Selected research
Market Analysis & Forecast
Global AI in Pharmaceutical Market Analysis and Forecast 2026-2032
Market perspective
The global AI in Pharmaceutical 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 Pharmaceutical 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 Pharmaceutical 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 Pharmaceutical 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 Pharmaceutical 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 Pharmaceutical include Cradle, Prezent, Insilico Medicine, Owkin, Inc, Certara, PathAI, Inc, Aizon, Salesforce, Inc and Aidoc, 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 Pharmaceutical, 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 Pharmaceutical, also provides the revenue of main regions and countries. Of the upcoming market potential for AI in Pharmaceutical, 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 Pharmaceutical revenue, market share and industry ranking of main manufacturers, data from 2021 to 2026. Identification of the major stakeholders in the global AI in Pharmaceutical 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 Pharmaceutical revenue, projected growth trends, production technology, application and end-user industry.
AI in Pharmaceutical Segment by Company
Cradle
Prezent
Insilico Medicine
Owkin, Inc
Certara
PathAI, Inc
Aizon
Salesforce, Inc
Aidoc
IQVIA
ISOMORPHIC LABS
ConcertAI
Nexocode
BenevolentAI
Recursion
Iktos
XtalPi Inc
AI in Pharmaceutical Segment by Type
Cloud-Based AI Solutions
On-Premises AI Platforms
AI in Pharmaceutical Segment by Application
Drug Discovery and Design
Biomarker Identification
Clinical Trial Optimization
Manufacturing Process Optimization
Others
AI in Pharmaceutical 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 Pharmaceutical 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 Pharmaceutical 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 Pharmaceutical.
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 Pharmaceutical 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 Pharmaceutical 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 Pharmaceutical 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
- Cloud-Based AI Solutions
- On-Premises AI Platforms
Applications
- Drug Discovery and Design
- Biomarker Identification
- Clinical Trial Optimization
- Manufacturing Process Optimization
- Others
Companies covered
- Cradle
- Prezent
- Insilico Medicine
- Owkin, Inc
- Certara
- PathAI, Inc
- Aizon
- Salesforce, Inc
- Aidoc
- IQVIA
- ISOMORPHIC LABS
- ConcertAI
- Nexocode
- BenevolentAI
- Recursion
- Iktos
- XtalPi Inc
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 AI in Pharmaceutical Market by Type
- 1.2.1 Global AI in Pharmaceutical Market Size by Type, 2021 VS 2025 VS 2032
- 1.2.2 Cloud-Based AI Solutions
- 1.2.3 On-Premises AI Platforms
- 1.3 AI in Pharmaceutical Market by Application
- 1.3.1 Global AI in Pharmaceutical Market Size by Application, 2021 VS 2025 VS 2032
- 1.3.2 Drug Discovery and Design
- 1.3.3 Biomarker Identification
- 1.3.4 Clinical Trial Optimization
- 1.3.5 Manufacturing Process Optimization
- 1.3.6 Others
- 1.4 Assumptions and Limitations
- 1.5 Study Goals and Objectives
2 AI in Pharmaceutical Market Dynamics
- 2.1 AI in Pharmaceutical Industry Trends
- 2.2 AI in Pharmaceutical Industry Drivers
- 2.3 AI in Pharmaceutical Industry Opportunities and Challenges
- 2.4 AI in Pharmaceutical Industry Restraints
