We'll tailor a bespoke airline dataset to meet your unique needs, encompassing flight details, destinations, pricing, passenger reviews, on-time performance, and other pertinent metrics.

Leverage our airline datasets for diverse applications to bolster strategic planning and market analysis. Scrutinizing these datasets enables organizations to grasp traveler preferences and industry trends, facilitating nuanced operational adaptations and marketing initiatives. Customize your access to the entire dataset or specific subsets as per your business requisites.

Popular use cases involve optimizing route profitability, improving passenger satisfaction, and conducting competitor analysis.

You can get all global flight information in 1 API call or track flights based on flight number, airline, departure/arrival airport, and more. The data updates frequently, around every 5 minutes. The details of the data include:

Geography: Location information such as latitude, longitude, altitude, and direction. Speed: Vertical and horizontal speed of aircraft. Departure and arrival: IATA codes and ICAO codes of the departure and arrival airport. Aircraft and flight: IATA and ICAO number of flight and registration number, ICAO code, and ICAO24 code of aircraft. Airline: IATA code, and ICAO code of airline. System information: Squawk, status, and last updated in Epoch.

Here's an example response from the API: [ { "geography": { "latitude": 43.5033, "longitude": -79.1297, "altitude": 7833.36, "direction": 70 }, "speed": { "horizontal": 833.4, "isGround": 0, "vertical": 0 }, "departure": { "iataCode": "YHM", "icaoCode": "CYHM" }, "arrival": { "iataCode": "YQM", "icaoCode": "CYQM" }, "aircraft": { "icaoCode": "B763", "regNumber": "CGYAJ", "icao24": "C08412" }, "airline": { "iataCode": "W8", "icaoCode": "CJT" }, "flight": { "iataNumber": "W8620", "icaoNumber": "CJT620", "number": "620" }, "system": { "updated": 1513148168, "squawk": "0000" }, "status": "en-route" } ]

Developer Information:

1) Available Endpoints &depIata= &depIcao= &arrIata= &arrIcao= &aircraftIcao= &regNum= &aircraftIcao24= &airlineIata= &airlineIcao= &flightIata= &flightIcao= &flightNum= &status= &limit= &lat=&lng=&distance=

2) Flights Tracker API Output

Specific flight based on: Flight IATA Number: GET http://aviation-edge.com/v2/public/flights?key=[API_KEY]&flightIata=W8519

All flights of a specific Airlines: GET http://aviation-edge.com/v2/public/flights?key=[API_KEY]&airlineIata=W8

Flights from departure location: GET http://aviation-edge.com/v2/public/flights?key=[API_KEY]&depIata=MAD

Flights from arrival location: GET http://aviation-edge.com/v2/public/flights?key=[API_KEY]&arrIata=GIG

Flights within a circle area based on lat and lng values and radius as the distance: GET https://aviation-edge.com/v2/public/flights?key=[API_KEY]&lat=51.5074&lng=0.1278&distance=100&arrIata=LHR

Combinations: two airports and a specific airline flying between them: GET http://aviation-edge.com/v2/public/flights?key=[API_KEY]&depIata=ATL&arrIata=ORD&airlineIata=UA

Comprehensive dataset of 294 Airlines in New York, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This layer visualizes over 60,000 commercial flight paths. The data was obtained from openflights.org, and was last updated in June 2014. The site states, "The third-party that OpenFlights uses for route data ceased providing updates in June 2014. The current data is of historical value only. As of June 2014, the OpenFlights/Airline Route Mapper Route Database contains 67,663 routes between 3,321 airports on 548 airlines spanning the globe. Creating and maintaining this database has required and continues to require an immense amount of work. We need your support to keep this database up-to-date."To donate, visit the site and click the PayPal link.Routes were created using the XY-to-line tool in ArcGIS Pro, inspired by Kenneth Field's work, and following a modified methodology from Michael Markieta (www.spatialanalysis.ca/2011/global-connectivity-mapping-out-flight-routes).Some cleanup was required in the original data, including adding missing location data for several airports and some missing IATA codes. Before performing the point to line conversion, the key to preserving attributes in the original data is a combination of the INDEX and MATCH functions in Microsoft Excel. Example function: =INDEX(Airlines!$B$2:$B$6200,MATCH(Routes!$A2,Airlines!$D$2:Airlines!$D$6200,0))                                                

The Schedules API service provides real-time data for the flight schedules and timetables of airports and airlines around the world and maintains this for you in our central database, always accessible with your personal API key. This is one of Aviation Edge’s core features. You can build real-time airport departure and arrival tables, keep track of delays and cancellations, track the status of flights by using our API. The data comes in JSON format, making it useful to implement to websites and build applications, tools, software, and more.

