Key findings at a glance

• 37% average improvement in on-time delivery rates
• 46% average boost in operational efficiency
• 58% average improvement in inventory tracking accuracy
• 46% average improvement in cost control
• 28% overall business growth reported since implementing MRPeasy

Mike Lurye, North America Business Development Manager at MRPeasy, comments: “Affordable and user-friendly manufacturing ERP systems help small manufacturers punch above their weight class, achieve increasingly higher levels of efficiency, and scale up effortlessly. The results of the customer survey confirm what our clients say in online reviews and during our conversations.”

On-time delivery rate

Ensuring products reach customers when promised is one of manufacturing’s most visible performance indicators. This year, users reported a 37% average improvement in on-time deliveries — showing better schedule reliability, material planning, and overall internal coordination.

For example, US-based industrial lubrication systems manufacturer The Kirkpatrick Group recently shared how MRPeasy enabled them to cut delivery times from up to 30 days to only 1-3 business days.

“Most standard orders ship within one to three days now,” Kevin Blair, Head of Growth, said. “And for complex configurations, the improvement has been equally meaningful.”

Ymani Efunyale, Founder of Philadelphia-based cleaning products manufacturer Good Vibes Clean, added: “MRPeasy allows me to ship products faster because I can better forecast what we’re going to need. That’s the biggest benefit for my customers—quicker delivery times.”

Operational efficiency

Overall operational efficiency saw a 46% average improvement in the survey.

Tony Green, Co-Founder of UK-based wood components manufacturer Bradenham PWC, said that MRPeasy made their internal processes much quicker: “Even though it’s still relatively new, the benefits are already incredible. Time savings are enormous; the system makes everything so quick. If we’d kept the old system, I don’t know how much time we would have lost scaling up.”

Robert Ogden, Owner of RTO Lighting and Lostine, likens MRPeasy to a vital piece of machinery: “MRPeasy is a powerful and necessary tool for manufacturing. It’s like a forklift – when you finally buy your first one, you quickly wonder how you ever lived without it!”

Inventory tracking accuracy

Accurate inventory information is vital to avoid stockouts, reduce waste, and keep production flowing. Users reported a 58% average improvement in inventory tracking accuracy, reflecting better real-time visibility into materials and finished goods.

California-based ball machine manufacturer Hydrogen Sports uses MRPeasy to track inventory across eight locations.

“The beautiful thing with MRPeasy is that I can see our eight locations and understand exactly where any piece of inventory is. If something is running behind, it gets automatically highlighted in a central location. The visibility MRPeasy offers us is priceless because you don’t want to spend your time trying to understand where everything is and what you should have today,” Novia Kaup, Director of Operations, said.

Long Island’s beverage manufacturer Fresh Fizz Sodas took just a few weeks to set up MRPeasy and achieve full traceability.

“Everything we sell now matches up with specific ingredient lots, so we know what our products cost, where the inputs came from, and which customers purchased the products. We get complete visibility,” Founder Yoni Schwartz stated.

Cost control

Cost visibility and control remain top priorities — especially in tighter markets. Respondents reported a 46% improvement in cost control since adopting MRPeasy.

Utah-based LED manufacturer Technodynamics uses MRPeasy to even track wire by the inch, getting a highly accurate overview of their production costs.

“With MRPeasy, we can go back to a manufacturing order and see a full cost breakdown—exactly which parts were unusually expensive, which routing steps were more labor-intensive, and so on,” Alfred Neufeld, Senior Production Engineer, said. “That level of detail is incredibly valuable.”

Sarah Jones, Director at UK-based sauna manufacturer Oceanic Saunas, added: “With MRPeasy, we can assign overheads and have the system automatically calculate product cost based on SKU configurations. I’m much more confident with it now, plus, I can do it very quickly.”

Overall growth since implementing MRPeasy

Beyond operational KPIs, users also reported 28% overall growth in their business since implementing MRPeasy.

Exacta Technologies, a computer hardware manufacturer based in Bristol, UK, has experienced staggering growth in recent years.

Chris Landen, Managing Director, said: “Since we started using MRPeasy, we have achieved over 100% growth in revenue, and we have almost tripled our employee count from 25 to 70 without adding the same proportion of administrative overhead.”

