Presence of a number of product manufacturers and suppliers has rendered the vendor landscape of the global automated sample storage systems market largely fragmented and competitive, observes Transparency Market Research in a recent report. The market was dominated by Brooks Automation, Inc. in 2016 owing to the company’s expansive product portfolio, strong geographical outreach, and vast investment in research and development activities. Some of the other leading companies in the market are Angelantoni Life Science, Thermo Fisher Scientific, Inc., TTP LabTech, LiCONiC AG, Biotron Healthcare, ASKION, Haier BioMedical (Haier Group), Panasonic Healthcare Co., Ltd., and Tsubakimoto Chain Co.
According to the report, the global market for automated sample storage will exhibit an impressive 15.5% CAGR over the period between 2017 and 2025. The market, valuing at US$617 mn in 2017, is estimated to rise to a revenue opportunity of US$1,950 mn by 2025.Of the key application areas served by the automated sample storage systems market covered by the report, the segment of pharmaceuticals accounted for the dominant share in the overall market in 2017. From a geographical standpoint, the market in Europe dominated, valuing at US$209.3 mn of the global market in 2017. The Europe market for automated sample storage is anticipated to retain its dominant position over the forecast period as well, trailed by the markets in North America and Asia Pacific.
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Increased Support of Governments to Biobanks to Drive Market
The steady expansion of the global pharmaceuticals sector in the past few years has significantly helped the global automated sample storage market pick pace. Demand from the sector accounts for a large share in the revenue of the overall market and an increasing number of pharma companies are shifting to automated solutions so as to boost their throughput and bring down the number of errors that are incurred due to manual handling of critical samples. This scenario is likely to remain one of the key drivers of the market over the report’s forecast period as well.