Artificial Intelligence (AI) in Precision Livestock Farming Market Report 2025

This report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

The artificial intelligence (AI) in predictive toxicology market size has grown exponentially in recent years. It will grow from $0.5 billion in 2024 to $0.64 billion in 2025 at a compound annual growth rate (CAGR) of 30%. The growth in the historic period can be attributed to increasing regulatory pressure for toxicity assessment, growing concerns about chemical safety, availability of large datasets for model training, rising costs and ethical concerns associated with animal testing, demand for faster and more cost-effective toxicity screening methods.

The artificial intelligence (AI) in predictive toxicology market size is expected to see exponential growth in the next few years. It will grow to $1.84 billion in 2029 at a compound annual growth rate (CAGR) of 30%. The growth in the forecast period can be attributed to emergence of explainable artificial intelligence (AI) in toxicology predictions, demand for personalized toxicity assessments, regulatory acceptance and standardization of AI-based toxicity predictions, rise in predictive toxicology outsourcing services, expansion of AI applications in drug discovery and development. Major trends in the forecast period include shift towards 3D cell culture models for toxicity testing, rise of federated learning approaches for collaborative toxicity prediction, application of generative models for predicting chemical toxicity pathways, incorporation of natural language processing for extracting toxicity data from literature, growth of virtual screening platforms for prioritizing chemical testing.

The increasing demand for efficient and ethical drug discovery processes is poised to propel the growth of the artificial intelligence (AI) in predictive toxicology market in the foreseeable future. Drug discovery, a complex and dynamic process, involves the systematic exploration, synthesis, and evaluation of chemical compounds to identify potential therapeutic agents for alleviating diseases and enhancing overall well-being. Efficient and ethical drug discovery processes prioritize responsible research practices and leverage advanced technologies to develop new therapeutic agents. This demand is driven by the rising prevalence of chronic diseases, the growing trend towards personalized medicine, and an increased incidence of age-related diseases. Artificial intelligence (AI) in predictive toxicology enhances drug discovery processes by efficiently analyzing extensive datasets to predict potential toxicological outcomes, thereby accelerating drug development while ensuring adherence to ethical standards. For example, according to the European Federation of Pharmaceutical Industries and Associations (EFPIA), the total pharmaceutical R&D expenditure in Europe reached $49.5 billion (€44,500 million) in 2022, marking a 6.45% increase from $46.5 billion (€42,533 million) in 2021. Consequently, the escalating demand for efficient and ethical drug discovery processes drives the growth of the artificial intelligence (AI) in predictive toxicology market.

Major players in the artificial intelligence (AI) predictive toxicology market are embracing strategic collaboration approaches to enhance their market presence and foster innovation. These collaborations aim to leverage AI and machine learning techniques to improve the prediction and assessment of the toxicity of chemical compounds and pharmaceuticals. For instance, in January 2024, SyntheticGestalt, a UK-based AI research and development company specializing in AI drug discovery solutions, partnered with Enamine, a Ukraine-based provider of chemical building blocks, screening compounds, and integrated drug discovery services. Together, they aim to develop a set of AI models facilitating the generation of synthetically accessible biologically active compounds and optimizing their physicochemical and ADME or Tox (Absorption, Distribution, Metabolism, and Excretion or Toxicity) properties. SyntheticGestalt will integrate Enamine's extensive Enamine REAL database, containing 38 billion molecules, into its Drug Discovery Service, utilizing proprietary AI models to predict the physicochemical and ADME or Tox properties of compounds and suggest improved alternative compounds for those with issues. Through these collaborative efforts, SyntheticGestalt and Enamine aim to advance drug discovery processes and cater to both academic users and pharmaceutical companies with their innovative services.

In October 2024, Certara, Inc., a US-based pharmaceutical company that offers drug development software and services, acquired Chemaxon Ltd. for an undisclosed amount. This acquisition is intended to strengthen Certara's drug development capabilities by incorporating advanced cheminformatics software to enhance predictive accuracy and streamline the drug discovery process. Chemaxon Ltd., based in Hungary, is an IT company that focuses on cheminformatics solutions, which are essential for drug discovery and predictive toxicology.

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.

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. The countries covered in the artificial intelligence (ai) in predictive toxicology market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Artificial intelligence (AI) in predictive toxicology market includes revenues earned by entities by providing services such as toxicity prediction modeling, risk assessment, chemical prioritization, and toxicity data analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

Artificial Intelligence (AI) in predictive toxicology entails leveraging AI techniques to analyze biological, chemical, and environmental data, predicting the potential toxicity of chemicals and compounds. Its application expedites chemical safety assessments, forecasts drug toxicity, and facilitates the prioritization of chemicals for further testing.

The primary components of AI in predictive toxicology encompass solutions and services. Solutions comprise software platforms or systems engineered to analyze data and forecast toxicological outcomes. These solutions employ advanced algorithms and models to evaluate the potential risks of chemical compounds, providing comprehensive tools for toxicity prediction and risk assessment. They play a crucial role in aiding drug development and evaluating chemical safety. Incorporating various technologies such as machine learning, natural language processing, and computer vision, these solutions cater to diverse toxicity endpoint applications including genotoxicity, hepatotoxicity, neurotoxicity, and cardiotoxicity. These are utilized across various sectors including pharmaceutical and biotechnology firms, chemical and cosmetics companies, and contract research organizations.

The artificial intelligence (AI) in predictive toxicology research report is one of a series of new reports that provides artificial intelligence (AI) in predictive toxicology market statistics, including the artificial intelligence (AI) in predictive toxicology industry's global market size, regional shares, competitors with an artificial intelligence (AI) in predictive toxicology market share, detailed artificial intelligence (AI) in predictive toxicology market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in predictive toxicology industry. This artificial intelligence (AI) in predictive toxicology market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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