Florida-based electromechanical assembly producer KCL Manufacturing also gained sweeping benefits by adopting the software. Jonathan Greenwald, VP of Operations and Manufacturing, said: “MRPeasy delivers the kind of robust, value-driven ERP capabilities typically reserved for larger enterprises – making it a perfect fit for high-growth manufacturers like us. It’s a tool that needs to be set up and used correctly, but when it is, the value is exceptional.”

What this means for manufacturers

Across varied manufacturing industries and geographies, these survey results show that an integrated manufacturing ERP platform like MRPeasy is essential for improving operations in manufacturing companies. Delivery reliability, inventory tracking, cost control, and operational efficiency are vital to ensuring customer satisfaction, profitability, and growth – especially in industries with fierce competition.

Titled “Connected for Success: Unlock seamless data flow and precision from design to inspection”, the webinar will take place on Wednesday, February 25, 2026, at 9:00 AM EST / 2:00 PM GMT. Attendees will see a practical demonstration of how an integrated approach can reduce manual data entry, minimize translation errors, preserve design intent, and improve traceability, helping organizations create a single source of truth and an auditable compliance trail for OEM and government requirements.

“Manufacturers are under constant pressure to move faster with fewer errors and that requires better interoperability across the lifecycle,” said Tomasz Luniewski, CEO of Capvidia. “By grounding the workflow in open standards like QIF and connecting design intent to downstream execution and measurement, teams can eliminate gaps and build a more traceable, automation-ready process.”

What attendees will learn

The session will cover how to:

• Establish a digital thread that connects data across the product lifecycle
• Ensure seamless communication from design to inspection
• Preserve design intent and improve traceability
• Reduce errors and enhance efficiency
• Create an audit trail of compliance for government and OEM contracts

Registration link: https://go.mi.hexagon.com/l/980223/2026-02-05/3b4lc8

Speakers

• Ken Woodbine, Senior Portfolio Manager, Stationary Metrology Software, Hexagon
• Oggy Dragasevic, Senior Application Engineer, Capvidia

Multi-axis motion control has been an essential component of Beckhoff’s TwinCAT automation software platform for decades with successful deployment in demanding applications across industries. The newly available TwinCAT MC3 software represents the next generation of motion control, and is characterized by a consistent, modular architecture ideal for multi-core and multi-task support. TwinCAT MC3 makes it easier than ever to leverage a single industrial PC (IPC) to automate highly complex machines – even those with hundreds of axes that demand high-performance motion control.

All the features of the previous TwinCAT NC2 motion control solutions are included in this new generation. Additionally, TwinCAT MC3 can be operated in parallel with NC2, and MC3 axes. As a result, new machine components can be implemented with TwinCAT MC3 without having to adapt existing components. TwinCAT MC3 delivers numerous new advantages for motion control applications thanks to its new modular architecture, including multi-core and multi-task support, and no fixed restriction on the number of axes in a machine. Full machine simulation is also possible for programming efforts; users can easily translate a real machine into a highly accurate simulation without major rework.

TwinCAT MC3 can be distributed to several CPU cores on the controller, allowing synchronized movement across all cores. Depending on their speed and function, axes can also be operated on the same CPU core at different cycle times. The CPU core is fully utilized with optimal performance, since the fastest axis no longer sets the rate for all axes.

Siemens announced today that it has been selected by HD Korea Shipbuilding & Offshore Engineering (“HD KSOE”), the intermediary holding company of HD Hyundai, as a preferred partner to establish an integrated platform to manage the entire shipbuilding process as a single data flow to help ensure consistency across all its global shipyard facilities.

The planned platform will form the core foundation of HD Hyundai’s “Future of Shipyard” project, a future-oriented shipyard that it aims to complete by 2030. The project forms part of HD Hyundai’s ongoing efforts to address data discontinuities that have existed across ship design and production processes and to establish a more structured, digitally enabled shipbuilding environment. Through the integrated platform, HD Hyundai aims to strengthen collaboration between engineering and manufacturing functions and to support stable execution of increasingly complex shipbuilding projects.

