Computational Biology Market
Computational Biology Market by Application (Cellular & Biological Simulation, Drug Discovery & Disease Modelling, Preclinical Drug Development, Clinical Trials), by Services (In-house, Contract), by End-Use (Academics, Industry, Commercial), by Region (North America, Europe, Asia Pacific, Latin America) - Global Industry Assessment (2016 - 2021) & Forecast (2022 - 2028)
|Forecast Years for Computational Biology Market:||2022 - 2028|
|Historical Years for Computational Biology Market:||2016 - 2021|
|Revenue 2021 for Computational Biology Market:||USD 4.14 Billion|
|Revenue 2028 for Computational Biology:||USD 10.82 Billion|
|Revenue CAGR (2022 - 2028) for Computational Biology Market :||18.1%|
|Fastest Growing Region (2022 - 2028) for Computational Biology Market:||Asia Pacific|
|Largest Region (2021) for Computational Biology Market:||North America|
Global Computational Biology Market is valued at USD 4.14 Billion in 2021 and is projected to attain a value of USD 10.82 Billion by 2028 at a CAGR of 18.1% during the forecast period, 2022–2028. Computational Biology is an inter-disciplinary applied science that studies biological systems using mathematical, theoretical, and computer simulation models based on basic biology concepts. The rise in R&D for drug development, need for predictive models, use in population-based sequencing efforts like the human genome project, and government financing are all driving market expansion.
Computational Biology uses computer-aided biological models to generalize methods and properly depict simulations in virtual space to review difficulties in biological models. Computational genetics is a branch of Computational Biology that studies genomic homology and internal biological systems through genome sequencing. One of the most notable examples is the Human Genome Project, which successfully sequenced the whole human genome. Computational Biology is used in neurology to see and comprehend three-dimensional simulation models of the brain by mapping complicated interconnected pathways. In the drug development process, computational pharmacology makes use of computer-aided visualization techniques to simulate advanced drug-drug interactions.
Rising R&D Funding and Growing Initiatives
Growing drug discovery R&D, demand for predictive models, use in population-based sequencing efforts like the human genome project, and government financing are all driving the market forward. For example, in March 2019, Ambrx Inc., a clinical-stage bio-pharmaceutical firm specializing in protein treatments, struck a research and development agreement with BeiGene, Ltd., a commercial-stage pharmaceutical company specializing in immuno-oncology medication development. Ambrx has developed a unique Expanded Genetic Code platform that allows non-natural amino acids to be incorporated into protein sequences in E. coli and Chinese Hamster Ovary (CHO) cells. Both companies will use Ambrx's drug discovery platforms in conjunction with the latter's expertise and resource pool to produce clinically advanced biologic products.
The Global Computational Biology Market has been segmented by Application into Cellular & Biological Simulation, Drug Discovery & Disease Modelling, Pre-clinical Drug Development and Clinical Trials. By Services, into In-house and Contract. By End-Use into Academics, Industry and Commercial. Based on Region, the Computational Biology Market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
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The Computational Biology market is divided into five categories based on application: cellular and biological simulation, drug discovery and illness modelling, pre-clinical drug development, clinical trials, and human body simulation software. Computational genomics and proteomics, pharmacogenomics, and other types of cellular and biological simulation exist. Target identification, target validation, lead finding, and optimization are all parts of drug discovery and disease modelling. Pharmacokinetics and pharmacodynamics are two subcategories of pre-clinical development. Clinical trials are divided into three phases: phase I, phase II, and phase III.
North America to Continue Dominating the Computational Biology Market
North America, Europe, and Asia Pacific accounted for the greatest proportion of the Computational Biology market in 2021. Factors such as the increase in the number of well-established Computational Biology companies and research institutes in the United States and Canada, a large number of ongoing research studies, and the overall growth of the healthcare sector on a global scale are among the few factors expected to contribute to the market's growth. One of the primary causes leading to the growing demand for Computational Biology techniques and technologies among academic and research organisations, as well as healthcare firms in North America, is increased R&D spending.
Some of the key players in the Computational Biology market are Chemical Computing Group Inc.; Compugen Ltd.; Simulation Plus Inc.; Genedata AG; Certara; Insilico Biotechnology AG; Accelrys; Rhenovia Pharma SAS; Entelos; Nimbus Discovery LLC; and Rhenovia Pharma SAS.
The Computational Biology market is segmented as follows:
Regions & Countries Covered
Market growth drivers, restraints, opportunities, Porter’s five forces analysis, PEST
analysis, value chain analysis, regulatory landscape, technology landscape, patent analysis, market
attractiveness analysis by segments and North America, company market share analysis, and COVID-19
The Computational Biology market tabulated as below:
Frequently Asked Questions
the global demand for Computational Biology
in terms of revenue?
The global Computational Biology valued at USD 4.14 Billion in 2020 and is expected to reach USD 10.82 Billion in 2028 growing at a CAGR of 18.1%
are the prominent players
in the market?
The prominent players in the market are Dassault Systèmes SE (France), Chemical Computing Group ULC (Canada), Genedata AG (Switzerland), Instem PLC (UK) , Compugen Ltd (Israel)..
At what CAGR is the market projected to grow within the forecast period?
The market is project to grow at a CAGR of 18.1% between 2021 and 2028.
the driving factors
fueling the growth of the market.
The driving factors of the Computational Biology include
- Rising R&D Funding and Growing Initiatives
region accounted for the
largest share in the market?
North America was the leading regional segment of the Computational Biology in 2020.