- Revenue
- $115.1M
- Customers
- 650
- Year founded
- 1995
- Funding
- $17.6M
- Team size
- 464
- Growth
- -
Top 20 Industrial IoT Software SaaS Companies in May 2026
As of May 2026, there are 20 SaaS companies in Industrial IoT Software. They have combined revenues of $214.3M and employ 1K people. They have raised $39.9M and serve 1.9K customers combined.
Industrial IoT Software encompasses a range of technologies that enable devices and systems to connect, communicate, and analyze data within industrial environments. This category includes applications for automation, remote monitoring, predictive maintenance, and operational efficiency, leveraging data from sensors and other devices in real-time. The primary use cases for Industrial IoT Software include monitoring equipment conditions, optimizing supply chains, and enhancing safety protocols. Key features often found in these solutions are data acquisition, analytics, visualization dashboards, and integration capabilities with existing enterprise systems. Typical users of these solutions include operations managers, IT professionals, and process engineers who seek to improve productivity and reduce downtime. Finding efficiencies and innovations in manufacturing, energy management, and transportation are common goals for organizations adopting Industrial IoT Software. Compliance with industry standards and the ability to ensure data security are critical considerations for users in these sectors, as they transition to a more connected and intelligent infrastructure.
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Top Industrial IoT Software Companies
Showing 10 of 1 companies ranked by annual revenue.
Inclusion Criteria
- Must provide real-time data collection and analysis capabilities. - Should support integration with a variety of industrial sensors and devices. - Must include tools for predictive maintenance and performance optimization. - Should allow for remote monitoring and management of equipment. - Must facilitate compliance with relevant industry standards and regulations. - Not just for data visualization; must also enable actionable insights based on data analytics.
