The global tyre industry is in the midst of its greatest upheaval since the pneumatic tyre – driven by rapid digital transformation. Siemens, the German global technology company, is leading this revolution, quietly redefining how tyres are designed, manufactured and maintained worldwide.

In a sprawling industrial complex outside Nuremberg, Peter Haan, Head of Global VM Tire, Siemens, brings the enthusiasm of someone who has witnessed an industry’s complete metamorphosis to the oversight of Siemens’ global tyre operations. Recently, Haan outlined the company’s comprehensive strategy for modernising tyre production – addressing the price-sensitive manufacturers of Asia as well as the sustainability-focused plants of Europe.

“Digital transformation didn’t start yesterday, and it didn’t even start during the pandemic,” Haan explains, dispelling common misconceptions about the industry’s technological evolution. “We’ve been working on this for more than 10 years now. We had digital twins a decade ago, which might surprise people who think this is cutting-edge technology.”

The Industrial Metaverse Revolution

The foundation of Siemens’ approach lies in what Haan calls ‘digitalisation for design’ – the creation of what the company now terms the industrial metaverse. This comprehensive digital simulation integrates machines, programmes and entire production processes. It represents years of focused development and has achieved what Haan considers ‘very good status with our integrated approach’.

Haan’s descriptions of recent projects clarify these implications. “We are just building a new plant in Singapore and expanding an existing plant in Germany” he reports. Due to confidentiality agreements, he cannot display the complete digital representation on his computer. Instead of seeing only lines and geometric shapes that require imagination to translate into real machines, one can now observe photorealistic models: virtual people moving, machinery operating and materials progressing through the production process.

This industrial metaverse requires immense computing power, necessitating a close partnership between Siemens and Nvidia. While most consumers know Nvidia for its gaming graphics cards, the company also produces high-end simulation capabilities that enable Siemens and Siemens customers to run simulations in real time with an absolute realistic look and feel.

A second key pillar is digitalisation for operations, achieved through advanced planning and scheduling systems. Tyre manufacturing today exists in a dynamic environment, where customer demands can change daily, a stark contrast to the older, more predictable monthly or quarterly cycles.

“Today, a customer might want to capture one market segment. Tomorrow, they might pivot to electric vehicle tyres. Next week, they could have entirely different ideas based on market conditions,” Haan explains. “Traditional planning systems simply cannot handle this level of flexibility.”

The solution involves Manufacturing Operations Management (MOM) systems that provide immediate responsiveness to market changes. Siemens has successfully implemented this approach across multiple regions, including a completely new greenfield facility in Chennai, which was designed from the ground up using digital operations principles.

Modernising Legacy Infrastructure

The process of implementing digitalisation becomes more challenging when accounting for the hundreds of tyre manufacturing plants worldwide, many of which are equipped with machinery that has decades of operational history. Nevertheless, Siemens has crafted a methodical approach to address these ageing systems.

“This is actually easier to answer than most people expect, though the implementation requires careful planning,” Haan notes. The process begins with laser scanning systems that create high-precision three-dimensional digital representations of entire facilities, mapping every machine location, material flow and worker movement pattern.

This laser-generated data becomes the foundation for plant simulation software that models current operations. “The next crucial step is comparing our simulation results with actual reality to ensure accuracy,” Haan explains. “Initially, no improvement is achieved – we’re simply creating a digital mirror of existing operations.”

Once accurate digital representations exist, optimisation can begin in the virtual environment first. Companies can simulate workflow changes, test automated guided vehicle implementations and identify bottlenecks without disrupting actual production.

To add intelligence to existing machinery, Siemens utilises edge computing devices. “Our SIMATIC IPC127E, for instance, can connect to all existing automation systems, even equipment that’s 30 years old,” Haan says. “We can interface with legacy automations systems from Siemens and any supplier, thus adding intelligence to old machines”

The retrofit approach varies based on existing capabilities. Some situations require minimal hardware changes, while others demand comprehensive replacements of the automation system. “If you have a state-of-the-art automation system, you might need no new hardware at all – just download additional functionality,” Haan explains.

