(MENAFN- GlobeNewsWire - Nasdaq) Opportunities in the glycomics market include leveraging its role in addressing chronic diseases through advanced diagnostics and treatments. AI and machine learning enhance research efficiency, fostering glycan biomarker discovery and targeted drug development. The demand is driven by chronic disease prevalence and advanced analytics.Dublin, Dec. 02, 2025 (GLOBE NEWSWIRE) -- The "Glycomics Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2020-2030F" report has been added to ResearchAndMarkets's offering.
The Global Glycomics Market, valued at USD 1.94 Billion in 2024, is projected to experience a CAGR of 14.59% to reach USD 4.39 Billion by 2030
Glycomics is defined as the comprehensive study of glycomes, encompassing all glycan structures, whether free or complex molecules, within an organism or cell, to understand their genetic, physiological, and pathological aspects. The global glycomics market growth is significantly driven by the increasing prevalence of chronic diseases, necessitating advanced diagnostic and therapeutic tools.
The escalating global burden of chronic and infectious diseases significantly propels the glycomics market, as glycans are integral to disease pathology, immune modulation, and pathogen interactions, necessitating advanced diagnostic and therapeutic tools. Conditions such as cancer, autoimmune disorders, and metabolic diseases, including diabetes, demand sophisticated glycomics-based solutions for early detection and targeted interventions.
According to the International Diabetes Federation, in 2023, an estimated 537 million adults aged 20-79 years were living with diabetes worldwide, underscoring the substantial patient population requiring improved approaches to disease management. This pervasive disease prevalence directly stimulates demand for glycomics research and applications, fostering the discovery of novel glycan biomarkers and the development of targeted glycan-based drugs and vaccines to address critical unmet medical needs.
Key Market Challenges
A significant challenge impeding market expansion stems from the inherent structural complexity and vast diversity of glycan structures. This biological intricacy profoundly complicates comprehensive analysis and standardization efforts essential for advancing glycomics applications. The extensive range of glycan configurations and their context-dependent roles necessitate highly specialized and often costly analytical techniques, leading to prolonged research and development cycles.
Key Market Trends
The integration of artificial intelligence and machine learning in glycan data analysis represents a transformative trend, enabling researchers to process and interpret the vast, complex datasets generated from glycomics studies with greater efficiency and accuracy. These technologies are crucial for identifying patterns and correlations in glycan structures that were previously challenging to detect.
For example, according to GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning, published on arXiv in May 2024, machine learning models are being developed to predict glycan taxonomy, immunogenicity, glycosylation types, and protein-glycan interactions across diverse tasks. This analytical capability accelerates biomarker discovery and therapeutic development by translating complex glycomics information into actionable insights.
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