Edge Computing Market Share and Growth Factors Impact Analysis 2018 - 2025

According to a recent report published by Allied Market Research, titled,"Edge Computing Market by Component, Applications, Organization Size, and Industry Vertical: Global Opportunity Analysis and Industry Forecast, 2018 - 2025,"

The global edge computing market was valued at $ 1,734.8 million in 2017 and is projected to reach $ 16,556.6 million by 2025, growing at a CAGR of 32.8% from 2018 to 2025.

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Global edge computing market trends include increase in latency problems in network and restrictions on bandwidth usage for storing the data on central cloud. In addition, increase in load on the cloud infrastructure globally and rise in number of intelligent applications are the major factors driving the growth of the edge computing market. Moreover, massive data generated by all these devices and applications thus, causes a huge burden on the cloud center. This burden further causes network congestion and latency issues while processing the data between devices and cloud, which drives the demand for edge computing. In addition, edge computing assists real-time applications in analyzing and processing collected data, which is also one of the crucial factors that drive the market demand. However, more local hardware and higher maintenance costs are expected to hinder the edge computing edge computing industry growth.

Furthermore, advent of the 5G Network, and numerous frameworks and languages for IoT solutions are the major factors expected to provide lucrative opportunities for the market growth in upcoming years. 5G network is expected to create a huge burden on physical data centers and result into higher demand for bandwidth and lower latency. Therefore, the operators will need to create more data centers, which is anticipated to be opportunistic for the market.

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Competitive Analysis:
The competitive environment of Edge Computing Industry is further examined in the report. It includes details about the key players in the market's strengths, product portfolio, Edge Computing Market share and size analysis, operational results, and market positioning. It comprises the actions taken by the players to grow and expand their presence through agreements and entering new business sectors. Mergers and acquisitions, joint ventures, and product launches are some of the other techniques used by players.

Key Players:
Amazon Web Services (AWS)
AT&T Inc.
Cisco Systems Inc.
Dell Inc.
Fujitsu Limited
Huawei Technologies Co. Ltd.
IBM Corporation
Hewlett Packard Enterprise (HPE)
Microsoft Corporation
Nokia Corporation and Many More

By Region-wise, North America dominated the overall edge computing market in 2017 and is expected to remain dominant during the forecast period, due to increasing trend of internet of things (IoT) and growth in IoT device connection in this region. Furthermore, Asia-Pacific is expected to exhibit highest growth rate throughout the forecast period. Increase in penetration of smartphones and rise in awareness among people about various Internet of Things (IoT) in this region is expected to drive the market growth in this region.

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The edge computing market in Asia-Pacific is projected to grow at a significant rate during the forecast period, owing to increase in internet penetration in countries such as India. In addition, the advent of 5G network is also expected to push the datacenter operators and enterprises to build more edge datacenters to cope with the advanced uptake of the internet of things (IoT).

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Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports Insights" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

This release was published on openPR.