List of the Top 7 IoT Operating Systems for Windows in 2025

Created through a partnership with leading chip manufacturers over a period of 15 years, FreeRTOS is currently downloaded roughly every 170 seconds and is recognized as a premier real-time operating system (RTOS) designed specifically for microcontrollers and small microprocessors. It is freely accessible under the MIT open source license and features a core kernel along with a growing suite of IoT libraries that serve various sectors. Emphasizing reliability and ease of use, FreeRTOS has garnered a reputation for its robust performance, lightweight design, and broad compatibility with numerous devices, making it the preferred choice for microcontroller and small microprocessor solutions among major global companies. Users benefit from a variety of pre-configured demos and IoT reference integrations, which facilitate straightforward project setups, thus allowing for rapid downloading, compiling, and quicker market entry. This efficient approach not only streamlines development but also supports faster innovation cycles. Additionally, the ecosystem of partners provides a wide array of options, bridging community-driven initiatives with professional support, ensuring users have the vital resources necessary for their success. As the landscape of technology evolves, FreeRTOS is dedicated to continually adapting and enhancing its features to address the shifting needs of the industry, proving its resilience and relevance in a dynamic environment. Moreover, its ongoing commitment to innovation positions it as a key player in the future of real-time operating systems.

Arm Mbed OS is a freely available operating system specifically designed for Internet of Things (IoT) applications, equipping developers with the essential resources to create advanced IoT devices. This powerful operating system is optimized for smart and connected products that utilize Arm Cortex-M architecture, providing features like machine learning capabilities, secure connectivity options, an RTOS kernel, and drivers for a range of sensors and I/O devices. Tailored for the needs of the Internet of Things, Arm Mbed OS encompasses functionalities in connectivity, machine learning, networking, and security, along with an extensive library of software, development boards, tutorials, and real-world examples. It encourages collaboration within a broad ecosystem, supporting over 70 partners across various sectors, including silicon manufacturers, module developers, cloud service providers, and OEMs, thus broadening the options available for developers. By utilizing the Mbed OS API, developers can produce clean, portable, and easy-to-manage application code while also taking advantage of enhanced security, communication, and machine learning features. This integrated solution not only simplifies the development process but also significantly reduces costs, shortens development time, and mitigates risks. Moreover, Mbed OS facilitates innovation by allowing developers to quickly prototype and confidently deploy IoT solutions, ultimately driving technological advancement in the field. The comprehensive support provided by the Mbed community further enriches the development experience, making it an ideal choice for both novice and experienced developers alike.

RT-Thread, which stands for Real Time-Thread, is a multi-threaded operating system specifically built for embedded real-time applications. This operating system is designed to facilitate multi-tasking, enabling various tasks to operate concurrently. While a single processor core can only handle one task at a time, RT-Thread manages to execute all tasks swiftly and alternates between them based on their priority, which gives users the perception that tasks are running simultaneously. Primarily developed in the C programming language, RT-Thread is straightforward to comprehend and transfer to different environments. It employs object-oriented programming techniques in the design of real-time systems, leading to code that is not only elegant and structured but also modular and highly customizable. RT-Thread is available in various editions. The NANO version features a compact kernel that requires merely 3KB of flash memory and 1.2KB of RAM, making it suitable for devices with limited resources. Additionally, for more capable IoT devices, RT-Thread supports an online software package management tool in conjunction with system configuration utilities, facilitating a user-friendly and rapid modular design process. This versatility allows developers to easily adapt the system to meet their specific project needs.

Raspberry Pi Imager provides an efficient and user-friendly way to install Raspberry Pi OS and a selection of other operating systems onto a microSD card, preparing it for use with your Raspberry Pi device. To get a clear sense of the installation steps, take a look at our concise video tutorial that lasts just 45 seconds. Start by downloading and installing Raspberry Pi Imager on a computer that has an SD card reader. After that, insert the microSD card that you plan to use for your Raspberry Pi into the reader and open Raspberry Pi Imager. Users have the opportunity to choose from a wide range of operating systems offered by both Raspberry Pi and various external sources, making it easy to download and install them as necessary. This utility simplifies the entire setup process, thereby improving your overall experience with Raspberry Pi. By utilizing Raspberry Pi Imager, even beginners can seamlessly transition into the world of Raspberry Pi without any complications.

Engaging with the Windows platform allows you to join a vast global community of partners that includes diverse hardware and software solutions, integrations, and services. This involvement grants you access to a continuously improving suite of features and developer-friendly tools, facilitating a smooth process for building devices. Windows IoT provides a decade of guaranteed OS Lifecycle Support through its Long-Term Servicing Channel (LTSC), eliminating any unexpected costs. Moreover, it ensures backward compatibility as per Microsoft's application compatibility commitment. With Windows IoT, you can leverage Azure services to craft personalized IoT solutions tailored to your unique requirements. Azure offers an unparalleled range of cloud services and capabilities, designed to cater to the varying needs of multiple industries. Furthermore, Windows IoT integrates effortlessly with existing device management solutions, significantly enhancing your operational efficiency within the IoT sector. This synergy of features not only empowers developers to innovate but also streamlines project execution, ultimately driving technological advancement forward. Embracing these tools and resources positions you for success in an ever-evolving digital landscape.

At the heart of every embedded operating system is a kernel, which is essential for managing task scheduling and multitasking to meet the timing requirements of your application code, even as you continuously update and enhance this code with new features. In addition to its kernel, Micrium OS provides an array of additional modules that cater to the specific needs of your project. Notably, Micrium OS is fully free for use on Silicon Labs EFM32 and EFR32 devices, enabling you to seamlessly integrate Micrium’s high-quality components into your projects without any licensing fees. This open access fosters a culture of innovation and experimentation, allowing developers the freedom to concentrate on building reliable applications without the burden of financial limitations. Moreover, the comprehensive suite of tools offered by Micrium OS can significantly streamline the development process, empowering developers to bring their ideas to life more efficiently.

This system encompasses a wide array of devices, from fundamental embedded environmental sensors and LED wearables to sophisticated embedded controllers, smartwatches, and IoT wireless applications, featuring a configurable architecture that includes stack-overflow protection, permission tracking for kernel objects and device drivers, and enhanced thread isolation through thread-level memory protection across various architectures such as x86, ARC, and ARM, along with distinct userspace and memory domains. Additionally, for systems that do not have a Memory Management Unit (MMU) or Memory Protection Unit (MPU) and those constrained by limited memory, it facilitates the combination of application-specific code with a customized kernel to create a monolithic image that can be seamlessly loaded and executed on the hardware. Within this framework, both the application and kernel code function within a single address space, promoting efficient resource management and performance enhancements. Consequently, this architecture is adept at enabling even the most resource-limited environments to effectively utilize advanced applications and sophisticated functionalities, thereby broadening the scope of what can be achieved in embedded systems.