In the fiscal year 2024/25, Qatar Airways had a capacity of around *** billion available seat kilometers. Apart from 2021 when much of the airline industry was affected by the COVID-19 pandemic, Qatar Airways has seen a consistent increase in its available seat kilometers throughout the years.

This dataset is about airline operations and performance. The data is quantitative and numerical in nature. It can be analyzed and used to derive insights on the airline's performance, capacity utilization, revenue generation, and efficiency. This type of data is commonly used in the airline industry for performance analysis, benchmarking, and decision-making purposes.

1. Month: This column refers to the month in which the data was recorded.

2. DEPARTURES: The number of flights that departed during the month in question.

3. HOURS: Hours flown by the airline during the month in question. This can be used to track the airline's utilization of its fleet.

4. KILOMETRE(TH): Kilometers flown by the airline during the month, measured in thousands. This can be used to track the airline's overall operational performance.

5. PASSENGERS CARRIED: Number of passengers carried by the airline during a given month.

6. PASSENGER KMS.PERFORMED(TH): Passenger kilometers performed by the airline during the month, measured in thousands. This can be used to track the airline's revenue performance.

7. AVAILABLE SEAT KILOMETRE(TH): Seat kilometers available on the airline's flights during the month, measured in thousands. This can be used to track the airline's capacity utilization.

8. PAX.LOAD FACTOR (IN %): Percentage of available seats that were actually occupied by passengers during the month in question. This is a key metric for airlines, as it indicates how effectively they are filling their planes.

The three largest U.S. full-cost carriers sit atop the list of passenger kilometers (RPKs) flown worldwide in 2024, with United Airlines managing to reach top spot with *** billion RPKs. Delta Air Lines ranked second with ****billion RPKs, while American Airlines rounded out the top three with *** billion. Revenue passenger kilometers Revenue passenger kilometers (or revenue passenger miles, in some territories) are a measure of passenger demand in a given market. They are calculated by multiplying the number of revenue-paying passengers aboard an aircraft by the distance the aircraft traveled. Often RPKs are compared to available seat kilometers (ASKs), which are the number of seats available for sale on an aircraft multiplied by the distance flown. ASKs effectively measure supply in a given market, with the goal of airlines being to match their ASKs offered with their RPKs flown. Airline metrics Across most airline industry metrics the large full-cost U.S. airlines dominate. Looking at only the number of passengers flown, American and Delta again sit in first and second place, with U.S. low-cost carrier Southwest coming in ***** just ahead of United. Revenue figures tells a similar story, but with German national carrier Lufthansa replacing Southwest. However, when considering the number of airport pairs served, all the U.S. carriers are beaten out by Irish low-cost carrier Ryanair, who serve nearly ** percent more airport pairs than American Airlines.

Graph and download economic data for Revenue Passenger Miles for U.S. Air Carrier Domestic and International, Scheduled Passenger Flights (RPM) from Jan 2000 to Jul 2025 about flight, miles, passenger, air travel, travel, revenue, domestic, and USA.

Operator Passenger Figures include annual, bi-annual, quarterly and/or monthly passenger figures (passengers, available seat kilometres/miles (ASK/ASM), revenue passenger seat kilometres/miles (RPK/RPM), load factors) for commercial airlines worldwide based on a wide range of operator and government sources.

The data set is updated monthly.

The sample dataset presents passenger figures for Swiss, Alaska Airlines, and Horizon Air beginning in 2011.

Contact us to get access to ch-aviation's AWS S3 sample data bucket as well allowing you to build proof of concepts with all of our sample data.

The direct bucket URL for this data set is: https://eu-central-1.console.aws.amazon.com/s3/buckets/dataservices-standardised-samples?region=eu-central-1&bucketType=general&prefix=operator_passenger_figures/&showversions=false

Full Technical Data Dictionary: https://about.ch-aviation.com/operator-passenger-figures/

