DNA sequencing market is one of the fastest growing segments of the life sciences tools market. This research study includes the market assessment of various products, technologies, applications and end-users. The report briefs about the classification in genomics, process of transcription and translation of DNA, historical development, and generations of sequencing technologies.
The sequencing industry is majorly classified into 3 generations; first generation, second generation / next generation and emerging sequencing technologies. Next-gen sequencing has been the fastest to grow since 2010. The core factors generating demand and driving the growth of industry are growth of emerging and applied economies, heavy investments in research and development, rapid rise in complex diseases, rising infertility at young ages and many more. The emerging technologies are on the way of growth, thus reducing the cost of DNA sequencing.
Some of the noteworthy trends and developments include growing demand from healthcare, declining sequencing cost and recent mergers and acquisitions. However, the industry growth is hindered by front and back-end challenges like faster changes in technology, emerging competition, rising complexity of diseases, and rising R&D cost.
The report analyzes the global DNA sequencing market along with an extensive coverage of its major product segments. The sequencing industry witnesses intense competition with numerous top notch players; such as Illumina Inc., Roche and Thermo Fisher; operating in the marketplace along with small budding players like Pacific Biosciences. The fierce competition prevailing in the sequencing industry has been studied on a number of parameters such as emerging market exposure, R&D expenditures, and presence in various market segments. The company profiles of leading players in the market are also presented in the report.
By combining SPSS Inc.’s data integration and analysis capabilities with our relevant findings, we have predicted the future growth of the industry. We employed various significant variables that have an impact on this industry and created regression models with SPSS Base to determine the future direction of the industry. Before deploying the regression model, the relationship between several independent or predictor variables and the dependent variable was analyzed using standard SPSS output, including charts, tables and tests.