Fog Computing Market Analysis and Value Forecast Snapshot by End-Use Industry 2017-2027

The objective of fog computing is to improve efficiency and the amount of data transferred to the cloud for processing, analysis and storage. This is most commonly done to improve efficiency, but it may also be used for security and compliance reasons. Popular fog computing applications include: smart city, smart grid, smart buildings, software- defined networks and vehicle networks.

The key difference between fog computing and edge computing is where the intelligence and compute power is placed. In a fog environment, intelligence is placed at the local area network. Data is transmitted from endpoints to a gateway where it is then transmitted to sources for processing and return transmission. Whereas, in edge computing, intelligence and power of the edge gateway or appliance are in devices such as programmable automation controllers.

Usually cloud computing is not a viable option for internet of things (IoT), in such cases fog computing is used. Fog Computing’s distributed approach attends to the needs of IoT and industrial IoT, as well as the immense amount of data smart sensors and IoT devices generate, which would be costly and time-consuming to send to the cloud for processing and analysis. Fog computing reduces the bandwidth needed and reduces the back-and-forth communication between sensors and the cloud, which turns out to be beneficial to IoT performance.

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Fog Computing Market: Drivers and Challenges

Fog computing market has recently gained importance due to increasing adoption of internet of things worldwide, increasing demand for computing capability at the edge, mainstreaming of cloud computing and high adoption of smart sensors that will create huge amount of data. The growing government and private funding across the globe for research and development in IoT, cloud and fog, and scope for innovative cross-domain applications provide significant...