Featuring market attractiveness scoring, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, deeper supply chain intelligence, emerging startup tracking, and granular product-level insights, The Business Research Company’s 2026 market reports are built to deliver research that is both more actionable and more strategically valuable.
Artificial Intelligence (AI) In 5G Networks Market Revenue Outlook: What CAGR Lies Ahead Through 2030?
The market size for artificial intelligence (AI) in 5G networks has experienced significant expansion in recent years. This market is projected to grow from $3.66 billion in 2025 to $4.85 billion in 2026, at a compound annual growth rate (CAGR) of 32.5%. Historically, this growth can be attributed to the increasing deployment of 5G infrastructure, the rising demand for network automation, the growing adoption of artificial intelligence (AI)-based traffic management, the expanding use of edge computing, and the increasing need for low-latency communication.
The market for artificial intelligence (AI) in 5G networks is projected to experience substantial expansion in the coming years, reaching a valuation of $14.88 billion by 2030, with a compound annual growth rate (CAGR) of 32.3%. This anticipated growth stems from factors such as the increasing integration of artificial intelligence (AI) for autonomous network operations, a rising demand for intelligent network slicing, increased investment in artificial intelligence (AI)-driven predictive maintenance, the expansion of ultra-reliable low-latency networks, and the growing uptake of artificial intelligence (AI)-enabled edge analytics. Key trends during this period encompass technological advancements in artificial intelligence (AI)-powered 5G optimization, ongoing innovations in autonomous network management, the evolution of edge artificial intelligence (AI) frameworks, increasing research and development efforts in radio access network intelligence, and progress in self-learning network algorithms.
Get A Free Sample Report With In-Depth Market Insights:
Artificial Intelligence (AI) In 5G Networks Market Expansion Drivers: What’s Shaping Future Growth?
The increasing integration of 5G networks is anticipated to stimulate the expansion of the artificial intelligence in 5G networks market moving ahead. As the newest mobile connectivity generation, 5G networks offer rapid data transfer, extremely low latency, and enhanced capacity, facilitating advanced applications like immersive gaming and the internet of things. This growth in 5G network adoption stems from the escalating need for quick, low-latency connections to power real-time digital services. Artificial intelligence in 5G networks aids the widespread use of 5G technology by optimizing network performance and bolstering reliability. This allows for smart traffic handling and automated problem-solving, providing users and businesses with quicker, more efficient, and uninterrupted connectivity. As an illustration, in December 2023, data from the Office of Communications (Ofcom), a UK-based regulator and competition authority, indicated that outdoor 5G coverage from at least one mobile network operator reached 85-93% in 2023, up from 67-78% in 2022. Consequently, the growing uptake of 5G networks is fueling the expansion of the artificial intelligence in 5G networks market.
Artificial Intelligence (AI) In 5G Networks Market Segment Outlook: Which Categories Are Growing Fastest?
The artificial intelligence (AI) in 5g networks market covered in this report is segmented –
1) By Component: Software, Hardware, Services
2) By Deployment Mode: On-Premises, Cloud
3) By Network Type: Standalone 5G, Non-Standalone 5G
4) By Application: Network Optimization, Network Security, Predictive Maintenance, Traffic Management, Other Applications
5) By End-User: Telecom Operators, Enterprises, Government, Other End-Users
Subsegments:
1) By Software: Network Management Tools, Predictive Analytics Platforms, Traffic Optimization Software, AI-Orchestrated Network Slicing Solutions
2) By Hardware: Artficial Intelligence (AI) -Enabled Chipsets, Intelligent Edge Devices, Network Automation Controllers, High-Performance Computing Units
3) By Services: Deployment And Integration, Consulting Services, Support And Maintenance, Training And Optimization
Artificial Intelligence (AI) In 5G Networks Market Strategic Trends: What Defines The Next Growth Phase?
Key companies operating within the artificial intelligence in 5G networks market are concentrating on developing sophisticated AI-driven solutions, such as generative AI-powered assistants, to enhance operational efficiency, improve service reliability, and minimize manual intervention. Generative AI-powered assistants refer to advanced software systems that leverage natural language processing and machine learning to automate, simplify, and optimize complex network management tasks. For instance, in January 2025, Ericsson, a Sweden-based telecommunications and networking company, introduced the generative AI-powered NetCloud Assistant (ANA). This AI-native assistant is integrated into the Ericsson NetCloud platform and utilizes generative AI for conversational interaction, allowing operators to manage 5G networks using simple language commands. Its capabilities include automated troubleshooting, proactive anomaly detection, and intelligent recommendations, enabling seamless network optimization and issue resolution with minimal operator intervention. It also incorporates advanced data analytics and energy-efficient operations, contributing to improved network performance and reduced operational costs for communication service providers.
Artificial Intelligence (AI) In 5G Networks Market Competitive Overview And Top Companies
Major companies operating in the artificial intelligence (AI) in 5g networks market are Amazon Web Services Inc., Google LLC, Microsoft Corporation, Samsung Electronics Co. Ltd, Huawei Technologies Co. Ltd., International Business Machines Corporation, NVIDIA Corporation, Cisco Systems Inc., Intel Corporation, Oracle Corporation, Qualcomm Technologies Inc., Telefonaktiebolaget LM Ericsson, NEC Corporation, Nokia Corporation, ZTE Corporation, Rakuten Symphony Inc., Juniper Networks Inc., Amdocs Limited, Ciena Corporation, Splunk Inc., Mavenir Systems Inc., Palantir Technologies Inc., AsiaInfo Technologies Limited, Spirent Communications plc, Subex Limited
View The Full Artificial Intelligence (AI) In 5G Networks Market Report:
Artificial Intelligence (AI) In 5G Networks Market Top Region: Where Does Most Revenue Come From?
North America was the largest region in the artificial intelligence (AI) in 5G networks 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) in 5g networks market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Reach Out To Our Team:
The Business Research Company: https://www.thebusinessresearchcompany.com/
Americas: +1 310-496-7795
Asia: +44 7882 955267 & +91 8897263534
Europe: +44 7882 955267
Email us at: marketing@tbrc.info
Follow us on:
LinkedIn: https://in.linkedin.com/company/the-business-research-company
YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ
Global Market Model: https://www.thebusinessresearchcompany.com/global-market-model
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.
