PUBLISHER: Grand View Research | PRODUCT CODE: 1511944
PUBLISHER: Grand View Research | PRODUCT CODE: 1511944
The global veterinary antimicrobial susceptibility testing market size is expected to reach USD 1.50 billion by 2030, registering a CAGR of 5.8% from 2024 to 2030, according to a new report by Grand View Research, Inc. Rising need to curtail AMR in food animals and zoonosis are key drivers for this market. Animals used for food are most susceptible to Antimicrobial Resistance (AMR) as to ensure a quality yield, the animal owners often feed them. These drugs, although they ensure that the animals remain healthy from any infection, may lead to the development of resistance from a variety of microbes over some time. AMR is a growing occurrence in food animals, threatening their health and possibly human health.
A January 2024 study in Nature Communications explored the antimicrobial resistance in food animals in various countries like China, India, Brazil, Chile, and others. Drug resistance of different antimicrobials was studied in species like E.coli & non-typhoidal Salmonella. The study concluded tetracycline had the highest resistance prevalence of 59% in E.coli and 54% in non-typhoidal Salmonella. However, the lowest resistance prevalence was found for cefotaxime, i.e., 33% & 19%, respectively, in E.coli & non-typhoidal Salmonella. The surveillance study also classified the AMR into regional locations. For instance, pathogens from 78% of locations studied in African & South American regions were resistant to penicillin or tetracyclines. On the other hand, in Asia, pathogens from 77% of locations were resistant to penicillin or sulphonamides.
This highlights the significant prevalence of antimicrobial resistance in food animals across the globe, increasing the emphasis on the urgent need for effective antimicrobial susceptibility testing products. As AMR threatens animal and human health, a rise in demand for appropriate testing solutions to combat this resistance will be experienced. The demand for advanced testing technologies among veterinary professionals to accurately assess antimicrobial susceptibility patterns will increase, driving the market growth.
Artificial Intelligence (AI) is another potential driving factor for the market owing to industry developments focused on integrating AI into veterinary AST. For instance, in November 2023, the University of Oxford's Oxford Martin Programme on Antimicrobial Resistance Testing displayed AI's capability of detecting antimicrobial resistance in only 30 minutes. Such developments paint a promising picture of market growth.