The historical flight schedule data is perfect to create applications, plugins for websites, running analysis and creating statistics, keeping track of past delays and cancellations for insurance or flight compensation claims, and much more.

We have developed many parameters you can use to pull the exact data you need without having to spend too much time filtering it on your end. We've asked many developers around the world to find out which pieces of data they would need the most, and created the parameters based on this feedback.

The data includes: - Airline: Name, IATA and ICAO codes of the airline. - Departure and arrival: IATA codes and ICAO codes of the departure and arrival location. - Departure and arrival times: Scheduled, estimated and actual arrival and departure times, as well as runway times in local time. - Status: The latest status information of the flight which may be active (for departure schedules), landed (for arrival schedules), cancelled or unknown - Delay: Total delay amount in minutes for delayed flights

Example response from the API: { "type": "departure", "status": "active", "departure": { "iataCode": "jfk", "icaoCode": "kjfk", "terminal": "7", "delay": 10, "scheduledTime": "2020-09-25t20:15:00.000", "estimatedTime": "2020-09-25t20:09:00.000", "actualTime": "2020-09-25t20:25:00.000", "estimatedRunway": "2020-09-25t20:25:00.000", "actualRunway": "2020-09-25t20:25:00.000"}, "arrival": { "iataCode": "lhr", "icaoCode": "egll", "terminal": "5", "scheduledTime": "2020-09-26t08:20:00.000", "estimatedTime": "2020-09-26t07:32:00.000" }, "airline": { "name": "aer lingus", "iataCode": "ei", "icaoCode": "ein" }, "flight": { "number": "8814", "iataNumber": "ei8814", "icaoNumber": "ein8814" }, "codeshared": { "airline": { "name": "british airways", "iataCode": "ba", "icaoCode": "baw" }, "flight": { "number": "114", "iataNumber": "ba114", "icaoNumber": "baw114"} } },

2) Historical Schedules API Output - Developer Information For the departure schedule of a certain airport on a certain date. GET http://aviation-edge.com/v2/public/flightsHistory?key=[API_KEY]&code=JFK&type=departure&date_from=YYYY-MM-DD

For the arrival schedule of a certain airport on a certain date. GET http://aviation-edge.com/v2/public/flightsHistory?key=[API_KEY]&code=JFK&type=arrival&date_from=YYYY-MM-DD

For the schedule of a certain airport of a certain date range (also available for arrival). GET http://aviation-edge.com/v2/public/flightsHistory?key=[API_KEY]&code=JFK&type=departure&date_from=YYYY-MM-DD&date_to=YYYY-MM-DD

For the schedule of a certain airport on a certain date (or range) but only flights with a certain status. GET http://aviation-edge.com/v2/public/flightsHistory?key=[API_KEY]&code=JFK&type=arrival&date_from=YYYY-MM-DD&date_to=YYYY-MM-DD&status=cancelled

For tracking individual historical flights. GET http://aviation-edge.com/v2/public/flightsHistory?key=[API_KEY]&code=JFK&type=departure&date_from=YYYY-MM-DD&date_to=YYYY-MM-DD&flight_number=[1234]

For filtering the flights of a certain airline from the arrival schedule of a certain airport on a certain date (also available for departure schedules and as a date range). GET http://aviation-edge.com/v2/public/flightsHistory?key=[API_KEY]&code=JFK&type=arrival&date_from=YYYY-MM-DD&&airline_iata=TK

Important Tips: - Currently possible to get dates that are up to 1 year earlier than the current date (this will expand soon). - The date range can go up to 28 days for a single API call but may be shorter around 3-5 days for airports with heavy traffic.

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

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

Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

The airports the API returns include airports that have the submitted letters anywhere in them. For example, when the letters "ist" are requested, the API returns both "Istanbul Airport" and "Bristol Airport" (among other items).

The API is particularly useful for travel agency and flight booking websites, tools or apps to display the relevant airport and cities as a list for the user to choose from.

