Lab Automation Market is Projected To Reach US$8.71 Billion By 2031 at CAGR of 6.3% | The Insight Partners

NEW YORK, Sept. 22, 2025 /PRNewswire/ -- According to a new comprehensive report from The Insight Partners, the global lab automation market is observing significant growth due to technological advancements, regulatory & quality compliance, and demand for efficiency & throughput.

The report runs an in-depth analysis of market trends, key players, and future opportunities. The lab automation market generally comprises a vast array of types, equipment, applications, end users, and geography, which are expected to register strength in the coming years.

Check valuable insights in the Lab Automation Market report. You can easily get a sample PDF of the report - https://www.theinsightpartners.com/sample/TIPHE100001249/

Overview of Report Findings

1.      Market Dynamics and Insights: Laboratories are under pressure to improve operational efficiency while remaining agile in the face of evolving scientific needs, shifting research priorities, and budgetary constraints. Traditional automation systems, which were rigid and monolithic, limited labs' ability to adapt quickly or expand capabilities incrementally.

In contrast, the new generation of modular automation platforms offers a flexible, building-block approach, allowing laboratories to start small and scale up as demand increases or workflows evolve. This shift reduces the initial capital expenditure and lowers integration complexity, making automation more accessible to facilities, including mid-sized labs, academic research centers, and clinical testing environments.

By integrating seamlessly with legacy infrastructure and advanced digital tools, these systems enable labs to future-proof their operations and improve return on investment over time. Integrated and scalable systems are central to transforming labs into smart, connected environments. These platforms work cohesively with LIMS, ELNs, and data analytics software, enabling end-to-end automation and real-time decision-making. With increasing emphasis on personalized medicine, high-throughput screening, and data-intensive workflows, labs must be equipped to handle complex processes efficiently and with minimal downtime.