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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

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Top Digital Twin Software Companies

Showing 10 of 4 companies ranked by annual revenue.

1
meteoviva

United States

With over seven million hours of operation, MeteoViva is the leading smart data provider for optimised building operations worldwide - and ISO 27001 certified. With its digital services, MeteoViva accelerates the decarbonisation and efficiency gains of commercial real estate portfolios. Whether new build, existing or retrofit - MeteoViva makes every building smart and connects it to the future. ESG criteria and certification met MeteoViva optimises the operation of buildings and provides proof of its impact at the same time. The smart data solution is an important building block for every ESG strategy and DGNB certification. With us, you secure at least a silver DGNB certificate from the outset. MeteoViva Climate is the first product to be recognised by the German Sustainable Building Council as a service for the "Building in Operation" system. Climate protection with full cost control With MeteoViva's Sustainable Buildings as a Service, you have predictable, fixed monthly service payments with guaranteed savings. As an operational service, the fee is apportionable to tenants. The technology is based on a computer simulation model and connects to an existing building management system and prioritizes HVAC equipment according to consumption and demand load charges. The technology is currently used across Europe and in the US. www.meteoviva.com Imprint: https://www.meteoviva.com/en/footer/imprint/

Revenue
$7.3M
Customers
-
Year founded
-
Funding
-
Team size
66
Growth
-
2
VEERUM

Calgary, Alberta, Canada

Developer of an industrial Internet of Things technology system designed to improve the viability of energy projects. The company's system eliminates rework from industrial projects through creation of exact replica of project site, virtual fabricated parts, logistics management and construction monitoring, enabling clients to finish their projects safely, on time and within budget.

Revenue
$6.7M
Customers
-
Year founded
2014
Funding
-
Team size
57
Growth
50.92%
3
Mechademy Incorporated

Houston, Texas, United States

A cloud-based SaaS platform for remote monitoring of Turbo-machinery, providing performance analytics & ML based prescriptive insights

Revenue
$6.3M
Customers
-
Year founded
2017
Funding
-
Team size
44
Growth
25.94%
4
Cyvl.ai

Somerville, Massachusetts, United States

Cyvl.ai specializes in infrastructure intelligence, focusing on civil infrastructure management for governments. The company provides a mapping system that automates pavement and sidewalk assessments, captures street assets, and offers a digital twin of urban infrastructure.

Revenue
$5.6M
Customers
-
Year founded
2020
Funding
-
Team size
45
Growth
-

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