As of May 2026, there are 467 SaaS companies in IoT Analytics Platforms. They have combined revenues of $3.3B and employ 19.7K people. They have raised $3.5B and serve 536.1M customers combined.
IoT Analytics Platforms facilitate the collection, processing, and analysis of data generated by Internet of Things (IoT) devices. They enable organizations to turn vast amounts of sensor and device data into actionable insights, supporting decision-making processes across various industries. Common use cases include predictive maintenance, operational efficiency optimization, and enhanced customer experiences through personalized services. These platforms typically feature capabilities such as data integration, real-time analytics, advanced visualization tools, and machine learning algorithms. Buyers of IoT analytics solutions often come from IT departments, data analytics teams, and operational roles that seek to derive value from IoT data to improve processes, enhance product offerings, and drive strategic initiatives.
Sorting: Highest -> Lowest
Showing 10 of 58 companies ranked by annual revenue.
Boston, Massachusetts, United States
Tive is a Boston-based startup that helps companies take the surprises out of their supply chains through true end-to-end visibility. They provide sensor-driven tracking solutions for cellular connectivity and real-time monitoring of shipments.
San Francisco, California, United States
time-series data management and analytics platform
Pune, Maharashtra, India
Haber is an AI-driven automation platform designed to optimize processes and utility management, integrating data collected through sensors to improve plant efficiency and output.
Houston, Texas, United States
INT is a software provider of Advanced Data visualization solutions and Platform (HTML5) used in O&G, Geoscience, IoT, Manufacturing.
Izegem, West Flanders, Belgium
Skyline Communications' innovative DataMiner xOps platform empowers global leaders to manage mission-critical ecosystems, including telecom networks, satellite operations, broadcast platforms, utility grids, and smart infrastructures spanning cities, facilities and venues, transportation hubs, and industrial installations. DataMiner xOps fast-tracks digital transformation and empowers organizations to operate as agile, data-driven powerhouses that thrive in a rapidly evolving world. By unifying diverse data sources and controls—from hardware, software, and cloud services to operational and business insights—DataMiner provides a real-time digital twin for seamless monitoring, AI-driven analytics, hyper-automation, and resource-aware orchestration. Combining out-of-the-box solutions with customizable flexibility, DataMiner xOps fosters innovation, backed by a vibrant global DevOps community. With deployments in 125+ countries, Skyline Communications is the trusted partner for organizations seeking scalable, future-proof xOps solutions. With its global presence and offices in Belgium, Bosnia and Herzegovina, Portugal, Singapore, UAE, and the US, Skyline empowers organizations worldwide to take control of their operations and drive innovation with confidence. Mail: [email protected] Tel: +32 51 31 35 69 VAT number: BE 0428.257.869
San Francisco, California, United States
Density builds sensors and software that help companies understand how their spaces get used. Companies from Fortune 500s to high growth startups use our insights to make smarter workplace decisions, unlocking higher ROI and a better experience for their employees. Today, Density partners with household names in technology, financial services and higher education that occupy more than 1B square feet worldwide.
Serres, Greece
Infogrid combines IoT sensors with AI to optimize and automate building management, making buildings smarter, more efficient, and more sustainable.
Washington, District Of Columbia, United States
Developer of mobile proximity beacon services designed to generate customer traffic analytics. The company's services leverages the wireless signals of mobile devices, such as Wi-Fi, Bluetooth and GPS, to detect when visitors are in close proximity to important points-of-interest and use this information to provide a better understanding of customer shopping patterns, enabling developers, major retailers, restaurant chains, sports complexes and other brick-and-mortar operators to generate customer traffic analytics and drive innovative customer engagements.
- The platform must support data collection from a variety of IoT devices and sensors. - It should offer real-time data processing and analytics functionalities. - Advanced analytics capabilities, like machine learning or predictive modeling, are necessary. - The solution must include visualization tools for presenting data insights effectively. - Must provide integration with existing business systems and data lakes. - Not just focused on data storage; must also facilitate actionable insights generation.
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