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Chemoinformatics Market to Reach US$ 24.43 Billion by 2033 | CAGR 15.1% | AI-Driven Drug Discovery and Virtual Screening Driving Growth | Key Players: Schrödinger, Dassault Systèmes

01-12-2026 06:52 AM CET | Chemicals & Materials

Press release from: DataM intelligence 4 Market Research LLP

Chemoinformatics

Chemoinformatics

Chemoinformatics Market Size & Industry Outlook

The global chemoinformatics market reached US$ 6.91 billion in 2024 and is projected to grow to US$ 24.43 billion by 2033, registering a CAGR of 15.1% during the forecast period of 2025-2033. The market growth is primarily driven by the rising need for faster, cost-effective drug discovery. Traditional drug development processes are expensive, time-consuming, and associated with high failure rates, with successful drug candidates often requiring billions of dollars and more than a decade to reach the market. Chemoinformatics addresses these challenges by enabling virtual screening of large chemical libraries, predictive modeling of ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) properties, and molecular structure optimization, significantly reducing the reliance on costly laboratory experiments. These platforms are increasingly adopted by pharmaceutical companies, biotechnology firms, and contract research organizations worldwide, as they accelerate early-stage drug discovery, improve candidate selection, and lower overall R&D expenditures.

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Recent Developments

✅ January 2026: A leading global pharmaceutical company integrated advanced chemoinformatics platforms with AI-driven molecular modeling tools to accelerate the discovery of novel drug candidates, reducing early-stage screening timelines.

✅ November 2025: A biotech firm launched a cloud-based chemoinformatics solution that enables collaborative virtual screening and predictive ADMET analysis across multiple research sites, enhancing workflow efficiency and data sharing.

✅ September 2025: A consortium of pharmaceutical and software companies introduced an AI-powered chemoinformatics platform capable of automated molecular optimization and toxicity prediction, supporting faster and safer drug development pipelines.

✅ June 2025: A prominent contract research organization (CRO) adopted an integrated chemoinformatics and bioinformatics platform, combining chemical library screening with genomic and proteomic data to improve candidate selection and target validation.

✅ March 2025: An AI startup specializing in computational chemistry partnered with a global pharma company to develop predictive modeling tools that streamline preclinical drug design and reduce the number of required laboratory experiments.

Mergers & Acquisitions

✅ January 2026: A leading global pharmaceutical analytics firm acquired a specialized AI-driven chemoinformatics startup to enhance its drug discovery platform and expand capabilities in virtual screening and molecular modeling.

✅ October 2025: A major bioinformatics company merged with a chemoinformatics software developer, combining predictive ADMET modeling and chemical library management tools to offer an integrated early-stage drug discovery solution.

✅ August 2025: A contract research organization (CRO) acquired a cloud-based chemoinformatics platform provider, enabling faster collaboration, data sharing, and virtual screening for global clients.

✅ May 2025: A prominent AI startup in computational chemistry secured a strategic partnership and partial acquisition by a top-tier pharmaceutical company to co-develop predictive molecular modeling and toxicity assessment tools.

✅ March 2025: Two specialty software firms offering chemoinformatics and cheminformatics services merged to create a unified platform for high-throughput molecular screening, molecular optimization, and structure-based drug design.

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Key Players:

Schrödinger, Inc.
Dassault Systèmes
OpenEye
Cadence Molecular Sciences
Chemical Computing Group ULC
Cresset
Optibrium
Chemaxon Ltd.
Revvity Signals Software, Inc.
Dotmatics
MolSoft LLC

Market Segmentation:

By type, software dominates with around 65% share, driven by the adoption of AI-powered platforms for molecular modeling, virtual screening, and predictive ADMET analysis, while services account for 35%, including consulting, implementation, and support for chemoinformatics solutions.

By application, drug discovery leads with 40%, reflecting the critical role of chemoinformatics in early-stage candidate selection and optimization. Chemical analysis represents 20%, supporting molecular profiling and compound characterization. Molecular modeling accounts for 15%, enabling simulation and structural prediction. Regulatory compliance applications capture 10%, aiding in documentation, reporting, and adherence to industry guidelines, while other applications account for 15%.

By end user, pharmaceutical and biotechnology companies dominate with 50%, leveraging chemoinformatics for faster, cost-effective drug development. Academic and research institutions follow with 20%, using platforms for computational chemistry research and education. Chemical industries account for 15%, applying chemoinformatics in material and chemical compound design, and food & beverages companies contribute 15%, using computational tools for ingredient analysis and safety assessments.

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Regional Insights:

North America leads the market with approximately 40% share, fueled by the presence of major pharmaceutical and biotechnology companies, extensive research facilities, and high adoption of AI-driven drug discovery platforms.

Europe accounts for around 25%, supported by strong pharmaceutical R&D, collaborative research initiatives, and government-backed innovation programs across countries such as Germany, the UK, and France.

Asia-Pacific represents about 20%, with rapid growth in China, Japan, and India due to increasing investments in biotechnology, expanding CRO services, and rising demand for cost-efficient drug development. Latin America holds roughly 8%, driven by emerging pharmaceutical research centers and adoption of chemoinformatics in academic institutions.

Market Dynamics:

The growth of the chemoinformatics market is primarily driven by the rise of AI-enabled and machine learning-based drug discovery models. By overcoming the limitations of traditional drug development, AI and ML algorithms can analyze large-scale chemical and biological datasets to generate highly accurate predictions about compound safety, efficacy, and biological interactions. These advanced predictive models optimize lead selection, enable drug repurposing, reduce costs, and shorten development timelines. Additionally, generative AI facilitates the design of novel therapeutic candidates, further accelerating early-stage drug discovery. For example, in January 2024, Deloitte introduced "Atlas AI", part of its Quartz AI suite, built on NVIDIA AI and NVIDIA Omniverse platforms. The platform leverages knowledge representation, custom protein Large Language Models (LLMs), and chemoinformatic LLMs to advance digital biology and transform drug discovery with cutting-edge AI technologies.

On the other hand, the market faces restraints related to data security and privacy concerns, which limit broader adoption. Chemoinformatics relies on highly sensitive information, including proprietary molecular structures, experimental results, and patient health data, making it particularly vulnerable to breaches. Organizations are cautious about cloud-based systems and data-sharing collaborations due to risks of intellectual property theft and regulatory non-compliance under frameworks like GDPR and HIPAA. Many businesses continue to rely on costly, segregated on-premise systems, which restrict scalability and innovation. Limited access to large, diverse datasets also reduces the effectiveness of AI and ML models, hindering breakthroughs in drug discovery. Addressing these challenges requires significant investments in cybersecurity and data governance, increasing costs and slowing adoption of chemoinformatics solutions.

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