How to choose a transportation and mobility data provider

"Transportation and mobility analytics" covers products that track vehicles you own, vehicles you don't, and people who aren't in a vehicle you can see at all. Those are three different data problems with three different buyers, and the tools in this category rarely compete with each other directly — a fleet manager, a transportation planning agency, and a logistics company routing shipments each end up looking at a different corner of the market. The fastest way to a shortlist is deciding which of those you are.

This category is not a fit for measuring your own product's usage or website traffic — it is about the physical movement of vehicles, vessels, aircraft or people through the world, sold as licensed data and analytics.

Decide what is actually moving

• Vehicles you operate. Geotab plugs a device into your own commercial vehicles' OBD-II ports and streams location, engine and driver-behavior data back for route optimization, fuel analysis, safety coaching and maintenance alerts. This is fleet telematics: you own the assets, and the value is operational control over them.
• Vehicles, vessels or aircraft you don't operate. INRIX aggregates roadway traffic and incident data from connected vehicles and road sensors across a wide network; MarineTraffic does the equivalent for ocean-going vessels via AIS broadcasts; FlightAware does it for aircraft via ADS-B, radar and airline feeds. None of these three instrument assets you control — they license visibility into a transportation system you participate in but don't run.
• People, independent of any single vehicle. Replica and StreetLight Data both start from anonymized mobile location data to understand how, when and why people travel — origin, destination, mode and trip purpose — rather than tracking any specific vehicle at all. This is the data transportation planners use to model demand for a new transit line or road change before it exists.

Decide between measured and simulated data

Within the "people" cluster, INRIX's own materials distinguish its real-time roadway data from what StreetLight Data and Replica do further downstream, and StreetLight Data and Replica differ meaningfully from each other in the same way. StreetLight Data measures observed trips directly from location data — a sample of what actually happened, expanded to represent the full population using statistical modeling. Replica goes a step further and builds a complete synthetic population: a digital twin of everyone in a region, each with a simulated daily travel pattern that statistically matches real behavior. The practical difference is what you can ask the model. Direct measurement (StreetLight) answers "what happened on this corridor." A synthetic population (Replica) answers "what would happen if we changed this corridor" with an internally consistent full-region scenario, which is why agencies doing long-range scenario planning often lean toward Replica while those pulling a specific origin-destination study lean toward StreetLight.

Decide who the buyer actually is

• City and state transportation agencies, planning consultants and researchers are the core market for INRIX, Replica and StreetLight Data.
• Logistics, freight, insurance and financial-services firms that need to track shipments or use traffic as an economic indicator sit across FlightAware, MarineTraffic and INRIX.
• Fleet operators and dispatchers — trucking, field service, delivery — are Geotab's market, sold almost entirely through a certified reseller network rather than self-service.
• Automakers, airlines, airports and ports embed several of these feeds directly into navigation, safety-alert or operational systems, which is a different integration profile than a planner pulling a report.

Weigh real-time operations against strategic planning

Geotab, INRIX, MarineTraffic and FlightAware are largely real-time or near-real-time: they answer "where is it now" and "what is the current state of the network." Replica and StreetLight Data are built for retrospective and scenario analysis rather than live operations — nobody dispatches a truck off a synthetic-population model. If your question is operational (routing, dispatch, current congestion), start with the real-time tools; if it's strategic (should we build this transit line, where should the next EV chargers go), start with the planning-data tools.

Check how pricing actually scales

FlightAware is unusual in this category for being explicitly usage-based — its AeroAPI is billed per query, which rewards a narrow, well-scoped integration and penalizes pulling more data than you need. MarineTraffic runs a genuine freemium model: anyone can look up a vessel on the public map for free, with paid tiers for bulk data and fleet monitoring. Geotab, INRIX, Replica and StreetLight Data are all quote-based, priced by device count, data volume, study area or licensing scope rather than published tiers — budget time for a proper scoping conversation rather than expecting a rate card.

A shortlist by situation

• If you dispatch and manage your own commercial vehicles, Geotab is built for that job specifically; the others in this category are not substitutes for owning your own fleet data.
• If you need current roadway conditions, incidents or parking availability licensed into your own product, INRIX is the direct fit.
• If your assets move by sea or air rather than road, MarineTraffic and FlightAware fill the equivalent role for maritime and aviation tracking respectively.
• If you're a transportation agency running a specific origin-destination or mode-share study, start with StreetLight Data's self-serve tool before commissioning a full model.
• If you're testing "what if" scenarios for a road, transit or policy change across a whole region, Replica's synthetic population is built for exactly that.

Questions to ask vendors

1. Is this data measured directly from my own assets, licensed from a third-party network, or statistically modeled — and how is that distinction reflected in confidence intervals or documentation?
2. What is the update frequency, and is it genuinely real-time or batched?
3. For location-derived products: how is the underlying mobile data anonymized, and what happens at low sample density in less-populated areas?
4. What does a pilot look like against our actual study area or route network, not a demo region?
5. How does pricing scale as we add devices, query volume or geographic coverage?

Common mistakes

• Treating a synthetic-population model and a directly measured dataset as interchangeable inputs to the same analysis without understanding which one you're using.
• Buying fleet telematics to answer a public-sector planning question, or vice versa — they serve genuinely different jobs even though both involve "vehicle location."
• Under-scoping a usage-based API integration during a trial, then being surprised by cost at production query volume.
• Assuming crowdsourced or mobile-derived data has even coverage; density follows population and device penetration, not your study boundary.

For two of these decisions worked through in more depth, see INRIX vs StreetLight Data and Replica vs StreetLight Data. For every tool in this category, browse the full directory.