In a recent published report, Kenneth Research has updated the market report for FOG Computing Market for 2021 till 2030. Report further now discusses; the various strategies to be adopted or being adopted by the business players across the globe at various levels in the value chain. In the view of the global economic slowdown, we further estimated that China, India, Japan and South Korea to recover fastest amongst all the countries in the Asian market. Germany, France, Italy, Spain to take the worst hit and this hit is expected to be regain 25% by the end of 2021- Positive Growth in the economic demand and supply.
U.S. Market recovers fast; In a release on May 4th 2021, the U.S. Bureau and Economic Analsysis and U.S. Census Bureau mentions the recovery in the U.S. International trade in March 2021. Exports in the country reached $200 billion, up by $12.4 billion in Feb 2021. Following the continuous incremental trend, imports tallied at $274.5 billion, picked up by $16.4 billion in Feb 2021. However, as COVID19 still haunts the economies across the globe, year-over-year (y-o-y) avergae exports in the U.S. declined by $7.0 billion from March 2020 till March 2021 whilest imports increased by $20.7 billion during the same time. This definitely shows how the market is trying to recover back and this will have a direct impact on the Healthcare/ICT/Chemical industries, creating a huge demand for FOG Computing Market products.
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Kenneth Research, in its repository of market research reports, have recently added a report on FOG Computing Market which emphasizes on the latest trends, key opportunities, drivers, and the challenges associated with the growth of the market during the forecast period, i.e., 2021 2030. The FOG Computing Market is anticipated to grow primarily on account of the growing trade of ICT goods and services worldwide.
According to the statistics by the World Bank, the exports of ICT goods globally increased from 11.164% of total goods exports in 2017 to 11.53% of total goods exports in 2019. Additionally, exports of ICT services increased from 5.61% of service exports (BoP) in 2001 to 10.37% of service exports (BoP) in 2017. On the other hand, growing awareness amongst individuals for using the internet is also anticipated to contribute to the market growth. For instance, the total number of individuals using the internet grew from 8% of total population in 2001 to 49% of total population in 2017.
Moreover, backed by the increasing demand for high-speed internet amongst the individuals, organizations operating in the field of telecom are increasingly working on deploying 5G network technology, as this technology provides internet access at very high speeds. By 2025, it is estimated that as many as 1.2 billion of total internet connections will account to 5G. Further, one-third of the world is projected to be covered with 5G connectivity by the end of 2030.
The FOG Computing Market is estimated to record a significant growth throughout the forecast period. The ICT sector constitutes 4.8% of the European economy. Europe’s organization ERDF i.e. European Regional Development Fund has allotted approximately USD 23 billion for investments related to ICT during the funding period 2014-2020. ICT refers to the communication technologies including the internet, wireless networks, social networking, cell phones, video-conferencing, computers, software, and other media applications and services enabling users to access, retrieve, and manipulate information in a digital form.
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.
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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.
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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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