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DUBLIN, June 30, 2022 /PRNewswire/ — The “NGS Automation Market By Product, Sequencing Type, Application, End User – Global Forecast to 2029” report has been added to ResearchAndMarkets.com’s offering.
The NGS Automation Market is expected to grow at a CAGR of 13.4% from 2022-2029 to reach $1.33 billion by 2029.
Following a comprehensive primary and secondary study and an in-depth analysis of the market scenario, this report provides the key drivers, constraints, challenges, and opportunities in the NGS automation market. The growth of this market is driven by factors such as the increasing R&D activities in the life sciences industry, the growing demand for NGS automation in laboratories, and the increasing prevalence of chronic diseases such as cancer.
In addition, the increasing applications of next-generation sequencing and the rising number of collaborations between companies to develop library preparation protocols are expected to provide significant growth opportunities for this market. However, the high cost of automation workstations is expected to hamper the adoption of NGS automation solutions and restrain the growth of this market. In addition, factors such as regulatory & standardization concerns in diagnostic testing and the requirement of high-skilled personnel for operating automation software are the major challenges to the growth of this market.
Based on product, in 2022, the workstation/robotic platform segment is estimated to account for the largest share of the NGS automation market. The large share of this segment is attributed to factors such as the increasing demand for NGS automation solutions in laboratories and the benefits of NGS automation during library preparation compared to manual processes.
Based on application, the clinical diagnostic segment is slated to register the highest growth rate during the forecast period. The high growth of this segment is attributed to the increasing adoption of NGS by diagnostic laboratories to improve their capabilities in diagnosing rare genetic abnormalities, performing . ..
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