Understanding the role of Big Data Analytics (BDA) and Artificial Intelligence AI in achieving sustainable practices for Networked Enterprises (NEs) is important in nowadays business. This can significantly lead these enterprises to gain competitive advantages. In this regard, NEs have to put a huge effort to benefit from the potential of these technologies in business-driven sustainability. The literature confirms that BD-driven sustainability enables NEs to use data to form and make the best decisions that lead toward measurable and sustainable business practices. For instance, NEs can use BDA and AI to increase their profits while consuming less energy, lowering GHG emissions, reducing waste, using natural resources responsibly, and protecting people and the community. This research work explores the integration of Big Data Analytics BDA and AI in the context of sustainability for NEs. It emphasizes the pivotal role of these technologies in addressing the economic, social, and environmental dimensions of sustainability. It reviews existing literature, identifies research gaps, and highlights challenges in effectively utilizing BDA and AI for sustainable practices. Practical applications, such as supply chain management optimization and predictive maintenance, are discussed. Furthermore, this review concludes with a call for further research to address challenges related to enhancing NEs' sustainability practices and strengthening the collaboration among NEs' partners for sustainable consumption and production.