Siemens and Machine Tool Manufacturers Launch Industrial AI Data Alliance for Smart Factory Automation
Siemens and Machine Builders Agree on Data Alliance
Siemens Expands Industrial AI Strategy with Manufacturing Data Collaboration
Siemens has formed a major industrial AI alliance with leading machine tool manufacturers and research institutions. The partnership focuses on sharing engineering, production, and machine data to accelerate generative AI innovation in industrial automation.The alliance includes Grob, Trumpf, Chiron, Renishaw, Heller, Voith Group, and RWTH Aachen University’s Machine Tool Laboratory (WZL).This collaboration supports Siemens’ long-term vision for its Industrial Foundation Model, first introduced at Hannover Messe 2025.The initiative also reflects the growing importance of AI in factory automation, PLC systems, DCS control systems, and advanced manufacturing environments.Industrial AI Becomes a Strategic Priority for European Manufacturing
Siemens CEO Roland Busch emphasized that industrial AI offers significant opportunities for Europe’s industrial economy.Industries such as automotive, chemicals, pharmaceuticals, energy, healthcare, transportation, and mechanical engineering increasingly rely on intelligent automation technologies. Therefore, manufacturers require scalable AI systems capable of handling complex industrial workflows.The alliance aims to unlock new productivity levels by combining high-quality industrial data with generative AI technologies.From an industry perspective, access to trusted manufacturing data remains one of the most important requirements for successful industrial AI deployment.Shared Machine Data Improves Generative AI Performance
The participating companies will exchange anonymized machine and manufacturing data under strict cybersecurity and data protection standards.This data will help train AI models specifically designed for industrial environments. Unlike general-purpose AI systems, industrial AI models must understand machine behavior, production workflows, and engineering processes.As a result, specialized industrial foundation models can provide more accurate recommendations for factory automation and control systems applications.Moreover, the collaboration highlights a growing trend toward secure industrial data ecosystems that support AI innovation without compromising operational security.Automated NC Programming Enhances Manufacturing Efficiency
One important application involves the automatic generation of NC programs for machine tools.NC programs control machining operations and provide detailed production instructions for industrial equipment. Traditionally, programmers spend significant time creating and optimizing this code manually.Generative AI can simplify this process by creating machine programs faster while reducing coding errors. Consequently, engineers can focus more on advanced manufacturing tasks and process optimization.For industrial automation environments, automated programming may improve production flexibility and shorten product development cycles.AI Supports Predictive Maintenance and Adaptive Manufacturing
The alliance also plans to develop AI solutions for predictive maintenance and adaptive manufacturing.Predictive maintenance systems analyze machine data to identify potential equipment failures before breakdowns occur. Therefore, manufacturers can reduce unplanned downtime and improve asset reliability.In addition, adaptive manufacturing systems can adjust machine parameters automatically based on changing production conditions.These capabilities closely align with modern smart factory strategies that integrate AI, IoT sensors, PLC controllers, and DCS infrastructure into connected production environments.From a technical perspective, AI-driven manufacturing optimization could significantly improve energy efficiency and operational stability.Industrial Data Quality Remains Essential for AI Success
Roland Busch highlighted that high-quality machine data from multiple manufacturers plays a critical role in industrial AI development.Industrial environments generate enormous amounts of operational data every day. However, fragmented data structures often limit the effectiveness of AI systems.By creating a shared industrial data ecosystem, Siemens and its partners aim to improve AI accuracy across engineering, manufacturing, and maintenance applications.This approach may also encourage broader standardization within industrial automation and smart manufacturing industries.IT and OT Integration Accelerates Smart Factory Development
