July 20, 2024
Antimicrobial Susceptibility Testing Market

Antimicrobial Susceptibility Testing Market Is Estimated To Witness High Growth Owing To Increasing Prevalence of Infectious Diseases

The Antimicrobial Susceptibility Testing market is estimated to be valued at US$3,525.75 Mn in 2022 and is expected to exhibit a CAGR of 6.4% over the forecast period 2022-2030, as highlighted in a new report published by Coherent Market Insights.

Market Overview:

The Antimicrobial Susceptibility Testing market refers to the process of determining the susceptibility of microorganisms to antimicrobial drugs. It plays a crucial role in guiding appropriate therapy for infectious diseases and preventing the emergence of drug-resistant microorganisms. The market offers various products for effective testing, including automated systems, kits, and consumables. Antimicrobial Susceptibility Testing has numerous applications in clinical diagnostics, pharmaceutical research, and food microbiology.

Market Dynamics:

The market dynamics for Antimicrobial Susceptibility Testing are driven by several factors. Firstly, the increasing prevalence of infectious diseases globally is a major driver for the market, as it creates a significant demand for accurate and rapid testing methods. Additionally, growing government initiatives to tackle antimicrobial resistance and improve patient outcomes further propel market growth.

The advancements in technology and the development of automated systems have revolutionized the market by improving testing accuracy and efficiency. Moreover, the rising adoption of precision medicine and personalized treatment approaches creates lucrative opportunities for market players.

Segment Analysis:

The Antimicrobial Susceptibility Testing Market can be segmented based on product type, method, application, and end user. In terms of product type, the AST market can be further divided into automated systems, manual testing systems, and consumables. Among these, automated systems dominate the market due to their ability to provide fast and accurate results.

In terms of the method, the AST market can be categorized into broth dilution, disk diffusion, rapid automated AST, and molecular testing. The disk diffusion method is currently the dominating sub-segment due to its simplicity, cost-effectiveness, and widespread use in laboratories.

In terms of application, the AST market can be segmented into urinary tract infections, respiratory infections, blood stream infections, gastro-intestinal infections, and others. Blood stream infections dominate the market as they have a high demand for accurate and timely results to guide appropriate antibiotic therapy.

Key Takeaways:

The global Antimicrobial Susceptibility Testing market is expected to witness high growth, exhibiting a CAGR of 6.4% over the forecast period. This growth can be attributed to the increasing prevalence of drug-resistant infections, the rising demand for rapid diagnostic techniques, and the need for appropriate antimicrobial therapy.

In terms of regional analysis, North America is the fastest-growing and dominating region in the Antimicrobial Susceptibility Testing market. This can be attributed to the presence of well-established healthcare infrastructure, rising awareness about antibiotic stewardship programs, and high healthcare expenditure in the region.

Key players operating in the Antimicrobial Susceptibility Testing market include Thermo Fisher Scientific Inc., BIOMÉRIEUX, HiMedia Laboratories, Alifax S.r.l. Italy, Creative Diagnostics, Resistell AG, Danaher, Becton, Dickinson and Company, Merck KGaA, Bio-Rad Laboratories, Inc., Bruker, Nissui Pharmaceutical Co., Ltd., F. Hoffmann-La Roche Ltd., Synbiosis, Mast Group Ltd., ELITechGroup, Flinn Scientific, CONDALAB, Accelerate Diagnostics, Inc., and Zhuhai DL Biotech Co., Ltd. These key players are continuously focused on product development, collaborations, and mergers and acquisitions to strengthen their market position.

*Note:

  1. Source: Coherent Market Insights, Public sources, Desk research
  2. We have leveraged AI tools to mine information and compile it