The Flight Data API market is experiencing robust growth, driven by the increasing demand for real-time flight information across various sectors. The aviation industry itself relies heavily on these APIs for operational efficiency, optimizing schedules, managing resources, and improving passenger experiences. Beyond airlines, travel agencies, logistics companies, and even weather forecasting services leverage flight data APIs to enhance their offerings and decision-making processes. This widespread adoption fuels market expansion, particularly with the rise of mobile applications and the need for dynamic, up-to-the-minute flight updates. The market's segmentation reflects this diverse user base, with specialized APIs catering to specific needs, such as flight tracking, schedule data, and real-time status updates. Competition is relatively high, with a mix of established players and emerging startups offering varying levels of data granularity and service features. This competitive landscape drives innovation and pushes providers to continually improve their data accuracy, coverage, and integration capabilities. Significant growth is expected in the forecast period (2025-2033), propelled by advancements in data analytics and the integration of flight data into broader business intelligence platforms. The increasing adoption of cloud-based solutions and the growing demand for personalized travel experiences further contribute to the market’s expansion. However, challenges exist, including data security concerns, regulatory complexities surrounding data access, and the potential for inaccuracies in real-time flight information due to unforeseen circumstances. To mitigate these risks, market players are focusing on robust data validation processes, enhanced security measures, and transparent communication with users. The ongoing development of innovative applications and services built upon Flight Data APIs ensures the market's continued evolution and substantial growth potential. Given the current market dynamics, a conservative estimate places the 2025 market size at $500 million, growing at a 15% CAGR over the next eight years.

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

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

Flight API Aggregator Market Outlook

According to our latest research, the global Flight API Aggregator market size reached USD 2.6 billion in 2024, and is projected to grow at a robust CAGR of 13.2% from 2025 to 2033. By the end of 2033, the market is expected to achieve a value of USD 7.8 billion. This significant expansion is powered by the increasing digitalization of the travel industry, the growing demand for seamless travel booking experiences, and the proliferation of online travel agencies and platforms integrating multiple airline data sources to offer real-time flight information and booking capabilities.

One of the primary growth drivers for the Flight API Aggregator market is the accelerated adoption of digital technologies across the travel and tourism sector. As travelers increasingly prefer online channels for booking flights, hotels, and other travel-related services, the need for efficient, reliable, and comprehensive flight data aggregation has become paramount. Flight API aggregators serve as a bridge between airlines and travel platforms, offering real-time access to flight schedules, pricing, seat availability, and ancillary services. This seamless integration streamlines the booking process for end-users and enhances customer satisfaction, driving further demand for advanced API solutions. Additionally, the rise of mobile applications and the proliferation of smartphones have made it essential for travel businesses to offer instant, on-the-go flight information, further fueling the adoption of Flight API Aggregators.

Another crucial factor propelling the growth of the Flight API Aggregator market is the increasing competition among airlines and travel agencies to offer differentiated and value-added services. With consumers seeking personalized travel experiences, aggregators play a pivotal role in enabling travel businesses to access a wide spectrum of flight data, including dynamic pricing, special offers, and loyalty program integrations. This capability allows travel agencies, online travel platforms, and even corporate travel managers to curate unique offerings tailored to specific customer segments. The ability to compare multiple airlines and routes in real time not only boosts transparency but also empowers end-users to make informed decisions, thereby fostering customer loyalty and repeat business.

Furthermore, the ongoing advancements in API technology, such as the integration of artificial intelligence (AI), machine learning, and predictive analytics, are transforming the capabilities of Flight API Aggregators. These innovations enable more accurate forecasting of flight delays, cancellations, and pricing trends, enhancing the overall value proposition for both B2B and B2C clients. Additionally, the growing emphasis on partnerships and collaborations between airlines, travel agencies, and technology providers is leading to the development of more robust and scalable API aggregation platforms. As a result, the market is witnessing a surge in demand from not only traditional travel agencies but also emerging online travel startups and corporate travel management companies seeking to optimize their operations and deliver superior customer experiences.

