The Computational Biology Market report furthermore covers an inside examination of the vital contenders of the market alongside their development systems and business extension plans. In particular, the archive engages entrepreneurs to look for data about possible shoppers and where they can track down them. With a selective inclusion of the top sellers, the review empowers entrepreneurs to find out about the neighborhood market and find expected shoppers.

The global Computational Biology Market is forecasted to be worth USD 16.58 Billion by 2027, according to a current analysis by Emergen Research. Computational biology is used to analyze biological data such as cell populations, genetic sequences, and protein samples and also discover new predictions.

The advent of innovative technologies such as sequencing, and high-throughput experimental methods like yeast two-hybrid, microarray, and chip-chip assays are generating a demand for mathematical modeling, analytical methods, and simulations for effective and hassle-free analysis of the data. Advancement in technology has opened up many options for innovation in the healthcare sector. Increased government funding, investments in research and development, and a rise in demand for predictive modeling for usage in various sequencing projects are driving the demand for the computational biology market.

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Global Computational Biology Market Highlights:

• Regional demand estimation and forecast
• Product Mix Matrix
• RD Analysis
• Cost-Benefit Analysis
• Pre-commodity pricing volatility
• Supply chain optimization analysis
• Technological updates analysis
• Raw Material Sourcing Strategy
• Competitive Analysis
• Mergers Acquisitions
• Location Quotients Analysis
• Carbon Footprint Analysis
• Patent Analysis
• Vendor Management

Competitive Landscape:

The latest study provides an insightful analysis of the broad competitive landscape of the global Computational Biology market, emphasizing the key market rivals and their company profiles. A wide array of strategic initiatives, such as new business deals, mergers acquisitions, collaborations, joint ventures, technological upgradation, and recent product launches, undertaken by these companies has been discussed in the report. The report analyzes various elements of the market’s competitive scenario, such as the regulatory standards and policies implemented across the industry over recent years. Our team of experts has leveraged several powerful analytical tools, such as Porter’s Five Forces analysis and SWOT analysis, to deliver a comprehensive overview of the global Computational Biology market and pinpoint the fundamental growth trends.  

Key Companies Profiled in the Report are:

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

Regional Segmentation:

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

Key Points Covered in This Section:

• Regional contribution
• Estimated revenue generation
• Vital data and information about the consumption rate in all the leading regional segments
• An expected rise in market share
• Forecast growth in the overall consumption rate

Segments Covered in this report are:

• 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
  • Computational Proteomics
  • Pharmacogenomics
  • 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

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Report Highlights:

• In July 2020, the U.S. Department of Energy announced a funding of USD 5 million in computational biology for six new research projects. The purpose of the funding is to develop new analytical tools and software for managing an increase in the quantity of genomics and other data resulting from the study of microbes and other biological systems.
• The In-House service-type segment is anticipated to grow with the fastest CAGR of 22.8% during the forecast period. Several Biopharma companies are undertaking clinical trials in their own buildings to avoid extra cost and also to prevent the risk of leakage of their pipeline projects. Moreover, as technology is becoming affordable, more companies are opting for in-house service.
• The cellular biology simulation segment is driven due to the high demand from computational genomics. The segment will witness growth owing to recent developments in IT technologies and cloud computing. Computational genomics is more specifically used for pattern recognition and analysis problems such as motif finding, gene finding, gene function prediction, evolutionary models, and fusion of sequence and expression information.
• The commercial end-use segment dominated the computational biology market. Increased usage of the technology for personalized medicine and drug designing by pharmaceutical companies is propelling its demand. Several genetic disorders require specific customized treatment, which is creating a trend for personalized medicine.
• North America is a hub for RD in computational biology. The region witnessed increased investment by private and public companies in research for the development of effective medicine and therapies. It is also home to key companies involved in the market.

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