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Industry Research
AI Drug Safety Prediction Software Industry Research Report 2026
Market perspective
The global AI Drug Safety Prediction Software market was valued at US$ million in 2025 and is projected to reach US$ million by 2032, implying a CAGR of % over 2026–2032.
North America: the AI Drug Safety Prediction Software market is projected to increase from US$ million in 2026 to US$ million by 2032, reflecting a CAGR of % over 2026–2032. Europe: the AI Drug Safety Prediction Software market is projected to rise from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026–2032. Asia Pacific: the AI Drug Safety Prediction Software market is expected to grow from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026–2032. Leading global service providers of AI Drug Safety Prediction Software include Certara, Lhasa Limited, Instem, ACD/Labs, Chemical Computing Group, Optibrium, MultiCASE, Insilico Medicine and MindRank, among others; in 2025, the top three vendors together accounted for approximately % of global revenue.
Report Scope
Read the full market overview
This report quantifies the global AI Drug Safety Prediction Software market in terms of revenue (US$ million) and, where applicable, service volume (k units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/k units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to AI Drug Safety Prediction Software.
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
AI Drug Safety Prediction Software Market by Company
Certara
Lhasa Limited
Instem
ACD/Labs
Chemical Computing Group
Optibrium
MultiCASE
Insilico Medicine
MindRank
Molecular Discovery
Molecular Networks
OASIS LMC
Simulations Plus
Dassault Systèmes
Schrödinger
AI Drug Safety Prediction Software Segment by Type
Integrated ADMET Prediction
Toxicity Endpoint Prediction
Drug-Drug Interaction and PK Safety Prediction
Metabolism and Metabolite Prediction
Off-Target and Safety Pharmacology Prediction
AI Drug Safety Prediction Software Segment by Application
Hit and Lead Screening
Lead Optimization
Candidate Selection
Preclinical Safety Assessment
Regulatory Safety Assessment
Other Drug Safety Research
AI Drug Safety Prediction Software Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global AI Drug Safety Prediction Software market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of AI Drug Safety Prediction Software and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market
5. This report helps stakeholders to gain insights into which regions to target globally
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of AI Drug Safety Prediction Software.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 3: Provides the analysis of various market segments product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 6: Detailed analysis of AI Drug Safety Prediction Software companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Integrated ADMET Prediction
- Toxicity Endpoint Prediction
- Drug-Drug Interaction and PK Safety Prediction
- Metabolism and Metabolite Prediction
- Off-Target and Safety Pharmacology Prediction
Applications
- Hit and Lead Screening
- Lead Optimization
- Candidate Selection
- Preclinical Safety Assessment
- Regulatory Safety Assessment
- Other Drug Safety Research
Companies covered
- Certara
- Lhasa Limited
- Instem
- ACD/Labs
- Chemical Computing Group
- Optibrium
- MultiCASE
- Insilico Medicine
- MindRank
- Molecular Discovery
- Molecular Networks
- OASIS LMC
- Simulations Plus
- Dassault Systèmes
- Schrödinger
Inside the report.
