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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 22 companies ranked by annual revenue.

1
NetObjex

Mumbai, Maharashtra, India

Developer of smart city infrastructure platform designed to bridge the gap of connecting the physical world to the virtual world. The company's technologies enable the development of solutions that collect and gather valuable data in real time, providing enterprises with tracking of assets, tracing of ingredients and better system performance.

Revenue
$4.8M
Customers
20M
Year founded
2015
Funding
$3.6M
Team size
74
Growth
-
2
Plexigrid

Stockholm, Sweden

💛🍃⚡Plexigrid is reinventing electricity grids by developing software that provides distribution grid operators with the real-time analytics, control, and flexibility capabilities they need to efficiently enable the energy transition. ❤️💙💛We are a Swedish & Spanish deep tech scale-up with roots from the University of Oviedo, combined with leading experience in the renewable energy industry. We develop software that enhances, optimizes, and saves time for engineers involved in the operations, planning, and monitoring of the distribution grid. 🎯Monitoring? Load flow analysis? Connection requests? Flexibility management? The functionalities are many. Some examples of applications & functionalities include; ⚡ Low & Medium voltage monitoring ⚠️ Outage detection 🔋 Adding storage ☀️ Adding residential PV 🚗 Adding EV chargers 🔌 Connection requests scenarios 📈 Optimize load flows & configurations 🖥️ Monte Carlo simulations ⏺️ Real-time interaction 📄 Reporting tools 🎯Imagine if you had a full digital twin of your network. Not only that, but a real-time digital twin, updated as we go. This allows you to have abilities that can be extremely complimentary to your exisiting systems, such as SCADA, ADMS & GIS/NIS. It will be a crucial tool for network operators to have in their belt, making it possible to integrate the large amounts of DER in the near future. 💸Our technology will enable a more intelligent and efficient operation of electricity distribution grids and save hundreds of billions in grid CAPEX/OPEX savings for grid operators and their customers, making the energy transition faster, more affordable, and more sustainable for billions of people.

Revenue
$4.3M
Customers
-
Year founded
2020
Funding
-
Team size
39
Growth
-
3
BizzTech

Austin, Texas, United States

BizzTech is the innovator behind Smart Spaces: intelligent, responsive environments powered by cutting-edge technology. Think spaces that adapt to your needs in real time, whether it’s adjusting energy use, streamlining operations, or creating personalized experiences. By leveraging IoT, AI, digital twins, interactivity and immersive tech, we transform physical spaces and static digital twins into dynamic ecosystems that enhance lives, boost efficiency, and support sustainability. What are Smart Spaces? Smart Spaces are environments where advanced technology meets smart design. They use real-time data and intelligent systems to create adaptable, user-centered, and sustainable experiences. From smart campuses to smart fabrics and urban districts, these spaces optimize resources, promote green practices, and put people at the heart of innovation. With strategic partnerships with tech giants, BizzTech leads the way in creating future-ready spaces that work for everyone—businesses, cities, and communities alike. Whether you're rethinking your urban landscape or transforming your company’s facilities, we’re your go-to for shaping a smarter, greener tomorrow.

Revenue
$4M
Customers
-
Year founded
2018
Funding
-
Team size
36
Growth
-
4
TwinThread

Charlottesville, Virginia, United States

Developer of a digital innovation platform designed to permit manufacturers to profit from the industrial internet of things. The company's platform offers first per-asset subscription service along with monitoring equipment and automatically identifying opportunities, enabling manufacturers to isolate, replicate and scale peak performance.

Revenue
$3.8M
Customers
-
Year founded
2016
Funding
-
Team size
45
Growth
114.47%
5
H3 Zoom.AI

Singapore, Singapore, Singapore

H3 Zoom specializes in a comprehensive suite of AI-powered solutions, expertly designed for the built environment ecosystem. We focus on end-to-end continuous monitoring to reduce deferred maintenance costs and quality issues. Our proprietary, sensor-agnostic technology efficiently processes data from a variety of sources, including 360 cameras, drones, and ground robotics. Targeting real estate, smart cities, and facilities management sectors, we aim to digitise condition assessment and prolong the lifespan of buildings, turning complex data into actionable insights for sustainable and efficient building management.

