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.

The number of flights performed globally by the airline industry has increased steadily since the early 2000s and reached **** million in 2019. However, due to the coronavirus pandemic, the number of flights dropped to **** million in 2020. The flight volume increased again in the following years and was forecasted to reach ** million in 2025.

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.

A. SUMMARY This dataset consists of San Francisco International Airport (SFO) air traffic cargo dataset contains data about cargo volume into and out of SFO, in both metric tons and pounds, with monthly totals by airline, region and aircraft type. B. HOW THE DATASET IS CREATED Data is self-reported by airlines and is only available at a monthly level. C. UPDATE PROCESS Data is available starting in July 1999 and will be updated monthly. 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, Cargo Statistics belonging to United Airlines will appear in multiple attribute fields and are additive, which provides flexibility for the user to derive categorical Cargo Statistics as desired. E. RELATED DATASETS A summary of monthly comparative air-traffic statistics is also available on SFO’s internet site at https://www.flysfo.com/about/media/facts-statistics/air-traffic-statistics

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

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.

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.

According to Cognitive Market Research, the global Air Traffic Management Market size was USD 7.5 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 6.2 % from 2024 to 2031. Market Dynamics of Air Traffic Management Market

Key Drivers for Air Traffic Management Market

Soaring Air Passenger Traffic - Air passenger traffic is the total number of individuals who fly onboard commercial aircraft in a given period and is an important indicator for monitoring air travel demand and overall activity in the aviation industry. Air traffic control is vital to guaranteeing the safety, efficiency, and dependability of air passenger traffic and facilitating travel from departure to arrival, both inside and beyond borders. For instance, the International Air Transport Association (IATA), a Canada-based international airline trade association, reported in February 2023 that total traffic (measured in revenue passenger kilometres, or RPKs) climbed 64.4% in 2022 compared to 2021. Global traffic in 2022 was 68.5% of pre-pandemic (2019) levels. Total traffic in December 2022 climbed by 39.7% over December 2021, reaching 76.9% of the amount in December three years earlier. Regulatory initiatives

Key Restraints for Air Traffic Management Market

High initial investment Cybersecurity Risks Introduction of the Air Traffic Management Market

Air traffic management is the control of traffic in and around airports, airport terminals, and surrounding airspace. It offers integrated dynamic management of air traffic by utilizing air traffic services, airspace management, and air traffic flow management. These systems provide safe and effective air traffic control, including both airborne and ground-based activities. Furthermore, air traffic services are used to efficiently regulate the flow of aircraft in real-time, ensuring their safe operation. Air traffic services include air traffic control, alerting, and flight information. Ground-based controllers provide air traffic control services that direct aircraft on the ground and contribute to the prevention of aircraft collisions. Additionally, the global air traffic management market is growing due to increased air traffic worldwide, modernization of air traffic management infrastructure, and a rising requirement for improved air safety. However, potential cyber threats and the high cost of traffic management infrastructure are concerns impeding market expansion. Furthermore, technological developments and increased demand for air traffic solutions from emerging countries are likely to drive growth during the forecast period.

Between 2025 and 2045, passenger air traffic between the U.S. and the Pacific region is estimated to grow at an average annual rate of around 3.3 percent. This represens the strongest growth among the major international regions. The slowest growth during the same time period was projected for air traffic between the U.S. and Canada, with a projected annual increase of 2.4 percent.

A. SUMMARY This dataset consists of San Francisco International Airport (SFO) The aircraft landing dataset contains data about aircraft landings at SFO with monthly landing counts and landed weight by airline, region and aircraft model and type. B. HOW THE DATASET IS CREATED Data is self-reported by airlines and is only available at a monthly level. C. UPDATE PROCESS Data is available starting in July 1999 and will be updated monthly. 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, Cargo Statistics belonging to United Airlines will appear in multiple attribute fields and are additive, which provides flexibility for the user to derive categorical Cargo Statistics as desired. E. RELATED DATASETS A summary of monthly comparative air-traffic statistics is also available on SFO’s internet site at https://www.flysfo.com/about/media/facts-statistics/air-traffic-statistics

Passengers enplaned and deplaned at Canadian airports, annual.

The global air traffic control (ATC) market was valued at USD 10.24 Billion in 2024. The rise of low-cost carriers is increasing air traffic density, pushing airports to adopt real-time ATC upgrades that enhance routing efficiency, reduce delays, and support quick turnaround operations. As a result, the market is expected to grow at a CAGR of 5.60% during the forecast period of 2025-2034 to reach a value of USD 17.66 Billion by 2034.

