Edge Computing Market Research Report Information By Component (Hardware, Software/Solutions, and Services), Deployment (On-Premise, and On-Cloud), Connectivity (Private Networks, Bluetooth, Cellular IoT, 5G), Application (Industrial Internet of Things, Remote Monitoring, Big Data & Analytics, Autonomous Vehicles, AR and (VR, Content Delivery & Others), Industry Vertical (BFSI, IT & Telecommunication, Retail, Manufacturing), & By Region (North America, Europe, Asia-Pacific, Middle East & Africa & South America) –Market Forecast Till 2032

Edge Computing Market Overview

The Edge Computing market size is projected to grow from USD 19.38 Billion in 2024 to USD 46.17 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 48.64% during the forecast period (2024 - 2032). Additionally, the market size for Edge Computing was valued at USD 13.04 Billion in 2023. 

Edge computing is a way to optimize cloud computing by moving computation closer to the source of the data, such as edge devices or local computers. This allows for faster processing of data, as well as lower latency, improved security, and better overall system performance. By processing data at the edge of the network, it reduces the amount of data that needs to be transmitted to a data center, which also reduces the bandwidth requirements. This enables real-time data processing and seamless connectivity for end-users.

Figure1: Edge Computing Market, 2019 - 2032 (USD Billion)

Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review

Edge Computing Market Driver

The Internet of Things (IoT) and Software as a Service (SaaS) based applications are seeing increasing adoption around the globe. The growth of these technologies is driving the development of the edge computing market. Edge computing involves processing data at the source, rather than sending it to a central location for processing. IoT devices generate vast amounts of data that need to be processed in real-time, and edge computing provides the ideal infrastructure to handle this data. SaaS applications, on the other hand, require low latency and high reliability, which edge computing can provide. The integration of IoT and SaaS with edge computing is expected to create new business opportunities and drive market growth in the forecasted years.

Analytic processing is vastly improved with edge computing, which has been attracting a lot of attention due to its huge advantages - less latency. Edge computing allows data from connected assets to be processed at the edge rather than having to travel back to a data center or cloud. The delay limited the potential for businesses to leverage their data insights quickly (or automatically).

It is clear that edge computing holds tremendous promise for businesses seeking a competitive advantage. By removing the need to move or store high-frequency IoT data to the cloud, edge computing reduces IT costs. Data analytics at the edge can identify which data is to be moved and which is to be stored for deeper analysis (such as significant changes in temperature or vibration or all sensor data captured minutes before and after failures). In addition, high-value data can be compressed to reduce the overall volume of data and the amount of bandwidth required for cloud storage.

Artificial intelligence (AI) and edge computing combine to produce multiple advantages. Companies are using AI-enhanced IoT analytics at the edge of their networks in order to uncover hidden patterns in data on-the-spot such as Enhanced operational efficiency, Differentiated customer experiences, Faster innovation, and Stronger data security, along with lightning-fast, business-critical decisions. Millions of dollars saved by avoiding unplanned downtime.

In the same way, edge computing can transform the way customers and patients receive healthcare. A health care system that uses it can improve the patient experience as well as the clinician's productivity and effectiveness. With IoT-enabled phones or watches, patients can capture their own vitals (such as blood pressure, blood sugar, heart rate and rhythm data), and then share this data instantly with clinicians. With edge analytics, continuous patient monitoring can be enabled, better doctor-patient communication can be achieved, and clinical diagnosis and decision-making can be made more quickly and accurately.

Edge Computing Market Component Segment Insights

Edge Computing Component Insights

Based on Component, the Edge Computing Market is bifurcated into Hardware, Software/ Solutions, and Services.  The Hardware segment held the majority share in 2022, contributing around 51.5% to the market revenue.  Based on Hardware subsegment the market is again bifurcated into Processors/CPUs, Network Gateways, Storage Devices, Servers, Routers & Switches, Sensors, Controllers, and Others.

PROCESSOR/CPUS

Processors are an integrated part of any computational system which performs logic, arithmetic, input/output (I/O), and other basic instructions that are responsible for the smooth functioning of certain operations on the device. AI-based processors combine imaging, visual processing, and deep learning inference in real time. The Xeon D-series processor chips launched by Intel are specifically designed for workloads that operate on the edge of the cloud and are optimized for applications that operate with limited availability if power and other resources. These system-on-a-chip (SoC) processors support high-density, single-socket network, storage and cloud edge computing solutions with a range of integrated security, network, and acceleration capabilities.

