Artificial Intelligence (AI) In Predictive Toxicology Market Landscape 2025: Forecast Data and Growth Strategy Insights

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What Is the Expected CAGR for the Artificial Intelligence (AI) In Predictive Toxicology Market Through 2025?
In recent years, there has been an exponential growth in the market size of artificial intelligence (AI) in predictive toxicology. The market will expand from $0.5 billion in 2024 to $0.64 billion in 2025, with a compound annual growth rate (CAGR) of 29.5%. This significant increase in the past years is due to factors such as heightened regulatory pressure for toxicity analysis, escalating worries about safety in chemical industry, availability of extensive data sets for model training purposes, increasing costs and ethical dilemmas related to animal experimentation, and the growing demand for quicker and more cost-effective methods of toxicity screening.

What's the Projected Size of the Global Artificial Intelligence (AI) In Predictive Toxicology Market by 2029?
The market size of artificial intelligence (AI) in predictive toxicology is set to experience a rapid expansion in the coming years, reaching a projected size of $1.83 billion by 2029, with a robust compound annual growth rate (CAGR) of 29.9%. This impressive growth over the forecast period can be accredited to a number of factors. These include the advent of explainable AI in toxicology prognostications, the requirement for custom toxicity evaluations, the regulatory approval and standardization of AI-assisted toxicity predictions, the increase in outsourcing services for predictive toxicology, and the widening of AI use in pharmaceutical discovery and progress. Key emerging trends during this period encompass a shift towards 3D cell culture models applied to toxicity tests, the growth of federated learning methods for collective toxicity forecasting, the utilization of generative models for figuring out chemical toxicity trajectories, the adoption of natural language processing for garnering toxicity data from documented sources, and the evolution of virtual platforms for selecting chemical testing priorities.

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Top Growth Drivers in the Artificial Intelligence (AI) In Predictive Toxicology Industry: What's Accelerating the Market?
The demand for efficient and ethical ways to discover drugs is on the rise, and this is likely to stimulate the expansion of artificial intelligence (AI) in the predictive toxicology market. The intricate and ever-changing nature of drug discovery involves systematic examination, production, and assessment of chemical compounds to find potential therapeutic agents that can improve health and treat diseases. Efficiency and ethics in these processes require the use of sophisticated technologies and a focus on responsible research methods to create new therapeutic agents. Factors like growing chronic illnesses, the increasing approach towards personalized medicine, and a surge in age-related diseases are driving this demand. AI's role in predictive toxicology is crucial in enhancing drug discovery processes by effectively analyzing large sets of data to predict potential toxicological results, thus speeding up drug development while maintaining ethical standards. For example, in June 2023, the European Federation of Pharmaceutical Industries and Associations (EFPIA), a trade association based in Belgium that represents the pharmaceutical industry, indicated that the total pharmaceutical R&D expenditure in Europe accounted for $49,500 million (€44,500 million) in 2022, a raise of about 6.45% from $46,500 million (€42,533 million) in 2021. Thus, the growing demand for efficient and ethical drug discovery processes is fueling the expansion of AI in the predictive toxicology market.

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What Are the Key Trends Driving Artificial Intelligence (AI) In Predictive Toxicology Market Growth?
Big names in the AI predictive toxicology market are banking on strategic partnerships for market consolidation and creative expansion. These alliances are designed to benefit from AI and machine learning to enhance the prognostication and evaluation of the toxicity of pharmaceuticals and chemical compounds. As a case in point, in January 2024, SyntheticGestalt, a UK-based AI research and development enterprise specialising in AI drug discovery solutions, joined hands with Enamine, a chemical building blocks, integrated drug discovery services, and screening compounds provider from Ukraine. Their aim was to construct a unique set of AI models capable of generating synthetically accessible biologically active compounds while refining their physicochemical and ADME or Toxicity characteristics. These models will be used in SyntheticGestalt's compound discovery ventures, addressing both the needs of academia and pharmaceutical firms through their services. Enamine opened up its expansive Enamine REAL database featuring 38 billion molecules. SyntheticGestalt is and will utilise this database in its Drug Discovery Service, applying in-house AI models to anticipate the physicochemical and ADME or Tox attributes of compounds. It will swiftly recommend superior alternatives for compounds presenting problems.

What Are the Main Segments in the Artificial Intelligence (AI) In Predictive Toxicology Market?
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 Top Companies are Driving 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), 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 Will Dominate the Artificial Intelligence (AI) In Predictive Toxicology Market Through 2029?
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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