Computational Biology Market Outlook, Key Segmentation, Development Factors and Forecast 2022-2027

Computational biology refers to a branch of biology that involves the application of computer science to study the processes of life.


Mark Smith

a year ago | 3 min read

According to IMARC Group latest report titled “Computational Biology Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2027”, offers a comprehensive analysis of the industry, which comprises insights on global computational biology industry size. The report also includes competitor and regional analysis, and contemporary advancements in the global market. 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.

Computational biology refers to the branch of biology that utilizes math, computer science, and statistics to understand and model the structures and processes of life. It involves the utilization of computational approaches, such as algorithms, representation and simulation of biological systems, along with the interpretation of experimental data on an extensive scale for conducting biological research projects, including protein data banks, genomic databases, and human genome projects. It also aids in understanding the treatment of diseases and cellular function by creating a biological information database from nucleotides, amino-acid sequences, and macromolecular structures.

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Market Trends:

An increasing number of clinical studies in the field of pharmacogenomics for understanding the diverse biological makeup of the biological pathways, the genomes and the patient population is one of the major factors driving the market. In addition to this, the growing adoption of computational biology solutions for drug discovery and for various scientific experiments is significantly supporting the market across the globe. Moreover, continuous technological advancements in drug development and disease-determining processes are creating a positive market outlook. Other factors driving the market include rapid urbanization, continual improvements in the healthcare infrastructure and increasing investments by private and government organizations  in extensive research and development (R&D) activities in the field of life science.

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Competitive Landscape with Key players:

The report has also analysed the competitive landscape of the market with some of the key players being.

  • Certara
  • Chemical Computing Group ULC
  • Compugen Ltd
  • Dassault Systèmes
  • Genedata AG
  • Insilico Biotechnology AG
  • Instem plc
  • Nimbus Therapeutics LLC
  • Schrödinger Inc.
  • Simulations Plus Inc

Computational Biology Market Segmentation:

Our report has categorized the market based on region, application, services and end use industry.

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)
  • Europe (Germany, France, United Kingdom, Italy, Spain, Others)
  • Asia Pacific (China, Japan, India, Australia, Indonesia, Korea, Others)
  • Latin America (Brazil, Mexico, Others)
  • Middle East and Africa (United Arab Emirates, Saudi Arabia, Qatar, Iraq, Other)

Key highlights of the report:

  • Market Performance (2016-2021)
  • Market Outlook (2022-2027)
  • Porter’s Five Forces Analysis
  • Market Drivers and Success Factors
  • SWOT Analysis
  • Value Chain
  • Comprehensive Mapping of the Competitive Landscape

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Created by

Mark Smith







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