Due to its attractive possibilities and potential benefits, the use of big data analytics is gaining popularity in both real operations and theoretical discourse. The goal of this research is to identify the factors that influence the adoption of big data analytics and their impact on the performance of supply chains in the manufacturing industry, examining how information sharing between firms affects this relationship with the help of a survey to collect and analyze data, with a sample size of 200 respondents. The study discovered that technological, organizational, environmental, and perceived risk factors all had a significant impact on big data analytics adoption. The study's findings also show a substantial and favorable relationship between big data analytics adoption and supply chain performance. Finally, it was observed that the act of sharing information had a moderating effect on the link between big data analytics adoption and firm performance.