Edge Computing Market Overview:
Edge computing is a revolutionary method to optimize cloud computing systems. It primarily refers to the technologies enabling computation to be performed at the edge of the network. These services are performed on downstream data on behalf of cloud services and upstream data on behalf of IoT services. Edge computing is responsible for aligning data acquisition and control functions, storage of high bandwidth content, and applications closer to the end user. Edge sites are located as close as possible to the end-users such as a logical endpoint of a network as part of a more extensive cloud computing architecture. However, the position of the edge for IoT may change according to the service required by the end-users.
The services that require low latency will have a different edge than those services requiring less urgent data processing. Edge Computing Marketcan solve latency challenges and enable enterprises to take better advantage of opportunities leveraging a cloud computing architecture. Edge computing offers shorter period of open communication channels due to improved latency allowing longer battery life for battery-powered IoT devices. Edge computing also facilitates efficient data management as data processing and data filtering can be performed at the edge of the network, presenting cleaner data sets for cloud-based data analytics.
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Major Key Players:
MRFR recognizes the key players in the global edge computing market as Amazon, Inc., General Electric Company, Microsoft Corporation, Intel Corporation, SAP SE, Alphabet Inc., Schneider Electric SE, IBM Corporation, Huawei Technologies Co. Ltd., Integrated Device Technology, Inc., ADLINK Technology Inc., eInfochips, EdgeConnex Inc., The Hewlett Packard Enterprise Company, Fujitsu Ltd, Siemens AG, ZenLayer Inc., Yokogawa Electric Corporation, Rittal GmbH & Co. KG, ABB Ltd, and Advanced Micro Devices, Inc.
June 2019: Leading Chinese manufacturer as well as supplier of smart edge devices, Dusun Electron Ltd., has introduced its programmable, open source edge computing loT hubs/gateways. APIs and SDKs are offered that can be utilized to allow customers to make their programs for controlling the transfer procedure and data processing.
MRFR’s report offers a detailed segmental analysis of the market based on technology, deployment, component, end-user, applications, and region. By technology, the market is segmented into mobile edge computing, fog computing. Fog computing is expected to hold the largest market share during the forecast period. By deployment, the market is segmented into on-premises and on-cloud.
Global Market For Edge Computing is estimated to reach USD 22,453.9 million by 2024, registeringa 28.4% CAGR during the forecast period of 2018 to 2024.
Based on the region, the edge computing market report covers growth opportunities and the latest trends across the Asia Pacific, Europe, North America, and Rest of the World. Of these, North America will spearhead the market over the forecast period. This is owing to the higher adoption of various technologies in this region.
The edge computing market in the APAC region is predicted to grow at the fastest pace over the forecast period. This is owing to the robust development in media, telecommunication, gaming, and automotive industries.
Table of Contents
1. Executive Summary
2.2 Scope of The Study
2.3 List of Assumptions
2.4 Market Structure
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List of Table
Table 1 Market Synopsis
Table 2 List of Assumptions
Table 3 Global Edge Computing Market, By Technology, 2018–2023 (Usd Million)
Table 4 Global Edge Computing Market, By Deployment, 2018–2023 (Usd Million)
Table 5 Global Edge Computing Market, By Component, 2018–2023 (Usd Million)
List of Figure
Figure 1 Global Edge Computing Market: Market Structure
Figure 2 North America Market Size & Market Share by Country (2017 Vs 2023)
Figure 3 Europe Market Size & Market Share by Country (2017 Vs 2023)
Figure 4 Asia Pacific & Market Share by Country (2017 Vs 2023)
Figure 5 Rest of The World Market Size & Market Share by Country (2017 Vs 2023)
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