What’s Driving Growth in the Artificial Intelligence (AI) In Predictive Toxicology Market? Insights into Key Trends and Opportunities
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How has the artificial intelligence (ai) in predictive toxicology market grown in recent years?
There has been a significant expansion in the artificial intelligence (AI) in predictive toxicology market over the past few years. The market’s growth trajectory sees it increasing from $0.5 billion in 2024 to $0.64 billion in 2025, with a compound annual growth rate (CAGR) of 30.0%. This expansion in the previous period is linked to heightened regulatory scrutiny over toxicity assessment, mounting worries about the safety of chemicals, the accessibility of extensive datasets for model training, the surge in costs and ethical issues related to animal testing, and the necessity for quicker and more affordable methods of toxicity screening.
How is the artificial intelligence (ai) in remote patient monitoring market size expected to evolve during the forecast period?
There is expected to be a significant expansion in the size of the artificial intelligence (AI) in predictive toxicology market over the next few years, with projected growth to $1.84 billion in 2029 and an estimated compound annual growth rate (CAGR) of 30.0%. Key factors contributing to this growth during the forecast period include the introduction of explainable AI in toxicity forecasts, the increasing demand for individual toxicity evaluations, the regulatory approval and standardization of AI-driven toxicity predictions, the surge in outsourcing services for predictive toxicology, and the proliferation of AI’s role in drug discovery and development. Upcoming market trends for this period include the transition to 3D cell culture models for toxicity tests, the emergence of federated learning methodologies for cooperative toxicity forecasts, the use of generative models for forecasting chemical toxicity pathways, the inclusion of natural language processing for toxicity data extraction from academic sources, and the expansion of virtual screening platforms for prioritizing chemical tests.
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Which key drivers are propelling the artificial intelligence (ai) in predictive toxicology market’s growth?
The growth of artificial intelligence (AI) in the predictive toxicology market is set to be fueled by escalating demand for effective and ethical drug discovery procedures. Drug discovery, a complex and fluctuating process involving seamless exploration, synthesis, and review of chemical compounds to identify potential therapeutic agents for disease relief and general health improvement, necessitates the use of leading-edge technologies and the commitment to conscientious research practices. This surge in demand for efficient and ethical drug discovery is influenced by increasing chronic illnesses, a rising inclination towards personalized healthcare, and an escalating incidence of diseases linked to aging. AI’s role in predictive toxicology significantly optimizes the drug discovery process by evaluating large amounts of data to forecast potential toxicological results, thus speeding drug development and ensuring compliance with ethical norms. For example, the European Federation of Pharmaceutical Industries and Associations (EFPIA), a Belgium-based pharmaceutical industry representative, reported that total pharmaceutical R&D expenditure in Europe reached $49,500 million (€44,500 million) in 2022, marking an approximate increase of 6.45% from $46,500 million (€42,533 million) in 2021. Consequently, this rise in demand for efficient and ethical drug discovery is propelling the expansion of the AI in predictive toxicology market.
What are the market segments in the artificial intelligence (ai) in predictive toxicology industry?
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 leading companies are shaping the growth of the artificial intelligence (ai) in predictive toxicology market?
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.
What key trends are currently impacting the artificial intelligence (ai) in predictive toxicology market’s development?
Leading businesses in the AI predictive toxicology market are deploying strategic partnership tactics to strengthen their market foothold and spur innovation. These partnerships intend to harness AI and machine learning skills to enhance the forecasting and appraisal of the toxicity of chemical and pharmaceutical compounds. For example, in January 2024, the UK’s SyntheticGestalt, an AI research and development firm specializing in AI drug discovery solutions, formed an alliance with Enamine, a Ukrainian supplier of chemical building blocks, screening compounds, and comprehensive drug discovery services. They are working together to create AI models that facilitate the formation of biologically active compounds that are easily synthesized, maximizing their physicochemical and ADME or Tox attributes. SyntheticGestalt will use these models for their compound discovery ventures, serving both academia and the pharmaceutical industry through their services. Enamine has offered access to its expansive Enamine REAL database, which contains 38 billion molecules. SyntheticGestalt will incorporate this database into its Drug Discovery Service, using proprietary AI models to estimate the physicochemical and ADME or Tox characteristics of compounds. This service will swiftly propose superior substitute compounds to replace those with problems.
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Which geographic areas 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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