The city and airport data the Autocomplete API returns include: - IATA code and name, - Country code and name, - Airport location (latitude and longitude) - Time zone

1) Example Fields of Use - Travel agency and flight booking/schedule tracking websites, tools, apps where users are expected to submit a departure or arrival city or airport - Any autocomplete feature related to cities or airports

2) Example Input Airports and cities with the letters containing "xyz" in them:

GET http://aviation-edge.com/v2/public/autocomplete?key=[API_KEY]&city=xyz

3) Example Output [ { "code": "AMS", "name": "Amsterdam", "cityCode": "AMS", "cityName": "Amsterdam", "countryCode": "NL", "countryName": "Netherlands", "lat": 52.3730556, "lng": 4.8922222, "timezone": "Europe/Amsterdam", "type": "city" } ], "airports": [ { "code": "ZYA", "name": "Amsterdam Centraal Railway Station", "cityCode": "AMS", "cityName": "Amsterdam", "countryCode": "NL", "countryName": "Netherlands", "lat": 52.3730556, "lng": 4.8922222, "timezone": "Europe/Amsterdam", "type": "rail_station", "isRailRoad": 1, "isBusStation": 0 }, { "code": "AMS", "name": "Schiphol", "cityCode": "AMS", "cityName": "Amsterdam", "countryCode": "NL", "countryName": "Netherlands", "lat": 52.30907, "lng": 4.763385, "timezone": "Europe/Amsterdam", "type": "airport", "isRailRoad": 0, "isBusStation": 0 } ], "airportsByCities": }, ... ]

Airport Passenger Service API Ecosystem Market Outlook

As per our latest research, the global Airport Passenger Service API Ecosystem market size reached USD 1.92 billion in 2024, reflecting robust digital transformation across the aviation sector. The market is projected to grow at a CAGR of 14.5% during the forecast period, reaching a value of USD 5.43 billion by 2033. This impressive growth trajectory is driven by increasing passenger expectations for seamless travel experiences, the proliferation of mobile applications, and the ongoing push for operational efficiency within airports and airlines worldwide.

A key driver of the Airport Passenger Service API Ecosystem market is the intensifying demand for real-time, personalized passenger services. As air travel rebounds post-pandemic, airports and airlines are under pressure to deliver enhanced customer experiences that prioritize convenience, safety, and transparency. APIs enable seamless integration of disparate systems, allowing for services such as mobile check-in, digital boarding passes, real-time flight updates, and personalized notifications. This not only improves passenger satisfaction but also streamlines operational workflows, reducing bottlenecks and manual interventions. The growing adoption of mobile devices and the rise of self-service kiosks are further amplifying the need for robust API-driven solutions in airport environments.

Another significant growth factor is the increasing collaboration between airlines, airports, and third-party travel service providers. The API ecosystem acts as a digital bridge, allowing stakeholders to share data securely and efficiently. This interconnectedness supports advanced functionalities like baggage tracking, loyalty program integration, and dynamic pricing for ancillary services. As travel becomes more interconnected, APIs enable a unified passenger journey, from booking and check-in to baggage retrieval and onward connections. Additionally, regulatory mandates for data transparency and passenger rights in regions like Europe and North America are compelling airports and airlines to invest in API-driven platforms that ensure compliance while improving service delivery.

The rapid evolution of cloud computing and artificial intelligence is also fueling market growth. Cloud-based API solutions offer scalability, flexibility, and cost-efficiency, making them attractive to both large international airports and smaller regional hubs. AI-powered APIs can analyze vast datasets in real time, enabling predictive maintenance, resource optimization, and proactive passenger communication. These technological advancements are empowering airports and airlines to anticipate passenger needs, mitigate disruptions, and enhance overall operational resilience. Furthermore, the rise of contactless travel solutions in the wake of health and safety concerns has accelerated the deployment of API-driven touchpoints, solidifying their role as a cornerstone of modern airport infrastructure.

From a regional perspective, North America and Europe currently dominate the Airport Passenger Service API Ecosystem market, driven by the presence of major international airports, high passenger volumes, and early adoption of digital technologies. However, Asia Pacific is emerging as the fastest-growing region, fueled by rapid airport infrastructure development, expanding middle-class populations, and government initiatives to modernize aviation services. The Middle East, with its strategic investment in smart airports, is also poised for significant growth. Latin America and Africa, while still in nascent stages, are expected to witness increased adoption as air travel demand rises and digital transformation initiatives gain momentum. Overall, the global market is characterized by a dynamic interplay of technological innovation, regulatory evolution, and shifting passenger expectations.

