
Agentic AI: Advancing Autonomous Networks
Telecom networks are becoming too vast, too dynamic, and too complex for traditional operations. The next wave of transformation is already underway: Agentic AI—a new class of intelligent, autonomous software agents poised to redefine how networks are monitored, optimized, and managed. This extensive report provides a comprehensive, vendor‑neutral analysis available today of how Agentic AI is reshaping telecom operations, from early production use cases to long‑term architectural implications.
This 50-page analysis cuts through the hype and highlights where real value is being created. Operators worldwide are deploying AI‑driven agents to accelerate fault isolation, enhance RAN performance, streamline provisioning, and reduce operational noise. Early adopters such as BT Group and NTT DOCOMO are already achieving significant, measurable outcomes: faster incident resolution, improved change success rates, and dramatic reductions in diagnostic effort. These proof points signal the beginning of a wider shift—from reactive human‑driven operations to intelligent, semi-autonomous networks powered by structured data, digital twins, and intent‑based control loops.
The report also reveals a clear industry trajectory. Over the next five years, Agentic AI spending in telecom is forecast to soar from $92M in 2025 to $6.2B by 2030. Momentum is strongest in service management, digital enablement, network optimization, and security—domains where bounded autonomy and high-quality data foundations can deliver immediate ROI.
Crucially, the report provides practical guidance for CSP leaders: where to invest, how to evaluate suppliers, what capabilities truly matter, and how to avoid the pitfalls that have stalled automation initiatives in the past. It also breaks down the emerging supplier landscape—from hyperscalers to NEPs and OSS specialists—highlighting the platforms and architectures best positioned to deliver safe, scalable, agent‑driven automation.
If you want to understand where autonomous networking is really headed, what’s working today, and how to prepare your organization for the next phase of AI‑enabled operations, this report is essential reading.
Companies referenced include: Microsoft, AWS, Google Cloud, Nokia, Oracle, Ericsson, Huawei, Ciena, Amdocs, Netcracker, NETSCOUT, BT Group, NTT DOCOMO
Download the full report to access the detailed insights, forecasts, and recommendations.