Metabolomics Market Key Players, Market Analysis, Share, Trends And Forecast To 2033

The metabolomics market size has grown rapidly in recent years. It will grow from $3.11 billion in 2023 to $3.6 billion in 2024 at a compound annual growth rate (CAGR) of 15.8%. The growth in the historic period can be attributed to advancements in healthcare, drug discovery and development, disease biomarker identification, academic and research institutions, nutrition and food science.

The metabolomics market size is expected to see rapid growth in the next few years. It will grow to $6.68 billion in 2028 at a compound annual growth rate (CAGR) of 16.7%. The growth in the forecast period can be attributed to personalized healthcare, drug safety and efficacy, microbiome and gut health, environmental and agricultural applications, regenerative medicine. Major trends in the forecast period include integration with other omics, targeted metabolomics, single-cell metabolomics, data analytics and ai, point-of-care testing.

Market Overview -
Metabolomics is a branch of bio-analytics that deals with the quantification and identification of metabolic small molecules found in cells, tissues, organs, and biological fluids. Research in the area of metabolomics focuses on the chemical reactions that metabolites go through.

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Cancer Prevalence Driving Metabolomics Advancements For Early Diagnosis And Treatment
The increasing prevalence rate of cancer drives the metabolomics market growth. Metabolomics screens the potential biomarkers (specific cells, molecules, or genes, gene products, enzymes, or hormones) to measure the cancer drug responsiveness aiding early diagnosis. For instance, according to a report by WebMD, an American publisher of health-related news, in 2021, 10 million people died of cancer worldwide. For instance, in January 2022, according to the American Cancer Society, a US-based non-profit health organization dedicated to cancer elimination, the United States is anticipated to have 1.9 million new instances of cancer and 609,360 deaths due to cancer in 2022, for a total of 1,670 fatalities each day. Metabolomics approaches such as nuclear magnetic resonance (NMR) technique and mass spectrometry (MS) techniques have been used to study cancer. Companies like Metabolon Inc., Bruker Corp., and others have adopted metabolomics as a tool for early detection and cure for cancer.

Competitive Landscape -
Major companies operating in the metabolomics market include Human Metabolome Technologies Inc., Metabolon Inc., Bio-Rad Laboratories Inc., Bruker Corporation, Agilent Technologies Inc., Thermo Fisher Scientific Inc., Waters Corporation, Biocrates Life Sciences AG, Shimadzu Corporation, Danaher Corporation, Kore Technologies Ltd., Dani Instruments SpA, Perkinelmer Inc., Evans Analytical Group LLC, LECO Corporation, Phenomenome Discoveries Inc., AB Sciex, BG Medicine Inc., Biomark Diagnostics Inc., Chenomx Inc., Creative Proteomics, Evotec A.G, Merck kgaA, Southern Research Company Inc., Alcami Corporation, Charles River Laboratories International Inc., Eremid Genomic Services LLC, Metabowerke GmbH, Metabolomic Diagnostics, Phenomenex Inc.

Machine Learning Revolutionizing Metabolomics Advancements In Data Interpretation And Analysis
Machine learning is increasing its popularity in the field of metabolomics due to improving efficiency in the interpretation of data generated from metabolomics techniques. Machine learning-enabled technologies help in the automation of risky and complex processes, avoid repetitive and time taking processes, provide quick and error-free services. Companies in the industry are preferring machine learning techniques for metabolism analysis to solve problems, automate processes and execute tasks. Some of the machine learning algorithms aid in metabolism data analysis and metabolic pathway modelling. Some of the companies such as Bio-Rad Laboratories, Metabolon Inc. and others have started using machine learning algorithms for better understanding and prediction in metabolomics study. For instance, MeltDB 2.0, a machine learning software used as a tool for the analysis and integration of metabolomics experiment data that aids research, store experimental data sets. Such machine learning software offer comprehensive analysis and visualization features for the proper representation of the large complex data.

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Key Segments -

The metabolomics market covered in this report is segmented -

1) By Product & Service: Metabolomics Instruments, Metabolomics Bioinformatics Tools & Services
2) By Indication: Cancer, Cardiovascular Disorders, Neurological Disorders, Inborn Errors of Metabolism, Other Indications
3) By Application: Biomarker Discovery, Drug Discovery, Toxicology Testing, Nutrigenomics, Functional Genomics, Personalized Medicine, Other Applications

Subsegments: Separation Techniques, Detection Techniques, Bioinformatics Tools and Database, Bioinformatics Services

Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics

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