Various industries use FME due to its flexibility and ease of use. Not only are 500+ formats supported, but community members also upload custom content to FME Hub, which is free to access.
Click your industry below to read an example of how users solved a data challenge with FME. Don't see your industry? Try filtering our customer stories to find one closest to your use case.
Airports & Aviation
Vancouver International Airport (YVR) used FME as the data integration backbone for its enterprise digital twin, translating GIS, LiDAR, and infrastructure data into interoperable formats and real-time APIs. This enabled live visibility into assets, maintenance activities, and passenger flows while eliminating data silos across airport systems. By operationalizing spatial data at scale, YVR streamlined airport operations and improved passenger experience, setting a new benchmark for data-driven airport management.
MGN Civil automated its 24/7 drilling QA/QC workflow by using FME to ingest Trimble GPS XML data, validate compliance, and publish near–real-time results to ArcGIS Online dashboards for field crews. The FME-driven pipeline eliminated manual Excel processing that consumed two staff up to six hours per day, reducing turnaround from days to minutes and allowing non-compliant holes to be identified and corrected while the rig was still on site. This avoided costly re-mobilization of equipment and significantly reduced operational risk on a high-volume marine ground improvement project.
tapestry uses FME as the integration and data virtualization layer that synchronizes fragmented PoS and supply-chain data from legacy customer systems into a near–real-time cloud data fabric. By parsing, standardizing, and translating poorly structured retail data at scale, FME enables advanced analytics for retailers and suppliers while supporting burst processing with CPU Engines to control cloud costs. With a single Chief Science Officer and FME, tapestry replaced the need for a four-person engineering team (a 300% gain in resource efficiency) and helps retailers achieve up to a 400% ROI by monetizing their data with partners.
CAE uses FME to automate and standardize the complex spatial data pipelines that power its full-flight simulator visual systems, integrating OpenStreetMap data to generate high-fidelity night and winter flying scenarios. FME replaces manual data transformations with automated workflows that process and distribute multiple outputs from a single data drop. This automation saves the team 2–3 days of effort every month while ensuring consistent, immersive training environments for pilots worldwide.
The University of Oxford and Oxford Eye Hospital use FME to automate the referencing, extraction, and spatial analysis of ophthalmic imaging data to study progressive genetic eye diseases such as choroideremia and retinitis pigmentosa. By applying GIS-based workflows to retinal scans, FME enables repeatable, quantitative analysis of disease progression and treatment effectiveness over time. This automation replaces labor-intensive manual image processing, improves analytical consistency across clinical trials, and helps researchers clearly visualize and communicate results to both clinicians and patients.
North Ayrshire Council used FME as an enterprise integration platform to automate HR data flows across departments and synchronize a centralized employee record with systems such as Microsoft 365 and Salesforce. Event-driven FME workflows replaced manual updates and custom scripts, improving data consistency, reducing security risk, and streamlining onboarding, role changes, and access management. This automation cut administrative overhead, improved licence management, and delivered measurable operational cost savings across the organization.
Luxembourg’s Land Information Department uses FME as its enterprise data orchestration platform to integrate, standardize, and publish cadastral, topographic, and geodetic data across government agencies. FME automates high-volume workflows. including ~750 cadastral extract requests and up to 3,600 INSPIRE and High Value Dataset queries per day, replacing fragmented ETL tools and manual processes with near–real-time delivery. This long-standing automation has significantly reduced administrative effort, ensured EU regulatory compliance, and enabled scalable, sustainable land and resource management at a national level.
The Town of Qualicum Beach uses FME as a no-code automation and integration backbone to modernize local government services, synchronizing data across SharePoint, Esri, Microsoft Power Platform, and AI services. With FME Flow, the Town replaced manual, siloed processes with real-time systems for development tracking, inquiry triage, semantic document search, and AI-assisted digitization of legacy records. These automations are projected to save ~50 staff days per year, deliver up to 94% cost savings on key workflows, and enable a small team to deliver enterprise-scale innovation with existing resources.
