Global computational biology market

Computational Biology Market Size, Share, Growth Analysis, By Application(Cellular, Biological Simulation), By End-User(Academics, Commercial), By Service(In-House and Contract) - Industry Forecast 2024-2031


Report ID: SQMIG35A2634 | Region: Global | Published Date: February, 2024
Pages: 165 | Tables: 90 | Figures: 76

Computational Biology Market Insights

Global Computational Biology Market size was valued at USD 6880 million in 2019 and is poised to grow from USD 4527.82 million in 2023 to USD 18083.66 million by 2031, growing at a CAGR of 18.89% in the forecast period (2024-2031).

The multidisciplinary applied discipline known as computational biology uses concepts from fundamental biology to explore biological systems using mathematical, theoretical, and computer simulation models. The increase in drug discovery research and development, the demand for predictive models, their use in population-based sequencing efforts like the human genome project, and government financing are all driving the market's expansion.

Computing-aided biological models are used in computational bio-modeling to precisely display simulation and review the intricacies of biological models in a virtual environment. The study of genomic homology and internal biological systems is the focus of the computational genetics subfield of computational biology. One of the best instances is the Human Genome Project, in which the entire human genome was successfully sequenced.

Computational biology is used in neurology to view and understand three-dimensional simulation models of the brain by mapping complicated interconnected pathways. When developing new drugs, computational pharmacology simulates complex drug-drug interactions using computer-aided visualisation methods.

The market is expanding as a result of rising R&D for drug development, need for predictive models, application in population-based sequencing efforts like the human genome project, and government financing. For instance, in March 2019, BeiGene, Ltd., a commercial stage pharmaceutical firm engaged in the development of immuno-oncology medications, and Ambrx Inc., a clinical-stage biopharmaceutical company focused on the field of protein therapies, signed an R&D collaboration agreement. In order to introduce an artificial amino acid into the protein sequences of both E. coli and Chinese Hamster Ovary (CHO) cells, Ambrx has developed a patented Expanded Genetic Code platform. Through this partnership, both parties will benefit from Ambrx's drug discovery platforms as well as the latter's knowledge, expertise, and resource pool to produce biologic therapies that are clinically advanced.

Pharmaceutical industry participants are turning away from conventional techniques of clinical trials and toward predictive models as a result of the growing costs of pharmaceuticals and the steadily rising rate of drug failure in late stages of clinical trials. As a result, the global market for computational biology is expanding significantly thanks to the rising demand for predictive models. The market is also being driven by the rising financing for research and development in this area from public and commercial institutions.

US Computational Biology Market is poised to grow at a sustainable CAGR for the next forecast year.

Market snapshot - 2024-2031

Global Market Size

USD 6880 million

Largest Segment

Commercial

Fastest Growth

Commercial

Growth Rate

18.89% CAGR

Global Computational Biology Market 2021-2028 ($ Bn)
Country Share for North America Region- 2021 (%)
Global Computational Biology MarketSize By End-user 2021-2028 ($ Bn)
Global Computational Biology MarketSize By End-user 2021-2028 (%)

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Computational Biology Market Segmental Analysis

The global computational biology market has been segmented based on application, end-user, service, and region. Based on application, the market is segmented into cellular and biological simulation, drug discovery, disease modeling, and others. Based on the end-user, the market is segmented into academics, commercial, and pharmaceutical. By service, the market is segmented into In-House and Contract. Based on region, the market is segmented into North America, Europe, Asia-Pacific, South America, and MEA.