The data includes the following: - Flight Status: active, scheduled, landed, cancelled, incident, diverted, redirected. - Airport details: IATA code, ICAO code, Terminal, Gate for both departure and arrival airport - Take-off information: Scheduled, estimated and actual times on runway and that of departure/arrival. - Total delay (updated for departures) - Airline: Name, IATA code and ICAO code. - Flight: Number of Flight, IATA prefix with flight number and ICAO prefix with flight number.

Example response from the API:

[ {"airline": {"iataCode":"DL", "icaoCode":"DAL", "name":"Delta Air Lines"}, "arrival": {"actualRunway":"2021-03-03T04:15:00.000", "actualTime":"2021-03-03T04:15:00.000", "baggage":"T4", "delay":null, "estimatedRunway":"2021-03-03T04:15:00.000", "estimatedTime":"2021-03-03T04:15:00.000", "gate":"B41", "iataCode":"JFK", "icaoCode":"KJFK", "scheduledTime":"2021-03-03T05:05:00.000", "terminal":"4"}, "codeshared":null, "departure": {"actualRunway":"2021-03-03T00:10:00.000", "actualTime":"2021-03-03T00:10:00.000", "baggage":5, "delay":"16", "estimatedRunway":"2021-03-03T00:10:00.000", "estimatedTime":”2021-03-03T00:10:00.000”, "gate":"B06", "iataCode":"TLV", "icaoCode":"LLBG", "scheduledTime":"2021-03-02T23:55:00.000", "terminal":"3"}, "flight": {"iataNumber":"DL235", "icaoNumber":"DAL235", "number":"235"}, "status":"landed", "type":"arrival"} ]

Output:

For the departure schedule of a certain airport. GET http://aviation-edge.com/v2/public/timetable?key=[API_KEY]&iataCode=JFK&type=departure

For the arrival schedule of a certain airport. GET http://aviation-edge.com/v2/public/timetable?key=[API_KEY]&iataCode=JFK&type=arrival

Comprehensive dataset of 55 Airlines in Missouri, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Success.ai’s Aviation Data provides verified access to professionals across the airlines, aviation, and aerospace industries. Leveraging over 700 million LinkedIn profiles, this dataset delivers actionable insights, contact details, and firmographic data for pilots, engineers, airline executives, aerospace manufacturers, and more. Whether your goal is to market aviation technology, recruit aerospace specialists, or analyze industry trends, Success.ai ensures your outreach is powered by accurate, enriched, and continuously updated data.

Why Choose Success.ai’s Aviation Data? Comprehensive Professional Profiles

Access verified LinkedIn profiles of pilots, engineers, flight operations managers, safety specialists, and aviation executives. AI-driven validation ensures 99% accuracy, reducing bounce rates and enhancing communication efficiency. Global Coverage Across Aviation and Aerospace Sectors

Includes professionals from airlines, airport authorities, aerospace manufacturers, and aviation technology providers. Covers key regions such as North America, Europe, APAC, South America, and the Middle East. Continuously Updated Dataset

Real-time updates reflect changes in roles, organizational affiliations, and professional achievements, ensuring relevant targeting. Tailored for Aviation and Aerospace Insights

Enriched profiles include work histories, areas of specialization, professional certifications, and firmographic data. Data Highlights: 700M+ Verified LinkedIn Profiles: Access a vast network of aviation and aerospace professionals worldwide. 100M+ Work Emails: Communicate directly with pilots, engineers, and airline executives. Enriched Professional Histories: Gain insights into career paths, certifications, and organizational roles. Industry-Specific Segmentation: Target professionals in commercial aviation, aerospace R&D, airport management, and more with precision filters. Key Features of the Dataset: Aviation and Aerospace Professional Profiles

