Artificial Intelligence (AI) In Predictive Toxicology Market Analysis: Key Insights on Growth Rates, Trends, and Major Opportunities
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What is the Predicted CAGR for the Artificial Intelligence (AI) In Predictive Toxicology Market Over the Forecast Period of 2025 to 2034?
The market size of artificial intelligence (AI) within predictive toxicology has seen a significant surge in growth in the past few years. An expansion from $0.5 billion in 2024 to $0.64 billion in 2025, with a compound annual growth rate (CAGR) of 30.0% is expected to be witnessed. The phenomenal growth in the historic period is due to reasons such as intensified regulatory scrutiny for toxicity evaluations, escalating worries concerning chemical safety, the accessibility of substantial datasets for model training, mounting costs and ethical issues linked to animal testing, along with the desire for more rapid and economical toxicity screening procedures.
Predicted surges in the artificial intelligence (AI) applied in predictive toxicology market are slated to be substantial over the coming years, with projections indicating a growth to $1.84 billion by 2029, indicating a compound annual growth rate (CAGR) of 30.0%. Factors such as the introduction of explainable AI in toxicological forecasting, the demand for custom toxicity evaluations, acceptance, and normalization of AI-backed toxicity predictions by regulatory bodies, increase in outsourcing services for predictive toxicology, and the broadening of AI usage in drug discovery and development contribute to this escalation during the forecast period. Key trends anticipated during this time include a transition to 3D cell culture models for toxicity tests, the rise of cooperative toxicity prediction through federated learning strategies, the use of generative models for anticipating chemical toxicity pathways, the adoption of natural language processing for collating toxicity data from scholarly literature, and the expansion of virtual screening platforms for prioritizing chemical analysis.
What Market Dynamics Are Playing a Key Role in Accelerating the Growth of the artificial intelligence (ai) in predictive toxicology Market?
The growth of artificial intelligence (AI) in predictive toxicology market is set to be fueled by a surge in the demand for efficient and ethical drug discovery procedures. The complex and evolving nature of drug discovery requires a thorough investigation, creation, and appraisal of chemical compounds, with the aim to concoct potential therapeutic agents that combat diseases and boost general well-being. Efficient and ethical drug discovery employs cutting-edge technologies and emphasizes ethical research practices for the development of new therapeutic agents. This need is amplified by an increase in chronic illnesses, a shift towards personalized medications, and a rise in diseases associated with aging. AI in predictive toxicology augments drug discovery by proficiently examining extensive data to forecast potential toxicological results. This quickens drug development while complying with ethical norms. For example, the European Federation of Pharmaceutical Industries and Associations (EFPIA), a Belgium-based pharmaceutical industry representative, reported in June 2023 that Europe’s total pharmaceutical R&D expenditure was $49,500 million (€44,500 million) in 2022. This marked about a 6.45% growth from the $46,500 million (€42,533 million) documented in 2021. Consequently, the rise in the demand for efficient and ethical drug discovery methods is catalyzing the expansion of the AI in predictive toxicology market.
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Who Are the Top Companies Driving Innovation and Growth 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)_x000D_
• Eurofins Scientific SE_x000D_
• Wuxi AppTec_x000D_
• Charles River Laboratories International_x000D_
• Medidata Solutions Inc._x000D_
What Key Trends Are Currently Impacting the Artificial Intelligence (AI) In Predictive Toxicology Market’s Development?
In an effort to boost their market presence and innovation in the artificial intelligence (AI) predictive toxicology sector, major corporations are turning to strategic partnerships. The focus of these collaborations is to use AI and machine-learning methods to enhance the prediction and evaluation of chemical and pharmaceutical toxicity. Take for instance, the partnership forged in January 2024 between SyntheticGestalt, a UK-based firm specializing in AI-based drug discovery solutions, and Enamine, a Ukrainian company offering chemical building blocks, screening compounds, and comprehensive drug discovery services. Their cooperation centers around creating AI models that expedite the production of synthetically accessible biologically active compounds while optimizing their physicochemical and ADME or Tox (Absorption, Distribution, Metabolism, and Excretion or Toxicity) properties. These models will be used in SyntheticGestalt’s compound discovery projects, benefitting both academic researchers and pharmaceutical firms through their services. Enamine is providing access to its extensive Enamine REAL database, which includes 38 billion molecules, and SyntheticGestalt plans to incorporate this into their Drug Discovery Service. By using in-house AI models, this service will predict the physicochemical and ADME or Tox properties of compounds and swiftly recommend improved alternatives for compounds presenting problems.
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What Are the Core Segments of the Artificial Intelligence (AI) In Predictive Toxicology Market, and How Do They Contribute to Growth?
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
Which Geographical Regions Are Pioneering Growth 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.
How Do Experts Define the Scope of the Artificial Intelligence (AI) In Predictive Toxicology Market?
Artificial intelligence (AI) in predictive toxicology refers to the use of artificial intelligence techniques to analyze biological, chemical, and environmental data to predict the potential toxicity of chemicals and compounds. It is used to expedite chemical safety assessments, predict drug toxicity, and prioritize chemicals for further testing.
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