IMARC Group, a leading market research company, has recently releases report titled, “ Metabolomics Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028 ” The study provides a detailed analysis of the industry, including the global metabolomics market size, share, trends, and growth forecasts. The report also includes competitor and regional analysis and highlights the latest advances in the market.
Report Highlights
The global metabolomics market size reached US$ 2.4 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 4.7 Billion by 2028, exhibiting a growth rate (CAGR) of 11.55% during 2023-2028.
The study and examination of tiny molecules found in cells, biofluids, tissues, and living things is known as metabolomics.It involves a number of procedures, including data mining, extraction, and analysis, as well as the acquisition, separation, and detection of analytes.It uses a variety of analytical methods, including high-resolution mass spectrometry (HRMS) and nuclear magnetic resonance (NMR) spectroscopy. It serves as an effective tool in the diagnosis of a disease and facilitates the prediction of treatment response and survival. As it is also employed to detect the recurrence of a disease after therapy, metabolomics is gaining traction in biomarker and drug discovery, toxicology, nutrigenomics, and personalized medicines across the globe.
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One of the primary factors favourably affecting the market at the moment is the growing worldwide elderly population as well as the rising prevalence of cancer and various cardiovascular and neurological ailments.Additionally, the demand for untargeted metabolomics for IEM screening is being sparked by an increase in the incidence of inborn errors of metabolism (IEM), such as fructose intolerance, maple syrup urine disease (MSUD), fatty acid oxidation abnormalities, mitochondrial disorders, and phenylketonuria (PKU). In line with this, increasing investments in research and development (R&D) activities and rising integration of machine learning (ML) algorithms with metabolomics to identify weight gain biomarkers is fueling the growth of the market.
The report has segmented the market into the following categories:
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The report covers the major market players including:
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