Customized products can be manufactured using additive manufacturing (AM) process, but the drawback in this process is that they cannot be used for mass production of customized products. Another drawback of AM is requirement of human supervision in event of error. On the other hand, Internet of Things facilitates to operate and control machines remotely. Integration of these two technologies enhances production experience. Both direct and indirect tooling method through AM is used for mass production of products. Integrating IoT and AM processes aid in better decision-making through analysis of real-time data, allocation of material resources to machines, scheduling machines and employ which would eventually result in reduction in operation cost and increase in production efficiency. The primary aim of this study is to analyse factors influencing the integration of IoT with AM process. Sixteen factors and seven criteria are considered for this analysis. Criteria considered for the evaluation of factors are in the context of management and process oriented. Multi-criteria decision-making method grey Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is employed to analyse factors and criteria and the factors are ranked based on its relative closeness index score. The result indicates effective utilization of internet-based technologies in AM is important for the development of smart and sustainable manufacturing.