Next Gen Sequencing Data Analysis Market Worth $1.5 Billion By 2027
The global next gen sequencing data analysis market size is expected to reach USD 1.5 billion by 2027, expanding at a CAGR of 12.9%, according to a new report by Grand View Research, Inc. Next generation sequencing (NGS) has transformed the field of proteomic and genomic research as the technology is highly accurate, offering higher throughput and used for a variety of applications. This includes de novo assembly, transcriptome, whole-genome sequencing, and resequencing for DNA and RNA. Hence, the high adoption of NGS by academic and clinical settings for genomic and proteomic research drives the demand for NGS data analysis tools.
Numerous tools, such as EpiGentek’s Targeted Methyl-Seq platform and Agilent’s HaloPlex capture system, are used to determine DNA methylation profiles across any individual genome. Bisulfite-methylation mapping of whole-genome is currently a feasible technique for targeted sequencing. Besides, expansion of targeted methylation NGS analysis by techniques such as Single Molecule Real-Time Bisulfite Sequencing is driving the market.
Epigentek Group, Inc.; Novogene Co., Ltd.; and CD Genomics are among the few companies that provide services related to targeted bisulfite or methylation sequencing data analysis. Furthermore, key companies are constantly expanding their product line to suffice significant upswing in the demand for these solutions globally. For instance, in July 2020, Pacific Biosciences introduced SMRT Link v9.0 software that is compatible with its Sequel II System.
Further key findings from the report suggest:
- Analytical software is expected to witness significant growth over the forecast period due to the high demand for data management software for managing a large amount of sequenced information
- QIAGEN’s CLC Genomics Workbench is one such solution that is a complete toolkit for analyzing transcriptomics, metagenomics, genomics, and epigenomics in one single program
- The NGS tertiary data analysis segment held the largest share for workflows in 2019 as it involves the usage of numerous tools
- In addition, the tertiary step is an experiment-specific, complex, and time-consuming step of NGS workflow
- Availability of software and tools, such as PolyPhen, SIFT, and CIViC, for variant interpretation and annotation, is attributive to the larger share of the segment
- The outsourced mode segment has gained immense popularity as it minimizes the requirement of expensive computational infrastructure and complex software tools
- SciBerge.Kfm, a German firm, offers outsourced analyzing services to allow its users to interpret NGS information in a fraction of the total price incurred for deep sequencing and DNA library preparation
- The wide availability of algorithms and alignment tools for analyzing whole-genome, amplicon, 16S rRNA, methylation, and tumor-normal sequenced data contributes to the dominant revenue share of the short-read segment in 2019
- TopHat, Bowtie2, STAR, BWA, Minimap2, and HISAT2 are the commonly used alignment tools for high-throughput short-read sequencing
- The academic research end-use segment dominated the market in terms of revenue share in 2019
- The rise in the number of skilled professionals, usage of NGS computational tools, and availability of on-site bioinformatics courses and training programs contribute to a larger revenue share
- North America dominated the market in 2019 in terms of revenue generation
- The launch of large-scale projects to sequence genome, high demand for personalized medicine, constant approval, and favorable reimbursement policies for NGS-based diagnostic tests are among few factors attributive for the region’s larger share
- Major market participants have undertaken strategic initiatives to expand the scope of NGS computational tools
- For instance, in October 2019, Thermo Fisher signed an agreement with Genialis and integrated its Invitrogen Collibri Stranded RNA Library Prep Kit with Genialis Expressions analysis software to ease the evaluation of RNA sequenced data.