The alliance further supports the growing convergence of Information Technology (IT) and Operational Technology (OT).Modern manufacturing facilities increasingly connect enterprise software with factory-level control systems. Consequently, AI platforms must integrate smoothly with PLC systems, MES software, SCADA platforms, and industrial IoT networks.Industrial AI models that understand both operational and engineering data can improve decision-making across the entire production lifecycle.This convergence also strengthens digital twin applications, autonomous manufacturing, and real-time production analytics.Industry Perspective: Industrial AI Could Reshape Manufacturing Operations
The manufacturing industry continues to face labor shortages, rising production costs, and stronger global competition.Therefore, companies increasingly invest in AI-driven industrial automation technologies to improve productivity and operational resilience.The Siemens-led alliance demonstrates how collaborative industrial ecosystems may accelerate AI adoption across multiple sectors.From an industry viewpoint, companies that combine trusted industrial data with scalable AI infrastructure may gain long-term competitive advantages in smart manufacturing.Moreover, Europe’s industrial sector could strengthen its technological leadership through open collaboration between machine builders, software providers, and research organizations.Real-World Application Scenarios for Industrial AI
The alliance’s industrial AI technologies may support applications such as:- Automated NC programming for machine tools
- Predictive maintenance in factory automation systems
- AI-driven quality inspection and process optimization
- Energy-efficiency management in industrial facilities
- Digital twin simulation for production environments
- Adaptive manufacturing using real-time machine data
- Smart robotics and autonomous production systems
- Industrial analytics integrated with PLC and DCS platforms
Conclusion
The Siemens industrial AI alliance marks an important milestone for smart manufacturing and industrial automation development.By combining machine data, engineering expertise, and generative AI technologies, the partnership aims to create more intelligent and adaptive manufacturing systems.In addition, the initiative demonstrates how industrial AI, factory automation, PLC systems, and advanced control technologies continue converging into fully connected smart factory ecosystems.As manufacturers pursue greater efficiency, sustainability, and flexibility, industrial AI alliances like this may shape the future of global manufacturing innovation.
AMD Joins Digital Twin Consortium to Advance AI-Powered Edge Computing for Industrial Automation
Digital Twin Consortium Welcomes AMD to Accelerate AI-Powered Digital Twin Innovation at the Edge
AMD Expands Its Role in Digital Twin and Edge AI Technologies
Digital Twin Consortium (DTC) has announced that AMD joined the organization to support next-generation AI-powered digital twin innovation. The collaboration aims to accelerate intelligent edge computing across industrial automation, factory automation, and smart infrastructure environments.AMD will contribute advanced AI processing technologies, including Ryzen AI processors and ROCm software, to strengthen digital twin deployment at the industrial edge. As industries demand faster analytics and autonomous operations, edge AI becomes increasingly important for real-time decision-making.This partnership also highlights the growing convergence between AI, digital twins, PLC systems, and industrial control systems.Digital Twin Technology Continues to Evolve in Industrial Automation
Digital twin technology has rapidly moved beyond simulation and visualization. Today, companies use digital twins for predictive maintenance, operational optimization, and autonomous process management.As a result, manufacturers and infrastructure operators now integrate digital twin platforms directly with DCS, SCADA, and factory automation systems.AMD’s participation in DTC reflects this industry transition. The company focuses on enabling intelligent computing directly at the edge rather than relying entirely on cloud infrastructure.This approach helps organizations reduce latency, strengthen cybersecurity, and improve operational reliability.Ryzen AI Processors Support Intelligent Edge Applications
