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AI in 5G Networks Market Report 2026

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    Report

  • 250 Pages
  • February 2026
  • Region: Global
  • The Business Research Company
  • ID: 6226189
The artificial intelligence (AI) in 5G networks market size has grown exponentially in recent years. It will grow from $3.66 billion in 2025 to $4.85 billion in 2026 at a compound annual growth rate (CAGR) of 32.5%. The growth in the historic period can be attributed to increasing deployment of 5g infrastructure, growing demand for network automation, rising adoption of artificial intelligence (AI)-based traffic management, expanding use of edge computing, and growing need for low-latency communication.

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.

This product will be delivered within 1-3 business days.

Table of Contents

1. Executive Summary
1.1. Key Market Insights (2020-2035)
1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
1.3. Major Factors Driving the Market
1.4. Top Three Trends Shaping the Market
2. Artificial Intelligence (AI) in 5G Networks Market Characteristics
2.1. Market Definition & Scope
2.2. Market Segmentations
2.3. Overview of Key Products and Services
2.4. Global Artificial Intelligence (AI) in 5G Networks Market Attractiveness Scoring and Analysis
2.4.1. Overview of Market Attractiveness Framework
2.4.2. Quantitative Scoring Methodology
2.4.3. Factor-Wise Evaluation
Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment and Risk Profile Evaluation
2.4.4. Market Attractiveness Scoring and Interpretation
2.4.5. Strategic Implications and Recommendations
3. Artificial Intelligence (AI) in 5G Networks Market Supply Chain Analysis
3.1. Overview of the Supply Chain and Ecosystem
3.2. List of Key Raw Materials, Resources & Suppliers
3.3. List of Major Distributors and Channel Partners
3.4. List of Major End Users
4. Global Artificial Intelligence (AI) in 5G Networks Market Trends and Strategies
4.1. Key Technologies & Future Trends
4.1.1 Internet of Things (Iot), Smart Infrastructure & Connected Ecosystems
4.1.2 Digitalization, Cloud, Big Data & Cybersecurity
4.1.3 Autonomous Systems, Robotics & Smart Mobility
4.1.4 Industry 4.0 & Intelligent Manufacturing
4.1.5 Immersive Technologies (Ar/Vr/Xr) & Digital Experiences
4.2. Major Trends
4.2.1 Dense Urban Small Cell Deployments
4.2.2 Increasing Adoption of Beamforming and Phased Array Antennas
4.2.3 Expansion of Indoor Mmwave Coverage Solutions
4.2.4 Integration of Fiber-Based Fronthaul and Backhaul Networks
4.2.5 Growing Focus on Network Densification Strategies
5. Artificial Intelligence (AI) in 5G Networks Market Analysis of End Use Industries
5.1 Telecom Operators
5.2 Enterprises
5.3 Government
5.4 Cloud Service Providers
5.5 Other End-Users
6. Artificial Intelligence (AI) in 5G Networks Market - Macro Economic Scenario Including the Impact of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, and Covid and Recovery on the Market
7. Global Artificial Intelligence (AI) in 5G Networks Strategic Analysis Framework, Current Market Size, Market Comparisons and Growth Rate Analysis
7.1. Global Artificial Intelligence (AI) in 5G Networks PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
7.2. Global Artificial Intelligence (AI) in 5G Networks Market Size, Comparisons and Growth Rate Analysis
7.3. Global Artificial Intelligence (AI) in 5G Networks Historic Market Size and Growth, 2020-2025, Value ($ Billion)
7.4. Global Artificial Intelligence (AI) in 5G Networks Forecast Market Size and Growth, 2025-2030, 2035F, Value ($ Billion)
8. Global Artificial Intelligence (AI) in 5G Networks Total Addressable Market (TAM) Analysis for the Market
8.1. Definition and Scope of Total Addressable Market (TAM)
8.2. Methodology and Assumptions
8.3. Global Total Addressable Market (TAM) Estimation
8.4. TAM vs. Current Market Size Analysis
8.5. Strategic Insights and Growth Opportunities from TAM Analysis
9. Artificial Intelligence (AI) in 5G Networks Market Segmentation
9.1. Global Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
Software, Hardware, Services
9.2. Global Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
on-Premises, Cloud
9.3. Global Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
Standalone 5G, Non-Standalone 5G
9.4. Global Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
Network Optimization, Network Security, Predictive Maintenance, Traffic Management, Other Applications
9.5. Global Artificial Intelligence (AI) in 5G Networks Market, Segmentation by End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
Telecom Operators, Enterprises, Government, Other End-Users
9.6. Global Artificial Intelligence (AI) in 5G Networks Market, Sub-Segmentation of Software, by Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
Network Management Tools, Predictive Analytics Platforms, Traffic Optimization Software, AI-Orchestrated Network Slicing Solutions
9.7. Global Artificial Intelligence (AI) in 5G Networks Market, Sub-Segmentation of Hardware, by Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
Artificial Intelligence (AI)-Enabled Chipsets, Intelligent Edge Devices, Network Automation Controllers, High-Performance Computing Units
9.8. Global Artificial Intelligence (AI) in 5G Networks Market, Sub-Segmentation of Services, by Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
Deployment and Integration, Consulting Services, Support and Maintenance, Training and Optimization
10. Artificial Intelligence (AI) in 5G Networks Market Regional and Country Analysis
10.1. Global Artificial Intelligence (AI) in 5G Networks Market, Split by Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
10.2. Global Artificial Intelligence (AI) in 5G Networks Market, Split by Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
11. Asia-Pacific Artificial Intelligence (AI) in 5G Networks Market
11.1. Asia-Pacific Artificial Intelligence (AI) in 5G Networks Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
11.2. Asia-Pacific Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
12. China Artificial Intelligence (AI) in 5G Networks Market
12.1. China Artificial Intelligence (AI) in 5G Networks Market Overview
Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
12.2. China Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
13. India Artificial Intelligence (AI) in 5G Networks Market
13.1. India Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
14. Japan Artificial Intelligence (AI) in 5G Networks Market
14.1. Japan Artificial Intelligence (AI) in 5G Networks Market Overview
Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
14.2. Japan Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
15. Australia Artificial Intelligence (AI) in 5G Networks Market