From a regional perspective, North America currently leads the Flight API Aggregator market, driven by the high concentration of technologically advanced travel companies, widespread internet penetration, and the presence of major airlines and global distribution systems. However, the Asia Pacific region is anticipated to exhibit the fastest growth rate during the forecast period, owing to the rapid digital transformation of the travel industry, increasing disposable incomes, and the surge in international and domestic air travel. Europe also remains a significant contributor, with its mature travel market and strong focus on innovation and customer-centric solutions. The Middle East & Africa and Latin America are gradually catching up, supported by rising tourism activities and ongoing investments in travel technology infrastructure.

Component Analysis

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Fetched flight data between various cities such as Bombay(Bom) to NewYork(NYC).

Features: 1. Airline, 2. Flight Number, 3. Source City, 4. Departure Time, 5. Stops, 6. Arrival Time, 7. Destination City, 8. Class, 9. Duration, 10. Days Left, 11. Price (INR)

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.

Airline Merchandising API Market Outlook

According to our latest research, the global airline merchandising API market size reached USD 1.82 billion in 2024, demonstrating robust momentum in the digital aviation sector. The market is expected to expand at a CAGR of 13.5% from 2025 to 2033, with a forecasted value of USD 5.79 billion by 2033. This impressive growth is primarily driven by the increasing adoption of digital distribution channels, the rising demand for personalized passenger experiences, and the proliferation of ancillary revenue streams across the airline industry. Airlines worldwide are leveraging merchandising APIs to modernize their retailing strategies, streamline operational processes, and create differentiated offerings in an increasingly competitive landscape.

One of the primary growth factors propelling the airline merchandising API market is the industry’s strategic shift towards ancillary revenue generation. Airlines are no longer solely dependent on ticket sales; instead, they are actively exploring new revenue streams through personalized offers, dynamic pricing, and bundled services. Merchandising APIs enable seamless integration of these ancillary products—such as baggage fees, seat selection, in-flight meals, and priority boarding—into booking platforms. This empowers airlines to deliver targeted promotions and cross-sell opportunities, significantly enhancing both customer satisfaction and profitability. The flexibility and scalability of modern APIs also allow carriers to respond rapidly to market changes and passenger preferences, further fueling market growth.

Another significant driver is the acceleration of digital transformation across the aviation sector. As airlines invest in cloud-based platforms, advanced analytics, and artificial intelligence, merchandising APIs play a pivotal role in enabling real-time data exchange and automation. These APIs facilitate the integration of complex pricing algorithms, inventory management systems, and customer relationship management tools, creating a unified digital ecosystem. This not only streamlines back-end processes but also enables airlines to offer hyper-personalized experiences to passengers, such as customized travel bundles and loyalty rewards. The resulting operational efficiencies and improved customer engagement are compelling airlines of all sizes to adopt merchandising API solutions at an unprecedented rate.

The growing collaboration between airlines and third-party travel agencies is also a catalyst for the expansion of the airline merchandising API market. Travel agencies, online travel aggregators (OTAs), and global distribution systems (GDS) rely on robust APIs to access airline inventories, dynamic pricing, and tailored offers in real time. This fosters a more transparent and competitive marketplace, where travelers can compare and customize their travel options with ease. Furthermore, the rise of low-cost carriers and the democratization of air travel in emerging markets have amplified the need for scalable and interoperable merchandising APIs, ensuring that airlines can efficiently reach and engage diverse customer segments worldwide.

From a regional perspective, North America holds the largest share of the airline merchandising API market, driven by the presence of major airlines, advanced IT infrastructure, and a mature ancillary revenue ecosystem. Europe follows closely, benefiting from regulatory support for open distribution and strong digital innovation. The Asia Pacific region is witnessing the fastest growth, fueled by rapid air travel expansion, rising middle-class incomes, and increasing investments in digital aviation technologies. Meanwhile, Latin America and the Middle East & Africa are emerging as promising markets, with airlines in these regions actively pursuing digital transformation initiatives to enhance competitiveness and customer experience.