AMD recently introduced major innovations through its Ryzen AI processor series and ROCm 7 open-source software platform. These technologies support high-performance AI workloads while improving local processing efficiency.The hybrid architecture combines neural processing units (NPUs) with integrated GPU capabilities. Therefore, industrial users can deploy sophisticated AI agents directly on edge devices.For industrial automation environments, local AI processing offers practical advantages. Facilities can analyze machine data in real time without transferring sensitive operational information to external cloud systems.This capability becomes especially valuable for mission-critical industries such as energy, manufacturing, and healthcare.Open-Source AI Frameworks Improve Digital Twin Flexibility
AMD also promotes open-source AI development through projects such as Minions and Lemonade Server.Minions, developed by Stanford University’s Hazy Research Group, enables collaboration between large cloud-based AI models and smaller local AI systems. Meanwhile, Lemonade Server allows local large language models to run efficiently on AMD Ryzen AI platforms with NPU acceleration.These frameworks support composable digital twin architectures. In addition, they help organizations scale AI deployments from pilot projects to enterprise-wide industrial systems.From a technical perspective, open-source ecosystems often accelerate innovation because developers can adapt solutions for specialized industrial requirements.AI Agents and Multi-Agent Systems Transform Factory Automation
DTC recently introduced its AI Agent Capabilities Periodic Table framework to support advanced AI agent deployment. AMD’s edge AI technologies align closely with this initiative.The company’s hardware architecture enables Multi-Agent Generative Systems (MAGS) to operate locally in industrial environments. Consequently, digital twin systems can process data, coordinate operations, and respond to changing conditions with minimal human intervention.This development could significantly impact industrial automation and robotics applications. Smart factories increasingly require autonomous systems that can manage production efficiency, equipment diagnostics, and quality control simultaneously.Moreover, edge-based AI agents improve response times for safety-critical industrial operations.Industrial Edge AI Strengthens Security and Data Sovereignty
One important advantage of edge AI involves data sovereignty. Many industrial companies prefer local data processing because operational information remains within their own infrastructure.AMD’s strategy supports this requirement by enabling AI inference directly on industrial PCs and embedded systems. Therefore, organizations can maintain stronger control over sensitive operational data.In addition, predictable local computing costs may reduce long-term cloud expenses for large-scale digital twin deployments.For sectors such as utilities, oil and gas, and pharmaceutical manufacturing, these factors remain critical during digital transformation projects.Industry Perspective: Open Standards Will Shape Future Digital Twin Adoption
Digital Twin Consortium continues to focus on interoperability, cybersecurity, and open standards development. AMD’s commitment to open-source frameworks aligns with these objectives.In industrial automation, interoperability remains essential because facilities often combine equipment from multiple vendors. PLC controllers, DCS systems, robotics platforms, and IoT devices must exchange data efficiently across operations.The industry increasingly favors flexible architectures rather than isolated proprietary systems. Therefore, partnerships between technology providers, industrial software developers, and research organizations will likely accelerate innovation.From an operational perspective, companies adopting open and scalable digital twin platforms may achieve faster deployment cycles and lower integration costs.Application Scenarios for AI-Powered Digital Twins
AI-powered digital twin systems can support multiple industrial applications, including:- Predictive maintenance in manufacturing plants
- Autonomous robotics and humanoid systems
- Smart energy management and SMR operations
- Real-time monitoring of factory automation equipment
- Healthcare and life sciences asset management
- Industrial process optimization using DCS and SCADA platforms
Conclusion
AMD’s membership in the Digital Twin Consortium marks an important step for AI-powered digital twin development at the industrial edge.The combination of Ryzen AI processors, open-source software frameworks, and edge computing technologies supports the future of intelligent industrial automation. Moreover, the increasing integration of AI agents, digital twins, and factory automation systems will likely redefine operational efficiency across multiple industries.Organizations investing in scalable edge AI infrastructure today may gain significant long-term advantages in performance, reliability, and data security.
