The global Edge Computing market is booming because of the increasing adoption of IoT and SaaS-based applications, due to which the market is expected to grow at a CAGR of 48.6% from 2023 to 2032

Market Research Future (MRFR) has published on the “Global Edge Computing Market”.

The global Edge Computing market is experiencing significant growth due to various factors such as the increasing adoption of IoT and SaaS-based applications, the growing need for real-time automated decision-making solutions, and the advantages offered by Edge Computing. The market is projected to grow at a CAGR of 48.6% from 2023 to 2032.

The report provides insights and analysis from 2022 to 2032, highlighting the market size, key players, and growth trends.

Key market players in the global Edge Computing market include SAP SE, ABB, Amazon Web Services (AWS), Microsoft, ATOS SE, General Electric Company, Hewlett Packard Enterprise Development LP (HPE), Honeywell International Inc., Huawei Technologies Co. Ltd. (Huawei), IBM Corporation, Intel Corporation, Aspeed, ITE Tech, Fintek, Advantech Co., Ltd., and Kontron AG.

Key market drivers for Edge Computing include the increasing adoption of IoT and SaaS-based applications, as well as the growing need for real-time automated decision-making solutions. The market also offers opportunities with the availability of niche solutions across edge platforms, AI, and analytics from global start-ups. Edge Computing is also being explored for applications in XR (extended reality) technologies.

Market Highlights

Growing Need For Real-Time Automated Decision-Making Solutions to Drive the Growth of the Global Edge Computing Market

Edge computing refers to the practice of processing data at the edge of a network, closer to the source of the data rather than in a centralized data center. Real-time automated decision making solutions in the Edge computing market typically involve using edge devices such as sensors, cameras, and gateways to collect and analyze data in real-time, and then make decisions based on that data without the need for human intervention. These solutions can be used in a wide range of applications, such as industrial automation, smart cities, and Internet of Things (IoT) applications. Some popular use-cases include predictive maintenance, anomaly detection and real-time streaming analytics.

In manufacturing, edge computing devices such as sensors and cameras can be used to collect data on the performance of machinery, such as temperature, vibration, and pressure. This data can then be analysed in real-time using decision-making algorithms to identify potential issues and schedule maintenance before they cause costly downtime. This can improve the overall efficiency and productivity of the manufacturing process, as well as reducing maintenance costs. Additionally, this type of solution can also be used to improve the safety of the plant, by detecting and alerting the operator to potential hazards before they cause injury or damage. Edge computing solutions can be integrated with existing infrastructure to enable real-time monitoring, control and decision making, further increasing the efficiency of the entire process.

In Smart Cities, it can be used to process data from cameras and sensors in real-time to detect traffic congestion, optimize traffic signals, and improve overall traffic flow in a city. This can be achieved by using cameras and sensors installed at various locations throughout the city to collect data on traffic volume and patterns, this data is then analyzed by the edge computing devices in real-time to detect congestion and adjust traffic signals accordingly. This can help to reduce traffic congestion, improve traffic flow, and ultimately reduce travel times for drivers and make the city more efficient. Additionally, this type of solution can also be used to improve the safety of the city, by detecting and alerting the authorities for potential hazards such as accidents, construction, and emergency vehicles.

Devices such as cameras and sensors can be used to collect data on the movement of customers in a store, this data can then be analyzed in real-time using decision-making algorithms to optimize store layouts and improve customer experience. This can be achieved by using cameras to track the movement of customers throughout the store and sensors to collect data on customer interactions with products. This data can then be analyzed to identify patterns in customer behavior, such as which areas of the store are most heavily trafficked, which products are most popular, and which areas of the store are underutilized. This can ultimately help to increase sales and improve the overall customer experience. Edge devices can also be used to analyze the data to understand the customer demographics, preferences and behavior which can help the store to personalize the shopping experience for the customers.

Hence, the growing need for real-time automated decision-making solutions will boost the sales of global edge computing market for the forecasted period.

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Segment Analysis

The global Edge Computing Market has been segmented based on Deployment, Connectivity, Component, Application, Industry Vertical, and Region. The market can be segmented based on components into hardware, software/solutions, and services. In terms of deployment, it can be categorized as on-premise and on-cloud. The connectivity options for Edge Computing include private networks, Bluetooth, cellular IoT, 5G, and others. Cellular IoT held the largest share of the global Edge Computing market in 2022, accounting for 32.8% of the market revenue. Edge computing with cellular IoT uses cellular networks and edge computing capabilities to process and analyze data closer to IoT devices at the network's edge. This reduces latency and bandwidth consumption, making it ideal for IoT applications.

