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Electronic Medical Records Boot Camp
2025-06-30 - 2025-07-01    
10:30 am - 5:30 pm
The Electronic Medical Records Boot Camp is a two-day intensive boot camp of seminars and hands-on analytical sessions to provide an overview of electronic health [...]
AI in Healthcare Forum
2025-07-10 - 2025-07-11    
10:00 am - 5:00 pm
Jeff Thomas, Senior Vice President and Chief Technology Officer, shares how the migration not only saved the organization millions of dollars but also led to [...]
28th World Congress on  Nursing, Pharmacology and Healthcare
2025-07-21 - 2025-07-22    
10:00 am - 5:00 pm
To Collaborate Scientific Professionals around the World Conference Date:  July 21-22, 2025
5th World Congress on  Cardiovascular Medicine Pharmacology
2025-07-24 - 2025-07-25    
10:00 am - 5:00 pm
About Conference The 5th World Congress on Cardiovascular Medicine Pharmacology, scheduled for July 24-25, 2025 in Paris, France, invites experts, researchers, and clinicians to explore [...]
Events on 2025-06-30
Events on 2025-07-10
AI in Healthcare Forum
10 Jul 25
New York
Events on 2025-07-21
Events on 2025-07-24
Press Releases

Fog Computing Market Size Worth $934 Million by 2026

Fog Computing Market Size Worth $934 Million by 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.

Read More about Fog Computing Market https://www.polarismarketresearch.com/industry-analysis/fog-computing-market/request-for-sample

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.

Fog Computing Market Size Worth $934 Million by 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.