The rapid proliferation of embedded systems has led to a growing need for scalable and space-efficient frameworks for managing them. Cloud-based frameworks offer a promising solution to these challenges, enabling developers to leverage the power and flexibility of the cloud to manage and analyze embedded data. In this research article, we propose a novel cloud-based framework for embedded systems using ThingWorx as the proposed framework. ThingWorx is an IoT platform that provides a wide range of tools and capabilities for managing and analyzing data from connected devices. We begin by providing an overview of embedded systems and the need for a cloud-based framework. We then compare ThingWorx with existing cloud-based frameworks, highlighting its strengths and limitations. We provide a detailed description of the ThingWorx architecture, including the various components and how they interact. We also discuss the challenges faced during implementation and how they were addressed. To evaluate the performance of ThingWorx, we conducted several experiments, measuring its scalability, space-efficiency, and performance compared to existing frameworks. Our results show that ThingWorx outperforms existing frameworks in terms of scalability and space-efficiency, while maintaining high performance. We discuss the implications of our findings and the potential applications of ThingWorx in managing embedded systems in various industries. We also highlight the limitations of ThingWorx and areas for future research. In conclusion, we propose a novel cloud-based framework for managing embedded systems that offers improved scalability and space-efficiency using ThingWorx as the proposed framework. Our research shows that this framework can provide a powerful solution for managing and analyzing data from embedded systems, and has the potential to revolutionize the way we approach IoT and other embedded systems.