Edge Computing Market Size, Share, Forecast, Research Report 2023-2032

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Market Research Future Insights:

The Global Edge Computing Market industry is projected to grow from USD 36.35 Billion in 2022 to USD 168.6 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 24.51% during the forecast period (2022 - 2030).

Edge computing is a technique for improving cloud computing systems by processing data at the edge of the network, near the source of the data. The key beneficial aliment of edge computing is that it diminishes the time for the operation to milliseconds and lowers the load on the network. Transmission of large amounts of loads generates tremendous load on the network. Therefore, edge computing processes all data at the edge of its source and analyze the data, and send only valuable information on it, rather than frequently broadcasting data over the network. For example, a smart thermostat transmits data only when the temperature increases or falls from acceptable limits.

The edge server is projected to be the booming hardware segment. The development of autonomous vehicles to get information like the weather, light, and road condition, get navigation, control, and even automatically drive has boosted the Edge Computing Market Share. The augmented demand for edge servers throughout various industrial verticals accounts for the segment's promising growth prospects.

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Key Players:

The Global Edge Computing Market’s prominent key players are,

  • General Electric Company
  • Amazon Inc.
  • Intel Corporation
  • Microsoft Corporation
  • SAP SE
  • Schneider Electric SE
  • Alphabet Inc.
  • IBM Corporation
  • ADLINK Technology Inc.
  • Huawei Technologies Co. Ltd.
  • eInfochips
  • EdgeConnex Inc.
  • Integrated Device Technology Inc.
  • Fujitsu Ltd.
  • Siemens AG
  • The Hewlett Packard Enterprise Company
  • ZenLayer Inc.
  • Rittal GmbH & Co. KG
  • ABB Ltd.
  • Yokogawa Electric Corporation
  • Advanced Micro Devices Inc.

The Global Edge Computing Market report provides an integrated evaluation of the market. The report provides a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a significant role in the market.

Regional Analysis:

The Global Edge Computing Market is divided into five regions; North America, Asia Pacific, Europe, Latin America, and the Middle East & Africa.

Asia Pacific counted for a significant revenue share due to an augmenting focus on strengthening networking technology in the region. The progression of Telco edge infrastructure to support 5G-enabled applications is estimated to be accelerated by the launch of 5G networks. IT investment in the zone is steadily increasing, which is projected to contribute to an upsurge in the usage of edge computing.

North America esteemed the largest revenue share of the Edge Computing Market. Multiple companies have also emerged to supply infrastructure for building edge-enabled solutions, which are anticipated to drive market growth in the region.

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Market Segmentation:

The edge computing market is segmented based on component, application, industry vertical, and region.

By Component:

  • Hardware: This segment includes edge devices, edge gateways, and servers. Edge devices are the smallest and most basic components of edge computing. They are responsible for collecting data from sensors and actuators. Edge gateways are responsible for processing and routing data between edge devices and servers. Servers are responsible for storing and analyzing data.
  • Software: This segment includes edge computing platforms and edge computing applications. Edge computing platforms provide a foundation for building and deploying edge computing applications. Edge computing applications are used to process and analyze data at the edge.
  • Services: This segment includes consulting, integration, and support services. Consulting services help businesses understand the benefits of edge computing and develop a strategy for implementing it. Integration services help businesses integrate edge computing solutions with their existing systems. Support services help businesses maintain and troubleshoot their edge computing solutions.

By Application:

  • Industrial Internet of Things (IIoT): IIoT is a rapidly growing market that is driving the demand for edge computing. IIoT devices generate large amounts of data that needs to be processed and analyzed in real time. Edge computing can help businesses collect, process, and analyze IIoT data at the edge, which can help them improve operational efficiency, reduce costs, and improve customer experience.
  • Smart cities: Smart cities are another rapidly growing market that is driving the demand for edge computing. Smart cities use a variety of sensors and actuators to collect data about traffic, weather, and other conditions. Edge computing can help cities process and analyze this data in real time, which can help them improve traffic management, reduce energy consumption, and improve public safety.
  • Media and entertainment: Media and entertainment companies are using edge computing to deliver high-quality content to users in real time. For example, edge computing can be used to deliver live sports events, virtual reality experiences, and other high-bandwidth content.
  • Healthcare: Healthcare organizations are using edge computing to collect, process, and analyze patient data in real time. Edge computing can help healthcare organizations improve patient care, reduce costs, and improve patient safety.
  • Other applications: Edge computing can also be used in a variety of other applications, such as self-driving cars, drones, and augmented reality.

By Industry Vertical:

  • Manufacturing: The manufacturing industry is a major user of edge computing. Edge computing can help manufacturers collect, process, and analyze data from sensors and machines in real time. This can help manufacturers improve operational efficiency, reduce costs, and improve product quality.
  • Healthcare: The healthcare industry is another major user of edge computing. Edge computing can help healthcare organizations collect, process, and analyze patient data in real time. This can help healthcare organizations improve patient care, reduce costs, and improve patient safety.
  • Retail: The retail industry is also using edge computing. Edge computing can help retailers collect, process, and analyze data from shoppers in real time. This can help retailers improve customer experience, increase sales, and reduce inventory costs.
  • Transportation and logistics: The transportation and logistics industry is also using edge computing. Edge computing can help transportation and logistics companies collect, process, and analyze data from vehicles and cargo in real time. This can help transportation and logistics companies improve efficiency, reduce costs, and improve customer service.
  • Other industry verticals: Edge computing can also be used in a variety of other industry verticals, such as energy, utilities, and government.

By Region:

  • North America: North America is the largest market for edge computing. This is due to the presence of a large number of technology companies in the region.
  • Europe: Europe is the second largest market for edge computing. This is due to the increasing adoption of edge computing by businesses in the region.
  • Asia Pacific: Asia Pacific is the fastest growing market for edge computing. This is due to the rapid growth of the IoT market in the region.
  • Rest of the world: The rest of the world is also a growing market for edge computing. This is due to the increasing adoption of edge computing by businesses in emerging markets.

The edge computing market is expected to grow at a rapid pace in the coming years. This is due to the increasing adoption of edge computing by businesses in a variety of industries.

Edge Computing Industry Developments: 

The rise of 5G: 5G is a key enabler of edge computing, as it provides the high bandwidth and low latency that are required for many edge applications.

The growth of IoT: The increasing adoption of IoT devices is also driving the growth of edge computing. Edge computing can help to process and analyze data from IoT devices in real time, which is essential for many IoT applications.

The development of new edge computing platforms: There are a number of new edge computing platforms being developed, which are making it easier for businesses to adopt edge computing.

The growth of edge computing services: There are a number of edge computing services available, which can help businesses to get started with edge computing without having to invest in their own hardware and software.

The edge computing industry is still in its early stages, but it is growing rapidly. The developments mentioned above are just a few of the factors that are driving the growth of this industry. 

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