Compare the Top IoT Analytics Software for Windows as of July 2025

What is IoT Analytics Software for Windows?

IoT analytics software enables organizations to view, monitor, and analyze data collected from IoT devices and machines. IoT analytics software allow companies to understand what's happening with their IoT infrastructure by collecting IoT sensor data. Compare and read user reviews of the best IoT Analytics software for Windows currently available using the table below. This list is updated regularly.

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    TRACTIAN

    TRACTIAN

    Tractian

    Tractian is the Industrial Copilot for maintenance and reliability, providing a cutting-edge platform designed to prevent unplanned downtime, boost operational efficiency, and enhance maintenance capacity. Trusted by global brands such as Bosch, Kraft Heinz, Carrier, Hyundai, Johnson Controls, and P&G, Tractian combines condition monitoring, energy efficiency, and a CMMS into a comprehensive, mobile-first solution. With Tractian, you can: Monitor real-time vibration, temperature, runtime, and RPM across critical assets Get real-time alerts and detailed diagnostics to address potential issues before they lead to failures Digitize workflows for streamlined work order management, planning & scheduling, and materials management Optimize energy consumption for improved sustainability and cost savings
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  • 2
    Davra IoT Platform
    Davra IoT helps companies, fleet owners, OEMs, municipalities and others to define, build and rapidly bring industrial-grade IoT applications on a reliable, secure and scalable IoT platform. Get your IoT project to the market in less than 50 days. Experience an open system with integrations at its core. Reduce your IoT project cost by up to 80%. Get descriptive, diagnostic, predictive and prescriptive analytics data. Run our cloud-based streaming analytics, ML, NLP and AI algorithm at the edge of the network. Experience HTML5 dashboard visualization, advanced Geo-mapping, layout manager and much more. Get a complete developer suite with source control, versioning, full code editor and more. Provide an "asset-centric view" of IoT devices by attaching both static and dynamic attributes. Leverage a complete microservice-based design for infrastructure libraries and runtime engines.
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