Discover key CEI use cases

This interactive map provides a dynamic overview of Cloud-Edge-IoT (CEI) use cases developed within Europe’s Large-Scale Pilots O-CEI and COP-PILOT, offering a concrete entry point into the CEI ecosystem.

The tool helps users understand how innovation is being translated into real-world applications across key sectors such as energy, mobility, logistics and agrifood. Each use case reflects ongoing efforts to address pressing challenges, from grid optimisation and sustainable mobility to industrial efficiency and data-driven agriculture, while contributing to Europe’s broader digital and green transition.

The map also highlights the ecosystem of actors behind these innovations, including technology providers, research organisations, industry players and public stakeholders. By visualising their roles and interactions, it helps illustrate how collaboration, interoperability and standardisation enable scalable CEI solutions.

Why this matters: the European CEI market reached approximately €158 billion in 2024 and is expected to grow steadily, driven by increasing demand for real-time data processing, AI-enabled applications and distributed computing architectures. Scaling these solutions, however, requires stronger alignment between technologies, stakeholders and market needs: CEI-Sphere aims to address this gap.

You can use the map to explore use cases by sector, location, stakeholder group or technology maturity level but also to identify key players and partnerships and discover how CEI solutions are evolving from experimentation to large-scale deployment.

The map and results update dynamically as filters are applied.

👉 Interested in contributing or staying informed about new use cases and opportunities?
Use the button below to explore the platform and connect with the CEI-Sphere ecosystem.

Switch use cases view:
O-CEI icon

VaS for Grid Optimisation

Uses V2G, smart grids, and AI to optimise energy use, schedule charging during off-peak hours, utilise dynamic pricing, and grid balancing for sustainable vehicle interactions.
Pilot 2: Software Defined Vehicle for VaS in Urban Areas
O-CEI icon

VaS for Fleet V2G Integration

Uses AI to optimise EV charging and energy return via Vehicle-to-Grid (V2G) capabilities, with edge and cloud software supporting fleet-wide data analysis and operations.
Pilot 2: Software Defined Vehicle for VaS in Urban Areas
O-CEI icon

VaS for Sustainability

It leverages AI utilities from the O-CEI marketplace to optimise EV powertrain efficiency, minimise carbon footprints.
Pilot 2: Software Defined Vehicle for VaS in Urban Areas
O-CEI icon

VaS for Vehicle Safety

Enhances vehicle safety with AI-driven system monitoring, OTA updates, advanced cybersecurity, and real-time technologies
Pilot 2: Software Defined Vehicle for VaS in Urban Areas
O-CEI icon

Advanced Load Scheduling

Proactive scheduling for appliances like electric water heaters and space heaters, will enhance grid capacity and user comfort using edge computing and robust connectivity.
Pilot 1: Electric Grid performance optimisation upon RES integration
O-CEI icon

Residential Energy Management

IoT gateways and secure O-CEI utilities empower users to monitor energy use and promote grid flexibility.
Pilot 1: Electric Grid performance optimisation upon RES integration
O-CEI icon

EV and Heat Pump Synchronisation

Synchronising renewable energy for household appliances and EVs ensures comfort and charging availability.
Pilot 1: Electric Grid performance optimisation upon RES integration
O-CEI icon

Wide Smart Grid Optimisation

Seasonal demand patterns are optimised with renewable integration and decentralised learning models.
Pilot 1: Electric Grid performance optimisation upon RES integration
O-CEI icon

Smart Thermal Load Management

Sensor data and smart controls dynamically manage heating for energy efficiency using edge computing.
Pilot 1: Electric Grid performance optimisation upon RES integration
O-CEI icon

Community-Driven Renewable Energy Integration

Prosumers and flexumers to trade energy to optimise consumption and store excess energy using AI-driven tools.
Pilot 1: Electric Grid performance optimisation upon RES integration

Would you like to support use cases development?

Some pilot activities will be carried out in synergy with external actors through open calls. 

These calls provide funding opportunities to support third parties in testing, validating, replicating, or extending pilot solutions, and in some cases developing complementary activities aligned with pilot objectives. 

Each open call has a defined scope and eligibility conditions, so participation may not always relate to an existing use case shown on the map.

 Please consult the open call documentation to understand what is supported in each call at the project websites below.

COP-PILOT Open Calls

COP-PILOT focuses on developing a Collaborative Open Platform (COP) framework that enables end-to-end orchestration of services across diverse industry sectors. The first call was mainly focused on selecting innovators to integrate and pilot solutions within the existing platform framework. The second call is scheduled for the second half of 2026.

Learn more and apply (opens in a new window)

O-CEI Open Calls

 (no active calls now)

The first Open Call was focused on looking for innovative tech providers (SMEs and Startups) to develop and test their edge solutions in the form of CEI utilities (apps and services). These solutions will tackle real-world challenges identified within the existing large-scale pilots, bringing the technology from concept to impactful application.

Learn more(opens in a new window)