SERVERS

Edge computing servers help in managing all the data and the resources at the network edge to ensure safe, quick, and reliable execution of the program. Servers BullSequana Edge, an edge computing server launched by Atos SE, helps to manage data at the edge. The server is designed to be used securely for the IoT applications, such as manufacturing 4.0, autonomous vehicles, healthcare, and security, in environments where data needs to be processed and analyzed at the edge, in real time, with faster response times.

STORAGE DEVICES

As edge computing is adopted across various industry verticals, making decisions about storage technology at each tier of storage and transmission is becoming complex. For seamless working of edge computing technology, local storage devices are required as the data is stored and processed locally on the device before being transmitted. Storage devices with high performance is a critical part of the edge computing system. Power, temperature tolerance, and tolerance of vibration and shock are some of the attributes of endpoint storage. NAND flash storage is ideal for edge devices, as it includes a wider thermal range when compared to the hard disk storage.

It also has lower power requirements, does not contain any moving parts, and has a better ability to withstand shock and vibration. The Samsung 860 DCT, a data centre solid-state drive (SSD) with advanced V-NAND technology, combines reliability and performance by reducing the downtime and efficient operation of the enterprise SSD with the low cost.

NETWORK GATEWAYS

A network gateway or edge gateway acts as a portal between edge computing processing is done and the broader fog network. The gateway is the window into the larger environment beyond the edge of the network. A network gateway works like a firewall and filters packets that separate corporate network as intranet from a public network. Edge gateways are architectural components which improve the performance of IoT networks. Vendors are focused on designing flexible off-the-shelf devices to meet the varying demands of the consumer. These gateways are small servers that lie between a company’s data centre or cloud and the IoT endpoints being used in the field.

ROUTERS & SWITCHES

Edge routers or access routers serve a broader array of function when compared to traditional or core routers. They are the gateway connecting the local network to the external wide area network (WAN). All the data packets from various sources entering into a network must pass through the edge router. Since the inbound data is coming from a wider array of sources, the edge router needs to be able to filter, queue, and monitor every packet before it is directed to the networks core router. An edge router is also responsible for the security of the network as is the first point of contact with the external network. This makes it an ideal location for firewall systems to screen out malicious content and unauthorized access requests.

An edge switch, access nodes, or service nodes are switches located at the network gateway. These switches connect the end user’s local area networks (LANs) to Internet service provider (ISP) networks. The SN2010 and SN2100 spectrum Ethernet switches offered by Mellanox Technologies is an ideal switch for edge computing solution as it has a compact factor, allows execution of a containerized application, and offer visibility and telemetry features that can be used to identify and troubleshoot network performance issues.

SENSORS

In an edge computing model, the sensors deployed on connected devices transmit data from a physical environment to a nearby edge computing device, for instance, a gateway device. The data is then processed or analysed by networking devices such as switch or router instead of transmitting it to cloud or a remote data centre. Advances in sensor technologies and computing capabilities, combined with a reduction in prices, has increased the adoption of IoT technology; this is expected to drive the growth of edge computing market. Various industry verticals have experienced an increasing adoption of sensor fusion and edge computing systems to enhance their operational performance by efficient data processing with reduced bandwidth consumption and latency.

CONTROLLERS

A controller is a modular device, card, or microchip that is focused on managing all the commands and control applications on the edge network intelligently. These controllers, control and coordinate a set of edge devices and are custom built for each operational domain. The controllers also called as fog nodes used in fog computing provides the virtualized environment for application hosting. These controllers replace the need for PLC in any IoT ecosystem.

OTHERS

Other components include connectors and cabling. Connectors are used to terminate a section of cabling and provide a point of entry for networking devices such as switches, hubs, and routers. Rj-45, J Rj-11, USB, and MT-RJ are some of the types of connectors used in the networking system. Coaxial cable, optical fiber cable, and twisted pair cables are some of the types of network cables used in the systems depending upon the network requirement.

Edge Computing Market Deployment Segment Insights

Edge Computing Deployment Insights

Based on Deployment, the Edge Computing Market is segmented into On-Premises, and On-Cloud. The On-Premises segment held the majority share in 2022, contributing around 59.1% to the market revenue.  Edge computing devices are deployed on-premises to replicate cloud services and separate the data center from the public cloud. Edge computing provides local data processing through the addition of on-premises devices, including programmable automation controllers (PACs), to the business IOT stack.

