In 2023, the estimated number of scheduled passengers boarded by the global airline industry amounted to approximately *** billion people. This represents a significant increase compared to the previous year since the pandemic started and the positive trend was forecast to continue in 2024, with the scheduled passenger volume reaching just below **** billion travelers. Airline passenger traffic The number of scheduled passengers handled by the global airline industry has increased in all but one of the last decade. Scheduled passengers refer to the number of passengers who have booked a flight with a commercial airline. Excluded are passengers on charter flights, whereby an entire plane is booked by a private group. In 2023, the Asia Pacific region had the highest share of airline passenger traffic, accounting for ********* of the global total.

A. SUMMARY San Francisco International Airport Report on Monthly Passenger Traffic Statistics by Airline. B. HOW THE DATASET IS CREATED Data is self-reported by airlines and is only available at a monthly level C. UPDATE PROCESS Data updated quarterly D. HOW TO USE THIS DATASET Airport data is seasonal in nature, therefore any comparative analyses should be done on a period-over-period basis (i.e. January 2010 vs. January 2009) as opposed to period-to-period (i.e. January 2010 vs. February 2010). It is also important to note that fact and attribute field relationships are not always 1-to-1. For example, Passenger Counts belonging to United Airlines will appear in multiple attribute fields and are additive, which provides flexibility for the user to derive categorical Passenger Counts as desired.

In 2024, around **** percent of airline passenger traffic was operated by airline companies in the Asia-Pacific region. Meanwhile, Europe accounted for the second largest passenger traffic share, with **** percent.

This dataset provides monthly totals of US airline passengers from 1949 to 1960. This dataset is taken from a built-in dataset of R called AirPassengers. Analysts often employ various statistical techniques, such as decomposition, smoothing, and forecasting models, to analyze patterns, trends, and seasonal fluctuations within the data. Due to its historical nature and consistent temporal granularity, the Air Passengers dataset serves as a valuable resource for researchers, practitioners, and students in the fields of statistics, econometrics, and transportation planning.

In 2024, U.S. airlines recorded ****** million passengers on domestic and international flights. The previous year, the number of passengers at U.S. airports officially surpassed the pre-pandemic peak of ***** million passengers recorded in 2019.

China Air: Passenger Traffic: Domestic data was reported at 664.657 Person mn in 2024. This records an increase from the previous number of 590.516 Person mn for 2023. China Air: Passenger Traffic: Domestic data is updated yearly, averaging 95.618 Person mn from Dec 1970 (Median) to 2024, with 42 observations. The data reached an all-time high of 664.657 Person mn in 2024 and a record low of 0.210 Person mn in 1970. China Air: Passenger Traffic: Domestic data remains active status in CEIC and is reported by Civil Aviation Administration of China. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TI: Air: Passenger Traffic.

In 2021, more than two billion people flew by plane. The passenger traffic is anticipated to gradually increase, and the demand for air passengers is expected to surpass 10 billion.

Passengers enplaned and deplaned at Canadian airports, annual.

In 2024, the global air traffic passenger demand grew by **** percent compared to the previous year, when the passenger demand increased by **** percent. This figure was forecast to grow by eight percent in 2025.

Air passenger origin and destination data (passenger numbers, city rank), for transborder journeys, by total outbound and inbound passengers exceeding 4000, by city-pair, annual.

In 2023, air passenger transport in the European Union (EU-27) amounted to some 976.4 million passengers. This was a significant increase of 19 percent compared to the previous year. However, the 2023 value still slightly below the pre-pandemic year's figure due to the ongoing effects of the coronavirus pandemic, the cost of living crisis and rising energy and jet fuel prices. Altogether, they put pressure on airlines and air passengers.

Graph and download economic data for Enplanements for U.S. Air Carrier Domestic and International, Scheduled Passenger Flights (ENPLANED11) from Jan 2000 to May 2025 about flight, passenger, air travel, travel, domestic, and USA.

China Hainan Airline: Passenger Traffic: Domestic data was reported at 5,168.850 Person th in Mar 2025. This records a decrease from the previous number of 5,646.350 Person th for Feb 2025. China Hainan Airline: Passenger Traffic: Domestic data is updated monthly, averaging 3,740.411 Person th from Jan 2012 (Median) to Mar 2025, with 159 observations. The data reached an all-time high of 7,098.100 Person th in Aug 2019 and a record low of 445.860 Person th in Feb 2020. China Hainan Airline: Passenger Traffic: Domestic data remains active status in CEIC and is reported by Hainan Airlines Holding Company Limited. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TIC: Air: Hainan Airlines.

Dataset + pivot tables for Aviation.

This dataset contains the Yearly Percentage Growth in Scheduled Air Passenger Traffic. It includes yearly growth, annual compound growth for domestic and international, scheduled domestic and international passengers for different types of airlines.

