Light Dark Contact

Smart IndustryEngineering meets Artificial Intelligence

At thyssenkrupp, digitalization is an integral part of our engineering. By connecting data, industrial assets and processes across the entire value chain, we create the foundation for artificial intelligence, digital twins and data-driven optimization.
Industrial robot operating autonomously in a modern production facility at thyssenkrupp.

Digital solutions for a connected industry

Smart Industry at thyssenkrupp combines industrial expertise with digital technologies where production meets data, software and artificial intelligence. Digitalization is transforming the way we design, plan and operate industrial facilities. Digital twins create virtual representations of plants, enabling processes to be simulated and optimized before construction even begins. Artificial intelligence analyzes large volumes of data, identifies patterns and supports informed decision-making. Predictive maintenance uses these insights to detect maintenance needs at an early stage and help prevent unplanned downtime.

Instead of a single product, Smart Industry is an integrated approach that combines connected processes, digital data and intelligent engineering methods. This creates greater transparency, more stable operations, higher quality and increased flexibility for customers and partners.

Smart Industry in practice

Digitalization is changing the way we develop, plan, and manufacture — and has long since become an integral part of modern engineering. Here, you’ll learn how and where.

Digital transformation in plant engineering

Digital transformation in plant engineering is a multifunctional task. Dr. Tobias Rabsahl gives an insight into his varied day-to-day work.
The pacemaker.ai logo above a digitally connected Earth. The image symbolizes the use of AI and data analysis to optimize global supply chains and make sustainability data transparent.

Future-proof supply chains through artificial intelligence

Optimized supply chains thanks to artificial intelligence: thyssenkrupp's very own pacemaker® uses machine learning and data science to make supply chains more sustainable and cost-efficient.
A blue-and-white thyssenkrupp truck at an industrial site, reflected in a large puddle under a bright blue sky.

Industrial Internet of Things: Transparency in materials trading

For tk accelis, digitalization is the most powerful lever for making its business more efficient. Its proprietary IIoT technology, toii®, uses real-time data to create greater transparency.
A specialist from thyssenkrupp Steel analyzes a digital visualization of steel production on a monitor.

Digital transformation in steel production: AI for greater transparency

thyssenkrupp Steel prioritizes stability, plant availability, and quality in production – and to ensure these are future-proof, we have been continuously implementing digitalization projects for years. While steel remains a physical product, digital technologies in production and marketing play a key role. For example, thyssenkrupp Steel collects and analyzes data points in real time across locations and facilities along the value chain.

This creates transparency: Customers can track their orders and gain insights into production. Data analysis helps predict material properties more precisely and define tolerances more accurately. And because we can draw on a data history spanning up to 15 years, this provides the foundation for developing and training new AI models – with significant impact even from small, detailed improvements.

Aerial view of the thyssenkrupp Steel plant at sunset, showing industrial facilities, railroad tracks, and green spaces.

Achieving greater sustainability through digitalization

Digitization at thyssenkrupp Steel functions as a tool for sustainability, for example with the Steel Sustainability Navigator (SSN) serving as a central database for energy and ESG information. When material, substance, and energy flows are seamlessly tracked via sensors and meters and consolidated in one place, resource-efficient operating modes can be derived – or the carbon footprint of the most recently produced coils can be determined. Data analysis also helps verify whether climate protection measures are achieving the expected CO2 reductions. This makes transparency regarding CO2 emissions along the value chain a decisive factor – including in the context of future reporting requirements.

Chemical plant featuring digital dashboards and sensor data from thyssenkrupp Uhde.

Plant engineering in transition: Digital infrastructure at thyssenkrupp Uhde

In our plant engineering business, smart industry is transforming processes and offerings. thyssenkrupp Uhde is driving the digital transformation in plant engineering – from evaluating new ideas to initiating and managing development projects.

One example is “pay-per-use” models: Customers pay only for those units actually used or produced. For such models to be possible, a fully digitized plant is required – including remote operation within contractual parameters.

Specifically, digital infrastructures are built that enable online dashboards and regular performance reports. Sensor data is also transmitted to the thyssenkrupp Uhde Cloud. Based on this, thyssenkrupp Uhde develops digital services to optimize plant operations with the goal of improving profitability and reducing emissions. With those solutions, thyssenkrupp Uhde is transforming today’s plant engineering for tomorrow’s chemical production.

A production line with rotating rollers as an example of connection via toii by tk accelis.

toii® connects machines from multiple manufacturers

Automation, digital connectivity, and the resulting optimizations are unlocking entirely new efficiency potential in the industrial sector: namely the Industrial Internet of Things and the era of Industry 4.0. With its toii® technology, tk accelis offers its customers a path into this very era.

As a holistic integration platform, toii® connects production facilities and machines from different manufacturers and across various technologies – enabling them to communicate in real time. This provides continuous insights into process flows, production status, and machine utilization. Modules handle tasks ranging from data acquisition to machine control and visualization: every step becomes more transparent, and processes can be optimized based on facts.

 

Press releases on Smart Industry

thyssenkrupp and GlobalLogic forge strategic alliance to accelerate industrial transformation through Physical AI

Jun 25, 2026thyssenkrupp and GlobalLogic forge strategic alliance to accelerate industrial transformation through Physical AI

thyssenkrupp Materials Services is now called tk accelis

Jun 10, 2026thyssenkrupp Materials Services is now called tk accelis

thyssenkrupp Automotive Body Solutions joins IPAI innovation platform to accelerate development of smart manufacturing solutions

Feb 26, 2026thyssenkrupp Automotive Body Solutions joins IPAI innovation platform to accelerate development of smart manufacturing solutions