IoT (Internet of Things) technology significantly depends on cloud infrastructure for data storage, processing, and management. IoT devices generate massive volumes of data from sensors, wearables, and smart appliances. Due to limited onboard computing and storage capabilities, most devices offload this data to cloud platforms where it can be analyzed in real time or stored for future use. Cloud services provide scalability, centralized data access, and integration with advanced analytics tools, making them essential to most IoT applications.

Cloud-based IoT platforms enable remote device monitoring, firmware updates, data visualization, and secure communication. They also support integration with AI/ML models for predictive analytics and automation. However, in scenarios where low latency or offline operation is critical—such as in industrial automation or autonomous vehicles—edge computing is used alongside or instead of cloud solutions.

While IoT doesn't always require the cloud, especially with edge and fog computing advancements, the cloud remains the backbone of most modern IoT ecosystems due to its flexibility and vast resources.

To learn more about such real-world implementations and architectures, explore an Internet of Things Course