RIS uses FME and FME Realize to deliver augmented reality utility visualization that connects BIM and GIS data directly to the field for large-scale transportation and utility projects. FME automates daily BIM data conversions to iPads, while FME Realize enables crews to view underground infrastructure in 3D, align it to the real world, and raise RFIs that trigger backend workflows into systems like Autodesk Construction Cloud. This real-time, field-to-office integration accelerates decision-making, reduces rework, and improves coordination on high-priority regional infrastructure projects.
Racker uses FME to automate and validate data across healthcare, payroll, billing, and identity systems, replacing paper-based and manual processes with compliant, multi-source workflows. FME reduced a four-month therapy billing backlog to one hour, ensures accurate payroll and secure identity management, and streamlines licensing and compliance tracking. These automations have cut administrative effort dramatically, helped keep overhead at just 12% of the annual budget, and allow staff to focus more time on delivering care rather than managing data.
Environment and Climate Change Canada uses FME to automate the transformation, validation, and cataloguing of thousands of datasets for Canada’s Open Government Portal. FME harvests data and metadata via APIs, performs QA/QC across hundreds of formats, and standardizes outputs to meet open data standards without custom code. This automation improves publishing efficiency, reduces errors, and strengthens interdepartmental data sharing and transparency across the federal government.
The Amsterdam-Amstelland Safety Region used FME to integrate dozens of real-time data streams into a digital twin and Common Operational Picture for SAIL Amsterdam, enabling proactive crowd and incident management across land, water, and air. FME standardized and streamed sensor, vessel, traffic, and emergency data via Kafka and WebSockets with low latency, supporting real-time decision-making during a five-day event with 2.5 million visitors. This shared, live operational view helped emergency services predict and prevent incidents, significantly improving public safety coordination at scale.
Pelmorex used FME Flow to rapidly build its Lightning Detection Network, transforming real-time lightning strike data into spatially enabled, styled outputs consumable in Google Earth, ArcGIS, and automated alerts. FME’s streaming and transformation capabilities allowed the platform to be delivered in just three weeks, compared to an estimated six to seven months for a custom-built solution. This accelerated deployment gives insurers, utilities, and government agencies immediate access to actionable lightning intelligence for critical decision-making.
Infrabel used FME to automate the conversion of more than 200 disconnected rail schematics into a single, validated topological network linked to real-world coordinates. FME workflows scan AutoCAD drawings, detect and correct broken connections, and perform weekly automated updates, replacing error-prone manual linking. This automation significantly reduced GIS and drafting effort, exceeded quality targets, and established a scalable digital foundation for smarter railway planning and operations across Belgium’s rail network.
FortisBC uses FME as an enterprise automation platform to manage and validate high-volume spatial and operational data across gas and electric networks serving 1.2 million+ customers. FME automates change detection for archaeological and parcel datasets, keeps Call Before You Dig boundaries current, and replaces multi-day and multi-month manual processes with on-demand workflows. These automations improve data accuracy, protect heritage sites, prevent excavation damage by more than 60%, and free teams to deliver safer, more reliable energy services across British Columbia.
The FME Academy teaches FME skills that are useful regardless of your industry. To learn more about industry-specific use cases with FME, check out the industry solutions pages or our Knowledge Base.
You can get in touch with your industry peers in the FME Community.
What Data Types Does FME Support?
Similarly, FME supports a wide variety of data types. You can rely on FME to support core data types for spatial data integration, including CAD and GIS. You can also trust that FME will adapt to your rapidly-changing data integration needs, adding widely-used systems and cutting-edge technology.
Airports & Aviation
Architecture, Engineering, and Construction
Commercial
Defense and Aerospace
Education & Non-Profit
Enterprise
Government: Federal
Government: Local
Government: Regional
Healthcare & Health Technology
Natural Resources
Public Safety
Telecom
Transportation
Utilities & Energy
