AI In Predictive Toxicology Market Booming Worldwide with Latest Trend and Future Scope by 2031 | At a CAGR of 29.6%

Los Angeles, United States - QY Research has released a new publication titled "Global AI In Predictive Toxicology Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031." This comprehensive study provides an in-depth evaluation of the worldwide AI In Predictive Toxicology industry, uncovering the major forces influencing market growth and delivering high-value insights for investors, industry leaders, and strategic decision-makers. The report examines critical elements such as market dynamics, evolving technologies, segmentation trends, regional developments, and the competitive landscape. With data backed by rigorous research and expert interpretation, it offers an authoritative guide to understanding the macroeconomic and microeconomic factors reshaping the global market.

The global market for AI In Predictive Toxicology was estimated to be worth US$ 170 million in 2024 and is forecast to a readjusted size of US$ 1083 million by 2031 with a CAGR of 29.6% during the forecast period 2025-2031.

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Market Overview -

Artificial Intelligence (AI) is one of the most innovative technologies that has revolutionized the world of toxicology in recent years. The intersection of artificial intelligence and toxicology has led to the development of a revolutionary method called Predictive Toxicology. In this method, computer models use data analytics and machine learning to predict the possible negative effects of chemicals. This convergence of modern technologies has enormous promise in accelerating the risk assessment process, reducing dependency on traditional experimental approaches, and expanding our understanding of the complicated link between chemical exposure and biological reactions.

In recent times, machine learning has become increasingly prominent in predictive toxicology as it has shifted from in vivo studies towards in silico studies. Currently, in vitro methods together with other computational methods such as QSAR modelling and ADME calculations are being used. In predictive toxicology SVMs, RF and DTs are the dominant machine learning methods due to the characteristics of the data available.

Natural Language Processing (NLP) represents another critical AI domain for toxicology, extracting information from scientific literature, clinical reports, and adverse event databases. Recent advancements in biomedical NLP have enabled the automated extraction of toxicity relationships from millions of publications, significantly enhancing the knowledge base available for predictive models.

Market Drivers, Challenges & Restraints -

This section outlines the various elements influencing the trajectory of the AI In Predictive Toxicology market:

Key Growth Drivers -
The market for AI in predictive toxicology was steadily growing due to increased awareness of the potential of AI-driven tools in assessing chemical safety and toxicity. This growth was driven by the need for faster and more accurate methods to evaluate the safety of chemicals used in various industries, including pharmaceuticals, cosmetics, chemicals, and agriculture. Advancements in AI algorithms, machine learning models, and data analytics were driving innovation in predictive toxicology. These advancements aimed to enhance the accuracy and efficiency of toxicity predictions, leveraging large datasets and high-throughput screening methods. Opportunities existed for AI-driven predictive toxicology tools to streamline drug discovery, chemical safety assessments, and reduce the reliance on animal testing. Additionally, expanding applications in assessing environmental toxicity and regulatory compliance presented growth opportunities.

Restraints & Challenges -

- Regulatory uncertainties

- Competitive pricing pressures

- Operational risks

- Market-entry barriers

The report also highlights rising opportunities that companies can leverage to gain traction in high-growth segments.

Major Company Included: -

BenevolentAI
Exscientia
Instem
Dassault Systèmes
Evotec
Simulations Plus
Schrodinger
Insilico Medicine
Chemcopilot
Inotiv

The competitive section of the report provides essential insights needed for companies to strengthen their market positioning. It highlights the strategies adopted by leading players-covering innovation, pricing models, marketing channels, distribution networks, and regional expansion. This evaluation enables market participants to identify competitive advantages and understand challenges that may affect their long-term performance.

Market Segmentation -

The report presents a granular breakdown of the global AI In Predictive Toxicology market, emphasizing CAGR, market share, future potential, and emerging trends across each segment.

By Type

Machine Learning
Natural Language Processing
Computer Vision

By Application

Pharmaceutical & Biotechnology
Chemical & Cosmetics
Others

This segmentation helps identify high-growth niches and valuable investment opportunities across product types and applications.

