Data-Driven Decision Making and IIoT Sensor Integration

This document is a commissioned study by Forrester Consulting on behalf of ATS, focusing on the integration of Industrial Internet of Things (IIoT) and remote sensors in manufacturing. It outlines the current state of machine maintenance practices, highlighting that only a third of firms are adopting a data-driven approach. The study indicates a significant expected increase in the use of IIoT sensors over the next three years, driven by the need to extend the life of existing machinery without costly replacements. Key challenges identified include staffing shortages, difficulties in integrating new technologies with legacy systems, and the overwhelming volume of data generated by these sensors. The report also discusses the anticipated benefits of retrofitting equipment with IIoT sensors, such as improved operational efficiency and the potential for predictive maintenance. Additionally, it notes an increase in budgets for maintenance-related technologies, reflecting a commitment to becoming more data-driven in decision-making processes.