
Artificial Intelligence (AI)-Powered Edge Networking Market Report 2026
Global Outlook – By Offering (Hardware, Software, Services), By Deployment (Cloud-Based, On-Premise), By Technology (Generative Artificial Intelligence (AI), Machine Learning, Deep Learning, Natural Language Processing), By Network Function (Network Optimization, Network Cybersecurity, Network Predictive Maintenance, Network Troubleshooting), By End-Use Industry (Telecom Service Providers, Enterprises, Data Centers, Government, Other End Users) – Market Size, Trends, Strategies, and Forecast to 2035
Artificial Intelligence (AI)-Powered Edge Networking Market Overview
• Artificial Intelligence (AI)-Powered Edge Networking market size has reached to $19.42 billion in 2025 • Expected to grow to $115.64 billion in 2030 at a compound annual growth rate (CAGR) of 42.7% • Growth Driver: Rise In 5G Adoption Fueling The Growth Of The Market Due To Demand For High-Speed, Low-Latency Connectivity • Market Trend: Enhancing Security And Visibility With AI-Native Solutions • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.What Is Covered Under Artificial Intelligence (AI)-Powered Edge Networking Market?
Artificial intelligence (AI)-powered edge networking is a computing architecture that combines edge computing and artificial intelligence to enable real-time data analysis, decision-making, and automation at or near the data source. This approach reduces latency, optimizes bandwidth usage, enhances data privacy, and supports intelligent network management by leveraging AI algorithms for traffic prediction, anomaly detection, and resource allocation directly at the network edge. The main offerings in artificial intelligence (AI)-powered edge networking include hardware, software, and services. Hardware refers to high-performance physical devices such as processors, gateways, and routers that enable local AI processing to reduce latency, enhance security, and support real-time decision-making. Deployment types include cloud-based and on-premise models. Technologies used in AI-powered edge networking include generative artificial intelligence (AI), machine learning, deep learning, and natural language processing. Network functions supported by these technologies include network optimization, network cybersecurity, network predictive maintenance, and network troubleshooting. These solutions are used across various end-use industries, such as telecom service providers, enterprises, data centers, governments, and other.
What Is The Artificial Intelligence (AI)-Powered Edge Networking Market Size and Share 2026?
The artificial intelligence (AI)-powered edge networking market size has grown exponentially in recent years. It will grow from $19.42 billion in 2025 to $27.86 billion in 2026 at a compound annual growth rate (CAGR) of 43.5%. The growth in the historic period can be attributed to growth of IoT devices, early edge computing adoption, network congestion challenges, demand for low latency processing, distributed network architectures.What Is The Artificial Intelligence (AI)-Powered Edge Networking Market Growth Forecast?
The artificial intelligence (AI)-powered edge networking market size is expected to see exponential growth in the next few years. It will grow to $115.64 billion in 2030 at a compound annual growth rate (CAGR) of 42.7%. The growth in the forecast period can be attributed to 5G network expansion, autonomous system connectivity, growth of smart factories, AI driven network management demand, decentralized data processing needs. Major trends in the forecast period include real time edge intelligence, AI driven network optimization, edge based cybersecurity analytics, low latency network automation, distributed AI processing.Global Artificial Intelligence (AI)-Powered Edge Networking Market Segmentation
1) By Offering: Hardware, Software, Services 2) By Deployment: Cloud-Based, On-Premise 3) By Technology: Generative Artificial Intelligence (AI), Machine Learning, Deep Learning, Natural Language Processing 4) By Network Function: Network Optimization, Network Cybersecurity, Network Predictive Maintenance, Network Troubleshooting 5) By End-Use Industry: Telecom Service Providers, Enterprises, Data Centers, Government, Other End Users Subsegments: 1) By Hardware: Artificial Intelligence (AI)-Accelerated Edge Processors, Edge Servers And Gateways, Artificial Intelligence (AI) Enabled Routers And Switches, Internet Of Things Devices With Artificial Intelligence (AI) Processing Capabilities 2) By Software: Artificial Intelligence (AI) Driven Network Management Platforms, Edge Artificial Intelligence (AI) Inference Frameworks, Software-Defined Wide Area Network And Network Automation Solutions, Artificial Intelligence (AI) Powered Cybersecurity Solutions 3) By Services: Consulting And Integration Services, Managed Artificial Intelligence (AI) Networking Services, Edge Infrastructure Deployment And MaintenanceWhat Is The Driver Of The Artificial Intelligence (AI)-Powered Edge Networking Market?