One of the most pivotal trends steering the global market is the integration of AI into traffic control operations. AI-driven systems are reshaping how air traffic is monitored, predicted, and rerouted in real-time. For instance, in January 2024, the United Kingdom’s NATS introduced an AI-based digital control system that analyses vast volumes of radar and weather data, significantly reducing delays and human error. According to EUROCONTROL, AI applications are expected to reduce runway occupancy times significantly across Europe by 2030, easing congestion at major hubs. The trend is also catching pace in the United States, where the FAA's NextGen programme integrates data fusion and machine learning, further reshaping the air traffic control (ATC) market dynamics.

Another major growth lever is the rise in government investments supporting ATC infrastructure upgrades. India’s Ministry of Civil Aviation allocated INR 170 crore in December 2023 for modernising its ATC towers and integrating ADS-B surveillance. Similarly, the European Commission committed over EUR 350 million in February 2023 for enhancing cross-border air traffic coordination under the Single European Sky initiative. These funding boosts reflect a global consensus on decongesting airspaces, improving flight predictability and minimising carbon emissions.

As more developing economies adopt advanced surveillance and communication technology to keep pace with traffic surges, the air traffic control (ATC) market is witnessing a paradigm shift. The intersection of AI, digitisation, and international collaboration is creating lucrative avenues for vendors to offer scalable and intelligent ATC solutions worldwide.

The Air transport domain contains national and international intra and extra-EU data. This provides air transport data for passengers (in number of passengers) and for freight and mail (in 1 000 tonnes) as well as air traffic data by airports, airlines and aircraft. Data are transmitted to Eurostat by EU Member States, EFTA countries and some other reporting countries. Data are compiled following the provisions of the Regulation (EC) N°1358/2003, implementing Regulation N°437/2003 of the European Parliament and of the Council on statistical returns in respect of the carriage of passengers, freight and mail by air. The air transport data are collected at airport level. As from 2003 reference year the data are provided according to the legal act (some countries were given derogation until 2005). Until 2002 partial information (passenger transport only) are available for some countries and airports.

Airports handling less than 15 000 passenger units annually are excluded from the scope of the Regulation. Datasets A1 and B1 are provided on monthly basis, while dataset C1 can be provided either on monthly or annual basis. For some countries optional variable - total number of transfer passengers - is provided as well.

The data are disseminated by Eurostat in on-line database in four sub-domains:

• Air Transport measurement - Passengers
• Air Transport measurement - Freight and mail
• Air Transport measurement - Traffic data by airports, aircraft and airlines
• Air Transport measurement - Data aggregated at standard regional levels (NUTS).

The two first domains contain several data collections:

• Overview of the air transport by country and airport,
• National air transport by country and airport,
• International intra-EU air transport by country and airport,
• International extra-EU air transport by country and airport,
• Detailed air transport by reporting country and routes.

In the tables of the sub-domain "Transport measurement - Passengers", data are broken down by passengers on board (arrivals, departures and total), passengers carried (arrivals, departures and total) and passenger commercial air flights (arrival, departures and total). Additionally, the tables of collection "Detailed air transport by reporting country and routes" provide data on seats available (arrival, departures and total). The data is presented at monthly, quarterly and annual level.

In the tables of the sub-domain "Transport measurement - Freight and mail", data are broken down by freight and mail on board (arrival, departures and total), freight and mail loaded/unloaded (loaded, unloaded and total) and all-freight and mail commercial air flights (arrival, departures and total). The data is presented at monthly, quarterly and annual level.

In the tables of the sub-domain "Transport measurement - Traffic by airports, aircraft and airlines":

• Data by type of aircraft are broken down by total passengers on board, total freight and mail on board in tonnes, total passengers seats available, total commercial air flights (passengers + all-freight and mail), passenger commercial air flights, all-freight and mail commercial air flights. The data is presented at annual level since 2003.
• Data by type of airline are broken down by total passengers on board, total passengers carried, total freight and mail on board, total freight and mail loaded/unloaded, total passengers seats available, total commercial air flights (passengers + all-freight and mail), passenger commercial air flights, all-freight and mail commercial air flights. The data is presented at annual level since 2003.
• Data by airport are broken down by total passengers carried, total transit passengers, total transfer passengers, total freight and mail loaded/unloaded, total commercial aircraft movements, total aircrafts movements. The data is presented at monthly, quarterly and annual level.

The sub-domain "Transport measurement - Data aggregated at standard regional levels (NUTS)", contains two tables:

• Air transport of passengers at regional level
• Air transport of freight at regional level

The tables present the evolution of the number of passengers carried (if not available passengers on board) and the volume of freight and mail loaded or unloaded (if not available freight and mail on board) to/from the NUTS regions (level 2, 1 and 0) since 1999. The data is presented at annual level. The air transport regional data have been calculated using data collected at the airport level in the frame of the regulatory data collection on air transport.

