AI in Predictive Toxicology Market Size, Share, and Trends 2026 to 2035

AI in Predictive Toxicology Market (By Technology: Classical Machine Learning, Deep Learning, Physics-Based & Molecular Modelling, Others (Hybrid AI, Knowledge Graphs, Generative AI) ; By Toxicity Endpoint: Systemic Toxicity, Hepatotoxicity, Cardiotoxicity, Neurotoxicity, Genotoxicity; By Deployment Model: On-Premises Platforms, Cloud-Based Platforms, By End User: Pharmaceutical & Biotechnology Companies, Contract Research Organizations (CROs), Chemical & Cosmetics Companies, Academic & Research Institutes) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2026 to 2035

Last Updated : 19 Mar 2026  |  Report Code : 8173  |  Category : ICT   |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on AI in Predictive Toxicology Market 

5.1. COVID-19 Landscape: AI in Predictive Toxicology Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global AI in Predictive Toxicology Market, By Technology

8.1. AI in Predictive Toxicology Market, by Technology

8.1.1. Classical Machine Learning 

8.1.1.1. Market Revenue and Forecast

8.1.2. Deep Learning 

8.1.2.1. Market Revenue and Forecast

8.1.3. Physics-Based & Molecular Modelling 

8.1.3.1. Market Revenue and Forecast

8.1.4. Others (Hybrid AI, Knowledge Graphs, Generative AI) 

8.1.4.1. Market Revenue and Forecast

Chapter 9. Global AI in Predictive Toxicology Market, By Toxicity Endpoint

9.1. AI in Predictive Toxicology Market, by Toxicity Endpoint

9.1.1. Systemic Toxicity 

9.1.1.1. Market Revenue and Forecast

9.1.2. Hepatotoxicity 

9.1.2.1. Market Revenue and Forecast

9.1.3. Cardiotoxicity 

9.1.3.1. Market Revenue and Forecast

9.1.4. Neurotoxicity 

9.1.4.1. Market Revenue and Forecast

Chapter 10. Global AI in Predictive Toxicology Market, By Deployment Model 

10.1. AI in Predictive Toxicology Market, by Deployment Model

10.1.1. On-Premises Platforms 

10.1.1.1. Market Revenue and Forecast

10.1.2. Cloud-Based Platforms

10.1.2.1. Market Revenue and Forecast

Chapter 11. Global AI in Predictive Toxicology Market, By End User 

11.1. AI in Predictive Toxicology Market, by End User

11.1.1. Pharmaceutical & Biotechnology Companies  

11.1.1.1. Market Revenue and Forecast

11.1.2. Contract Research Organizations (CROs) 

11.1.2.1. Market Revenue and Forecast

11.1.3. Chemical & Cosmetics Companies 

11.1.3.1. Market Revenue and Forecast

11.1.4. Academic & Research Institutes

11.1.4.1. Market Revenue and Forecast

Chapter 12. Global AI in Predictive Toxicology Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Technology

