagene
Generate:Biomedicines
Insitro
Ibex Medical Analytics
Achievion Solutions
AI in Predictive Medicine Segment by Type
Machine Learning and Deep Learning
Natural Language Processing
Multimodal Data Fusion
Time Series Model
AI in Predictive Medicine Segment by Application
Disease Risk Prediction
Early Diagnosis
Prognosis Prediction
Treatment Response Prediction
AI in Predictive Medicine 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
Study Objectives
1. To analyze and research the global status and future forecast, involving growth rate (CAGR), market share, historical and forecast.
2. To present the key players, revenue, market share, and Recent Developments.
3. To split the breakdown data by regions, type, manufacturers, and Application.
4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify significant trends, drivers, influence factors in global and regions.
6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
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 in Predictive Medicine 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 in Predictive Medicine 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 market size), 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 in Predictive Medicine.
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 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 2: 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 3: Revenue of AI in Predictive Medicine in global and regional level. 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 4: Detailed analysis of AI in Predictive Medicine company competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, AI in Predictive Medicine revenue, gross margin, and recent development, etc.
Chapter 8: North America by type, by application and by country, revenue for each segment.
Chapter 9: Europe by type, by application and by country, revenue for each segment.
Chapter 10: China type, by application, revenue for each segment.
Chapter 11: Asia (excluding China) type, by application and by region, revenue for each segment.
Chapter 12: South America, Middle East and Africa by type, by application and by country, revenue for each segment.
Chapter 13: The main concluding insights of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Machine Learning and Deep Learning
- Natural Language Processing
- Multimodal Data Fusion
- Time Series Model
Applications
- Disease Risk Prediction
- Early Diagnosis
- Prognosis Prediction
- Treatment Response Prediction
Companies covered
- Tempus
- PathAI
- Qure.ai
- Artera
- Athelas
- Insilico Medicine
- Atomwise
- Arcadia
- Merck Group
- Verantos
- Imagene
- Generate:Biomedicines
- Insitro
- Ibex Medical Analytics
- Achievion Solutions
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 AI in Predictive Medicine Market by Type
- 1.2.1 Global AI in Predictive Medicine Market Size by Type, 2021 VS 2025 VS 2032
- 1.2.2 Machine Learning and Deep Learning
- 1.2.3 Natural Language Processing
- 1.2.4 Multimodal Data Fusion
- 1.2.5 Time Series Model
- 1.3 AI in Predictive Medicine Market by Application
- 1.3.1 Global AI in Predictive Medicine Market Size by Application, 2021 VS 2025 VS 2032
- 1.3.2 Disease Risk Prediction
- 1.3.3 Early Diagnosis
- 1.3.4 Prognosis Prediction
- 1.3.5 Treatment Response Prediction
- 1.4 Assumptions and Limitations
- 1.5 Study Goals and Objectives
2 AI in Predictive Medicine Market Dynamics
- 2.1 AI in Predictive Medicine Industry Trends
- 2.2 AI in Predictive Medicine Industry Drivers
- 2.3 AI in Predictive Medicine Industry Opportunities and Challenges
- 2.4 AI in Predictive Medicine Industry Restraints
3 Global Growth Perspective
- 3.1 Global AI in Predictive Medicine Market Perspective (2021-2032)
- 3.2 Global AI in Predictive Medicine Growth Trends by Region
- 3.2.1 Global AI in Predictive Medicine Market Size by Region: 2021 VS 2025 VS 2032
