The global Targeted RNA sequencing Market experienced robust growth in 2020 and is expected to continue registering steady revenue growth over the forecast period. The popularity and adoption of targeted RNA sequencing in research institutes, hospitals and clinics, biotechnology companies, and diagnostic labs are key drivers of market growth. Targeted RNA sequencing is a precise method for identifying and sequencing individual RNA transcripts, providing both quantitative and qualitative data. The exome sequencing segment is expected to reach the highest revenue share over the forecast period, while the research institutes segment is expected to lead in terms of application type.

Advancements in sequencing technology, increasing acceptance of NGS technology, and partnerships and collaborations among major companies are key factors driving revenue growth. However, the sudden emergence of the COVID-19 pandemic, the scarcity of experienced personnel, issues with storing sequencing data, and the high cost of installation and maintenance of machines are factors that are expected to hinder market growth. Despite this, the identification of known and unknown fusion gene pairs and government initiatives in population sequencing in emerging economies such as China and India are expected to open up new business opportunities for major players and new entrants in the market.

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North America emerged as the largest market for targeted RNA sequencing in 2020, while the Asia Pacific targeted RNA sequencing market is expected to register the fastest growth in CAGR over the forecast period. Companies such as Thermo Fisher, Illumina, Roche Holdings, BGI, Eurofins, LabCorp, Berry Genomics, Macrogen, and GENEWIZ are profiled in the report. The report offers historical data points and forecasts, revenue growth at a global, regional, and country level, and analysis, industry trends, and consumption pattern details for each region, major country, and segment from 2018 to 2028. It also includes industry analysis and competitive landscape, company financials, and impact analysis.

The targeted RNA sequencing market has seen notable innovations in recent years. Here are some of the most significant ones:

·         Single-cell targeted RNA sequencing: Single-cell RNA sequencing (scRNA-seq) has been a popular method for analyzing gene expression at the individual cell level. However, traditional scRNA-seq methods can suffer from low coverage and high levels of technical noise. Targeted RNA sequencing has been applied to single-cell analysis, allowing for higher coverage of specific genes or transcripts of interest, and reducing technical noise.

·         Digital droplet PCR: Digital droplet PCR (ddPCR) is a method of nucleic acid quantification that involves partitioning a sample into thousands of tiny droplets, each containing one or zero copies of a target molecule. This method can be used in combination with targeted RNA sequencing to accurately measure the expression levels of specific genes or transcripts.

·         Fusion gene detection: Targeted RNA sequencing can be used to detect fusion genes, which are formed when two separate genes are abnormally joined together. Fusion genes can play a role in cancer development and can serve as biomarkers for certain types of cancer. Targeted RNA sequencing can help identify novel fusion genes as well as confirm known fusion genes.

·         Long-read sequencing: Long-read sequencing technologies, such as PacBio and Oxford Nanopore, have improved the accuracy and completeness of RNA sequencing data. Long-read sequencing can be used in combination with targeted RNA sequencing to obtain more comprehensive coverage of transcripts of interest.

·         In situ sequencing: In situ sequencing allows for the direct visualization of RNA transcripts in tissue samples. This technique involves labeling RNA probes with fluorescent dyes and imaging the probes using microscopy. Targeted RNA sequencing can be used to design probes for specific genes or transcripts of interest, allowing for the spatial mapping of gene expression in tissues.

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