Identify and connect with airline CEOs, aerospace engineers, maintenance technicians, flight safety experts, and other key professionals. Engage with individuals responsible for operational decisions, technology adoption, and aviation safety protocols. Detailed Firmographic Data

Leverage insights into company sizes, fleet compositions, geographic operations, and market focus. Align outreach to match specific industry needs and organizational scales. Advanced Filters for Precision Targeting

Refine searches by region, job role, certifications (e.g., FAA, EASA), or years of experience for tailored outreach. Customize campaigns to address unique aviation challenges such as sustainability, fleet modernization, or safety compliance. AI-Driven Enrichment

Enhanced datasets provide actionable insights for personalized campaigns, highlighting certifications, achievements, and career milestones. Strategic Use Cases: Marketing Aviation Products and Services

Promote aviation technology, flight operations software, or aerospace equipment to airline operators and engineers. Engage with professionals responsible for procurement, fleet management, and airport operations. Recruitment and Talent Acquisition

Target HR professionals and aerospace manufacturers seeking pilots, engineers, and aviation specialists. Simplify hiring for roles requiring advanced technical expertise or certifications. Collaboration and Partnerships

Identify aerospace manufacturers, airlines, or airport authorities for joint ventures, technology development, or service agreements. Build partnerships with key players driving innovation and safety in aviation. Market Research and Industry Analysis

Analyze trends in airline operations, aerospace manufacturing, and aviation technology to inform strategy. Use insights to refine product development and marketing efforts tailored to the aviation industry. Why Choose Success.ai? Best Price Guarantee

Access high-quality Aviation Data at unmatched pricing, ensuring cost-effective campaigns and strategies. Seamless Integration

Easily integrate verified aviation data into CRMs, recruitment platforms, or marketing systems using APIs or downloadable formats. AI-Validated Accuracy

Depend on 99% accurate data to minimize wasted efforts and maximize engagement with aviation professionals. Customizable Solutions

Tailor datasets to specific aviation sectors, geographic regions, or professional roles to meet your strategic objectives. Strategic APIs for Enhanced Campaigns: Data Enrichment API

Enhance existing records with verified aviation profiles to refine targeting and engagement. Lead Generation API

Automate lead generation for a consistent pipeline of qualified professionals in the aviation sector, scaling your outreach efficiently. Success.ai’s Aviation Data empowers you to connect with the leaders and innovators shaping the aviation and aerospace industries. With verified conta...

Have you ever been stuck in an airport because your flight was delayed or cancelled and wondered if you could have predicted it if you'd had more data? This is your chance to find out.

The 2009 ASA Statistical Computing and Graphics Data Expo consisted of flight arrival and departure details for all commercial flights on major carriers within the USA, from October 1987 to April 2008. This is a large dataset containing nearly 120 million records in total.

The aim of the data expo is to provide a graphical summary of important features of the data set. This is intentionally vague in order to allow different entries to focus on different aspects of the data, but here are a few ideas to get you started: •When is the best time of day, day of the week, and time of year to fly to minimise delays? •Do older planes suffer more delays? •How well does weather predict plane delays? •How does the number of people flying between different locations change over time? •Can you detect cascading failures as delays in one airport create delays in others? Are there critical links in the system? •Use the available variables to construct a model that predicts delays.

JAL Group: JAL: International: Flight Returned to Departing Airport data was reported at 1.000 Unit in Jun 2018. This stayed constant from the previous number of 1.000 Unit for May 2018. JAL Group: JAL: International: Flight Returned to Departing Airport data is updated monthly, averaging 1.000 Unit from Dec 2000 (Median) to Jun 2018, with 211 observations. The data reached an all-time high of 12.000 Unit in Sep 2001 and a record low of 0.000 Unit in Feb 2018. JAL Group: JAL: International: Flight Returned to Departing Airport data remains active status in CEIC and is reported by JAL Group. The data is categorized under Global Database’s Japan – Table JP.TA009: Airlines Statistics: Japan Airlines Group.

You can connect to the actual flight routes around the world with your API key at any time with very fast response times. It is possible to view all routes at the same time via a single API key. For your convenience, we have also developed many different filters so that you can pull the exact data you are looking for. This way, you may get data of the routes of a specific airline, routes from or to a specific airport (both IATA and ICAO codes work), or may get an individual flight based on its flight number.