How Vibration Monitoring Enhances Machinery Life and Factory Automation
Predictive Precision: How Vibration Monitoring and Targeted Maintenance Extend Machinery Life
Maximizing Machinery ROI Through Predictive Maintenance
Rotating equipment, including pumps, compressors, turbines, and gearboxes, represents a major capital investment for manufacturers.Industrial automation systems such as PLCs, DCS, and factory control systems can leverage vibration monitoring to reduce unplanned downtime. Predictive maintenance driven by vibration data prolongs equipment life and lowers operating costs.Limitations of Traditional Maintenance Approaches
Traditional strategies like run-to-failure and routine preventive maintenance can be costly and inefficient.Run-to-failure risks cascading damage to machinery, while preventive schedules often lead to over-maintenance. Both approaches limit equipment longevity and increase operational costs, particularly in automated factory environments.Condition-Based Maintenance with Vibration Monitoring
Vibration monitoring enables maintenance teams to act at the right time, targeting interventions only when needed.By using sensors and handheld analyzers, teams can monitor machinery continuously or periodically, detecting early warning signs and planning maintenance during scheduled downtime. This approach optimizes PLC and DCS-controlled processes and reduces unnecessary interruptions.Tailoring Strategies for Different Components
Not all machinery components require identical monitoring approaches. High-value assets like steam turbines or critical pump bearings benefit from continuous monitoring, while less critical equipment may only need periodic checks.Industrial automation teams should align vibration strategies with equipment criticality, failure history, and operational conditions for optimal ROI.Getting Started with Vibration Monitoring Programs
Effective implementation requires understanding both equipment needs and team capabilities.Companies can start small with targeted sensors, outsourcing analysis if in-house expertise is limited. Training programs, both online and in-person, can upskill teams in vibration data interpretation and predictive maintenance practices.From Data to Actionable Maintenance Insights
Vibration monitoring provides actionable insights beyond basic trend analysis. Experienced teams can identify issues such as imbalance, misalignment, looseness, and bearing defects.Addressing these problems early prevents costly repairs, maintains machine alignment, and ensures control system performance in automated production lines.Realizing Long-Term Benefits for Industrial Automation
Condition-based maintenance powered by vibration monitoring reduces unplanned failures, lowers maintenance costs, and maximizes production uptime.Integrating vibration data into factory automation systems enhances predictive maintenance capabilities, improves operational efficiency, and increases the lifetime of critical machinery components.Practical Applications and Solution Scenarios
- Factory Automation: Use vibration sensors with PLC and DCS systems to optimize production and prevent downtime.
- Rotating Machinery: Monitor pumps, compressors, and turbines to extend service life and reduce emergency repairs.
- Predictive Maintenance: Apply condition-based maintenance strategies for cost savings and operational efficiency.
U.S. Machinery Orders Show Strong Yearly Growth Amid July Slowdown
Machinery Orders Dip Against Stronger Year-Over-Year Gains
July Machinery Orders Dip, Yet Year-Over-Year Gains Remain Strong
New U.S. orders for metalworking machinery totaled $387.3 million in July 2025, marking a 9.5% decrease from June but a 20.1% increase from July 2024.Industrial automation, including PLCs, DCS, and factory control systems, continues to drive capital equipment demand. Despite a monthly slowdown, manufacturers are investing in automation to improve productivity and operational efficiency.Year-to-Date Machinery Orders Maintain Momentum
Through July 2025, cumulative machinery orders reached $2.91 billion, a 14.4% increase compared to the same period in 2024.This sustained growth demonstrates robust industrial automation adoption, especially in factories and metalworking facilities where automation enhances production precision and process control.Order Values vs. Units: Automation Remains Key
Although the total order value is nearly 20% above a typical July, the number of units ordered fell 13% below average.This indicates that manufacturers are increasingly investing in high-value automation systems and factory control technologies rather than simply increasing unit counts. Such trends highlight the ongoing importance of digital solutions and control systems in industrial automation.Sector Analysis: Contract Shops and Agriculture
Orders from contract machine shops fell nearly 14% from June but rose slightly under 10% from last year, signaling early signs of softness in the largest customer segment.Meanwhile, agricultural equipment manufacturers have shown declining orders since April 2025. However, recent announcements, such as John Deere’s expansion in U.S. operations, suggest potential order upticks in the coming months. These trends impact supply chains for industrial automation components and factory control systems.Economic Outlook and Automation Investment
Despite expectations of a potential Federal Reserve rate reduction, forecasts predict slowing industrial activity in late 2025. This could soften capital equipment purchases, particularly for automation machinery.Industry conferences, including AMT’s MTForecast (Oct. 15–17, Schaumburg, Illinois), will explore potential downturns and highlight sectors where automation investment and factory upgrades remain strong opportunities.Expert Insights: What Machinery Orders Reveal About Automation Trends
The divergence between order value and unit numbers reflects a shift toward intelligent, high-tech industrial automation systems. Manufacturers increasingly prefer investing in PLCs, DCS, robotics, and smart factory technologies that enhance process efficiency and reduce downtime.As a result, understanding machinery order trends provides early insights for automation vendors, factory integrators, and industrial operators seeking strategic investment opportunities.About the USMTO Report
The United States Manufacturing Technology Orders (USMTO) Report aggregates real orders from participating companies, covering domestic and imported machine tools and equipment. This report serves as a leading economic indicator, reflecting manufacturing capacity expansion and technology adoption.About AMT and IMTS
AMT–The Association For Manufacturing Technology represents U.S. manufacturers of advanced machinery, automation, robotics, and digital equipment. It also organizes IMTS, North America’s premier manufacturing technology show, attracting global exhibitors and attendees to explore innovations in CNC machining, factory automation, and industrial IoT solutions.Practical Application Scenarios
- Factory Automation: Leverage rising machinery order trends to integrate PLC and DCS systems for higher productivity.
