Technology and social indicators as most important to tourism, give a two-headed feel to the index created to measure the industry's competitiveness. To prove their importance and multi-dimensional relationship, this study uses multivariate analysis techniques to investigate the relationship between them while focusing on three regions. The results indicate 78.1% of shared variance between the constructs alongside significant R² effect and canonical correlation score, proving their relationship and importance. Five clusters were identified with the lower two needing improvements in both factors to positively influence tourism competitiveness. The top-performers displayed desirable scores while the middle class needed technology improvements.