Regional Analysis -

The report offers a detailed geographic assessment covering four major regions and key contributing countries. Insights include consumption patterns, production levels, market share distribution, and long-term growth prospects.

North America

United States
Canada
Mexico

Latin America

Brazil
Other key regional markets

Asia-Pacific

China
Japan
India
South Korea
ASEAN Countries

Europe, Middle East & Africa (EMEA)

Germany
France
United Kingdom
GCC Countries
African Nations

The analysis spans from 2024 (base year) to 2031 (forecast period).

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Why This Report Is Essential -

✔ Complete Historical & Forecast Analysis (2020-2031)
✔ Detailed Segmentation by Type, Application & Region
✔ In-Depth Competitive Landscape & Company Profiling
✔ Drivers, Restraints & Market Dynamics Explained
✔ Expert Insights to Support Strategic Planning

Report Objectives -

✔ Measure the global AI In Predictive Toxicology market size (value & volume).
✔ Accurately analyze market shares, consumption trends, and segment performance.
✔ Examine major market dynamics and industry-shaping forces.
✔ Identify and discuss key production, revenue, and sales trends.
✔ Profile top market players and evaluate their competitive strategies.
✔ Review manufacturing practices, pricing structures, and cost trends.
✔ Compare regional and national market performance across key geographies.
✔ Forecast segment-wise and region-wise growth opportunities through 2031.

Key Questions Answered in the Report -

✔ What is the size and estimated growth rate of the global and regional AI In Predictive Toxicology market?
✔ Which countries are expected to display the strongest growth?
✔ Which region will dominate the market throughout the forecast period?
✔ What are the main factors driving or restraining market expansion?
✔ What technological advancements are shaping future demand?
✔ Where are the key opportunities for new entrants and established players?
✔ Which companies currently hold the highest market share?
✔ How will market dynamics evolve from 2025 to 2031?

Table of Contents - Major Key Points:

