Fog computing is a computing technology which decentralizes application and computing resources in the most efficient and effective point.

Albany, NY -- (SBWire) -- 05/16/2017 --Fog computing is a computing technology which decentralizes application and computing resources in the most efficient and effective point. Fog computing technology is also known as fog networking. Fog computing enhances efficiency and helps in reducing the size of the data which would be uploaded to the cloud for the purpose of analysis, data processing and storage.

Fog computing also helps in enhancing compliance and security for the end users. In fog computing atmosphere, most of the data processing is done over smart mobile devices and data hubs. Moreover, other devices like gateway and smart router are also used in fog computing. Due to this distributed approach fog computing is gaining popularity.

The demand for fog computing is driven by the requirement for managing enormous amount of data which is generated by the sensors. Further fog computing enable portability, the fog enables the cloud to be more conveniently positioned to act and produce on Internet of things (IoT) data.

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There are devices which are called fog nodules which could be installed at any position where there is availability of network connection. These fog nodules could be installed anywhere from factory floor, on top of power poles, in vehicles, beside railway tracks and oil rigs among others. A fog node could be any device which has storage, computing and network connectivity.

Some of the factors which is driving the fog computing includes limitation of bandwidth for IoT infrastructure, enhancement of real-time operations and requirement of analytics at the edge of networks. Non existence of standard government standard for fog computing and lack of availability of technological skills in fog computing are factors which are restraining the fog computing market growth.

Moreover, there is a lot of growth opportunity in system integrators platform providers' communication technology. This is expected to drive the market over the near future. Other factors like growth opportunity in cloud service provider are another opportunity for the growth of fog computing market.

The Fog computing market is segmented by components and by application. The market by components has been further segmented into hardware and software. The hardware segment is further segmented into servers, switches, routers, gateways and controller. Software has been further segmented into customized application software and fog computing platform.

The fog computing market by application is segmented into smart energy, building & home automation, smart manufacturing, connected health, transportation & logistics, security and emergencies systems among others. The software segment in the fog computing market segmented by component is expected to account for the largest revenue share. A lot of programs are operated on virtual machines with singular host hardware.

It is easy to enter the software market for fog computing due to multiple factors low capital requirement and availability of intellectual capital. Smart manufacturing applications in the fog computing market segmented by application are expected to grow at the fastest rate. High demand for process automation across a wide range of industry is expected to drive the smart manufacturing application segment in the fog computing market.

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The fog computing market by region has been broadly segmented into North America, Asia Pacific, Rest of the World (RoW) and Europe. North America led the global fog computing market in 2015 and is expected to dominate the market over the next few years. A lot of investment is made in the region to develop this technology. High penetration rate of the fog computing technology is driving the market in North America.

The key players operating in the fog computing market includes Microsoft Corporation (U.S), Cisco Systems, Inc. (U.S), Dell Inc. (U.S), ARM Holding Pl. (U.K.), Fujitsu (Japan), Intel Corporation (U.S) and Schneider Electric Software, LLC (Japan) among others.

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