3 Global Growth Perspective
- 3.1 Global AI in Pharmaceutical Market Perspective (2021-2032)
- 3.2 Global AI in Pharmaceutical Growth Trends by Region
- 3.2.1 Global AI in Pharmaceutical Market Size by Region: 2021 VS 2025 VS 2032
- 3.2.2 Global AI in Pharmaceutical Market Size by Region (2021-2026)
- 3.2.3 Global AI in Pharmaceutical Market Size by Region (2027-2032)
4 Competitive Landscape by Players
- 4.1 Global AI in Pharmaceutical Revenue by Players
- 4.1.1 Global AI in Pharmaceutical Revenue by Players (2021-2026)
- 4.1.2 Global AI in Pharmaceutical Revenue Market Share by Players (2021-2026)
- 4.1.3 Global AI in Pharmaceutical Players Revenue Share Top 10 and Top 5 in 2025
- 4.2 Global AI in Pharmaceutical Key Players Ranking, 2024 VS 2025 VS 2026
- 4.3 Global AI in Pharmaceutical Key Players Headquarters & Area Served
- 4.4 Global AI in Pharmaceutical Players, Product Type & Application
- 4.5 Global AI in Pharmaceutical Players Establishment Date
- 4.6 Market Competitive Analysis
- 4.6.1 Global AI in Pharmaceutical Market CR5 and HHI
- 4.6.3 2025 AI in Pharmaceutical Tier 1, Tier 2, and Tier 3
5 AI in Pharmaceutical Market Size by Type
- 5.1 Global AI in Pharmaceutical Revenue by Type (2021 VS 2025 VS 2032)
- 5.2 Global AI in Pharmaceutical Revenue by Type (2021-2032)
- 5.3 Global AI in Pharmaceutical Revenue Market Share by Type (2021-2032)
6 AI in Pharmaceutical Market Size by Application
- 6.1 Global AI in Pharmaceutical Revenue by Application (2021 VS 2025 VS 2032)
- 6.2 Global AI in Pharmaceutical Revenue by Application (2021-2032)
- 6.3 Global AI in Pharmaceutical Revenue Market Share by Application (2021-2032)
7 Company Profiles
- 7.1 Cradle
- 7.1.1 Cradle Company Information
- 7.1.2 Cradle Business Overview
- 7.1.3 Cradle AI in Pharmaceutical Revenue and Gross Margin (2021-2026)
- 7.1.4 Cradle AI in Pharmaceutical Product Portfolio
- 7.1.5 Cradle Recent Developments
- 7.2 Prezent
- 7.2.1 Prezent Company Information
- 7.2.2 Prezent Business Overview
- 7.2.3 Prezent AI in Pharmaceutical Revenue and Gross Margin (2021-2026)
- 7.2.4 Prezent AI in Pharmaceutical Product Portfolio
- 7.2.5 Prezent Recent Developments
- 7.3 Insilico Medicine
- 7.3.1 Insilico Medicine Company Information
- 7.3.2 Insilico Medicine Business Overview
- 7.3.3 Insilico Medicine AI in Pharmaceutical Revenue and Gross Margin (2021-2026)
- 7.3.4 Insilico Medicine AI in Pharmaceutical Product Portfolio
- 7.3.5 Insilico Medicine Recent Developments
- 7.4 Owkin, Inc
- 7.4.1 Owkin, Inc Company Information
- 7.4.2 Owkin, Inc Business Overview
- 7.4.3 Owkin, Inc AI in Pharmaceutical Revenue and Gross Margin (2021-2026)
- 7.4.4 Owkin, Inc AI in Pharmaceutical Product Portfolio
- 7.4.5 Owkin, Inc Recent Developments
- 7.5 Certara
- 7.5.1 Certara Company Information
- 7.5.2 Certara Business Overview
- 7.5.3 Certara AI in Pharmaceutical Revenue and Gross Margin (2021-2026)
- 7.5.4 Certara AI in Pharmaceutical Product Portfolio
- 7.5.5 Certara Recent Developments
- 7.6 PathAI, Inc
- 7.6.1 PathAI, Inc Company Information
- 7.6.2 PathAI, Inc Business Overview
- 7.6.3 PathAI, Inc AI in Pharmaceutical Revenue and Gross Margin (2021-2026)
- 7.6.4 PathAI, Inc AI in Pharmaceutical Product Portfolio
- 7.6.5 PathAI, Inc Recent Developments
- 7.7 Aizon
- 7.7.1 Aizon Company Information
- 7.7.2 Aizon Business Overview
- 7.7.3 Aizon AI in Pharmaceutical Revenue and Gross Margin (2021-2026)
- 7.7.4 Aizon AI in Pharmaceutical Product Portfolio
