Computational Biology Market  Share, Industry Growth, Trend, Key Companies by 2030

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Wide application of computational biology in genomics, epigenomics, proteomics, and meta-genomics to understand 3D protein structural analysis, protein-protein interactions, and gene sequencing

According to the current analysis of Reports and Data, the global computational biology examples market was valued at USD 5.35 Billion in 2021 and is expected to reach USD 29.49% Billion by the year 2030, at a CAGR of 29.49 % . Science is massively benefitted from data processing, such as computational biology examples. computational biology examples is an interdisciplinary field of biology that applies computational methods for analyzing biological data, such as genetic sequences, cell populations, and protein samples, to discover new predictions. The computational techniques used in computational biology examples include analytical methods, mathematical modeling, and simulation. Moreover, new technologies such as sequencing, and high-throughput experimental methods like microarray, yeast two-hybrid, and chip-chip assays are creating enormous and increasing amounts of data that can be analyzed and processed effectively and hassle-free using computational techniques.

The drive-in technological advancements have now opened the door to a world of innovation in the field of healthcare. Computational genetics is disciplinary of computational biology examples where homology and internal biological mechanism are studied using genome sequencing. The Human Genome Project is a classic example where the whole human genome was sequenced successfully. computational biology examples also finds application in neurology, in which it is used to map complex interlinked pathways to visualize 3D simulation models of the brain. The medical advantage of computational biology examples is anticipated to boost the market during the forecast period. Additionally, computational pharmacology also uses tools of computational biology examples to visualize and simulate advanced drug-drug interactions in the drug designing process.

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Some Key Factors Contributing to the Global Pharma Healthcare Market Growth

Unprecedented revenue growth of the global pharma healthcare industry is attributed to factors such as rising prevalence of chronic and acute diseases worldwide, increasing geriatric population, rising awareness of health wellness among consumers, and growing demand for more advanced healthcare services. Increasing demand for advanced drugs and therapeutics, growing availability of next-generation diagnostics and treatment options – especially in developing countries like India and China – rise in RD activities and clinical trials in the pharmaceutical and biotechnology sectors, increasing public and private investments in healthcare research projects, and rising consumer expenditure on healthcare are among the other significant factors contributing to the industry revenue growth.

Further key findings from the report suggest

  • computational biology examples market is growing at a CAGR of 2% in Asia-Pacific due to owing to increased spending on research works in pharmacogenomics and pharmacokinetics in clinical studies for new drugs in the region.
  • In-house services are expected to be the fastest growing service segment during the forecast period 2019-2027. Several funding and RD initiatives are undertaken by private institutions, and biopharmaceutical companies for the detection of a biomarker for drug development and disorder are driving the market growth.
  • North America region accounted for nearly 45% of the market share in 2019 owing to increasing RD activities for drug discovery processes and development of new biological computation tools.
  • Several funding and RD initiatives are undertaken by private institutions, and biopharmaceutical companies for the detection of a biomarker for drug development and disorder are driving the market growth.
  • Computational Genomics segment is expected to witness lucrative growth attributing to the recent technological advancements in cloud computing and other IT technologies. For instance, the Epidemiology and Genomics Research Program (EGRP) grants endowment to research-related activities and related need for personalization in healthcare owing to genetic variations, expanding application in non-oncology diseases,
  • Market players are adapting various organic and inorganic expansion strategies. For instance, Paragon Genomics Introduces CleanPlex CFTR Panel and unveils new fusion detection enables identification of known and novel gene fusions as diagnostic and prognostic markers for tumor progression. The CFTR Panel leverages Paragon Genomics' CleanPlex technology in a multiplex PCR-based targeted resequencing assay designed to simplify the evaluation of somatic and germline variants across the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) gene. 
  • Bioinformatics expanded to the development and the use of computational tools for the biological interpretation of the large amounts of data. There is a very heterogeneous scientific community that covers all aspects of today’s genetic research. In the coming years the commitment to bioinformatics and system biology will be extended even further with increased funding and explicit commitment to both of these areas.
  • Recently, in November 2019, Alibaba funded Hong Kong biotech firms to boost investments. The fund has invested in Hong Kong-based Prenetics, which provides genetics testing solutions for cancer screening and pharmacogenomics 

Top Players in the Global computational biology examples Market:

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

The coronavirus pandemic has had a drastic impact on the global healthcare industry, with rising cases of COVID-19 worldwide, substantially growing hospital admission and readmission rates, and rising demand for telehealth and telemedicine services for remote patient monitoring. Furthermore, rising focus on development of rapid COVID-19 diagnostics such as the RT-PCR test kits, increased government funding for vaccine development, stringent regulatory norms and protocols for COVID-19 safety, and increasing sales of COVID-19 safety equipment, such as N-95 masks, face shields, PPE kits, and hand sanitizers, have driven the global pharma healthcare industry revenue growth over the recent past.  

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computational biology examples Market Segmentation:

Application Outlook (Revenue, USD Billion; 2019-2030)

  • Cellular and Biological Simulation
  • Drug Discovery
  • Disease Modeling
  • Others

Service Outlook (Revenue, USD Billion; 2019-2030)

  • In-house
  • Contract

End-use Outlook (Revenue, USD Billion; 2019-2030)

  • Academics
  • Commercial
  • Pharmaceutical

Global computational biology examples Market Report: Regional Segmentation

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East Africa

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Frequently Asked Questions Answered in the Report:

  • What is the estimated revenue growth rate of the global computational biology examples market over the forecast period?
  • What are the major factors driving the global market revenue growth?
  • Which are the leading manufacturers and suppliers in the global computational biology examples market?
  • Which regional market is expected to lead in terms of revenue share in the global computational biology examples market over the forecast years?
  • What are the key outcomes of SWOT analysis and Porter’s Five Forces analysis of the market?

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