Computational Biology Market Analysis by End-User

During the forecast period, it is anticipated that the commercial segment would see a quick CAGR. Computational biology is a field that is expanding and becoming more popular because of advancements in computer hardware and software. It is anticipated that the demand for IT services will increase dramatically, which will help fuel the growth of the market. Similar to this, the market is also anticipated to rise as a result of the quick development of specialised AI microchip processes and the accessibility of enormous amounts of real-time data. A high-performance parallel computing device called an AI accelerator is created especially for the effective processing of AI workloads like neural networks. Large-scale stochastic biological reaction network simulation can be facilitated by accelerators. It can also be used to target particular candidates with the lowest failure potential and define early hazards during drug discovery initiatives. Similar to this, many computational biology techniques can be used in conjunction with next-generation sequencing as a crucial tool for interpreting mutational data from extensive resequencing investigations. Throughout the projection period, this is anticipated to considerably contribute to the segment's revenue growth.

Global Computational Biology MarketBy End-user 2021 (%), 2023 (%)

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Computational Biology Market Regional Insights

North America contributes to the largest market share and It is anticipated that will significantly impact the worldwide industry. During the projected period, strong government support for genetically based research, an increase in public-private partnerships, and industry-academia cooperation are anticipated to be favourable factors for regional growth.

Due to government-funded population-based studies and foreign investments, Asia Pacific is expected to experience considerable growth during the projection period. For instance, the New South Wales (NSW) provincial government funds aspiring researchers at the Garvan Institute of Medical Research who are engaged in genetic medicine research each year. Additionally, favourable regional government efforts and policies are anticipated to boost the area market in the ensuing years.

Global Computational Biology Market By Geography, 2021-2028, 2024-2031
  • Largest
  • Fastest

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Computational Biology Market Dynamics

Computational Biology Market Driver

  • Demand for computational biology is anticipated to increase as better computational tools for genome sequencing become more widely available. Computer programmes assist in creating PCR primers, display restriction enzyme cut sites on any piece of DNA, convert DNA sequences into amino acid sequences, and perform a variety of other tasks. Scientists may now easily get a wealth of information about the structure of genes, their encoded message, and many other topics because to the expanding availability of databases and sequence analysis software. By locating functionally significant protein sequences in these sizable datasets, computational methods improve the efficiency of the drug creation process. For instance, the protein targets found in microbial genomes can be used to destroy diseases or create useful enzymes that can be further commercialised. The computer-based prediction of protein function is the most efficient way for selecting valuable proteins from large genetic databases.
  • Furthermore, the quickening pace of sequence design tools helps scientists modify existing genes for improved protein expression. Such computational techniques support the creation of synthetic DNA sequences based on genetic components, which are functional building blocks. GenoCAD, for example, is a tool that simplifies the creation of synthetic DNA sequences by relying on formal design principles and the idea of grammars, which are collections of rules outlining the structure of DNA sequences. During the forecast period, this is anticipated to have a substantial impact on the market's revenue growth.

Computational Biology Market Restraint

  • Global computational biology market has been constrained by a lack of competent workers and uniformity. The study of computational biology necessitates excellent programming, arithmetic, and statistics skills, as well as a solid grasp of cloud computing and the biological sciences. Additionally,  as it is an interdisciplinary field, the lack of a set curriculum is predicted to hinder young graduates' ability to expand their skills. Additionally, there are no established techniques in computational biology to identify issues like allergic responses and other post-surgery consequences. These elements are anticipated to limit market revenue growth.

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Computational Biology Market Competitive Landscape

Given the presence of multiple significant competitors, the computational biology market is predicted to become extremely competitive in the near future. Mid-size to smaller businesses are expanding their market presence by releasing new products with lower prices as a result of rising technical breakthroughs and product innovations. Major companies in the market are concentrated on developing new items to extend their product portfolio as well as on implementing collaborative methods to increase their market share. For instance, Genedata, AG released Genedata Imagence 2.0, the most recent iteration of its corporate software for high-content screening (HCS) image analysis, in May 2020.

