North America Drug Modelling Software Market Drivers and Forecasts by 2027

Historic Data: 2017-2018   |   Base Year: 2019   |   Forecast Period: 2020-2027

North America Drug Modelling Software Market Forecast to 2027 - COVID-19 Impact and Regional Analysis By roduct Type (Database, Software, and Others); Application (Drug Discovery and Development, Computational Physiological Medicine, Disease Modelling, Medical Imaging, Predictive Analysis of Drug Targets, Simulation Software, Cellular Simulation, and Others), and Country

  • Report Date : Sep 2020
  • Report Code : TIPRE00013990
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • Available Report Formats : pdf-format excel-format
  • No. of Pages : 99
Page Updated: Sep 2020

The North America drug modelling software market is expected to reach US$ 4,588.87 million by 2027 from US$ 2,468.17 million in 2019; it is estimated to grow at a CAGR of 8.4% from 2020 to 2027.



Increasing adoption of in-silico modelling tools in drug discovery, and increasing economic burden of drug discovery in the region are the key factors driving the growth of drug modelling software. However, lack of data standardization is the major factor hindering the market growth in North America.

Drug modelling has become an essential tool in the drug design process. Software based drug discovery and development methods are playing key role in the development of novel drugs. Software based methods such as molecular modelling, structure-based drug design, structure-based virtual screening, ligand interaction and molecular dynamics are considered to be powerful tool for investigation of pharmacokinetic and pharmacodynamic properties of drugs. These methods are fast, accurate, and provide valuable insights of experimental findings and mechanisms of action. In addition, appropriate implementation of these techniques may help in reducing cost of drug designing and development.

The discovery and development of new drugs with potential therapeutic applications is a complex, expensive, and time-consuming venture. Considering this challenge, many novel technologies have been developed to increase the efficiency of the drug discovery process. Computational methodologies have become a crucial part of several drug discovery programs. From hit identification to lead optimization, techniques such as ligand or structure-based virtual screening are widely being used by many pharmaceutical companies. With the help of modelling, existing data can be leveraged to gain insights on product safety and effectiveness. Owing to computational methods efficiency, the FDA have included modelling to support efficient drug development. Nowadays, In-Silico design (computer-aided) is being utilized to expedite and facilitate hit identification, optimize the absorption, distribution, metabolism, and toxicity profile to avoid safety issues. Commonly used in-silico approaches include ligand-based drug design, structure-based drug design, and quantitative structure-activity.

Drugs are essential to stopping more suffering at the hands of Covid-19; at the time of writing, more than 206,000 people have tragically died from the disease. However, in the U.S., to give the technology a push, the ImmunityBio and Microsoft collaborated to support for the research. Supporting Covid-19 drug and vaccine development is the aim of ImmunityBio’s collaboration with Microsoft to leverage the latter’s Azure platform to create a 3D model of SARS-CoV-2’s spike protein. Additionally, Research projects and innovations related to COVID-19 have ramped up quickly across the University of Michigan, spurred by doctors, public health experts, scientists, economists and engineers, and encouraged by research leaders.

With the emerging outbreak of the COVID-19 pandemic, the drug modelling software market is likely to be positively impacted.


Mexico Drug Modelling Software Market, Revenue and Forecast to 2027 (US$ Mn)

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  • This FREE sample will include data analysis, ranging from market trends to estimates and forecasts.

NORTH AMERICA DRUG MODELLING SOFTWARE MARKET SEGMENTATION

By Product Type

  • Database
  • Software
  • Others

By Application

  • Drug Discovery and Development
  • Computational Physiological Medicine
  • Disease Modeling
  • Medical Imaging
  • Predictive Analysis of Drug Targets
  • Simulation Software
  • Cellular Simulation
  • Others

By Country

  • US
  • Canada
  • Mexico

Company Profiles

  • Crown Bioscience Inc (JSR life science)
  • Chemical Computing Group ULC
  • Nimbus Therapeutics
  • Schrödinger, Inc
  • Leadscope, Inc (Instem)

North America Drug Modelling Software Report Scope

Report Attribute Details
Market size in 2019 US$ 2,468.17 Million
Market Size by 2027 US$ 4,588.87 Million
Global CAGR (2020 - 2027) 8.4%
Historical Data 2017-2018
Forecast period 2020-2027
Segments Covered By roduct Type
  • Database
  • Software
By Application
  • Drug Discovery and Development
  • Computational Physiological Medicine
  • Disease Modelling
  • Medical Imaging
  • Predictive Analysis of Drug Targets
  • Simulation Software
  • Cellular Simulation
Regions and Countries Covered North America
  • US
  • Canada
  • Mexico
Market leaders and key company profiles
  • Crown Bioscience Inc (JSR life science)
  • Chemical Computing Group ULC
  • Nimbus Therapeutics
  • Schr
  • Ankita Mittal
    Manager,
    Market Research & Consulting

    Ankita is a dynamic market research and consulting professional with over 8 years of experience across the technology, media, ICT, and electronics & semiconductor sectors. She has successfully led and delivered 100+ consulting and research assignments for global clients such as Microsoft, Oracle, NEC Corporation, SAP, KPMG, and Expeditors International. Her core competencies include market assessment, data analysis, forecasting, strategy formulation, competitive intelligence, and report writing.

    Ankita is adept at handling complete project cycles—from pre-sales proposal design and client discussions to post-sales delivery of actionable insights. She is skilled in managing cross-functional teams, structuring complex research modules, and aligning solutions with client-specific business goals. Her excellent communication, leadership, and presentation abilities have enabled her to consistently deliver value-driven outcomes in fast-paced and evolving market environments.

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