By Deployment, Global Edge Computing Market is segmented into On-Premise, and On-Cloud. The On-Premises segment dominated the global Edge Computing market in 2022, accounting for 59.1% of the market revenue. Edge computing devices are deployed on-premises to replicate cloud services and separate the data center from the public cloud. This allows data to be processed locally, making it ideal for sensitive data that cannot be sent to the cloud.

Based on Connectivity, the global Edge Computing market segmentation includes Private Networks, Bluetooth, Cellular IoT, 5G, Others. The Cellular IoT segment held the majority share in 2022, contributing around 32.8% to the market revenue.  Edge computing with cellular IoT (Internet of Things) includes utilizing cellular networks and edge computing capabilities to process and analyze data closer to IoT devices at the network's edge. Cellular networks are used for IoT applications by cellular IoT technologies, such as NB-IoT and LTE-M. With edge computing capabilities, cellular IoT devices can do local data processing at the network edge. This lowers latency and bandwidth consumption by eliminating the need to transfer all data to a centralized cloud server

Based on Application the market is segmented into Industrial Internet of Things (IIoT), Remote Monitoring, Big Data and Analytics, Autonomous Vehicles, Augmented Reality (AR) and Virtual Reality (VR), Content Delivery, and Others. Industrial Internet of Things (IIoT) was the largest application segment in the global Edge Computing market in 2022, accounting for 50.9% of the market revenue. Edge computing enables the processing of device data closer to the source, reducing data fetching time, improving scalability and energy efficiency, and providing contextual information processing.

Based on Industry Vertical, the market has been segmented into BFSI, IT & Telecommunication, Retail, Manufacturing, and Others. Manufacturing was the largest industry vertical in the global Edge Computing market in 2022, accounting for 49.8% of the market revenue. Edge computing offers intelligence to existing manufacturing processes, increasing responsiveness and agility. It also reduces network latency and minimizes storage and bandwidth costs.

Regional Analysis

By Region, the study provides market insights into North America, Europe, Asia-Pacific, Middle East & Africa, and South America. North America dominated the global Edge Computing market in 2022, accounting for 38.3% of the market revenue. The region is expected to maintain its dominance during the forecast period due to the increasing adoption of IoT technology, growing demand for instantaneous processing, and rising adoption of the cloud platform. The US, Canada, and Mexico are the key countries in the region.

The European edge computing market is divided into Germany, the UK, France, and the rest of Europe. The UK is expected to be the leading market due to increasing demand for smart devices and rising internet penetration. Germany has a well-established network infrastructure and government regulations support 5G network testing and deployment, while France sees increased adoption of cloud platforms and IoT across various industry verticals. Energy and utilities are major sectors in France, and there is high adoption of cloud platforms and IoT across various industry verticals in the rest of Europe.

The growth of the edge computing market in the Asia-Pacific region is driven by the increasing adoption of IoT and IIoT across organizations in the region. China has made a promising start in 5G and edge computing, and multinational firms like Meta, Apple, Netflix, and Google influence the future of edge computing-powered surveillance technology. Japanese companies like Blaize distribute AI edge computing, and the Chinese edge computing market is dominated by tech giants like Baidu, Inc. and Alibaba Group Holding Limited.

The Middle East and Africa have seen the evolution of data center infrastructure and applications, leading to an increasing number of data centers and the adoption of IoT and IIoT devices. Edge computing is used to process this data in real-time across industries, and the market is expected to grow at a high rate during the forecast period. The growth of smart factories and the increasing demand for e-commerce and gaming will drive the adoption of edge computing.

Over 50% of the South American population is connected to the Internet, and companies are increasingly switching to edge computing due to its benefits in reducing latency and increasing data security. There has been an increase in IoT and IIoT projects in countries like Brazil, Argentina, Chile, and Colombia, fueling the growth of the edge computing market. The market is dominated by companies like Amazon, Google, Microsoft, and IBM.

Key Findings of the Study

• The Global Edge Computing Market is expected to reach USD 461,797.4 million by 2032, at a CAGR of 48.6% during the forecast period.


• The North America region accounted for the fastest-growing global market.


• Based on Component, the Hardware segment was attributed to holding the largest market in 2022, with an approximate market share of 51.5%.


• SAP SE, ABB, Amazon Web Series (AWS), Microsoft, ATOS SE, General Electric Company , Hewlett Packard Enterprise Development LP (HPE), and Honeywell International Inc, and Others are the key market players.