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The global Quantitative Structure-Activity Relationship (QSAR) market size is expected to reach $ million by 2030, rising at a market growth of % CAGR during the forecast period (2024-2030).

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According to our (Global Info Research) latest study, the global Quantitative Structure-Activity Relationship (QSAR) market size was valued at USD million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of % during review period.

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The global Quantitative Structure-Activity Relationship (QSAR) market size is expected to reach $ million by 2029, rising at a market growth of % CAGR during the forecast period (2023-2029).

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QSAR is a computational modeling method used to determine relationships between structural properties and biological activities of chemical compounds. The drug discovery and development, along with studying the potential therapeutic applications of the drug, is a complicated, expensive, and time-consuming process. Pharmaceutical and biopharmaceutical companies are adopting various computational methodologies such as QSAR to increase the efficiency of this entire process. In stages from hit identification to lead optimization, techniques such as ligand or structure-based virtual screening are widely being used by various pharmaceutical companies. With the help of modeling, existing data can be leveraged to gain insights into product safety and effectiveness. Owing to the efficiency of computational methods, the Foof and Drug Administration (FDA) and European Medicines Agency (EMA) have incorporated drug modeling to achieve efficient drug development. In addition, in silico (computer-aided) designs are being utilized to expedite and accomplish the process of hit identification; optimize the distribution, absorption, and metabolism of compounds; and draw toxicity profile to avoid safety issues.

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