10 Best IoT Development Tools to Consider in 2025

Imagine a world where your smartwatch monitors your health, your car communicates with your phone, and you can adjust the electrical system of your home according to your preferences—all seamlessly connected and easily controlled.

This is the power of the Internet of Things (IoT), changing how we interact with technology in everyday life. But what’s behind these intelligent systems? What makes it possible for devices to communicate and respond instantly? In this blog, learn about some of the most exciting and versatile IoT development tools shaping the future—making everything from micro-mobility devices to industrial sensors more innovative and efficient. Let’s get started!

1. Flutter 

Flutter is a powerful open-source IoT tool that is ideal for developing cross-platform apps for Android, iOS, web, desktop, and embedded systems using a single codebase. It streamlines the app development process by allowing you to efficiently create, test, and deploy stunning applications.  

Flutter performs well with its scalable and user-friendly interface across small and large-scale projects. Additionally, it supports integration with platform-specific features like Bluetooth communication, offering flexibility and adaptability. 

2. ThingBoard 

ThingsBoard is an open-source IoT platform that supports HTTP, MQTT, CoAP, and other IoT protocols that rival cloud or on-premises deployments. The program may be used to manage devices as well as gather, process, and visualize data. 

You will find 30 dashboard widgets that can adjust and normalize device inputs for alert generation. These widgets can manage several devices simultaneously on a dependable platform. For example, if you have a smart home system with lights, thermostats, and security cameras, the platform can easily manage all of them. 

3. Microsoft Azure IoT 

Microsoft Azure is a cloud-based platform that supports open-source technologies and enhances distributed IoT networks by enabling on-device processing.  

It allows remote device monitoring via an internet dashboard without hardware requirements and data analysis, making it one of the best IoT development platforms in 2025. 

4. Eclipse IoT 

Eclipse IoT, created by the Eclipse Foundation, is a bundle of essential development tools. Academics and industry professionals collaborated to produce this suite of open-source tools for the IoT developer community. Each Eclipse tool performs a particular job.  

For example- Eclipse Streamsheets provide non-programmers the freedom and capacity to work with event streams.  It gives beginners an edge when creating stream processing apps with their existing spreadsheet skills (like Google Sheets or Excel).   

Eclipse IoT tools are free and open source, where anyone can download, edit, and use them. Due to their numerous variations, they are also extremely adaptable. The disadvantage is that no actual services are included—the tools' producers will not handle anything for you.  

5. Raspberry Pi OS 

Raspberry Pi OS is specifically designed for Raspberry Pi devices. This popular IoT hardware tool can be plugged into a TV or monitor and controlled with a mouse or a keyboard. It functions like a regular computer and is widely used for prototyping IoT devices. 

The Raspberry Pi OS allows you to configure language, password, and other settings. This is very important depending on where you sell the IoT gadget. It is free and made specifically for Raspberry Pi, making it the greatest choice for running on devices built with their hardware. 

6. Blynk 

Blynk is a popular Internet of Things platform for quick prototyping and mobile application development. It includes tools for creating IoT dashboards, managing devices, and connecting mobile apps and IoT devices.  

With an easy-to-use drag-and-drop interface, Blynk enables users to develop bespoke mobile applications for managing IoT devices. It also allows users to monitor and control equipment remotely from their smartphone and tablet.

 7. IBM Watson IoT  

IBM Watson IoT is an advanced platform that integrates artificial intelligence, machine learning, and Internet of Things technologies to assist enterprises in developing better IoT applications.  

IBM Watson IoT employs AI and machine learning to evaluate data from IoT devices and give actionable information. It manages and controls devices securely, guaranteeing adequate connectivity and data transmission.  

IBM Watson IoT also provides enterprise-grade security, including encryption, identity management, and safe data storage. It offers specific solutions for automotive, manufacturing, and healthcare industries, making it suitable for various IoT applications.   

8. EdgeX Foundry 

The EdgeX Foundry is an open-source platform designed for developing and maintaining IoT applications. For developers that need customization and want to avoid vendor lock-in, its versatility and flexibility make it perfect. 

It enables cross-platform interaction by supporting a large range of devices and communication protocols. The platform manages and processes data in real-time using cloud and edge computing technologies for scalability and low latency. Additionally, it can be integrated with external big data tools, such as Apache Spark for large-scale data handling, and stream processing engines like Apache Flink for real-time insights.  

EdgeX Foundry includes built-in security features such as API gateway authentication, encryption, and secure data storage to protect IoT devices. As more businesses seek affordable, customizable IoT solutions by 2025, EdgeX Foundry provides a scalable SDK toolkit for developing IoT apps without any proprietary limits. 

9. Amazon Web Services (AWS IoT Core) 

Amazon Web Services (AWS IoT Core) is a fully managed cloud solution that allows organizations to connect and manage devices without maintaining underlying infrastructure. AWS offers tools and services for IoT data management, device control, and custom app development. It supports secure and reliable device connections via protocols like MQTT, HTTPS, and WebSockets, enabling users to register, categorize, and monitor devices throughout their lifecycle. 

AWS provides robust data analysis and machine learning tools, such as AWS IoT Analytics and AWS SageMaker, along with advanced security features like end-to-end encryption, device authentication, and anomaly detection.  

10. Google Cloud IoT 

Google Cloud IoT offers a suite of technologies that help businesses connect devices, analyze data, and build intelligent applications. Seamlessly integrated with other Google Cloud services like BigQuery, TensorFlow, and Cloud Machine Learning Engine, it is ideal for companies focused on IoT data analytics and machine learning. 

With features like remote configuration, monitoring, and secure device control across regions, Google Cloud IoT simplifies device management. Services like Cloud Pub/Sub and Dataflow enable efficient data processing, storage, and real-time analytics. 

By leveraging Google's AI tools, businesses can create more innovative IoT systems using predictive analytics and deep learning, unlocking valuable insights and automation. Whether a small project or a large enterprise system, Google Cloud IoT simplifies IoT application development with powerful tools for data integration and AI-driven analytics. 

Conclusion

With the ongoing demand for IoT technology, IoT development tools are becoming increasingly sophisticated and potent. Choosing the right platform is essential to harnessing the full potential of IoT. From AWS IoT Core’s scalability to Google Cloud IoT’s powerful data analytics, each platform offers unique features to help bring your connected ideas to life. As IoT technology evolves, selecting the appropriate IoT tools will be critical to fostering innovation and developing efficient solutions across sectors.