- Predictive Maintenance: Upgrade machinery with sensors and automation to reduce downtime and improve process control.
- Smart Manufacturing: Use market insights to plan automation investments and optimize production lines.
Tronics Microsystems Expands into Industrial Vibration Monitoring for Smart Factory Automation
TDK Announces Tronics Is Entering Machine and Asset Health Monitoring Market With Vibration Sensor Solutions
Driving Digital Transformation with Industrial Vibration Sensors
TDK Corporation’s subsidiary, Tronics Microsystems, is entering the vibration sensor market for industrial automation and asset health monitoring. The company leverages decades of MEMS inertial sensor expertise to deliver high-precision vibration solutions for predictive maintenance and process monitoring.Vibration monitoring enhances factory automation and control systems, enabling real-time condition tracking, early fault detection, and improved operational reliability. This development strengthens digital transformation across industrial, energy, and transportation sectors.Mission and Vision Focused on Precision and Condition Monitoring
Tronics aims to provide MEMS-based inertial and vibration sensor solutions for accurate motion sensing, positioning, navigation, and industrial asset monitoring.Its vision is to accelerate digital transformation by delivering smart, data-driven sensors that integrate seamlessly into industrial automation, PLC, and DCS systems. These sensors allow companies to optimize factory automation, reduce downtime, and enhance energy efficiency.From MEMS Motion Sensors to Vibration Monitoring
For over 20 years, Tronics has delivered high-performance inertial MEMS sensors for aerospace, rail, and energy applications. Building on this experience, the company now offers vibration sensors designed specifically for industrial process and asset monitoring.Rather than using basic off-the-shelf accelerometers, Tronics engineers innovative MEMS vibration solutions with precision and reliability equal to its inertial sensor line. These products address the growing demand for condition-based maintenance and predictive monitoring.First-Generation Vibration Sensors for Industrial Automation
Tronics is finalizing its first-generation vibration sensor solution. The sensors enable manufacturers to implement highly accurate predictive maintenance, quality control, and process optimization strategies.By integrating these sensors into PLC, DCS, and other control systems, factories can enhance automation reliability and reduce unplanned downtime. As a result, operational efficiency improves while maintenance costs decrease.Industry Showcases and Technology Demonstrations
Tronics will demonstrate its vibration sensor solutions at electronica India (September 17–19, Bengaluru, TDK booth D01, Hall 3) and SPS–Expo (November 25–27, Nuremberg, TDK booth 334, Hall 10).Innovation Marketing Manager Emmanuel Bercier will present real-world applications, showcasing how smart IoT sensors improve machine health monitoring and factory automation processes. These live demonstrations offer industrial operators and integrators a practical view of the technology’s potential.Author Insights: Transforming Industrial Automation
The entry of Tronics into vibration monitoring is a strategic move that complements industrial automation and factory control systems. By providing high-precision MEMS sensors, factories gain actionable insights for predictive maintenance and process optimization.Moreover, integrating vibration data with PLCs, DCS, and IoT platforms enables smart automation solutions. This trend is critical for manufacturers seeking to enhance equipment reliability, optimize production lines, and reduce energy consumption.Practical Applications and Use Cases
- Factory Automation: Integrate vibration sensors with PLCs and DCS for real-time condition monitoring and predictive maintenance.