This Dataset contains year-wise cumulative city pair-wise passenger, freight and mail traffic statistics

Bangladesh Air Traffic Movement: Passenger: Total data was reported at 1,585,904.000 Person in Dec 2023. This records an increase from the previous number of 1,417,178.000 Person for Nov 2023. Bangladesh Air Traffic Movement: Passenger: Total data is updated monthly, averaging 385,380.500 Person from Jan 1994 (Median) to Dec 2023, with 360 observations. The data reached an all-time high of 1,585,904.000 Person in Dec 2023 and a record low of 10,225.000 Person in Apr 2020. Bangladesh Air Traffic Movement: Passenger: Total data remains active status in CEIC and is reported by Bangladesh Bureau of Statistics. The data is categorized under Global Database’s Bangladesh – Table BD.TA003: Air Traffic Movement.

Airline Reservation Service Market Outlook

The global airline reservation service market size was valued at USD 5.4 billion in 2023 and is projected to reach USD 9.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 6.8% from 2024 to 2032. This remarkable growth can be attributed to the increasing demand for air travel, advancements in technology, and the rising preference for online booking systems among passengers. The continual expansion of the global aviation industry is a critical driver for the growth of the airline reservation service market.

One of the primary growth factors of the airline reservation service market is the significant increase in global air passenger traffic. The International Air Transport Association (IATA) forecasts that air passenger numbers could double by 2037, reaching 8.2 billion. This surge in air travel necessitates efficient and robust reservation systems to manage the growing number of bookings and passenger inquiries. Additionally, the evolution of low-cost carriers (LCCs) has made air travel more accessible, contributing to the increased need for sophisticated reservation systems to manage large volumes of transactions efficiently.

The integration of advanced technologies such as artificial intelligence (AI), machine learning (ML), and big data analytics into reservation systems is another key growth driver. These technologies enable airlines to provide personalized services, improve operational efficiency, and enhance the overall customer experience. AI-powered chatbots, for instance, can handle customer inquiries in real-time, reducing the workload on human staff and providing instant support to passengers. Moreover, big data analytics helps airlines in revenue management by predicting customer behavior and optimizing pricing strategies.

The implementation of a Revenue Management System for Travel is becoming increasingly vital in the airline industry. These systems are designed to optimize pricing strategies and maximize revenue by analyzing market trends, passenger behavior, and competitive pricing. By leveraging advanced analytics and AI algorithms, airlines can dynamically adjust ticket prices based on demand fluctuations and market conditions. This not only helps in achieving better financial performance but also ensures that airlines remain competitive in the market. As the airline industry continues to grow, the importance of sophisticated revenue management systems in driving profitability cannot be overstated.

Furthermore, the shift towards digitization and the growing preference for online and mobile booking platforms are significantly contributing to the market's expansion. With the proliferation of smartphones and internet penetration, passengers are increasingly inclined to book flights through online platforms rather than traditional travel agencies. This trend has compelled airlines to invest in modernizing their reservation systems to provide seamless and user-friendly interfaces for customers. The pandemic has further accelerated the adoption of digital solutions, as passengers prefer contactless transactions to minimize physical interactions.

The regional outlook for the airline reservation service market indicates robust growth across various geographies. North America is expected to dominate the market, driven by the presence of major airlines and advanced technological infrastructure. Europe also represents a significant market share due to the high adoption rate of digital booking systems and the presence of prominent airlines. The Asia Pacific region is anticipated to witness the highest growth rate, fueled by the rising disposable incomes, booming tourism industry, and increasing air passenger traffic in countries like China and India. Meanwhile, Latin America and the Middle East & Africa are also projected to exhibit substantial growth, supported by the expansion of the aviation industry and increasing investments in airport infrastructure.

Airline Retailing is transforming the way airlines interact with their customers, offering a more personalized and engaging experience. This approach involves the use of digital platforms to sell not only tickets but also ancillary services such as baggage fees, seat upgrades, and in-flight services. By adopting airline retailing strategies, airlines can enhance their revenue streams and provide passengers with a more

China Southern Airline: Passenger Traffic: Year to Date: Domestic data was reported at 36,561.540 Person th in Mar 2025. This records an increase from the previous number of 25,037.830 Person th for Feb 2025. China Southern Airline: Passenger Traffic: Year to Date: Domestic data is updated monthly, averaging 45,676.100 Person th from Feb 2008 (Median) to Mar 2025, with 206 observations. The data reached an all-time high of 145,174.750 Person th in Dec 2024 and a record low of 4,777.070 Person th in Jan 2009. China Southern Airline: Passenger Traffic: Year to Date: Domestic data remains active status in CEIC and is reported by China Southern Airlines Company Limited. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TIC: Air: China Southern Airlines.

San Francisco International Airport Report on Monthly Passenger Traffic Statistics by Airline. Airport data is seasonal in nature, therefore any comparative analyses should be done on a period-over-period basis (i.e. January 2010 vs. January 2009) as opposed to period-to-period (i.e. January 2010 vs. February 2010). It is also important to note that fact and attribute field relationships are not always 1-to-1. For example, Passenger Counts belonging to United Airlines will appear in multiple attribute fields and are additive, which provides flexibility for the user to derive categorical Passenger Counts as desired.