The rise of adoption of 5G technology is expected to propel the growth of the artificial intelligence (AI)-powered edge networking market growing forward. 5G technology is the fifth-generation wireless network enabling ultra-fast speeds, low latency, and massive connectivity for advanced digital applications. The rise in 5G technology is primarily due to the increasing demand for high-speed, low-latency connectivity to support advanced applications such as IoT, autonomous systems, and real-time communication. AI-powered edge networking acts as the intelligent brain at the edge of 5G networks, enabling faster, smarter, and more reliable connectivity. It ensures that the full potential of 5G speed, low latency, and massive device support is realized in real-world applications.For instance, in May 2025, according to Telefonaktiebolaget LM Ericsson, a Sweden-based information and communication technology company, 5G adoption is rapidly growing, with subscriptions expected to reach nearly 2.9 billion by the end of 2025 and 6.3 billion globally by 2030. Therefore, the rise of adoption of 5G technology is driving the growth of the artificial intelligence (AI)-powered edge networking industry.Key Players In The Global Artificial Intelligence (AI)-Powered Edge Networking Market
Major companies operating in the artificial intelligence (AI)-powered edge networking market are Huawei Technologies Co. Ltd., Intel Corporation, Cisco Systems Inc., Qualcomm Incorporated, Broadcom Inc., Hewlett Packard Enterprise Development LP, Fujitsu Limited, NVIDIA Corporation, Ericsson, Nokia Corporation, Marvell Technology Inc., Arista Networks Inc., Ciena Corporation, Extreme Networks Inc., Cloudflare Inc., ADLINK Technology Inc., Nexcom International Co. Ltd., EdgeConneX Inc., Versa Networks Inc., Edgeworx Inc.Global Artificial Intelligence (AI)-Powered Edge Networking Market Trends and Insights
Major companies operating in the artificial intelligence (AI)-powered edge networking market are focusing on developing innovative solutions, such as AI-native edge solutions to enhance real-time data processing and decision-making at the network edge. An AI-native edge solution is a system built with integrated artificial intelligence capabilities to perform real-time data processing and decision-making at the network edge, helping edge networking by enabling low-latency performance, intelligent traffic handling, and reduced reliance on centralized cloud infrastructure. For instance, in October 2024, Juniper Networks, Inc., a US-based company that designs, develops, and sells network products and services worldwide, launched a secure AI-native edge solution. This platform integrates networking and security operations using a single cloud and mist AI engine. It simplifies configuration, management, and threat detection across wired, wireless, SD-WAN, and NAC domains. The solution enables faster, more effective security responses with enhanced visibility and control.What Are Latest Mergers And Acquisitions In The Artificial Intelligence (AI)-Powered Edge Networking Market?
In January 2025, BurTech Acquisition Corp., a US-based special purpose acquisition Company, merged with Blaize, Inc. to support Blaize’s growth and commercialization of its AI-powered edge computing solutions. The merger aims to accelerate Blaize’s expansion in delivering purpose-built, AI-enabled edge computing platforms by providing access to public markets, enhancing capital resources, and strengthening strategic partnerships to scale operations and extend customer reach. Blaize, Inc. is a US-based semiconductor company specializing in full-stack AI computing platforms designed for edge applications.Regional Insights
North America was the largest region in the artificial intelligence (AI)-powered edge networking market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.What Defines the Artificial Intelligence (AI)-Powered Edge Networking Market?
The artificial intelligence (AI)-powered edge networking market includes revenues earned by entities by provide services such as AI-driven edge security, AI-based network optimization, and AI-assisted edge cloud computing. The market value includes the value of related goods sold by the service provider or contained within the service offering. The artificial intelligence (AI)-powered edge networking market also consists of sales of edge AI processors and accelerators, AI-powered edge routers and gateways, IoT edge devices and sensors, edge AI frameworks and sdks, AI-based network management software, real-time edge analytics platforms, and edge AI as a service. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.How is Market Value Defined and Measured?
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.What Key Data and Analysis Are Included in the Artificial Intelligence (AI)-Powered Edge Networking Market Report 2026?
The artificial intelligence (ai)-powered edge networking market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (ai)-powered edge networking industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.Artificial Intelligence (AI)-Powered Edge Networking Market Report Forecast Analysis
| Report Attribute | Details |
|---|---|
| Market Size Value In 2026 | $27.86 billion |
| Revenue Forecast In 2035 | $115.64 billion |
| Growth Rate | CAGR of 43.5% from 2026 to 2035 |
| Base Year For Estimation | 2025 |
| Actual Estimates/Historical Data | 2020-2025 |
| Forecast Period | 2026 - 2030 - 2035 |
| Market Representation | Revenue in USD Billion and CAGR from 2026 to 2035 |
| Segments Covered | Offering, Deployment, Technology, Network Function, End-Use Industry |
| Regional Scope | Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa |
| Country Scope | The countries covered in the report are Australia, Brazil, China, France, Germany, India, ... |
| Key Companies Profiled | Huawei Technologies Co. Ltd., Intel Corporation, Cisco Systems Inc., Qualcomm Incorporated, Broadcom Inc., Hewlett Packard Enterprise Development LP, Fujitsu Limited, NVIDIA Corporation, Ericsson, Nokia Corporation, Marvell Technology Inc., Arista Networks Inc., Ciena Corporation, Extreme Networks Inc., Cloudflare Inc., ADLINK Technology Inc., Nexcom International Co. Ltd., EdgeConneX Inc., Versa Networks Inc., Edgeworx Inc. |
| Customization Scope | Request for Customization |
| Pricing And Purchase Options | Explore Purchase Options |