A common use of the air routes API is to develop software in the aviation industry. While Aviation Edge’s focus is to collect and maintaining aviation data, you are free to develop countless applications, tools, and platforms by using our data.

The details included in the routes data are: Departure data: IATA code, ICAO code, terminal, and time. Arrival data: IATA code, ICAO code, terminal, and time. Airline: IATA code of airline. Flight: Flight number. Aircraft: Registration number of the aircraft.

Here's an example response from the API: [ { "departureIata": "OTP", "departureIcao": "LROP", "departureTerminal": 2, "departureTime": "09:15:00", "arrivalIata": "TRN", "arrivalIcao": "LIMF", "arrivalTerminal": 1, "arrivalTime": "10:45:00", "airlineIata": "0B", "airlineIcao": "BMS", "flightNumber": "101", "codeshares": null, "regNumber": "YR-BAP" } ]

Developer information: 1) Available Endpoints &departureIata= &departureIcao= &airlineIata= &airlineIcao= &flightNumber=

2) Output Airports, Airlines or Flights routes output: GET http://aviation-edge.com/v2/public/routes?key=[API_KEY]&departureIata=OTP GET http://aviation-edge.com/v2/public/routes?key=[API_KEY]&departureIcao=LROP GET http://aviation-edge.com/v2/public/routes?key=[API_KEY]&airlineIata=0B GET http://aviation-edge.com/v2/public/routes?key=[API_KEY]&airlineIcao=BMS GET http://aviation-edge.com/v2/public/routes?key=[API_KEY]&flightNumber=101 For information about a specific route (example). GET http://aviation-edge.com/v2/public/routes?key=[API_KEY]&departureIata=OTP&airlineIata=0B&flightNumber=101

The global market for Big Data-based flight operations is experiencing robust growth, driven by the increasing need for enhanced operational efficiency, predictive maintenance, and improved passenger experience within the airline industry. The market's expansion is fueled by the adoption of advanced analytics to optimize flight scheduling, fuel consumption, and resource allocation. Airlines are leveraging big data to gain real-time insights into flight performance, weather patterns, and passenger preferences, leading to significant cost savings and improved decision-making. The cloud-based segment is experiencing faster growth compared to on-premises solutions due to scalability, cost-effectiveness, and accessibility. International flights currently dominate the application segment, reflecting the complexity and data intensity associated with long-haul operations. However, the domestic flight segment is expected to witness substantial growth as airlines increasingly adopt big data analytics for efficient domestic route management and passenger service improvement. The Asia-Pacific region, particularly China and India, is projected to be a key growth driver due to the rapid expansion of the aviation sector in these markets. Competitive pressures among airlines are further accelerating the adoption of big data technologies to achieve operational excellence and maintain a competitive edge. Challenges remain, including data security concerns, integration complexities, and the need for skilled professionals to manage and interpret the vast amounts of data generated. Despite these challenges, the long-term outlook for the Big Data-based flight operations market remains positive, promising substantial growth over the forecast period. The market’s growth trajectory is expected to be influenced by several factors. Technological advancements continue to push the boundaries of data analysis capabilities, enabling more sophisticated applications. Government regulations promoting data-driven improvements in aviation safety and efficiency are providing further impetus. The increasing adoption of Internet of Things (IoT) devices in aircraft is further enriching the data pool, providing richer insights. However, potential restraints include the high initial investment costs associated with implementing big data infrastructure, the need for robust cybersecurity measures to protect sensitive data, and the ongoing need for skilled data scientists and analysts to interpret the complex data sets. Nevertheless, the substantial benefits in terms of cost optimization, improved operational efficiency, and enhanced passenger experience are expected to outweigh these challenges, driving sustained market growth in the coming years. We estimate a market size of approximately $2.5 billion in 2025, growing at a Compound Annual Growth Rate (CAGR) of 15% through 2033.

