A Comprehensive Survey on AI-Driven IoT Applications: Innovations, Challenges, and Future Directions

The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) is driving innovation in various sectors, such as healthcare, smart cities, agriculture, and manufacturing. This paper provides a comprehensive survey of the applications, challenges, and future trends, associated with AI- IoT integration. We explore how AI improves the functionality and efficiency of IoT devices in different fields, allowing real-time data processing, predictive analytics, and automated decision-making. Moreover, we address key challenges, such as data privacy, Interoperability, scalability, and real-time processing, which limit the widespread adoption of AI- IoT systems. Additionally, we highlight emerging research topics and future trends, such as AI-driven security automation, blockchain for secure IoT, and quantum-resistant security protocols, which aim to overcome these challenges and shape the future of AI- IoT ecosystems. This survey provides an overview of the current state of AI- IoT integration and offers a roadmap for future research and development.