This allows data to be investigated locally. On-premises edge is critical when customers want all their data to remain on their premises (for example, due to it is highly sensitive or private data documenting special company practices or designs), but they still want to benefit from the flexibility and elasticity provided by cloud computing.

Edge Computing Market Connectivity Segment Insights

Edge Computing Connectivity Insights

Based on Connectivity, the Edge Computing Market segmentation includes Private Networks, Bluetooth, Cellular IoT, 5G, Other. 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.

Edge Computing Market Application Segment Insights

Edge Computing Application Insights

Based on Application, the Edge Computing Market segmentation includes Industrial Internet of Things (IIoT), Remote Monitoring, Big Data and Analytics, Autonomous Vehicles, Augmented Reality (AR) and Virtual Reality (VR), Content Delivery, and Others. Based on the Application segment, the Industrial Internet of Things (IIoT) accounted for the largest market share with a market value of USD 3,139.6 million in 2022 and is projected to grow at a CAGR of 50.9%.  With the significant increase in the number of connected devices, there has been an explosion in the amount of data being generated.

The traditional model of processing and storing data in the cloud is becoming expensive; furthermore, due to high data traffic, there is a delay in data computation, which does not meet the consumer requirements. The edge computing approach for IoT facilitates the processing of device data closer to the source, thereby enabling the possibility of reducing data fetching time; furthermore, it improves the scalability and energy efficiency of IoT devices, provides contextual information processing, thus reducing traffic on the backbone network, and providing enhanced security as compared to traditional cloud infrastructure.

Edge Computing Market Industry Vertical Segment Insights

Edge Computing Industry Vertical Insights

Based on Industry Vertical, the Edge Computing Market segmentation includes BFSI, IT & Telecommunication, Retail, Manufacturing, and Others. Based on Industry Vertical, Manufacturing accounted for the largest market size with a market value of USD 4,488.7 million in 2022 and is projected to grow at a CAGR of 49.8%. The advent of IoT and automation have transformed the entire manufacturing industry by raising the operational performance of manufacturing systems. Edge computing offers intelligence to the existing manufacturing processes to elevate the responsiveness and agility of the manufacturing processes.

Adopting edge computing to the smart manufacturing processes increases the responsiveness to the service requested, reliability, and minimizes the storage and bandwidth costs. Edge computing helps in processing and storing the data from elements of the IoT network closer to the points from where the data is gathered rather than transmitting it to the data center reduces the network latency and minimizing the cost related to setting up, maintaining, or subscribing to high-bandwidth connectivity.

By Region, the study provides market insights into North America, Europe, Asia-Pacific, Middle East & Africa, and South America. In terms of revenue, North America held the largest share of 38.3% in the Edge Computing market in 2022 and is expected to maintain its dominance during the forecast period. The North American edge computing market has been segmented, by country, into the US, Canada, and Mexico. The regional market is expected to dominate the Edge Computing Market during the forecast period. Growth of the edge computing market in North America is driven due to the increasing adoption of IoT technology across various industry vertical, growing demand for instantaneous processing, and rising adoption of the cloud platform. Furthermore, the region witnesses the presence of major players in the market such as Amazon Web Services, Inc., Microsoft Corporation, IBM Corporation, Intel Corporation, and Google LLC.

These players are investing heavily in research and development of edge computing products and solutions to cater to various applications. Furthermore, the region also has a high penetration of 4G/LTE and is expected to dominate in terms of the adoption of the 5G technology in the coming years, which is further expected to drive the growth of edge computing market in North America. Verizon and AWS teamed in January 2022 to bring mobile edge computing to 30% additional metro area cities in the United States, with the inclusion of Charlotte, Detroit, Los Angeles, and Minneapolis. The combination reduces the latency and network hops needed to connect from a platform-hosted application to the end user's device. Ball's contract with AWS will be extended in April 2022. This project seeks to develop Canada's first public multi-access edge computing (MEC) service with AWS Wavelength. The 5G network is projected to open up new potential for growth in the edge computing business.

The US is a major market for edge computing due to the presence of several key players such as Amazon Web Services, Inc., Intel Corporation, IBM Corporation, and Microsoft Corporation who are investing significantly in developing solutions for various applications. Technology adoption trends globally are introduced in and have a substantial impact on the US markets before any other, due to which the adoption and developments in edge computing are expected to be high. The cloud computing market is at the maturity stage, owing to which, the industry demands to move outside the core data center.