Component Analysis

The airline merchandising API market is segmented by component into <

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

The flight search software market is experiencing robust growth, driven by the increasing adoption of online travel booking platforms and the surging demand for air travel globally. The market, estimated at $10 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This expansion is fueled by several key factors. Firstly, the continuous improvement in software capabilities, including advanced search algorithms, personalized recommendations, and seamless integration with other travel services, enhances user experience and drives adoption. Secondly, the mobile-first approach of many platforms caters to the growing preference for booking flights via smartphones and tablets. Thirdly, the increasing competition among established players like Expedia, Google Flights, and Kayak, along with the emergence of innovative startups, fosters innovation and wider market penetration. The market segmentation reveals significant opportunities in regions like North America and Europe, but also shows promising growth in emerging markets driven by rising disposable incomes and increased internet penetration. However, the market also faces certain restraints. The high dependence on airline APIs and data feeds can create vulnerabilities and limitations. Maintaining data accuracy and real-time updates is crucial for user trust and competitive advantage. Furthermore, regulatory changes related to data privacy and security present ongoing challenges for businesses. Despite these factors, the long-term outlook remains positive, supported by continuous technological advancements, changing consumer behavior, and the predicted steady expansion of the global air travel sector. The competitive landscape, with both established giants and agile newcomers, ensures a dynamic market with ongoing innovation and a focus on enhancing user experience to capture market share.

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 inform

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": }, ... ]

Sky Airlines S A Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

The Flight Status Information Flight System market is experiencing robust growth, driven by increasing air travel demand and the imperative for enhanced flight safety and operational efficiency. The market, estimated at $5 billion in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching approximately $9 billion by 2033. This growth is fueled by several key factors. Firstly, the integration of advanced technologies such as real-time data analytics, improved satellite communication, and sophisticated software algorithms is revolutionizing flight tracking and information dissemination. Secondly, stringent regulatory compliance mandates, demanding precise and timely flight status updates, are pushing airlines and air navigation service providers to upgrade their systems. Thirdly, the rising adoption of connected aircraft and the Internet of Things (IoT) is contributing to a more data-rich environment, facilitating better real-time flight status monitoring and predictive maintenance. The market is segmented by various components, including hardware, software, and services, with software solutions witnessing the fastest growth due to their flexibility and scalability. Major players such as Safran Group, Honeywell Aerospace, and Boeing are driving innovation through strategic partnerships and technological advancements. Geographic growth varies, with North America and Europe currently holding the largest market share due to well-established aviation infrastructure and robust regulatory frameworks. However, regions like Asia-Pacific are exhibiting rapid growth, driven by increasing air passenger traffic and investments in modernizing aviation infrastructure. Challenges remain, however. High initial investment costs associated with system implementation and maintenance can act as a restraint for smaller airlines. Furthermore, ensuring cybersecurity and data privacy in the increasingly interconnected aviation ecosystem requires continuous investment and vigilance. Nevertheless, the overall market outlook remains positive, with substantial growth opportunities driven by technological innovation and the ongoing need for reliable and efficient flight status information systems.

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

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

Explore comprehensive insights in Leads Rank TLD profiles, featuring detailed information for .flights. Utilize our API for efficient data access.

API-First Airport IT Architecture Market Outlook

According to our latest research, the global API-First Airport IT Architecture market size reached USD 3.12 billion in 2024. The industry is witnessing robust expansion, driven by the rising digital transformation initiatives in the aviation sector. With a projected CAGR of 14.7% from 2025 to 2033, the market is forecasted to achieve a value of USD 10.12 billion by 2033. The primary growth factor fueling this trajectory is the increasing demand for seamless, interoperable, and scalable IT solutions across airport operations, enabling stakeholders to enhance passenger experiences and operational efficiency.

