According to the latest report by IMARC Group, titled “Protein Purification and Isolation Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2027,” the global protein purification and isolation market to reach US$ 13.4 Billion by 2027, exhibiting a growth rate (CAGR) of 9.91% during 2022-2027.
Protein purification and isolation represent the series of processes undertaken to isolate a type of protein from a complex mixture of cells, organisms, or tissues. Such methods are mandatory for performing protein studies, which isolate, concentrate, stabilize, and remove various impurities, such as nucleic acid, viruses, endotoxins, etc. They are mainly utilized for the classification of the function, structure, and interactions of the protein. Some common examples of protein purification and isolation procedures include affinity chromatography, proteomics, immunoprecipitation, enzyme assay, etc.
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The expanding pharmaceutical industry across the globe is among the primary factors driving the protein purification and isolation market. Moreover, the governing bodies of numerous countries are launching favorable initiatives to provide tax incentives, grants, investment-friendly regulations, etc. This, in turn, is encouraging manufacturers to invest in R&D activities for developing novel drugs, which is stimulating the market growth. Besides this, the escalating need for identifying new ligands and developing purification kits to screen, prepare, purify, and concentrate protein samples is further catalyzing the product demand. Additionally, several technological advancements, including the introduction of magnetic and protein beads, automated analyzers, ligand tagging systems, etc., are also augmenting the global market. Furthermore, the increasing number of preclinical trials outsourced by drug development companies, coupled with various research initiatives in academic institutes for functional and structural proteomics, are expected to fuel the protein purification and isolation market over the forecasted period.
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