Market Revenue Fog Computing Market Formulation and Validation

Fog Computing Market Formulation and Validation, Estimation,
Scope Till 2025
“Fog Computing Market size was estimated at USD 9.33 million in 2016 and is
anticipated to reach USD 617.3 million by 2025.Fog networking supports the
Internet of Everything concept wherein most of devices of daily-use will be
interconnected with each other, with phones, connected vehicles.”
The global Fog Computing Market size was estimated at USD 9.33 million in 2016 and is anticipated to reach
USD 617.3 million by 2025. Fog computing, also termed as “edge computing” or “fogging” in association with
cloud emphasis helps in faster decision-making strictly with computations on cognizable data by deployment of
fog nodes close to Internet of Things (IoT) aided devices, placed anywhere in the network trajectory either on a
factory floor, top of a power pole or an oil rig, subject having connectivity, computational and storage
imperatives.
The primary drivers for fog computing market are inundation of IoT devices with parallel IoT connectivity,
subsequent growth in cloud computing market size and Machine to machine (M-M) connectivity. The factors
driving the fog computing market size include computational power speed, increased operational efficiency and
cost savings across all verticals in the industry. By type, the fog computing market size spans hardware and
software. Software further disintegrates into fog computing platform and customized application software. By
Application, the fog computing market size comprises building and home automation, smart energy, smart
manufacturing, transport and logistics, connected health, security and emergencies and others-smart
environment and smart retail. By geography, the market size extends to North America, Europe, Asia Pacific,
MEA and Latin America. The increased dominance of the Fog Computing Market by Software is underscored by
presence of majority of the players in cloud and IoT ecosystem and would benefit by leveraging the system
architecture at platform and applications hierarchy.
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