- 3.2.2 Global AI in Predictive Medicine Market Size by Region (2021-2026)
- 3.2.3 Global AI in Predictive Medicine Market Size by Region (2027-2032)
4 Competitive Landscape by Players
- 4.1 Global AI in Predictive Medicine Revenue by Players
- 4.1.1 Global AI in Predictive Medicine Revenue by Players (2021-2026)
- 4.1.2 Global AI in Predictive Medicine Revenue Market Share by Players (2021-2026)
- 4.1.3 Global AI in Predictive Medicine Players Revenue Share Top 10 and Top 5 in 2025
- 4.2 Global AI in Predictive Medicine Key Players Ranking, 2024 VS 2025 VS 2026
- 4.3 Global AI in Predictive Medicine Key Players Headquarters & Area Served
- 4.4 Global AI in Predictive Medicine Players, Product Type & Application
- 4.5 Global AI in Predictive Medicine Players Establishment Date
- 4.6 Market Competitive Analysis
- 4.6.1 Global AI in Predictive Medicine Market CR5 and HHI
- 4.6.3 2025 AI in Predictive Medicine Tier 1, Tier 2, and Tier 3
5 AI in Predictive Medicine Market Size by Type
- 5.1 Global AI in Predictive Medicine Revenue by Type (2021 VS 2025 VS 2032)
- 5.2 Global AI in Predictive Medicine Revenue by Type (2021-2032)
- 5.3 Global AI in Predictive Medicine Revenue Market Share by Type (2021-2032)
6 AI in Predictive Medicine Market Size by Application
- 6.1 Global AI in Predictive Medicine Revenue by Application (2021 VS 2025 VS 2032)
- 6.2 Global AI in Predictive Medicine Revenue by Application (2021-2032)
- 6.3 Global AI in Predictive Medicine Revenue Market Share by Application (2021-2032)
7 Company Profiles
- 7.1 Tempus
- 7.1.1 Tempus Company Information
- 7.1.2 Tempus Business Overview
- 7.1.3 Tempus AI in Predictive Medicine Revenue and Gross Margin (2021-2026)
- 7.1.4 Tempus AI in Predictive Medicine Product Portfolio
- 7.1.5 Tempus Recent Developments
- 7.2 PathAI
- 7.2.1 PathAI Company Information
- 7.2.2 PathAI Business Overview
- 7.2.3 PathAI AI in Predictive Medicine Revenue and Gross Margin (2021-2026)
- 7.2.4 PathAI AI in Predictive Medicine Product Portfolio
- 7.2.5 PathAI Recent Developments
- 7.3 Qure.ai
- 7.3.1 Qure.ai Company Information
- 7.3.2 Qure.ai Business Overview
- 7.3.3 Qure.ai AI in Predictive Medicine Revenue and Gross Margin (2021-2026)
- 7.3.4 Qure.ai AI in Predictive Medicine Product Portfolio
- 7.3.5 Qure.ai Recent Developments
- 7.4 Artera
- 7.4.1 Artera Company Information
- 7.4.2 Artera Business Overview
- 7.4.3 Artera AI in Predictive Medicine Revenue and Gross Margin (2021-2026)
- 7.4.4 Artera AI in Predictive Medicine Product Portfolio
- 7.4.5 Artera Recent Developments
- 7.5 Athelas
- 7.5.1 Athelas Company Information
- 7.5.2 Athelas Business Overview
- 7.5.3 Athelas AI in Predictive Medicine Revenue and Gross Margin (2021-2026)
- 7.5.4 Athelas AI in Predictive Medicine Product Portfolio
- 7.5.5 Athelas Recent Developments
- 7.6 Insilico Medicine
- 7.6.1 Insilico Medicine Company Information
- 7.6.2 Insilico Medicine Business Overview
- 7.6.3 Insilico Medicine AI in Predictive Medicine Revenue and Gross Margin (2021-2026)
- 7.6.4 Insilico Medicine AI in Predictive Medicine Product Portfolio
- 7.6.5 Insilico Medicine Recent Developments
- 7.7 Atomwise
- 7.7.1 Atomwise Company Information
- 7.7.2 Atomwise Business Overview
- 7.7.3 Atomwise AI in Predictive Medicine Revenue and Gross Margin (2021-2026)
- 7.7.4 Atomwise AI in Predictive Medicine Product Portfolio
- 7.7.5 Atomwise Recent Developments
- 7.8 Arcadia
- 7.8.1 Arcadia Company Information
- 7.8.2 Arcadia Business Overview
- 7.8.3 Arcadia AI in Predictive Medicine Revenue and Gross Margin (2021-2026)
- 7.8.4 Arcadia AI in Predictive Medicine Product Portfolio
- 7.8.5 Arcadia Recent Developments
- 7.9 Merck Group
- 7.9.1 Merck Group Company Information
- 7.9.2 Merck Group Business Overview
- 7.9.3 Merck Group AI in Predictive Medicine Revenue and Gross Margin (2021-2026)
- 7.9.4 Merck Group AI in Predictive Medicine Product Portfolio
- 7.9.5 Merck Group Recent Developments
