Compare the Top IoT Development Platforms in Asia as of April 2025

What are IoT Development Platforms in Asia?

IoT development platforms are suites of tools that provide the software, hardware and services needed to develop and manage applications for connected devices. These platforms allow developers to access remote collection points, such as sensors or other networks, to control the devices and interact with them in real time. They also provide multiple development environments, allowing developers to develop applications with an array of languages, frameworks and protocols. IoT development platforms offer secure data storage and communication capabilities to ensure the security of data collected from connected devices. Compare and read user reviews of the best IoT Development platforms in Asia currently available using the table below. This list is updated regularly.

  • 1
    Qubitro

    Qubitro

    Qubitro

    Qubitro enables collaboration on device data and modern application development. There are no ingestion or extraction limits and they don't have an effect on usage. Qubitro supports popular data sources out-of-the-box and provides tools for real-time collaboration on your projects combined with scalable infrastructure. To build with Qubitro, you need to create a project that groups data sources and other platform features. Amplify your startup's solution through events and marketing initiatives.
    Starting Price: $2 per device per month
  • 2
    Crosser

    Crosser

    Crosser Technologies

    Analyze and act on your data in the Edge. Make Big Data small and relevant. Collect sensor data from all your assets. Connect any sensor, PLC, DCS, MES or Historian. Condition monitoring of remote assets. Industry 4.0 data collection & integration. Combine streaming and enterprise data in data flows. Use your favorite Cloud Provider or your own data center for storage of data. Bring, manage and deploy your own ML models with Crosser Edge MLOps functionality. The Crosser Edge Node is open to run any ML framework. Central resource library for your trained models in crosser cloud. Drag-and-drop for all other steps in the data pipeline. One operation to deploy ML models to any number of Edge Nodes. Self-Service Innovation powered by Crosser Flow Studio. Use a rich library of pre-built modules. Enables collaboration across teams and sites. No more dependencies on single team members.
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