Pune, India -- (SBWire) -- 05/02/2019 --Our latest research report entitled Computational Biology Market (by application (human body simulation software, preclinical drug development), services (in- house, contract), end - user (academics and commercial)) provides complete and deep insights into the market dynamics and growth of computational biology. Latest information on market risks, industry chain structure computational biology cost structure and opportunities are offered in this report. The past, present and forecast market information will lead to investment feasibility by studying the essential computational biology growth factors. According to report the global computational biology market is projected to grow at a CAGR of 21% over the forecast period of 2018-2024.
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Computational Biology Market: Insights
Computational biology can be defined as the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques for studying biological systems. It is a multifaceted field that combines the principles of applied mathematics, animation, computer science, anatomy, neuroscience, visualization, biophysics, biochemistry, ecology, and genetics. Computational biology includes many appearances of bioinformatics and is the science of using biological data to develop algorithms or models to understand biological systems and relationships. It reduces the number of human candidates required to test drugs in the development stage and this is the key advantage of computational biology. It is useful in formulating drugs for the pediatric population and pregnant women.
Computational Biology Market: Drivers and Restraints
Some of the major factors driving the growth of computational biology market are growing number of clinical studies in pharmacokinetics and pharmacogenomics for drug discovery & development, an upsurge of drug designing, personalized medicine, and disease modeling. Furthermore, the growing demand for predictive models and increasing funding from governments and private organizations for R&D in this field are also boosting the growth of computational biology market. In addition, advantages such as reducing risks involved in human clinical trials for testing drugs during their development phase, offered by computational biology to also augment growth in this market. Extensive use of this technology in a large number of applications in academics, industrial and commercial sectors are further fuelling the growth of this market. On the flip side lack of properly trained professionals is hampering the growth of computational biology market.
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Computational Biology Market: Regional Analysis
Among the geography, North America has emerged as the largest market for computational biology market followed by Europe and the Asia Pacific. In the North America region, factors such as growing investments in the R&D of novel drugs and disease modeling and growing technological advancements in biological computations is driving the growth of this market. Factors boosting the growth of computational biology market in the Asia Pacific region is due to increased expenditure in research works in pharmacogenomics and pharmacokinetics in clinical studies for newer drugs.
Computational Biology Market: Segmentation
The report on global computational biology market covers segments such as, applications, services and end - user. On the basis of applications, the global computational biology market is categorized into human body simulation software, preclinical drug development, cellular & biological simulation, clinical trials, and drug discovery and disease modeling. On the basis of services, the global computational biology market is categorized into in- house and contract. On the basis of end - user the global computational biology market is categorized into academics and commercial.
Computational Biology Market: Competitive Landscape
The report provides profiles of the companies in the global computational biology market such as Chemical Computing Group Inc., Genedata AG, Nimbus Discovery Llc, Simulation Plus Inc, Dassault Systemes, Compugen Ltd, Rosa & Co. LLC, Insilico Biotechnology AG, Schrodinger and Leadscope Inc.
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Report Findings
1. Drivers
-Growing Demand for Predictive Models.
-Reducing Risks Involved in Human Clinical Trials.
-Increasing Funding from Governments.
2. Restraints
-Lack of Trained Professionals.
3. Opportunities
-Growing Research and Development for Drug Discovery.
