Telecom operators investing in Agentic AI while Self Organizing Network AI market set for rapid growth
Telecom companies are planning to use Agentic AI [1.] for customer experience and network automation. A recent RADCOM survey shows 71% of network operators plan to deploy agentic AI in 2026, while 14% have already begun, prioritizing areas that directly influence trust and customer satisfaction: security and fraud prevention (57%) and customer service and support (56%). The top use cases are automated customer complaint resolution and autonomous fault resolution.
Operators are betting on agentic AI to remove friction before customers feel it, with the highest-value use cases reflecting this shift, including:
- 57% – automated customer complaint resolution
- 54% – autonomous fault resolution before it impacts service
- 52% – predicting experience to prevent churn
This technology is shifting networks from simply detecting issues to preventing them before customers notice. In contact centers, 2026 is expected to see a rise in human and AI agent collaboration to improve efficiency and customer service.
Note 1. Agentic AI refers to autonomous artificial intelligence systems that can perceive, reason, plan, and act independently to achieve complex goals with minimal human intervention, going beyond simple command-response to manage multi-step tasks, use various tools, and adapt to new information for proactive automation in dynamic environments. These intelligent agents function like digital coworkers, coordinating internally and with other systems to execute sophisticated workflows.
……………………………………………………………………………………………………………………………………………………………………………………………
ResearchAndMarkets.com has just published a “Self-Organizing Network Artificial Intelligence (AI) Global Market Report 2025.” The market research firm says that the self-organizing network AI [2.] is forecast to expand from $5.19 billion in 2024 to $6.18 billion in 2025, at a CAGR of 19.2%. This surge is driven by the integration of machine learning and AI in telecom networks, smart network management investment, and the growing demand for features like self-healing and self-optimization, as well as predictive maintenance technologies.driven by the expansion of 5G, increasing automation demands, and AI integration for network optimization. Opportunities include AI-driven RRM and predictive maintenance. Asia-Pacific emerges as the fast-growing region, boosting telecom innovations amid global trade shifts.
Note 2. Self-organizing network AI leverages software, hardware, and services to dynamically optimize and manage telecom networks, applicable across various network types and deployment modes. The market encompasses a broad range of solutions, from network optimization software to AI-driven planning products, underscoring its expansive potential.
Looking further ahead, the market is expected to reach $12.32 billion by 2029, with a CAGR of 18.8%. Key drivers during this period include heightened demand for automation, increased 5G deployments, and growing network densification, accompanied by rising data traffic and subscriber numbers. Trends such as AI-driven network automation advancements, machine learning integration for real-time optimization, and the rise of generative AI for analytics are reshaping the landscape.
The expansion of 5G networks plays a pivotal role in propelling this growth. These networks, characterized by high-speed data and ultra-low latency, significantly enhance the capabilities of self-organizing network AI. The integration facilitates real-time data processing, supporting automation, optimization, and predictive maintenance, thereby improving service quality and user experience. A notable development in 2023 saw UK outdoor 5G coverage rise to 85-93%, reflecting growing demand and technological advancement.
Huawei Technologies and other major tech companies, are pioneering innovative solutions like AI-driven radio resource management (RRM), which optimizes network performance and enhances user experience. These solutions rely on AI and machine learning for dynamic spectrum and network resource management. For instance, Huawei’s AI Core Network, introduced at MWC 2025, marks a substantial leap in intelligent telecommunications, integrating AI into core systems for seamless connectivity and real-time decision-making.
Strategic acquisitions are also shaping the market, exemplified by Amdocs Limited acquiring TEOCO Corporation in 2023 to bolster its network optimization and analytics capabilities. This acquisition aims to enhance end-to-end network intelligence and operational efficiency.
Leading players in the market include Huawei, Cisco Systems Inc., Qualcomm Incorporated, and many others, driving innovation and competition. Europe held the largest market share in 2024, with Asia-Pacific poised to be the fastest-growing region through the forecast period.
References:
Operator Priorities for 2026 and Beyond: Data, Automation, Customer Experience
https://uk.finance.yahoo.com/news/self-organizing-network-artificial-intelligence-105400706.html
Ericsson integrates agentic AI into its NetCloud platform for self healing and autonomous 5G private network
Agentic AI and the Future of Communications for Autonomous Vehicles (V2X)
IDC Report: Telecom Operators Turn to AI to Boost EBITDA Margins
Omdia: How telcos will evolve in the AI era
Palo Alto Networks and Google Cloud expand partnership with advanced AI infrastructure and cloud security
One thought on “Telecom operators investing in Agentic AI while Self Organizing Network AI market set for rapid growth”
Leave a Reply
The integration of Agentic AI into self-organizing networks represents a massive leap forward for the telecommunications industry and overall connectivity. This autonomous approach to network management will undoubtedly drive unprecedented growth and operational efficiency in the coming years.
For organizations seeking to lead in this AI technological shift, Zcodia Technologies provides the necessary expertise and innovative solutions.