Artificial Intelligence (AI) In Predictive Toxicology Industry Poised for Rapid Expansion, Projected to Hit $1.83 Billion by 2029
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What Is the Outlook for the Artificial Intelligence (AI) In Predictive Toxicology Market Heading Into 2029?
The market size of artificial intelligence (AI) in predictive toxicology has seen immense growth of late. The market is expected to expand from $0.5 billion in 2024 to $0.64 billion in 2025, with a compound annual growth rate (CAGR) of 29.5%. Factors that have contributed to the growth in the historical period include increased regulatory expectations for toxicity evaluation, greater awareness regarding chemical safety risks, the presence of extensive datasets valuable for model training, growing expenses and ethical issues related to animal testing, and demand for more rapid, cost-efficient toxicity screening procedures.
The growth projections for the artificial intelligence (AI) in predictive toxicology market are truly impressive. It is believed that the market will skyrocket to “$1.83 billion by the end of 2029, increasing at a compound annual growth rate (CAGR) of 29.9%.” Certain elements are propelling this surge, including the adoption of explainable AI in toxicology predictions, an increasing demand for individualized toxicity evaluations and the regulatory acceptance of AI-based toxicity predictions. This is in addition to the enlargement of AI applications in pharmaceutical research and the rise of predictive toxicology outsourcing services. Future trends likely to dominate this period are a shift to 3D cell culture methods for toxicity exams, an increase in federated learning approaches for shared toxicity predictions, and the uses of generative models in predicting chemical toxicity paths. Additionally, the integration of natural language processing for gleaning toxicity data from documentation, and the advancement of virtual screening platforms for choosing chemical testing, are also anticipated.
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Which Factors Are Pushing The Artificial Intelligence (AI) In Predictive Toxicology Market Forward?
Anticipated growth in the artificial intelligence (AI) in predictive toxicology market is largely due to the rising necessity for efficient and ethical drug discovery methods. Drug discovery is a multifaceted and evolving procedure involving the detailed study, production, and assessment of chemical compounds in order to unearth viable therapeutic agents for disease relief and general health improvement. This advanced and responsible approach to drug discovery is motivated by the growing prevalence of chronic illnesses, the emerging trend toward personalized medicine and an increase in age-related diseases. AI in predictive toxicology enhances drug discovery by proficiently examining extensive datasets to anticipate potential toxicological results, thus expediting the drug development process while upholding ethical practices. As an illustration, in June 2023, the pharmaceutical R&D expenditure in Europe was reported to be $49,500 million (€44,500 million), a roughly 6.45% increase from $46,500 million (€42,533 million) in 2021, according to the European Federation of Pharmaceutical Industries and Associations (EFPIA), a Belgium-based pharmaceutical industry trade association. This growing necessity for efficient and ethical drug discovery procedures, therefore, is fueling the rise of AI in predictive toxicology market.
The artificial intelligence (ai) in predictive toxicology market covered in this report is segmented –
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
Subsegments:
1) By Solution: Software Platforms, Data Analysis Tools, Predictive Modeling Solutions, Database And Information Systems
2) By Services: Consulting Services, Training And Support Services, Data Management And Integration Services, Research And Development Services
What Long-Term Trends Are Likely To Affect The Artificial Intelligence (AI) In Predictive Toxicology Market?
Key players in the AI predictive toxicology sector are embracing tactical partnerships for innovation and expanding their market footprint. The objective is to leverage artificial intelligence and machine learning methodologies to enhance the prediction and evaluation of chemical and pharmaceutical toxicity. For instance, in January 2024, SyntheticGestalt, a UK-based firm specializing in AI research and development for drug discovery, inked a partnership with Enamine, a Ukraine-based supplier of chemical building blocks, screening components, and integrated drug discovery services. The partnership aims to create AI models that will streamline the creation of biologically active compounds that are synthetically accessible, optimizing their physicochemical and ADME or Tox attributes. These models will be utilized in SyntheticGestalt’s compound discovery ventures, providing services to both academic entities and pharmaceutical companies. Enamine has granted access to its comprehensive Enamine REAL database, which houses 38 billion molecules. SyntheticGestalt plans to incorporate this database into its Drug Discovery Service, using proprietary AI models to estimate the physicochemical and ADME or Tox attributes of compounds. The service will immediately propose superior alternatives for compounds with issues.
Which Organizations Are Driving Progress In The Artificial Intelligence (AI) In Predictive Toxicology Industry?
Major companies operating in the artificial intelligence (AI) in predictive toxicology market are Laboratory Corporation of America Holdings (LabCorp), Eurofins Scientific SE, Wuxi AppTec, Charles River Laboratories International, Medidata Solutions Inc., Certara Inc., Schrödinger, Merative L.P., Molecular Devices LLC, Envigo (Inotiv Inc.), Instem plc, Simulations Plus, Cyprotex, Recursion Pharmaceuticals, Exscientia PLC, BIOVIA Corporation, Lhasa Limited, Chemaxon Ltd., Insilico Medicine Inc., Algorithme Pharma, CiToxLAB, ArisGlobal, Benevolent AI, Berg Health, Cyclica Therapeutics Inc., Celsius Therapeutics, Biovista Inc., BioTeam Inc.
Which Region Is Expected To Experience The Highest Growth In The Artificial Intelligence (AI) In Predictive Toxicology Industry?
North America was the largest region in the artificial intelligence (AI) in predictive toxicology market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in predictive toxicology market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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