As of November 2026, Latka tracks 3 predictive maintenance software companies with $100M+ in annual revenue. They have combined revenues of $383.6M and employ 1.4K people. They have raised $397.8M.
Every company below sells predictive maintenance software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
Predictive maintenance software is designed to forecast when equipment failures might occur, allowing for proactive maintenance actions. By utilizing various condition-monitoring techniques, such as vibration analysis, thermal imaging, and IoT-driven data collection, these solutions help organizations minimize downtime and extend the operational lifespan of their assets. Typically employed in industries like manufacturing, energy, and transportation, predictive maintenance software streamlines workflows that involve data analysis and equipment monitoring. Common features include real-time alerts, analytical tools for diagnosing issues, and dashboards for tracking equipment health, which cater to maintenance engineers, operations managers, and IT professionals alike. Users benefit from a shift away from traditional time-based maintenance schedules, instead focusing on the actual condition of assets and predicting failures before they happen. This results in cost savings, enhanced safety, and improved reliability while enhancing overall operational efficiency.
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Showing 3 of 3 companies ranked by annual revenue.
New York, New York, United States
Augury provides insights into the health of machines and processes, helping manufacturers increase production, improve quality and reduce costs and waste. It specializes in AI-driven solutions for monitoring machine health and process efficiency in industrial operations.
San Francisco, California, United States
MaintainX is the leading maintenance and work execution software, designed specifically for industrial and frontline teams. We help companies streamline maintenance operations, improve asset management, and empower workers—all while delivering insights that can improve your bottom line. As a mobile-first platform, MaintainX delivers a modern, IoT-enabled solution for maintenance, reliability, and operations teams trusted by over 8k companies worldwide. If you’re looking for an AI-enabled CMMS solution that’s easy to use and implement, look no further. The MaintainX platform manages millions of work orders and assets, and is used by more than 500K frontline professionals globally. We help customers reduce unplanned downtime and increase asset availability, while meeting complex compliance needs and keeping workers safe. Ready to ditch the clipboard? Here's what we can help your team digitize: -Maintenance Work Orders -Preventive Maintenance -Safety Procedures -Safety and Environmental Audits -Multi-site Reporting -IoT & ERP Integrations -Auditing/Inspection Workflows -Training Checklists -Parts Order Management & Vendor Connections We’re proud to serve some of the world’s largest brands, including Duracell, AB InBev, Univar, Cintas, McDonalds, Titan America, and many more. To learn more, please visit www.maintainx.com
Alpharetta, Georgia, United States
Infinite Uptime is an Industrial AI pioneer delivering Production Outcomes to manufacturers globally. By helping them drive Prescriptive Maintenance and offering predictive maintenance platforms, the company assists in managing operational risks and minimizing downtime.
Latka tracks 3 predictive maintenance software companies with $100M+ in annual revenue. Together they generate $383.6M in annual revenue and employ 1.4K people.
Augury is the largest, with $155M in annual revenue, founded in 2011.
The average predictive maintenance software company in this list makes $127.9M a year, across 3 companies with reported revenue.
Ranked by annual revenue, the leaders are Augury, MaintainX and Infinite Uptime.
The 3 predictive maintenance software companies with $100M+ in annual revenue tracked here have raised $397.8M in disclosed funding between them.
- The software must use data analysis and monitoring techniques to predict equipment failures. - It should enable real-time condition monitoring through sensors or IoT technology. - Must provide features for setting alerts and notifications based on equipment status. - The solution should include analytics tools for diagnosing potential issues before they occur. - Must demonstrate functionality in industries relying on heavy machinery or critical equipment. - Not just focused on scheduling maintenance; must also prioritize predictive insights and analytics.