Digital Twins And Real-Time Optimisation

The concept of digital twins running parallel to actual production represents one of Siemens’ most sophisticated technological achievements. These systems utilise edge computing to operate what Haan calls ‘live twins’ that mirror physical machine behaviour in real-time.

Tyre curing provides a compelling example of this technology’s potential. “The temperature inside the bladder during the curing process is challenging to measure directly, especially with traditional rubber bladders,” Haan explains. “But with our digital twin technology, we have virtual sensors so sophisticated that you can specify any point in the bladder, and our system can compute and calculate the exact temperature at that location.”

This capability bridges the gap between simulation and the real world, providing measurement data that is unobtainable through physical sensors. The digital twin processes information such as product geometry, material compression due to steam or water and flow directions influenced by the physical layout. With this, precise optimisation of curing parameters becomes achievable.

“The simulation can then influence real curing behaviour, making the process more accurate and potentially reducing curing time,” Haan notes. For electric curing systems, this precision enables targeted heating adjustments, such as applying additional heat to tyre edges while maintaining optimal internal temperatures.

Regional Market Dynamics

The global tyre industry’s digital transformation unfolds differently across regions, requiring distinct strategies tailored to local market conditions and regulatory environments. These differences significantly impact how Siemens approaches each market.

In China and the broader Asia-Pacific region, price sensitivity dominates decision-making processes. “Customers are extremely price-sensitive, focusing primarily on capital expenditure (CAPEX). Operational expenditure (OPEX) considerations often aren’t in scope initially,” Haan explains. “We have to continually focus about lifecycle costs versus initial purchase prices.”

This dynamic creates challenges for Siemens’ solutions. When comparing automated guided vehicles, for example, Chinese manufacturers often prefer locally-produced systems based on proprietary electronics that appear cheaper initially. Siemens takes a different approach, building AGVs exclusively with industrial automation components – standard PLCs, drives, motors and HMIs.

“Initially, our solution costs more compared to a proprietary electronics-based AGV – we simply cannot compete on initial price with local suppliers,” Haan acknowledges. “However, when you consider lifecycle costs, our approach becomes significantly less expensive.”

The advantage becomes apparent during maintenance scenarios. When a motor fails in a Siemens system, customers can replace it with standard components they likely maintain in inventory for other machinery. Proprietary systems require specific spare parts from original manufacturers, assuming availability and reasonable delivery times.

European Cybersecurity And Workforce Challenges

Europe presents entirely different challenges, beginning with the Cyber Resilience Act (CRA) that will fundamentally reshape the automation landscape starting in 2026. This legislation mandates that all industrial automation products meet specific cybersecurity requirements, with significant implications for existing equipment.

“The European Commission has decided that industrial production and critical infrastructure must be secured against cyber-attacks,” Haan explains. “Given that Europe is effectively at war and cyber attacks are a daily occurrence, this is not just theoretical.”

Siemens is proactively addressing this transition by working with customers to review their equipment bills of materials and provide updated specifications for compliant replacements. This affects both new installations and retrofits, as any significant upgrade must meet new security requirements.

Europe also faces demographic challenges that influence automation requirements. “We have an ageing society with fewer people than countries like India or China, and we’re experiencing a shortage of experienced workers and technical experts,” Haan explains. “This means our products must be simple to use, and machines of our customers must be operated simply.”

European manufacturers also demand continuous operation capabilities. “24/7/365 operation – production cannot be interrupted by unexpected downtime. Predictive maintenance isn’t just nice to have; it’s urgently necessary,” Haan emphasises. “When we work with major German tyre manufacturers, predictive maintenance is included from the beginning. If anyone offered a mixing line without predictive maintenance, they wouldn’t even be considered.”

Artificial Intelligence In Manufacturing

The application of artificial intelligence (AI) in tyre manufacturing has moved from experimental to essential, particularly in areas traditionally requiring human intervention. Visual inspection represents the most obvious opportunity for AI implementation.

