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Airlines are investing in digital and mobile platforms to schedule flights, allowing passengers to receive personalized notifications, real-time information, and mobile check-ins. These technologies provide more scheduling flexibility, improve client interaction, and streamline operations. Furthermore, to improve usability and user experience (UX), flight scheduling software suppliers are making improvements to their user interfaces. Employees at airlines can handle schedules more effectively and make wise decisions, due to intuitive dashboards, customizable tools, and visualizations.
Flight scheduling software providers are increasingly incorporating AI and machine learning. With the use of these technologies, demand forecasting can be improved, routes and schedules may be optimized, and real-time adjustments can be made to increase operational effectiveness and punctuality. Solutions for cloud-based flight scheduling are becoming increasingly popular. Since cloud computing is scalable, flexible, and affordable, it lowers infrastructure costs and fosters better stakeholder collaboration while enabling airlines to access software and data from any location.
North America industry captured 40% share in 2023, driven by advanced aviation infrastructure, investments in technological innovation and the presence of major airline hubs.
Prominent players operating in the industry are AIMS International, Airline Software Applications, Amadeus IT Group, FLYHT Aerospace Solutions Ltd., GE Aviation, IBS Software, Jeppesen, Lufthansa Systems, Sabre Corporation, and SITA, among others.
Flight scheduling software industry from the airlines segment accumulated 56% share in 2023, owing to the rise in air travel demand, fleet expansion, and the introduction of new routes.
Industry size for flight scheduling software was USD 667 million in 2023 and will expand at 10% CAGR between 2024 and 2032, propelled by the growing demand for efficient airline operations, regulatory requirements for accurate flight data and the need to reduce operational costs.