The annual Application Trends Survey from the Graduate Management Admission Council (GMAC) provides the world's graduate business schools with data and insights to understand current trends in applications sent to graduate management education (GME) programs. This year's report begins with information from new survey questions about artificial intelligence (AI) in the classroom and application processes as well as business schools' non-degree offerings. It then explores volume trends by program type, selectivity, and program delivery methods and digs deeper into who comprises the applicant pool, with a focus on how candidate mobility impacts application growth. Next, it presents the latest trends in applications from women, first-generation, and U.S. underrepresented applicants. It then examines how GME programs' financial assistance to incoming students has evolved over the past decade. At the end of the report, regional profiles identify application trends and class characteristics within markets, including a comparison by degree type when the sample size was sufficient. Summary statistics for regions or countries that reported sample sizes that were insufficient to draw conclusions about the broader population are available in the appendices. The 2024 survey collected data on applications received by GME programs for the 2024-2025 academic year. Between June and August, 1,090 programs at 297 business schools worldwide provided responses. Participating programs are located in 40 countries, including 37 U.S. states and the District of Columbia, and reflect the growing diversity of global GME offerings. The total sample includes 490 MBA programs, 470 business master's programs, nine postgraduate programs (PGP), and 35 doctoral programs. More details about this year's participating programs can be found in the respondent profile section of this report. The 2024 report details this year's survey findings and uses data from past surveys to display trends over time. Select portions of the report also incorporate findings from other GMAC data sources to provide additional context and insight. In these instances, the data are sourced in footnotes.