TomTom Integrated Location Data Into Microsoft Fabric

The partnership enables AI agents to utilize real-world spatial data through Microsoft's analytics platform.

Updated on Sept. 30, 2026 in Artificial Intelligence

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TomTom has integrated its spatial intelligence services into Microsoft Fabric, allowing enterprise AI agents to access location data for more accurate decision-making. AI Illustration. Upload story photo >

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TomTom has expanded its collaboration with Microsoft by integrating its location intelligence services into Microsoft Fabric. This connection allows users to access spatial data directly within Microsoft OneLake for advanced analytics.

Why it matters

AI agents require precise real-world context to perform complex business tasks effectively. By bridging spatial data with enterprise analytics, companies can build more informed, location-aware automated systems.

TomTom's location intelligence is now available via the Microsoft IQ Sharing preview and connects directly to Microsoft OneLake. The services are also Azure MACC eligible and integrate with Microsoft Foundry for AI agent development.

The players

TomTom

An Amsterdam-based multinational company known for its mapping, navigation, and location technology products.

Microsoft

A global technology corporation that provides the Fabric analytics platform and OneLake data storage solution.

The details

Customers can now combine TomTom's spatial datasets with their own private data stored in OneLake. This information is subsequently funneled into Microsoft Foundry to provide the geographical grounding necessary for high-level AI decision-making.

Timeline

  1. September 30, 2026: TomTom announced its integration with Microsoft Fabric.

The Tech Race

This integration follows the pattern set by the Microsoft Fabric analytics platform in aggregating disparate data silos into unified AI workflows. It represents a broader industry shift toward equipping enterprise AI with the specific spatial context needed for logistics and supply chain optimization.

Developers and data analysts can now incorporate location-based insights into their automated AI workflows without manually bridging disconnected data sources. This simplifies the process of creating location-aware applications that drive business-critical decisions.

The takeaway

Integrating spatial intelligence directly into data platforms reduces the latency and error rates of automated business processes. Future AI systems will likely rely on these deeper connections to handle real-world navigation and logistical tasks.

What happens next

TomTom will demonstrate its new IQ Sharing capabilities during the upcoming FabCon Europe 2026 event in Barcelona.

Further reading

Learn more about the latest developments in Artificial Intelligence.

Live Poll

Do you believe AI tools that incorporate real-world location data will improve business decision-making?