- 7.10 Verantos
- 7.10.1 Verantos Company Information
- 7.10.2 Verantos Business Overview
- 7.10.3 Verantos AI in Predictive Medicine Revenue and Gross Margin (2021-2026)
- 7.10.4 Verantos AI in Predictive Medicine Product Portfolio
- 7.10.5 Verantos Recent Developments
- 7.11 Imagene
- 7.11.1 Imagene Company Information
- 7.11.2 Imagene Business Overview
- 7.11.3 Imagene AI in Predictive Medicine Revenue and Gross Margin (2021-2026)
- 7.11.4 Imagene AI in Predictive Medicine Product Portfolio
- 7.11.5 Imagene Recent Developments
- 7.12 Generate:Biomedicines
- 7.12.1 Generate:Biomedicines Company Information
- 7.12.2 Generate:Biomedicines Business Overview
- 7.12.3 Generate:Biomedicines AI in Predictive Medicine Revenue and Gross Margin (2021-2026)
- 7.12.4 Generate:Biomedicines AI in Predictive Medicine Product Portfolio
- 7.12.5 Generate:Biomedicines Recent Developments
- 7.13 Insitro
- 7.13.1 Insitro Company Information
- 7.13.2 Insitro Business Overview
- 7.13.3 Insitro AI in Predictive Medicine Revenue and Gross Margin (2021-2026)
- 7.13.4 Insitro AI in Predictive Medicine Product Portfolio
- 7.13.5 Insitro Recent Developments
- 7.14 Ibex Medical Analytics
- 7.14.1 Ibex Medical Analytics Company Information
- 7.14.2 Ibex Medical Analytics Business Overview
- 7.14.3 Ibex Medical Analytics AI in Predictive Medicine Revenue and Gross Margin (2021-2026)
- 7.14.4 Ibex Medical Analytics AI in Predictive Medicine Product Portfolio
- 7.14.5 Ibex Medical Analytics Recent Developments
- 7.15 Achievion Solutions
- 7.15.1 Achievion Solutions Company Information
- 7.15.2 Achievion Solutions Business Overview
- 7.15.3 Achievion Solutions AI in Predictive Medicine Revenue and Gross Margin (2021-2026)
- 7.15.4 Achievion Solutions AI in Predictive Medicine Product Portfolio
- 7.15.5 Achievion Solutions Recent Developments
8 North America
- 8.1 North America AI in Predictive Medicine Revenue (2021-2032)
- 8.2 North America AI in Predictive Medicine Revenue by Type (2021-2032)
- 8.2.1 North America AI in Predictive Medicine Revenue by Type (2021-2026)
- 8.2.2 North America AI in Predictive Medicine Revenue by Type (2027-2032)
- 8.3 North America AI in Predictive Medicine Revenue Share by Type (2021-2032)
- 8.4 North America AI in Predictive Medicine Revenue by Application (2021-2032)
- 8.4.1 North America AI in Predictive Medicine Revenue by Application (2021-2026)
- 8.4.2 North America AI in Predictive Medicine Revenue by Application (2027-2032)
- 8.5 North America AI in Predictive Medicine Revenue Share by Application (2021-2032)
- 8.6 North America AI in Predictive Medicine Revenue by Country
- 8.6.1 North America AI in Predictive Medicine Revenue by Country (2021 VS 2025 VS 2032)
- 8.6.2 North America AI in Predictive Medicine Revenue by Country (2021-2026)
- 8.6.3 North America AI in Predictive Medicine Revenue by Country (2027-2032)
- 8.6.4 United States
- 8.6.5 Canada
- 8.6.6 Mexico
9 Europe
- 9.1 Europe AI in Predictive Medicine Revenue (2021-2032)
- 9.2 Europe AI in Predictive Medicine Revenue by Type (2021-2032)
- 9.2.1 Europe AI in Predictive Medicine Revenue by Type (2021-2026)
- 9.2.2 Europe AI in Predictive Medicine Revenue by Type (2027-2032)
- 9.3 Europe AI in Predictive Medicine Revenue Share by Type (2021-2032)
- 9.4 Europe AI in Predictive Medicine Revenue by Application (2021-2032)
- 9.4.1 Europe AI in Predictive Medicine Revenue by Application (2021-2026)
- 9.4.2 Europe AI in Predictive Medicine Revenue by Application (2027-2032)
- 9.5 Europe AI in Predictive Medicine Revenue Share by Application (2021-2032)
- 9.6 Europe AI in Predictive Medicine Revenue by Country
- 9.6.1 Europe AI in Predictive Medicine Revenue by Country (2021 VS 2025 VS 2032)
- 9.6.2 Europe AI in Predictive Medicine Revenue by Country (2021-2026)
- 9.6.3 Europe AI in Predictive Medicine Revenue by Country (2027-2032)
- 9.6.4 Germany
- 9.6.5 France
- 9.6.6 U.K.