Over the five years through 2023, revenue for the airline industry in China has fallen at a CAGR of 10.6% to a total of $49.2 billion. This includes a growth of 53.2% in the current year. The Airlines industry has been affected by COVID-19 for three consecutive years since 2020. Total passenger volumes declined by 37.7% in 2020 to 417.8 million and grew slightly by 5.5% to 440.8 million in 2021. In 2022, passenger volumes declined by 43.2% to 250.2 million.The industry is subject to fierce competition, leading to low-profit margins. The challenges faced in the past five years include travel restrictions caused by COVID-19, the unstable global economy, and high aviation fuel prices, which led to industry losses in 2020, 2021, and 2022. Due to the relaxation of travel restrictions, the airline industry will gradually recover in 2023.Over the five years through 2028, industry revenue is forecast to grow at a CAGR of 11.5% to $84.9 billion. Growth will likely stabilize as air traffic volumes increase steadily and the industry matures gradually. Still, volatile jet fuel prices will remain a significant risk factor for industry operators. ACMR-IBISWorld also anticipates that competition among airlines and profit squeezing will be somewhat alleviated with further industry consolidation. Other notable trends include an increasingly private and foreign presence in the industry and the rapid development of regional airlines in China's second and third-tier cities.

In 2021, due to travel restrictions worldwide, the available seat kilometers (ASKs) of British Airways plc amounted to only **** billion. ASKs increased to over *** billion in 2022. British Airways plc is a group formed by nearly ** companies with headquarters at Harmondsworth, United Kingdom (UK). British Airways flights include national and international destinations, low fares as well as cargo and passengers flights.

This record is a global open-source passenger air traffic dataset primarily dedicated to the research community. It gives a seating capacity available on each origin-destination route for a given year, 2019, and the associated aircraft and airline when this information is available. Context on the original work is given in the related article (https://journals.open.tudelft.nl/joas/article/download/7201/5683) and on the associated GitHub page (https://github.com/AeroMAPS/AeroSCOPE/).A simple data exploration interface will be available at www.aeromaps.eu/aeroscope.The dataset was created by aggregating various available open-source databases with limited geographical coverage. It was then completed using a route database created by parsing Wikipedia and Wikidata, on which the traffic volume was estimated using a machine learning algorithm (XGBoost) trained using traffic and socio-economical data. 1- DISCLAIMER The dataset was gathered to allow highly aggregated analyses of the air traffic, at the continental or country levels. At the route level, the accuracy is limited as mentioned in the associated article and improper usage could lead to erroneous analyses. Although all sources used are open to everyone, the Eurocontrol database is only freely available to academic researchers. It is used in this dataset in a very aggregated way and under several levels of abstraction. As a result, it is not distributed in its original format as specified in the contract of use. As a general rule, we decline any responsibility for any use that is contrary to the terms and conditions of the various sources that are used. In case of commercial use of the database, please contact us in advance. 2- DESCRIPTION Each data entry represents an (Origin-Destination-Operator-Aircraft type) tuple. Please refer to the support article for more details (see above). The dataset contains the following columns:

"First column" : index airline_iata : IATA code of the operator in nominal cases. An ICAO -> IATA code conversion was performed for some sources, and the ICAO code was kept if no match was found. acft_icao : ICAO code of the aircraft type acft_class : Aircraft class identifier, own classification.

WB: Wide Body NB: Narrow Body RJ: Regional Jet PJ: Private Jet TP: Turbo Propeller PP: Piston Propeller HE: Helicopter OTHER seymour_proxy: Aircraft code for Seymour Surrogate (https://doi.org/10.1016/j.trd.2020.102528), own classification to derive proxy aircraft when nominal aircraft type unavailable in the aircraft performance model. source: Original data source for the record, before compilation and enrichment.

ANAC: Brasilian Civil Aviation Authorities AUS Stats: Australian Civil Aviation Authorities BTS: US Bureau of Transportation Statistics T100 Estimation: Own model, estimation on Wikipedia-parsed route database Eurocontrol: Aggregation and enrichment of R&D database OpenSky World Bank seats: Number of seats available for the data entry, AFTER airport residual scaling n_flights: Number of flights of the data entry, when available iata_departure, iata_arrival : IATA code of the origin and destination airports. Some BTS inhouse identifiers could remain but it is marginal. departure_lon, departure_lat, arrival_lon, arrival_lat : Origin and destination coordinates, could be NaN if the IATA identifier is erroneous departure_country, arrival_country: Origin and destination country ISO2 code. WARNING: disable NA (Namibia) as default NaN at import departure_continent, arrival_continent: Origin and destination continent code. WARNING: disable NA (North America) as default NaN at import seats_no_est_scaling: Number of seats available for the data entry, BEFORE airport residual scaling distance_km: Flight distance (km) ask: Available Seat Kilometres rpk: Revenue Passenger Kilometres (simple calculation from ASK using IATA average load factor) fuel_burn_seymour: Fuel burn per flight (kg) when seymour proxy available fuel_burn: Total fuel burn of the data entry (kg) co2: Total CO2 emissions of the data entry (kg) domestic: Domestic/international boolean (Domestic=1, International=0)

3- Citation Please cite the support paper instead of the dataset itself.

