Protein Sequencing Market Presents Significant Growth Opportunities, Driven By Advanced Genomics

Pharmaceuticals
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The protein sequencing market is estimated to be valued at US$ 1.9 billion in 2022 and is expected to exhibit a CAGR of 11.2% over the forecast period 2023-2030, as highlighted in a new report published by Coherent Market Insights.

Market Overview:
The protein sequencing market involves the identification of amino acid sequences within proteins. Advancements in next-generation sequencing technologies have enabled high-throughput sequencing of entire proteomes, allowing for large-scale protein identification. Protein sequencing finds widespread application in various areas of life sciences research including drug discovery and development, disease diagnostics, toxicology, forensics, and clinical research. Advancements in mass spectrometry-based techniques have accelerated protein sequencing workflows.

Market Dynamics:
Growth in the protein sequencing market is expected to be driven by increasing investments and funding for genomics and proteomics research. For instance, the National Human Genome Research Institute has invested over $4.5 billion globally towards large-scale genome sequencing efforts since 2003. Additionally, rising demand for personalized medicine is also fueling the need for understanding disease mechanisms at the protein level through proteomics. Furthermore, developments in mass spectrometry instrumentation with high resolution, accuracy and throughput have simplified protein sequencing workflows and reduced turnaround times. However, complexity of the proteome with respect to alternative splicing and post translational modifications still poses challenges.

Segment Analysis
The global protein sequencing market is segmented into instruments, reagents/consumables and services. The reagents/consumables segment dominated the market in 2022 owing to high consumption of kits and reagents for protein analysis procedures. Reagents are regularly purchased which supplements the revenue generation in this segment.

PEST Analysis
Political: The government policies supporting research & development activities in the field of proteomics drive the market. The government funding for academic research as well as clinical proteomics projects propels the industry.
Economic: Rising healthcare expenditure in developing countries opens new opportunities. Technological advancements reducing the cost of sequencing fuels the market growth.

Social: Increasing applications of proteomics in disease diagnosis and drug discovery encourages market growth. Growing awareness about advantages of protein sequencing for treatment and disease management positively influences the market.
Technological: Technological innovations such as automation, MALDI-TOF MS, mass spectrometry coupled with chromatography have accelerated market growth. Continued advancements have made protein sequencing more efficient and affordable.

Key Takeaways
Global Protein Sequencing Market Size is expected to witness high growth, exhibiting CAGR of 11.2% over the forecast period, due to increasing research & development spending and disease diagnosis applications.

Regional analysis: North America dominates the global protein sequencing market owing to presence of major market players and advanced healthcare infrastructure in the region. However, Asia Pacific is expected to grow at the fastest pace during the forecast period with China and India being major revenue contributors in the region. Rising proteomic research and increasing healthcare expenditure provide high growth opportunities in Asia Pacific.

Key players operating in the protein sequencing market are Agilent Technologies, Thermo Fisher Scientific, SGS S.A., Shimadzu Corp, Waters Corp., Bio-Rad Laboratories, Bruker Corporation, Charles River Laboratories, Selvita, Rapid Novor Inc. Key players are focusing on expanding their product portfolios through new product launches. For instance, in 2022, Thermo Fisher Scientific launched Q Exactive HF-X mass spectrometer to assist high-throughput proteomic workflows. 

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