Artificial Intelligence (AI) In Predictive Toxicology Market Forecast 2025-2034: Comprehensive Analysis And Growth Opportunities

The Artificial Intelligence (AI) In Predictive Toxicology Market Report by The Business Research Company delivers a detailed market assessment, covering size projections from 2025 to 2034. This report explores crucial market trends, major drivers and market segmentation by [key segment categories].

What Is the Projected Growth of the Artificial Intelligence (AI) In Predictive Toxicology Market?
The size of the market for artificial intelligence (AI) in predictive toxicology has seen a marked upswing in the last few years. It is projected to expand from $0.5 billion in 2024 to around $0.64 billion in 2025, signalling a compound annual growth rate (CAGR) of 30.0%. The substantial growth noted in the historical period is primarily due to an intensification in regulatory stress on toxicity evaluation, escalating worries about chemical safety, the procurement of vast datasets for model education, ascending objections and ethical considerations regarding animal testing, and the requirement for swifter and more economical toxicity screening procedures.

In the coming years, the market size of artificial intelligence (AI) in predictive toxicology is projected to experience robust growth, escalating to $1.84 billion by 2029 with a compound annual growth rate (CAGR) of 30.0%. This growth anticipated in the forecast period is tied to the advent of interpretable AI in toxicology predictions, an increased desire for customized toxicity evaluations, recognition and standardization of AI-based toxicity estimations by regulatory bodies, the upsurge in outsourcing services related to predictive toxicology, and expanded uses of AI in the landscape of drug discovery and development. During the forecast tenure, key trends will include a shift towards 3D cell culture systems for toxin testing, the rise of federated learning methods for joint toxicity prediction, the use of generative models to forecast chemical toxicity pathways, the incorporation of natural language processing for gleaning toxicity data from literary sources, as well as the growth of virtual screening platforms for prioritizing chemical testing.

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What Are the Different Artificial Intelligence (AI) In Predictive Toxicology Market Segments?
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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What Are the Primary Drivers Shaping the Artificial Intelligence (AI) In Predictive Toxicology Market?
The growth of artificial intelligence (AI) in predictive toxicology is anticipated to be propelled by the escalating demand for ethical and efficient drug discovery processes. These processes entail a complex and lively exploration, synthesis, and assessment of chemical compounds, all aimed at developing potential therapeutic agents to ease diseases and improve general health. Furthermore, these ethical and effective drug discovery procedures leverage advanced technology and emphasize responsible research practices, making them a prime demand in the face of rising chronic diseases, expanding personalization in medicine and an increase in age-related diseases. AI in predictive toxicology enhances these processes by competently scrutinizing massive datasets to predict possible toxicological results. Hence, AI expedites drug development while upholding ethical standards. For instance, the European Federation of Pharmaceutical Industries and Associations (EFPIA) stated that in June 2023, the total pharmaceutical research and development cost in Europe stood at $49,500 million (€44,500 million) in 2022, showing a rise of about 6.45% from $46,500 million (€42,533 million) in 2021. Consequently, the rising demand for ethical and effective drug discovery procedures is causing the artificial intelligence (AI) in predictive toxicology market to expand.

Which Companies Are Leading in 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 Are the Major Trends Shaping the Artificial Intelligence (AI) In Predictive Toxicology Market?
In the AI predictive toxicology market, many leading companies are strategically collaborating to boost their market presence and innovation. The key objective of these collaborations is to incorporate AI and machine learning techniques in enhancing the prediction and evaluation of the toxicity of chemical compounds and pharmaceuticals. For example, in January 2024, SyntheticGestalt, an AI research and development firm based in the UK that provides AI drug discovery services, strategically allied with Enamine, a Ukrainian company that supplies chemical building blocks, screening compounds, and comprehensive drug discovery services. The goal of this partnership was to create a series of AI models to enable the creation of synthetically accessible biologically active compounds, while optimizing their physicochemical and ADME or Tox (Absorption, Distribution, Metabolism, and Excretion or Toxicity) properties. These AI models would contribute to SyntheticGestalt's compound discovery efforts, serving academic users and pharmaceutical companies through their services. Enamine has allowed access to its extensive Enamine REAL database, which houses 38 billion molecules. SyntheticGestalt will incorporate this database into its Drug Discovery Service, using proprietary AI models to forecast the physicochemical and ADME or Tox properties of compounds. The service will quickly propose better alternative compounds for those that present problems.

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What Are the Top Revenue-Generating Geographies in 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.

Frequently Asked Questions:
1. What Is the Market Size and Growth Rate of the Artificial Intelligence (AI) In Predictive Toxicology Market?
2. What is the CAGR expected in the Artificial Intelligence (AI) In Predictive Toxicology Market?
3. What Are the Key Innovations Transforming the Artificial Intelligence (AI) In Predictive Toxicology Industry?
4. Which Region Is Leading the Artificial Intelligence (AI) In Predictive Toxicology Market?

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