A significant growth driver for the API-First Airport IT Architecture market is the aviation industry's urgent need for modernization. Airports and airlines are under constant pressure to deliver superior passenger experiences while optimizing operational costs. Traditional IT systems, often siloed and rigid, can no longer support the agility required in today’s fast-paced environment. By adopting an API-first approach, airport IT systems become modular, enabling quick integration of new services and technologies such as biometric authentication, real-time baggage tracking, and AI-powered analytics. This architectural shift supports faster time-to-market for innovative solutions and ensures that airports can swiftly adapt to changing passenger expectations and regulatory requirements.

Another key factor contributing to market growth is the proliferation of smart airports and the adoption of IoT-enabled devices. The API-first model is essential for integrating disparate systems, from passenger processing kiosks to security surveillance and baggage handling equipment. As airports increasingly deploy IoT devices to collect and analyze data, APIs provide the standardized communication layer necessary for real-time data sharing and automation. This interoperability accelerates the deployment of advanced analytics, predictive maintenance, and resource optimization applications, which are critical for minimizing downtime, enhancing safety, and improving overall airport efficiency.

Furthermore, the shift towards cloud-based solutions is amplifying the adoption of API-first architectures in airports. Cloud deployment offers scalability, flexibility, and cost efficiency, allowing airports of all sizes to access advanced IT capabilities without significant upfront investments. API-first strategies facilitate seamless cloud integration, enabling airports and airlines to leverage third-party services, scale operations dynamically, and maintain business continuity even during disruptions. This trend is particularly pronounced in regions with rapidly growing air traffic and infrastructure investments, such as Asia Pacific and the Middle East, where new airports are being designed with digital-first principles from the ground up.

From a regional perspective, North America currently dominates the API-First Airport IT Architecture market, followed closely by Europe and Asia Pacific. North America’s leadership is attributed to its early adoption of digital technologies, significant investments in airport modernization, and a strong presence of leading technology vendors. Meanwhile, Asia Pacific is projected to register the highest CAGR during the forecast period, driven by rapid urbanization, increasing air travel demand, and substantial investments in new airport infrastructure. Europe, with its focus on sustainability and smart airport initiatives, also presents considerable growth opportunities, while Latin America and the Middle East & Africa are expected to witness steady adoption as regional aviation sectors mature.

Component Analysis

The API-First Airport IT Architecture market by component is segmented into software and services, each playing a pivotal role in the digital transformation of airport operations. The software segment encompasses API management platforms, integration tools, and middleware solutions that enabl

The Future Schedules API is perfect for: • Travel agency and flight booking websites where users are expected to submit a date and view available flights • Websites, tools or apps to display scheduled flights on a given date • Flight schedule and airway traffic analysis based on region or dates

We have developed many filters you can use in the input to request the exact data you need without having to filter the data on your end.

The data includes: - Departure and arrival airport information: IATA codes - Weekday: The day of the week of the flight, "1" being Monday - Terminal and gate: The most common terminal and the gate number of the departing/arriving flight - Take-off information: Scheduled departure or arrival time of the flight - Aircraft details: Model code and text - Airline details: Name, IATA and ICAO codes - Flight information: Flight number with flight IATA and ICAO codes

1) Request For the departure schedule of a certain airport on a certain future date.

GET http://aviation-edge.com/v2/public/flightsFuture?key=[API_KEY]&type=departure&iataCode=BER&date=YYYY-MM-DD

For the arrival schedule of a certain airport on a certain future date.

GET http://aviation-edge.com/v2/public/flightsFuture?key=[API_KEY]&type=arrival&iataCode=BER&date=YYYY-MM-DD

For the flights that are scheduled to arrive at a certain airport on a certain date (out of a departure schedule).

GET http://aviation-edge.com/v2/public/flightsFuture?key=[API_KEY]&type=departure&iataCode=BER&arr_iataCode=ORY&date=YYYY-MM-DD

For the flights that are scheduled to depart from a certain airport on a certain date (out of an arrival schedule).

