(EMAILWIRE.COM, November 20, 2018 ) [235 Pages Report] Lab automation is defined as the use of technology to streamline or substitute manual manipulation of equipment and processes. The degree of automation that any lab requires depends on its workflow. While an academic research lab may prefer to use only some instruments in order to increase productivity and reduce the time spent on a tedious task, a drug discovery unit in a pharmaceutical company will perhaps need to automate all of its research phases.

The global lab automation market is expected to reach USD 5.20 Billion by 2022 from USD 4.06 Billion in 2017, at a CAGR of 5.1%. Factors such as process miniaturization, high demand for lab automation equipment in drug discovery and clinical diagnostics, higher reproducibility and accuracy, and large workforce demand and supply gap are likely to drive the growth of this market. In addition, lab automation offers enhanced productivity and reduced costs, better personnel safety, and small volumes of samples and reagents.

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The automated workstations segment to account for the largest market share in 2017

Based on equipment and software, the market is segmented into automated workstations, off-the-shelf workcells, robotic systems, automated storage and retrieval system, software, and other equipment. In 2017, the automated workstations segment is expected to account for the largest share of the lab automation market. The high demand for automation in liquid handling is the key factor driving market growth in this segment. Automated workstations offer advantages such as enhanced accuracy, and reduced time and cost.

The genomics solutions segment to grow at the highest CAGR

Based on applications, the lab automation market is segmented into drug discovery, clinical diagnostics, genomics solutions, proteomics solutions, microbiology, and other applications. The genomics solutions segment is expected to grow at the highest CAGR during the forecast period. The use of automation is on the rise in genomics for high-throughput requirements, providing greater reproducibility and throughput as compared to manual methods.

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