Dublin, April 29, 2026 (GLOBE NEWSWIRE) — The “AI in Predictive Toxicology Market Report 2026” has been added to ResearchAndMarkets.com’s offering.
The artificial intelligence (AI) in predictive toxicology market is poised for robust expansion, forecasted to reach $2.29 billion by 2030 from an estimated $0.83 billion in 2026, reflecting a CAGR of 28.9%. This growth is driven by increased adoption of AI-driven predictive models, cloud-based platforms, and integration of genomics with chemical data. Rising collaborations between pharmaceutical and biotech companies further amplify demand for rapid chemical safety assessments.
Shifts toward efficient and ethical drug discovery are shaping market dynamics. The demand stems from the prevalence of chronic diseases, personalized medicine, and aging-related health issues. AI in predictive toxicology accelerates drug development by predicting potential toxicological outcomes, as evidenced by the UK’s increase in R&D spending to £17.4 billion in 2023.
Strategic collaborations are key to enhancing innovation and market presence. In 2024, SyntheticGestalt’s partnership with Enamine aims to advance AI models for drug discovery, utilizing Enamine’s vast database of 38 billion molecules. Similarly, Certara Inc.’s acquisition of Chemaxon Ltd. aims to strengthen drug development capabilities through advanced cheminformatics solutions.
Leading companies like Certara Inc, Schrodinger Inc, and others are at the forefront, leveraging AI to improve chemical safety assessments and predict drug toxicity. North America dominates the market, but Asia-Pacific is projected as the fastest-growing region. Countries of focus include the USA, UK, China, and others.
Tariffs affecting imports of high-performance computing hardware have increased operational costs, particularly in North America and Europe. This challenge, however, has spurred local innovation by encouraging domestic manufacturing of AI tools, potentially reducing foreign dependency.
The AI in predictive toxicology market comprises software solutions and services designed for data analysis, leveraging machine learning and natural language processing to support drug development and chemical safety evaluations across various endpoints like genotoxicity and neurotoxicity. End users span pharmaceutical, biotechnology, chemical, and cosmetics sectors, alongside contract research organizations.
In conclusion, the AI in predictive toxicology market report offers a comprehensive view including global market size, regional shares, competitive landscape, market segments, and trend analysis. As advancements continue to unfold, stakeholders in the AI and toxicology sectors can look forward to significant developments and opportunities.
Key Attributes:
| Report Attribute | Details |
| No. of Pages | 250 |
| Forecast Period | 2026 – 2030 |
| Estimated Market Value (USD) in 2026 | $0.83 Billion |
| Forecasted Market Value (USD) by 2030 | $2.29 Billion |
| Compound Annual Growth Rate | 28.9% |
| Regions Covered | Global |
Key Technologies & Future Trends
- Integration of Multi-Omics Data for Toxicity Prediction
- in Silico Drug Toxicity Modeling
- High-Throughput Toxicological Screening
- AI-Driven Chemical Prioritization
- Cloud-Based Toxicology Data Management
- Artificial Intelligence & Autonomous Intelligence
- Biotechnology, Genomics & Precision Medicine
- Digitalization, Cloud, Big Data & Cybersecurity
- Industry 4.0 & Intelligent Manufacturing
- Internet of Things (IoT), Smart Infrastructure & Connected Ecosystems
Companies Featured
- Certara Inc
- Schrodinger Inc
- Instem plc
- Simulations Plus Inc
- Lhasa Limited
- Chemaxon Ltd
- Algorithme Pharma
- Benevolent AI
- Berg Health
- Biovista Inc
- Recursion Pharmaceuticals Inc
- Exscientia plc
- Insilico Medicine Inc
- Celsius Therapeutics Inc
- ArisGlobal
- Merative L.P.
- BioTeam Inc
- Leadscope Inc
- MultiCASE Inc
- ACD Labs
- Optibrium Ltd
- Chemotargets SL
- Toxys BV
For more information about this report visit https://www.researchandmarkets.com/r/km4ute
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- AI in Predictive Toxicology Market
