Artificial Intelligence (AI) In Predictive Toxicology Market Growth Accelerates: Strategic Forecast Predicts $1.84 Billion by 2029

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What Will the Artificial Intelligence (AI) In Predictive Toxicology Industry Market Size Be by 2025?
In the past few years, the market size for artificial intelligence (AI) in predictive toxicology has seen a substantial surge. Its anticipated growth trajectory suggests a rise from $0.5 billion in 2024 to $0.64 billion the following year, marking a compound annual growth rate (CAGR) of 30.0%. Several factors propel this growth in the historic period, including intensifying regulatory pressures surrounding toxicity assessment, escalating apprehensions about chemical safety, the presence of substantial datasets for model training, increasing cost and ethical debates related to animal testing, and the necessity for faster, more economical toxicity screening methods.

What's the Long-Term Growth Forecast for the Artificial Intelligence (AI) In Predictive Toxicology Market Size Through 2029?
The predicted toxicology market concerning artificial intelligence (AI) is slated for immense growth in the upcoming years, anticipated to reach $1.84 billion in 2029 with a compound annual growth rate (CAGR) of 30.0%. This anticipated growth can be linked to the rise of explainable AI in predicting toxicology, the increasing need for individualized toxicity assessments, the normalization and regulatory approval of AI-facilitated toxicity predictions, the surge in predictive toxicology outsourcing services, and the growth in the utilization of AI in pharmaceutical discovery and formulation. Key trends in the forecasted period include the inclination toward 3D cell culture models for toxicity tests, the emergence of cooperative toxicity prediction through federated learning approaches, the use of generative models to predict chemical toxicity pathways, the integration of natural language processing for the extraction of toxicity data from literature, and the expansion of virtual screening platforms for chemical testing prioritization.

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What Are the Key Growth Drivers Fueling the Artificial Intelligence (AI) In Predictive Toxicology Market Expansion?
The surge in the need for proficient and ethical medicinal discovery procedures is projected to boost the expansion of the artificial intelligence (AI) in predictive toxicology market. The complex and evolving process of drug discovery necessitates systematic investigation, creation, and review of chemical compounds to unearth potential healing agents that can alleviate illnesses and boost overall health, while proficient and ethical drug discovery entails the use of cutting-edge technologies and emphasizes responsible research to create new therapeutic agents. The upsurge in chronic illnesses, the rising trend of personalized medicine, and an increased prevalence of diseases related to aging propel the demand for proficient and ethical medicinal discovery procedures. Artificial intelligence (AI) in predictive toxicology enriches this process by effectively examining extensive data to estimate possible toxicological results, thus expediting drug creation while upholding ethical norms. For example, in June 2023, the European Federation of Pharmaceutical Industries and Associations (EFPIA), based in Belgium, stated that the total R&D expenditure on pharmaceuticals in Europe amounted to $49,500 million (€44,500 million) in 2022, around 6.45% up from $46,500 million (€42,533 million) in 2021. Consequently, the escalating demand for proficient and ethical medicinal discovery procedures propels the growth of the artificial intelligence (AI) in predictive toxicology market.

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What Are the Key Trends Driving Artificial Intelligence (AI) In Predictive Toxicology Market Growth?
Major businesses in the AI predictive toxicology industry are engaging in strategic partnerships to bolster their market standing and foster innovation. The aim of these collaborations is to draw on artificial intelligence and machine learning to better predict and assess the toxicity of chemical substances and medicines. For instance, SyntheticGestalt, a UK AI research and development firm specializing in AI drug discovery, teamed up with Ukraine-based Enamine, a supplier of chemical building blocks, screening compounds, and comprehensive drug discovery services, in January 2024. The ultimate goal of the partnership is to create a variety of AI models for generating synthetically accessible biologically active compounds, and to refine their physical, chemical and ADME or Tox (Absorption, Distribution, Metabolism, and Excretion or Toxicity) properties. SyntheticGestalt will apply these models in its compound discovery efforts, serving both academic and pharmaceutical entities. Enamine has provided access to its expansive Enamine REAL database, which hosts 38 billion molecules. The database will be incorporated into SyntheticGestalt's Drug Discovery Service, leveraging proprietary AI models to foresee physical, chemical, and ADME or Tox characteristics of compounds. Any problematic compounds will promptly be replaced with superior alternatives by the service.

How Is the Artificial Intelligence (AI) In Predictive Toxicology Market Segmented?
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 Companies Are Leading the Charge in Artificial Intelligence (AI) In Predictive Toxicology Market Innovation?
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 Regions Are Leading the Global Artificial Intelligence (AI) In Predictive Toxicology Market in Revenue?
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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