- Energy Systems: Monitor turbines, motors, and transformers to prevent failures and optimize operational efficiency.
- Industrial IoT: Enable data-driven decisions for smart manufacturing and digital twin applications.
About Tronics Microsystems
Tronics Microsystems, a TDK Group company, specializes in MEMS inertial sensors for motion, positioning, navigation, and condition monitoring. Founded in 1997 in Crolles, France, Tronics operates EN 9100-certified MEMS wafer fabs, assembly, and test facilities. The company provides accelerometers, gyroscopes, vibration sensors, and MEMS foundry services for industrial, transportation, and energy markets.About TDK Corporation
TDK Corporation, headquartered in Tokyo, Japan, has been a global technology leader for over 90 years. Its products include advanced sensors, energy solutions, and electronic components. Through innovation and sustainability, TDK enables digital transformation and smarter industrial automation worldwide.
Harnessing Foundation Fieldbus Linking Devices for Smart Industry 4.0 Integration
Using Foundation Fieldbus Linking Devices in Industry 4.0
Integrating Legacy Systems in Modern Industrial Automation
Industry 4.0 emphasizes smart manufacturing, data-driven insights, and real-time process optimization. However, companies should leverage existing investments in Foundation Fieldbus and Profibus PA. By integrating legacy instrumentation into modern DCS and PLC-based control systems, organizations maximize ROI while advancing digital infrastructure.Foundation Fieldbus: Beyond Traditional Measurement
Foundation Fieldbus provides multivariable communication, device diagnostics, and distributed control capabilities. Moreover, linking devices ensure that process measurements are shared effectively with control systems, enabling operators to make informed decisions and maintain operational reliability.Linking Devices Bridge Legacy and Digital Networks
Linking devices act as intelligent gateways connecting Foundation Fieldbus instruments to DCS, PLC, and SCADA systems. As a result, industries can adopt industrial Ethernet and cloud platforms without replacing costly field instruments, supporting seamless connectivity across factory automation networks.Key Features of Linking Devices for Industry 4.0
- Seamless Data Exchange: Smooth communication between Fieldbus H1 networks and Ethernet protocols like EtherNet/IP and Modbus TCP.
- Advanced Diagnostics: Continuous monitoring detects potential failures, enabling proactive maintenance and reducing unplanned downtime.
- System Health Monitoring: Real-time status updates on instruments, bus power, and linking devices improve troubleshooting efficiency.
- Redundancy: Redundant configurations prevent single points of failure, ensuring high system availability.
- Secure Connectivity: Encrypted communication and authentication protect industrial networks from cyber threats.
- Cloud and Edge Integration: Supports AI-driven analytics, remote monitoring, and real-time data processing for smart operations.
Benefits of Foundation Fieldbus Linking Devices
Integrating linking devices delivers tangible advantages:- Operational Efficiency: Real-time access to process data accelerates decision-making and optimizes energy usage.
- Asset Longevity: Diagnostics prevent failures, extending equipment life and reducing capital expenditures.
- System Interoperability: Ethernet connectivity ensures compatibility with Industry 4.0-ready DCS and PLC platforms.
- Enhanced Data Utilization: Integration with cloud and edge platforms enables predictive analytics and continuous improvement.
- Reliability: Redundancy minimizes downtime and supports uninterrupted industrial operations.
