Comparing Predictive Analytics Adoption in Financial vs. Manufacturing Sectors

Abstract

This paper compares predictive analytics adoption in financial and manufacturing sectors using data from 150 firms in Europe and Asia. Financial firms utilize analytics for risk assessment, investment forecasting, and fraud detection, whereas manufacturing firms apply it to supply chain optimization, predictive maintenance, and demand forecasting. Findings indicate that sector-specific adoption depends on data availability, regulatory constraints, and organizational capability. The study offers recommendations for implementing predictive analytics effectively, aligning technological investments with strategic goals, and improving operational efficiency across sectors.