NGS automation comprises various automation workstations and their respective reagents and consumables. NGS automation refers to the automation of the NGS library preparation. This process enables researchers to improve their library quality by generating consistent, reliable, and reproducible NGS data. NGS automation also enhances cost-efficiency and reduces the duration of the process. Additionally, NGS automation reduces the risk of contamination by limiting manual interaction with the reagents and samples.

Meticulous Research®, in its latest publication on the NGS automation market, states that the NGS automation market is expected to grow at a CAGR of 13.4% from 2022–2029 to reach $940.2 Million.

The growth of this market is attributed to factors such as the increasing demand for automation in NGS workflow, the rising incidences of cancer, and the increasing R&D investments and healthcare expenditure. 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.

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To provide efficient analysis, Meticulous Research® has segmented this market based on product, application, sequencing type, end user, and geography. The study also evaluates industry competitors and analyzes the market at the country level.

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, in 2022, the drug discovery segment is estimated to account for the largest share of the NGS automation market. The large share of this segment is attributed to rising pharmaceutical & biotechnology R&D expenditure and the increasing adoption of NGS in drug discovery, boosting the demand for NGS automation.

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Based on sequencing type, in 2022, the whole genome sequencing segment is estimated to account for the largest share of the NGS automation market. The large market share of this segment is attributed to the high adoption of WGS due to its applications such as the identification of inherited disorders, characterization of the mutations that drive cancer progression, tracking of disease outbreaks, and the growing need to reduce per sample costs of NGS.

Based on end user, in 2022, the pharmaceutical and biotechnology companies segment is estimated to account for the largest share of the NGS automation market. The large market share of this segment is attributed to rising R&D spending by the pharmaceutical & biotechnology companies coupled with the growing demand for new drug discovery using efficient technologies like NGS automation.

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Geographic Review

In 2022, North America is estimated to account for the largest share of the NGS automation market, followed by Europe and Asia-Pacific. North America’s major market share is attributed to the rising adoption of NGS, increasing R&D expenditure, and the presence of key market players in the region.

Key Players:

The report provides competitive intelligence such as financials, growth strategies, product, application, sequencing type, end user, and geographical presence of the key players operating in this market, including Agilent Technologies, Inc. (U.S.), Danaher Corporation (U.S.), Eppendorf AG (Germany), Hamilton Company (U.S.), PerkinElmer, Inc. (U.S.), Tecan Group Ltd. (Switzerland), PRIMADAG SAS (France), BRAND GMBH + CO KG (Germany), Hudson Robotics (U.S.), SPT Labtech (U.K.), Thermo Fisher Scientific Inc. (U.S.), and F. Hoffmann-La Roche AG (Switzerland).

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