Service Type Analysis

The Airport Passenger Service API Ecosystem market by service type encompasses a wide array of solutions, including check-in & boarding, baggage handling, flight information,

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...

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Drone Navigation System Market Size 2025-2029

The drone navigation system market size is forecast to increase by USD 20.8 billion, at a CAGR of 31.4% between 2024 and 2029.

The market is experiencing significant growth, driven by the integration of advanced electronic warfare technologies and the advent of network-centric warfare. These developments enable drones to operate more effectively in complex environments, enhancing their military applications. However, the market faces challenges, primarily endurance constraints that necessitate ongoing research and development efforts to extend flight times and expand operational capabilities. Companies seeking to capitalize on market opportunities must focus on addressing these challenges through technological innovations and strategic partnerships, ensuring their drone navigation systems remain competitive in the evolving landscape.

What will be the Size of the Drone Navigation System Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, driven by advancements in technology and expanding applications across various sectors. Remote control systems are being superseded by more sophisticated navigation systems, integrating safety standards and ensuring longer flight times. Navigation systems incorporate GNSS receivers, IMU sensors, and barometric altimeters for precise positioning and altitude control. Deep learning algorithms and real-time data processing enable object recognition, obstacle avoidance, and autonomous flight. API integrations and payload integration facilitate seamless data transmission and expand drone capabilities. Thermal management systems ensure optimal performance in extreme temperatures, while industrial inspection applications benefit from high-resolution image processing and sensor fusion. Law enforcement agencies utilize drones for object recognition, search and rescue teams for emergency response, and delivery services for efficient distribution. Regulations governing drone use are continuously evolving, shaping the market landscape. Drone regulations address privacy concerns, air traffic management, and data security, ensuring safe and responsible drone operations. Power management, communication protocols, and battery life are crucial considerations for drone manufacturers. Brushless motors, flight controllers, and AI algorithms enhance drone performance and payload capacity. The market's ongoing dynamism reflects the integration of drones into commercial applications, military operations, and everyday life.

How is this Drone Navigation System Industry segmented?

The drone navigation system industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. End-userMilitary dronesConsumer and civil dronesTypeManually operatedAutonomousGeographyNorth AmericaUSCanadaEuropeFranceAPACChinaIndiaRest of World (ROW)

By End-user Insights

The military drones segment is estimated to witness significant growth during the forecast period.The market is witnessing significant advancements, driven by the integration of various technologies such as IMU sensors, machine learning, and real-time data processing. Commercial applications, including industrial inspection, law enforcement, and delivery services, are increasingly relying on drones for efficiency and precision. Safety standards are of paramount importance, with air traffic management and obstacle avoidance systems ensuring safe flights. Data security is another critical concern, with encryption and secure data transmission protocols being prioritized. GNSS receivers and GPS modules enable accurate positioning and navigation, while autonomous flight capabilities reduce human intervention. Deep learning algorithms enhance object recognition and computer vision capabilities. Flight controllers and power management systems optimize battery life and ensure stable, efficient power distribution. Military applications require long flight times and robust navigation systems, with MALE and HALE UAVs employing advanced astronavigation, dead reckoning, and INS technologies. Research focuses on developing autonomous sensors for reliable performance in adverse conditions, where GNSS support may be lacking. Distribution channels and API integrations streamline drone usage, enabling seamless integration with various industries and applications. Payload capacity, sensor fusion, and communication protocols are essential considerations for drone manufacturers, with brushless motors and AI algorithms optimizing performance. Path planning and delivery services are transforming retail sales, while emergency respon

This dataset contains Saudi Arabia Traffic of Saudi and Foreign Airlines-International and Domestic Airports for 2008 - 2018. Data from General Authority for Statistics . Export API data for more datasets to advance energy economics research.note: no data for the year 2017.Source : Civil Aviation Presidency.

Introduction This dataset provides gravity observations, reductions and metadata for New Zealand’s national airborne gravity survey at flight elevation. A full description of each field in this dataset is available in the accompanying pdf NZ Airborne Gravity Flight Lines at Elevation (2013-2014) Description.

Description New Zealand’s national airborne gravity dataset is comprised of more than 50,000 linear km of flight observations, covering the three main islands of New Zealand and up to 10km offshore.

