HERE and Esri partner on AI-ready geospatial analytics
HERE Technologies and Esri have formalised a three-year agreement to jointly develop location-based analytics and visualisation capabilities aimed at enterprise AI use cases. The deal, announced at the Esri User Conference in San Diego, deepens a partnership the two companies say has run for more than two decades, and centres on embedding HERE's mapping, traffic and mobility data more tightly within Esri's ArcGIS platform.
The stated goal is to reduce the friction engineering teams face when integrating large volumes of live and historical geospatial data into analytics pipelines, including those supporting agentic AI workflows. HERE introduced its GIS Data Suite in 2025 as a curated dataset designed for ArcGIS environments; that product now serves as the foundational layer for the capabilities the partnership will develop.
What the deal adds
Chris Handley, Senior Vice President of Product Management at HERE Technologies, said the collaboration would help organisations "more easily access and analyse location data, enabling faster insights and more informed decisions." Richard Cooke, Corporate Director of Global Business Development at Esri, framed the combination as connecting "authoritative data, intuitive mapping, and scalable decision support" within existing customer workflows.
The partnership targets customers across transportation and logistics, the public sector, automotive and high-tech manufacturing. Neither company disclosed financial terms, revenue-sharing arrangements, or named a launch customer for the new analytics capabilities.
Market context
The intersection of geospatial data and AI is attracting significant attention from both established vendors and startups. Organisations running supply-chain optimisation, autonomous vehicle development, urban planning and infrastructure monitoring increasingly need spatial context baked into their AI pipelines rather than bolted on after the fact. Esri holds a dominant position in enterprise GIS, with its ArcGIS platform deployed across government agencies, utilities and Fortune 500 firms globally. HERE competes in the location-data layer alongside TomTom and a growing set of cloud-native mapping providers.
The push toward agentic AI architectures, in which software agents take sequential actions with limited human oversight, raises the stakes for data quality and freshness in geospatial inputs. Stale or low-fidelity map data can produce compounding errors in autonomous decision chains, so the emphasis both parties place on "authoritative" and "trusted" data is commercially relevant rather than merely promotional.
Regulatory and standards read-across
Enterprise geospatial data handling sits at the intersection of several regulatory frameworks. Public-sector customers in the EU operate under GDPR constraints on mobility and movement data, while critical-infrastructure operators in scope for NIS2 face additional requirements around the integrity and availability of operational data sources. For US federal deployments, FedRAMP authorisation of the underlying cloud infrastructure remains a procurement prerequisite. Neither HERE nor Esri addressed these considerations in the release, though both companies have existing federal and government-facing business lines that will be relevant as the new analytics capabilities reach those buyers.
The partnership's three-year horizon also overlaps with the phased enforcement timeline of the EU AI Act, which imposes transparency and documentation requirements on AI systems used in regulated sectors such as transport and public administration. Customers deploying agentic workflows built on this geospatial stack will need to assess where those systems fall in the Act's risk classification.