This research paper investigates the potential of AI-driven Intelligent Tutoring Systems (ITS) for enhancing personalized learning. To conduct this research, 50 respondents, including educators, students, and ITS developers, were surveyed to provide insights into user experience, challenges linked with ITS adoption, and perceived benefits. For that, statistical, correlation, and cluster analysis was done. The findings show that ITS effectively delivers personalized learning, with new features like adaptive learning paths, real-time feedback, and interactive content being highly valued. Secondly, the study identifies some vital barriers, including privacy concerns, technical difficulties, and high implementation costs. The respondents focused on data privacy because they considered it extremely important to consider while using ITS. Furthermore, ITS is improving student engagement and concerns regarding adaptability to diverse educational needs. Lastly, there is some discussion about future technologies in ITS to enhance data security, minimize cost, and increase accessibility. The research shows that ITS is a crucial transformative tool in education. It can address individual learning needs and pose challenges that require collective actions from educators, developers, and policymakers.