“The selection of Siemens Xcelerator represents an important milestone in advancing HD KSOE’s digital shipbuilding strategy,” said Taejin Lee, Executive Vice President and Head of Digital Innovation Office, HD Hyundai. “By establishing an integrated digital platform that ensures consistency from design through production, we aim to address long-standing data discontinuity challenges and create a more structured and collaborative shipbuilding environment. This initiative will strengthen our ability to execute increasingly complex projects while enhancing efficiency, quality and competitiveness across our global shipyard operations.”

“Since 2022, Siemens’ collaboration with HD Hyundai has been focused on the future of shipbuilding and the development of next-generation digital design and production platforms,” said Tony Hemmelgarn, president and CEO, Siemens Digital Industries Software. “Siemens Xcelerator and our comprehensive digital twin technologies are well-positioned to support a unified digital thread across design, engineering and production. We look forward to helping HD Hyundai establish a scalable, open and future-ready manufacturing innovation platform that supports sustainable growth and operational excellence.”

Based on the Siemens Xcelerator open digital business platform, HD Hyundai’s “Integrated Platform for Ship Design-Production Consistency” project will deliver a consistent digital thread of key data from design through production. Design and production will be connected in real time through a unified data backbone, significantly reducing inefficiencies and errors caused by data discontinuities between processes.

Within this unified digital environment, standardized data flows and system interoperability will connect key domains including computer-aided design (CAD), product lifecycle management (PLM), digital manufacturing, automation and simulation, enabling major shipyard activities such as planning, construction, expansion and modification to be reviewed in a virtual environment prior to on-site implementation.

HD Hyundai also plans to expand the application of model-based engineering practices and improve collaboration efficiency across organizations and functional teams. In particular, block assembly, welding information, piping, and electrical data will be managed in an integrated 3D model, improving design accuracy, optimizing production planning, and standardizing shop-floor operations.

The scope of the integrated digital platform is expected to extend across a range of vessel types, including commercial vessels and specialized ships. Key areas of application include structured management of equipment and component data, digital model-based performance analysis, lifecycle-oriented maintenance engineering and technical support frameworks for overseas shipbuilding projects.

Additionally, HD Hyundai is working on building an Industrial Metaverse-based digital representation of ships and shipyard sites, implementing “physical artificial intelligence (AI)” technology that can be used even in complex production environments by applying reinforcement learning using synthetic data and industrial intelligence in a virtual learning environment built using Siemens’ Digital Twin technology.

The two companies will take a phased implementation approach expected to begin in 2026, with application to operational vessels targeted from 2028.

Siemens Digital Industries Software helps organizations of all sizes digitally transform using software, hardware and services from the Siemens Xcelerator business platform. Siemens’ software and the comprehensive digital twin enable companies to optimize their design, engineering and manufacturing processes to turn today’s ideas into the sustainable products of the future. From chips to entire systems, from product to process, across all industries. Siemens Digital Industries Software – Accelerating transformation.

The fix works… until next month.

Downtime starts showing up across lines or plants.

You already know RCA matters. The challenge is getting to a root cause that actually prevents the next failure.

“5 Steps to Completing a Successful Root Cause Analysis” provides a clear step-by-step approach to eliminate recurring problems for good, whether they stem from equipment, materials, process gaps or maintenance breakdowns.

You’ll learn how to:

• Pinpoint true root causes faster using Fishbone, 5 Whys and Pareto analysis.
• Prioritize the failures driving the most downtime, warranty claims and production loss.
• Turn findings into corrective actions that prevent repeat failures long-term.

With 73% of organizations experiencing a recall in the last five years, repeat issues aren’t rare. They’re costly.

For decades, Foxboro DCS has served as the “brain” of industrial operations, enabling real-time control and coordination of complex processes. But today’s landscape demands more – greater agility, fewer costly upgrades, and simplified compliance. EcoStruxure Foxboro SDA delivers exactly that: flexibility, scalability, and cost efficiency without sacrificing reliability.

The importance of open industrial systems was highlighted in Schneider Electric’s recent global research report with Omdia, which uncovered closed systems cost mid-sized industrial companies 7.5% of revenue through downtime, inefficiencies, and compliance retrofits every year.

“EcoStruxure Foxboro SDA marks a defining moment for industrial automation,” said Hany Fouda, Senior Vice President, Process Automation, Schneider Electric. “By embracing openness and software-defined architecture, we’re giving our customers the agility to modernize without compromise, protecting their investments while unlocking future-ready capabilities. This evolution is a strategic enabler for digital transformation, and Schneider Electric is proud to lead it.”