1 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 AI Drug Safety Prediction Software by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Integrated ADMET Prediction
- 2.2.3 Toxicity Endpoint Prediction
- 2.2.4 Drug-Drug Interaction and PK Safety Prediction
- 2.2.5 Metabolism and Metabolite Prediction
- 2.2.6 Off-Target and Safety Pharmacology Prediction
- 2.3 AI Drug Safety Prediction Software by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Hit and Lead Screening
- 2.3.3 Lead Optimization
- 2.3.4 Candidate Selection
- 2.3.5 Preclinical Safety Assessment
- 2.3.6 Regulatory Safety Assessment
- 2.3.7 Other Drug Safety Research
- 2.4 Assumptions and Limitations
3 AI Drug Safety Prediction Software Breakdown Data by Type
- 3.1 Global AI Drug Safety Prediction Software Historic Market Size by Type (2021-2026)
- 3.2 Global AI Drug Safety Prediction Software Forecasted Market Size by Type (2027-2032)
4 AI Drug Safety Prediction Software Breakdown Data by Application
- 4.1 Global AI Drug Safety Prediction Software Historic Market Size by Application (2021-2026)
- 4.2 Global AI Drug Safety Prediction Software Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global AI Drug Safety Prediction Software Market Perspective (2021-2032)
- 5.2 Global AI Drug Safety Prediction Software Growth Trends by Region
- 5.2.1 Global AI Drug Safety Prediction Software Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 AI Drug Safety Prediction Software Historic Market Size by Region (2021-2026)
- 5.2.3 AI Drug Safety Prediction Software Forecasted Market Size by Region (2027-2032)
- 5.3 AI Drug Safety Prediction Software Market Dynamics
- 5.3.1 AI Drug Safety Prediction Software Industry Trends
- 5.3.2 AI Drug Safety Prediction Software Market Drivers
- 5.3.3 AI Drug Safety Prediction Software Market Challenges
- 5.3.4 AI Drug Safety Prediction Software Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top AI Drug Safety Prediction Software Players by Revenue
- 6.1.1 Global Top AI Drug Safety Prediction Software Players by Revenue (2021-2026)
- 6.1.2 Global AI Drug Safety Prediction Software Revenue Market Share by Players (2021-2026)
- 6.2 Global AI Drug Safety Prediction Software Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of AI Drug Safety Prediction Software Head Office and Area Served
- 6.4 Global AI Drug Safety Prediction Software Players, Product Type & Application
- 6.5 Global AI Drug Safety Prediction Software Manufacturers Established Date
- 6.6 Global AI Drug Safety Prediction Software Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America AI Drug Safety Prediction Software Market Size (2021-2032)
- 7.2 North America AI Drug Safety Prediction Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America AI Drug Safety Prediction Software Market Size by Country (2021-2026)
- 7.4 North America AI Drug Safety Prediction Software Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe AI Drug Safety Prediction Software Market Size (2021-2032)
- 8.2 Europe AI Drug Safety Prediction Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe AI Drug Safety Prediction Software Market Size by Country (2021-2026)
- 8.4 Europe AI Drug Safety Prediction Software Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific AI Drug Safety Prediction Software Market Size (2021-2032)
- 9.2 Asia-Pacific AI Drug Safety Prediction Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific AI Drug Safety Prediction Software Market Size by Country (2021-2026)
- 9.4 Asia-Pacific AI Drug Safety Prediction Software Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America AI Drug Safety Prediction Software Market Size (2021-2032)
- 10.2 South America AI Drug Safety Prediction Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America AI Drug Safety Prediction Software Market Size by Country (2021-2026)
- 10.4 South America AI Drug Safety Prediction Software Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa AI Drug Safety Prediction Software Market Size (2021-2032)
- 11.2 Middle East & Africa AI Drug Safety Prediction Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa AI Drug Safety Prediction Software Market Size by Country (2021-2026)
- 11.4 Middle East & Africa AI Drug Safety Prediction Software Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 Certara
- 12.1.1 Certara Company Information
- 12.1.2 Certara Business Overview
- 12.1.3 Certara Revenue in AI Drug Safety Prediction Software Business (2021-2026)
- 12.1.4 Certara AI Drug Safety Prediction Software Product Portfolio
