The global computational biology market reached a value of US$ 3.9 Billion in 2021. Looking forward, IMARC Group expects the market to reach US$ 12.8 Billion by 2027, exhibiting a CAGR of 22.1% during 2022-2027. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use sectors. These insights are included in the report as a major market contributor.

Computational biology, also known as bioinformatics, is the interdisciplinary branch of science that uses math, statistics and computer science for understanding and modeling the structures and processes of life. It involves various aspects of biology, such as genetics, evolution, cell biology, and biochemistry. The process uses computational techniques, including algorithms, to represent and simulate biological systems and interpret experimental data on a large scale. Computational biology also helps understand the treatment for diseases and cellular function by creating a database of biological information from amino-acid sequences, nucleotides, and macromolecular structures. Nowadays, computational biology has become an essential part of biological research projects, including the human genome project, protein data banks and genomic databases.

Computational Biology Market Trends:
The global computational biology market is primarily driven by the rising number of clinical studies in the field of pharmacogenomics. This has helped increase the understanding of the diverse biological makeup of the patient population, biological pathways, and the genomes underpinning them. As a result, there is a high demand for computational biology solutions, as they help reduce the overall time needed for drug discovery and various other scientific experiments. The process also aids the visualization of tools to simulate advanced drug-drug interactions. In addition to this, the growing demand for computational biology in epi-genomics, proteomics, and meta-genomics to undertint protein structures and interactions is also propelling the market growth. Furthermore, various technological advancements in drug development and disease modeling, along with increasing investments by private and government organizations in research and development (R&D) activities, are also anticipated to provide a positive thrust to the market in the near future.

Key Market Segmentation:
IMARC Group provides an analysis of the key trends in each sub-segment of the global computational biology market, along with forecasts at the global, regional and country level from 2022-2027. Our report has categorized the market based on application, services and end use.

Breakup by Application:

Cellular and Biological Simulation
Computational Genomics
Computational Proteomics
Pharmacogenomics
Others
Drug Discovery and Disease Modelling
Target Identification
Target Validation
Lead Discovery
Lead Optimization
Preclinical Drug Development
Pharmacokinetics
Pharmacodynamics
Clinical Trials
Phase I
Phase II
Phase III
Human Body Simulation Software

Breakup by Services:

In-house
Contract

Breakup by End Use:

Academics
Pharmaceutical Industry
Commercial

Breakup by Region:

North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa

Competitive Landscape:
The competitive landscape of the industry has also been examined along with the profiles of the key players being Certara, Chemical Computing Group ULC, Compugen Ltd, Dassault Syst?mes, Genedata AG, Insilico Biotechnology AG, Instem plc, Nimbus Therapeutics LLC, Schr?dinger Inc. and Simulations Plus Inc.

Key questions answered in this report:
How has the global computational biology market performed so far and how will it perform in the coming years?
What has been the impact of COVID-19 on the global computational biology market?
What are the key regional markets?
What is the breakup of the market based on the application?
What is the breakup of the market based on the services?
What is the breakup of the market based on the end use?
What are the various stages in the value chain of the industry?
What are the key driving factors and challenges in the industry?
What is the structure of the global computational biology market and who are the key players?
What is the degree of competition in the industry?