The global Agentic Artificial Intelligence in Telecommunications and Network Management Market reached USD 8.7 billion in 2025 and is forecast to expand from USD 10.4 billion in 2026 to USD 61.8 billion by 2036, registering a compound annual growth rate (CAGR) of 19.5% during the forecast period, according to Fact.MR. Increasing network complexity, growing data volumes, and the need for automated network operations are supporting demand for agentic AI technologies across the telecommunications industry.

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Telecommunications networks generate large volumes of operational data and require continuous monitoring, optimization, fault management, and resource allocation. Agentic AI can support these activities by coordinating multiple tasks, analyzing network conditions, identifying issues, and helping execute operational responses.

As telecom operators modernize their infrastructure and manage increasingly complex networks, AI-driven automation is expected to become an increasingly important component of network management strategies.

Why Is the Agentic AI in Telecommunications and Network Management Market Growing?

According to Fact.MR, several factors are supporting market expansion:

• Increasing complexity of telecommunications networks.
• Growing demand for automated network operations.
• Rising volumes of network and operational data.
• Increasing need for real-time monitoring and optimization.
• Growing focus on network reliability and service performance.
• Increasing adoption of AI across telecommunications operations.

Agentic AI can help telecom operators move beyond isolated automation tasks toward coordinated workflows. AI agents can potentially support network monitoring, fault identification, resource optimization, service assurance, and other connected operational activities.

The continued deployment of advanced network infrastructure is also creating demand for technologies capable of managing complex environments efficiently.

Key Market Numbers

According to Fact.MR:

• Market value in 2025: USD 8.7 billion
• Market value in 2026: USD 10.4 billion
• Forecast market value by 2036: USD 61.8 billion
• Forecast period: 2026–2036
• CAGR: 19.5%

Market Overview

The Agentic Artificial Intelligence in Telecommunications and Network Management Market is expected to experience rapid growth as telecom operators increasingly evaluate AI-driven systems for network automation and operational decision-making.

Traditional network management relies on predefined rules, monitoring systems, and task-specific automation. Agentic AI can extend these capabilities by coordinating multiple processes and responding dynamically to network conditions.

This can be particularly valuable as telecommunications providers manage increasingly distributed infrastructure, growing network traffic, and diverse service requirements. AI-driven systems can support operational teams by helping identify network conditions and coordinate appropriate responses.

Growth Opportunities for AI and Telecom Technology Providers

Industry participants can capitalize on market growth through several strategic initiatives:

• Developing agentic AI platforms for telecom network operations.
• Automating network monitoring and fault management.
• Improving AI-driven network optimization.
• Integrating AI agents with existing network management systems.
• Supporting automated resource allocation and service assurance.
• Developing secure and enterprise-ready AI solutions for telecom operators.

Technology providers that combine advanced AI capabilities with strong network integration, operational controls, security, and human oversight are expected to strengthen their competitive position as telecommunications companies expand AI adoption.

Market Segmentation

By Solution:
The market includes agentic AI platforms, network automation, monitoring and analytics, fault management, resource optimization, service assurance, and related AI-enabled network management solutions.

By Application:
Applications include network monitoring, fault detection, network optimization, resource allocation, service management, predictive maintenance, and operational automation.

By End User:
Demand is expected from telecommunications operators, network service providers, infrastructure companies, data communication providers, and other organizations managing telecommunications networks.

Competitive Landscape

The Agentic Artificial Intelligence in Telecommunications and Network Management Market is becoming increasingly competitive as AI technology providers, telecommunications software companies, network automation specialists, and infrastructure technology providers develop solutions for increasingly complex network environments. Market participants are focusing on autonomous network operations, monitoring, optimization, fault management, service assurance, workflow automation, and integration with existing network management systems.

Key competitive strategies include:

• Developing agentic AI platforms for telecommunications network operations.
• Automating network monitoring and fault-management workflows.
• Expanding AI-driven network optimization capabilities.
• Integrating AI agents with existing network management platforms.
• Supporting automated resource allocation and service assurance.
• Strengthening security, governance, and human-oversight controls.

Technology providers are also focusing on AI systems capable of coordinating multiple network-management tasks rather than handling isolated automation functions. As telecom operators manage increasingly complex infrastructure and growing volumes of operational data, providers offering scalable, secure, and integrated agentic AI solutions are expected to strengthen their competitive position.

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Frequently Asked Questions

What was the Agentic AI in Telecommunications and Network Management Market size in 2025?

According to Fact.MR, the global Agentic Artificial Intelligence in Telecommunications and Network Management Market reached USD 8.7 billion in 2025.

What will the market be worth by 2036?

The market is forecast to reach USD 61.8 billion by 2036.

What is the expected growth rate of the market?

The market is projected to expand at a 19.5% CAGR from 2026 to 2036.

What is driving demand for agentic AI in telecommunications?

Market growth is supported by increasing network complexity, growing operational data volumes, rising demand for automated network management, real-time monitoring requirements, and the need to improve network reliability and service performance.

How can agentic AI be used in network management?

Agentic AI can support network monitoring, fault identification, network optimization, resource allocation, service assurance, predictive maintenance, and other connected operational workflows.

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About Fact.MR

Fact.MR is a global market research and consulting company providing market intelligence, industry forecasts, competitive benchmarking, and strategic insights across technology, legal services, financial services, healthcare, automotive, industrial, and consumer sectors. Its research helps organizations, investors, and business leaders identify emerging opportunities and make informed strategic decisions.