Available only on the web, provides information for airport pair markets rather than city pair markets. This table only lists airport markets where the origin or destination airport is an airport that has other commercial airports in the same city. Midway Airport (MDW) and O'Hare (ORD) are examples of this. All records are aggregated as directionless markets. The combination of Airport_1 and Airport_2 define the airport pair market. All traffic traveling in both directions is added together.

https://www.transportation.gov/policy/aviation-policy/competition-data-analysis/research-reports

Flight data from the US Department of Transportation, Bureau of Transportation Statistics. Downloaded on 2019-07-04. https://www.transtats.bts.gov Data are here for use in software tutorials.

Comprehensive dataset of 69 Airlines in Ohio, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The global airport database and resource management market is expanding rapidly, driven by the increasing demand for efficient and centralized airport operations. The market is projected to reach USD XXX million by 2033, exhibiting a CAGR of XX% during the forecast period 2025-2033. The growing air traffic, increasing need for enhanced passenger experience, and advancements in technology are key factors fueling the market expansion. Key market trends include the adoption of cloud-based solutions for database management, the integration of artificial intelligence (AI) and machine learning (ML) algorithms to optimize airport resources, and the increasing emphasis on cybersecurity measures to protect sensitive data. The market is segmented by application (civil airport and military airport) and type (service and software). North America is the largest regional market, followed by Europe and Asia Pacific. The presence of major airports and airlines in these regions drives the demand for advanced database and resource management systems. Key players in the market include SITA, Rockwell Collins, Amadeus, Sabre, ADB Safegate, Thales, Leidos, Topsystem, Arepo Solutions, Quantum Aviation Solutions, Avtura, Inform, and others. These companies offer a range of solutions, including airport operations management, resource planning, data analytics, and cybersecurity services, to meet the diverse needs of airports globally.

A. Usecase/Applications possible with the data:

1. Maintain a competitive pricing strategy: Learn how your competitors have priced their tickets in order to stay competitive in the market with the best prices. You can also plan how to offer discounts and low-cost rooms based on the availability of your competitors' packages.

2. Systemize your services: Use the data to better serve your customers by systemizing your services by i) Scheduling flights based on market demand and supply ii) Understanding your customers' sentiments and preferences.

3. Stay on top of availability: Optimize seat or ticket availability by thoroughly researching the supply in the market as well as the offerings of your competitors.

How does it work?

• Analyze sample data
• Customize parameters to suit your needs
• Add to your projects
• Contact support for further customization

Scheduled operations of international airlines operating to and from Australia. Data on Passengers, freight and mail carried by airline by uplift/discharge country within single flight number services.

Spain: Airline passengers of domestically owned airlines: The latest value from 2021 is 43.44 million passengers, an increase from 26.56 million passengers in 2020. In comparison, the world average is 15.00 million passengers, based on data from 152 countries. Historically, the average for Spain from 1970 to 2021 is 32.67 million passengers. The minimum value, 6.35 million passengers, was reached in 1970 while the maximum of 88.24 million passengers was recorded in 2019.

Japan Airlines: Number of Flight: Domestic data was reported at 66,938.000 Unit in Sep 2018. This records a decrease from the previous number of 75,230.000 Unit for Aug 2018. Japan Airlines: Number of Flight: Domestic data is updated monthly, averaging 41,107.000 Unit from Jan 1970 (Median) to Sep 2018, with 585 observations. The data reached an all-time high of 75,230.000 Unit in Aug 2018 and a record low of 16,135.000 Unit in Feb 1970. Japan Airlines: Number of Flight: Domestic data remains active status in CEIC and is reported by Ministry of Land, Infrastructure, Transport and Tourism. The data is categorized under Global Database’s Japan – Table JP.TA008: Airlines Statistics.

JAL Group: Domestic: Flight Landed on Airports not Destined data was reported at 13.000 Unit in Jun 2018. This records an increase from the previous number of 7.000 Unit for May 2018. JAL Group: Domestic: Flight Landed on Airports not Destined data is updated monthly, averaging 12.000 Unit from Apr 2001 (Median) to Jun 2018, with 207 observations. The data reached an all-time high of 50.000 Unit in Jun 2003 and a record low of 0.000 Unit in Jul 2001. JAL Group: Domestic: Flight Landed on Airports not Destined data remains active status in CEIC and is reported by JAL Group. The data is categorized under Global Database’s Japan – Table JP.TA009: Airlines Statistics: Japan Airlines Group.