Top Players in the Global Computational Biology Market

  • Certara
  • Insilico Biotechnology AG 
  • Strand Life Sciences
  • Thermo Fisher Scientific Inc.
  • Illumina, Inc.
  • Qiagen N.V.
  • PerkinElmer Inc.
  • Agilent Technologies, Inc.
  • Dassault Systemes
  • Genedata AG
  • Biomax Informatics AG
  • Compugen Ltd.
  • Rhenovia Pharma SAS
  • Chemical Computing Group Inc.
  • Simulation Plus, Inc.
  • InSilico Medicine, Inc.
  • Geneious Biologics
  • Novo Informatics Pvt. Ltd.
  • Precision for Medicine, Inc.
  • Schrödinger, Inc.

Computational Biology Market Recent Development

  • In April 2022, Schrödinger, Inc. (Nasdaq: SDGR), whose physics-based software platform is transforming the way therapeutics and materials are discovered, announced that the company granted non-statutory stock options to purchase an aggregate of 101,715 shares of the company's common stock to 30 newly hired employees, including six freshly hired employees based in India and one newly hired employee based in Japan.
  • In May 2022, Genedata, the leading supplier of enterprise software solutions for biopharmaceutical Research and Development, announced that Ajinomoto, a multinational provider to the biopharmaceutical industry of cell culture media and development and manufacturing services (CDMO), has implemented Genedata Bioprocess® to digitalize and automate their R&D and manufacturing operations in Japan and Korea.
  • In May 2021 Certara, Inc., the world leader in biosimulation, has released new versions of its Quantitative Systems Pharmacology (QSP) Simulators for Immunogenicity (IG) and Immuno-oncology (IO) to aid in the development of biologics and cancer treatments.
  • In April 2021, Peptilogics, a biotechnology platform company leveraging computational design to discover novel peptide therapeutics, announced the successful completion of Phase 1 clinical trial for its lead compound PLG0206, a potent, broad-spectrum anti-infective that has been granted FDA Orphan Drug Designation and Qualified Infectious Disease Product Designation for its initial focus on the treatment of prosthetic joint infections (PJI).
  • In March 2021, Compugen Ltd., a clinical-stage cancer immunotherapy company and a leader in predictive target discovery, has published a review article titled "Therapeutic Targeting of Checkpoint Receptors within the DNAM-1 Axis," which looks at the biology and therapeutic relevance of the DNAM-1 axis in cancer immunotherapy.
  • In January 2021, AsclepiX Therapeutics Inc., a biopharmaceutical company using computational biology to identify potent peptide regulators of vascular and cellular homeostasis for the treatment of retinal and oncologic diseases, announced that the first patient has been dosed in the Phase 1/2a CONGO clinical trial to evaluate the safety and bioactivity of AXT107 in patients with Diabetic Macular Edema (DME).

Computational Biology Key Market Trends

  • The growing number of clinical studies in the area of pharmacogenomics is the main factor driving the global market for computational biology. This has improved knowledge of the patient population's varied biological make-up, biological pathways, and the genomes that underlie them. Computational biology solutions are in high demand since they shorten the duration of various scientific investigations and the search for new drugs. In addition, a rising need for computational biology in the fields of epigenomics, proteomics, and meta-genomics to understand protein structures and interactions is also boosting the market growth. Additionally, significant technological developments in disease modeling and drug development, as well as increased investments in research and development (R&D) activities by both private and public institutions, are also anticipated.

Computational Biology Market SkyQuest Analysis

SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Co-relates, and Analyses the Data collected using Primary Exploratory Research backed by robust Secondary Desk research.

According to our analysis, by end-user, the commercial segment dominated the global computational biology market in 2021 and is anticipated to maintain its dominance throughout the forecast period. In 2021, North America dominated the global market owing to the region's strong government support for genetically based research, an increase in public-private partnerships, and industry-academia cooperation.