Edge computing is capable of handling high volumes of data traffic, with reduced latency and the reliability of network which is expected to drive the growth of the market. Well established digital infrastructure and government supporting major telecom operators such as AT&T and Verizon Communications Ltd for testing and deployment of the 5G network to offer seamless network connectivity with reduced latency and bandwidth requirement are some of the factors further driving the growth of US edge computing market. Furthermore, the high adoption of IIoT across manufacturing industries in the region to automate and optimize the operational performance helps in the growth of edge computing market in the country.

The Canadian edge computing market is expected to witness a significant growth owing to increasing adoption of smartphones and high demand for streaming services requiring low latency and bandwidth. Growing initiatives from the Canadian government supporting the development of smart cities and increasing adoption of cloud computing and IIoT are driving the adoption of edge computing in Canada. Furthermore, the growing demand for edge analytics to offer optimized and enhanced operational performance across the utility sector are propelling the market growth in Canada. Furthermore, the high adoption of the cloud platform to obtain scalability, flexibility, mobility, and cost-effective operations also contributes significantly to the market growth. However, integration issues due to complex infrastructure is the major restraining factor hampering the market growth in Canada.

The market in Mexico is witnessing slow growth in the Edge Computing Market. Increasing internet penetration and demand for high-speed Internet connectivity are the primary factors driving the growth of the edge computing market in Mexico. The growing adoption of IIoT across manufacturing, BFSI, transportation, utilities, and other industry vertical is further helping the market growth in the country. Government initiatives for increasing the adoption of Industry 4.0 and the growing connected car market are the reasons propelling the growth of edge computing market in the country. Also, the increasing adoption of edge analytics among business organizations to obtain a competitive advantage and generate new revenue streams increases the demand for edge computing. However, low awareness and data security concerns are hampering the growth of edge computing market in Mexico.

Figure 3: EDGE COMPUTING MARKET SIZE BY REGION 2022 & 2032

Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review

Further, the major countries studied in the market report are the U.S., Canada, Germany, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.

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.

Edge Computing Key Market Players & Competitive Insights

Edge computing optimizes Internet devices and web applications by bringing computing closer to the source of the data. This minimizes the need for long distance communications between client and server, which reduces latency and bandwidth usage. It offers some unique advantages over traditional models, where computing power is centralized at an on-premises data centre. Putting compute at the edge allows companies to improve how they manage and use physical assets and create new interactive, human experiences. Some examples of edge use cases include self-driving cars, autonomous robots, smart equipment data and automated retail.

Moreover, Edge has a role to play in the evolution of AI and generative AI for businesses. It enables data analysis in real- or near-real time, making training AI models a simpler task and improving the performance of AI-driven applications. Not surprisingly, edge is becoming an integral part of the digital core, which leverages the power of cloud, data, and AI through an interoperable set of systems across the enterprise that allows for rapid innovation. thus, for many businesses Edge is set to become a ubiquitous lever of scale and reinvention—especially as AI becomes more pervasive. this shows Edge computing is bending the innovation curve by dramatically improving the performance of production and service applications that run business. It moves computing to the edge of the enterprise network where it is closest to users and devices — and most critically, where the data is created.

MRFR has analysed some of the major players in the Edge Computing Market who have contributed to the market growth. These include SAP SE, ABB, Amazon Web Services (AWS), Inc., Aricent, Inc., Atos, Cisco Systems, Inc., General Electric Company, Hewlett Packard Enterprise Development, Honeywell International Inc., Huawei Technologies Co., Ltd., IBM Corporation, Intel Corporation, Aspeed, Fintek, Advantech, Kontron, ITE Tech and others. Among these, Microsoft, Amazon Web Services (AWS), Inc, Cisco Systems, Inc, IBM Corporation, Intel Corporation, Dell, are among the top players in Edge Computing market. These players focus on expanding and enhancing their product portfolio and services to remain competitive and increase their customer.

Microsoft’s key strategies in the edge computing market revolve around leveraging its cloud infrastructure (Azure) to extend computing capabilities closer to devices and users. The company focuses on offering a comprehensive edge computing platform, empowering businesses to process data at the edge efficiently. Their strategy includes enabling seamless integration between cloud and edge environments, fostering an ecosystem of edge-compatible solutions, emphasizing security and compliance, investing in AI-driven edge analytics, and collaborating with industry partners to develop scalable and diverse edge computing applications. Microsoft’s approach aims to enable customers to harness the power of edge computing while ensuring interoperability, security, and scalability across their ecosystem. Likewise, numerous companies are seeking to well-position to capitalize on the growing edge computing market.

