Global Computational Biology Market to Exhibit 21.30% CAGR 2012-2018 as Companies Target Better Clinical Trial Outcomes

The computational biology market is predicted to have a notable growth owing to its wide use by biotechnology and pharmaceutical companies to reduce the incidences of late stage failures of their drugs and thereby curb R&D expenditure. This market involves application of biology and information technology field for drug discovery and drug development. Computational biology also assists in reducing extensive use of human in clinical trials and is therefore useful for pediatric trials, trials on pregnant women and orphan disease research. The computational biology market has witnessed significant growth in the past due to rise in late stage drug failure coupled with its ability to reduce extensive use of humans in clinical trials.

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This report provides an in-depth and comprehensive analysis of the computational biology market on the basis of application, tools and by services. This report studies the global market for computational biology through the perspective of cellular modeling and disease modeling. In application segment, the report covers cellular & biological simulation and disease modeling and simulation application or CADD (Computer Aided Drug Design).

Cellular & biological simulation market has also been segmented on the basis of computational genomics, computational proteomics, pharmacogenomics and others (transcriptomics/ metabolomics). Disease modeling and simulation segment is categorized into drug discovery and drug development. The market of drug discovery is divided into target identification, target validation, lead discovery and lead optimization. Drug development market is segmented as preclinical, clinical trials and human body simulation software. The market of clinical trials is studies based on phase I, phase II and phase III trials.

The market of computational biology market, by tools is categorized into database, IT infrastructure (hardware) and analysis software and services types. The computational biology services market highlights the trend of in-house computational biology and external or contract computational biology. The report also provides various types of technological advancements taking place in each segment. All the above mentioned segments are analyzed on the basis of market size in terms of USD million and their forecasts for the period 2012 to 2018 have also been provided. The CAGR (%) for each market segment has been estimated for the forecast period 2012 to 2018, considering 2011 as the base year. In addition, this report covers participation of different organizations of the U.S. and the U.K. for the development of computational biology market.

The market is also forecasted in terms of value (USD million) for the period 2012 – 2018 for four major geographic regions, namely North America, Europe, Asia-Pacific and Rest of the World (RoW). Market sizes, forecasts and % CAGR for each region have been provided in geography segment. A detailed qualitative analysis of the factors responsible for driving and restraining the growth of the computational biology market and future opportunities are covered in the report.

Moreover, a PESTLE analysis has been done while estimating individual geographies in order to provide current as well as future status. A list of recommendations for existing as well as new entrants has been discussed in the study. This recommendation chapter provides assistance to industry players on ways to enter this market or to establish sustainable competitive advantage.

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Some of the key market players of the global computational biology market include Genedata AG, Nimbus Discovery LLC, Rhenovia Pharma SAS, Certara, Chemical Computing Group, Inc., Compugen, Ltd, Simulation Plus, Inc., Schrodinger, Leadscope, Inc., Accelrys, Entelos and Insilico Biotechnology AG. Market players are profiled in this report on the basis of attributes such as company overview, financial overview, business strategies adopted by the companies to ensure sustainability and maximize profits, product portfolio and recent developments. The competitive landscape of this industry has been covered under market share analysis by key players.

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