Growing adoption of QSAR and artificial intelligence in drug discovery are likely to remain key quantitative structure-activity relationship (QSAR) market trends.
A quantitative structure-activity relationship (QSAR) is a computational or mathematical modeling approach to reveal connections between biological activities and chemical compounds' structural properties. It attempts to correlate chemical structure with an activity using statistical approaches. The QSAR models are beneficial for various purposes, including the prediction of actions of untested chemicals. In addition, it helps to prioritize desired biological activities as an in silico methodology and thus decreases the number of candidate chemicals to be tested with in vivo experiments. Key factors that are driving growth of the market are increasing adoption of modeling tools in drug discovery and increasing economic burden of drug discovery. However, less adoption rate of the technique in emerging countries hinders the growth of the market.
North America is the largest market for the quantitative structure-activity relationship (, with the US holding the largest market share, followed by Canada. This can be attributed to growing numbers of research and development activities, increasing numbers of startups, and rising investments for development of novel and innovative drug candidates targeting rare and incurable diseases and others. The demand for the market in the region is anticipated to witness growth at a significant rate during the forecast period owing to other factors such as government investment in healthcare infrastructure, rising prevalence of chronic diseases, and growing adoption of big data & health IT tools.
The quantitative structure-activity relationship is a computational modeling method used for revealing relationships between structural properties of chemical compounds and biological activities. The drug discovery and development with potential therapeutic applications is a complicated, expensive, and time-consuming venture, for which various computational methodologies such as QSAR have been adopted to increase the efficiency of drug discovery. From hit identification to lead optimization, techniques such as a 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 product safety and effectiveness insights. Owing to the efficiency of computational methods, the FDA and EMA have incorporated drug modeling to achieve efficient drug development.
The companies engaged in drug discovery and development are adopting various business strategies to expedite discovery timelines and improve product quality. Several players in this market are focusing on collaboration with innovative biotech companies, academics, and pharmaceutical companies to enhance their respective in silico-based service portfolio and maintain a competitive edge in the industry. Majority of the pharmaceutical companies have been benefited by adopting modeling software, which, in turn is expected to propel the growth of the quantitative structure-activity relationship (QSAR) market during the forecast period. For instance, Schrodinger’s collaboration with Agios Pharmaceuticals, Inc. resulted in two FDA approved therapies with the help of computational platform.
Key segments that contributed to the derivation of the quantitative structure-activity relationship (QSAR) market analysis are disease and imaging modality.
The geographic scope of the quantitative structure-activity relationship (QSAR) market report is mainly divided into five regions: North America, Asia Pacific, Europe, Middle East & Africa, and South America/South & Central America.
North America has dominated the quantitative structure-activity relationship (QSAR) market. The US is the largest market for QSAR. The growth of this market is primarily driven by the rapid integration of AI for the drug discovery, increasing preference for personalized medicine, high R&D spending for novel therapeutic applications and presence of major market players in the US. In addition, rising collaboration and partnerships of the pharmaceutical companies with the artificial intelligence technology companies for the development of the drugs, further boosting the growth of the market. Furthermore, growing awareness about the artificial intelligence technologies in the pharmaceutical industries will be providing various growth opportunities in the market.
The quantitative structure-activity relationship (QSAR) market is evaluated by gathering qualitative and quantitative data post primary and secondary research, which includes important corporate publications, association data, and databases. The following is a list of developments in the market for speech and language disorders and strategies:
The regional trends and factors influencing the Quantitative Structure-Activity Relationship (QSAR) Market throughout the forecast period have been thoroughly explained by the analysts at Insight Partners. This section also discusses Quantitative Structure-Activity Relationship (QSAR) Market segments and geography across North America, Europe, Asia Pacific, Middle East and Africa, and South and Central America.
| Report Attribute | Details |
|---|---|
| Market size in 2023 | US$ 1.59 Billion |
| Market Size by 2031 | US$ 2.3 Billion |
| Global CAGR (2023 - 2031) | 5.4% |
| Historical Data | 2021-2022 |
| Forecast period | 2023-2031 |
| Segments Covered |
By Application
|
| Regions and Countries Covered | North America
|
| Market leaders and key company profiles |
The Quantitative Structure-Activity Relationship (QSAR) Market market is growing rapidly, driven by increasing end-user demand due to factors such as evolving consumer preferences, technological advancements, and greater awareness of the product's benefits. As demand rises, businesses are expanding their offerings, innovating to meet consumer needs, and capitalizing on emerging trends, which further fuels market growth.
Market players density refers to the distribution of firms or companies operating within a particular market or industry. It indicates how many competitors (market players) are present in a given market space relative to its size or total market value.
Major Companies operating in the Quantitative Structure-Activity Relationship (QSAR) Market are:
Disclaimer: The companies listed above are not ranked in any particular order.
The “Quantitative Structure-Activity Relationship (QSAR) Market Size and Forecast (2023–2031)” report provides a detailed analysis of the market covering below areas: