Europe Drug Modelling Software Market Growth Drivers and Forecast by 2027
Historic Data: 2017-2018 | Base Year: 2019 | Forecast Period: 2020-2027Europe Drug Modelling Software Market Forecast to 2027 – COVID-19 Impact and Analysis – by Product Type (Database, Software, and Others); and Application (Drug Discovery and Development, Computational Physiological Medicine, Disease Modelling, Medical Imaging, Predictive Analysis of Drug Targets, Simulation Software, Cellular Simulation, and Others)
- Report Date : Sep 2020
- Report Code : TIPRE00013989
- Category : Technology, Media and Telecommunications
- Status : Published
- Available Report Formats :
- No. of Pages : 108
The Europe drug modelling software market is expected to reach US$ 3,215.94 million by 2027 from US$ 1,826.99 million in 2019; it is estimated to grow at a CAGR of 7.6% 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 Europe.
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.
Traditional drug discovery and development method includes various challenges such as capital-intensive, high failure rates, and time-consuming. The process of drug development, from the discovery of a lead compound to its commercial launch, is estimated to take around 10–15 years along with the investment of a huge amount of money. Moreover, only a small proportion of leads that are selected for further investigation during the initial stages of research are translated into clinical research studies. Over a period, the complexities of drug discovery have increased owing to the increasing size of biologics. As a result, there has been a direct rise in R&D expenditure in the pharmaceutical sector. At present, the pharmaceutical industry is under tremendous pressure to cope with rising capital requirements in drug discovery research and avoid losses due to drug failure.
In the last few years, several computational tools have been developed for the identification, selection, and optimization of pharmacological lead candidates. Currently, there are several computational approaches available for the drug discovery process. The predictive power of these tools has been proven to be very advantageous, allowing researchers to bypass the screening of billions of molecules. As a result, computational services, such as quantitative structure-activity relationship (QSAR), modelling, and computer-aided drug design (CADD), have now become an integral part of the pharmaceutical industry. Moreover, pharmaceutical companies that are focused on the development of large molecules are likely to continue outsourcing their respective drug discovery and development operations from drug Modelling providers.
With COVID-19 increasing numbers in the region, every ounce of technological innovation and ingenuity is harnessed to fight this pandemic and brings us one-step closer to overcoming it. Artificial intelligence (AI) and machine learning are playing a key role in better understanding and addressing the COVID-19 crisis. In the fight against COVID-19, organizations have been quick to apply their machine learning expertise in several areas: scaling customer communications, understanding how COVID-19 spreads, and speeding up research and treatment. Computational Modelling has uses in the battle against Covid-19 beyond analyzing the structure of the virus itself. French artificial intelligence start-up Exact Cure is seeking to model and predict the efficacy and pharmacokinetics of already approved drugs being studied for Covid-19. Additionally, the initiatives of governments in the region open a window of opportunities for drug modelling software market
Rest of Europe Drug Modelling Software Market, Revenue and Forecast to 2027 (US$ Mn)
- This FREE sample will include data analysis, ranging from market trends to estimates and forecasts.
EUROPE 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
- Germany
- France
- United Kingdom
- Italy
- Spain
Company Profiles
- Crown Bioscience Inc (JSR life science)
- Genedata AG
- Biognos AB
- Dassault Systèmes
- Acellera
Europe Drug Modelling Software Report Scope
| Report Attribute | Details |
|---|---|
| Market size in 2019 | US$ 1,826.99 Million |
| Market Size by 2027 | US$ 3,215.94 Million |
| Global CAGR (2020 - 2027) | 7.6% |
| Historical Data | 2017-2018 |
| Forecast period | 2020-2027 |
| Segments Covered |
By Product Type
|
| Regions and Countries Covered | Europe
|
| Market leaders and key company profiles |
Market Research & Consulting
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The List of Companies - Europe Drug Modelling Software Market
- Crown Bioscience Inc (JSR life science)
- Genedata AG
- Biognos AB
- Dassault Systèmes
- Acellera
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