Report Metric Details
Market size value in 2023 USD 6880 million
Market size value in 2031 USD 18083.66 million
Growth Rate 18.89%
Forecast period 2024-2031
Forecast Unit (Value) USD Million
Segments covered
  • Application
    • Cellular, Biological Simulation, Drug Discovery, Disease Modeling, Others
  • End-User
    • Academics, Commercial, Pharmaceutical
  • Service
    • In-House and Contract
Regions covered North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA)
Companies covered
  • Certara
  • Insilico Biotechnology AG 
  • Strand Life Sciences
  • Thermo Fisher Scientific Inc.
  • Illumina, Inc.
  • Qiagen N.V.
  • PerkinElmer Inc.
  • Agilent Technologies, Inc.
  • Dassault Systemes
  • Genedata AG
  • Biomax Informatics AG
  • Compugen Ltd.
  • Rhenovia Pharma SAS
  • Chemical Computing Group Inc.
  • Simulation Plus, Inc.
  • InSilico Medicine, Inc.
  • Geneious Biologics
  • Novo Informatics Pvt. Ltd.
  • Precision for Medicine, Inc.
  • Schrödinger, Inc.
Customization scope

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  • Market dynamics & outlook
  • Region

Historical Year 2019

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Table Of Content

Executive Summary

Market overview

  • Exhibit: Executive Summary – Chart on Market Overview
  • Exhibit: Executive Summary – Data Table on Market Overview
  • Exhibit: Executive Summary – Chart on Computational Biology Market Characteristics
  • Exhibit: Executive Summary – Chart on Market by Geography
  • Exhibit: Executive Summary – Chart on Market Segmentation
  • Exhibit: Executive Summary – Chart on Incremental Growth
  • Exhibit: Executive Summary – Data Table on Incremental Growth
  • Exhibit: Executive Summary – Chart on Vendor Market Positioning

Parent Market Analysis

Market overview

Market size

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • SWOT Analysis

KEY MARKET INSIGHTS

  • Technology Analysis
    • (Exhibit: Data Table: Name of technology and details)
  • Pricing Analysis
    • (Exhibit: Data Table: Name of technology and pricing details)
  • Supply Chain Analysis
    • (Exhibit: Detailed Supply Chain Presentation)
  • Value Chain Analysis
    • (Exhibit: Detailed Value Chain Presentation)
  • Ecosystem Of the Market
    • Exhibit: Parent Market Ecosystem Market Analysis
    • Exhibit: Market Characteristics of Parent Market
  • IP Analysis
    • (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
  • Trade Analysis
    • (Exhibit: Data Table: Import and Export data details)
  • Startup Analysis
    • (Exhibit: Data Table: Emerging startups details)
  • Raw Material Analysis
    • (Exhibit: Data Table: Mapping of key raw materials)
  • Innovation Matrix
    • (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
  • Pipeline product Analysis
    • (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
  • Macroeconomic Indicators

COVID IMPACT

  • Introduction
  • Impact On Economy—scenario Assessment
    • Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
  • Revised Market Size
    • Exhibit: Data Table on Computational Biology Market size and forecast 2021-2027 ($ million)
  • Impact Of COVID On Key Segments
    • Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
  • COVID Strategies By Company
    • Exhibit: Analysis on key strategies adopted by companies

MARKET DYNAMICS & OUTLOOK

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • Regulatory Landscape
    • Exhibit: Data Table on regulation from different region
  • SWOT Analysis
  • Porters Analysis
    • Competitive rivalry
      • Exhibit: Competitive rivalry Impact of key factors, 2021
    • Threat of substitute products
      • Exhibit: Threat of Substitute Products Impact of key factors, 2021
    • Bargaining power of buyers
      • Exhibit: buyers bargaining power Impact of key factors, 2021
    • Threat of new entrants
      • Exhibit: Threat of new entrants Impact of key factors, 2021
    • Bargaining power of suppliers
      • Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
  • Skyquest special insights on future disruptions
    • Political Impact
    • Economic impact
    • Social Impact
    • Technical Impact
    • Environmental Impact
    • Legal Impact

