[126 Pages Report] The fog computing market is expected to grow from USD 22.28 Million in 2017 to reach USD 203.48 Million by 2022, at a CAGR of 55.6% during the forecast period. The adoption of fog computing technology is expected to grow in proportion with the growth of connected devices and cloud infrastructure. Major drivers for the growth of fog computing are bandwidth limitations and low latency of existing IoT infrastructure, growing need of real-time applications, increased awareness of data security, and need for performing analytics at the edge of the network. The forecast period for the market is considered between 2017 and 2022.

The need for real-time computing is the motivation behind the need for fog computing.

Fog computing is a paradigm that extends cloud computing to the edge of the network. The evolution of IoT and the huge amount of data that it generates has created the problem of high internet traffic, which further increases the problem of latency that the world is facing. Fog computing is a technology that can help in overcoming all these problems by bringing the power of computing at the edge of the network.

Concurrent IoT infrastructure is not capable of handling critical, real-time, and heavy applications because of bandwidth limitations and low latency requirement of such applications. Therefore, it has become imperative to introduce an additional computational network layer between cloud and edge devices. This layer is the fog computing layer. It comprises fog nodes and fog computing platform. Fog nodes are the generic networking devices such as routers, switches, controller, gateways, and servers. In other words, any device with computation, storage, and networking capability can be a fog node. Fog software comprises two stages: the platform enables the generic design of computational parameters and processes and the customized service software enables application-specific design of fog nodes.

The smart manufacturing application would hold the largest share of the market followed by smart energy. A number of sensors are used for different functions in factories or manufacturing units, which generate huge amounts of data per hour that needs to be transferred to the cloud for computing. This transfer of data back and forth takes time and is not ideal for functions that require real-time processing of data for critical decision making. Fog computing is a solution to these problems as fog brings the power of computing at the edge of the network, thus helping to solve the problem in real time. This would help manufacturing companies in better decision making with real-time data, which would also help in reducing the operating cost.

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The major players engaged in the development of fog computing are Cisco Systems, Inc. (U.S.), Microsoft Corporation (U.S.), ARM Holding Plc. (U.K.), Dell Inc. (U.S.), Intel Corporation (U.S.), Fujitsu (Japan), GE Digital (U.S.), Nebbilo Technologies (U.S.), Schneider Electric Software, LLC (Japan), Toshiba Corporation (Japan), and PrismTech Corporation (U.S.).

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