Sarcouncil Journal of Engineering and Computer Sciences

Abstract: This study explores the application of big data analytics in product market research to enhance global marketing operations. Utilizing advanced statistical techniques such as descriptive analysis, regression modeling, sentiment analysis, cluster analysis, and time series forecasting, the research provides valuable insights into consumer behavior and market trends. The results indicate that targeted marketing strategies, informed by data analytics, significantly improve sales outcomes and customer engagement. Regression analysis highlights the strong impact of marketing investments on revenue growth, while sentiment analysis underscores the importance of social media platforms in shaping brand perception. Cluster analysis further identifies distinct customer segments, enabling personalized marketing campaigns. Additionally, time series forecasting demonstrates consistent sales growth trends, supporting data-driven strategic planning. The study concludes that integrating big data analytics into marketing operations enhances decision-making, optimizes resource allocation, and drives sustainable business growth. It also highlights the importance of real-time analysis and continuous data integration for adapting to market dynamics. This research offers practical insights for marketers and contributes to the growing literature on data-driven marketing strategies