Top Technologies in Lab Automation Market to 2022 - Drug Discovery and Clinical Diagnostics Drives the Growth

Report analyzes lab automation market and aims at estimating the market size and future growth potential of this market based on various aspects such as equipment and software, application, end user, and region.

The lab automation market is expected to reach USD 5.20 billion by 2022 from an estimated 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.

Download Free Sample of Lab Automation Market spread across 235 Pages, Profiling 12 Companies and Supported with 279 Tables and 31 Figures is now available at https://www.reportsnreports.com/contacts/requestsample.aspx?name=252623 .

The report also includes an in-depth market trend analysis for various regions across the globe and competitive analysis of the key players in this market along with their company profiles, product offerings, recent developments, and key market strategies.

Lab Automation Market, By Application

1 Drug Discovery

2 High-Throughput Screening (HTS)

3 Compound Weighing and Dissolution

4 Compound Management

5 Other Drug Discovery Applications

6 Clinical Diagnostics

7 Pre-Analytics/Sample Preparation

8 Sample Distribution, Splitting, & Archiving

9 Genomics Solutions

Click Here For More Information on Lab Automation Market at with Top Trends and Company Profiles at https://www.prnewswire.com/in/news-releases/lab-automation-market-to-grow-at-51-cagr-to-2022-led-by-genomics-solutions-segment—reportsnreports-659523933.html .

Lab automation market is segmented into automated workstations, off-the-shelf work cells, robotic systems, automated storage and retrieval system, software, & equipment. Software segment is expected to witness highest growth during forecast period. Growth of this segment can be attributed to the rising need for efficient data storage, analysis, and sharing methods.