PROTEIN SEQUENCING MARKET SIZE AND SHARE ANALYSIS - GROWTH TRENDS AND FORECASTS (2023 - 2030)

Protein Sequencing Market Size and Trends

The protein sequencing market size is expected to reach US$ 4.22 billion by 2030, from US$ 1.90 billion in 2023, at a CAGR of 12.1% during the forecast period. Protein sequencing is the process of determining the amino acid sequence of a protein. It provides vital information about protein structure, function, and interactions. The key technologies used are Edman degradation, mass spectrometry, and others. Protein sequencing finds applications in academic research, clinical diagnosis, biopharmaceuticals, forensics, and food analysis. The growth of the market is driven by increasing investments in proteomics research, growth in the biopharmaceutical sector, and technological advancements in sequencing methods.

Protein Sequencing Market Trends:

• The growing adoption of mass spectrometry for protein sequencing: The growing adoption of mass spectrometry techniques for protein sequencing is having a significant influence on the global protein sequencing market. Mass spectrometry has emerged as a powerful analytical tool that enables rapid, precise and sensitive characterization and identification of proteins from complex biological samples. It allows sequencing proteins de novo without relying on genomic database searching, thereby increasing the scope of proteome coverage. This rising adoption can be evidenced from protein research publications data. According to recent statistics from the United States National Library of Medicine, the number of research articles featuring the terms "mass spectrometry and protein sequencing/characterization" has grown by over 35% from 2020 to 2022.
• Companies are increasingly focusing on developing integrated, automated sequencing systems. For instance, in March 2022, Thermo Fisher Scientific, a biotechnology company, launched the CE-IVD marked Ion Torrent Genexus Dx Integrated Sequencer, an automated, next-generation sequencing (NGS) platform that delivers results in as little as a single day. Designed for use in clinical laboratories, the fully validated system enables users to perform both diagnostic testing and clinical research on a single instrument.
• Use of bioinformatics tools and AI: Use of bioinformatics tools and AI for sequence analysis is rising given the vast data generated from high-throughput techniques. Software platforms like Protein Metrics' Byos allow automated, real-time protein identification from mass spec data. Sophisticated algorithms for de novo sequencing and PTM characterization also continue advancing.
• There is growing adoption of microfluidics and nanoPOTS: There is growing adoption of microfluidics and nanoPOTS for protein sequencing. Microfluidic chips allow sequencing from tiny samples, integrating sample prep and analysis. Nano- Plotter systems automate sample deposition for high-throughput Edman sequencing. These provide greater efficiency and flexibility.