Fog Computing Market Strategies and Forecasts, 2020 to 2026
                     Fog Computing Market
Set to Exceed USD 934 million by 2026 | CAGR 62.6%
“Fog Computing Market [By Hardware (Routers/Gateways, 
Switches, Controllers, Sensors, Others); By Software (Fog 
Computing Platforms, Custom Application Software); By 
Service (Professional Service, Traininng Service); By 
Application (Smart Homes/Smart Cities, Smart Energy, 
Smart Manufacturing, Connected Healthcare, Smart 
Transport, Others) By Regions]: Market Size & Forecast, 
2017 – 2026”
Fog Computing Market Estimate & Forecast to 2026
According to a new study published by Polaris Market Research the global fog computing 
market is anticipated to reach USD 934 million by 2026. Fog computing helps in enhancing 
the efficiency as well as data computing competencies for cloud computing. The major use 
of fog computing is to enhance efficiency however, the use of fog computing can also be 
done for security and compliance reasons. Fog computing is used in several applications 
including, smart city, smart buildings, smart grid, vehicle networks and software- defined 
networks.
On the basis of components, the market is segmented into hardware and software. The 
software market is growing at a highest CAGR and has accounted for the largest share 
attributed to low cost, increasing functionality, as well as advancements in features & 
designs. Furthermore, the constantly decreasing costs of sensors, storage devices, and 
semiconductor devices is one of the factor which is fueling the market growth of hardware in 
fog computing. Another factor responsible for the market growth of fog computing is the 
developments in network technology resulting in reduction of OPEX across business 
organizations.
Currently, the market for fog computing is dominated by North America with countries 
including, US and Canada taking initiatives to promote the adoption of IoT in the region. 
Also, Europe is the second Colapyrighte © sPotl armis Markrekt Reetse aarchf t&e Corn suNltinog rLLtPh 2 01A8. mAll Reigrhitsc Raes,e rvwedhich is also experiencing 2
growth in the adopting of fog computing and IoT. However, APAC is expected to witness high 
growth during the forecast period attributed to the increasing awareness of fog computing in 
these regions. .
Fog Computing Market Scope
By Hardware  By  Software By Service By Application By Region Report Attributes
 Routers/Gateways  Fog Computing  Professional  Smart Homes/Smart  North America  Historic year: 2015-
 Switches Platforms Service Cities  Europe 2016
 Controllers  Custom Application  Training Service  Smart Energy  Asia Pacific  Base year: 2017
 Sensors Software  Smart Manufacturing  Latin America Middle  Forecast Year: 2018-
 Others  Connected East & Africa 2026
Healthcare  Revenue ((USD 
 Smart Transport Million)
 Others
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Fog Computing Market Estimate & Forecast to 2026
Major companies profiled in the report include Cradlepoint, Inc., PrismTech, FogHorn 
Systems, Cisco Systems, Inc., Crosser Technologies, Nebbiolo Technologies, Microsoft 
Corporation, Intel Corporation, Fujitsu, Arm Holding Plc., and ADLINK Technology Inc.
Key Findings from the study suggest North America is expected to command the market 
over the forecast years. APAC is presumed to be the fastest growing market, with highest 
CAGRover the forecast period. The fog computing market is presumed to develop at a CAGR 
of over 62.6% from 2018 to 2026. The fog computing technology is used in applications 
such as building & automation, smart energy, transportation & logistics, smart 
manufacturing, connected health, and others. Among the application segment, smart 
manufacturing is expected to hold the largest share. This is due to the several number of 
sensors required for varied functions in manufacturing facilities, that generates enormous 
amount data. Fog computing helps manufacturing companies to reduce operating cost by 
making use of real-time data to take efficient decisions.
                                                                       
                                                                   
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