- 12.1.5 Certara Recent Developments
- 12.2 Lhasa Limited
- 12.2.1 Lhasa Limited Company Information
- 12.2.2 Lhasa Limited Business Overview
- 12.2.3 Lhasa Limited Revenue in AI Drug Safety Prediction Software Business (2021-2026)
- 12.2.4 Lhasa Limited AI Drug Safety Prediction Software Product Portfolio
- 12.2.5 Lhasa Limited Recent Developments
- 12.3 Instem
- 12.3.1 Instem Company Information
- 12.3.2 Instem Business Overview
- 12.3.3 Instem Revenue in AI Drug Safety Prediction Software Business (2021-2026)
- 12.3.4 Instem AI Drug Safety Prediction Software Product Portfolio
- 12.3.5 Instem Recent Developments
- 12.4 ACD/Labs
- 12.4.1 ACD/Labs Company Information
- 12.4.2 ACD/Labs Business Overview
- 12.4.3 ACD/Labs Revenue in AI Drug Safety Prediction Software Business (2021-2026)
- 12.4.4 ACD/Labs AI Drug Safety Prediction Software Product Portfolio
- 12.4.5 ACD/Labs Recent Developments
- 12.5 Chemical Computing Group
- 12.5.1 Chemical Computing Group Company Information
- 12.5.2 Chemical Computing Group Business Overview
- 12.5.3 Chemical Computing Group Revenue in AI Drug Safety Prediction Software Business (2021-2026)
- 12.5.4 Chemical Computing Group AI Drug Safety Prediction Software Product Portfolio
- 12.5.5 Chemical Computing Group Recent Developments
- 12.6 Optibrium
- 12.6.1 Optibrium Company Information
- 12.6.2 Optibrium Business Overview
- 12.6.3 Optibrium Revenue in AI Drug Safety Prediction Software Business (2021-2026)
- 12.6.4 Optibrium AI Drug Safety Prediction Software Product Portfolio
- 12.6.5 Optibrium Recent Developments
- 12.7 MultiCASE
- 12.7.1 MultiCASE Company Information
- 12.7.2 MultiCASE Business Overview
- 12.7.3 MultiCASE Revenue in AI Drug Safety Prediction Software Business (2021-2026)
- 12.7.4 MultiCASE AI Drug Safety Prediction Software Product Portfolio
- 12.7.5 MultiCASE Recent Developments
- 12.8 Insilico Medicine
- 12.8.1 Insilico Medicine Company Information
- 12.8.2 Insilico Medicine Business Overview
- 12.8.3 Insilico Medicine Revenue in AI Drug Safety Prediction Software Business (2021-2026)
- 12.8.4 Insilico Medicine AI Drug Safety Prediction Software Product Portfolio
- 12.8.5 Insilico Medicine Recent Developments
- 12.9 MindRank
- 12.9.1 MindRank Company Information
- 12.9.2 MindRank Business Overview
- 12.9.3 MindRank Revenue in AI Drug Safety Prediction Software Business (2021-2026)
- 12.9.4 MindRank AI Drug Safety Prediction Software Product Portfolio
- 12.9.5 MindRank Recent Developments
- 12.10 Molecular Discovery
- 12.10.1 Molecular Discovery Company Information
- 12.10.2 Molecular Discovery Business Overview
- 12.10.3 Molecular Discovery Revenue in AI Drug Safety Prediction Software Business (2021-2026)
- 12.10.4 Molecular Discovery AI Drug Safety Prediction Software Product Portfolio
- 12.10.5 Molecular Discovery Recent Developments
- 12.11 Molecular Networks
- 12.11.1 Molecular Networks Company Information
- 12.11.2 Molecular Networks Business Overview
- 12.11.3 Molecular Networks Revenue in AI Drug Safety Prediction Software Business (2021-2026)
- 12.11.4 Molecular Networks AI Drug Safety Prediction Software Product Portfolio
- 12.11.5 Molecular Networks Recent Developments
- 12.12 OASIS LMC
- 12.12.1 OASIS LMC Company Information
- 12.12.2 OASIS LMC Business Overview
- 12.12.3 OASIS LMC Revenue in AI Drug Safety Prediction Software Business (2021-2026)
- 12.12.4 OASIS LMC AI Drug Safety Prediction Software Product Portfolio
- 12.12.5 OASIS LMC Recent Developments
- 12.13 Simulations Plus
- 12.13.1 Simulations Plus Company Information
- 12.13.2 Simulations Plus Business Overview
- 12.13.3 Simulations Plus Revenue in AI Drug Safety Prediction Software Business (2021-2026)
- 12.13.4 Simulations Plus AI Drug Safety Prediction Software Product Portfolio
- 12.13.5 Simulations Plus Recent Developments
- 12.14 Dassault Systèmes
- 12.14.1 Dassault Systèmes Company Information
- 12.14.2 Dassault Systèmes Business Overview
- 12.14.3 Dassault Systèmes Revenue in AI Drug Safety Prediction Software Business (2021-2026)
- 12.14.4 Dassault Systèmes AI Drug Safety Prediction Software Product Portfolio
- 12.14.5 Dassault Systèmes Recent Developments
- 12.15 Schrödinger
- 12.15.1 Schrödinger Company Information
- 12.15.2 Schrödinger Business Overview
- 12.15.3 Schrödinger Revenue in AI Drug Safety Prediction Software Business (2021-2026)
- 12.15.4 Schrödinger AI Drug Safety Prediction Software Product Portfolio
- 12.15.5 Schrödinger Recent Developments
13 Report Conclusion
14 Disclaimer
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