“Even in highly automated plants – and I’ve visited completely automated facilities that are quite impressive – you still typically see 20 people doing visual inspection of finished tyres,” Haan observes. “But here’s the fundamental problem: after inspecting 100 tyres, human consistency inevitably declines. We’re not machines – our attention wavers, we get tired, we make mistakes.”

Siemens is collaborating with companies to develop AI-powered inspection systems that integrate high-quality optical equipment with sophisticated pattern recognition algorithms. “The AI must determine whether there’s a fault, what type of fault it is – is it a bubble, is it incorrect wire placement, is it a surface imperfection?” Haan explains.

When discussing accuracy expectations with plant managers, Haan maintains realistic perspectives. “When asked whether the machine recognises 100 percent of failures, I’m honest – no, not 100 percent. But I can say that it recognises defects more accurately and consistently than human beings.”

AI applications extend beyond inspection into production processes themselves. In curing operations, Siemens utilises AI through digital twin technology that operates in parallel with physical equipment. “We measure all incoming variables – electric power consumption, steam pressure, external temperature, internal conditions – and feed this information to our digital life twin running on edge computing devices,” Haan explains.

Using computational fluid dynamics simulations, the system accurately understands how heat behaves throughout the curing process. Real-time comparison between simulation predictions and actual conditions enables continuous optimisation. “For electric curing systems, we can even create different temperature zones – applying more heat to tyre edges while maintaining optimal internal temperatures.,” says Haan.

Sustainability Beyond Green Materials

Sustainability in tyre manufacturing encompasses far more than renewable raw materials, extending through entire product lifecycles from manufacturing to end-of-life processing. Siemens has developed comprehensive approaches to address these challenges.

The company’s ‘SiGREEN’ system calculates complete product-related carbon footprints using standardised communication protocols that include all supplier contributions. “Most companies, when asked about the carbon footprint of a specific tyre, can’t provide accurate data,” Haan notes. “Approximately three-quarters of a tyre’s carbon footprint doesn’t come from the manufacturing plant. It comes from purchased materials and the energy used to produce them.”

This complexity requires sophisticated tracking capabilities. “These complex calculations change dynamically as supply chains shift towards geographically closer sourcing locations,” Haan explains. “Our system links to the bill of materials for each product, tracking exactly what compounds are used in tyre treads versus sidewalls and maintaining complete supply chain traceability.”

This transparency is becoming crucial for business relationships. “Previously, negotiations between tyre manufacturers and automotive companies focused primarily on price. Now we have a new critical component: carbon footprint,” Haan says. Automotive manufacturers face government-mandated carbon limits with significant penalties for non-compliance, making tyre carbon footprints a competitive differentiator.

Tyre recycling represents another sustainability frontier where Siemens provides technological solutions. The company collaborates with several organisations that are advancing pyrolysis technology for tyre breakdown, including joint ventures involving major tyre manufacturers that utilise our completely web-based process control system SIMATIC PCS neo.

“Pyrolysis plants are sophisticated chemical operations requiring precise parameter control,” Haan explains. “You cannot simply shut down a pyrolysis plant during lunch breaks like some other manufacturing processes. These systems require continuous operation with carefully managed temperature, pressure and material feed rates.”

Siemens also supports ultra-high-pressure water jet technology for tyre breakdown, which uses high-pressure water streams to separate tyre components for direct reuse. “This technology requires precise PLC control to manage water pressure, flow rates and separation processes,” Haan notes.

Innovative Equipment Design

Siemens has identified fundamental inefficiencies in traditional tyre manufacturing equipment and developed innovative solutions to address them. Curing presses exemplify this approach effectively.

Standard curing presses typically feature large HMI screens for operator interaction, but actual utilisation analysis reveals these expensive displays are used less than five percent of operating time. “These screens are costly to build and maintain, especially in curing environments with high temperatures and corrosive gases that damage electronic displays. Yet they sit unused most of the time,” Haan explains.

