PUBLISHER: Orion Market Research | PRODUCT CODE: 1500299
PUBLISHER: Orion Market Research | PRODUCT CODE: 1500299
Global Chemoinformatics Market Size, Share & Trends Analysis Report by Application (Drug Discovery, Chemical Analysis, Molecular Modeling, Regulatory Compliance, and Others), by Product Type (Software, and Services), and by End-User (Pharmaceutical Companies, Biotechnology Companies, Contract Research Organizations (CROs), and Academic & Research Institutes) Forecast Period (2024-2031)
The global chemoinformatics market is anticipated to grow at a considerable CAGR of 9.9% during the forecast period (2024-2031). The global chemoinformatics market uses computational techniques, algorithms, and software tools to analyze and model chemical data for drug discovery, materials science, and other applications in the pharmaceutical, biotechnology, and chemical industries. Factors driving the market growth include increasing drug discovery activities and increasing R&D expenditure in life sciences. The adoption of AI and machine learning, growing demand for personalized medicine, expanding applications in materials science, drug repurposing and virtual screening, and regulatory initiatives and drug safety requirements. Chemoinformatic tools facilitate the identification of existing drugs with potential therapeutic benefits, and support toxicity prediction, ADME modeling, and pharmacokinetic profiling. These tools help in the identification and optimization of drug candidates with improved safety profiles and reduced adverse effects.
Market Dynamics
Increasing demand for market growth and revenue projection
The small-molecule drug discovery is expected to grow owing to the increasing adoption of Machine Learning (ML) driven chemoinformatics tools. This is anticipated to contribute significantly to the market growth. According to the National Center of Biotechnology Information, in July 2023, chemoinformatics plays an essential role in biology, chemistry, and biochemistry. The market revenue for small-molecule drug discovery is projected to reach $163.76 billion by 2032. ML algorithms have introduced a data-driven approach that allows computers to analyze complex patterns and relations in chemical structures and biological activity data, leading to improved accuracy and efficiency in predicting drug-target interactions and toxicological responses. This review provides insights into the current state of research, the integration of ML-driven cheminformatics tools in drug discovery, and the future possibilities of small-molecule drug discovery and design.
Anticipated Expenses for Drug Discovery
The development cost of a new drug is significantly influenced by factors such as pre-clinical research, clinical trials, regulatory approvals, and post-marketing surveillance. According to the Congressional Budget Office, in April 2021, the pharmaceutical industry allocated $83.0 billion for R&D expenses, including drug exploration, testing, and clinical trials. However, developing new drugs is costly and uncertain, with only 12.0% gaining FDA approval. The average R&D cost per new drug ranges from less than $1.0 billion to over $2.0 billion, including capital costs and unsuccessful drugs. The process often takes over a decade.
Market Segmentation
Chemical Analysis is Projected to Emerge as the Largest Segment
Based on the application, the global chemoinformatics market is sub-segmented into drug discovery, chemical analysis, molecular modeling, regulatory compliance, and others. Among these, the chemical analysis sub-segment is expected to hold the largest share of the market. The primary factor supporting the segment's growth includes the increasing accuracy and precision in chemical analysis. It is essential for producing reliable information for various chemoinformatics applications, such as virtual screening and Structure-Activity Relationship (SAR) modeling. Major advances in spectroscopy, spectrometry, and chromatography have improved the efficacy of chemical analysis. The sector is essential to ensuring the efficacy and safety of pharmaceutical products in addition to supporting the procedures involved in drug discovery, formulation, and development.
Biotechnology Companies Sub-segment to Hold a Considerable Market Share
Biotechnology companies offer innovative molecular design solutions, utilizing chemoinformatics tools, enabling researchers to design and optimize novel drug candidates, thereby driving demand for these technologies in early-stage drug discovery. For instance, in October 2023, Pfizer Inc. signed an agreement to extend access to Cadence Molecular Sciences' products and programming toolkits for advanced molecular design, which aids in early-stage drug discovery innovation.
The global chemoinformatics market is further segmented based on geography including North America (the US, and Canada), Europe (the UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia-Pacific), and the Rest of the World (the Middle East & Africa, and Latin America).
Rise of Biotech Start-ups in Asia-Pacific
India's biotech startups are expanding owing to the use of chemoinformatics tools, which streamline R&D processes, accelerate drug discovery, and optimize biotechnological processes, driving market growth. According to the Asian Biotechnology and Development Review, in November 2023, the Indian Bioeconomy Report 2023 highlights significant economic contributions from sectors such as diagnostics, biopharma, enzymes, and bioindustries. The diagnostic sector identified a 1.5-fold increase since 2018, with a yearly output of $10.8 billion. Biotech startups increased by 23.0% in 2022.
North America Holds Major Market Share
Increased funding in biotechnology sectors accelerates drug discovery, with new platforms and key players enhancing numerous techniques and advanced technologies for target identification and lead optimization. For instance, in July 2022, Dotmatics released its small molecule drug discovery solution, an integrated platform for R&D, promoting collaboration, productivity, and data management. The platform, based on 15+ years of experience, reduces operational inefficiencies and accelerates progress toward life-improving drug therapies. It additionally introduced its biology solution for antibody discovery, offering comprehensive offerings for chemistry and biology.
The major companies serving the global chemoinformatics market include Agilent Technologies Inc., Collaborative Drug Discovery, Inc., Dassault Systemes S.E., PerkinElmer Inc., and Schrodinger, LLC among others. The market players are increasingly focusing on business expansion and product development by applying strategies such as collaborations, mergers, and acquisitions to stay competitive in the market. For instance, in February 2022, Agilent Technologies acquired Virtual Control's advanced AI technology, ACIES, to improve productivity, efficiency, and accuracy in gas chromatography and mass spectrometry platforms. It integrates ACIES into its MassHunter software package for LC/MS and GC/MS instruments, automating data analysis and streamlining laboratory workflows.