NGS is the term which is used to describe a number of different modern sequencing technologies and is also known as high throughput sequencing. Researchers are allowed to examine the biological systems, deeply due to exceptional throughput, scalability of systems, and speed by the next generation sequencing (NGS). In present times, a greater level of understanding is demanded due to the complexities involved in genomic research, than those offered by old-style DNA sequencing methods. Thus, next generation sequencing has filled the gaps to cater to these greater levels of understanding needs and has become an everyday research tool. A digital alternative to sequence based gene expression, the scalability of next generation sequencing allows altering of the level of resolution to meet experimental needs.
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Due to constant developments in data integration and cloud computing solutions, data handling bottlenecks are effectively being addressed, involving a sizeable volume analysis of high throughput sequence data. The introduction of NGS methods in combination with increasing clinical diagnosis for personalized treatment of many diseases, and genomic research are in need of fast and precise algorithms and sequencing interpretation tools which can analyze data faster. Concurrent drop in prices and high genetic data output are few of the main causes behind the rise in the scope of sequencing projects. This, in turn, is leading to an increase in the demand for advanced and efficient solutions for elaborate bioinformatics pipeline.
When seen from a geographical aspect, due to the presence of some established market players in North America, it is likely to surface as one of the lucrative regions supplementing the growth of the global next generation sequencing data analysis market. In Canadian universities, increasing number of next generation sequencing research activities is further leading to growth of the market in that region.
Next Generation Sequencing (NGS) Data Analysis Market: Overview
Next generation sequencing allows researchers to examine biological systems deeply due to the unprecedented throughput, speed, and scalability of these systems.
Today, complexities involved in genomic research demands a higher level of understanding than what is offered by traditional DNA sequencing methodologies. Next-generation sequencing has become an everyday research tool and filled the gap to cater to these needs.
NGS is the digital alternative for sequence-based gene expression. Moreover, the scalability of NGS allows to tune the resolution level to meet specific experimental needs.
The report analyzes the various segments and sub-segments at length and offers a detailed assessment of their current, past, and future performance. The factor propelling and challenging the global next generation sequencing data analysis market and recommendations on how to overcome the challenges have also been presented in this study. Using industry-centric tools, such as SWOT analysis and Porter’s Five Forces analysis, readers are given a 360-degree overview of where the NGS data analysis market will stand in the near future.
Next Generation Sequencing (NGS) Data Analysis Market: Drivers and Restraints
The continuous advancements in cloud computing and data integration solutions are effectively addressing data handling bottlenecks, which involves analyzing a sizeable volume of high-throughput sequence data. Technological advancements in bioinformatics are anticipated to provide lucrative opportunities to this vertical and hence propel growth of the global NGS data analysis market in the near future.
The introduction of NGS methods combined with their increasing adoption in clinical diagnosis, genomic research, and for personalized treatment of several diseases are bolstering the demand for precise and rapid sequencing interpretation tools and algorithms that can expedite data analysis. Moreover, the scope of sequencing projects is expected to rise due to the high genetic data output and concurrent drop in the prices of sequencing. This has led to an increased demand for elaborate bioinformatics pipeline with advanced and efficient solutions.
However, infrastructural cost for the development of algorithms and software is anticipated to hold back the market’s growth to some extent. Moreover, time-consuming nature of NGS data analysis is also hampering the market’s growth. This, however, will provide lucrative opportunities for commercial service providers to design and develop newer solutions with faster turnaround times.
Next Generation Sequencing (NGS) Data Analysis Market: Geographical Outlook
The NGS data analysis market can be analyzed with respect to the regional segments of North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. North America is the leading market for NGS data analysis due to the presence of some of the established market players in this region. Moreover, the increasing number of NGS research undertakings carried out in Canadian universities is leading to the growth of the NGS data analysis market in this region.
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However, Asia Pacific is anticipated to exhibit significant growth in this market in the coming years. This is mainly due to the increasing number of grants received for sequencing projects in the developing countries of this region. Moreover, positive R&D outcomes that are encouraging the inclusion of high-throughput sequencing in clinical diagnosis is anticipated to boost the growth of the NGS data sequencing market in Asia Pacific.
Major Companies Mentioned in Report
Some of the leading companies in the global NGS data analysis market includes Illumina Inc., Ingenuity, Station X Inc., DNAnexus SevenBridges Genomics, Genalice, Congenica, Omicia Inc., WuXiNextCODE, Bluebee, and Edico Genome.
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