The Worldwide Edge Computing Market is expected to grow at a CAGR of 40.10% from 2022 to 2030, reaching USD 157.10 Billion by 2030.
Edge computing helps improve cloud computing systems by processing data at the network’s edge closer to the data source. Widespread use and acceptance of IoT drives cloud-based overload, a crucial factor driving the edge computing market. Transferring large amounts of data puts a significant strain on the network. Edge computing inspects all data at the edge at the source, analyzes it, and communicates only the information that matters, rather than broadcasting data frequently over the network.
Edge computing architecture builds on existing open-source technologies and security. Many telecom service providers are adopting edge computing to modernize their networks. Therefore, the global edge computing market is expected to grow at a moderate pace during the forecast period.
Edge computing is a transformative paradigm that brings processing power and data storage closer to the source of data generation, enabling real-time analysis and low-latency response. This distributed computing approach utilizes edge networks, including edge clouds, to efficiently process and manage data at the edge of the network. Fog computing, mobile edge computing, and multi-access edge computing (MEC) are integral components of this ecosystem, extending edge processing capabilities. With IoT edge computing, devices at the edge of the network seamlessly integrate with cloud services, enabling efficient data processing and analysis. Overall, edge cloud computing and its associated technologies offer immense potential for enhancing modern computing systems' scalability, efficiency, and responsiveness.
Market Dynamics:
Drivers:
The main reason for the increase in usage of Edge Computing Market is the recent high influence of IoT. The growing use of cloud computing and storage solutions further fuels edge computing. Operations and processing with Edge Computing can speed up decision-making close to the data source. Even Purdue University is using IoT sensors to speed up plant growth and improve food production processes.
Restraints:
The primary reason restraining the growth of the edge computing market growth is the cost of edge infrastructure. As in recent years, the growth of edge computing has been slow, and people are interested and want to try edge computing. However, the only stumbling block in the minds of customers is cost. Advances in technology have increased their cost, making them unavailable at low cost.
Key players:
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Cisco(US),
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HPE(US),
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Huawei(China),
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IBM(US),
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Dell Technologies(US),
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Nokia(Finland),
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Litmus Automation(US),
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AWS(US),
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Foghorn(US),
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Microsoft(US),
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VMWare(US),
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SixSq(Switzerland),
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EdgeIQ(US),
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Saguna(Isreal)
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and Vapour IO(US)
Market Segmentation:
Edge Computing Market, By Components:
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Hardware
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Software
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Services
Edge Computing Market, By Application:
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Smart Cities
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Industrial Internet of Things (IIoT)
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Remote Monitoring
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Content Delivery
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Augmented Reality (AR) and Virtual Reality (VR)
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Others (autonomous vehicles, drones, and gaming)
Edge Computing Market, By Organization Size:
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Large Enterprises
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SMEs
Edge Computing Market, By Verticals:
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Manufacturing
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Energy and Utilities
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Government and Defense
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Telecommunications
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Media and Entertainment
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Retail and Consumer Goods
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Transportation and Logistics
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Healthcare and Life Sciences
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Others (BFSI and Education)
Edge Computing Market, By Regions:
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North America
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US
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Canada
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Europe
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UK
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Germany
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France
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Rest of Europe
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APAC
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China
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Japan
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Australia
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Rest of APAC
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Middle East
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UAE
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Saudi Arabia
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South Africa
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Rest of MEA
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Latin America
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Brazil
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Mexico
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Rest of Latin America
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Regional Analysis:
In terms of revenue, North America is projected to hold a prominent share of the global market by the end of 2022. The convergence of IIoT and edge computing is creating ideal conditions for US companies to transition to link manufacturing. Several companies are beginning to provide platforms for building edge-ready solutions. Telus Communications and MobiledgeX, Inc. have teamed up to create the MobiledgeX Early Access Program. This initiative enables developers to create, test, and evaluate the usability of edge-ready apps in low-latency environments.
The growing use of connected devices such as smartphones, tablets and iPads is driving the demand for edge computing solutions in North America. Key players in the region are focusing on launching edge computing solutions to gain a competitive edge in the market. In May 2020, IBM Corporation and Red Hat, Inc. launched new edge computing solutions, such as IBM Edge Application Manager and IBM Telco Network Cloud Manager, for various organizations in the 5G era. These solutions help businesses accelerate their transition to edge computing.
The Asia Pacific region is likely to see robust market growth, driven by prominent industry players such as ADLINK Technology Inc., Huawei Technologies Co., Ltd., and Samsung. These key players focus on new product development to expand their product range.
Scope of the Report:
Report Coverage |
Details |
Page number |
220 |
Base year |
2021 |
Forecast period |
2022-2030 |
Growth momentum & CAGR |
Accelerate at a CAGR of 40.10% |
Market growth 2022-2030 |
USD 157.10 Million |
Market structure |
Fragmented |
Competitive landscape |
Leading companies, competitive strategies, consumer |
Companies profiled |
|
User
Tab Content
Introduction
Our market research is an extensive, iterative process that takes into account a combination of primary and secondary research tools with the aim of minimizing deviation and producing the most precise estimate and prediction. For the future course of action, this approach meticulously outlines the actual changes and industry trends. It gives incredibly valuable data that is drawn from the insights and opinions of analysts and professionals. Our papers include in-depth research and analysis based on several factual inputs obtained from expert interviews, accurate data, and local information.
Market Size Estimation
The overall size of the market has been estimated and validated using both top-down and bottom-up methods. The sizes of other market subsegments have also been thoroughly estimated using these methodologies.
In the top-down technique, the market is divided into segments based on the percentage share of each segment. This method assisted in determining the size of each segment's market. The market size of each segment and its sub-segments was then divided into regional market sizes. This Approach helps mainly with the new Product Launch. It uses Multi-variate Regression Model coupled with Vendor based primary research inputs to forecast to the Market Size.
In the Bottom-Up approach, comprehensive study of key players has to be done wherein we add the market size of the major key players to understand the national market size which helps to determine the regional market size and eventually the complete market size. Companies annual report along with data from paid and unpaid resources like reports from government agencies and organizations like world bank provide the data for this approach.
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