UDMTEK (CEO Wang Jinam, 389680), a company specializing in AI solutions for automated systems, announced on the 23rd that it has signed a contract to develop a digital twin with a global advanced manufacturing company.
This agreement is a strategic partnership that combines UDMTEK's control data-based AI technology with the production operation expertise of a global manufacturing company. It is significant as a key turning point in the digitalization of smart manufacturing. By virtualizing and intelligentizing production facilities through digital twin technology, we anticipate presenting a new paradigm for manufacturing innovation, encompassing virtual commissioning, anomaly detection, predictive maintenance, process optimization, and quality innovation. Following initial implementation and validation, we anticipate a gradual rollout across the entire production line.
Digital Twin is a technology that precisely replicates real-world physical assets and systems in a virtual space. It enables simulation, real-time monitoring, and optimization of virtual models based on data collected from actual sites. This technology is being utilized in diverse fields, including smart manufacturing, energy, plants, shipbuilding, urban planning, and healthcare. It contributes to problem prediction, cost reduction, productivity improvement, and safety assurance, and is emerging as a core element of digital innovation.
Manufacturing industries around the world are rapidly adopting digital twin technology to pre-validate production lines and maximize operational efficiency by utilizing virtual spaces before facility construction. Leading global companies such as Siemens in Germany, Mitsubishi in Japan, Rockwell in the US, and NVIDIA in the US are combining 3D simulation and AI to achieve shorter production cycles and reduced costs. However, the lack of organic linkages between complex 3D modeling, post-process improvement, anomaly detection, and predictive maintenance still limits rapid on-site adoption and overall process optimization. Nevertheless, the global digital twin market is expected to grow rapidly by approximately 33% annually, with the domestic market growing by approximately 23.5%, and the market is expected to expand rapidly by 2030.
Additionally, a company official explained, “Many global companies are introducing AI-based digital twins and attempting complex analysis to improve facility operation and conduct more precise and multifaceted digital data analysis in the field of predictive maintenance, but there have been limitations in providing detailed cause analysis of the results.” He added, “UDMTEK is significant in that it has overcome this limitation.”
Through this next-generation digital twin development collaboration, UDMTEK anticipates that the technology will be applied to production lines at global manufacturing companies, demonstrating its reliability and scalability internationally. Building on this momentum, UDMTEK plans to secure sales growth momentum through overseas PoC expansion and licensing.
UDMTEK's digital twin solution precisely embodies complex manufacturing processes in a digital environment, maximizing the efficiency of corporate facility investment and dramatically reducing operational risk. In particular, it is expected to emerge as a practical solution to structural challenges facing the manufacturing industry, such as high labor costs, an aging workforce, aging equipment, and a shortage of skilled workers, contributing to enhancing the overall competitiveness of the industry.
Wang Jinam, CEO of UDMTEK, said, “This digital twin collaboration with a global manufacturing company is not a simple technology contract, but an opportunity for UDMTEK to prove its technological competitiveness in the global manufacturing field, and a strategic momentum that will simultaneously secure two results: sales growth and enhanced corporate value.” He added, “We will continue to expand global collaborations and leap forward as a specialized company in the field of AI-based digital twin and smart manufacturing solutions.”