To cope up with the current and future market demand, metabolomics service providers are actively collaborating with various stakeholders across the globe.

The metabolomics market size is expected to grow at compounded annual growth rate (CAGR) of 14.9% during the forecast period.

During our research, we came across several partnerships and collaborations that have been inked between various stakeholders engaged in providing metabolomics services. Out of all the partnerships, research agreement has emerged as the most popular type of partnership signed by players engaged in providing metabolomics services. The industry has also witnessed seven instances of acquisitions in the given time period. This trend reflects the fact that companies are continuously striving to expand their existing service offerings. It is worth highlighting that the stakeholders in this industry are increasingly establishing long term strategic collaborations to better align their service offerings with the current market demand.

It was observed that the companies headquartered in the US and Germany have signed both indigenous and international agreements. Majority of the deals (both local and international) were inked by players based in the US. On the other hand, companies based in Spain, the UK, Sweden, New Zealand, Singapore, France and Austria have only signed international agreements.

There is a dire need for standardization and harmonization in metabolomics in order to deliver comparable, precise and high-quality results.

One of the major challenges that needs to be addressed in this market is the ability to identify and enable correct identification and interpretation of unknown compounds present in a biological sample which could be achieved by optimizing the coverage of a metabolome database. Further, there is a dire need to increase the reproducibility of metabolomics data in order to improve the reliability of downstream analysis of high-throughput metabolomics studies.

Value creation framework includes an insightful depiction for implementation of several advanced tools and technologies at different stages of a metabolomics study, such as metabolite profiling, data processing and data storage, which can assist service providers to address unmet needs associated with such services. Additionally, it provides a detailed analysis on ease of implementation, associated risk and value creation in integrating such tools / technologies, based on the trends highlighted in published literature and patents.

The value creation framework includes seven key tools and technologies that can assist metabolomics service providers to enhance their services portfolio, based on several relevant parameters. These are as follows:

·         Artificial Intelligence

·         Big Data Analytics

·         Blockchain

·         Cloud Computing

·         Deep Learning

·         Machine Learning

·         Quantum Computing

The projected market opportunity is anticipated to be well-distributed across different areas of application, type of metabolome profiling technique used, types of metabolomic services offered, end users and key geographical regions.

Metabolomics services industry is the rising realm amongst stakeholders in pursuit of comprehensive molecular analysis and metabolite profiling.

Since the initiation of the Human Metabolome Project in 2005, the metabolomics technique has gathered significant attention from the industry stakeholders. It is worth mentioning that about 40,000 small molecules constitute the human metabolome. Further, 30% of the known genetic disorders are associated with small-molecule metabolism. Therefore, metabolome profiling can assist in obtaining a better understanding of the disease. The approach has also demonstrated to be capable of identifying new biomarkers (for diagnosis and prognosis) and novel drug targets. In fact, 50% of the total drug candidates are reported to emanate from pre-existing metabolites. Integration of metabolomics with development projects holds the potential to significantly improve the efficiency and success rate of drug discovery, owing to its ability to differentiate promising candidates in the early stages.  As a result, metabolomics has become an indispensable part of modern drug discovery and development process and disease diagnosis. Further, with the growing prominence of personalized medicine, there is an increased demand for rapid, highly sensitive and accurate quantification methods, such as metabolomics, to analyze clinical specimens.

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