- 7.7.5 Aizon Recent Developments
- 7.8 Salesforce, Inc
- 7.8.1 Salesforce, Inc Company Information
- 7.8.2 Salesforce, Inc Business Overview
- 7.8.3 Salesforce, Inc AI in Pharmaceutical Revenue and Gross Margin (2021-2026)
- 7.8.4 Salesforce, Inc AI in Pharmaceutical Product Portfolio
- 7.8.5 Salesforce, Inc Recent Developments
- 7.9 Aidoc
- 7.9.1 Aidoc Company Information
- 7.9.2 Aidoc Business Overview
- 7.9.3 Aidoc AI in Pharmaceutical Revenue and Gross Margin (2021-2026)
- 7.9.4 Aidoc AI in Pharmaceutical Product Portfolio
- 7.9.5 Aidoc Recent Developments
- 7.10 IQVIA
- 7.10.1 IQVIA Company Information
- 7.10.2 IQVIA Business Overview
- 7.10.3 IQVIA AI in Pharmaceutical Revenue and Gross Margin (2021-2026)
- 7.10.4 IQVIA AI in Pharmaceutical Product Portfolio
- 7.10.5 IQVIA Recent Developments
- 7.11 ISOMORPHIC LABS
- 7.11.1 ISOMORPHIC LABS Company Information
- 7.11.2 ISOMORPHIC LABS Business Overview
- 7.11.3 ISOMORPHIC LABS AI in Pharmaceutical Revenue and Gross Margin (2021-2026)
- 7.11.4 ISOMORPHIC LABS AI in Pharmaceutical Product Portfolio
- 7.11.5 ISOMORPHIC LABS Recent Developments
- 7.12 ConcertAI
- 7.12.1 ConcertAI Company Information
- 7.12.2 ConcertAI Business Overview
- 7.12.3 ConcertAI AI in Pharmaceutical Revenue and Gross Margin (2021-2026)
- 7.12.4 ConcertAI AI in Pharmaceutical Product Portfolio
- 7.12.5 ConcertAI Recent Developments
- 7.13 Nexocode
- 7.13.1 Nexocode Company Information
- 7.13.2 Nexocode Business Overview
- 7.13.3 Nexocode AI in Pharmaceutical Revenue and Gross Margin (2021-2026)
- 7.13.4 Nexocode AI in Pharmaceutical Product Portfolio
- 7.13.5 Nexocode Recent Developments
- 7.14 BenevolentAI
- 7.14.1 BenevolentAI Company Information
- 7.14.2 BenevolentAI Business Overview
- 7.14.3 BenevolentAI AI in Pharmaceutical Revenue and Gross Margin (2021-2026)
- 7.14.4 BenevolentAI AI in Pharmaceutical Product Portfolio
- 7.14.5 BenevolentAI Recent Developments
- 7.15 Recursion
- 7.15.1 Recursion Company Information
- 7.15.2 Recursion Business Overview
- 7.15.3 Recursion AI in Pharmaceutical Revenue and Gross Margin (2021-2026)
- 7.15.4 Recursion AI in Pharmaceutical Product Portfolio
- 7.15.5 Recursion Recent Developments
- 7.16 Iktos
- 7.16.1 Iktos Company Information
- 7.16.2 Iktos Business Overview
- 7.16.3 Iktos AI in Pharmaceutical Revenue and Gross Margin (2021-2026)
- 7.16.4 Iktos AI in Pharmaceutical Product Portfolio
- 7.16.5 Iktos Recent Developments
- 7.17 XtalPi Inc
- 7.17.1 XtalPi Inc Company Information
- 7.17.2 XtalPi Inc Business Overview
- 7.17.3 XtalPi Inc AI in Pharmaceutical Revenue and Gross Margin (2021-2026)
- 7.17.4 XtalPi Inc AI in Pharmaceutical Product Portfolio
- 7.17.5 XtalPi Inc Recent Developments
8 North America
- 8.1 North America AI in Pharmaceutical Revenue (2021-2032)
- 8.2 North America AI in Pharmaceutical Revenue by Type (2021-2032)
- 8.2.1 North America AI in Pharmaceutical Revenue by Type (2021-2026)
- 8.2.2 North America AI in Pharmaceutical Revenue by Type (2027-2032)
- 8.3 North America AI in Pharmaceutical Revenue Share by Type (2021-2032)
- 8.4 North America AI in Pharmaceutical Revenue by Application (2021-2032)
- 8.4.1 North America AI in Pharmaceutical Revenue by Application (2021-2026)
- 8.4.2 North America AI in Pharmaceutical Revenue by Application (2027-2032)
- 8.5 North America AI in Pharmaceutical Revenue Share by Application (2021-2032)
- 8.6 North America AI in Pharmaceutical Revenue by Country