Developed by listening to real customer challenges; aging systems, rising costs, and the need to do more with less, Foxboro SDA decouples hardware from software to protect existing investments and enable a smooth, lower-risk modernization path. The result is simpler workflows, faster insights, and sustainable performance gains.

Key Features

• Open, Software-Defined Architecture: Foxboro SDA decouples software from hardware to deliver vendor independence and interoperability, enabling flexible, scalable architectures that simplify
• Cybersecure & Future-Ready: Foxboro SDA is built with secure-by-design principles and IEC 62443-3-3 compliance, delivering a future-ready platform that enables IT/OT convergence, AI/ML integration, and autonomous operations for Industry 4.0 and energy transition.
• Simplify Operations & Reduce Costs: Customers can lower CapEx and OpEx, streamline deployment with intuitive tools, and minimizes downtime by avoiding obsolescence and enabling predictive maintenance.

As the first software-defined distributed control system, Foxboro SDA is a validated, software-defined automation architecture for distributed control systems powered by EcoStruxure Automation Expert (EAE). It enables interoperability, rapid deployment, and fit-for-purpose configurations while maintaining high availability. The system ensures digital continuity by keeping data connected and consistent throughout the plant lifecycle—from design to production to maintenance. This enables automated workflows, better product quality, and easy integration with analytics for smarter, real-time business decisions.

Customers benefit from a future-ready upgrade path, built-in cybersecurity, and simplified operations that support IT/OT convergence and advanced technologies like AI and machine learning. Foxboro SDA provides our customers with a control solution that is unbound by hardware, engineered for agility and empowered by data. It’s more than a system – Foxboro SDA is a strategic enabler for digital transformation.

“The launch of EcoStruxure Foxboro SDA marks a major milestone in the evolution of process automation,” said Craig Resnick, Vice President at ARC Advisory Group. “By decoupling control logic from hardware, Schneider Electric is providing manufacturers with the agility to scale, adapt, and simplify their operations. This software defined approach helps to reduce maintenance costs, protect legacy automation investments, and ensure digital continuity throughout the entire plant lifecycle. With cybersecurity built into its core, and a commitment to open, interoperable standards, Foxboro SDA enables manufacturers to modernize at their own pace, accelerate IT and OT convergence, and increase their adoption of next generation technologies, such as AI, edge computing, and autonomous operations.”

About Schneider Electric

Schneider Electric is a global energy technology leader, driving efficiency and sustainability by electrifying, automating, and digitalizing industries, businesses, and homes. Its technologies enable buildings, data centers, factories, infrastructure, and grids to operate as open, interconnected ecosystems, enhancing performance, resilience, and sustainability. The portfolio includes intelligent devices, software-defined architectures, AI-powered systems, digital services, and expert advisory. With 160,000 employees and 1 million partners in over 100 countries, Schneider Electric is consistently ranked among the world’s most sustainable companies.

Digitalization is now the key to competitiveness; and the comprehensive Digital Twin combined with digital threads are the foundation of digitalization, connecting every stage of a product’s lifecycle, from concept to manufacturing, into a single source of truth. Additionally, digital threads unify processes and systems, enabling seamless collaboration across departments and promoting the integration of new technologies.

AI and the comprehensive Digital Twin: democratizing digital transformation

The dynamic shift in industrial machinery—driven by the integration of AI across design, operations and supply chains—will continue to disrupt the sector for years to come. Accessibility is key as AI capabilities accelerate, and enterprises of all sizes look to modernize their systems and processes. Updating business processes may initially seem intimidating for SMBs and brownfields, but there are solutions that ease access to automation and AI processes which are growing increasingly important as talent gaps continue to widen.

Large language models (LLMs), for example, have been empowering workers to dabble with AI. Only last year, many manufacturers began deploying LLMs to fill in knowledge gaps and bridge human and machine operations. Starting with these simple tools gives designers and engineers time to adapt to new solutions so that the company can determine their specific AI needs and build from there. Incrementally leveraging AI-infused solutions that address engineering and manufacturing needs will ultimately simplify the adoption of more complex and powerful solutions on the horizon.

