Compare the Top IoT Analytics Apps for Android as of June 2025

What are IoT Analytics Apps for Android?

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

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    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
    Visual KPI

    Visual KPI

    Transpara

    Real-time operations monitoring and data visualization, including KPIs, dashboards, trends, analytics, hierarchy and alerts. Aggregates all of your data sources (industrial, IoT, business, external, etc.) on the fly without moving the data, and displays it in real-time with obvious context on any device.
  • 3
    Datonis

    Datonis

    Altizon Systems

    A next-generation digital manufacturing platform powered by the Internet of Things. Datonis has out-of-the box apps for monitoring, measuring, analyzing and predicting outcomes using the power of AI. A platform-based approach to seamlessly connect IT/OT systems and monetize know-how as new applications and offerings. Interplant process benchmarking, predictive quality models, real-time quality audit compliance. Process compliance alerts, Cpk trends, quality rejection & scrap monitoring, process correlations with defects. Checklist schedule violation alerts, trend analysis of checklist data, flexible framework to define different types of checklists. Get checklist notifications, record observations on tablets, refer to photos and videos before making a decision on checklist items. Interactive app for operators to engage with the platform and monitor progress in real-time. Operator workbench to provide inputs, raise alarms, call for support, and refer to the engineering documentation.
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