Omdia’s latest survey report examines how network operators are adopting automation and AI in their transport network layers, including IP and optical. While progress is steady, CSPs plan to increase their use of automation over the next three years. Automation and AI are complementary: AI enhances automation use cases, and automation strengthens AI effectiveness. As agentic AI—systems designed to operate more autonomously— continues to emerge, operators are looking beyond hype to focus on practical value. In November 2025, Omdia conducted its Year 4 global transport network automation survey, sponsored by Ciena and Cisco. This white paper analyzes the findings, including plans, use cases, drivers, challenges, and expectations for agentic AI.
White Paper
Automation and AI for Transport Networks: 2025 Omdia Survey Analysis
Related
View more insightsBlog
The GCC’s scale across AI future: Connecting GPU clusters across data centers
Ciena’s Omar Alsaied examines why the GCC’s AI ambitions are shifting the network from supporting infrastructure to strategic architecture, as scale across designs help distributed GPU sites operate as one coherent AI training platform.
ReadBlog
Why neoscalers are looking to the Gulf
Ciena’s Mohamed Nwishy explores why the Gulf is emerging as a strategic foundation for neoscalers, where AI ambition, sovereignty, and network-ready infrastructure are converging to turn compute capacity into scalable AI services.
ReadBlog
Scaling AI in Australia: Infrastructure, connectivity, and opportunity
Ciena’s Pradap Rajagopal explores why Australia’s rise as an AI infrastructure hub depends on more than land, energy, and compute. As AI factories scale nationwide, high-capacity optical networks will be critical to moving data, connecting GPUs,
Read