Abstract
The rapid growth of data in the digital era has created challenges for traditional methods of analysis and visualization, which often struggle to handle large, complex, and unstructured datasets. Artificial Intelligence (AI) has emerged as a transformative solution, enabling automated data processing, pattern recognition, predictive analytics, and intelligent visual representation. By integrating AI with data visualization tools, researchers and organizations can derive meaningful insights, communicate results effectively, and support informed decision-making. This study explores the role, applications, and challenges of AI in data analysis and visualization. The purpose of this study is to examine the role of Artificial Intelligence in data analysis and visualization. The study aims to highlight how AI enhances data processing, pattern recognition, predictive analytics, and intelligent visual representation to improve research quality, decision-making, and communication of insights. This study adopts a conceptual research approach, based on an extensive review of secondary sources. The study emphasizes understanding current trends, technological advancements, and practical implications of AI-driven analytics and visualization across various domains, providing a comprehensive overview for researchers and practitioners. The study finds that Artificial Intelligence significantly enhances data analysis and visualization by automating data processing, improving accuracy, enabling predictive analytics, and generating intelligent visual representations. AI-driven tools support research, business, healthcare, education, and public policy by providing timely insights and facilitating informed decision-making. Finally the Global Analytics Market Size grew and the percentage of companies using AI in data analysis increased rapidly.