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(Wireless-NewsWire.Com, July 09, 2018 ) According to a new market research report “IoT in Manufacturing Market by Solution (Network Management, Data Management, Device Management, Application Management, Smart Surveillance), Platform, Service (Professional and Managed), Application, Vertical Market, and Region - Global Forecast to 2022", The IoT in manufacturing market size is projected to grow from USD 12.67 Billion in 2017 to USD 45.30 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 29.0% during the forecast period of 2017–2022. Major forces driving IoT in manufacturing market are the growing need for centralized monitoring and predictive maintenance of manufacturing infrastructure. The increasing need for agile production, operational efficiency, and control, and demand-driven supply chain and connected logistics are also expected to drive the market.
Browse 91 market data Tables and 52 Figures spread through 179 Pages and in-depth TOC on "IoT in Manufacturing Market"
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IoT consulting service is the fastest growing professional service in the IoT in manufacturing market during the forecast period
Consulting and advisory services play a significant role in achieving the zero trust security model through IoT in manufacturing. They provide strategic insights for the operational, organizational, and technological transformation to various verticals depending upon their requirements. Moreover, these services offer an innovative service-layer framework to help establish a next generation security architecture. They help organizations in planning and identifying technical aspects of IoT in manufacturing implmentation, thereby achieve the improved agility, security, and compliance.
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Data management segment is expected to hold the largest market share in the IoT in Manufacturing market during the forecast period
Data management is the most important solution in the IoT segment, as IoT devices produce large volumes of data. It poses a challenge for the providers to deal with efficiently. As devices and sensors integrate which results in large data volumes, legacy data management infrastructure and techniques will no longer be sufficient to fully influence IoT. These organizations embed data management into the devices and sensors generating data to facilitate a smooth and steady stream of information in manufacturing operation, thereby boosting the effeciency of manuafacturing operations
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