Edge Computing Market By Deployment Model (On-premise, Cloud Deployment), By Technology Type (Mobile Edge Computing, Fog Computing), By Component (Hardware, Software, Services), By Application (Internet Of Things (IoT), Advanced Analytics, Data Monitoring, Data Caching), By End-use (Industrial, Healthcare, Automotive, Surveillance, Retail, Utilities, Others) - Growth, Future Prospects And Competitive Landscape, 2018 – 2026

Data Expansion and Decentralized Cloud to Drive Demand for Edge Computing Market

The edge computing market surpassed the market value of US$ 3.00 billion in 2017, with a CAGR of 14.82% from 2018 to 2026. Essentially directed by North America, the edge computing market is primarily driven by opportunities in cloud computing. Cloud research has rapidly paved the way for many competitors in a fragmented market. Although the vision of offering computation as a utility has been realized, the research space is still far from saturated 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 it delivers. Edge computing allows for real-time applications with significantly reduced latency between an edge device and the cloud.

Further, the number of edge devices is growing at an immense rate, such that by 2020, more than half of the population is expected to have a smartphone. Consequently, the volume of data that will be generated is also expected to increase at an enormous rate. For instance, it is projected that over 45 trillion gigabytes of data will be generated in 2020. This presents the potential of using "edge computing," which places nodes a hop away in the network for complementing computations of the device or of the data center. This helps with the growth of data as well as distributing traffic in a network.

Market Synopsis

Fog Computing Segment to Cement its Dominance in the Edge Computing Market

The Fog computing platform has a broad range of applications, with initial emphasis on connected vehicles, smart buildings, smart grids, and wireless sensor and actuator networks (WSAN), among several others. Fog computing further highlighted its vital applications in augmented reality, content delivery, and mobile big data analytics. Fog computing has a number of unique properties, such as its close distance to the 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-user devices to support mobility. In the era of big data, fog computing accounted for supporting edge analytics and stream mining that can process and reduce the volume of data at the initial stage, thus cutting down on delay and saving bandwidth.

Increased Adoption of Internet of Things (IoT) Devices and Cloud Computing Technology to Maintain Dominance in the North American Market

Presently, North America is the front-runner in the overall edge computing market. The U.S., with its 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. The number of connected IoT devices is expected to exceed 20 billion by the end of 2020. With increasing dependency on such connected devices, demand for high bandwidth is expected to surge tremendously across the region. Edge computing reduces processing time to 169 ms from 900 ms with the cloud. Similarly, with the growth of end-use industries and the growing adoption of cloud computing in the Asia Pacific, the region is projected to grow at the highest rate across the forecast period.

Key players in the 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.

Periods of History and Forecast

This research report presents the analysis of each segment from 2016 to 2026, considering 2017 as the base year for the research. The compound annual growth rate (CAGR) for each of the respective segments was calculated for the forecast period from 2018 to 2026.

Report Scope by Segments

The 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 the global edge computing market based on technology type, deployment model, component type, application, end-user, and geography. Key segments covered in the report are as follows:

Key questions are answered in this report.

  • What was the market size of edge computing in 2017, and what is the forecast up to 2026?
  • Which is the largest regional market for edge computing?
  • What are the key market trends observed in the edge computing market?
  • Which are the most promising technology types, deployment models, component types, applications, and end uses in the edge computing market?
  • Who are the key players leading the market?
  • What are the key strategies adopted by the leading players in the market?
  • What are the key end-use industry trends across different geographies and sub-geographies?

Frequently Asked Questions:

The market for Edge Computing Market is expected to reach US$ 3.00 Bn in 2026.

The Edge Computing Market is expected to see significant CAGR growth over the coming years, at 14.82%.

The report is forecasted to 2018-2026.

The base year of this report is 2017.

Amazon Web Services Inc.,General Electric Company,Huawei Technologies Co., Ltd.,Intel Corporation, SAP SE are some of the major players in the global market.

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Published Date:  Mar 2019
Category:  Cloud Computing
Report ID:   59606
Report Format:   PDF
Pages:   120
Rating:    4.1 (66)
Delivery Time: 24 Hours to 48 Hours   
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