Abstract

The rapid digitalization of procurement and supply chain management has transformed how organizations coordinate, evaluate, and innovate within global manufacturing systems. The integration of analytics into procurement processes enables firms to enhance efficiency, transparency, and resilience, while simultaneously supporting the transition toward advanced manufacturing innovation. Recent global shifts including the proliferation of big data, artificial intelligence, blockchain, and Industry 4.0 technologies redefined how procurement is conducted, turning it into a strategic driver of value creation. This paper provides an in-depth literature-based review of global trends in procurement and supply chain analytics with a focus on their implications for manufacturing innovation. By synthesizing secondary research up to 2025, it explores the historical evolution, methodological developments, and emerging debates that define this rapidly changing field. The analysis underscores the growing significance of predictive and prescriptive analytics, the integration of sustainability considerations, the use of advanced digital platforms, and the move toward collaborative, data-sharing ecosystems. Particular attention is given to the implications for manufacturing innovation, including enhanced product design, agile production, risk resilience, and sustainable operations. The findings highlight the opportunities and challenges facing organizations as they adapt to a data-intensive procurement and supply chain landscape. This paper contributes to scholarly discourse and managerial practice by consolidating current knowledge, identifying critical gaps, and outlining directions for future research.