Once a company knows where and when to include AI in its operations by identifying value use cases, it can begin training in-house AI models. At this point, machine builders, for example, can fully integrate generative AI and agents into their processes to create new engineering and manufacturing content and even automate complex workflows.

Achieving a more automated factory that is ready to face a volatile landscape starts with a plan. To create a solid plan, OEMs should look to the Digital Twin for virtual commissioning. It is crucial to test how and where certain processes will work before integrating new machines or processes into more traditional workflows. The Digital Twin of the factory creates an accurate, real-time virtual representation of their factory that is accessible for workers across teams and disciplines.

Harmonizing humans, robots, and automation through digitalization

Digitalization does not always mean scrapping old, reliable equipment and replacing it with new machinery. Many OEMs have seen ROI from integrating collaborative robots (cobots), or robots that aid human workers during production. Cobots enable seamless integration between automated and manual systems, allowing machine builders to put them where they are needed without upending processes that work for them. Leveraging cobots, a brownfield environment can quickly evaluate how to upgrade operations and become a state-of-the-art facility.

A factory that has fully integrated the Digital Twin can also implement AI in tandem to supercharge operations. Machine builders can create immersive settings that perfectly imitate physical factories and production lines to accelerate robot training and programming. In this virtual classroom, robots can practice tasks, address common challenges and develop problem-solving skills in just hours, rather than months or even years.

Digital Twin and AI capabilities further lay the groundwork for budding technologies such as humanoid robots. Humanoids are poised to shake up the industrial manufacturing space and will likely enter the factory floor within the next few years. As a result, virtual commissioning powered by the Digital Twin will become even more important. Virtual commissioning will be at the heart of harmonious operations between humans, cobots, smart robots and humanoids; enabling the factory to forecast human interactions with automated systems and equipment.

The pivot from hardware to software

With the rapid advancements in technology, industrial manufacturing is under pressure to tackle skill shortages, unpredictable supply chains, and increasing demand for more resource-efficient and sustainable production. Autonomous operations help machine builders address current challenges and position them to tackle future ones. As part of this shift, automation is transitioning from hardware-based devices to software-defined functionalities. Software-defined automation (SDA) combines information technology (IT) flexibility with operational technology (OT) robustness.

Now, instead of relying on fixed hardware for functionality, SDA uses software to control, enhance and update features, making it more adaptable and scalable. Brownfields, for example, can take special advantage of SDA because it enables connection between legacy equipment and systems to more modern data-driven services and applications. Once these machines are connected, older factories can begin to craft their own digital thread and move towards greater automation and accelerated operations.

Journey, not destination

Industrial machinery is entering its next golden age. Success in 2026 will hinge on the industry’s ability to stay afloat as the AI revolution keeps or even accelerates its momentum. For machine, equipment and component manufacturers, the digital enterprise model represents a transformative approach where every aspect of the business is interconnected through data, automation and real-time insights.

By integrating the Digital Twin and leveraging AI, organizations can move beyond outdated, fragmented systems and build flexible frameworks that address both current and future challenges. As more companies adopt this approach, it has become clear that embracing digital transformation is imperative to ensuring sustained agility and long-term success in this new age of manufacturing.

About the author:

Rahul Garg is Vice President for Industrial Machinery Vertical Software Strategy at Siemens Digital Industries Software.

As a customer-centric leader, one of his great joys is helping simplify complex problems for customers and enabling success by delivering powerful, effective solutions that support small and mid-sized businesses.

Throughout his career, having worked at three start-ups and now a large enterprise, Rahul has worked closely with SMBs and in technology-led industries to overcome key challenges and drive revenue growth with strategic solutions, smarter services and better business practices.

The acquisition was financed by Gary Griffiths, co-founder and Managing Director of WISDOM LLP, who formed Vector GFX to bring long-term focus, stability, and renewed investment to one of the most established technical illustration platforms on the market. Griffiths will serve as Chairman of the Board for the new entity.

Joining the leadership team is Rebecca (Becky) Darsch, a co-founder of Vector GFX, who is running all commercial operations. Vector GFX is led by a founding team with deep operational and product expertise rooted in the history of Canvas X Draw. The company expects to share further announcements regarding the expansion of its team throughout the coming months.

