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.
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Showing 10 of 136 companies ranked by annual revenue.
Cary, North Carolina, United States
ProAxion is an Industrial Internet of Things (IIoT) company whose mission is to maximize the up-time and overall competitiveness of industrial manufacturing facilities. The company's technology allows customers to predict and prevent disruptive failures of industrial machines by leveraging the latest in wireless sensor and computing technology.
London, United Kingdom
Next Generation Digital Twin platform providing AI -powered spatial intelligence
United States
Twinview is a browser-based Digital Twin platform for the property sector connecting building systems’ data to a 3D model viewed on single customisable dashboards. Twinview delivers measurable value by optimising operational performance, reducing carbon, increasing productivity and improving space utilisation. Operations optimisation in the property sector ensures that operations are performing as efficiently as possible. Typically, the goal is to minimise costs and maximise operational capabilities. Twinview goes beyond cost management. It uses data from thousands of assets in a building to provide opportunities for operational efficiency. Every building generates large amounts of data that is often unconnected or used to deliver value to property owners. Twinview connects, analyses and visualises asset data to provide insights and opportunities to optimise operational performance. Customisable dashboards provide essential data to assist in achieving businesses goals and facility managers can access and control a building's assets remotely via a web browser using a desktop computer, tablet or mobile phone. Building performance can be optimised with access to real-time data to identify carbon reduction opportunities, improved productivity and space utilisation. By understanding how a building is performing and used, with Twinview's support, it is possible to identify areas to optimise operational performance. Productivity in the property sector is affected by the efficient use of resources and capital by maximising performance from as few resources as possible. Twinview puts performance information into the hands of those who need it most, such as on a mobile device without needing to access complex BMS (Building Management Systems).
Philadelphia, Pennsylvania, United States
Microshare provides Sensing as a Service enabling our clients to capture data insights that secure building occupants, realize cost saving and sustainability.
Montreal, Quebec, Canada
LatenceTech offers a cloud and AI-based monitoring and analytics solution for low latency connectivity networks such as Private LTE and 5G. We generate active real-time measurements using multiple IP protocols and then perform AI/ML-based advanced analytics to detect anomalies, predict the near future and perform Root Cause analysis with a focus on latency. We also offer a mobile app to perform latency « spot checks » Go to Google or Apple store to try it out!
Istanbul, Maslak, Turkey
Sensemore is a reliability-focused asset management platform with hardware, software and AI-powered tools specially designed for machine health analysis. We support a digital maintenance culture to increase overall efficiency by eliminating downtime, increasing machine life and decreasing carbon footprint.
London, Greater London, United Kingdom
Coffee Cloud Data Analytics IoT is a full-stack solution to digitize the professional coffee industry. Coffee Cloud software helps coffee producers/suppliers, machine producers/providers, cafe's, restaurants and chains to understand how their coffee machines are being used, giving them precise analytics data to ensure coffee quality and profitability.
Greenwood Village, Colorado, United States
Scytec Consulting Inc., located in Greenwood Village, CO, was formed in 2001 and is a small software development and consulting company. Scytec is focused on the use of technology to design and implement innovative products and systems such as the Scytec DataXchange Cloud based application to improve productivity and utilization of manufacturing equipment. DataXchange™ is a Cloud based manufacturing machine monitoring and reporting system that provides robust real-time and historical manufacturing data viewable on overhead dashboards and on a variety of devices ranging from desktop PCs to iPads, iPhones and Android devices. The Cloud based Software as a Service (SaaS) model with a no commitment monthly service fees provides machine event monitoring with no large capital investment. The Cloud based approach eliminates the need for on-site web and data servers and associated data server maintenance. Highly scalable, the system can be used to monitor one machine, or an entire shop floor, or multiple facilities. Easy-to-use configuration tools lets the users define exactly how they want to interpret and view the data for metrics such as utilization and downtime tracking. DataXchange™ takes input from almost any machine or shop floor device using Fanuc FOCAS™, MTConnect™, tablets, barcode scanners, or hardware adapter modules.
Denver, Colorado, United States
Enterprise cloud solution for asset management and workflow automation using telemetric data.
United States
At Novacene, we are dedicated to making it simpler for buildings to meet their carbon reduction targets and progress towards net zero. Our technology doesn’t just gather data; it transforms it into actionable insights that can actuate other IoT devices, such as lighting controls, quickly and cost-effectively. Most of our customers identify savings within weeks, and these savings can often be automated permanently. Smart building technology isn’t limited to buildings with existing Building Management Systems (BMS). Thanks to affordable IoT sensors and controls, even the 87% of buildings currently without BMS can enjoy the benefits of smart building solutions. Are you ready to discover how Novacene can help you achieve substantial energy savings and meet your ESG goals? Contact us today to start your journey towards more sustainable operations. #SmartBuildings #IoT #EnergyEfficiency #SustainableFuture #netzero #PAS 2035 #Novacene
- 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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