Environmental challenges and their severe impact have forced economies worldwide to focus on development that is not only focused on growth but is also sustainable. The one goal that binds the world together in this aspect is the attainment of Sustainable Development Goals (SDGs). However, the global commitment towards SDG attainment faces various barriers that delay and/or hinder its adoption. There are various challenges like the cost-related issues, infrastructural hurdles, governance challenges and others. Though literature has provided support for these barriers but still their hierarchy that explains the driving-dependence among the factors is still underexplored. The chapter focuses on identifying the structural relationship across the various barriers that delay the adoption of SDGs. Based on the multi-criteria decision-making technique – Total Interpretive Structural Modelling (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis, the study captures the cause-and-effect dynamics amongst various barriers identified through literature. Subsequently, MICMAC analysis based on the driving and dependence power classifies the barriers into four categories, namely autonomous, dependent, linkage, and driving. This structural insight provides a strategic framework for policymakers, development agencies, and sustainability planners to prioritize efforts and design more effective SDG implementation strategies. The chapter contributes to both theory and practice by offering a systems-based understanding of SDG challenges and demonstrating the utility of interpretive structural modelling in sustainability research.