Internet of Things in Warehouse Management Market to be Driven by Rising Preference for Goods-to-Person (GTP) Technology Across Warehouses Till 2025 | Million Insights

FELTON, California, May 27, 2020 /PRNewswire/ -- The global Internet of Things in Warehouse Management Market size is projected to touch USD 19.06 billion by the end of 2025, as per the report released by Million Insights. Factors such as increasing preference for Goods-to Person (GTP) technology across warehouses and growing automation of warehouse operations are predicted to bode well for the market growth over the forecast duration.Telematics plays a crucial role in developing advanced solutions for the floor level workforce. The rising application of fleet management by various transport operators is anticipated to drive the demand for telematics in the upcoming years. The penetration of telematics systems is projected to support companies in lowering their empty runs and fuel cost.IoT gateways offer secured channels for data transmission. They act as platforms for applications that process data. IoT also performs several other functions such as data filtering, device connectivity, protocol translation, updating, and security. The shifting preference for cloud-based platforms is projected to augment the product demand from 2016 to 2025.Please click here to get the sample pdf and find more details on "Internet of Things (IoT) in Warehouse Management Market" Report 2025.The EDI solution is anticipated to showcase steady growth in the upcoming years, owing to the rising need for data accuracy and consistency from the customers. The incorporation of the EDI is predicted to lower human errors and offer real-time information to consumers. The increasing penetration of smartphones equipped with sensors is projected to further drive the product demand over the estimated period. On the other hand, the use of a workforce management solution is expected to reduce the overall labor cost. The functions of workforce management solutions are workforce forecast and picking optimization.
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