Industry 6.0 marks a new era in the industrial revolution by combining cyber-physical systems, artificial intelligence, and human-machine collaboration. The evolution of production optimizers through Industry 6.0 depends heavily on Big Data because it helps companies execute real-time decisions and predictive analytics and perform intelligent automation. This research evaluates how Big Data functions in Industry 6.0 by answering vital queries about optimizing industrial processes, overcoming implementation challenges, combining with new technologies, sustainability benefits and methodical Big Data implementation. Integrating Big Data with AI, quantum computing, blockchain, and digital twins enhances process efficiency, resource management, and production scalability. The study investigates data security risks and infrastructure needs and interoperability barriers to identify beneficial approaches to obtain a competitive market edge. The findings show how Big Data analytical tools enhance sustainable industrial processes, reduce waste, and maximize energy efficiency. This study presents practical methods for using Big Data that guide businesses to handle Industry 6.0 complexity and optimize their operations.