Best IoT Analytics Software

Compare the Top IoT Analytics Software as of June 2025

What is IoT Analytics Software?

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 currently available using the table below. This list is updated regularly.

  • 1
    Datadog

    Datadog

    Datadog

    Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.
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    Starting Price: $15.00/host/month
  • 2
    Memfault

    Memfault

    Memfault

    Reduce risk, ship products faster, and resolve issues proactively by upgrading your Android and MCU-based devices with Memfault. By integrating Memfault into smart device infrastructure, developers and IoT device manufacturers can monitor and manage the entire device lifecycle, from development to feature updates, with ease and speed. Monitor hardware and firmware performance, remotely investigate issues, and incrementally rollout targeted updates to devices without disrupting customers. Go beyond application monitoring with device and fleet-level metrics, like battery health and connectivity with crash analytics for firmware. Resolve issues more efficiently with automatic detection, alerts, deduplication, and actionable insights sent via the cloud. Keep customers happy by fixing bugs quickly and shipping features more frequently with staged rollouts and specific device groups (cohorts).
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