Additionally, these players are considerably contributing to the market growth by the adoption of various strategies, including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the Edge Computing market.

Key Companies in the Edge Computing market include

• SAP SE


• Microsoft


• ABB


• Amazon Web Series (AWS)


• General Electric Company


• ATOS SE


• 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.


• Kontron AG

Edge Computing Industry Developments

February 2024 – ADLINK disclosed 5G and industrial edge computing at MWC Barcelona. Furthermore, partners and customers of ADLINK, including AgrandTech, SageRAN and Askey, will be showcasing multiple 5G network solutions based on the new MECS series of ADLINK Edge Server.

In January 2024, EQT Infrastructure positioned itself jointly with EdgeConneX with a view to developing global data centers targeting hyper-scale customers. This new collaboration would create a lot of new data center capacity in megawatts and foster the future growth of cloud, artificial intelligence and other critical digital vertices.

In May 2023, Dell Technologies introduced NativeEdge. This new platform is intended to ease the deployment of secure edge solutions by companies and businesses.

In April 2023, Nokia introduced four third-party applications for MX Industry Edge (MXIE) for the companies for data analysis by connecting and harvesting data from OT devices in a secure on-premises edge.

In October 2022, AWS announced the availability of the Amazon Elastic Compute Cloud (Amazon EC2). Trn1 instances are based on the Trainium processors that have been designed particularly for cloud resources. The introduction of this new type of instance enables AWS customers to carry out machine learning processes with less budgetary allocation than previously.

In August 2022, Belden launched the Hirschmann OpEdge-8D device aimed at enhancing the edge computing capabilities of large and complex industrial networks.

In January 2022, IBM and American Tower announced their strategic alliance to encourage edge computing. The goal of the Alliance is to aid in the ease at which a multi-cloud hybrid cloud computing circumstance can be put at the edge of networks, enabling easy access to business applications to the storage of necessary information.

In December 2022, McDonald’s, together with Google, announced their partnership to join forces across its numerous stores around the globe. Because of the partnership, McDonald’s is using Google Cloud’s edge computing to boost these new platforms, expanding the distance between data storage and high power-driven computing because of its location in different restaurants.

In March 2023, The UK subsidiary of BT Group signed a new agreement to strengthen the position of Amazon AWS in the UK in the development of their alliance centered around 5G edge computing, cloud networking solutions and IoT in particular. The deal is aimed to reach a revenue potential of 500 million US dollars from the sale of IoT services and connectivity to businesses in the UK, primarily over the next five years.

Edge Computing Market Segmentation

Edge Computing Component Outlook

• 
  

  Hardware

  
  
  
  
  • Processor/CPUs
  
  
  • Servers
  
  
  • Storage Devices
  
  
  • Network Gateways
  
  
  • Routers and Switches
  
  
  • Sensors
  
  
  • Controllers
  
  
  • Others
  
  
  
  


• 
  

  Software/Solutions

  
  


• 
  

  Services

  
  

Edge Computing Deployment Outlook

• On-Premise


• On-Cloud

Edge Computing Connectivity Outlook

• Private Networks


• Bluetooth


• Cellular IoT


• 5G


• Others

Edge Computing Application Outlook

• Industrial Internet of Things (IIoT)


• Remote Monitoring


• Big Data and Analytics


• Autonomous Vehicles


• Augmented Reality (AR) and Virtual Reality (VR)


• Content Delivery


• Others

Edge Computing Industry Vertical Outlook

• BFSI


• IT & Telecommunication


• Retail


• Manufacturing


• Others

Edge Computing Regional Outlook

• 
  

  North America

  
  
  
  
  • US
  
  
  • Canada
  
  
  
  


• 
  

  Europe

  
  
  
  
  • Germany
  
  
  • France
  
  
  • UK
  
  
  • Italy
  
  
  • Spain
  
  
  • Rest of Europe
  
  
  
  


• 
  

  Asia-Pacific

  
  
  
  
  • China
  
  
  • Japan
  
  
  • India
  
  
  • Australia
  
  
  • South Korea
  
  
  • Rest of Asia Pacific
  
  
  
  


• 
  

  Middle East & Africa

  
  
  
  
  • Saudi Arabia
  
  
  • UAE
  
  
  • South Africa
  
  
  • Rest of Middle East & Africa
  
  
  
  


• 
  

  South America

  
  
  
  
  • Brazil
  
  
  • Argentina
  
  
  • Rest of South America