15.1. Australia Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
16. Indonesia Artificial Intelligence (AI) in 5G Networks Market
16.1. Indonesia Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
17. South Korea Artificial Intelligence (AI) in 5G Networks Market
17.1. South Korea Artificial Intelligence (AI) in 5G Networks Market Overview
Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
17.2. South Korea Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
18. Taiwan Artificial Intelligence (AI) in 5G Networks Market
18.1. Taiwan Artificial Intelligence (AI) in 5G Networks Market Overview
Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
18.2. Taiwan Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
19. South East Asia Artificial Intelligence (AI) in 5G Networks Market
19.1. South East Asia Artificial Intelligence (AI) in 5G Networks Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
19.2. South East Asia Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
20. Western Europe Artificial Intelligence (AI) in 5G Networks Market
20.1. Western Europe Artificial Intelligence (AI) in 5G Networks Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
20.2. Western Europe Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
21. UK Artificial Intelligence (AI) in 5G Networks Market
21.1. UK Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
22. Germany Artificial Intelligence (AI) in 5G Networks Market
22.1. Germany Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
23. France Artificial Intelligence (AI) in 5G Networks Market
23.1. France Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
24. Italy Artificial Intelligence (AI) in 5G Networks Market
24.1. Italy Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
25. Spain Artificial Intelligence (AI) in 5G Networks Market
25.1. Spain Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
26. Eastern Europe Artificial Intelligence (AI) in 5G Networks Market
26.1. Eastern Europe Artificial Intelligence (AI) in 5G Networks Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
26.2. Eastern Europe Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
27. Russia Artificial Intelligence (AI) in 5G Networks Market
27.1. Russia Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
28. North America Artificial Intelligence (AI) in 5G Networks Market
28.1. North America Artificial Intelligence (AI) in 5G Networks Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
28.2. North America Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
29. USA Artificial Intelligence (AI) in 5G Networks Market
29.1. USA Artificial Intelligence (AI) in 5G Networks Market Overview
Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
29.2. USA Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
30. Canada Artificial Intelligence (AI) in 5G Networks Market
30.1. Canada Artificial Intelligence (AI) in 5G Networks Market Overview
Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
30.2. Canada Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
31. South America Artificial Intelligence (AI) in 5G Networks Market
31.1. South America Artificial Intelligence (AI) in 5G Networks Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
31.2. South America Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
32. Brazil Artificial Intelligence (AI) in 5G Networks Market
32.1. Brazil Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
33. Middle East Artificial Intelligence (AI) in 5G Networks Market
33.1. Middle East Artificial Intelligence (AI) in 5G Networks Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
33.2. Middle East Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
34. Africa Artificial Intelligence (AI) in 5G Networks Market
34.1. Africa Artificial Intelligence (AI) in 5G Networks Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
34.2. Africa Artificial Intelligence (AI) in 5G Networks Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Network Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
35. Artificial Intelligence (AI) in 5G Networks Market Regulatory and Investment Landscape
36. Artificial Intelligence (AI) in 5G Networks Market Competitive Landscape and Company Profiles
36.1. Artificial Intelligence (AI) in 5G Networks Market Competitive Landscape and Market Share 2024
36.1.1. Top 10 Companies (Ranked by revenue/share)
36.2. Artificial Intelligence (AI) in 5G Networks Market - Company Scoring Matrix
36.2.1. Market Revenues
36.2.2. Product Innovation Score
36.2.3. Brand Recognition
36.3. Artificial Intelligence (AI) in 5G Networks Market Company Profiles
36.3.1. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
36.3.2. Google LLC Overview, Products and Services, Strategy and Financial Analysis
36.3.3. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
36.3.4. Samsung Electronics Co. Ltd Overview, Products and Services, Strategy and Financial Analysis
36.3.5. Huawei Technologies Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
37. Artificial Intelligence (AI) in 5G Networks Market Other Major and Innovative Companies
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.
38. Global Artificial Intelligence (AI) in 5G Networks Market Competitive Benchmarking and Dashboard39. Key Mergers and Acquisitions in the Artificial Intelligence (AI) in 5G Networks Market
40. Artificial Intelligence (AI) in 5G Networks Market High Potential Countries, Segments and Strategies
40.1 Artificial Intelligence (AI) in 5G Networks Market in 2030 - Countries Offering Most New Opportunities
40.2 Artificial Intelligence (AI) in 5G Networks Market in 2030 - Segments Offering Most New Opportunities
40.3 Artificial Intelligence (AI) in 5G Networks Market in 2030 - Growth Strategies
40.3.1 Market Trend Based Strategies
40.3.2 Competitor Strategies
41. Appendix
41.1. Abbreviations
41.2. Currencies
41.3. Historic and Forecast Inflation Rates
41.4. Research Inquiries
41.5. About the Analyst
41.6. Copyright and Disclaimer

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.

Reasons to Purchase:

  • Gain a truly global perspective with the most comprehensive report available on this market covering 16 geographies.
  • Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, inflation and interest rate fluctuations, and evolving regulatory landscapes.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
  • Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
  • Suitable for supporting your internal and external presentations with reliable high-quality data and analysis
  • Report will be updated with the latest data and delivered to you along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

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; 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

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