12.1.2. Market Revenue and Forecast, by Toxicity Endpoint

12.1.3. Market Revenue and Forecast, by Deployment Model

12.1.4. Market Revenue and Forecast, by End User

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Technology

12.1.5.2. Market Revenue and Forecast, by Toxicity Endpoint

12.1.5.3. Market Revenue and Forecast, by Deployment Model

12.1.5.4. Market Revenue and Forecast, by End User

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Technology

12.1.6.2. Market Revenue and Forecast, by Toxicity Endpoint

12.1.6.3. Market Revenue and Forecast, by Deployment Model

12.1.6.4. Market Revenue and Forecast, by End User

12.2. Europe

12.2.1. Market Revenue and Forecast, by Technology

12.2.2. Market Revenue and Forecast, by Toxicity Endpoint

12.2.3. Market Revenue and Forecast, by Deployment Model

12.2.4. Market Revenue and Forecast, by End User

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Technology

12.2.5.2. Market Revenue and Forecast, by Toxicity Endpoint

12.2.5.3. Market Revenue and Forecast, by Deployment Model

12.2.5.4. Market Revenue and Forecast, by End User

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Technology

12.2.6.2. Market Revenue and Forecast, by Toxicity Endpoint

12.2.6.3. Market Revenue and Forecast, by Deployment Model

12.2.6.4. Market Revenue and Forecast, by End User

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Technology

12.2.7.2. Market Revenue and Forecast, by Toxicity Endpoint

12.2.7.3. Market Revenue and Forecast, by Deployment Model

12.2.7.4. Market Revenue and Forecast, by End User

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Technology

12.2.8.2. Market Revenue and Forecast, by Toxicity Endpoint

12.2.8.3. Market Revenue and Forecast, by Deployment Model

12.2.8.4. Market Revenue and Forecast, by End User

12.3. APAC

12.3.1. Market Revenue and Forecast, by Technology

12.3.2. Market Revenue and Forecast, by Toxicity Endpoint

12.3.3. Market Revenue and Forecast, by Deployment Model

12.3.4. Market Revenue and Forecast, by End User

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Technology

12.3.5.2. Market Revenue and Forecast, by Toxicity Endpoint

12.3.5.3. Market Revenue and Forecast, by Deployment Model

12.3.5.4. Market Revenue and Forecast, by End User

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Technology

12.3.6.2. Market Revenue and Forecast, by Toxicity Endpoint

12.3.6.3. Market Revenue and Forecast, by Deployment Model

12.3.6.4. Market Revenue and Forecast, by End User

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Technology

12.3.7.2. Market Revenue and Forecast, by Toxicity Endpoint

12.3.7.3. Market Revenue and Forecast, by Deployment Model

12.3.7.4. Market Revenue and Forecast, by End User

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Technology

12.3.8.2. Market Revenue and Forecast, by Toxicity Endpoint

12.3.8.3. Market Revenue and Forecast, by Deployment Model

12.3.8.4. Market Revenue and Forecast, by End User

12.4. MEA

12.4.1. Market Revenue and Forecast, by Technology

12.4.2. Market Revenue and Forecast, by Toxicity Endpoint

12.4.3. Market Revenue and Forecast, by Deployment Model

12.4.4. Market Revenue and Forecast, by End User

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Technology

12.4.5.2. Market Revenue and Forecast, by Toxicity Endpoint

12.4.5.3. Market Revenue and Forecast, by Deployment Model

12.4.5.4. Market Revenue and Forecast, by End User

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Technology

12.4.6.2. Market Revenue and Forecast, by Toxicity Endpoint

12.4.6.3. Market Revenue and Forecast, by Deployment Model

12.4.6.4. Market Revenue and Forecast, by End User

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Technology

12.4.7.2. Market Revenue and Forecast, by Toxicity Endpoint

12.4.7.3. Market Revenue and Forecast, by Deployment Model

12.4.7.4. Market Revenue and Forecast, by End User

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Technology

12.4.8.2. Market Revenue and Forecast, by Toxicity Endpoint

12.4.8.3. Market Revenue and Forecast, by Deployment Model

12.4.8.4. Market Revenue and Forecast, by End User

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Technology

12.5.2. Market Revenue and Forecast, by Toxicity Endpoint

12.5.3. Market Revenue and Forecast, by Deployment Model

12.5.4. Market Revenue and Forecast, by End User

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Technology

12.5.5.2. Market Revenue and Forecast, by Toxicity Endpoint

12.5.5.3. Market Revenue and Forecast, by Deployment Model

12.5.5.4. Market Revenue and Forecast, by End User

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Technology

12.5.6.2. Market Revenue and Forecast, by Toxicity Endpoint

12.5.6.3. Market Revenue and Forecast, by Deployment Model

12.5.6.4. Market Revenue and Forecast, by End User

Chapter 13. Company Profiles

13.1. Schrödinger

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Certara

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Simulations Plus

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. Dassault Systèmes BIOVIA

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. Charles River Laboratories

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Clarivate

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Insilico Medicine

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. Exscientia

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Benevolent AI

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. Recursion Pharmaceuticals

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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Frequently Asked Questions

Answer : The AI in predictive toxicology market size is expected to increase from USD 280 million in 2025 to USD 2,255.62 million by 2035.

Answer : The AI in predictive toxicology market is expected to grow at a compound annual growth rate (CAGR) of around 23.2% from 2026 to 2035.

Answer : The major players in the AI in predictive toxicology market include Schrödinger, Certara, Simulations Plus, Dassault Systèmes BIOVIA, Charles River Laboratories, Clarivate, Insilico Medicine, Exscientia, Benevolent AI, Recursion Pharmaceuticals, Instem, Lhasa Limited, MultiCASE, Optibrium, and Valo Health

Answer : The driving factors of the AI in predictive toxicology market are the increasing demand for cost-effective and ethically conducted methods over traditional animal testing, along with the advancement in machine learning.

Answer : North America region will lead the global AI in predictive toxicology market during the forecast period 2026 to 2035.

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