PUBLISHER: Grand View Research | PRODUCT CODE: 1726305
PUBLISHER: Grand View Research | PRODUCT CODE: 1726305
The global automated NGS library preparation market size is anticipated to reach USD 1,453.8 million by 2030 and is projected to grow at a CAGR of 13.34% from 2025 to 2030, according to a new report by Grand View Research, Inc. The increasing demand for high-throughput sequencing and the need for efficient and reproducible sample preparation is driving the growth of automated NGS library preparation technologies. These advancements enhance workflow efficiency, minimize human errors, and provide scalability for various genomic applications, including clinical diagnostics, oncology research, and drug discovery.
The COVID-19 pandemic further accelerated the adoption of automated NGS library preparation solutions as laboratories worldwide sought streamlined and scalable sequencing workflows. The surge in genomic surveillance and infectious disease research during the pandemic emphasized the need for automation of sample preparation. Moreover, collaborations between research institutions, biotechnology companies, and healthcare providers led to significant technological advancements, boosting the market's expansion.
In addition, the rising availability of automated NGS library preparation services has further fueled market growth. Contract research organizations (CROs) and Contract Manufacturing Organizations (CMOs) are essential in supporting the development and commercialization of sequencing-based applications. These service providers offer expertise in clinical trials, regulatory compliance, and scalable manufacturing, facilitating faster and more cost-effective deployment of automated NGS solutions. Automation is becoming increasingly essential as the demand for NGS expands across various fields.
However, integrating automation into NGS library preparation workflows can be complex, involving challenges like equipment compatibility, software integration, and protocol adaptation. It also requires training personnel to manage and maintain advanced systems. Despite these hurdles, successful implementation offers substantial benefits, including enhanced scalability, minimized errors, and increased throughput-positioning automation as a strategic investment for laboratories aiming to stay competitive in the fast-evolving genomics space.