Global Computational Biology Market to Reach $7.51 Billion by 2028, Fueled by Explosive Growth in Biological Data

Dublin, Nov. 06, 2023 (GLOBE NEWSWIRE) -- The "Global Computational Biology Market - Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028" report has been added to's offering.

The Global Computational Biology Market, valued at USD 4.89 billion in 2022, is set to experience robust growth with an expected Compound Annual Growth Rate (CAGR) of 7.49% until 2028.

This market revolves around the application of computational techniques, including algorithms, data analysis, and mathematical modeling, to analyze and interpret biological data, impacting diverse sectors within life sciences such as genomics, proteomics, drug discovery, and personalized medicine.

Key Market Drivers

  1. Explosion in Biological Data: The field of biology has entered a new era characterized by an unprecedented surge in biological data. Computational biology leverages advanced algorithms and data analysis techniques to make sense of this wealth of information, driven by breakthroughs like high-throughput DNA sequencing, single-cell sequencing, and multi-omics data integration.
  2. Advancements in Genomics: The genomics field has witnessed remarkable advancements, particularly with the synergy between genomics and computational biology. The completion of the Human Genome Project and the advent of next-generation sequencing (NGS) technologies have led to a wealth of genomic data. Computational biology plays a vital role in analyzing this data to gain insights into genetics, evolution, and disease susceptibility.
  3. Drug Discovery and Development: Computational biology accelerates various aspects of drug discovery, including in-silico drug screening, predicting drug-target interactions, and optimizing lead compounds. This data-driven approach significantly reduces the time and cost of bringing new drugs to market, making it indispensable in pharmaceutical research.
  4. Collaboration and Cross-Industry Partnerships: Cross-industry collaborations and partnerships fuel innovation in the computational biology market. Collaboration between research organizations, academic institutions, and pharmaceutical companies facilitates knowledge exchange, data sharing, and resource synergy, driving progress in the field.

Key Market Challenges

  1. Data Complexity and Volume: The exponential growth of biological data presents challenges in handling, storing, and analyzing massive datasets, requiring robust computational infrastructure and efficient algorithms.
  2. Data Privacy and Security: Sensitive biological data, especially genomic information, requires stringent data privacy measures to gain public trust and comply with evolving data protection laws.
  3. Interoperability and Standardization: Lack of standardization in data formats and analysis methods hinders data sharing and collaboration. Establishing common data standards and interoperable tools is crucial.
  4. Shortage of Skilled Workforce: The multidisciplinary nature of computational biology demands professionals with expertise in biology, computer science, mathematics, and statistics. A shortage of skilled talent poses recruitment challenges for organizations.

Key Market Trends

  1. Single-Cell Omics Revolution: Single-cell sequencing and omics technologies gain momentum, necessitating advanced computational tools for analyzing and interpreting intricate single-cell datasets.
  2. Spatial Transcriptomics: Emerging spatial transcriptomics combines genomics with spatial information, offering insights into the spatial organization of cells. Computational methods for spatial data analysis will be in high demand.
  3. Multi-Omics Integration: Integration of multiple omics data sources provides a holistic view of biological systems. Computational tools facilitating multi-omics data integration and analysis will uncover intricate interactions and pathways.
  4. Blockchain for Data Security: Ensuring data security and privacy, especially with sensitive genomic information, blockchain technology emerges as a solution for secure and transparent data management.

Key Market Players

  • Dassault Systemes SE
  • Certara Inc
  • Chemical Computing Group ULC
  • Compugen Ltd
  • Rosa & Co. LLC
  • GeneData AG
  • Insilico Biotechnology AG
  • Instem PLC
  • Strand Life Sciences Pvt Ltd
  • Schrodinger Inc

Report Scope

In this report, the Global Computational Biology Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Computational Biology Market, by Application:

  • Cellular and Biological Simulation
  • Drug Discovery and Disease Modelling
  • Preclinical Drug Development
  • Clinical Trials
  • Human Body Simulation Software

Computational Biology Market, by Tool:

  • Databases
  • Infrastructure (Hardware)
  • Analysis Software and Services

Computational Biology Market, by Service:

  • In-house
  • Contact

Computational Biology Market, by End User:

  • Academics
  • Industry and Commercials

Computational Biology Market, by Region:

  • North America
  • Europe
  • Asia-Pacific
  • South America
  • Middle East & Africa

Key Attributes:

Report AttributeDetails
No. of Pages190
Forecast Period2022 - 2028
Estimated Market Value (USD) in 2022$4.89 Billion
Forecasted Market Value (USD) by 2028$7.51 Billion
Compound Annual Growth Rate7.4%
Regions CoveredGlobal

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Global Computational Biology Market