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A11921 | Pages: 269 | Charts: 60 | Tables: 151 |
The global computational biology market size was valued at $5.5 billion in 2021, and is projected to reach $31.5 billion by 2031, growing at a CAGR of 19.5% from 2022 to 2031. Computational biology is a branch of biology that uses computers and computer science to understand better and simulate biological structures and processes of life. It comprises the use of computational approaches (such as algorithms) to the representation and simulation of biological systems as well as the interpretation of experimental data on a massive scale.
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It is an interdisciplinary field that develops and applies computational methods to analyze large collections of biological data, such as genetic sequences, cell populations or protein samples, to make new predictions or discover new biology. The computational methods used include analytical methods, mathematical modelling, and simulation.
The models of biological systems are constructed from experimental measurements. These models describe what biological tasks are carried out by particular nucleic acid or peptide sequences, which gene (or genes) when expressed produce a particular phenotype or behavior, what sequence of changes in gene or protein expression or localization led to a particular disease, and how changes in cell organization influence cell behavior.
Computational biology is helpful in various ways; for instance, along with bioinformatics technology, it helps in accelerating to revel genome and protein structure, variant calling, mutation, and other biological characteristics of SARS-CoV-2. Bioinformatics analysis helps to find the evidence of the origin, host, and evolution of the virus. Furthermore, molecular dynamics simulation, molecular docking, and artificial intelligence (AI) technology of bioinformatics methods can accelerate the development of drugs. Bioinformatics technologies further can develop the effectiveness and safety of the vaccines through reverse vaccinology, immuno-informatics, and structural vaccinology.
The global competitional biology market is expected to witness moderate growth during the forecast period, owing to increase in demand of pharmacovigilance; rise in adoption and development of advanced software for drug discovery; and disease modeling of various diseases such as cardiovascular, cancer, and other infectious diseases. Furthermore, surge in demand for tools of computational biology in various fields such as genomics, epi-genomics, proteomics, and meta-genomics for better understanding of protein structure and interaction provides significant opportunities for existing players and new entrants.
However, complications such as allergic reactions that cannot be detected by computational biology and other post-surgery complications, unfavorable government scenario, high initial cost & maintenance costs of the instruments, lack of standardization, and shortage of skilled workforce are expected to be the significant restraints of the global market.
The computational biology market is segmented into Application, Services and End Use and region. By application, the market is segregated into cellular & biological simulation, drug discovery & disease modeling, pre-clinical drug development, clinical trials, and human body simulation software.
The cellular & biological simulation is sub-segmented into computer, genomics, computational proteomics, pharmacogenomics, and others. The drug discovery & disease modeling segregated into target identification, target validation, lead discovery, and lead optimization. The pre-clinical drug development segmented into pharmacokinetics and pharmacodynamics. The clinical trials are subcategorized into phase I, phase II, and phase III.
On the basis of services, the segment is divided into in-house services and contract. On the basis of end use the segment is divided into academics & research and commercials. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
[APPLICATIONGRAPH]
By application segment, the computational biology market size is divided into cellular and biological simulation, drug discovery & disease modeling, pre-clinical drug development, clinical trials and human body simulation software. The cellular & biological simulation segment was the highest revenue contributor to the market. Owing to increase in demand of virtual cells open-source software, computer genomics & computational proteomics also many private and commercial cloud platforms work in collaboration with governmental and public entities to provide cellular & biological simulation service are expected to drive the market growth.
The drug discovery & disease modeling segment is estimated to be the fastest growing segment during the computational biology market forecast. Owing to increase in number of drug development and rise in awareness regarding target selection by using various methods such as assay and readers, automation and high content screening.
[SERVICESGRAPH]
By services, the contract segment was the highest revenue contributor to the market. This is owing to the fact that contract services are cheap when compared to the in-house services provided worldwide. Contract Research Organization (CRO) pro service providers work with clients to develop a customized plan as per the requirements therefore, act as a driver to boost the growth of the market.
The in-house segment is estimated to be the fastest growing segment. In-house service provides a company with greater control over the execution of in-house tasks, since it is the direct employer-based services also because of the advantages such as cost and time saving.
[ENDUSEGRAPH]
By end use, the commercial segment was the highest revenue contributor to the market. Due to increasing investment in Research and Development (R&D) in genetic engineering and new drug discovery by public as well as private companies, which contribute in the growing demand for computational biology significantly.
The academics & research segment is fastest growing segment during the forecast period. Owing to increase in drug discovery & disease modeling process for various chronic diseases such as cancer, diabetes, cardiovascular diseases, and respiratory disorders that create demand for this segment also increase in demand for predictive models, usage in population-based sequencing projects such as human genome project, and government funding is contributing in the growth of computational biology market analysis.
[REGIONGRAPH]
Region wise, the computational biology market trend is analyzed across North America, Europe, Asia-Pacific, and LAMEA. North America was the largest shareholder in the computational biology market in 2021. Increase in demand of pharmacovigilance for the pre-clinical drug development and to conduct clinical trials, R&D investments, and supportive government initiatives are the major factors that drive growth of the computational biology market share.
LAMEA is estimated to grow fastest during the forecast period. Rise in number of product approval, increase in number of clinical trials procedures, surge in demand for bioinformatics tools & services emphasis of prominent players in enhancing their presence and high demand for advanced computational biology software in the region.
Key players operating in the global computational biology market growth include Altaris Capital Partner, Compugen Ltd., Certara, Genedata AG, Dassault Systems, DNAnexus, Nimbus Discovery, Instem, Rosa & co. Ltd., and Simulation Plus.
Key Market Segments
Key Market Players