“Vector GFX was formed to ensure that Canvas X Draw continues to thrive as a standalone powerhouse,” said Griffiths. “By combining our deep roots in the product’s history with fresh investment, we are providing the stability our users and partners rely on.”

Headquartered in Carver, Massachusetts, Vector GFX is expanding the Canvas X Draw roadmap with immediate priorities that include performance improvements, user experience modernization, and continued innovation for technical illustration professionals.

About Vector GFX

Vector GFX is a software company based in Carver, Massachusetts, specializing in high-performance technical illustration tools. Founded by industry veterans, the company owns and operates Canvas X Draw, delivering precision-grade software solutions to professionals across aerospace, defense, engineering, and manufacturing.

Siemens has been recognized as a leader in the Green Quadrant: Quality Management Software 2025 report by independent research and advisory firm, Verdantix, finding that Siemens “delivers best-in-class quality management through its well-rounded QMS platform.” The report provides ‘a detailed, fact-based benchmark of 14 of the most prominent quality management software (QMS) providers in the market.’

Siemens’ Quality Management Software (QMS) offering is available as either Teamcenter® Quality software or Opcenter Quality software, connects design, manufacturing and operations, to enhance traceability, standardize workflows and support continuous improvement across regulated industries.

Delivered as part of the Siemens Xcelerator portfolio of industry software, Siemens’ QMS capabilities connects Siemens’ comprehensive digital twin technologies including product lifecycle (PLM), manufacturing execution software (MES) and industrial internet of things (IIoT) to advance and elevate every stage of the quality management lifecycle.

“The recognition of Siemens as a leader in the Verdantix Green Quadrant for Quality Management Software 2025, we believe, underscores Siemens’ commitment to delivering measurable value for our customers. By integrating advanced AI throughout our comprehensive quality management offering, we are enabling organizations to transform data into actionable insights, streamline operations and achieve continuous improvement,” said Volker Albrecht, chief executive officer of Siemens Digital Logistics and business line head in Digital Manufacturing, Siemens Digital Industries Software. “We’re focused on making quality management smarter, faster, and more reliable, solving practical everyday challenges for quality professionals. Our approach empowers manufacturers to enhance application of quality best practices, standardize workflows from design to manufacturing and drive excellence across every stage of the quality lifecycle.”

“As the scope of QMS expands beyond traditionally regulated sectors into a broader range of industrial and operational environments, organizations are relying on digital tools to strengthen their capabilities and embed quality management into strategic decision-making,” said April Choy, Industry Analyst at Verdantix. “With its storied heritage across a multitude of verticals, platforms such as Siemens’ address key pain points in quality workflows and turn data into actionable insights.”

About Siemens Digital Industries Software

Siemens Digital Industries Software helps organizations of all sizes digitally transform using software, hardware and services from the Siemens Xcelerator business platform. Siemens’ software and the comprehensive digital twin enable companies to optimize their design, engineering and manufacturing processes to turn today’s ideas into the sustainable products of the future. From chips to entire systems, from product to process, across all industries. Siemens Digital Industries Software – Accelerating transformation.

Siemens today announced Digital Twin Composer, a new software solution that builds Industrial Metaverse environments at scale, empowering organizations to apply industrial AI, simulation and real-time physical data to make decisions virtually, at speed and at scale.

Digital Twin Composer enables industrial companies to combine 2D and 3D digital twin data from Siemens’ comprehensive digital twin with physical real-time information in a managed, secure real-time photorealistic visual scene, built using NVIDIA Omniverse libraries. With Digital Twin Composer, companies can rapidly build and maintain this global environment, containing all aspects of their product or production data (both virtual and physical) in a secure, managed high-fidelity 3D experience, throughout the lifecycle of the product, process or facility.

Digital Twin Composer provides contextualized, real-time insights and intelligence enabling companies to visualize, interact with and iterate on any product, process or factory in its real-world context before physical design or construction – whether it’s a new smartphone, a tanker in a shipyard, an autonomous electric vehicle, or a new AI factory on a greenfield or brownfield site.

PepsiCo and Siemens are digitally transforming select U.S. manufacturing and warehouse facilities by converting them into high-fidelity 3D digital twins that simulate plant operations and the end-to-end supply chain to establish a performance baseline. Within weeks, teams optimized and validated new configurations to boost capacity and throughput, giving PepsiCo a unified, real-time view of operations with flexibility to integrate AI-driven capabilities over time.

