Edge Computing Market Size | Trends Analysis, 2030

Edge computing market size is anticipated to reach USD 168.59 billion between 2020 and 2030, growing at an astounding 24.51% CAGR.

Market Overview

Edge Computing Market refers to the series of events where computer processing is done in a very minimal amount of data source rather than a large one. This is majorly done to reduce the screen time such that the need to process the data in a remote data center is no more required. The mechanism of the process is already present around us in a manner that makes it comfortably suitable to be used by all of them. Some examples of Edge computing are monitoring oil rigs, grid analysis, and drone-managed crop analysis. This majorly helps with the upgradation of the management of things. Edge computing is present everywhere in every mini and micro-management of stuff. The moment the data storage mediums are brought closer to the equipment, and it enables a lot of IT sensors to check the machine's health. With a perfect balance in bandwidth usage and reduced latency, the time required for the same also decreases. The data transfer from clouds to the storage devices and the user's PC and IoT device makes it more feasible than any other device.

Industrial Segmentation:

The Edge Computing Market was estimated to share a global cost of $4.68 billion in 2020 and is further estimated to share a profit of USD 168.59 Billion by 2030. This growth is estimated to keep a healthy CAGR of 24.51%  onstant.

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The Edge Computing Market was estimated to share a global cost of $4.68 billion in 2020 and is further estimated to share a profit of $61.4 billion by 2028. This growth is estimated to keep a healthy CAGR of 24.51% constant. The major driving factors of the market are due to an increase in cloud computing and several other storage-based solutions. The significant increase and demand for IoT devices and IT infrastructures is what asks for the maximum applications of the market. The devices, edge notes, and localized data centers are usually provided by all sorts of access to the computing platforms such that no other 3rd party organization can have any other interference with the same. Substantial market growth is predicted for the Edge Computing Market during the forecast period.

Market Segmentation:

The Edge Computing Market can be broadly divided into three categories of component, deployment, application, and technology.

The Edge Computing Market is divided into hardware and software solutions depending on the component segmentation.

 The market is again segmented into the Cloud and the On-Premise by deployment.

The Edge Computing Market is broadly segmented into analytics, data caching, augmented reality, and environment monitoring.

Lastly, depending on the technology, the market is segmented into fog computing and mobile edging computing.

By Components:

  • Hardware
  • Software – Cloud and On-Premise
  • Service – Professional Service And Managed Services

By Enterprise Size:

  • SMEs
  • Large Enterprise

By End-Users:

  • BFSI
  • Transportation
  • Healthcare
  • Manufacturing
  • Semiconductor
  • Government
  • IT Telecommunication
  • Retail
  • Energy
  • Utilities
  • Education
  • Hospitality etc.

By Region:

North America:

  1. US
  2. Canada

Latin America:

  1. Mexico
  2. Brazil
  3. Peru
  4. Chile
  5. Others

Western Europe:

  1. Germany
  2. UK
  3. France
  4. Spain
  5. Italy
  6. Nordic countries
  7. Belgium
  8. Netherlands
  9. Luxembourg

Eastern Europe:

  1. Poland
  2. Russia

Asia Pacific:

  1. India
  2. Japan
  3. China
  4. ASEAN
  5. Australia
  6. New Zealand

The Middle East and Africa:

  1. GCC
  2. Southern Africa
  3. North Africa

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Regional Analysis:

Based on the various factors, the Edge Computing Market is globally spread over the states of the US and Mexico in North America and parts of the UK, France, and Germany in Europe. Asia-Pacific parts of China, Japan, and India are already globally dominated by the same. Latin America and Brazil have major parts covered by the industry.

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