New York City, 14 January 2019: The Report "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." The global fog computing market is anticipated to
reach USD 934 million by 2026 according to a new research report.
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.
Browse Research Report On Fog Computing Market Analysis:
Fog Computing Market By Region, 2017 - 2026
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.
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 largest market after North America, which is also experiencing
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.
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.
Access Press Release of Research Report By Polaris Market Research:
https://www.polarismarketresearch.com/press-releases/fog-computing-market
Access Press Release of Research Report By Polaris Market Research:
https://www.polarismarketresearch.com/press-releases/fog-computing-market
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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