Transcriptomics Technologies Market Trends

Growth Drivers

• Growing Emphasis on The Creation of Bioinformatics Services and Tools- The growing emphasis on the creation of bioinformatics tools and services portends well for the worldwide transcriptomics technologies industry. Research institutes, corporations, and academic institutions are under pressure to build complex and dependable software to handle the abundance of research data due to the growing number of research and development operations. Thus, there are numerous chances for software and life science enterprises to create cutting-edge bioinformatics instruments. Because of all these variables, the opportunity in the worldwide transcriptomics technologies market was estimated to be worth USD 2.55 billion in 2015. It is expected to generate revenue from 2013 to 2019, reaching USD 4.62 billion by that year.
• Manufacturer Activities in Next-Generation Sequencing and Technological Improvements- Individual cell profiling has become standard procedure in research labs across the globe because to the quick decline in cost and advances in next-generation sequencing. The field of single-cell transcriptomics, which involves single-cell RNA sequencing (SC-RNA-seq), holds great promise for revealing the unique foundation of human existence. Single-cell transcriptomics provides a more comprehensive understanding of the well-known heterogeneity of cells at the individual level. Over the course of the forecast period, the launch of new microarrays is anticipated to fuel the expansion of the global transcriptomics technologies market. Agilent Technologies Inc., for example, introduced Agilent GenetiSure Cyto microarrays for prenatal and postnatal research in March 2020.
  Initiatives to promote personalized treatment are also anticipated to accelerate market expansion.
• Growing Automation and Personalized Medicine Needs to Drive Market Demand- Technological advancements and improvements have led to an increase in automation, and these characteristics are important for transcriptome analysis techniques like SAGE and nucleic acid amplification. The employment of the aforementioned technologies in the study of gene expression will further contribute to the development and utilization of RNA interference and sequencing technologies. A significant actor in the technology industry, next-generation sequencing was brought about by the increase in demand for targeted and whole RNA sequencing. Rising demand for customized medications and accelerating improvements in healthcare infrastructure are expected to drive the expansion of drug discovery and research during the projected period, which will eventually drive the growth of the worldwide transcriptomics technologies market .

Challenges

• Consequences of incorporating transcriptome and genome data from RNA sequencing into mechanistic models of signalpath- While RNA-seq genomics is highly versatile, it has two significant limitations. Firstly, the genomic data present in the RNA-Seq reads is typically not utilized. Nevertheless, it is possible to extract genomic variants from such sequences that might hold vital information regarding the operation and possible activity of the resulting proteins in the many processes in which they take part. It is commonly recognized that RNA-Seq has certain difficulties when it comes to calling DNA variants. Lowly expressed genes should be considered for two main reasons. As a result, variant calling is more difficult in such areas, and allele-specific gene expression may limit the identification of heterozygous variants.
• As technology has developed, there has been a rising concern about the complexity of the data when transcripts are analyzed using sequencing platforms.
• COVID-19 may have an effect on the world transcriptomics technologies market.