For more details on datasets, data validation and dissemination refer also to Reference Manual on Air Transport Statistics available in the Annex part of the metadata.

In financial year 2024, the total air passenger traffic in India reached more than *** million passengers. It was a huge increase compared to the previous year. The domestic passenger traffic saw a compound annual growth rate (CAGR) of *** percent from 2014 to 2024, while the international passenger traffic saw a *** percent CAGR during the same period of time.

General Aviation (GA) comprises all civil flights except scheduled passenger airline services. More than 90% of the roughly 220,000 civil aircraft registered in the United States (US) are GA aircraft. In contrast with airline service aircraft which operate with two pilots in a structured higher-altitude operational envelope, GA aircraft are often individually piloted in a more unstructured lower-altitude environment. This low altitude environment is also where a bulk of the next generation of Uncrewed Aerial Vehicles (UAVs) are expected to operate. These UAVs are expected to seamlessly interact with other UAVs and manned air traffic operating in this shared airspace. Nowhere is this manned-manned and potentially unmanned-manned interaction more pronounced than in low-altitude terminal airspace around airports. Low altitudes, multi-agent close-proximity interactions, dynamically changing conditions, and rapid decision making are hallmarks of this type of airspace as compared to en-route airspace where agents are typically well-separated.This dataset contains aircraft trajectories in an untowered terminal airspace collected over 8 months surrounding the Pittsburgh-Butler Regional Airport [ICAO:KBTP], a single runway GA airport, 10 miles North of the city of Pittsburgh, Pennsylvania. The trajectory data is recorded using an on-site setup that includes an ADS-B receiver. The trajectory data provided spans days from 18 Sept 2020 till 23 Apr 2021 and includes a total of 111 days of data discounting downtime, repairs, and bad weather days with no traffic. Data is collected starting at 1:00 AM local time to 11:00 PM local time. The dataset uses an Automatic Dependent Surveillance-Broadcast (ADS-B) receiver placed within the airport premises to capture the trajectory data. The receiver uses both the 1090 MHz and 978 MHz frequencies to listen to these broadcasts. The ADS-B uses satellite navigation to produce accurate location and timestamp for the targets which is recorded on-site using our custom setup. Weather data during the data collection time period is also included for environmental context. The weather data is obtained post-hoc using the METeorological Aerodrome Reports (METAR) strings generated by the Automated Weather Observing System (AWOS) system at KBTP. The raw METAR string is then appended to the raw trajectory data by matching the closest UTC timestamps.We also provide processed data that filters, interpolates and transforms data from a global frame to an airport-centred inertial frame. The inertial frame is centred at one end of the runway with the x-axis along the runway. Trajectories are filtered with aircrafts under 6000 ft MSL and around a 5km radius around the airport origin. We also remove duplicates and interpolate data every second. The proceed files also contain wind-data; a crucial factor in decision-making; separated in components along and perpendicular to the runway direction.More Information and Supplemental ToolsPlease visit http://theairlab.org/trajair/ for more information.

Graph and download economic data for Employed full time: Wage and salary workers: Air traffic controllers and airfield operations specialists occupations: 16 years and over: Men (LEU0254628200A) from 2000 to 2024 about operating, air travel, travel, occupation, full-time, males, salaries, workers, 16 years +, wages, employment, and USA.

Air Traffic Management Market Outlook

As per our latest research, the global air traffic management market size in 2024 stands at USD 12.8 billion, propelled by robust investments in aviation infrastructure and digital transformation across the airspace ecosystem. The market is advancing at a CAGR of 5.7% from 2025 to 2033, and is forecasted to reach USD 21.3 billion by 2033. This growth is primarily driven by increasing air passenger traffic, modernization of aging air traffic control systems, and heightened focus on safety and efficiency in airspace operations, as identified in our comprehensive industry analysis.

A significant growth factor for the air traffic management market is the surging volume of global air travel, which continues to set new records year after year. With the expansion of commercial aviation networks and the proliferation of low-cost carriers, the number of flights operating daily has reached unprecedented levels. This surge necessitates advanced air traffic management solutions to ensure optimal flight scheduling, real-time route optimization, and enhanced safety protocols. Governments and aviation authorities are responding by investing in next-generation air traffic control (ATC) systems that leverage technologies such as artificial intelligence, machine learning, and big data analytics. These advancements not only improve the efficiency of airspace management but also reduce delays, minimize fuel consumption, and lower operational costs for airlines, making them indispensable to the future of aviation.

