With the rapid development of digital and intelligent technologies, the publishing industry is facing unprecedented transformation opportunities. Based on the perspective of data analytics, this study explores the challenges and opportunities faced by the publishing industry in the process of digital and intelligent transformation, and analyzes how data-driven innovative technologies can promote the digital and intelligent upgrading of the publishing business. The basic status quo of the current publishing industry is reviewed, followed by a discussion of the application of big data, artificial intelligence and other technologies in the publishing industry, focusing on key technologies and strategies such as intelligent process optimization, data security and privacy protection. Through case studies, this paper demonstrates the practical results of digital and intellectual transformation and looks forward to the future development of the publishing industry. This study provides theoretical basis and practical guidance for the transformation of publishing industry from traditional mode to digital intelligence, which has important practical significance and application value.