Global Drug Discovery Informatics Market Size, Share, Growth Analysis, By Workflow, By Mode, By Services - Industry Forecast 2024

Global Drug Discovery Informatics Market size was valued at USD 2.96 Billion in 2022 and is poised to grow from USD 3.29 Billion in 2023 to USD 7.76 Billion, at a CAGR of 11.30 % during the forecast period (2024-2031).

In-silico modeling techniques are being used more often, drug development data is increasing, high-performance computing and online services are becoming more advanced, and there is a growing need for novel pharmaceutical moieties. These factors are expected to propel the drug discovery informatics market upward in the upcoming years. It is anticipated that industry competition would increase with the introduction of enhanced drug discovery information technology. For instance, in January 2021, Certara, Inc. launched version 20 of their Simcyp Physiologically-based Pharmacokinetic (PBPK) Simulation platform. The new models facilitate the evaluation and analysis of pharmaceutical use during the course of pregnancy and lactation.

Moreover, it helps clients make important choices that maximize the safety and efficacy characteristics of drugs. Businesses are increasingly adopting informatics technology in an effort to shorten the time it takes to conduct drug development. For instance, Curve Therapeutics Ltd. will use the CDD Vault platform in 2021 to manage its biologically encoded Microcycle platform. It is a popular hosted platform used by academic institutions, biotechnology companies, and the pharmaceutical industry for safe, easy, real-time data sharing that fosters cooperative discoveries.

Additionally, the global Covid-19 drug discovery process is moving more quickly, which is fueling market expansion. For instance, researchers employed virtual screening using medications from the DrugBank to target human ACE2 receptors and viral proteins in order to deliver prompt remedies. These studies used silico approaches to screen for tiny molecules that could be useful in the search for anti-Covid-19 drugs.

In a same vein, businesses are creating an array of digital services and solutions to support the many phases of Covid-19 drug development. The IBM Visual Molecular Explorer platform, for instance, looked into a portion of the chemicals made that were directed against the coronavirus (SARS-CoV-2). The early phases of optimal drug design were facilitated by the explorer's open-source sharing of AI-generated artifacts.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Drug Discovery Informatics Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Drug Discovery Informatics Market Segmental Analysis

The global drug discovery informatics market is segmented based on workflow, mode, services, application, end-use, and region. In terms of workflow, the market is segmented into discovery informatics, and development informatics. On the basis of categorization by mode, the market is segmented into outsourced, and in-house. Based on services, the market is segmented into sequence analysis platforms, molecular modeling, docking, clinical trial data management, and other services. Based on region the global drug discovery informatics market is segmented into North America, Europe, Asia-Pacific, South America, and MEA.

Drivers of the Global Drug Discovery Informatics Market

The demand for innovative pharmaceuticals has increased as a result of the rising prevalence of various diseases and the necessity for efficient treatment options. By facilitating effective data analysis, predictive modeling, and virtual screening, drug discovery informatics significantly contributes to the acceleration of the drug development process and consequently drives market growth.

Restraints in the Global Drug Discovery Informatics Market

Software licensing, hardware infrastructure, and trained staff are only a few of the significant upfront expenditures associated with implementing drug discovery informatics systems and technologies. Market expansion may be hindered by these high implementation costs, which may be an impediment for smaller businesses or organizations with tighter budgets.

Market Trends of the Global Drug Discovery Informatics Market

Growing Adoption of Machine Learning and Artificial Intelligence (AI and ML): In order to improve accuracy and efficiency, drug discovery informatics is incorporating AI and ML technologies more and more. Advanced data analysis, predictive modeling, and virtual screening are made possible by these technologies, which speed up the drug discovery process and increase success rates.

Growing Need for Cloud-Based Informatics Solutions: The drug discovery informatics industry has seen a notable increase in the use of cloud computing. With the scalability, flexibility, and affordability of cloud-based informatics solutions, businesses can effectively handle, store, and analyze massive amounts of data. They also make it easier for research teams to share data and collaborate remotely, which increases acceptance.

Emphasis on Targeted Therapies and customized Medicine: The market for drug discovery informatics has been impacted by the move toward targeted therapies and customized medicine. In order to find particular biomarkers, analyze patient data, and create customized treatments, informatics solutions are essential. Informatics tools for tailored drug discovery are being developed in response to the increasing focus on precision medicine.

Integration of Big Data Analytics: Big data analytics has been integrated into drug discovery informatics as a result of the availability of extensive genomic, proteomic, and clinical data. Researchers can uncover new therapeutic targets, get insightful knowledge, and streamline the drug development process by utilizing advanced analytics approaches including data mining, pattern recognition, and predictive modeling.