Why are Network Digital Twins in the Spotlight Right Now, and How Can Celfocus Contribute?

A Network Digital Twin is a virtual, real-time replica of a physical telecommunications network, designed to mirror its structure, behavior, and performance.

By integrating data from sources like network sensors, IoT devices, and operational systems, it creates a dynamic, high-fidelity model that evolves alongside the physical network.

This digital representation allows telecom operators to simulate scenarios, monitor performance, predict potential issues, and optimize configurations in a risk-free environment.

Autonomous Networks

With the ability to provide real-time insights, enable predictive analytics, and support cross-domain visibility, Network Digital Twins are pivotal in driving autonomous networks. They empower operators to anticipate failures, streamline change management, enhance energy efficiency, and improve customer experiences, ultimately reducing operational costs and minimizing downtime.

Celfocus, a European high-tech system integrator, plays a significant role in advancing Network Digital Twins by harnessing its expertise in AI, automation, and telecom operations. Through strategic partnerships with industry leaders like TM Forum, ZTE, AWS, Google, and Microsoft, Celfocus drives innovation and shapes the future of autonomous networks.

For instance, their contribution to TM Forum’s report on digital twins underscores their thought leadership, offering actionable insights into how these technologies enhance operational efficiency. By integrating AI and automation, Celfocus enables intelligent correlation and predictive analytics within digital twins, allowing operators to optimize network performance and make data-driven decisions in real time.

A notable example of Celfocus’ impact is their collaboration with Telenet, a Belgian operator, to develop a Network Digital Twin as part of a future-proof network platform. This solution automated 90% of service impact assessments for the transport network, slashing query times from two hours to six minutes.

Graph Technology

By leveraging graph technology to map network topology and incorporating AI-ready data foundations, Celfocus ensured real-time decision-making and fostered trust among engineers, transforming them into hybrid experts with both network and data skills. This project highlights Celfocus’ ability to deliver practical, high-impact solutions that address complex telecom challenges.

Celfocus further advances the adoption of Network Digital Twins by driving the industry toward Level 4 and 5 autonomous networks, as defined by TM Forum’s framework. Their solutions enable closed-loop automation, where digital twins continuously monitor and optimize physical networks, supporting use cases like failure prediction, risk assessment, and energy-efficient operations.

At global events like MWC 2025 and FutureNet World 2025, Celfocus showcased their expertise through presentations, such as one by Executive Director Carla Penedo and Telenet’s Stijn Eeckhaut, emphasizing the role of digital twins as catalysts for autonomous networks. Additionally, their work with hyperscalers like Google Cloud enhances the scalability and security of digital twin solutions by migrating cognitive network components to cloud environments.

Industry Evolution

Through these efforts, Celfocus empowers telecom operators to visualize network assets, test new services, and implement changes with minimal risk, ultimately reducing costs and service disruptions. Their tailored solutions, as seen in collaborations with clients like Vodafone, demonstrate a commitment to addressing specific industry challenges, such as managing network complexity and integrating legacy systems.

By combining technical innovation, strategic partnerships, and a focus on data quality, Celfocus is at the forefront of transforming telecom operations, making Network Digital Twins a cornerstone of the industry’s evolution toward autonomy and efficiency.