Computational Biology Market By Application (Cellular & Biological Simulation, Drug Discovery & Disease Modelling, Preclinical Drug Development, Clinical Trials, Human Body Simulation Software), By Services (In-house, Contract), By End Use (Academics & Research, Commercial): Global Opportunity Analysis and Industry Forecast, 2021-2031
The global computational biology market was valued at $5,493.2 million in 2021, and is projected to reach $31,477.1 million by 2031, registering a CAGR of 19.5% from 2022 to 2031.
Computational biology is the inter-disciplinary applied science, which utilizes concepts of basic biology through the use of mathematical, theoretical, and computer simulation models to study biological systems, structures, and processes of life.. It entails the use of computational methods (e.g., algorithms) for the representation and simulation of biological systems as well as for the interpretation of experimental data, often on a very large scale.
The sequence and structural similarities of an unknown and a known protein as well as the proteins’ interactions with other molecules are used to make functional predictions. As such analyses can be lengthy, the demand for computational biology has increased rapidly., Therefore, these analyses guide the process of building 3D models of the target protein structure, which are then refined, ranked, and compared with one another to select the final predictions.. Biochemical, regulatory, and genetic pathways are highly branched and interleaved, as well as dynamic, necessitating the use of advanced computational methods to model and analyze them.
The COVID-19 pandemic has had an impact on the computational biology market. To curb the spread of COVID-19, governments around the world implemented harsh restrictions such as border locks, lockdowns, and tight social distancing measures. These measures had a significant impact on the global economy, affecting a variety of industries. Pharmaceutical and biotech companies together with governments around the globe are working to address the COVID-19 outbreak, from supporting the development of vaccines to planning for medicine supply chain challenges. Currently, around 115 vaccine candidates and 155 molecules are in the R&D pipeline.
Furthermore, the outbreak of COVID-19 led to high mortality, high contagion rate, and a lack of clinically approved drugs and vaccines. To find safe and effective therapeutic options to treat this infectious disease, computational biology plays an extremely relevant role to better understand the virus pathogenic mechanism as well as to propose novel therapeutic strategies. Accordingly, due to progress in computer science, in silico methodologies in medicinal chemistry, pharmacology, biology, genetics, and virology cover relevant tasks in modern research in these fields. Furthermore, due to the current global health warning, such computational techniques could speed up research to provide innovative and targeted approaches to fight the coronavirus emergency. Hence, computational biology will help the medical science field irreversibly to find a cure and boost the growth of the pharma market.
The growth of the global computational biology market is majorly driven by rise 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 interactions.. In addition, factors fueling the market growth include rise in R&D activities for drug discovery, surge in demand for predictive models, usage in population-based sequencing projects such as human genome project, and government funding.
The application of sophisticated algorithms and statistical models in computational biology to analyze biological data enables researchers to gather critical insights, which can be utilized for discovery of new drugs. Moreover, application of machine learning and artificial intelligence allowed researchers to develop a better understanding of biological systems, discovering new drugs, designing new proteins to cure diseases, and help in understanding genetic code to predict diseases. Several start-ups in computational biology provide software platform that contributes to the pharmaceutical development process. This is expected to contribute to revenue growth of the market.
Moreover, increase in demand from the contract research organization for computational biology drives the growth of the market. Contract research organization service providers work with clients to develop a customized plan as per the requirements. For instance, the Bioinformatics CRO, Inc. is a contract research organization that offers bioinformatics services to biotechnology companies worldwide.
The computational biology software/tools help in building custom analytical pipelines to generate more critical insights from data also it can be used to further analyze gene expression data from bulk and single-cell RNA-sequence, and perform network analysis such as Weighted Gene Co-expression Network Analysis (WGCNA). Various sectors such as the pharmaceutical, biotechnology, and medical device use computational biology for developing their products. Thus, rapid development of these sectors notably contributes toward the growth of the global computational biology market.
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 act as the key deterrent factors of the global market.
The global computational biology market is segmented into application, service, 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.
The major companies that operate in the computational biology market are Altaris Capital Partner, Compugen Ltd., Certara, Genedata AG, Dassault Systems, DNAnexus, Nimbus Discovery, Instem, Rosa & Co. Ltd, and Simulation Plus.
KEY BENEFITS FOR STAKEHOLDERS
This report entails a detailed quantitative analysis along with the current computational biology market trends from 2022 to 2031 to identify the prevailing opportunities along with the strategic assessment.
The computational biology market forecast is studied from 2022 to 2031.
The market size and estimations are based on a comprehensive analysis of key developments in the computational biology industry.
A qualitative analysis based on innovative products facilitates strategic business planning.
The development strategies adopted by the key market players are enlisted to understand the competitive scenario of the computational biology market.
Key Market Segments
By Application
Cellular Biological Simulation
Drug Discovery Disease Modelling
Preclinical Drug Development
Clinical Trials
Human Body Simulation Software
By Services
Contract
In-house
By End Use
Academics Research
Commercial
By Region
North America
U.S.
Canada
Mexico
Europe
Germany
France
United Kingdom
Italy
Spain
Rest of Europe
Asia-Pacific
Japan
China
Australia
India
South Korea
Rest of Asia-Pacific
LAMEA
Brazil
Saudi Arabia
South Africa
Rest of LAMEA
Key Market Players
Chemical Computing Group Inc.
Compugen Ltd.
Simulation Plus Inc.
Genedata AG
Certara
Insilico Biotechnology AG
Accelrys
Rhenovia Pharma SAS
Entelos
Nimbus Discovery LLC
Rhenovia Pharma SAS & Leadscope Inc.
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