Siemens’ solution eliminates local HMI screens entirely, replacing them with mobile devices, such as tablets, connected to centralised SCADA systems running WinCC software. Haan says, “All screens for all curing presses across a plant are hosted on centralised servers. When an operator needs to interact with a specific curing press, they log into that machine through their mobile device,” says Haan.

This approach provides identical functionality while dramatically reducing costs and improving reliability. “If a plant has 10 operators, providing 10 tablets costs far less than installing individual screens at each curing press. The mobile devices also have much higher utilisation rates and can be used anywhere in the facility,” adds Haan. Electrical curing technology represents another significant innovation thanks to Siemens’ modular ‘e-Starter’ systems, which control heating circuits in electric curing presses. The modular design accommodates various press configurations while providing automatic protection against electrical faults commonly found in high-temperature environments.

“In steel moulds at high temperatures, insulation can fail, creating dangerous grounding or short circuit conditions. Our system recognises these automatically and sends immediate alerts to operators,” Haan explains. The flexibility allows manufacturers to configure systems precisely for their needs, whether they require eight heating segments or 20 or more.

Advanced Fleet Management

Material handling and logistics automation have evolved significantly. Siemens’ offerings include SIMOVE AGV technology along with comprehensive fleet management solutions, featuring free navigation capabilities that offer greater operational flexibility compared to traditional guided vehicle systems.

The company’s unique approach to AGV fleet management centres on the SIMOVE platform and fleet manager software. “We use only industrial automation components in our AGVs – standard PLCs, drives, motors and HMIs that customers already understand and maintain,” Haan explains.

The fleet management system supports VDA 5050, a standardised communication protocol enabling AGVs from different manufacturers to communicate with each other and central management systems. “Think of it like Profinet for industrial automation – a common communication standard,” Haan says.

Siemens can integrate proprietary protocols from various suppliers, with the fleet manager currently supporting over 20 different AGV communication protocols. This capability gives customers the flexibility to operate mixed AGV fleets while maintaining centralised control.

“The system can control both real-world operations and simulations. If you have a digital simulation of your plant, our fleet manager can demonstrate how AGVs will operate before physical implementation,” Haan notes.

Predictive Maintenance Evolution

Siemens’ Senseye predictive maintenance system distinguishes itself through two key advantages over competitor offerings. First, the system utilises data from standard automation components that generate extensive operational information automatically.

“All drives, all PLCs generate extensive operational data automatically. You can get current consumption, torque output, operating temperatures and many other parameters directly from standard components,” Haan explains. “Just by analysing this standard information, we can predict when machines are at risk.”

Pattern recognition enables early identification of developing problems. Unexpected changes in current consumption patterns might indicate bearing wear or other mechanical issues weeks before actual failure occurs.

The second advantage involves Senseye’s internet-based architecture, which, with customer permission, compares similar machines across Siemens’ global installed base by connecting to standard databases. “This means customers benefit not just from learning about their own machines but from patterns identified across all connected machines worldwide,” Haan says.

This global learning capability creates powerful network effects. When Siemens identifies a failure pattern in one facility, that knowledge immediately becomes available to prevent similar failures in other locations using comparable equipment.

Industry Consolidation And Future Outlook

The global tyre industry is experiencing dramatic structural changes, particularly evident in China, where consolidation has accelerated significantly. “Five years ago, there were approximately 500 tyre manufacturers in China. Now we’re down to fewer than 300,” Haan reports.

This consolidation reflects both market forces and deliberate government policies that promote industry efficiency and environmental performance. “China’s manufacturing policy demands higher technology adoption, better environmental performance and reduced energy consumption,” says Haan. Export challenges compound these pressures, making it difficult for smaller manufacturers to achieve the scale necessary for survival. Government support actively encourages consolidation towards larger, more technologically advanced companies capable of global competition.