Market Size by Region

  • Chart on Market share by geography 2021-2027 (%)
  • Data Table on Market share by geography 2021-2027(%)
  • North America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • USA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Canada
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Europe
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Germany
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Spain
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • France
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • UK
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Europe
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Asia Pacific
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • China
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • India
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Japan
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Korea
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Asia Pacific
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Latin America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Brazil
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of South America
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Middle East & Africa (MEA)
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • GCC Countries
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Africa
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of MEA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)

KEY COMPANY PROFILES

  • Competitive Landscape
    • Total number of companies covered
      • Exhibit: companies covered in the report, 2021
    • Top companies market positioning
      • Exhibit: company positioning matrix, 2021
    • Top companies market Share
      • Exhibit: Pie chart analysis on company market share, 2021(%)

Methodology

For the Computational Biology Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:

1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.

2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Computational Biology Market.

3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.

4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.

Analyst Support

Customization Options

With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Computational Biology Market:

Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.

Regional Analysis: Further analysis of the Computational Biology Market for additional countries.

Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.

Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.

Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.

Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.

Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.

Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.

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FAQs

Computational Biology Market size was valued at USD 6880 million in 2019 and is poised to grow from USD 4527.82 million in 2023 to USD 18083.66 million by 2031, growing at a CAGR of 18.89% in the forecast period (2024-2031).

Given the presence of multiple significant competitors, the computational biology market is predicted to become extremely competitive in the near future. Mid-size to smaller businesses are expanding their market presence by releasing new products with lower prices as a result of rising technical breakthroughs and product innovations. Major companies in the market are concentrated on developing new items to extend their product portfolio as well as on implementing collaborative methods to increase their market share. For instance, Genedata, AG released Genedata Imagence 2.0, the most recent iteration of its corporate software for high-content screening (HCS) image analysis, in May 2020. 'Certara', 'Insilico Biotechnology AG ', 'Strand Life Sciences', 'Thermo Fisher Scientific Inc.', 'Illumina, Inc.', 'Qiagen N.V.', 'PerkinElmer Inc.', 'Agilent Technologies, Inc.', 'Dassault Systemes', 'Genedata AG', 'Biomax Informatics AG', 'Compugen Ltd.', 'Rhenovia Pharma SAS', 'Chemical Computing Group Inc.', 'Simulation Plus, Inc.', 'InSilico Medicine, Inc.', 'Geneious Biologics', 'Novo Informatics Pvt. Ltd.', 'Precision for Medicine, Inc.', 'Schrödinger, Inc.'

Demand for computational biology is anticipated to increase as better computational tools for genome sequencing become more widely available. Computer programmes assist in creating PCR primers, display restriction enzyme cut sites on any piece of DNA, convert DNA sequences into amino acid sequences, and perform a variety of other tasks. Scientists may now easily get a wealth of information about the structure of genes, their encoded message, and many other topics because to the expanding availability of databases and sequence analysis software. By locating functionally significant protein sequences in these sizable datasets, computational methods improve the efficiency of the drug creation process. For instance, the protein targets found in microbial genomes can be used to destroy diseases or create useful enzymes that can be further commercialised. The computer-based prediction of protein function is the most efficient way for selecting valuable proteins from large genetic databases.

The growing number of clinical studies in the area of pharmacogenomics is the main factor driving the market for computational biology. This has improved knowledge of the patient population's varied biological make-up, biological pathways, and the genomes that underlie them. Computational biology solutions are in high demand since they shorten the duration of various scientific investigations and the search for new drugs. In addition, a rising need for computational biology in the fields of epigenomics, proteomics, and meta-genomics to understand protein structures and interactions is also boosting the market growth. Additionally, significant technological developments in disease modeling and drug development, as well as increased investments in research and development (R&D) activities by both private and public institutions, are also anticipated.

North America contributes to the largest market share and It is anticipated that will significantly impact the worldwide industry. During the projected period, strong government support for genetically based research, an increase in public-private partnerships, and industry-academia cooperation are anticipated to be favourable factors for regional growth.

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