In this whitepaper, we will discuss the significant workload faced in lab automation, and explore how Hyperautomation can overcome these challenges while meeting the growing demand for innovative solutions and streamlined processes.
Digital transformation is crucial in laboratory environments for industries like Life Sciences, Medical Devices, and Pharma. These industries heavily rely on high-performance labs to introduce new products. Factors such as time-to-market, quality control, regulatory compliance, and cost optimization require a shift toward digitization and automation.
Healthcare providers need efficient and cost-effective labs to process patient specimens and produce results. Reference labs play a significant role in this regard. According to a report by Grand View Research, the global laboratory informatics market was valued at USD 3.3 billion in 2022 and is projected to grow at a rate of 4.9% from 2023 to 2030. The demand for lab automation is expected to increase in the coming years.
Laboratories including Research and Development (R&D), Biotechnology, Quality Control, Packaging, Clinical, Molecular Biology, Microbiology, Analytical Chemistry, Pharmacology, and Environmental labs have historically been heavily reliant on manual and paper-based processes. In recent years, there has been a growing recognition of the need for automation in these sectors to enhance efficiency, reduce human error, and accelerate the pace of discovery and development, ultimately benefiting the advancement of life-saving therapies, medical devices, and pharmaceutical products. Automation in these labs can lead to more precise and streamlined processes, increased data accuracy, and improved regulatory compliance, all of which are critical in these highly regulated and safety-focused industries.
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