- 9.6.7 Italy
- 9.6.8 Russia
- 9.6.9 Spain
- 9.6.10 Netherlands
- 9.6.11 Switzerland
- 9.6.12 Sweden
- 9.6.13 Poland
10 China
- 10.1 China AI in Predictive Medicine Revenue (2021-2032)
- 10.2 China AI in Predictive Medicine Revenue by Type (2021-2032)
- 10.2.1 China AI in Predictive Medicine Revenue by Type (2021-2026)
- 10.2.2 China AI in Predictive Medicine Revenue by Type (2027-2032)
- 10.3 China AI in Predictive Medicine Revenue Share by Type (2021-2032)
- 10.4 China AI in Predictive Medicine Revenue by Application (2021-2032)
- 10.4.1 China AI in Predictive Medicine Revenue by Application (2021-2026)
- 10.4.2 China AI in Predictive Medicine Revenue by Application (2027-2032)
- 10.5 China AI in Predictive Medicine Revenue Share by Application (2021-2032)
11 Asia (Excluding China)
- 11.1 Asia AI in Predictive Medicine Revenue (2021-2032)
- 11.2 Asia AI in Predictive Medicine Revenue by Type (2021-2032)
- 11.2.1 Asia AI in Predictive Medicine Revenue by Type (2021-2026)
- 11.2.2 Asia AI in Predictive Medicine Revenue by Type (2027-2032)
- 11.3 Asia AI in Predictive Medicine Revenue Share by Type (2021-2032)
- 11.4 Asia AI in Predictive Medicine Revenue by Application (2021-2032)
- 11.4.1 Asia AI in Predictive Medicine Revenue by Application (2021-2026)
- 11.4.2 Asia AI in Predictive Medicine Revenue by Application (2027-2032)
- 11.5 Asia AI in Predictive Medicine Revenue Share by Application (2021-2032)
- 11.6 Asia AI in Predictive Medicine Revenue by Country
- 11.6.1 Asia AI in Predictive Medicine Revenue by Country (2021 VS 2025 VS 2032)
- 11.6.2 Asia AI in Predictive Medicine Revenue by Country (2021-2026)
- 11.6.3 Asia AI in Predictive Medicine Revenue by Country (2027-2032)
- 11.6.4 Japan
- 11.6.5 South Korea
- 11.6.6 India
- 11.6.7 Australia
- 11.6.8 Taiwan
- 11.6.9 Southeast Asia
12 South America, Middle East and Africa
- 12.1 SAMEA AI in Predictive Medicine Revenue (2021-2032)
- 12.2 SAMEA AI in Predictive Medicine Revenue by Type (2021-2032)
- 12.2.1 SAMEA AI in Predictive Medicine Revenue by Type (2021-2026)
- 12.2.2 SAMEA AI in Predictive Medicine Revenue by Type (2027-2032)
- 12.3 SAMEA AI in Predictive Medicine Revenue Share by Type (2021-2032)
- 12.4 SAMEA AI in Predictive Medicine Revenue by Application (2021-2032)
- 12.4.1 SAMEA AI in Predictive Medicine Revenue by Application (2021-2026)
- 12.4.2 SAMEA AI in Predictive Medicine Revenue by Application (2027-2032)
- 12.5 SAMEA AI in Predictive Medicine Revenue Share by Application (2021-2032)
- 12.6 SAMEA AI in Predictive Medicine Revenue by Country
- 12.6.1 SAMEA AI in Predictive Medicine Revenue by Country (2021 VS 2025 VS 2032)
- 12.6.2 SAMEA AI in Predictive Medicine Revenue by Country (2021-2026)
- 12.6.3 SAMEA AI in Predictive Medicine Revenue by Country (2027-2032)
- 12.6.4 Brazil
- 12.6.5 Argentina
- 12.6.6 Chile
- 12.6.7 Colombia
- 12.6.8 Peru
- 12.6.9 Saudi Arabia
- 12.6.10 Israel
- 12.6.11 UAE
- 12.6.12 Turkey
- 12.6.13 Iran
- 12.6.14 Egypt
13 Concluding Insights
14 Appendix
- 14.1 Reasons for Doing This Study
- 14.2 Research Methodology
- 14.3 Research Process
- 14.4 Authors List of This Report
- 14.5 Data Source
- 14.5.1 Secondary Sources
- 14.5.2 Primary Sources
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