One of the most groundbreaking innovations in the current digital era is Augmented Reality (AR). It is changing how people interact with the world. In real time, AR superimposes computer-generated content, including text, photos, sounds, and 3D models, onto a user’s view of the outside world. This technology emerged as a valuable and workable tool only in the early part of the last decade (around 2010), with the development of mobile computing, sensors, and real-time rendering. It has been applied in gaming, education, healthcare, manufacturing, and retail due to the widespread use of smartphones, tablets, and wearable technologies. Similarly, its application in supply chain management (SCM) is slowly increasing, as it improves visualisation, real-time data fusion, and human-machine interaction. Recent literature has documented its use in the supply chain for warehouse management, inventory control, logistics and transportation, manufacturing and production processes, and equipment maintenance. However, the growth of AR applications in SCM is subdued due to various hindrances or barriers. In this paper, an attempt has been made to uncover the barriers to AR adoption through a literature synthesis. It was found that these barriers for AR can be categorised into multiple groups - such as technology barriers, organisational barriers, people-related barriers, etc. Uncovering and classifying these barriers can help managers overcome them by developing appropriate counter-measures. The academicians can use it to study the antecedents of these barriers, their relationship, impact, etc., using various theories, such as the Technology Acceptance Model (TAM), theories related to change management, etc. They can also validate these barriers in different industrial contexts using the case study approach and create a framework by conducting survey-based research and analysing them using sophisticated statistical analysis such as factor analysis, cluster analysis and structural equation models.