Learner analytics is revolutionizing global education by providing valuable insights into student behaviors, performance, and engagement through advanced technologies like artificial intelligence and machine learning. This chapter explores the impact of learner analytics on global learning programs, highlighting its potential to personalize educational experiences, enhance student outcomes, and address diverse learner needs. It examines key aspects such as data collection and management, adaptive learning, and the integration of predictive analytics. Challenges related to data privacy, cultural and contextual differences, and ethical considerations are discussed, alongside emerging trends such as multimodal data integration and the use of augmented and virtual reality. The chapter concludes by emphasizing the importance of ethical data practices and cross-institutional collaboration in optimizing learner analytics to create more inclusive and effective educational environments.