Artificial Intelligence (AI) in Predictive Toxicology Global Market Opportunities and Strategies to 2034

This report describes and explains the artificial intelligence (AI) in predictive toxicology market and covers 2019-2024, termed the historic period, and 2024-2029, 2034F termed the forecast period. The report evaluates the market across each region and for the major economies within each region.

The global artificial intelligence (AI) in predictive toxicology market reached a value of nearly $495.44 million in 2024, having grown at a compound annual growth rate (CAGR) of 30.62% since 2019. The market is expected to grow from $495.44 million in 2024 to $1.78 billion in 2029 at a rate of 29.27%. The market is then expected to grow at a CAGR of 27.61% from 2029 and reach $6.05 billion in 2034.

Growth in the historic period resulted from shift towards plant-based products, growth in the pharmaceutical industry, rising health and wellness concerns and growing demand for functional foods. Factors that negatively affected growth in the historic period were the high production costs and regulatory hurdles.

Going forward, expansion of the cosmetics industry, growing demand for dietary supplements, increased prevalence of chronic diseases and rising demand for natural antioxidants will drive growth. Factors that could hinder the growth of the artificial intelligence (AI) in predictive toxicology market in the future include limited clinical validation, competition from substitute products and impact of trade war and tariff.

North America was the largest region in the artificial intelligence (AI) in predictive toxicology market, accounting for 40.13% or $198.83 million of the total in 2024. It was followed by Asia-Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the artificial intelligence (AI) in predictive toxicology market will be Asia-Pacific and Middle East where growth will be at CAGRs of 35.01% and 32.72% respectively. These will be followed by Africa and South America where the markets are expected to grow at CAGRs of 31.50% and 30.74% respectively.

The global artificial intelligence (AI) in predictive toxicology market is fairly fragmented, with a large number of small players operating in the market. The top 10 competitors in the market made up 17.72% of the total market in 2024. Simulations Plus Inc. was the largest competitor with a 3.25% share of the market, followed by Certara Inc. with 2.87%, Schrödinger Inc. with 2.73%, Merative LP (formerly IBM Watson Health), with 1.91%, BIOVIA (a Dassault Systèmes company), with 1.84%, Cyprotex with 1.24%, Evalueserve Holding AG with 1.21%, Recursion Pharmaceuticals Inc. with 1.18%, Eurofins Scientific SE with 0.76% and Charles River Laboratories International with 0.73%.

The artificial intelligence (AI) in predictive toxicology market is segmented by component into solution and services. The solution market was the largest segment of the artificial intelligence (AI) in predictive toxicology market segmented by component, accounting for 69.24% or $343.04 million of the total in 2024. Going forward, the services segment is expected to be the fastest growing segment in the artificial intelligence (AI) in predictive toxicology market segmented by component, at a CAGR of 33.69% during 2024-2029.

The artificial intelligence (AI) in predictive toxicology market is segmented by technology into machine learning, natural language processing, computer vision, other technologies. The machine learning market was the largest segment of the artificial intelligence (AI) in predictive toxicology market segmented by technology, accounting for 47.51% or $235.4 million of the total in 2024. Going forward, the machine learning segment is expected to be the fastest growing segment in the artificial intelligence (AI) in predictive toxicology market segmented by technology, at a CAGR of 32.10% during 2024-2029.

The artificial intelligence (AI) in predictive toxicology market is segmented by toxicity endpoints into genotoxicity, hepatotoxicity, neurotoxicity, cardiotoxicity and other toxicity endpoints. The genotoxicity market was the largest segment of the artificial intelligence (AI) in predictive toxicology market segmented by toxicity endpoints, accounting for 33.19% or $164.41 million of the total in 2024. Going forward, the genotoxicity segment is expected to be the fastest growing segment in the artificial intelligence (AI) in predictive toxicology market segmented by toxicity endpoints, at a CAGR of 32.34% during 2024-2029.

The artificial intelligence (AI) in predictive toxicology market is segmented by end user into pharmaceutical and biotechnology companies, chemical and cosmetics, contract research organizations and other end users. The pharmaceutical and biotechnology companies market was the largest segment of the artificial intelligence (AI) in predictive toxicology market segmented by end user, accounting for 49.45% or $245.0 million of the total in 2024. Going forward, the pharmaceutical and biotechnology companies segment is expected to be the fastest growing segment in the artificial intelligence (AI) in predictive toxicology market segmented by end user, at a CAGR of 33.29% during 2024-2029.

The top opportunities in the artificial intelligence (AI) in predictive toxicology market segmented by component will arise in the solution segment, which will gain $794.61 million of global annual sales by 2029. The top opportunities in the artificial intelligence (AI) in predictive toxicology market segmented by technology will arise in the machine learning segment, which will gain $711.52 million of global annual sales by 2029. The top opportunities in the artificial intelligence (AI) in predictive toxicology market segmented by toxicity endpoints will arise in the genotoxicity segment, which will gain $502.98 million of global annual sales by 2029. The top opportunities in the artificial intelligence (AI) in predictive toxicology market segmented by end user will arise in the pharmaceutical and biotechnology companies segment, which will gain $785.76 million of global annual sales by 2029. The artificial intelligence (AI) in predictive toxicology market size will gain the most in the USA at $382.21 million.

Market-trend-based strategies for the artificial intelligence (AI) in predictive toxicology market include launch of AI-driven risk assessment platform to enhance drug safety predictions, introduction of AI-powered modules for predicting combination regimen efficacy in cancer treatment, development of AI-powered platforms to replace animal testing in toxicology studies, expansion of AI-driven digital pathology collaborations for toxicologic research.

Player-adopted strategies in the artificial intelligence (AI) in predictive toxicology market include focus on expanding its business capabilities through new product developments, new launches and strategic initiatives.

To take advantage of the opportunities, the analyst recommends the artificial intelligence (AI) in predictive toxicology market companies to focus on strengthening ai-driven risk assessment to improve drug safety outcomes, focus on expanding ai modules that predict combination regimen efficacy, focus on advancing ai platforms that replace animal testing in toxicology, focus on scaling ai driven digital pathology collaborations to strengthen toxicologic research, focus on strengthening predictive platforms to anticipate off target risks, focus on integrating ai toxicity platforms with digital lab systems, focus on accelerating growth in the services segment, focus on scaling machine learning capabilities to drive the strongest market growth, focus on strengthening capabilities in the genotoxicity segment, focus on expanding distribution across the fast-growing genotoxicity segment, expand in emerging markets, continue to focus on developed markets, provide competitively priced offerings, continue to use b2b promotions, focus on strengthening engagement with pharmaceutical and biotechnology end users.