The maritime container market with its dynamic nature and the increase of its seaborne trade is reshaping its player's power and influence on each other. Shipping lines are increasing market concentration in terms of carriers’ capacities leaving container ports with fewer choices rather than increasing investments with no guaranties of the positive balance sheet. Container ports always aim to improve their efficiency as it is considered one of the important element that reflects ports attractiveness. This triggered the aims and objectives of this research in finding a better solution to improve ports efficiency through cooperation between regional ports and apply the coopetition concept for the objective of increasing ports efficiency. The research approach was to assess ports relative technical efficiency of the main container ports in the East-West trade route. Accordingly, 42 ports among the world’s top 50 container ports were selected. The relative technical efficiency was measured by the aid of the Data Envelop Analyses (DEA) models (CCR, BCC, Super efficiency, Slack variable analyses and sensitivity analyses) for the period from 2011 to 2016. Assessment was applied twice, the first time for individual ports while the second time between clustered ports. Ports clusterization was performed by a clusterization model and the use of K- mean technique. Moreover, three scenarios of ports clusterization were tested to select the optimum applicable one. The first was by relying only the results obtained from the DEA models in forming ports clusters, while the remaining two scenarios were performed with the aid of a clusterization model coupled with the DEA models. The results showed that only the use of DEA models with manipulating its results to reach the research objective was not providing reasonable consistent results. On the other hand, the use of both models the DEA and a clusterization model showed reasonable reliable results. This approach was implemented twice, the first time with the exclusion of the efficient ports from proposed clusters while the second time all the study ports were grouped to form 14 clusters. Finally, this research concludes that ports clusterization could positively affect ports relative technical efficiency as well as coopetition among ports could be a good approach for improving ports efficiency. Moreover, it paves the way for introducing the coopetition concept with a tangible measuring tool which is benchmarking ports relative efficiency.