Introduction to SPS 2025: A Window into Industrial Automation’s Future
The 2025 edition of Smart Production Solutions (SPS) returned to Nuremberg, Germany, revealing how industrial automation is rapidly evolving. Visitor numbers rose by 9%, signaling a continued appetite for advanced digital and smart manufacturing technologies. As an automation engineer, I observed that the industry is moving beyond simple efficiency gains toward AI-enabled decision-making, system interoperability, and sustainable operations. SPS now clearly represents the intersection of software, AI, and hardware innovation, where vendors are redefining engineering roles through autonomous, intelligent systems.
Siemens: Industrial AI and Software-Defined Automation
Siemens positioned itself under the “One Tech Company” strategy, highlighting the integration of Industrial Edge, cloud services, and data-driven workflows. Key innovations included:
- Generative AI co-pilots like Engineering Copilot TIA for autonomous engineering tasks and Insights Hub Production Co-pilot for root-cause analysis.
- Software-Defined Automation (SDA): Simatic AX integrates GitHub and Visual Studio Code for IT-like flexibility in industrial operations.
- Hardware & drives: The Sinamics S220 drive system boosts power density and multi-axis control.
- Cybersecurity & zero-trust: SINEC Secure Connect formalizes OT security standards.
By embedding AI agents capable of autonomous production orchestration, Siemens is not only streamlining engineering workflows but also redefining the role of engineers to focus on higher-level decision-making rather than repetitive tasks.
Beckhoff Automation: Physical AI and Flexible Control
Beckhoff’s focus at SPS 2025 was on “physical AI,” integrating AI directly with machinery for real-time operational control. Highlights included:
- TwinCAT CoAgent for natural-language interaction with machines.
- AI-driven robotics: ATRO robot leveraging LLM for autonomous decision-making.
- MX-System control cabinets: Flexible, Lego-like hardware assembly with integrated IPCs, I/Os, and drives.
By applying AI directly onto the physical world, Beckhoff enhances operational intuition, allowing machines and operators to tackle complex problems faster and more accurately, effectively extending human capabilities in industrial settings.
Rockwell Automation: Unified Platforms and Predictive AI
Rockwell emphasized practical strategies for operational optimization:
- ControlLogix® 5590 PLC: Enhanced processing, memory, and built-in safety/cybersecurity.
- PointMax™ I/O: Modular, scalable input/output architecture.
- FactoryTalk Analytics LogixAI: Predictive insights to preempt product quality issues.
- Emulate3D digital twins: Virtual validation reduces development time and risk.
By combining advanced digital twins and AI co-pilots with modular hardware, Rockwell is demonstrating how platform-based architectures can accelerate operational insights while mitigating risks, making industrial processes faster, smarter, and more resilient.
ABB: Energy Efficiency, AI, and Circular Innovation
ABB showcased technologies targeting energy savings, decarbonization, and operational intelligence:
- Energy management solutions: ASKI, InSite, and LV Titanium Variable Speed Motors.
- AI-powered 3D visualization: Streamlines motor and drive selection, commissioning, and troubleshooting.
- Sustainable infrastructure: Solid State Circuit Breaker SACE Infinitus and CO₂-neutral electric heating solutions.
ABB integrates AI and digital twins directly into operational and environmental outcomes, highlighting how industrial automation can serve as a key lever for energy efficiency, sustainable manufacturing, and measurable ROI.
Schneider Electric: Agentic AI and Open Automation
Schneider Electric’s SPS highlight was agentic AI within EcoStruxure:
- Automation Expert: Interoperable orchestration layer for system development.
- Aveva Advanced Analytics & Asset Information Manager: Cloud-native tools for single-source asset intelligence.
- Agentic AI: Autonomous execution of tasks from digital twin creation to PLC programming.
By fully automating the system development lifecycle, Schneider Electric is not only addressing the industry’s skill gap but also significantly boosting productivity, allowing engineers to focus on oversight and validation while the AI handles repetitive and complex operational tasks.
Advantech: Edge Intelligence and AMR Scalability
Advantech focused on operationalizing intelligence at the edge:
- AMAX IoT Control Platforms: Open, scalable SDA solutions for intensive workloads.
- Edge AI & AMRs: Autonomous learning and sensor fusion for fleet-scale deployment.
- Federated learning: Protects data privacy while optimizing AI models across robots.
Advantech’s edge-first approach positions intelligence closer to operations, enabling autonomous mobile robots and real-time AI decision-making, which accelerates IT/OT convergence while maintaining operational resilience and scalability.
Belden: Industrial Networking and Edge AI
Belden emphasized robust connectivity and network intelligence:
- Deterministic Wi-Fi 7 & SPE: Supports robotics and smart building applications.
- Belden Horizon: Unified network management and edge data ingestion.
- Digital coworker AI: Expert assistant for real-time networking troubleshooting.
By merging AI with industrial networking, Belden is enhancing both system reliability and operator efficiency, allowing complex network issues to be resolved faster and reducing downtime through intelligent, proactive management.
Phoenix Contact: Open Ecosystems and No-Code AI
Phoenix Contact showcased its PLCnext ecosystem for IT/OT convergence:
- Virtual PLCnext Control: Hardware-independent, containerized control for real-time applications.
- MLnext app: No-code AI for predictive maintenance and monitoring.
- Energy efficiency: Components for DC grids and Power-to-X applications.
With open architectures and no-code AI, Phoenix Contact enables companies to deploy advanced automation solutions quickly, empowering engineers without deep programming expertise to harness AI-driven insights and control system optimization.
Conclusion: The Future of Industrial Automation
SPS 2025 confirms that industrial automation is evolving beyond isolated hardware or software solutions. AI, SDA, digital twins, and sustainability are now central to competitive advantage. Engineers must adapt to hybrid roles—balancing AI oversight, platform orchestration, and sustainability-driven decision-making—as vendors like Siemens, Beckhoff, Rockwell, ABB, Schneider, and others shift the focus toward intelligent, autonomous, and resilient industrial ecosystems.