Another pivotal factor fueling market growth is the ongoing modernization and digital transformation of air traffic control infrastructure worldwide. Legacy systems, many of which were designed decades ago, are being replaced or upgraded to accommodate the complexities of today's airspace, which includes not only commercial and military flights but also the growing presence of unmanned aerial vehicles (UAVs) and drones. The integration of digital communication, navigation, and surveillance technologies is enabling seamless information sharing between pilots, air traffic controllers, and ground support teams. This digital shift is crucial for implementing advanced concepts such as trajectory-based operations and collaborative decision-making, both of which are central to the Single European Sky ATM Research (SESAR) and NextGen initiatives in Europe and the United States, respectively.

Environmental sustainability is also emerging as a critical driver in the air traffic management market. With the aviation industry under increasing pressure to reduce its carbon footprint, efficient airspace management is seen as a key lever for achieving sustainability goals. Modern ATM solutions facilitate shorter flight paths, continuous descent approaches, and real-time weather rerouting, all of which contribute to lower fuel burn and reduced greenhouse gas emissions. Additionally, the integration of renewable energy sources and green technologies in ATC infrastructure is gaining traction, further aligning the industry with global climate targets. These environmental considerations are compelling stakeholders to adopt state-of-the-art air traffic management systems that not only enhance safety and efficiency but also support broader sustainability objectives.

From a regional perspective, North America and Europe continue to hold dominant positions in the air traffic management market due to their mature aviation sectors and substantial investments in technology upgrades. However, the Asia Pacific region is rapidly emerging as a key growth engine, driven by a boom in air travel demand, large-scale airport construction projects, and proactive government initiatives to modernize airspace management. Countries like China and India are making significant strides in deploying advanced ATM systems to handle increasing air traffic volumes safely and efficiently. Meanwhile, the Middle East and Africa are also witnessing rising investments in ATM infrastructure, particularly in major aviation hubs such as the United Arab Emirates and South Africa. This dynamic regional landscape underscores the global nature of air traffic management and the diverse opportunities it presents for stakeholders across the value chain.

Operational Data Store for Real-Time Flights Market Outlook

According to our latest research, the Global Operational Data Store for Real-Time Flights market size was valued at $1.75 billion in 2024 and is projected to reach $4.82 billion by 2033, expanding at a CAGR of 11.7% during 2024–2033. The primary driver of this robust growth is the increasing demand for real-time data integration and analytics solutions across the aviation industry, which has become essential for enhancing operational efficiency, reducing delays, and improving passenger experience. As airlines, airports, and air traffic control agencies strive to modernize their digital infrastructure, the adoption of operational data stores (ODS) capable of aggregating and processing real-time flight information is accelerating rapidly on a global scale.

Regional Outlook

North America currently holds the largest share of the global Operational Data Store for Real-Time Flights market, accounting for approximately 39.2% of the total market value in 2024. This dominance is attributed to the region’s mature aviation infrastructure, early adoption of advanced data management technologies, and the presence of major market players. The United States, in particular, has been at the forefront of implementing real-time data integration platforms within both commercial and private aviation sectors. The Federal Aviation Administration’s (FAA) regulatory framework and robust investments in digital transformation initiatives have further propelled the uptake of ODS solutions. Additionally, the region’s focus on enhancing passenger experience through seamless information sharing and operational transparency continues to drive sustained demand for innovative data solutions.

Asia Pacific is emerging as the fastest-growing region in the Operational Data Store for Real-Time Flights market, with a forecasted CAGR of 14.5% from 2024 to 2033. This rapid growth is underpinned by significant investments in airport modernization, surging air passenger traffic, and an increasing number of airline startups across countries like China, India, and Southeast Asian nations. Governments in the region are prioritizing smart airport projects and digital transformation in air traffic management, which is leading to a surge in demand for real-time data stores. Furthermore, the expansion of low-cost carriers and the adoption of cloud-based deployment models are lowering entry barriers for smaller airlines, thereby accelerating market penetration and innovation in operational data management.

Emerging economies in Latin America, the Middle East, and Africa are gradually integrating operational data store solutions but face unique challenges. Limited IT infrastructure, budget constraints, and varying regulatory standards present obstacles to widespread adoption. However, localized demand is growing, particularly as airlines and airports in these regions recognize the value of real-time data in minimizing disruptions and optimizing resource allocation. Strategic partnerships with global technology providers and support from international aviation organizations are helping to address skill gaps and promote best practices. As these markets mature, tailored solutions that account for regional nuances and policy frameworks are expected to drive incremental growth and foster greater digitalization within the aviation ecosystem.

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