Skip to main content

France Telecom Downplays Need for Speed

Following France Telecom's recent announcement of an expected 2005 revenue shortfall, Strategy Analytics today published, "France Telecom Targets FMC and Downplays Need for Speed as VoIP and LLU Threaten Growth," highlighting the wider implications for the telecom industry.

The key reasons for the expected France Telecom revenue shortfall are rapid growth in competitors' unbundling local loops and VoIP subscriber numbers. The company is now downplaying the importance of investing in next generation FTTH and VDSL2 technologies, which are so heavily promoted by telecom vendors such as Alcatel, Ericsson, and Siemens.

"France Telecom's caution over high-speed Internet suggests that telecom vendors will struggle to meet sales targets with some incumbents," says Senior Analyst Martin Olausson. "If other markets develop similar competitive profiles to the advanced French market, telecom operators, such as BT and Deutsche Telekom, may come under similar pressure to re-state their previously announced Next Generation Network plans."

Popular posts from this blog

AI Agents Have Memory. Where is The Security?

Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...