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Top 40 Digital Twin Software SaaS Companies in May 2026

As of May 2026, there are 40 SaaS companies in Digital Twin Software. They have combined revenues of $378.5M and employ 2.4K people. They have raised $186.3M and serve 20M customers combined.

Digital Twin Software is a category of technology that enables the creation of a virtual representation of a physical object, system, or process. This software allows users to simulate, analyze, and optimize performance in real time, facilitating better decision-making and predictive analytics across various industries. Typical use cases include monitoring manufacturing processes, improving product design, and optimizing supply chain operations. Common features of Digital Twin Software include data integration capabilities, real-time monitoring, predictive maintenance tools, and visualization tools that display the digital twin in engaging formats. This software is utilized by a diverse range of professionals, including engineers, operations managers, and data analysts, who seek to leverage data insights to improve operational efficiency and product development. Digital twins are also used in sectors such as healthcare and urban planning, reflecting their adaptability to a wide array of contexts.

Companies
40
Revenue
$378.5M
Funding
$186.3M
Employees
2.4K

Filters

Sorting: Highest -> Lowest

Filters

Top Digital Twin Software Companies

Showing 10 of 1 companies ranked by annual revenue.

1
Augury

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.

Revenue
$155M
Customers
-
Year founded
2011
Funding
$155M
Team size
357
Growth
106.67%

Inclusion Criteria

- Must provide capabilities to create virtual representations of real-world entities - Should offer real-time data integration and monitoring functionalities - Must include analytical tools for predictive maintenance and performance optimization - Should support visualization features for better insights and decision-making - Not just providing data storage; must also enable simulation and analysis of the digital twin model - Must cater to professionals in design, engineering, and operations within various industries