FLIGHT DATA SETS

The world's most accurate and information-rich flight data

Explore premium aviation data sets including global airlines schedules, historical data,
connections, passenger bookings including real-time flight status, available seamlessly
via Cloud, Data Feed and API Solutions.

Supply data

Rich aviation data sets that detail the availability, attributes, and operational status of global flights

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Schedules Data

Forward-looking and historical flight schedules from 900+ airlines, updated every 15 minutes.  

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Flight Status Data

Real-time tracking of flight cancellations and delays across thousands of flights every day. 

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Seats Data

The number of seats by cabin class on scheduled and operated flights worldwide, updated daily. 

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Flight Connections Data

Every viable passenger connection worldwide, across 200 million+ route combinations, updated weekly.  

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Minimum Connection Times

Industry-standard connection time rules covering 157,000+ MCTs and airline-specific exceptions globally.  

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Master Data

The reference data behind every flight record, covering airline and airport codes, aircraft types and time zones.  

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Historical Flight Data

A unique worldwide archive of 20+ years of flight schedules, status, and performance data. 

Demand data

Actionable data that provides strategic insight from the early phases of passenger travel searches down to the actual purchase

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Passenger Booking Data

Passenger traffic and booking data showing where passengers originate, connect and fly to, across carriers, markets and points of sale. 

Pricing data

High-quality, unparalleled competitor airfare data to optimise pricing and drive revenue growth

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Airfares

Airfare data at route and market level, tracked in real-time across carriers, channels and markets globally. 

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Altus Data

Historical airfare data from more than 1,500 booking sites including airlines, OTAs and GDSs — understand how prices have moved over time.

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Market Trends Data

More than a decade of airline pricing, capacity and revenue data in one place — identify seasonal patterns and competitive dynamics across markets.

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