Artificial Intelligence (AI) In Predictive Toxicology Industry Valued at $1.84 Billion by 2029 With CAGR of 30% | Size and Share Insights
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What Is the Forecast for the Artificial Intelligence (AI) In Predictive Toxicology Market from 2024 to 2025?
There has been significant growth in recent years in the size of the market for artificial intelligence (AI) in predictive toxicology. It is predicted to expand from $0.5 billion in 2024 to $0.64 billion in 2025, representing a compound annual growth rate (CAGR) of 30.0%. The increase during the historical period can be linked to amplified regulatory scrutiny regarding toxicity evaluation, heightened worries about the safety of chemicals, access to extensive datasets for model training, the rising expense and ethical questions around animal testing, and the need for quicker and more economical methods of toxicity screening.
What Is the Projected Market Size of the Artificial Intelligence (AI) In Predictive Toxicology Market?
Predictions anticipate a significant increase in the size of the artificial intelligence (AI) market in predictive toxicology. In the coming years, the market could reach a whopping $1.84 billion in 2029, growing at a compound annual growth rate (CAGR) of 30.0%. Numerous factors, such as the advent of explainable AI in toxicology predictions, the need for personalized toxicity evaluations, the standardization and regulatory approval of AI-based toxicity expectations, the increase in outsourcing services for predictive toxicology, and the widening applications of AI in drug discovery and development, contribute to growth during the forecast period. The era is marked by noticeable trends such as the convergence towards 3D cell culture models for toxicity testing, the emergence of federated learning methods for cooperative toxicity prediction, the utilization of generative models for forecasting chemical toxicity pathways, the integration of natural language processing for toxicity data extraction from literature, and the growth of virtual screening platforms for prioritizing chemical testing.
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Who are the Major Competitors in the Artificial Intelligence (AI) In Predictive Toxicology Market Outlook?
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 Is Fueling Growth in the Artificial Intelligence (AI) In Predictive Toxicology Market?
The surge in demand for more effective and ethical procedures in drug discovery is predicted to stimulate the expansion of the artificial intelligence (AI) in predictive toxicology market. The intricate and evolving nature of drug discovery, which includes comprehensive examinations, creation, and testing of chemical compounds to identify potential treatment agents to combat diseases and improve overall health, triggers the requirement for efficient and ethical drug discovery processes. The said processes employ cutting-edge tech and conscientious research methods to manufacture new medicinal agents. The growing incidents of chronic illnesses, the increasing inclination towards personalized treatment, and higher prevalence of illnesses related to aging drive the demand for these processes. Predictive toxicology powered by AI boosts the drug discovery systems by competently scrutinizing extensive data sets, which helps to foresee possible toxicological outcomes. This hastens the drug development process while also maintaining ethical standards. For example, the Belgium-based European Federation of Pharmaceutical Industries and Associations (EFPIA) reported in June 2023 that Europe’s total pharmaceutical R&D expenditure amounted to $49,500 million (€44,500 million) in 2022, which marks an increase of roughly 6.45% from $46,500 million (€42,533 million) in 2021. As a result, the booming demand for efficient and ethical processes in drug discovery is propelling the growth of the AI in predictive toxicology market.
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Which Artificial Intelligence (AI) In Predictive Toxicology Market Segments Are Growing the Fastest?
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 Industry Trends Are Shaping the Future of the Artificial Intelligence (AI) In Predictive Toxicology Market?
A trend in the AI predictive toxicology market is for major industry players to boost their market share and spur innovation through strategic collaborations. These partnerships aim to elevate the prediction and analysis of chemical and pharmaceutical toxicity through the use of artificial intelligence and machine learning. For instance, a UK-based AI research and development firm, SyntheticGestalt, known for its AI drug discovery solutions, fused its operations with Enamine, a Ukraine-based company supplying chemical building blocks and drug discovery services, in January 2024. They then jointly developed AI models designed to generate synthetically accessible biologically active compounds and optimize their physicochemical and ADME/Tox (Absorption, Distribution, Metabolism, and Excretion or Toxicity) attributes. These models will be used in SyntheticGestalt’s compound discovery work, for the benefit of both academic researchers and pharmaceutical companies. Enamine has made their extensive Enamine REAL database, complete with 38 billion molecules, available as part of this partnership. This database will be incorporated into SyntheticGestalt’s Drug Discovery Service, wherein their proprietary AI models will predict the physicochemical and ADME or Tox properties of compounds. This service promises to offer enhanced alternative compounds swiftly for those with complications.
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Which Countries Are Leading 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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This Report Delivers Insight On:
1. How big is the artificial intelligence (ai) in predictive toxicology market, and how is it changing globally?
2. Who are the major companies in the artificial intelligence (ai) in predictive toxicology market, and how are they performing?
3. What are the key opportunities and risks in the artificial intelligence (ai) in predictive toxicology market right now?
4. Which products or customer segments are growing the most in the artificial intelligence (ai) in predictive toxicology market?
5. What factors are helping or slowing down the growth of the artificial intelligence (ai) in predictive toxicology market?
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