The systematic gathering, analysis, and interpretation of data pertaining to human resources in order to improve organizational performance and guide decision-making is known as human resource analytics, predictive analytics, or workforce analytics. It includes a variety of approaches and procedures that use data to offer insights into personnel management, workforce dynamics, and organizational efficacy. 1363 publications from the Scopus database covering the period from 2000 to 2025 were considered in this study for bibliometric analysis using VOSviewer. Researchers in the fields of predictive analytics, human resource analytics (HR analytics), workforce analytics, big data analytics, big data capability, and performance management will be able to see the research study's future research trends. Through the use of predictive analytics, big data analytics, and big data capability, human resource analytics and predictive analytics play a significant role in a number of industries, including the IT sector, banking sector, hospitalization industry, and organization. Through the use of its many tools, human resource analytics may improve organizational performance. A bibliometric analysis study uses quantitative techniques to look at developing research areas, author contributions, citation patterns, and publishing trends. The study's conclusions offer a recommended path for additional investigation into the application of predictive analytics, big data analytics, human resource analytics, and big data capability across a range of industries