Computational Biology Market Size to Reach USD 16.58 Billion in 2027 | Industry Trend – Rapid Advancements and Growth in the Field of Computational Biology

Emergen Research has recently published its latest report titled “Computational Biology Market By Service-Type (In-House, Contract), By Application (Cellular & Biology Simulation, Drug discovery and disease modeling, Pre-clinical drug development), By End-Use (Academics, Industry, Commercial), and By Region, and By Region Forecast to 2027.”

According to Emergen Research, the global computational biology market size was USD 3.58 Billion in 2019 and is expected to reach USD 16.58 Billion in 2027 and register a revenue CAGR of 22.4% during the forecast period, 2020-2027.

Market Dynamics:

Computational biology is an integrated approach that employs high performance computers, state-of-the-art software and algorithms, statistical analysis, and mathematical modeling to uncover and identify the complexity of biological systems. Over the recent past, computational biology has made tremendous advances and integration of heterogeneous big data has helped in uncovering trends in human health and identifying and classifying disease-associated genes. Computational biology enables efficient filtration, prioritization, and provision of data-based hypotheses and leads when there are a huge number of candidate experimental targets.

Computational biology has enabled a more reliable multiscale biological modeling and has led to development of software for inferring molecular interactions. Computation biology has also streamlined clinical workflows, helped understand complex diseases, and accelerated microbiome research and these key factors are expected to drive market revenue growth over the forecast period.

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Computational biology has optimized clinical and biological research due to rapid advancements in computing power and machine architectures. Computational biology analyzes large genomic, proteomic, microarray, clinical data, and cell & tissue imaging to generate robust statistical trends and correlate them with the outcomes. Computational biology leverages high-throughput genomic and proteomic methods to integrate data, identify and validate biomarkers, discover novel therapeutic targets, and rapidly translate the findings and this has further boosted its application in clinical research. However, lack of proper knowledge regarding computational biology, complexities in identifying and eliminating vast number of variables, and increasing costs associated with development of new computational methods are some factors that can hamper market revenue growth of the market to a certain extent over the forecast period.

COVID-19 Impact Analysis 

  • Social distancing and restrictions severely disrupted businesses and operations
  • Lockdowns caused disruptions in transportation and logistics
  • Impacted manufacturing activities and mining operations globally
  • Took a toll on economy of various countries
  • Caused sudden and drastic downturn in economic activity
  • Disrupted agriculture, fisheries, dairy, and other sectors
  • Caused loss of employment and financial crisis
  • Supply impacts were further compounded owing to reduced disposable income
  • Emergence of variants continue to cause concerns and impact normal routines

Cellular & Biology Simulation Application Segment to Dominate other Segments:

Cellular & biology simulation segment is expected to dominate other application segment in terms of revenue share over the forecast period attributable to increasing use of computational biology to develop cellular models to understand biological and physiological functions of cells, rising demand for personalized medicines, and rapid progress in pharmacogenomics leading to development of safer drugs.

Commercial Segment Revenue to Support Market Growth:

Commercial segment is expected to account for a significantly large revenue share over the forecast period attributable to increasing use of computation biology in commercial sector for large scale analysis, developments in IT technologies and advancements in cloud computing, increasing number of clinical trials and drug discovery research studies, and growing adoption of third-party services.  

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Asia Pacific to Lead in Terms of Revenue CAGR:

Asia Pacific market revenue to expand at a significant growth rate over the forecast period attributable to increasing number of clinical research studies, growing investment from government to accelerate biological research, technological advancements and development of robust software for clinical studies, rising awareness regarding benefits of computational biology, increasing demand for personalized medicine, and implementation of support regulatory policies.

Major Companies in the Market Include:

  • Chemical Computing Group
  • Compugen
  • Simulation Plus
  • Genedata
  • Certara
  • Insilico Biotechnology
  • Accelrys
  • Rhenovia Pharma
  • Entelos
  • Nimbus Discovery

For the purpose of this report, Emergen Research has segmented into the global Computational Biology Market on the basis of service-type, application, end-use, and region:

Service-Type Outlook (Revenue, USD Billion; 2017-2027)

  • In-House
  • Contract

Application Outlook (Revenue, USD Billion; 2017-2027)

  • Cellular & Biology Simulation
    • Computational Genomics
      • Database
      • Infrastructure / Hardware
      • Software & Services
    • Computational Proteomics
    • Pharmacogenomics
    • Others
  • Drug discovery and disease modeling
    • Target identification
    • Target Validation
    • Lead Discovery
    • Lead Optimization
  • Pre-clinical drug development
    • Pharmacokinetics
    • Pharmacodynamics
  • Clinical trials
    • Phase I
    • Phase II
    • Phase III
  • Human Body Simulation Software

End-Use Outlook (Revenue, USD Billion; 2017-2027)

  • Academics
  • Industry
  • Commercial

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Regional Outlook (Revenue, USD Billion; 2017-2027)

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • U.K.
    • France
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Rest of APAC
  • Latin America
    • Brazil
    • Rest of LATAM
  • Middle East & Africa
    • Saudi Arabia
    • U.A.E.
    • South Africa
    • Rest of MEA

Reasons to buy the report:

  1. This study segments the Computational Biology market and derives the precise valuation of the overall, as well as segment-based, market across different industry verticals, geographies, and products.
  2. The report will help participants understand the trajectory of the progress of the market and provide information on key drivers, restraints, challenges, threats, and opportunities for the growth of the Computational Biology sectors.
  3. This Computational Biology report would allow readers to be well-versed with the existing competition and gain more insights to improve their standing in the worldwide business. The competitive landscape considers the dominant competitors, along with product launches and technological advancements, strategic expansions, mergers and acquisitions, and procurement strategies implemented by key players in the Computational Biology market.

Key features of the report:

  • To study the key aspects impacting the Computational Biology market size.
  • To identify growth prospects in the Computational Biology market.
  • To analyze the Computational Biology market segments and deduce the dominant trends observed in the industry.
  • To examine the Computational Biology market by investigating the available products, market share, and value proposition of the products.
  • To analyze the industry by assessing the scope and application of the Computational Biology market and highlight the growth of each application.

Table of Content

Chapter 1. Methodology & Sources

    1.1. Market Definition

    1.2. Research Scope 

    1.3. Methodology

    1.4. Research Sources

          1.4.1. Primary

          1.4.2. Secondary

          1.4.3. Paid Sources

    1.5. Market Estimation Technique

Chapter 2. Executive Summary

    2.1. Summary Snapshot, 2020-2030

Chapter 3. Key Insights

Chapter 4. Computational Biology Market Segmentation & Impact Analysis

    4.1. Computational Biology Market Material Segmentation Analysis

    4.2. Industrial Outlook

          4.2.1. Market indicators analysis

          4.2.2. Market drivers’ analysis

          4.2.3. Market restraints analysis

    4.3. Technological Insights

    4.4. Regulatory Framework

    4.5. Porter’s Five Forces Analysis

    4.6. Competitive Metric Space Analysis

    4.7. Price trend Analysis

    4.8. Covid-19 Impact Analysis


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