The rapid urbanization witnessed in recent decades has led to a surge in population density within urban areas, necessitating advanced automation and management systems to operate and manage cities sustainably. This study examines the crucial role of Internet of Things (IoT) devices and analytics in establishing automated solutions across diverse urban sectors. IoT technologies offer a versatile framework capable of automating and managing crucial aspects of urban life such as electricity consumption, pollution control, vehicle parking, health monitoring, and traffic control. This research investigates the use of IoT in critical areas such as smart water management, smart waste management, smart traffic management, and smart buildings. Through a comprehensive examination of these domains, it elucidates how IoT-enabled solutions facilitate efficient resource utilization, enhance environmental sustainability, and get better on the whole quality of life in urban environments. Furthermore, the combination of analytics with IoT data facilitates predictive modeling, real-time monitoring, and data-driven decision-making, thereby optimizing city operations and fostering a more sustainable future. By analyzing case studies and existing implementations, this work highlights the tangible benefits and challenges associated with deploying IOT and analytics-driven solutions in urban settings. Additionally, it offers insights into emerging trends, potential barriers, and opportunities for further advancements in leveraging IoT and analytics for sustainable urban development. Ultimately, this work aims to present a broad understanding of the transformative potential of IoT and analytics in shaping the cities of tomorrow towards greater resilience, efficiency, and sustainability.