"Data Explosion along with Decentralized Cloud to Stimulate the Demand for Edge Computing Market"
Edge computing market surpassed the market value of US$ 3.00 Bn in 2017, with CAGR of 14.82% during the forecast period from 2018 to 2026. Essentially directed by North America, edge computing market is majorly driven by opportunities in cloud computing. Cloud research has rapidly paved the way for many competitors in fragmented market. Although the vision of offering computation in utility has achieved, the research space is still far from saturation and offers interesting opportunities. Centralized cloud computing may not be the best strategy for applications that are geographically distributed. Computing needs to perform closer to the source of the data to improve the service that output to deliver. Application of edge computing making it possible for real-time application with serious reduction in latency between an edge device and cloud. Further, the number of edge devices are growing at an immense rate, such as by 2020, more than half of the population expected to have smartphone. Consequently, volume of data that will get generate is also expected to increase with enormous rate. For instance, it is projected that over 45 Tn Gigabytes of data will be generated in 2020. This presents the potential of using edge computing that places nodes hop away in the network for complementing computations of the device or of the data center. This helps to cope with the growth of data as well as distributing traffic in a network.
Market Synopsis
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"Fog Computing Segment to Cement its Dominance in Edge Computing Market"
The Fog computing platform has broad range of applications with initial application remark in connected vehicle, smart buildings, smart grid and wireless sensor & actuator networks (WSAN) among several others. Fog computing further highlighted its vital application in augmented reality, content delivery and mobile big data analytics. Fog computing has number of unique properties, such as its close distance to application end. It is important to keep computing resources at the edge of the network to support latency-sensitive applications and services. Another interesting property is location-awareness; the geo-distributed node offers to direct its own location and track end-use devices to support mobility. In the era of big data, fog computing accounted to support edge analytics and stream mining that can process and reduce volume of data at initial stage, thus cut down delay and save bandwidth.
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"Growing Adoption of Internet of Things (IoT) Devices along with Cloud Computing Technology to Ensure Dominating Position of North America Market"
Presently, North America is the front-runner of the overall edge computing market. The U.S. with robust dependence on cloud computing across the nation primarily drives the market here. The growing number of IoT devices primarily drives the trend of edge computing in this region. Count of connected IoT devices at the end of 2020 accounted to cross the mark of 20 Bn. With increasing dependency on such connected devices demand for high bandwidth expected to surge tremendously across the region. Edge computing reduces processing time down to 169 ms from 900 ms with cloud. Similarly, with growth of end-use industry and growing adoption of cloud computing in Asia Pacific, the region projected to grow with highest growth rate across the forecast period.
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Key players of global Edge computing market include Amazon Web Services, Inc., General Electric Company, Huawei Technologies Co. Ltd., Intel Corporation, SAP SE, ADLINK Technology Inc., Vasona Networks, Inc., Aricent, Inc., Cisco Systems, Inc., Hewlett Packard Enterprise Development LP, International Business Machines Corporation, Microsoft Corporation, NOKIA Corporation, EdgeConneX, Inc., Zenlayer, Inc. and others.
Historical & Forecast Period
This research report presents the analysis of each segment from 2016 to 2026 considering 2017 as the base year for the research. Compounded Annual Growth Rate (CAGR) for each respective segments calculated for the forecast period from 2018 to 2026.
Edge computing market report provides market size and estimates based on market dynamics and key trends observed in the industry. The report provides a holistic view of global edge computing market based on technology type, deployment model, component type, application, end-use and geography. Key segments covered in the report are as follows:
ATTRIBUTE | DETAILS |
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Research Period | 2016-2026 |
Base Year | 2017 |
Forecast Period | 2018-2026 |
Historical Year | 2016 |
Unit | USD Billion |
Segmentation |
Technology Type Segment (2016–2026; US$ Bn) |
Deployment Model Segment (2016–2026; US$ Bn) |
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Component Type Segment (2016–2026; US$ Bn) |
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Application Type Segment (2016–2026; US$ Bn) |
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End-user Segment (2016–2026; US$ Bn) |
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Geography Segment (2016–2026; US$ Bn) |