The global sepsis diagnostics market size is expected to reach USD 1.18 billion by 2027, according to a new report by Grand View Research, Inc. It is expected to expand at a CAGR of 9.5% from 2021 to 2027. The high prevalence of sepsis, the introduction of technologically advanced diagnostic systems, and increasing government initiatives are expected to propel market growth over the forecast period.
Sepsis is a bloodstream disease that occurs as a result of a response to pathogenic microorganisms present in the blood. Patients suffering from this disease experience severe inflammation, which leads to prolonged hospitalization. According to the WHO, around 30 million people are estimated to be affected by this disease every year. The NCBI stated that the largest number of this condition has been observed in the youngest and oldest age groups. Thus, there is a rising need for the early diagnosis of this disease. The WHO reported that every year, 1.2 million children and 3 million newborns are affected by this disease across the world. This has further boosted the demand for its diagnostic tools for quick results and improved patient outcomes.
Increasing regulatory approval and the introduction of technologically advanced diagnostic solutions for sepsis are expected to facilitate market growth over the forecast period. In May 2018, T2 Biosystems, Inc., a U.S.-based emerging diagnostic solutions company, received the U.S. FDA approval for its T2Bacteria Panel, intended for the detection of specific sepsis-causing bacterial pathogens in human whole blood specimens.
The outbreak of COVID-19 is another important factor boosting the demand for sepsis diagnostics around the globe. Symptoms of sepsis such as multiorgan injuries develop in around 2.0% to 5.0% of COVID-19 cases 8 to 10 days post-hospitalization, based on the estimates of the Global Sepsis Alliance. To manage this situation, the Biomedical Advanced Research and Development Authority, in May 2020, extended its partnership with Beckman Coulter for the development of a digital algorithm to detect sepsis in patients with COVID-19.
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