In-Silico Drug Discovery Market to Witness Robust Growth by 2027 |

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The growing demand for cost-effective medicines and the advent in genomics and proteomics applications will drive the demand for In-Silico Drug Discovery.

The Global In-Silico Drug Discovery market Report offers extensive knowledge and information about the In-Silico Drug Discovery market pertaining to market size, market share, growth influencing factors, opportunities, and current and emerging trends. The report is formulated with the updated and latest information of the In-Silico Drug Discovery market further validated and verified by the industry experts and professionals. The report additionally sheds light on the emerging growth opportunities in the business sphere that are anticipated to bolster the growth of the market.

The global In-Silico Drug Discovery Market is forecasted to be worth USD 6.34 Billion by 2027, according to a current analysis by Emergen Research. The constant increase in the number of patients suffering from chronic diseases and pharmaceutical companies investing heavily in the development of various drugs are also influencing the market growth. The In-Silico drug discovery process help in the design and development of novel products.

The In-Silico drug market is growing, and several pharmaceutical companies are focusing on the development of drugs using computer-aid. The pharma companies are taking advantage of the technology to discover drugs for more complex diseases. The In-Silico drug discovery is used in early preclinical research and development of small molecule drugs and in clinical candidates in various stages of medicine. Due to the advancement in information technology and innovative breakthroughs in computational chemistry, several new drug compounds are being discovered through this procedure. 

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Key takeaways of the Global In-Silico Drug Discovery Market report:

  • The report sheds light on the fundamental In-Silico Drug Discovery market drivers, restraints, opportunities, threats, and challenges.
  • It elaborates on the new, promising arenas in the leading In-Silico Drug Discovery market regions.
  • It examines the latest research development projects and technological innovations taking place in the key regional segments of In-Silico Drug Discovery market
  • The research report reviews the regulatory framework for creating new opportunities in various regions of the In-Silico Drug Discovery market

The complete regional analysis covers:

  • North America (U.S., Canada, Mexico)
  • Europe (U.K., Italy, Germany, France, Rest of EU)
  • Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
  • Latin America (Chile, Brazil, Argentina, Rest of Latin America)
  • Middle East Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

Competitive Landscape:

The latest report encases an in-depth summary of the intensely competitive landscape of the global In-Silico Drug Discovery market, with systematic profiling of the companies operating across this industry. In this section of the report, experts have listed down the strategic initiatives undertaken by these market rivals for proposed business expansion. Additionally, it highlights the key developments and financial positions of these companies to explain the overall market scenario. The company profiles of the established and new players have also been assessed in the report through effective analytical tools like SWOT analysis.

Key participants include Certara USA, Inc., Albany Molecular Research Inc., Chemical Computing Group ULC, Charles River, Dassault System (Biovia), Collaborative Drug Discovery Inc., Evotec A.G., ICAGEN, Inc., GVK Biosciences Private Limited, and Novo Informatics Pvt. Ltd., among others.

For the purpose of this report, Emergen Research has segmented into the global In-Silico Drug Discovery Market on the workflow, product, type of large molecule, end-user, and region:

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

  • Discovery
    1. Target Identification
      • Reverse Docking
      • Bioinformatics
      • Protein Structure Prediction
    2. Target Validation
    3. Lead Discovery
      • Pharmacophore
      • Library Design
    • Preclinical Tests
    • Clinical Trials

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

  • Consultancy as a Service
  • Software as a Service (Cloud)
  • Software

Type of Large Molecule Outlook (Revenue, USD Billion; 2017-2027)

  • Proteins
  • Antibodies
  • Nucleic Acids
  • Peptides
  • Vectors

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

  • Contract Research Organizations
  • Pharmaceutical Industry
  • Academic and Research Institutes
  • Others

Key point summary of the report:

  • In November 2020, Lead Pharma announced its collaboration and license agreement with Roche for the development of oral small molecules for the treatment of a broad range of immune-mediated diseases. Lead Pharma is using In-Silico lab for their computational chemistry, bioinformatics, and data mining activities.
  • The In-Silico molecular techniques are gaining popularity to engineer antibodies. It is used for the design of antibodies, including structure modeling, antibody stability evaluation, antibody-antigen complex prediction, and allosteric effects in antibodies and functions.
  • Computer-aided drug methodologies are playing a crucial role in the discovery of the drugs. This method is used in limiting the usage of animal models in pharmaceutical research, aid in the design of innovative and safe drug candidates, and supporting pharmacologist and medicinal chemist.
  • Usage of information technology in drug discovery is witnessing lucrative growth in the Asia Pacific region due to a rise in RD activities and development in the biotechnology and pharmaceutical sectors. Moreover, the presence of a significant patient pool will fuel the demand for better healthcare services, which will drive the demand for the market

Thank you for reading our report. Customization of the report is available. To know more, please connect with us, and our team will ensure the report is customized as per your requirements.

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