Artificial Intelligence (AI) In Predictive Toxicology Market Forecast and Insights: Exploring Growth Trends, Market Size, and Emerging Opportunities
2025 Market Reports Update: Market Size Forecasts to 2034, Key Trends, Leading Players, and Top Regions – Get Ahead of the Competition Today!
How Are Key Drivers Contributing to the Growth and Expansion of the Artificial Intelligence (AI) In Predictive Toxicology Market?
The artificial intelligence (AI) in predictive toxicology market is anticipated to grow due to rising demand for efficient and ethical drug discovery processes. Drug discovery is a complex and fluid process within which chemical compounds are systematically examined, created, and assessed to find potential treatments to ameliorate illnesses and enhance general well-being. Efficient and ethical drug discovery, on the other hand, employs advanced technologies and adopts responsible research methods for the design of novel therapeutic agents. The need for these processes is fueled by increasing chronic illnesses, the growing interest in personalized medicine, and the escalating prevalence of age-related diseases. AI in predictive toxicology heightens the effectiveness of drug discovery by swiftly analyzing vast amounts of data to forecast possible toxicology outcomes, hence fast-tracking drug development while also ensuring that ethical norms are upheld. For instance, the European Federation of Pharmaceutical Industries and Associations (EFPIA), a Belgium-based trade group reflecting the interests of the pharmaceutical sector, stated in June 2023 that the overall pharmaceutical R&D expenditure in Europe came to $49,500 million (€44,500 million) in 2022, a rise of around 6.45% from $46,500 million (€42,533 million) in 2021. As such, it’s clear that the progressively escalating demand for efficient and ethically sound drug discovery processes is fueling the growth of the AI in predictive toxicology market.
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#How Will the CAGR of the Artificial Intelligence (AI) In Predictive Toxicology Market Influence Its Overall Growth by 2034?
The market size of artificial intelligence (AI) in predictive toxicology has witnessed an exponential surge in the past few years. Projected to expand from $0.5 billion in 2024 to $0.64 billion in 2025, it yields a compound annual growth rate (CAGR) of 30.0%. Factors that have contributed to the development during the historic period include higher regulatory scrutiny on toxicity assessment, heightened awareness about chemical safety, the presence of vast data sets for model training, the increase of costs and moral issues tied with animal testing, and the rising demand for quicker and more economical toxicity screening methods.
The market for artificial intelligence (AI) in predictive toxicology is projected to witness significant expansion in the coming years, growing to $1.84 billion in 2029 at a 30.0% compound annual growth rate (CAGR). This projected growth during the forecast period can be credited to the development of explainable AI in toxicology forecasts, the rising demand for customized toxicity evaluations, the regulatory approval and standardization of AI-driven toxicity forecasts, an increase in outsourcing services for predictive toxicology, and the broadening of AI applications in drug discovery and development. Key trends during this period will include a shift towards 3D cell culture models for toxicity examination, the rise of federated learning techniques for communal toxicity forecasts, the use of generative models to predict chemical toxicity routes, the application of natural language processing to gather toxicity data from literature, and the emergence of virtual screening platforms for chemical testing prioritization.
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What New Market Trends Are Reshaping theArtificial Intelligence (AI) In Predictive Toxicology Market and Its Opportunities?
Prominent companies in the AI predictive toxicology market are adopting strategies involving strategic alliances to strengthen their market position and drive innovation. The focus of these collaborations is to use AI and machine learning to enhance the prediction and evaluation of chemical and pharmaceutical toxicity. For example, in January 2024, UK-based AI drug discovery firm SyntheticGestalt partnered with Ukraine’s Enamine, which offers chemical building blocks and integrated drug discovery services. The partnership was aimed at creating AI models that streamline the production of biologically active, synthetically accessible compounds, while optimizing their physicochemical and ADME or Tox properties. These models will be applied in SyntheticGestalt’s compound discovery ventures, serving both academic entities and pharmaceutical firms through their services. Enamine made their comprehensive Enamine REAL database, with 38 billion molecules, accessible for this endeavor. SyntheticGestalt plans to incorporate this database into their Drug Discovery Service, making use of proprietary AI models to predict the physicochemical and ADME or Tox properties of compounds. The service will promptly propose better alternatives for compounds with issues.
Who Are the Leading Market Players Fueling Growth in the Artificial Intelligence (AI) In Predictive Toxicology Market Trend?
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.
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How is the Global Artificial Intelligence (AI) In Predictive Toxicology Market Segemented?
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
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Which Geographics are Influencing the Growth of the Artificial Intelligence (AI) In Predictive Toxicology Market?
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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