Siemens is positioning itself for these changes through what Haan calls ‘glocalisation’ – the company’s new plant that is planned in Singapore reflects this approach. “We’ll see increasingly region-specific trends that require local adaptation while maintaining global technological standards,” adds Haan. The future belongs to companies embracing comprehensive digital transformation rather than piecemeal automation upgrades. “Companies must understand lifecycle costs rather than focusing solely on initial purchase prices. They need to integrate sustainability metrics into operations from the beginning, not as an afterthought,” Haan emphasises.

Most importantly, successful manufacturers will be those capable of rapid adaptation to changing market demands through flexible, digitally-enabled production systems. “The technology exists today to achieve this flexibility – the question is which companies will have the vision and commitment to implement it comprehensively,” says Haan. As Haan concludes: “The tyre industry’s digital transformation is no longer a future possibility – it’s happening now. Companies that delay this transition risk being left behind in an increasingly competitive and regulated global marketplace.”

Anyline is displaying its AI-powered TireBuddy platform at the 2026 National Automobile Dealers Association (NADA) Show in Las Vegas (from 3–6 February), demonstrating how it brings objective, digital tyre inspections to automotive retailers. The technology, which standardises tread depth and condition assessments, is used by dealerships, reconditioning centres and independent shops to enhance operational consistency and customer transparency. At Booth 7649N, live demonstrations will show the system’s guided scanning and intuitive workflow, which technicians have adopted for its ability to generate clear, data-backed reports directly in the service bay.

A key adopter includes EchoPark, a national pre-owned vehicle retailer under Sonic Automotive, Inc., which utilises TireBuddy as part of its rigorous 190-point vehicle inspection process across multiple states. The platform provides repeatable measurements that strengthen technical recommendations and build buyer confidence by turning subjective checks into documented insights. Since its 2025 launch, the tool has been implemented by large-scale automotive groups seeking to improve decision-making and efficiency.

Anyline’s exhibition will focus on these real-world applications, showing how digitising tyre inspections creates a more transparent and trustworthy service experience. By replacing visual estimates with precise digital data, TireBuddy helps businesses streamline workflows, empower technicians and ultimately support safer, more reliable vehicle assessments for customers.

Christoph Braunsberger, CEO, Anyline, said, “Our goal with TireBuddy is to equip technicians with the tools they need to make accurate, fast and confident decisions, an important message we’re bringing to the forefront at this year’s NADA Show. By providing objective, AI-powered data, TireBuddy delivers a far clearer path to cost savings, operational efficiency and customer transparency for retailers – benefits that matter at every level of their operation.”

As urban areas around the world grow increasingly louder, traffic noise has emerged as a critical environmental and public health challenge. Recognised by health authorities as a major risk factor, this pervasive issue extends from European cities to megacities across Asia and Latin America. Continental is addressing this problem by pioneering tyre technologies that significantly reduce rolling noise, thereby contributing to quieter urban environments and enhanced in-vehicle comfort.

The transition to electric mobility has brought tyre noise into sharper focus. With the near-silent operation of electric motors replacing traditional engine sounds, the acoustic contribution from tyres becomes far more prominent, even at moderate city driving speeds. In response, Continental engineers have developed specialised solutions that target noise generation without compromising the safety, durability or performance of the tyre.

One such innovation is the Silent Pattern tread design, featured on models like the EcoContact 7. This technology disrupts the conventional, uniform arrangement of tread blocks that typically creates a rhythmic humming sound on pavement. By intelligently varying the spacing and angles of these blocks, the pattern breaks up this acoustic consistency. Furthermore, it is tuned to cancel out specific sound frequencies, akin to the principle behind noise-cancelling headphones. This results in a measurable reduction of traffic noise at speeds around 50 kmph, where rolling noise is most perceptible to pedestrians and residents.

