Computational Biology Market Size Worth USD 16.58 Billion by 2027 | Emergen Research

The global Computational Biology Market is forecasted to be worth USD 16.58 Billion by 2027, according to a current analysis by Emergen Research.

The global Computational Biology Market is forecasted to be worth USD 16.58 Billion by 2027, according to a current analysis by Emergen Research. The Computational Biology Market is growing at a CAGR of 22.4% from 2020 to 2027. Computational biology involves the application of computational techniques to solve biological problems. It includes the development and application of data-analytical and theoretical methods, mathematical modeling and simulation techniques to the study of biological, behavioral, and social systems. Advancement in technology such as next generation sequencing, development of new platforms, and improvement in data analysis techniques are the factors that are fuelling the growth of computational biology market.

Computational biology is used to study and understand the complex systems in living organisms. It helps in the prediction of the behavior of these systems and the development of new therapies for diseases. The increasing demand for personalized medicine and the need for early diagnosis of diseases are some of the major factors driving the growth of the computational biology market. The rapid growth of the healthcare industry and the increasing adoption of precision medicine are also fueling the market growth. However, the lack of skilled workforce is restraining the market growth.

The advent of innovative technologies has facilitated the transformation of the healthcare industry. In recent years, tremendous progress has been made in the field of genomics, which has led to the development of new treatments and therapies for a variety of diseases.

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Several companies are doing clinical studies to develop computational biology-based drugs. These companies have access to large clinical data sets, which are essential for the development of effective treatments. However, data sets from small companies or academic research institutes are often not made available to the public. In addition to the development of new treatments, computational biology is also being used to develop diagnostic tests. For example, a company called In Vitro Diagnostics is using computational biology to develop a test that can detect cancer cells in the blood.

Some Key Highlights from the Report

  • In July 2020, the U.S. Department of Energy announced $100 million in new funding for the Genomes to Life (GTL) program. The GTL program is a partnership between the Department of Energy and the National Institutes of Health that aims to use high-performance computing to advance the field of genomics. This new round of funding will support research projects that use computational biology to study how cells function and how they respond to stress and disease.
  • In-house service-type segment is expected to grow at the highest CAGR during the forecast period. This is due to the high degree of accuracy and timeliness offered by these services. Also, with the help of in-house service providers, organizations can keep a check on the quality of the data. This, in turn, is fuelling the growth of this segment.
  • The cellular & biology simulation segment is expected to grow at the highest CAGR during the forecast period. This is due to the increasing demand for simulations in drug discovery and target identification processes. Also, with the help of cellular & biology simulations, scientists can study the behaviour of cells and understand how they work.
  • The academic & research institutes segment is expected to grow at the highest CAGR during the forecast period. This is due to the increasing demand for computational biology services from academic & research institutes for drug discovery and target identification processes. Also, with the help of computational biology services, academic & research institutes can save time and money.
  • The North America region is expected to grow at the highest CAGR during the forecast period. This is due to the presence of a large number of computational biology service providers in the region. Also, the region has a strong foothold in the global market due to the increasing demand for computational biology services from academic & research institutes and pharmaceutical & biotechnology companies.
  • The Asia-Pacific region is expected to grow at the highest CAGR during the forecast period. This is due to the increasing demand for computational biology services from academic & research institutes and pharmaceutical & biotechnology companies in the region. Also, with the help of computational biology services, these organizations can save time and money.
  • Key participants include Chemical Computing Group, Compugen, Simulation Plus, Genedata, Certara, Insilico Biotechnology, Accelrys, Rhenovia Pharma, Entelos, Nimbus Discovery, among others.

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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

  1. Computational Genomics
    • Database
    • Infrastructure / Hardware
    • Software & Services
  2. Computational Proteomics
  3. Pharmacogenomics
  4. Others

Drug discovery and disease modeling

  1. Target identification
  2. Target Validation
  3. Lead Discovery
  4. Lead Optimization

Pre-clinical drug development

  1. Pharmacokinetics
  2. Pharmacodynamics

Clinical trials

  1. Phase I
  2. Phase II
  3. Phase III

Human Body Simulation Software

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

  • Academics
  • Industry
  • Commercial

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

  • North America
    1. U.S.
    2. Canada
    3. Mexico
  • Europe
    1. Germany
    2. UK
    3. France
    4. BENELUX
    5. Rest of Europe
  • Asia Pacific
    1. China
    2. Japan
    3. South Korea
    4. Rest of APAC
  • Latin America
    1. Brazil
    2. Rest of LATAM
  • MEA
    1. Saudi Arabia
    2. UAE
    3. Rest of MEA

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