Gravity observations can be used to compute gravity anomalies: differences between measured gravity and an ellipsoidal model of the Earth’s gravity field. Gravity anomalies correspond to un-modelled density variations within the Earth’s crust and upper mantle. They are used to investigate concealed geological structures and for quasigeoid modelling.

The national airborne gravity dataset was collected as a joint project between Toitū Te Whenua Land Information New Zealand (LINZ), GNS Science (GNS) and Victoria University of Wellington (VUW). The airborne survey was completed in a total of eight months, over two campaigns: August – October 2013, and February – June 2014.

Users may also be interested raster layers created for each of the free-Air and Bouguer Anomalies which have been downward continued to ground surface NZ Airborne Gravity Free-Air Anomalies at Ground Surface (2013-2014) and NZ Airborne Gravity Bouguer Anomalies at Ground Surface (2013-2014).

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Online Travel Booking Platform Market Size 2025-2029

The online travel booking platform market size is forecast to increase by USD 2266.6 billion, at a CAGR of 20.6% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing use of the internet and smartphones for travel planning and booking. This digital shift is facilitated by the widespread adoption of online payment platforms, enabling seamless transactions and enhancing user convenience. However, the market is not without challenges. Disruptions in travel demand, such as those caused by geopolitical instability or health crises, pose a threat to market growth. Companies must remain agile and adapt to these uncertainties by diversifying their offerings and exploring new markets. Additionally, maintaining strong customer relationships through personalized services and competitive pricing is crucial for market success. As the market continues to evolve, players must stay informed of emerging trends and consumer preferences to capitalize on opportunities and navigate challenges effectively.

What will be the Size of the Online Travel Booking Platform Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe online travel booking market continues to evolve, driven by advancements in technology and shifting consumer preferences. Mobile apps have become a dominant force, offering convenience and ease of use for travelers on-the-go. Customer lifetime value and inventory management are key focus areas for players in this sector, with third-party providers and package deals playing essential roles in expanding offerings. Social media marketing and activity bookings are emerging trends, while destination marketing and rating systems enhance the user experience. Search functionality, churn rate, and metasearch engines are crucial components of price comparison and booking engines. Data analytics, sorting algorithms, and loyalty programs help optimize performance and retain customers. Real-time availability, dynamic pricing, and fraud detection are essential for securing transactions in the ever-changing market. Flight bookings, car rentals, and hotel reservations are core offerings, with API integrations and visa assistance adding value. Revenue management, conversion rates, user experience, and website design are critical factors influencing customer acquisition and retention. Travel agents and tour operators are adapting to the digital landscape, while recommendation engines and user reviews shape the future of personalized travel experiences. Data privacy and security protocols are seamlessly integrated into the market's ongoing dynamics, ensuring a secure and trustworthy environment for all stakeholders.

How is this Online Travel Booking Platform Industry segmented?

The online travel booking platform industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. PlatformMobile/tabletDesktop/laptopTypePackagesDirectEnd-userLeisureBusinessMode Of BookingDirectThird-partyGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth KoreaRest of World (ROW)

By Platform Insights

The mobile/tablet segment is estimated to witness significant growth during the forecast period.The online travel booking market in the US is experiencing dynamic trends, with mobile apps emerging as a preferred choice for customers. Filtering options and search functionality enable users to find deals and packages tailored to their preferences. Customer lifetime value is a crucial metric for revenue management, while inventory management ensures real-time availability of flights, hotels, and activities. Third-party providers expand offerings, and social media marketing boosts customer engagement. Destination marketing and activity bookings cater to niche travelers, while rating systems and user reviews foster trust. Metasearch engines and price comparison tools help consumers compare deals, and email marketing maintains customer relationships. Loyalty programs and dynamic pricing offer personalized incentives. Flight bookings and car rentals are integral components, with booking engines and API integrations streamlining processes. Fraud detection and visa assistance ensure secure transactions. Cloud computing and data analytics optimize performance, while conversion rates and user experience are essential for customer acquisition. Hotel reservations and travel agents cater to various segments, and recommendation engines suggest tailored travel packages. Customer support and booking confirmation are essential for retention. Currency exchange and cancellation polic