1 Market Overview
1.1 AI In Predictive Toxicology Product Introduction
1.2 Global AI In Predictive Toxicology Market Size Forecast (2020-2031)
1.3 AI In Predictive Toxicology Market Trends & Drivers
1.3.1 AI In Predictive Toxicology Industry Trends
1.3.2 AI In Predictive Toxicology Market Drivers & Opportunity
1.3.3 AI In Predictive Toxicology Market Challenges
1.3.4 AI In Predictive Toxicology Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global AI In Predictive Toxicology Players Revenue Ranking (2024)
2.2 Global AI In Predictive Toxicology Revenue by Company (2020-2025)
2.3 Key Companies AI In Predictive Toxicology Manufacturing Base Distribution and Headquarters
2.4 Key Companies AI In Predictive Toxicology Product Offered
2.5 Key Companies Time to Begin Mass Production of AI In Predictive Toxicology
2.6 AI In Predictive Toxicology Market Competitive Analysis
2.6.1 AI In Predictive Toxicology Market Concentration Rate (2020-2025)
2.6.2 Global 5 and 10 Largest Companies by AI In Predictive Toxicology Revenue in 2024
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI In Predictive Toxicology as of 2024)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Machine Learning
3.1.2 Natural Language Processing
3.1.3 Computer Vision
3.2 Global AI In Predictive Toxicology Sales Value by Type
3.2.1 Global AI In Predictive Toxicology Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global AI In Predictive Toxicology Sales Value, by Type (2020-2031)
3.2.3 Global AI In Predictive Toxicology Sales Value, by Type (%) (2020-2031)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Pharmaceutical & Biotechnology
4.1.2 Chemical & Cosmetics
4.1.3 Others
4.2 Global AI In Predictive Toxicology Sales Value by Application
4.2.1 Global AI In Predictive Toxicology Sales Value by Application (2020 VS 2024 VS 2031)
4.2.2 Global AI In Predictive Toxicology Sales Value, by Application (2020-2031)
4.2.3 Global AI In Predictive Toxicology Sales Value, by Application (%) (2020-2031)
5 Segmentation by Region
5.1 Global AI In Predictive Toxicology Sales Value by Region
5.1.1 Global AI In Predictive Toxicology Sales Value by Region: 2020 VS 2024 VS 2031
5.1.2 Global AI In Predictive Toxicology Sales Value by Region (2020-2025)
5.1.3 Global AI In Predictive Toxicology Sales Value by Region (2026-2031)
5.1.4 Global AI In Predictive Toxicology Sales Value by Region (%), (2020-2031)
5.2 North America
5.2.1 North America AI In Predictive Toxicology Sales Value, 2020-2031
5.2.2 North America AI In Predictive Toxicology Sales Value by Country (%), 2024 VS 2031
5.3 Europe
5.3.1 Europe AI In Predictive Toxicology Sales Value, 2020-2031
5.3.2 Europe AI In Predictive Toxicology Sales Value by Country (%), 2024 VS 2031
5.4 Asia Pacific
5.4.1 Asia Pacific AI In Predictive Toxicology Sales Value, 2020-2031
5.4.2 Asia Pacific AI In Predictive Toxicology Sales Value by Region (%), 2024 VS 2031
5.5 South America
5.5.1 South America AI In Predictive Toxicology Sales Value, 2020-2031
5.5.2 South America AI In Predictive Toxicology Sales Value by Country (%), 2024 VS 2031
5.6 Middle East & Africa
5.6.1 Middle East & Africa AI In Predictive Toxicology Sales Value, 2020-2031
5.6.2 Middle East & Africa AI In Predictive Toxicology Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions AI In Predictive Toxicology Sales Value Growth Trends, 2020 VS 2024 VS 2031
6.2 Key Countries/Regions AI In Predictive Toxicology Sales Value, 2020-2031
6.3 United States
6.3.1 United States AI In Predictive Toxicology Sales Value, 2020-2031
6.3.2 United States AI In Predictive Toxicology Sales Value by Type (%), 2024 VS 2031
6.3.3 United States AI In Predictive Toxicology Sales Value by Application, 2024 VS 2031
6.4 Europe
6.4.1 Europe AI In Predictive Toxicology Sales Value, 2020-2031
6.4.2 Europe AI In Predictive Toxicology Sales Value by Type (%), 2024 VS 2031
6.4.3 Europe AI In Predictive Toxicology Sales Value by Application, 2024 VS 2031
6.5 China
6.5.1 China AI In Predictive Toxicology Sales Value, 2020-2031
6.5.2 China AI In Predictive Toxicology Sales Value by Type (%), 2024 VS 2031
6.5.3 China AI In Predictive Toxicology Sales Value by Application, 2024 VS 2031