- 8.6.1 North America AI in Pharmaceutical Revenue by Country (2021 VS 2025 VS 2032)
- 8.6.2 North America AI in Pharmaceutical Revenue by Country (2021-2026)
- 8.6.3 North America AI in Pharmaceutical 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 Pharmaceutical Revenue (2021-2032)
- 9.2 Europe AI in Pharmaceutical Revenue by Type (2021-2032)
- 9.2.1 Europe AI in Pharmaceutical Revenue by Type (2021-2026)
- 9.2.2 Europe AI in Pharmaceutical Revenue by Type (2027-2032)
- 9.3 Europe AI in Pharmaceutical Revenue Share by Type (2021-2032)
- 9.4 Europe AI in Pharmaceutical Revenue by Application (2021-2032)
- 9.4.1 Europe AI in Pharmaceutical Revenue by Application (2021-2026)
- 9.4.2 Europe AI in Pharmaceutical Revenue by Application (2027-2032)
- 9.5 Europe AI in Pharmaceutical Revenue Share by Application (2021-2032)
- 9.6 Europe AI in Pharmaceutical Revenue by Country
- 9.6.1 Europe AI in Pharmaceutical Revenue by Country (2021 VS 2025 VS 2032)
- 9.6.2 Europe AI in Pharmaceutical Revenue by Country (2021-2026)
- 9.6.3 Europe AI in Pharmaceutical 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 Pharmaceutical Revenue (2021-2032)
- 10.2 China AI in Pharmaceutical Revenue by Type (2021-2032)
- 10.2.1 China AI in Pharmaceutical Revenue by Type (2021-2026)
- 10.2.2 China AI in Pharmaceutical Revenue by Type (2027-2032)
- 10.3 China AI in Pharmaceutical Revenue Share by Type (2021-2032)
- 10.4 China AI in Pharmaceutical Revenue by Application (2021-2032)
- 10.4.1 China AI in Pharmaceutical Revenue by Application (2021-2026)
- 10.4.2 China AI in Pharmaceutical Revenue by Application (2027-2032)
- 10.5 China AI in Pharmaceutical Revenue Share by Application (2021-2032)
11 Asia (Excluding China)
- 11.1 Asia AI in Pharmaceutical Revenue (2021-2032)
- 11.2 Asia AI in Pharmaceutical Revenue by Type (2021-2032)
- 11.2.1 Asia AI in Pharmaceutical Revenue by Type (2021-2026)
- 11.2.2 Asia AI in Pharmaceutical Revenue by Type (2027-2032)
- 11.3 Asia AI in Pharmaceutical Revenue Share by Type (2021-2032)
- 11.4 Asia AI in Pharmaceutical Revenue by Application (2021-2032)
- 11.4.1 Asia AI in Pharmaceutical Revenue by Application (2021-2026)
- 11.4.2 Asia AI in Pharmaceutical Revenue by Application (2027-2032)
- 11.5 Asia AI in Pharmaceutical Revenue Share by Application (2021-2032)
- 11.6 Asia AI in Pharmaceutical Revenue by Country
- 11.6.1 Asia AI in Pharmaceutical Revenue by Country (2021 VS 2025 VS 2032)
- 11.6.2 Asia AI in Pharmaceutical Revenue by Country (2021-2026)
- 11.6.3 Asia AI in Pharmaceutical 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 Pharmaceutical Revenue (2021-2032)
- 12.2 SAMEA AI in Pharmaceutical Revenue by Type (2021-2032)
- 12.2.1 SAMEA AI in Pharmaceutical Revenue by Type (2021-2026)
- 12.2.2 SAMEA AI in Pharmaceutical Revenue by Type (2027-2032)
- 12.3 SAMEA AI in Pharmaceutical Revenue Share by Type (2021-2032)
- 12.4 SAMEA AI in Pharmaceutical Revenue by Application (2021-2032)
- 12.4.1 SAMEA AI in Pharmaceutical Revenue by Application (2021-2026)
- 12.4.2 SAMEA AI in Pharmaceutical Revenue by Application (2027-2032)
- 12.5 SAMEA AI in Pharmaceutical Revenue Share by Application (2021-2032)
- 12.6 SAMEA AI in Pharmaceutical Revenue by Country
- 12.6.1 SAMEA AI in Pharmaceutical Revenue by Country (2021 VS 2025 VS 2032)
- 12.6.2 SAMEA AI in Pharmaceutical Revenue by Country (2021-2026)
- 12.6.3 SAMEA AI in Pharmaceutical 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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