Water is one of the scarcest resources globally, and its importance is anticipated to increase in the future. This article investigates the impacts of water network sectorization, a crucial technique for efficient management of urban water systems. It explores how dividing networks into manageable sections, or measurement and control areas, can significantly enhance monitoring and reduce non-revenue water. Leveraging data from predictive analytics, the study delves into how modern sensor technologies can detect patterns for preventive maintenance, thus minimising the time to act on anomalies or water cuts. It presents a detailed analysis of sector characteristics and alarm distribution, highlighting the correlation between network size and warning frequency. The findings suggest that sectorization, coupled with advanced sensing and machine learning algorithms, can improve the resilience and efficiency of water distribution networks, aligning with the objectives of Industry 5.0.