6.6 Japan
6.6.1 Japan AI In Predictive Toxicology Sales Value, 2020-2031
6.6.2 Japan AI In Predictive Toxicology Sales Value by Type (%), 2024 VS 2031
6.6.3 Japan AI In Predictive Toxicology Sales Value by Application, 2024 VS 2031
6.7 South Korea
6.7.1 South Korea AI In Predictive Toxicology Sales Value, 2020-2031
6.7.2 South Korea AI In Predictive Toxicology Sales Value by Type (%), 2024 VS 2031
6.7.3 South Korea AI In Predictive Toxicology Sales Value by Application, 2024 VS 2031
6.8 Southeast Asia
6.8.1 Southeast Asia AI In Predictive Toxicology Sales Value, 2020-2031
6.8.2 Southeast Asia AI In Predictive Toxicology Sales Value by Type (%), 2024 VS 2031
6.8.3 Southeast Asia AI In Predictive Toxicology Sales Value by Application, 2024 VS 2031
6.9 India
6.9.1 India AI In Predictive Toxicology Sales Value, 2020-2031
6.9.2 India AI In Predictive Toxicology Sales Value by Type (%), 2024 VS 2031
6.9.3 India AI In Predictive Toxicology Sales Value by Application, 2024 VS 2031
7 Company Profiles
7.1 BenevolentAI
7.1.1 BenevolentAI Profile
7.1.2 BenevolentAI Main Business
7.1.3 BenevolentAI AI In Predictive Toxicology Products, Services and Solutions
7.1.4 BenevolentAI AI In Predictive Toxicology Revenue (US$ Million) & (2020-2025)
7.1.5 BenevolentAI Recent Developments
7.2 Exscientia
7.2.1 Exscientia Profile
7.2.2 Exscientia Main Business
7.2.3 Exscientia AI In Predictive Toxicology Products, Services and Solutions
7.2.4 Exscientia AI In Predictive Toxicology Revenue (US$ Million) & (2020-2025)
7.2.5 Exscientia Recent Developments
7.3 Instem
7.3.1 Instem Profile
7.3.2 Instem Main Business
7.3.3 Instem AI In Predictive Toxicology Products, Services and Solutions
7.3.4 Instem AI In Predictive Toxicology Revenue (US$ Million) & (2020-2025)
7.3.5 Instem Recent Developments
7.4 Dassault Systèmes
7.4.1 Dassault Systèmes Profile
7.4.2 Dassault Systèmes Main Business
7.4.3 Dassault Systèmes AI In Predictive Toxicology Products, Services and Solutions
7.4.4 Dassault Systèmes AI In Predictive Toxicology Revenue (US$ Million) & (2020-2025)
7.4.5 Dassault Systèmes Recent Developments
7.5 Evotec
7.5.1 Evotec Profile
7.5.2 Evotec Main Business
7.5.3 Evotec AI In Predictive Toxicology Products, Services and Solutions
7.5.4 Evotec AI In Predictive Toxicology Revenue (US$ Million) & (2020-2025)
7.5.5 Evotec Recent Developments
7.6 Simulations Plus
7.6.1 Simulations Plus Profile
7.6.2 Simulations Plus Main Business
7.6.3 Simulations Plus AI In Predictive Toxicology Products, Services and Solutions
7.6.4 Simulations Plus AI In Predictive Toxicology Revenue (US$ Million) & (2020-2025)
7.6.5 Simulations Plus Recent Developments
7.7 Schrodinger
7.7.1 Schrodinger Profile
7.7.2 Schrodinger Main Business
7.7.3 Schrodinger AI In Predictive Toxicology Products, Services and Solutions
7.7.4 Schrodinger AI In Predictive Toxicology Revenue (US$ Million) & (2020-2025)
7.7.5 Schrodinger Recent Developments
7.8 Insilico Medicine
7.8.1 Insilico Medicine Profile
7.8.2 Insilico Medicine Main Business
7.8.3 Insilico Medicine AI In Predictive Toxicology Products, Services and Solutions
7.8.4 Insilico Medicine AI In Predictive Toxicology Revenue (US$ Million) & (2020-2025)
7.8.5 Insilico Medicine Recent Developments
7.9 Chemcopilot
7.9.1 Chemcopilot Profile
7.9.2 Chemcopilot Main Business
7.9.3 Chemcopilot AI In Predictive Toxicology Products, Services and Solutions
7.9.4 Chemcopilot AI In Predictive Toxicology Revenue (US$ Million) & (2020-2025)
7.9.5 Chemcopilot Recent Developments
7.10 Inotiv
7.10.1 Inotiv Profile
7.10.2 Inotiv Main Business
7.10.3 Inotiv AI In Predictive Toxicology Products, Services and Solutions
7.10.4 Inotiv AI In Predictive Toxicology Revenue (US$ Million) & (2020-2025)
7.10.5 Inotiv Recent Developments
8 Industry Chain Analysis
8.1 AI In Predictive Toxicology Industrial Chain
8.2 AI In Predictive Toxicology Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 AI In Predictive Toxicology Sales Model
8.5.2 Sales Channel
8.5.3 AI In Predictive Toxicology Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer

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