Salgas, A., Sun, J., Delbecq, S., Planès, T., & Lafforgue, G. (2023). Compilation of an open-source traffic and CO2 emissions dataset for commercial aviation. Journal of Open Aviation Science. https://doi.org/10.59490/joas.2023.7201

Airline Seat Inventory Optimization Market Outlook

According to our latest research, the global airline seat inventory optimization market size reached USD 1.47 billion in 2024, driven by the increasing adoption of advanced analytics and AI-powered solutions across the aviation sector. The market is expected to grow at a robust CAGR of 9.2% from 2025 to 2033, reaching a projected value of USD 3.26 billion by 2033. This impressive growth is primarily fueled by airlines’ urgent need to maximize revenue through dynamic pricing, demand forecasting, and real-time inventory management, all while improving passenger experience and operational efficiency.

One of the primary growth factors for the airline seat inventory optimization market is the mounting pressure on airlines to enhance profitability in a highly competitive and price-sensitive environment. With fluctuating fuel prices, evolving customer expectations, and the proliferation of low-cost carriers, airlines are increasingly turning to sophisticated inventory optimization tools that leverage big data and machine learning. These technologies enable carriers to make data-driven decisions on seat allocation, pricing, and overbooking strategies, ensuring maximum revenue per available seat kilometer (RASK). Furthermore, the integration of real-time data sources, such as booking trends, historical data, and external factors like weather or global events, allows airlines to respond swiftly to changing market dynamics.

Another significant driver is the surge in digital transformation initiatives within the aviation industry. Airlines are investing heavily in next-generation IT infrastructure and cloud-based platforms to streamline operations and personalize customer offerings. The shift from legacy systems to integrated airline seat inventory optimization solutions facilitates seamless communication between revenue management, sales, and distribution channels. This not only improves operational agility but also supports the deployment of dynamic pricing models and ancillary revenue strategies, such as seat selection fees and baggage charges. As digitalization accelerates, the demand for scalable, flexible, and secure optimization platforms continues to rise.

Additionally, the increasing focus on passenger experience and loyalty is propelling the adoption of seat inventory optimization solutions. Airlines recognize that effective inventory management directly impacts customer satisfaction by minimizing denied boardings, optimizing seat availability, and enabling personalized offers. Advanced algorithms can predict booking patterns and suggest targeted upgrades or cross-selling opportunities, enhancing both customer engagement and revenue streams. As airlines strive to differentiate themselves in a crowded market, the ability to deliver a seamless and tailored travel experience through intelligent seat allocation becomes a critical competitive advantage.

From a regional perspective, North America currently dominates the airline seat inventory optimization market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The presence of major airlines, early adoption of digital solutions, and a mature aviation ecosystem contribute to North America's leadership. However, Asia Pacific is poised for the fastest growth over the forecast period, driven by rapid air traffic expansion, increasing middle-class population, and significant investments in aviation infrastructure. Meanwhile, Latin America and the Middle East & Africa are expected to witness steady growth as airlines in these regions modernize their operations and embrace data-driven inventory management strategies.

Component Analysis

The component segment of the airline seat inventory optimization market is bifurcated into software and services, each playing a pivotal role in the overall ecosystem. Software solutions form the backbone of inventory optimization, offering advanced analytics, machine learning algorithms, and real-time data processing capabilities. These platfor

This is a link to the Bureau of Infrastructure, Transport and Regional Economics web site. Files containing domestic aviation time series data covering aircraft and passenger movements, available seats, load factors, hours and kilometres flown, revenue passenger kilometres and available seat kilometres. Details for the top competitive routes are also provided.

