Edge Computing Market

Edge Computing Market Size

[ 170 + Pages Research Report ]  surpass USD 62.4 billion by 2030, which is valued at USD 5.3 billion 2021 at a compound annual growth rate of 31.60

Product overview

Global Edge Computing Market is a groundbreaking approach to cloud computing systems optimization. This refers primarily to the systems that enable computational to be carried out at the edge of the network. Edge computing is responsible for aligning data collection and control mechanisms, high bandwidth storage, and end-user-related applications.  Battery life for the battery-operated IoT devices is boosted by the shorter times of open communications channels caused by an improved latency. Edge computing also enables efficient data storage, with cleaner data sets for cloud-based analysis as data collection and data processing are done at the edge of the network.

Market Highlights

This growth is anticipated due to the growing escalation of the Internet of Things and increasing concerns for security in public places. The IoT phenomenon is expected to expand with the organization's digital transformation initiatives in the coming years. The exponential growth and growing use of IoT in companies would lead fuel the edge computing industry. As IoT has increased in several high-computing linked mobile devices, companies have gained access to and stored large volumes of data in the repository.

Edge Computing Market: Segments

The hardware segment dominated the global edge computing market.

Global Edge Computing Market is segmented by component into Hardware, Software, Services, and Edge-managed Platforms. Increasing cloud-based applications, in which the server plays a crucial role and functions as the non-visible computer base for the services on which users are dependent, provide the highest percentage.

Energy and utilities accounted for 31.60% of the global volume

Global Edge Computing Market is segmented by industry vertical: Healthcare, agriculture, and energy and utilities The growing need to close the gap between theoretical performance and the actual production of grid systems promotes the adoption of edge computing practices by grid producers. Therefore, a large number of data generated from power stations distributed need to be processed and analyzed at a faster pace to enable successful decision-making based on data. Many of the driving forces that help the industry expand include the use of intelligent functionalities such as automatic metering (AMR), distributed generators remote control, grid automation, and real-time power analysis.

Market Dynamics 

Drivers

The growing espousal of IoT

The emergence of IoT led to a substantial increase in data, as businesses rely more and more on centralized cloud computing and storage solutions. The movement of the entire IT industry to the cloud poses economic feasibility issues. Therefore,  these companies are continuously searching for edge computing resources including edge nodes, instruments, and hyper-located data centers, using IoT sensors, actuators, and other IoT tools.

The advent of autonomous vehicles

Edge computing in autonomous motor cars can make it possible to use the collected data better and more accurately, enabling edge computers to offload non-critical data in the edge data centers and to preserve essential data within the vehicle. In addition, edge computing can help achieve situational awareness within a space of time combined with Artificial intelligence (AI ) and machine learning (ML) by providing local processing power to facilitate the processing of large quantities of data produced by autonomous automobiles.

Restraints

Initial investment

In using digital technologies to effectively simplify and accelerate business processes companies are moving rapidly towards digitization. The initial investment in edge computing is still a major load on the capital expenditure of the company. For businesses that are pursuing comprehensive edge computing solutions, investments in cutting-edge nodes, other edge tools, and edge data centers are significant. They would also have to invest more in ensuring the protection of devices and the whole network. As a result, multiple service suppliers are reluctant to switch to the edge only because of low latency processing.

Global Edge Computing Market: Regions

North America was the largest market accounting for 42% of the total market volume share in 2019 

The global Edge Computing market is further segmented by region into: 

• North America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – the United States and Canada
• Latin America Market Size, Share, Trends, Opportunities, Y-o-Y  Growth, CAGR – Mexico, Argentina, Brazil, and Rest of Latin America
• Europe Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – United Kingdom, France, Germany, Italy, Spain, Belgium  Hungary, Luxembourg, Netherlands, Poland, NORDIC, Russia, Turkey, and Rest of Europe
• APAC Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – India, China, South Korea, Japan, Malaysia, Indonesia, New Zealand, Australia, and the Rest of APAC
• MENA Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – North Africa, Israel, GCC, South Africa 

Global Edge Computing Market: Key Players

•  Cisco (US)

Company Overview, Business Strategy, Key Product Offerings, Financial Performance Key Performance Indicators, Risk Analysis, Recent Development, Regional Presence, SWOT Analysis

• Huawei (China)
• Dell Technologies (US)
• Litmus Automation (US)
• SixSq (Switzerland)
• Saguna Networks (Israel)
• ADLINK (Taiwan)
• Axellio (US)
• HPE (US)
• IBM (US)
• Other prominent players

The global Edge Computing market report also contains an analysis on:

Edge Computing Market Segments:

• By Component 
  • Hardware
  • Software Services
  • Edge-managed Platforms
• By Industry Vertical        
  • Healthcare
  •  Agriculture
  • Energy and utilities
• Edge Computing  Market Dynamics
• Edge Computing  Market Size
• Supply & Demand
• Current Trends/Issues/Challenges
• Competition & Companies Involved in the Market
• Value Chain of the Market
• Market Drivers and Restraints

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