With the integration of big data analytics, the entertainment industry has undergone a transformation, changing the way companies engage with audiences, create content, and grow revenue. Artificial intelligence - powered business intelligence platforms are transforming how entertainment companies extract, visualize, and act upon vast amounts of consumer data, ensuring strategic decision-making and operational efficiency. This review article explores the various impacts of big data analytics in key areas such as audience analytics, advertisement analytics, content performance analytics, social media analytics, and streaming analytics by comprehensively reviewing 50 research papers published between 2015 and 2024. Entertainment companies are improving advertising strategies, personalizing experiences, and improving delivery details by using advanced tools such as machine learning algorithms and real-time dashboards. This article talks about new techniques such as hybrid convolutional learning for advertising campaigns and AI measurement techniques for content success. It also discusses the privacy, algorithmic transparency, and scalability issues encountered in the use of these technologies. Through AI-driven data mining, entertainment businesses can uncover hidden patterns in consumer behavior, optimize content strategies, and create highly targeted marketing campaigns. The findings highlight the important role big data plays in creating an information-driven, consumer-centric entertainment ecosystem.