Sustainable water management (SWM) is a serious issue that is becoming increasingly important because of the complicated interactions among various factors. This includes climate change, population growth, urbanization, industrial expansion, and agricultural intensification. This chapter describes the incorporation of digital technologies, such as the Internet of Things (IoT), artificial intelligence (AI), big data analytics, and geographic information systems (GIS), for SWM. These enhanced features for real-time monitoring, predictive analytics, and automated responses have led to the development of novel approaches for SWM. The IoT-enabled sensors and smart meters collect and record up-to-the-minute data on water levels, quality, and usage in various domestic, industrial, and agricultural uses. These continuously gather information concerning the monitoring of water distribution networks and the optimization of water usage. The application of AI in SWM provides sophisticated predictive analytics capabilities for forecasting water demand, rainfall patterns, groundwater levels, and drought occurrence. Machine learning (ML) algorithms have the ability to accurately predict these factors using large datasets, providing SWM with actionable insights to address these issues. Big data analytics enhances SWM by providing insights into water availability, quality, and distribution through the combination of data from various sources. This comprehensive methodology also identifies trends, patterns, and correlations and develops new SWM methodologies. GIS and remote sensing (RS) techniques process spatial and temporal data and develop precise mapping and monitoring techniques to assess water bodies, land utilization, and changes in the environment. GIS models integrate data on groundwater potential (GWP), water quality, and rainfall distribution to enhance the process of planning and decision-making. This study describes digital techniques for SWM, which include digital tools for efficient, equitable, and environmentally friendly digital water resource management (DWRM) in the digital age. These technological advancements will contribute to the preservation of water security for future generations.