Global Statistics Representing Automated Microbial Identification Market Scenario
Microbial identification is the method of identifying and characterizing bacteria, yeast, and fungi using limited spectrum of tests pre-chosen or automated microbial identification system. These microorganisms can contaminate manufacturing facilities, raw materials, and branded products. Therefore, the automated microbial identification system has been designed for rapid identification, enumeration, detection of bacteria and yeasts in clinical specimens as well as to provide enhanced testing than the traditional culturing methods. The automated microbial identification system is most commonly used in environmental studies, clinical settings, and manufacturing facilities.
Accuracy and safety of automated microbial identification system is expected to drive the global automated microbial identification market. The automated microbial identification system offers rapid identification of microorganism. Therefore, it is used in diagnostics centers, clinical laboratories, and hospitals for obtaining faster and enhanced results. These systems are fully automated and offer precise and accurate results, thus, several industries can plan their future developments such as qualitative manufacturing process and compete with other players. Automated microbial identification systems have various added features that help not only to detect bacteria but also provide full classification such as species, genus, and its counts by matching with stored information. For instance, SCANRDI developed by bioMerieux SA is a fully automated real-time microbial detection system that use solid phase cytometry method to provide extreme accuracy within 90 minutes.
Rising concerns towards food contamination and increasing prevalence of infectious diseases is expected to escalate the market growth further. Rising prevalence of infectious diseases across the globe is driving the growth of the global microbial identification system market. Pathogenic microorganisms, such as bacteria, fungi, and viruses contaminate food & water and cause a range of infectious disease worldwide. Hepatitis, tuberculosis, measles, and malaria are some of the major infectious diseases caused by microorganisms. According to the World Health Organization (WHO) in 2016, around 216 million cases of malaria were reported in 91 countries. Thus, microbial infection is the leading cause of millions of deaths across the globe and demanding advanced healthcare technology & system that can help to combat the problem of raw material contamination in various industries.
Global automated microbial identification market was valued at USD 377.3 million in 2018 and is expected to attain USD 619.8 million by 2026, at a CAGR of 6.6%.
Global automated microbial identification market is segmented on the basis of type, application, test, and region.
Based on type, the market is segmented into aerobic, anaerobic, fungi/mold, and other types. Aerobic segment is expected to account for highest share among types. Identification of aerobic bacteria and their count in samples from various industries is of utmost important. The aerobic plate count (APC) is one type of microbiological purity tests used for identification of bacterial populations on a sample. It is also known as standard plate count, aerobic colony count, total plate count, or mesophilic count. This test works on the assumption that each cell of sample forms a visible colony on mixing with agar comprising the appropriate nutrients. However, it does not represent measure and analysis of the entire bacterial population and does not distinguish types of bacteria. It is used to measure organoleptic acceptability, sanitary quality, and adherence to good manufacturing practices.
Identification of anaerobic bacteria plays an important role as some of the anaerobic bacteria may cause affect human health. Automated systems allow the user to perform various test simultaneously from identification to count. Anaerobic plate count is used to measure the number of anaerobic bacteria. However, the presence of anaerobic bacteria in a sample does not necessarily mean that sample has potential foodborne pathogens. For instance, some foods such as raw meat may naturally have high number of anaerobic mesophilic bacteria. However, few strains of the bacteria may contaminate the food. These bacteria can also be useful for the environment and humans. For instance, they are used in the production of methane gas in waste management and as waste digesters in several industries to clean oil spills.
Based on testing, the market is segmented into raw material testing, in-process testing, medical devices testing, and other testing methods. Some of the manufacturing processes have to go through microbial identification and their population count. These tests are performed to evaluate microbial contamination in manufacturing process, which include three major types of testing: raw material testing, in-process testing, and medical device testing. Raw material testing segment is expected to account for major share among tests. Automated microbial identification system ensures qualitative pharmaceutical manufacturing with more precise and faster results. Therefore, delays in the production can be avoided by rapid microbial detection in raw materials. Raw material testing is primarily used for pharmaceuticals, cosmetic industries, and medical device, and sometimes in food and beverages industry. Many industrial products require highly monitored and hygienic environment where product cannot be manufactured without performing raw material testing. This is performed to ensure purity, identity, and quality of the raw materials in order to prevent contamination during the manufacturing process and ensure the final product is appropriate for intended use. In-process testing is crucial for quality control in a chemical manufacturing plant and other industries. It is performed by actual sample analysis or monitoring the production process. Such testing requires automated microbial identification system for the rapid detection of microorganism and to validate the entire process and manufacture quality products.
Medical device testing is expected to account for significant share among tests. It is mandatory for medical devices manufacturers to meet the set regulatory compliance standards for contamination control and industrial sterilization. Every medical device is checked and approved by the U.S. Food and Drug Administration (FDA) before being commercialized. However, medical device manufacturers are facing challenge to establish reliable environmental monitoring during production of medical devices to prevent device associated infection. Therefore, automated microbial identifications systems are employed for continuous monitoring of the process.
Based on region, the market is segmented into North America, Europe, Asia Pacific, and Latin America and the Middle East & Africa.
North America dominates the global market. Concentration of global automated microbial systems manufacturing companies in the region and well-established healthcare infrastructure, are expected to drive the North America automated microbial identification market. For instance, most of the leading companies in the global microbial identification system market are established in the U.S. including Charles River (U.S.), MIDI Inc. (U.S.), and Thermo Fisher Scientific (U.S.) and others. It has been estimated that rising incidences of food poisoning is driving the demand for automated microbial identification system. For instance, according to the U.S. CDC, almost one in six Americans in the U.S. is affected by food poisoning or foodborne illness each year and approximately 3,000 deaths and 128,000 hospitalizations are recorded annually. Furthermore, Salmonella, a bacterium, is the leading cause of hospitalization due to foodborne illness in the U.S. with more than 19,000 cases each year. Midi Inc., global company in the U.S., has developed Sherlock Microbial Identification System (MIS) for accurate and rapid solution for the detection of more than 1,500 microbial species and fatty acids by GC-FAME analysis.
Europe automated microbial identification market is expected to account for significant share of the global market. This is attributed to large numbers of people affected by foodborne illness. For instance, according to statistics of World Health Organizations (WHO), more than 23 million people in European Union gets affected by food poisoning each year. Out of which, almost 15 million people face infection of Norovirus and around 5 million people suffer from Campylobacteriosis caused by Campylobacter bacterium. Around 5,000 deaths are recorded due to food contamination each year. Rising incidences of mycotoxin contamination in the food supply chain is the major contributor to the growth of the global automated microbial identification system market. Moreover, several leading manufacturers such Merck KGaA and bioMérieux, Inc. are present in the region and providing effective solution for the identification of microorganisms. For instance, Merck KGaA offers Milliflex Rapid detection system for microbial contamination.
Some of the major players of the global automated microbial identification market are, Becton, Dickinson and Company, bioMerieux, Inc., Charles River, Mediray, Highpower Validation Testing & Lab Services, Merck KGaA, Trivitron Healthcare, Pall Corporation, Thermo Fisher Scientific, VWR (Avantor), Nelson Laboratories, NAMSA (North American Science Associates), Eurofins Scientific, Lonza, and SGS North America.
Automated Microbial Identification Market Segmentation
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