The artificial intelligence (AI) in 5G networks market size is expected to see exponential growth in the next few years. It will grow to $14.88 billion in 2030 at a compound annual growth rate (CAGR) of 32.3%. The growth in the forecast period can be attributed to increasing integration of artificial intelligence (AI) for autonomous network operations, growing demand for intelligent network slicing, rising investment in artificial intelligence (AI)-driven predictive maintenance, expansion of ultra-reliable low-latency networks, and growing adoption of artificial intelligence (AI)-enabled edge analytics. Major trends in the forecast period include technology advancements in artificial intelligence (AI)-powered 5g optimization, continuous innovations in autonomous network management, developments in edge artificial intelligence (AI) frameworks, rising research and developments in radio access network intelligence, and advancements in self-learning network algorithms.
The increasing adoption of 5G networks is expected to drive the growth of the artificial intelligence in 5G networks market in the coming years. 5G networks represent the latest generation of mobile connectivity, offering high-speed data, ultra-low latency, and enhanced capacity to support advanced technologies such as immersive gaming and the Internet of Things. This adoption is fueled by growing demand for high-speed, low-latency connections to enable real-time digital applications. Artificial intelligence in 5G networks supports this growth by optimizing network performance and enhancing reliability. It facilitates intelligent traffic management and automated issue resolution, ensuring faster, more efficient, and seamless connectivity for both users and enterprises. For example, in December 2023, the Office of Communications (Ofcom), a UK-based regulator and competition authority, reported that outdoor 5G coverage provided by at least one mobile network operator increased to 85-93% in 2023, up from 67-78% in 2022. Hence, the rising adoption of 5G networks is driving the growth of the artificial intelligence in 5G networks market.
Major companies in the artificial intelligence in 5G networks market are focusing on developing advanced AI-driven solutions, such as generative AI-powered assistants, to enhance operational efficiency, improve service reliability, and minimize manual intervention. Generative AI-powered assistants are sophisticated software systems that leverage natural language processing and machine learning to automate, simplify, and optimize complex network management tasks. For example, in January 2025, Ericsson, a Sweden-based telecommunications and networking company, launched the generative AI-powered NetCloud Assistant (ANA). This AI-native assistant, integrated into the Ericsson NetCloud platform, uses generative AI to interact conversationally, allowing operators to manage 5G networks using simple language commands. It offers automated troubleshooting, proactive anomaly detection, and intelligent recommendations, enabling seamless network optimization and issue resolution with minimal operator input. Additionally, it incorporates advanced data analytics and energy-efficient operations, enhancing network performance and reducing operational costs for communication service providers.
In October 2025, Nokia Corporation, a Finland-based telecommunications and network infrastructure company, acquired the RIC and SMO business from Juniper Networks Inc. for an undisclosed sum. Through this acquisition, Nokia aims to strengthen its Open RAN automation and control capabilities, incorporate experienced talent, and accelerate innovation in its network management and telco cloud solutions. Juniper Networks Inc., a US-based company, provides AI-driven solutions for 5G network management and optimization.
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.
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. The countries covered in the artificial intelligence (AI) in 5g networks market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.
Tariffs have impacted the artificial intelligence in 5g networks market by increasing costs for imported AI-enabled chipsets, network hardware, and high-performance computing units used in 5g infrastructure. Hardware-intensive segments and regions reliant on cross-border semiconductor supply chains, particularly Asia-Pacific and parts of North America, are most affected. These cost pressures can delay large-scale deployments for telecom operators. However, tariffs have also encouraged local manufacturing, regional sourcing strategies, and greater emphasis on software-driven AI solutions, partially offsetting hardware dependency.
Artificial intelligence (AI) in 5G networks refers to the incorporation of AI technologies to automate, optimize, and intelligently manage next-generation network functions. It enhances real-time decision-making, boosts network efficiency, and facilitates dynamic resource utilization across complex architectures. By combining machine learning with advanced connectivity, it enables smarter, faster, and more adaptive 5G network performance.
The main components of artificial intelligence (AI) in 5G networks include software, hardware, and services. Software in AI-enabled 5G networks encompasses platforms, algorithms, network management tools, and applications that analyze data and automate network functions. The deployment modes include on-premises and cloud-based implementations, catering to diverse enterprise and operator needs for scalability, security, and control. The supported network types are standalone (SA) 5G and non-standalone (NSA) 5G. The applications include network optimization, network security, predictive maintenance, traffic management, and other AI-driven use cases, serving a wide range of end-users such as telecom operators, enterprises, government organizations, and others.
The artificial intelligence in 5G networks market consists of revenues earned by entities by providing services such as AI-based network optimization, automated network management, predictive maintenance solutions, intelligent traffic routing, and real-time anomaly detection and security analytics. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence in 5G networks market includes sales of AI-driven network optimization tools, machine learning software platforms, intelligent routing systems, predictive analytics engines, and automated network orchestration solutions. 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.
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.
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Table of Contents
Executive Summary
Artificial Intelligence (AI) In 5G Networks Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence (ai) in 5g networks market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for artificial intelligence (ai) in 5g networks? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) in 5g networks market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component: Software; Hardware; Services2) 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 Solutions2) 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
Companies Mentioned: 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
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this AI in 5G Networks market report include:- 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
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 4.85 Billion |
| Forecasted Market Value ( USD | $ 14.88 Billion |
| Compound Annual Growth Rate | 32.3% |
| Regions Covered | Global |
| No. of Companies Mentioned | 26 |


