Presently, digitalization is causing continuous transformation of industrial processes. However,it does pose challenges like spatially contextualizing data from industrial processes. Thereare various methods for calculating and delivering real-time location data. Indoor positioningsystems (IPS) are one such method, used to locate objects and people within buildings. Theyhave the potential to improve digital industrial processes, but they are currently underutilized.In addition, augmented reality (AR) is a critical technology in today’s digital industrialtransformation. This article aims to investigate the use of IPS and AR in manufacturing,the methodologies and technologies employed, the issues and limitations encountered, andidentify future research opportunities. This study concludes that, while there have been manystudies on IPS and navigation AR, there has been a dearth of research efforts in combiningthe two. Furthermore, because controlled environments may not expose users to the practicalissues they may face, more research in a real-world manufacturing environment is required toproduce more reliable and sustainable results.