Artificial intelligence (AI) in predictive toxicology refers to the use of machine learning, deep learning, and data analytics to predict the toxic effects of chemicals, drugs, and environmental substances on human health and biological systems. The primary purpose of artificial intelligence (AI) in predictive toxicology is to enhance the speed, accuracy, and efficiency of toxicity assessment while reducing ethical and financial burdens. It enables early identification of hazardous compounds, supports safer drug and chemical development, and improves regulatory decision-making through data-driven toxicity prediction.
The global artificial intelligence (AI) in predictive toxicology market reached a value of nearly $495.44 million in 2024, having grown at a compound annual growth rate (CAGR) of 30.62% since 2019. The market is expected to grow from $495.44 million in 2024 to $1,788.49 million in 2029 at a rate of 29.27%. The market is then expected to grow at a CAGR of 27.61% from 2029 and reach $6,051.34 million in 2034.
Rise In Demand For Precision Medicine
During the historic period, the artificial intelligence (AI) in predictive toxicology market was significantly driven by the rise in demand for precision medicine. Precision medicine emphasizes tailored treatments based on individual genetic profiles, necessitating advanced technologies for accurate diagnostics and personalized therapeutic strategies. AI-powered predictive toxicology tools have become integral in this paradigm, enabling the analysis of vast datasets to predict adverse drug reactions and optimize drug development processes. For instance, in October 2022, the Personalized Medicine Coalition, a US-based organization that represents scientists, patients and providers, promoting the understanding and adoption of personalized medicine to benefit patients and the healthcare system, estimated that more than 75,000 genetic testing products and 300 personalized medicines are on the market for people with multiple types of cancers, genetic rare diseases and a range of chronic and infectious diseases. Therefore, the rise in demand for precision medicine propelled the growth of the artificial intelligence (AI) in chip design market.
Launch Of AI-Driven Risk Assessment Platform To Enhance Drug Safety Predictions
Major companies in the artificial intelligence (AI) in predictive toxicology market are focusing on the development of AI-driven risk-assessment tools aimed at improving early-stage drug safety predictions. These innovations aim to reduce dependency on animal testing, accelerate the transition to clinical trials, and enhance decision-making in drug discovery. For instance, in September 2025, GATC Health, a US based technology company revolutionizing drug discovery and development, unveiled Derisq, an AI-driven platform introduced at Fierce Biotech Week 2025, that is designed to streamline the early stages of drug development by providing accurate toxicity predictions. The platform seeks to identify safety and off target risks early, thereby reducing the time, cost, and uncertainty associated with traditional preclinical testing. By offering actionable insights grounded in AI analysis, GATC Health aims to empower researchers, investors, and pharmaceutical developers with enhanced predictive confidence and efficiency in both domestic and global markets.
The global artificial intelligence (AI) in predictive toxicology market is fairly fragmented, with a large number of small players operating in the market. The top 10 competitors in the market made up 17.72% of the total market in 2024.
Artificial Intelligence (AI) In Predictive Toxicology Global Market Opportunities And Strategies To 2034 from The Business Research Company provides the strategists; marketers and senior management with the critical information they need to assess the global artificial intelligence (AI) in predictive toxicology market as it emerges from the COVID-19 shut down.
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Where is the largest and fastest-growing market for artificial intelligence (AI) in predictive toxicology? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The generative artificial intelligence (AI) in predictive toxicology market global report from The Business Research Company answers all these questions and many more.
The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market's history and forecasts market growth by geography. It places the market within the context of the wider artificial intelligence (AI) in predictive toxicology market; and compares it with other markets.
The report covers the following chapters
- Introduction And Market Characteristics - Brief introduction to the segmentations covered in the market, definitions and explanations about the segment by component, by technology, by toxicity endpoints and by end user.
- Key Trends - Highlights the major trends shaping the global market. This section also highlights likely future developments in the market.
- Growth Analysis And Strategic Analysis Framework- Analysis on PESTEL, end use industries, market growth rate, global historic (2019-2024) and forecast (2024-2029, 2034F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods, forecast growth contributors and total addressable market (TAM)
- Global Market Size And Growth - Global historic (2019-2024) and forecast (2024-2029, 2034F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods.
- Regional And Country Analysis - Historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison by region and country.
- Market Segmentation - Contains the market values (2019-2024) (2024-2029, 2034F) and analysis for each segment by component, by technology, by toxicity endpoints and by end user in the market. Historic (2019-2024) and forecast (2024-2029) and (2029-2034) market values and growth and market share comparison by region market.
- Regional Market Size And Growth - Regional market size (2024), historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
- Competitive Landscape - Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
- Other Major And Innovative Companies - Details on the company profiles of other major and innovative companies in the market.
- Competitive Benchmarking- Briefs on the financials comparison between major players in the market.
- Competitive Dashboard- Briefs on competitive dashboard of major players.
- Key Mergers And Acquisitions- Information on recent mergers and acquisitions in the market covered in the report. This section gives key financial details of mergers and acquisitions, which have shaped the market in recent years.
- Recent Developments- Information on recent developments in the market covered in the report.
- Market Opportunities And Strategies- Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
- Conclusions And Recommendations- This section includes recommendations for artificial intelligence (AI) in predictive toxicology providers in terms of product/service offerings geographic expansion, marketing strategies and target groups.
- Appendix- This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report.
Markets Covered:
- 1) By Component: Solution; Services
- 2) By Technology: Machine Learning; Natural Language Processing; Computer Vision; Other Technologies
- 3) By Toxicity Endpoints: Genotoxicity; Hepatotoxicity; Neurotoxicity; Cardiotoxicity; Other Toxicity Endpoints
- 4) By End User: Pharmaceutical And Biotechnology Companies; Chemical And Cosmetics; Contract Research Organizations; Other End Users
- Companies Mentioned: Simulations Plus Inc.; Certara Inc.; Schrodinger Inc.; Merative LP (formerly IBM Watson Health); BIOVIA (a Dassault Systemes company)
- Countries: China; Australia; India; Indonesia; Japan; South Korea; USA; Canada; Brazil; France; Germany; UK; Italy; Spain; Russia
- Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
- Time-series: Five years historic and ten years forecast.
- Data: Ratios of market size and growth to related markets; GDP proportions; expenditure per capita; artificial intelligence (AI) in predictive toxicology indicators comparison.
- Data segmentations: country and regional historic and forecast data; market share of competitors; market segments.
- Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.