In the fiscal year of 2023, Delta Air Lines’ revenue passenger miles came to around 232.2 billion. The company's revenue passenger miles incrementally increased over the past decade, before experiencing a sudden decline as a result of the COVID-19 pandemic in 2020. What are revenue passenger miles? The result of multiplying the number of revenue-paying passengers by the distance traveled is referred as revenue passenger miles (or kilometers). Thus, one revenue passenger mile is approximately equal to one revenue-paying passenger transported one mile. An increase in revenue passenger miles is positive for an airline, as it means that more passengers are using its service. The U.S. airline industry saw an increase in total RPMs' over the last decade until the coronavirus pandemic, when decreased from roughly 1.1 trillion U.S. dollars to approximately 378 billion U.S. dollars . In 2021, the company's RPM stared increasing again. Delta's RPM in comparison When contrasted with the over 272 billion available seat miles Delta had in 2023, it is apparent that Delta has a high load factor, meaning that the company is efficient at selling seats and generating income. The airline's income was at 4.6 billion U.S. dollars in that same period. Looking at Delta's main competitors: American Airlines has a higher RPM (at just under 216 billion), while Southwest trails behind with approximately 124 billion U.S. dollars.

Passenger Airlines (Airlines whose primary business is the transport of passengers) market has evolved dramatically in the recent years. The report Chile Passenger Airlines Market to 2025: Market Segments Sizing and Revenue Analytics provides deep dive data analytics on wide ranging Passenger Airlines market aspects including overall airlines no. of seats sold, load factor, passenger kilometers available etc. all categorized by different service offerings – Low Cost, Full Service and Charter Services. Furthermore, the report details out number of revenue-generating airline passenger kilometers since 2016 to 2025 along with other critical aspects of the Passenger Airlines market. Read More

Covers Regular Public Transport (RPT) air services between Australian airports. Data is by city pair and month for passengers carried, aircraft trips, great circle distance between two airports (connected to city), Revenue Passenger Kilometres (RPKs), Available Seat Kilometres (ASKs) and Seats.

Passenger Airlines (Airlines whose primary business is the transport of passengers) market has evolved dramatically in the recent years. The report Bulgaria Passenger Airlines Market to 2025: Market Segments Sizing and Revenue Analytics provides deep dive data analytics on wide ranging Passenger Airlines market aspects including overall airlines no. of seats sold, load factor, passenger kilometers available etc. all categorized by different service offerings – Low Cost, Full Service and Charter Services. Furthermore, the report details out number of revenue-generating airline passenger kilometers since 2016 to 2025 along with other critical aspects of the Passenger Airlines market. Read More

Passenger Airlines (Airlines whose primary business is the transport of passengers) market has evolved dramatically in the recent years. The report Argentina Passenger Airlines Market to 2025: Market Segments Sizing and Revenue Analytics provides deep dive data analytics on wide ranging Passenger Airlines market aspects including overall airlines no. of seats sold, load factor, passenger kilometers available etc. all categorized by different service offerings – Low Cost, Full Service and Charter Services. Furthermore, the report details out number of revenue-generating airline passenger kilometers since 2016 to 2025 along with other critical aspects of the Passenger Airlines market. Read More

Passenger Airlines (Airlines whose primary business is the transport of passengers) market has evolved dramatically in the recent years. The report Austria Passenger Airlines Market to 2025: Market Segments Sizing and Revenue Analytics provides deep dive data analytics on wide ranging Passenger Airlines market aspects including overall airlines no. of seats sold, load factor, passenger kilometers available etc. all categorized by different service offerings – Low Cost, Full Service and Charter Services. Furthermore, the report details out number of revenue-generating airline passenger kilometers since 2016 to 2025 along with other critical aspects of the Passenger Airlines market. Read More

Three interrelated metrics are tracked by the indicator Capacity vs. Demand vs. Passenger (PAX) Load Factor in the Domestic Market in India: load factor (the percentage of offered seats that are filled with paying passengers), demand (the number of passengers actually travelling or revenue passenger kilometres), and capacity (the number of available seat kilometres or seats offered by airlines). Airlines are filling the majority of their available seats, as evidenced by this high ratio, which shows a solid alignment between capacity deployment and travel demand. This measure is important for several parties involved: A high load factor is interpreted by airlines and industry observers as a sign of improved financial performance and effective aircraft use. Comparing capacity expansion to demand growth helps infrastructure planners and aviation regulators determine if the network is growing in line with market demands or whether there is either under-capacity (which could result in higher fares and unmet demand) or over-capacity (which could risk poor occupancy). Given the high demand compared to capacity in India, the domestic market appears to have significant development potential. However, in order to prevent bottlenecks, infrastructure expansion (aircraft, airports, and air traffic control) must keep up. These measures are used by policymakers to create financial support programs, airport expansion, and route licensing, guaranteeing that India can continue to be one of the aviation markets with the quickest growth rates.

