-- Drug Modeling Software Market adoption is intimately related to the expanding demand for novel therapeutics in the pharmaceutical sector. Drug modelling software is essential for enhancing drug prospects, speeding up the drug research and development process, and increasing the success rates of novel medicines.
Drug modelling software is being used more frequently as a result of its potential to produce targeted therapeutics, accelerate the drug development process, improve drug candidates, facilitate virtual screening, and enhance combination medicines. Therefore, rising demand for novel therapies is expected to drive the market growth.
Data Bridge Market Research analyses that the drug modeling software market is expected to grow at a CAGR of 9.2% during the forecast period of 2023 to 2030.
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Market Overview:
The drug modeling software refers to the industry segment that provides software tools and solutions for computational drug design and discovery. Drug modeling software offers a range of functionalities, including molecular docking, virtual screening, structure-based drug design, ligand-based drug design, molecular dynamics simulations, and pharmacophore modeling. These tools assist in predicting the efficacy, safety, and pharmacokinetic properties of drug candidates, optimizing lead compounds, and accelerating the drug discovery process.
Cloud Computing and Big Data Analytics in Drug Modelling
Organizations are using cloud computing and big data analytics technology to handle immense volumes of data with better automation, generate data driven insights, mimic human intelligence and much more. The wide range of benefits offered by cloud computing and big data analytics is increasing its adoption in almost every business. Today, many leading pharma companies are leveraging cloud computing and big data analytics technology to enhance their processes of manufacturing, drug research, and development.
Some of the cloud computing and big data analytics aspects that contribute to quickening the drug discovery process are:
- Data analytics capabilities of cloud computing and big data analytics in drug discovery let researchers swiftly navigate through loads of data points that can help gauge the target molecules’ capabilities.
- Cloud computing and big data analytics in drug discovery are expediting the analysis of massive medical data sets, generate data-driven insights, and predict future needs.
- Predictive analytics capabilities of Cloud computing and big data analytics contribute to identifying and develop accurate chemical compositions, speed up trials, and decide which new drug to manufacture.
- Cloud computing and big data analytics are contributing to the manufacturing good quality medicinal products, filtering and employ best-matched patients for clinical trials and enhancing the protection and efficiency of drugs during clinical trials.
Large amounts of data, such as molecular structures, outcomes of experiments, and clinical data must be manipulated while modeling drugs. Cloud computing provides safe and affordable storage options, enabling researchers to manage and store enormous amounts of data. Data accessibility, scalability, and strong backup and recovery methods are all guaranteed by cloud-based storage.
Major Players
Data Bridge Market Research recognizes the following companies as the market players in global drug modeling software market are Dassault Systèmes (France), Amazon Web Services, Inc. (U.S.), Certara, USA (U.S.)., Schrödinger, Inc. (U.S.), Cresset. (U.K.), SIMULATIONS PLUS. (U.S.), XtalPi Inc. (China), Dotmatics (U.S.), Scripps Research (U.S.), Xybion (New Jersey), BioSolveIT GmbH. (Germany), ArgusLab (U.S.), Pharmacelera (Spain), Optibrium, Ltd. (U.K.), Nanome Inc. (U.S.), BC Platforms (Switzerland), Atomwise Inc. (U.S.), VeriSIM Life. (U.S.), Acellera LTD. (U.K.), GENECODE (Estonia), InSilicoTrials Technologies. (U.S.) among others.
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Segment Analysis:
The global drug modeling software market is segmented into seven notable segment namely, components, operating system, deployment mode, enterprise size, application, purchasing model, end user.
- Based on components, global drug modelling software market is segmented into software and services. In 2023, the software segment is expected to dominate the drug modelling software market with 58.02% market share.
In 2023, the software segment is expected to dominate the global drug modeling software market
In 2023, the software segment is expected to dominate the global drug modeling software market as it offers comprehensive solutions that encompass a wide range of functionalities required in the drug discovery and development process.
- Based on operating system, global drug modeling software market is segmented into windows, linux, mac os, and others. In 2023, the windows segment is expected to dominate the drug modeling software market with 64.64% market share.
In 2023, the windows segment is expected to dominate the global drug modeling software market
In 2023, the windows segment is expected to dominate the global drug modeling software market as it is easily available with a broad range of options.
- Based on deployment mode, global drug modeling software market is segmented into cloud based, hybrid-based, and on-premises. In 2023, the cloud based segment is expected to dominate the drug modeling software market with 58.79% market share.
- Based on enterprise size, global drug modeling software market is segmented into large enterprise size and small & medium enterprise size. In 2023, the large enterprise size segment is expected to dominate the drug modeling software market with 66.70% market share.
- Based on the application, global drug modeling software market is segmented into graphical molecular modeling, gene sequence analysis, protein modeling, modeling crystal structures, cheminformatics, high throughput virtual screening, gas & solution phase reaction, medical imaging, and others. In 2023, the graphical molecular modeling segment is expected to dominate the drug modeling software market with 30.99% market share.
- Based on the purchasing model, global drug modeling software market is segmented into subscription based, and one- time license. In 2023, the subscription based segment is expected to dominate the drug modeling software market with 60.99% market share.
- Based on end user, global drug modeling software market is segmented into pharmaceutical & biotechnology companies, contract research organization, research institutes, regulatory authorities, and others. In 2023, the pharmaceutical & biotechnology companies segment is expected to dominate the drug modeling software market with 50.88% market share.
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