Water scarcity, inefficient distribution, leakages, and contamination are major challenges confronting global water management systems. Rapid urbanization and climate change further intensify pressure on existing infrastructure. This research paper explores next-generation smart water management systems enabled by Internet of Things (IoT) technologies. The proposed framework integrates smart sensors, wireless communication networks, cloud computing, and data analytics to enhance monitoring, control, and optimization of water resources. Real-time data acquisition from distributed sensors allows detection of leaks, pressure variations, quality degradation, and abnormal consumption patterns. Machine learning algorithms facilitate predictive maintenance and demand forecasting, improving operational efficiency and reducing nonrevenue water losses. The study analyzes system architecture, communication protocols, security mechanisms, and implementation challenges. It highlights the importance of scalable platforms, energy-efficient sensor networks, and secure data transmission. Case-based evaluation demonstrates improved water conservation, cost reduction, and enhanced sustainability. The research concludes that IoT-enabled smart water management systems represent a transformative solution for sustainable water governance in smart cities and rural environments.