Leveraging Siemens’ Digital Twin Composer, NVIDIA Omniverse and computer vision, PepsiCo can now recreate every machine, conveyor, pallet route and operator path with physics-level accuracy, enabling AI agents to simulate, test and refine system changes – identifying up to 90 percent of potential issues before any physical modifications occur. This approach has already delivered a 20 percent increase in throughput on initial deployment and is driving faster design cycles, nearly 100 percent design validation and 10 to 15 percent reductions in capital expenditure (Capex) by uncovering hidden capacity and validating investments in a virtual environment.

Many design, engineering and production teams still work independently, each relying on different tools and disconnected data systems. Digital Twin Composer reduces these barriers by unifying design, simulation and operations into one living and contextualized model that empowers engineers to test products, processes and facilities in minutes, validate automation long before hardware exists and operate the real product or facility from one digital twin.

“The new Digital Twin Composer delivers on our vision for the industrial metaverse. It helps manufacturers to overcome the unprecedented challenges of mastering complexity, accelerating production, reducing costs and increasing profitability,” said Joe Bohman, executive vice president, PLM Products, Siemens Digital Industries Software. “Siemens and NVIDIA are partnering to help manufacturers bring the most complex products, processes and factories online faster, boost resiliency and sustainability, and continuously optimize performance.”

“In an era where every physical object and process will have a digital twin, Siemens’ Digital Twin Composer establishes a digital thread that connects the silos of design, engineering, and operations across the Siemens Xcelerator ecosystem,” said Rev Lebaredian, vice president of Omniverse and Simulation Technology, NVIDIA. “By integrating NVIDIA Omniverse libraries into Digital Twin Composer, enterprises can take advantage of physically accurate simulation across their workflows to validate their entire lifecycle – from product design to factory logistics – in the virtual world before committing a single atom to the real one.”

Digital Twin Composer is part of Siemens Xcelerator, an industry proven portfolio of software used by companies worldwide to develop digital twins that empower them to design, simulate and prepare their products, process and factories at speed and scale. Digital Twin Composer is used to connect the high performance, photorealistic and physically accurate 3D digital twin created using Siemens Xcelerator to real-world physical data sources as such manufacturing execution software (MES), quality management systems (QMS), programmable logic controller (PLC) code from a machine or factory asset or industrial internet of things (IIoT) data – from across an open ecosystem of engineering data. Further insights can be realized through integration with Siemens’ industry-leading data science and AI software, Rapidminer and other AI solutions to deliver virtual world intelligence and real time insights to make decisions in confidence.

Launched at CES 2026, Siemens’ Digital Twin Composer is currently in early access with select customers.

About Siemens Digital Industries Software

Siemens Digital Industries Software helps organizations of all sizes digitally transform using software, hardware and services from the Siemens Xcelerator business platform. Siemens’ software and the comprehensive digital twin enable companies to optimize their design, engineering and manufacturing processes to turn today’s ideas into the sustainable products of the future. From chips to entire systems, from product to process, across all industries. Siemens Digital Industries Software – Accelerating transformation.

About Siemens Digital Industries (DI)

Siemens Digital Industries (DI) empowers companies of all sizes within the process and discrete manufacturing industries to accelerate their digital and sustainability transformation across the entire value chain. Siemens’ cutting-edge automation and software portfolio revolutionizes the design, realization and optimization of products and production. And with Siemens Xcelerator – the open digital business platform – this process is made even easier, faster, and scalable. Together with our partners and ecosystem, Siemens Digital Industries enables customers to become a sustainable Digital Enterprise. Siemens Digital Industries has a workforce of around 70,000 people worldwide.

About Siemens AG (Berlin and Munich)

Siemens AG (Berlin and Munich) is a leading technology company focused on industry, infrastructure, mobility, and healthcare. The company’s purpose is to create technology to transform the everyday, for everyone. By combining the real and the digital worlds, Siemens empowers customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more livable, and transportation more sustainable. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

In fiscal 2025, which ended on September 30, 2025, the Siemens Group generated revenue of €78.9 billion and net income of €10.4 billion. As of September 30, 2025, the company employed around 318,000 people worldwide on the basis of continuing operations.