GET https://aviation-edge.com/v2/public/flightsFuture?key=[API_KEY]&type=arrival&iataCode=BER&dep_iataCode=ory&date=YYYY-MM-DD

2) Filters &iata_code= (obligatory) Departure or arrival airport IATA code depending on the "&type=" value &type= (obligatory) Either "departure" or "arrival" as both within the same query is not possible &date= (obligatory) Future date in YYYY-MM-DD format

&dep_iataCode= filter of departure airport if "arrival" for "&type=" was chosen, based on the airport IATA code &dep_icaoCode= filter of departure airport if "arrival" for "&type=" was chosen, based on the airport ICAO code &arr_iataCode= filter of arrival airport if "departure" for "&type=" was chosen, based on the airport IATA code &arr_icaoCode= filter of arrival airport if "departure" for "&type=" was chosen, based on the airport ICAO code &airline_iata= option to filter airline based on airline IATA code &airline=icao= option to filter airline based on airline ICAO code &flight_num= option to filter a specific flight based on its flight number

3) Example Output: [ {"weekday": "1", "departure": { "iataCode": "mty", "icaoCode": "mmmy", "terminal": "c", "gate": "f2", "scheduledTime": "20:35" }, "arrival": {"iataCode": "iah", "icaoCode": "kiah", "terminal": "d", "gate": "d12", "scheduledTime": "22:00" }, "aircraft": {"modelCode": "a320", "modelText": "airbus a320-232" }, "airline": {"name": "vivaaerobus", "iataCode": "vb", "icaoCode": "viv"}, "flight": {"number": "616", "iataNumber": "vb616", "icaoNumber": "viv616"} } ]

Note: Schedules that are up to 1 year ahead of the current date are available.

REQUIRED: A brief narrative summary of the data set.

Motivation

The data in this dataset is derived and cleaned from the full OpenSky dataset to illustrate the development of air traffic during the COVID-19 pandemic. It spans all flights seen by the network's more than 2500 members since 1 January 2019. More data will be periodically included in the dataset until the end of the COVID-19 pandemic.

License

See LICENSE.txt

Disclaimer

The data provided in the files is provided as is. Despite our best efforts at filtering out potential issues, some information could be erroneous.

• Origin and destination airports are computed online based on the ADS-B trajectories on approach/takeoff: no crosschecking with external sources of data has been conducted.
  Fields origin or destination are empty when no airport could be found.
• Aircraft information come from the OpenSky aircraft database. Fields typecode and registration are empty when the aircraft is not present in the database.

Description of the dataset

One file per month is provided as a csv file with the following features:

• callsign: the identifier of the flight displayed on ATC screens (usually the first three letters are reserved for an airline: AFR for Air France, DLH for Lufthansa, etc.)
• number: the commercial number of the flight, when available (the matching with the callsign comes from public open API)
• icao24: the transponder unique identification number;
• registration: the aircraft tail number (when available);
• typecode: the aircraft model type (when available);
• origin: a four letter code for the origin airport of the flight (when available);
• destination: a four letter code for the destination airport of the flight (when available);
• firstseen: the UTC timestamp of the first message received by the OpenSky Network;
• lastseen: the UTC timestamp of the last message received by the OpenSky Network;
• day: the UTC day of the last message received by the OpenSky Network;
• latitude_1, longitude_1, altitude_1: the first detected position of the aircraft;
• latitude_2, longitude_2, altitude_2: the last detected position of the aircraft.

Examples

Possible visualisations and a more detailed description of the data are available at the following page:
<https://traffic-viz.github.io/scenarios/covid19.html>

Credit

If you use this dataset, please cite:

Martin Strohmeier, Xavier Olive, Jannis Lübbe, Matthias Schäfer, and Vincent Lenders
"Crowdsourced air traffic data from the OpenSky Network 2019–2020"
Earth System Science Data 13(2), 2021
https://doi.org/10.5194/essd-13-357-2021