Passenger Airlines (Airlines whose primary business is the transport of passengers) market has evolved dramatically in the recent years. The report Belgium Passenger Airlines Market to 2025: Market Segments Sizing and Revenue Analytics provides deep dive data analytics on wide ranging Passenger Airlines market aspects including overall airlines no. of seats sold, load factor, passenger kilometers available etc. all categorized by different service offerings – Low Cost, Full Service and Charter Services. Furthermore, the report details out number of revenue-generating airline passenger kilometers since 2016 to 2025 along with other critical aspects of the Passenger Airlines market. Read More

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Low-Cost Carrier (LCC) Market Size 2025-2029

The low-cost carrier (LCC) market size is forecast to increase by USD 348.2 billion, at a CAGR of 15.4% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing air passenger traffic worldwide. This trend is fueled by the rising preference for affordable travel options, making LCCs an attractive choice for price-sensitive consumers. However, this market is not without challenges. Operating expenses for LCC companies continue to rise, putting pressure on their profitability. The need to maintain low fares while managing these costs presents a significant challenge. Moreover, the increasing adoption of smart airports and advanced technologies, such as contactless check-in and mobile applications, is transforming the industry landscape. LCCs must adapt to these trends to remain competitive and provide a seamless travel experience for their customers.
In summary, the LCC market is characterized by robust growth, fueled by increasing passenger traffic and cost-conscious consumers, while facing challenges from rising operating expenses and the need to innovate to stay competitive in a rapidly evolving industry. Companies seeking to capitalize on market opportunities and navigate challenges effectively must focus on optimizing their operational costs, leveraging technology to enhance the customer experience, and continuously adapting to changing market dynamics.

What will be the Size of the Low-Cost Carrier (LCC) 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.
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In the market, dynamics continue to evolve, shaping various sectors with ongoing activities and patterns. Ground handling processes are streamlined through self-service kiosks and digital platforms, optimizing distribution channels and reservation systems. Yield management software and pricing strategies adapt to passenger demand, while route planning and seat allocation are fine-tuned for maximum load factor and capacity utilization. Revenue management and passenger loyalty programs are leveraged to generate ancillary revenue through dynamic pricing and slot allocation. Risk management and airline alliances are essential for cost optimization and fuel efficiency, as LCCs navigate the complexities of turnaround time and fleet management.

Passenger experience is a top priority, with in-flight entertainment, cabin crew training, and customer service enhancing the overall journey. Safety regulations, airport infrastructure, technical maintenance, and sustainability initiatives are continually addressed to ensure operational efficiency and regulatory compliance. Cargo operations, charter flights, aircraft leasing, and digital transformation are additional areas of focus for LCCs, as they adapt to the ever-changing market landscape. Code sharing agreements, unaccompanied minors, online check-in, and web check-in are integral components of the LCC business model, further emphasizing the continuous dynamism of this sector. In this competitive environment, LCCs must remain agile, addressing the challenges of aviation safety, flight scheduling, inventory management, and aircraft maintenance, while maintaining a focus on passenger experience and cost optimization.

How is this Low-Cost Carrier (LCC) Industry segmented?

The low-cost carrier (LCC) 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.

Service

  Passenger service
  Cargo service


Type

  Narrow body
  Wide body


Haul

  Short Haul
  Long Haul


Geography

  North America

    US
    Canada


  Europe

    Germany
    Italy
    Spain
    UK


  APAC

    Australia
    China
    India
    Japan


  Rest of World (ROW)

By Service Insights

The passenger service segment is estimated to witness significant growth during the forecast period.

The market has experienced significant growth due to the rising number of air passengers. According to the International Air Transport Association (IATA), global passenger demand, measured in revenue passenger kilometers (RPKs), increased by 8.1% year-on-year in November 2024, while capacity, measured in available seat kilometers (ASK), grew by 5.7%. This led to a load factor of 83.4%, an improvement of 1.9 percentage points. International passenger demand surged by 11.6% compared to November 2023, with capacity expanding by 8.6%, resulting in a higher load factor. LCCs face substantial fuel costs, which can significantly impact their profitability, as they already offer lower fares than traditional carriers.

Self-service kiosks and online check-in have become common practices in th

Monthly operating and financial statistics (number of thousands of: passengers, passenger-kilometres, available seat-kilometres, load factor, hours flown, turbo fuel consumed in litres, and total operating revenues) for major Canadian airlines.