Owing to their cost and time saving potential, in silico tools are widely used in modern pharmacological research; several companies have developed novel tools, which are specifically designed to accelerate and augment the drug discovery process.
Roots Analysis has announced the addition of “In Silico / Computer-Aided Drug Discovery Services Market: Focus on Large Molecules (Antibodies, Proteins, Peptides, Nucleic Acid, Gene Therapy and Vectors), 2020-2030 (Including Structure Based Drug Discovery, Fragment Based Drug Discovery, Ligand Based Drug Discovery, Target Based Drug Discovery / Multi-Target Drug Design, Interface Based Drug Discovery, Approaches)” report to its list of offerings.
Presently, in silico tools / approaches are available for the identification, selection and optimization of pharmacological leads. in fact, the predictive power of such solutions has been demonstrated to enable researchers to bypass the traditional experimental screening of billions of molecules against hundreds of biological targets, thereby, allowing significant reductions in the investment of both time and resources.
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Key Market Insights
Over 90 players currently claim to provide in silico drug discovery services for biologics
More than 70% of these companies are small and mid-sized firms. Further, close to 60% of the CROs engaged in this domain, claim to provide services to both pharmaceutical companies and academic institutes. It is worth mentioning that about 30% of players presently offer end-to-end drug discovery services
Over 150 software solutions are currently available for use in drug discovery
Around 90 companies are currently providing software tools, web applications and other technology platforms for drug discovery. Examples of popular softwares include (in alphabetical order) FORECASTER SUITE, MOPAC2016™, PKPlus™, REAL Space Navigator, SaaS Platform and VolSurf+.
Nearly 80% of in silico drug discovery service providers are based in the developed geographies
This can be attributed to the relatively high adoption of the in silico approach by players based in Europe and North America. On the other hand, there are companies that are using this approach for drug discovery operations, in emerging regions, such as India and China, as well.
Around 40% of the companies claim to specialize in antibodies, proteins and peptides
Within the antibodies segment, nearly 60% of in silico service offerings are focused on the discovery of monoclonal antibodies. This is followed by companies providing services for antibody fragments (43%), bispecific antibodies (34%) and polyclonal antibodies (26%).
Using in silico solutions / tools is estimated to save ~35% of the overall drug discovery cost
By 2030, we anticipate net, annual cost savings of over USD 23 billion to be brought about by the adoption of in silico tools in large molecule drug discovery processes. The computation approach also enables researchers to expedite the overall process, thereby, saving a significant amount of time, as well.
North America and Europe are anticipated to capture over 75% of the market share by 2030
Within North America, US is anticipated to hold the 90% of the market share. It is worth mentioning that the market in Asia-Pacific region is anticipated to grow at a relatively faster rate (16.1%).
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Key Questions Answered
The USD 124 million (by 2030) financial opportunity within the in silico drug discovery market for large molecules has been analyzed across the following segments:
Key Drug Discovery Steps
Type of Large Molecule
Target therapeutic Area
Type of Sponsor
Key Geographical Regions
The report features inputs from eminent industry stakeholders, according to whom the in silico approaches significantly simplifies the drug discovery process, offering better screening accuracy, as well as enabling innovators to reduce wet-lab efforts. The report includes detailed transcripts of discussions held with the following experts:
The research covers brief profiles of several companies (including those listed below); each profile features an overview of the company, financial information (if available), in silico-based service(s) portfolio and an informed future outlook.
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