Report Content
Chapter 1 Methodology & Scope
1.1 Market scope & definition
1.2 Base estimates & calculations
1.3 Forecast calculation
1.4 Data Sources
1.4.1 Primary
1.4.2 Secondary
1.4.2.1 Paid sources
1.4.2.2 Public sources
Chapter 2 Executive Summary
2.1 AI in predictive toxicology market 3600 synopsis, 2018 - 2032
2.2 Business trends
2.2.1 Total Addressable Market (TAM), 2023-2032
2.3 Regional trends
2.4 Component trends
2.5 Technology trends
2.6 Toxicity endpoints trends
2.7 End-user trends
Chapter 3 AI in Predictive Toxicology Industry Insights
3.1 Impact on COVID-19
3.2 Industry ecosystem analysis
3.3 Vendor matrix
3.4 Profit margin analysis
3.5 Technology innovation landscape
3.6 Patent analysis
3.7 Key news and initiatives
3.8 Regulatory landscape
3.9 Impact forces
3.9.1 Growth drivers
3.9.1.1 Rising investments in pharmaceutical AI startups
3.9.1.2 Increased demand for efficient drug development
3.9.1.3 Advancements in AI technologies
3.9.1.4 Growing need for efficient screening of chemical compounds
3.9.1.5 Rising concerns about chemical safety
3.9.2 Industry pitfalls & challenges
3.9.2.1 Insufficient or poor-quality data compromising the accuracy of predictive models
3.9.2.2 Complexity in the integration of AI models
3.10 Growth potential analysis
3.11 Porter’s analysis
3.12 PESTEL analysis
Chapter 4 Competitive Landscape, 2022
4.1 Introduction
4.2 Company market share, 2022
4.3 Competitive analysis of major market players, 2022
4.3.1 Benevolent AI
4.3.2 Chemaxon Ltd.
4.3.3 Exscientia PLC
4.3.4 Insilico Medicine
4.3.5 Instem plc
4.3.6 Lhasa Limited
4.3.7 Recursion Pharmaceuticals
4.4 Competitive positioning matrix, 2022
4.5 Strategic outlook matrix, 2022
Chapter 5 AI in Predictive Toxicology Market Estimates & Forecast, by Component (Revenue)
5.1 Key trends, by component
5.2 Solution
5.3 Services
Chapter 6 AI in Predictive Toxicology Market Estimates & Forecast, By Technology (Revenue)
6.1 Key trends, by technology
6.2 Machine learning
6.3 Natural language processing
6.4 Computer vision
6.5 Others
Chapter 7 AI in Predictive Toxicology Market Estimates & Forecast, By Toxicity Endpoints (Revenue)
7.1 Key trends, by toxicity endpoints
7.2 Genotoxicity
7.3 Hepatotoxicity
7.4 Neurotoxicity
7.5 Cardiotoxicity
7.6 Others
Chapter 8 AI in Predictive Toxicology Market Estimates & Forecast, By End-User (Revenue)
8.1 Key trends, by end-user
8.2 Pharmaceutical and biotechnology companies
8.3 Chemical and cosmetics
8.4 Contract research organizations
8.5 Others
Chapter 9 AI in Predictive Toxicology Market Estimates & Forecast, By Region
9.1 Key trends, by region
9.2 North America
9.2.1 U.S.
9.2.2 Canada
9.3 Europe
9.3.1 UK
9.3.2 Germany
9.3.3 France
9.3.4 Italy
9.3.5 Spain
9.3.6 Russia
9.3.7 Nordics
9.4 Asia Pacific
9.4.1 China
9.4.2 India
9.4.3 Japan
9.4.4 South Korea
9.4.5 ANZ
9.4.6 Southeast Asia
9.5 Latin America
9.5.1 Brazil
9.5.2 Mexico
9.5.3 Argentina
9.6 MEA
9.6.1 South Africa
9.6.2 Saudi Arabia
9.6.3 UAE
Chapter 10 Company Profiles
10.1 Arctoris
10.2 Atomwise
10.3 BenevolentAI
10.4 Berg Health
10.5 Biovista
10.6 Celsius Therapeutics
10.7 Chemaxon Ltd.
10.8 Cyclica
10.9 Exscientia
10.10 Insilico Biotechnology AG
10.11 Insilico Medicine
10.12 Instem
10.13 Lhasa Limited
10.14 Nuritas
10.15 Optibrium Ltd.
10.16 Recursion Pharmaceuticals
10.17 Simulations Plus, Inc.
