Episode 09 - Leveraging data to guide CPOs in their land-grabbing efforts

Why Data Is Becoming The Most Valuable Asset For Charge Point Operators

‍
Deploying EV charging infrastructure has become far more complex than simply finding available land. As competition intensifies and the number of Charge Point Operators (CPOs) grows across Europe, selecting the right location can determine whether a charging site becomes highly profitable—or remains underutilized.

‍
Today, successful infrastructure rollout depends on understanding traffic flows, EV adoption trends, grid availability, local demographics, nearby amenities, and competitive charging networks. Artificial intelligence and big data are making it possible to combine these variables and help CPOs make faster, more informed investment decisions.

‍
In this episode of The Charge Point Podcast, Christophe Lephilibert speaks with Pavol Magic, CEO and Co-Founder of Zoniq, about how data is transforming EV charging infrastructure planning. Together, they explore how AI supports site selection, why data sharing across the e-mobility ecosystem matters, and how predictive analytics can help accelerate Europe's charging rollout while improving investment decisions for CPOs.

What You Will Learn From This Episode

‍
As Europe's charging network expands from one million public charging points today toward the millions still required, data-driven decision-making is becoming a competitive advantage for Charge Point Operators.

‍

Key learnings:

‍

• Why EV charging infrastructure rollout increasingly depends on data rather than intuition when selecting profitable charging locations.
• How artificial intelligence and big data help Charge Point Operators identify high-potential sites, optimize rollout strategies, and reduce investment risk.
• Why Europe still needs millions of additional public charging points, making efficient site selection critical for future market growth.
• How data brokers enable secure information sharing between CPOs, mobility providers, and other stakeholders to improve planning and operational efficiency.
• Why understanding traffic patterns, driver behavior, existing charging infrastructure, and local demand leads to smarter long-term investment decisions.
• How industry-wide data collaboration can accelerate EV adoption while helping operators build more reliable and better-utilized charging networks.