From data to decisions: Turning measurements into engineering intelligence at Automotive Testing Expo North America
Join us:
Automotive Testing Expo North America 2026
Date: October 27-29, 2026
Location: Vibe Credit Union Showplace, Novi, MI USA
Find us at Booth T1040
Transforming automotive test data into confident engineering decisions
The automotive industry is evolving at an unprecedented pace. Electrification, software-defined vehicles, advanced driver assistance systems and growing product complexity are placing new demands on engineering teams. Today, success depends not only on how quickly vehicles can be tested, but also on how effectively organizations can transform data into engineering decisions.
To meet these challenges, automotive leaders are looking beyond standalone tools and isolated workflows. They need a connected approach that brings together physical testing, simulation, data management and AI to accelerate development while maintaining confidence in every decision.
At this year’s Automotive Testing Expo North America, Siemens will demonstrate how next-generation data acquisition, AI-ready data workflows, virtual prototyping and physical testing can be combined into a unified engineering environment. The event will also mark the public debut of the newest member of the Simcenter SCADAS family: Simcenter SCADAS ES.
Connecting data acquisition, AI and engineering workflows
Modern testing generates vast amounts of measurement data from sensors, vehicle networks, test benches and proving grounds. The challenge is not limited to acquiring data, but expands towards transforming it into trusted insights that can be shared, reused and leveraged throughout the development process.
This is where AI is making a difference. AI-powered workflows help automate data preparation, accelerate analysis and uncover patterns that would otherwise remain hidden. Combined with virtual prototyping and physical validation, AI enables teams to move more efficiently from data to decision, reducing engineering effort while increasing confidence in the results.
Rather than treating testing, simulation and analytics as separate activities, Siemens connects them into a continuous workflow that supports decision-making from early design exploration through final vehicle validation.
What you’ll see at the Siemens booth
Next-generation data acquisition with Simcenter SCADAS ES
Making its public debut at Automotive Testing Expo North America, Simcenter SCADAS ES extends the trusted Simcenter SCADAS portfolio with a new member of the next-generation data acquisition family built for maximum flexibility and scalability. Its modular architecture, onboard acquisition software and open connectivity help engineers deploy measurements faster, scale seamlessly across applications and generate trusted, high-quality data directly at the source. Trusted data becomes more valuable when it can flow freely across the engineering process. That is why Simcenter SCADAS ES embraces openness. With Test Connect, engineering teams can integrate Siemens and compatible third-party software and hardware solutions into connected workflows, helping ensure that data remains accessible, reusable and ready for advanced analytics and AI-powered applications.
Whether performing vehicle validation, durability testing or NVH investigations, Simcenter SCADAS ES provides the foundation for modern testing workflows.
More value from Simcenter SCADAS with Simcenter Testlab Go at no extra cost
Also making its debut is Simcenter Testlab Go, a new PC-based license-free measurement application, based on the Simcenter Testlab foundation, that lowers the barrier to entry to time data acquisition, monitoring and validation. By combining trusted data acquisition with effortless deployment, Simcenter Testlab Go removes barriers such as license management, dongles and network dependencies, enabling more engineers to access testing capabilities and get more value from existing hardware.
AI-ready data workflows
Reliable engineering decisions start with trusted data. Siemens will demonstrate how AI-ready workflows automate data collection, processing and organization, transforming measurement results into a reusable engineering asset. By reducing manual effort and creating well-structured datasets, teams can accelerate analysis, improve collaboration and establish a solid foundation for AI-powered engineering applications.
Automated component model extraction: Accelerating virtual prototyping
Visitors will also discover Siemens’ new automated component model extraction (AutoCMX) technology. AutoCMX rapidly transforms physical test data into simulation-ready component models, reducing the effort required to build accurate virtual prototypes. By combining automation and model-based engineering, engineers can evaluate more design alternatives earlier in development, improve model quality and strengthen the connection between test and simulation.
A closed-loop approach to vehicle development
Together, these technologies demonstrate how Siemens is helping automotive organizations connect data acquisition, AI, simulation and physical validation into a single workflow.
Next-generation acquisition systems generate trusted engineering data. AI-powered workflows convert that data into actionable insights. Virtual prototyping helps predict performance and explore alternatives earlier in development. Physical testing then validates real-world behavior and continuously improves engineering models.
The result is a more efficient and intelligent development process that helps teams test faster, work smarter and predict earlier to make better decisions and bring high-quality products to market with confidence.
Join Siemens at Automotive Testing Expo North America
Automotive Testing Expo North America brings together engineers, validation specialists and technology leaders focused on the future of vehicle development. Visit the Siemens booth to experience how Simcenter SCADAS ES, AI-ready data workflows, AutoCMX and the broader Simcenter portfolio are helping organizations test faster, work smarter and move from data to decisions with confidence.