Revenue
$3.2M
Customers
-
Year founded
2018
Funding
-
Team size
29
Growth
-
6
BOX ID Systems

Munich, Bayern, Germany

Supply Chain Logistics SaaS IIoT FreightTech experts developing highly scalable Digital Twin Process Mining & Prescriptive Analytics System.

Revenue
$3M
Customers
-
Year founded
2018
Funding
-
Team size
21
Growth
52.14%
7
Chain Technology

Hong Kong, Hong Kong

Deliver digital twin & smart construction solution

Revenue
$2.9M
Customers
-
Year founded
2016
Funding
-
Team size
29
Growth
89.21%
8
SORBA.ai

Jacksonville, Florida, United States

SORBA.ai (SAI), is an Industrial Artificial Intelligence Operating System (AIos). Empowering ALL Industrial Engineers To Solve Complex Problems by Building Simple AI Solutions. One unified data analytics automation platform, unlimited solutions. Data Management Features (DataOps): Our platform equips users with auto-ETL self-provisioning services that contain a combination of 60+ dataops tools- from legacy automation drivers, to future state cloud IoT connectors, connecting, collecting and visualizing your machine data has never been easier. DataOps practitioners also have access to mission-critical data/feature engineering features: - Real-time interactive .cython analytics scripting engine (.py code compiled in c++) - Workflow Orchestration (nodered: 3rd party OT/IT application integration) - Dashboard Designer (40+ Real-Time Data Visualization Panel Options) - Alarm Management System (Notifications, Alert Logic, Task Flow) - Production Data Analyzer (Auto OEE KPI Calculations) - Vibration & Electrical Data Analyzer (Auto PDM Analysis) Data Analytics Features (MLops): Our automated machine learning (Auto-ML) studio utilizes a patented 4-click wizard-based user interface that gives developers instant access to a suite of 6+ Auto-ML pipelines and 10+ off-the-shelf templated applications to quickly model your datasets for real-time closed-loop monitoring or control deployments: 1. Unsupervised Learning: Clustering (Anomaly Detection) & Regression (Single Predictions) 2. Supervised Learning: Classification (PDM) 3. AI Process Optimization & Control (APC) 4. Digital Twin (Multiple Predictions) 5. Reinforcement Learning 6. Time-series Forecasting

Revenue
$2.6M
Customers
-
Year founded
2015
Funding
-
Team size
24
Growth
-
9
Autonoma, Inc

Auburn, AL, United States

Autonoma is blurring the lines between simulation and real-world operation of autonomous vehicles. By creating testing environments that blend together real and synthetic data, we enable safer development of AVs.

Revenue
$2.5M
Customers
-
Year founded
2022
Funding
-
Team size
23
Growth
-
10
dDriven

United States

dDriven is a pioneering Industry 4.0 Data Platform company based out of Singapore. The company was founded in 2016 by industry veterans who have been right at the intersect of Manufacturing and Technology for decades. The Manufacturing industry has invested more than a trillion dollars in mission-critical IT and OT applications over the last 10+years. It continues to spend more than USD 200 billion each year on IT, OT and IoT assets. While these are the most valuable assets of the industry, they are also the biggest bane. A confluence of 25 to 50+ IT/OT data streams supports the day to day operations in any typical manufacturing and business operation. The process is manual, and the outcome is siloed - resulting in delays and blind spots that ultimately lead to losses, inefficiencies and accidents - disconnected manufacturing. The manual and fragmented process of preparing data for analytics, be it AI/ML, dashboards or reports, is a common bottleneck and the biggest barrier to any form of Digital Transformation endeavour. It is the primary root cause of disconnected manufacturing. dDriven’s no-code platform UNLSH addresses this critical pain point. It cohesively blends machine, manufacturing, and business data to create analytics augmented cyber replicas of enterprise-wide operations in its entirety. It reduces IT complexity and time-to-value by up to 80% in any large-scale analytics and digital transformation initiative.

Revenue
$2.4M
Customers
-
Year founded
2016
Funding
-
Team size
22
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