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Artificial Intelligence (AI)-Powered Edge Networking Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The artificial intelligence (AI)-powered edge networking market has experienced substantial expansion in its size over recent years. This market is projected to expand from $19.42 billion in 2025 to $27.86 billion by 2026, exhibiting a compound annual growth rate (CAGR) of 43.5%. Historically, this expansion has been driven by factors such as the growth of IoT devices, the early adoption of edge computing, difficulties posed by network congestion, the need for low latency processing, and the development of distributed network architectures.
The artificial intelligence (AI)-powered edge networking market is anticipated to experience significant expansion in the coming years. It is projected to grow to $115.64 billion in 2030, at a compound annual growth rate (CAGR) of 42.7%. This growth in the forecast period is largely driven by the expansion of 5G networks, connectivity demands for autonomous systems, the increasing presence of smart factories, the need for AI-driven network management, and requirements for decentralized data processing. Key trends expected during this period include real-time edge intelligence, AI-driven network optimization, edge-based cybersecurity analytics, low-latency network automation, and distributed AI processing.
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Artificial Intelligence (AI)-Powered Edge Networking Market Demand Drivers: What Is Fueling Industry Growth?
The increasing adoption of 5G technology is projected to drive the growth of the artificial intelligence (AI)-powered edge networking market. 5G technology, the fifth-generation wireless network, enables ultra-fast speeds, low latency, and extensive connectivity for advanced digital applications. This surge in 5G adoption stems primarily from the rising demand for high-speed, low-latency connectivity to support applications such as IoT, autonomous systems, and real-time communication. AI-powered edge networking serves as the intelligent brain at the edge of 5G networks, facilitating faster, smarter, and more reliable connectivity. It ensures that the full potential of 5G’s speed, low latency, and massive device support is actualized in real-world scenarios. For example, in May 2025, Telefonaktiebolaget LM Ericsson, a Sweden-based information and communication technology company, indicated rapid 5G adoption, with subscriptions anticipated to reach nearly 2.9 billion by the end of 2025 and 6.3 billion globally by 2030. Therefore, the expanding adoption of 5G technology is significantly contributing to the expansion of the artificial intelligence (AI)-powered edge networking market.
Artificial Intelligence (AI)-Powered Edge Networking Market Segment Analysis Highlighting Growth Areas
The artificial intelligence (AI)-powered edge networking market covered in this report is segmented –
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 Maintenance
Artificial Intelligence (AI)-Powered Edge Networking Market Innovation Trends: Which Developments Are Transforming The Industry?
Leading companies in the artificial intelligence (AI)-powered edge networking market are concentrating on creating advanced solutions, such as AI-native edge solutions, to improve real-time data processing and decision-making capabilities at the network edge. An AI-native edge solution is fundamentally a system constructed with integrated artificial intelligence features designed to execute real-time data processing and informed decision-making directly at the network edge, thereby supporting edge networking through capabilities like low-latency performance, smart traffic management, and decreased dependency on centralized cloud infrastructure. For instance, in October 2024, Juniper Networks, Inc., a US-based company known for designing, developing, and selling network products and services globally, introduced a secure AI-native edge solution. This platform unifies networking and security operations through a singular cloud and mist AI engine. It streamlines configuration, management, and threat detection across wired, wireless, SD-WAN, and NAC domains. The solution facilitates quicker, more potent security responses with better visibility and control.
Artificial Intelligence (AI)-Powered Edge Networking Market Leading Companies: Who Holds Significant Market Presence?
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.
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Artificial Intelligence (AI)-Powered Edge Networking Market Leading Geography: Which Region Generates The Most Revenue?
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 the artificial intelligence (AI)-powered edge networking market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.