For reducing noise inside the vehicle cabin, Continental employs its ContiSilent technology. This involves lining the inside of the tyre with a lightweight polyurethane foam that absorbs vibrations caused by the tyre’s contact with the road. By dampening these air vibrations, the technology can cut perceived in-cabin rolling noise by up to nine decibels – a reduction the human ear experiences as nearly halving the volume. This substantial increase in acoustic comfort is integrated into various product lines, including high-performance summer tyres, without affecting driving dynamics or efficiency.

The company’s commitment to low-noise mobility spans multiple vehicle segments. From the Conti Urban NXT for city buses to passenger car tyres like the EcoContact 6 Q and van tyres such as the VanContact A/S Eco, these products are designed to meet stringent noise standards. Consumers can readily identify these quieter options through regulatory labels, like the EU tyre label, which provides clear decibel ratings for external rolling noise. Through these continuous advancements in tread design and sound-dampening materials, Continental is systematically working to diminish the acoustic footprint of road traffic.

According to Achillefs Tsotras, head of Continental’s Tyre-Vehicle Interaction department, “Noise, especially traffic noise from cars, buses and delivery vehicles, is a major burden for people and the environment. With tyre technologies like ContiSilent and innovative tread designs, we are actively reducing rolling noise without compromising safety. This makes every ride noticeably quieter, benefiting drivers, pedestrians, residents and the environment alike.”

SemiCab, a subsidiary of Algorhythm Holdings, has secured a significant expansion to its existing Master Services Agreement with Apollo Tyres Ltd., a prominent global tyre manufacturer. Apollo Tyres, which serves major international markets and reports annual sales exceeding USD 5 billion, ranks among the world’s top 10 tyre producers. This enhanced partnership, building upon a commercial pilot initiated in September 2024, will see SemiCab manage freight transportation across 20 high-density corridors in India while increasing shipment frequency throughout a broader service region.

The expansion is projected to contribute up to USD 2.5 million in yearly revenue for SemiCab. The company delivers these managed services through its AI-driven Collaborative Transportation Platform, a cloud-based system engineered to lower logistics expenses, boost delivery precision and minimise empty truck miles. This technology offers complete live tracking and enhances network visibility without disrupting existing business processes. It seamlessly integrates with current transportation management software to automate tasks like ordering and invoicing and employs platform bots to gather data and handle routine operations. The system actively identifies and facilitates real-time collaboration between shippers and carriers to optimise efficiency.

Ajesh Kapoor, CEO of SemiCab Holdings, LLC, commented, “We are pleased to be a partner to such a prestigious multi-national company like Apollo Tyres, which is a globally recognised leader in the tyre industry. This new expansion of our existing relationship opens the door to immense growth opportunities for us. By leveraging our AI-powered platform, we are highly confident in our ability to drive significant cost efficiencies and delivery strong performance improvements for Apollo across much of India. This partnership represents a major step forward in our mission to revolutionise freight logistics in India, and we are excited about the growth it can drive for both of our businesses.”

Dunlop will present its proprietary SENSING CORE technology at the Consumer Electronics Show (CES) 2026 in Las Vegas coming January. The prominent global trade event, scheduled for 6–9 January 2026, will serve as the platform for Dunlop to highlight the system's role in advancing safety for future autonomous mobility.

Central to the booth will be a display focused on evolving SENSING CORE into a broader technology platform. This exhibit will detail collaborative technical verifications with T2 Inc., a firm developing hub-to-hub autonomous trucking services. It will also feature integrated fleet service demonstrations combining the sensing technology with AI solutions from Viaduct, Inc., a US-based company acquired by Sumitomo Rubber in August 2025. The company plans to leverage this acquisition from 2026 to efficiently expand predictive maintenance services for fleet operators globally, including in Japan and European markets.

Further exhibit segments will immerse visitors in six future mobility scenarios, spanning logistics, public transportation and infrastructure. The company positions SENSING CORE as a foundational technology for safer autonomous driving, capable of gathering critical data on tyre and road surface conditions. This information is intended not only for direct vehicle control but also for cloud-based integration with broader societal data streams. Ongoing development efforts are aimed at supporting the realisation of a safer and more advanced mobility experience for all.