Global RNA Analysis Market Report 2022: Single Cell Transcriptomics And Associated Big Data Presents Opportunities - ResearchAndMarkets.com
The "Global RNA Analysis Market Size, Share & Trends Analysis Report by Product (Kits & Reagents, Services, Instruments), by Technology (qPCR, Sequencing), by End Use (CROs, Hospitals & Clinics), by Application, and Segment Forecasts, 2022-2030" report has been added to ResearchAndMarkets.com's offering
DUBLIN--(BUSINESS WIRE)--Nov 7, 2022--
The "Global RNA Analysis Market Size, Share & Trends Analysis Report by Product (Kits & Reagents, Services, Instruments), by Technology (qPCR, Sequencing), by End Use (CROs, Hospitals & Clinics), by Application, and Segment Forecasts, 2022-2030" report has been added to ResearchAndMarkets.com's offering.
The global RNA analysis market size is anticipated to reach USD 42.30 billion by 2030, expanding at a CAGR of 16.59% from 2022 to 2030. Transcriptomics is one of the most advanced fields in the post-genomic period. Technological advancements in this industry can be attributed to the increasing applications of transcriptome sequencing in life science for capturing polyadenylated RNA. With the expansion of next-generation high-throughput sequencing technology, the analysis of transcriptomes has been gradually improving the understanding of the regulatory network of RNA-based genes. For instance, in July 2021, the Lithuanian team is developing a droplet-based technique for simultaneous mRNA and microRNA capture and sequencing in a single cell.
The research is backed by the European Union with a USD174,000 Horizon 2020 research grant. Moreover, in May 2022, CD Genomics launched the Digital RNA sequencing technology, which is an NGS-based method that excludes sequence-dependent PCR. Such initiatives are anticipated to accelerate market growth shortly. Ribonucleic acid transcriptome analysis enables the researchers to analyze the position of genes as well as the functional patterns of a specific gene in an organism. The method assists in evaluating every transcript's changing behavior at the development stage and assesses all the elements of a transcript, including messenger ribonucleic acid, non-coding ribonucleic acid, and micro ribonucleic acid, for identifying the transcriptional structure of genes.