Author Insight: Future-Proofing Industrial Automation
Foundation Fieldbus linking devices empower industries to integrate legacy systems into smart factory environments. As Industry 4.0 advances, adopting these devices enhances operational efficiency, enables advanced diagnostics, and ensures sustainable digital transformation. Organizations that implement these solutions gain resilience, connectivity, and long-term competitiveness.Application Scenarios and Solutions
- Smart Manufacturing: Real-time PLC and DCS integration for efficient control.
- Predictive Maintenance: Advanced diagnostics prevent equipment failures and reduce downtime.
- Cloud-Connected Operations: Edge and cloud analytics optimize production and monitor remote sites.
IOT Solutions Congress Brazil 2025: Driving Industrial Automation and Smart Connectivity
IOT Solutions Congress Brazil Gathers 150 Experts in Disruptive Technologies
Leading Experts Unite to Shape Industrial Automation Trends
The 2025 IOT Solutions Congress Brazil (IOTSCB) will gather over 6,000 industry professionals, 150 experts, and 50 exhibiting companies. Scheduled for September 3–4 at São Paulo’s Transamérica Expo Center, the event focuses on how the Internet of Things (IoT) and industrial automation technologies, including PLCs and DCS, are transforming factory operations. As a result, attendees gain insights into innovation strategies that drive both economic growth and social impact.Connecting Devices and People Through Smart Solutions
Under the theme “Connecting devices, connecting people, connecting worlds,” the congress emphasizes responsible technology deployment. Organizers Fira de Barcelona and Brazilian smart city hub iCities, supported by the City of São Paulo, aim to demonstrate how industrial automation and IoT solutions can create measurable benefits for businesses and communities. Moreover, the program highlights case studies where control systems and factory automation enhance efficiency while supporting sustainability goals.Congress Program Highlights: Expertise in Action
The 2025 program features international speakers sharing hands-on expertise. Highlights include Negar Feher, CEO of Orbital Outpost X, Houston R. Green from NASA, Letícia Maria Paz Lima of the Brazil Quantum Institute, and cybersecurity expert Ali Dehghantanha. Sessions focus on the humanistic approach to industrial automation, digital transformation of operations, and the strategic role of connected control systems in smart factories. By attending, engineers and managers gain practical insights applicable to real-world automation projects.Exhibition Area: Showcasing Cutting-Edge Automation Solutions
The exhibition hosts 50 companies presenting products and services across industrial automation, PLCs, DCS, and IoT platforms. Participants include Netmore, TagoIO, Emnify, Inatel, Algar, Radek, and the Parque de Inovação Tecnológica São José dos Campos. Visitors can explore practical applications of automation and control technologies, compare solutions, and evaluate tools that optimize production efficiency. In addition, a dedicated startup zone features 120 emerging firms demonstrating experimental automation technologies.Hands-On Experience With Test Bench Demonstrations
A key feature of IOTSCB 2025 is the test bench area, where participants interact directly with PLCs, DCS platforms, and IoT-enabled devices. This setup allows engineers to understand system integration, troubleshoot automation processes, and evaluate scalability in real-time environments. Such practical experience bridges theory with operational application, offering invaluable insights for industrial decision-makers.Fira de Barcelona’s Global Network Enhances Knowledge Exchange
IOTSCB Brazil is part of Fira de Barcelona’s international portfolio, which includes Smart City Expo events in New York, Curitiba, Puebla, Santiago de Chile, Kuala Lumpur, and Shanghai. By connecting global trends with local industrial automation needs, the event strengthens the exchange of best practices and innovative solutions across regions. Moreover, it positions São Paulo as a hub for advanced manufacturing and factory automation discussions.Author Insight: Industrial Automation’s Strategic Role
As factories evolve with IoT integration, control systems such as PLCs and DCS become central to operational efficiency and safety. Events like IOTSCB enable professionals to benchmark solutions, understand emerging standards, and identify investment opportunities. Therefore, adopting connected technologies is no longer optional but a strategic imperative for competitive industrial enterprises.Application Cases and Solution Scenarios
- Smart Factory Optimization: Using integrated PLC and DCS systems to monitor and control production lines, reducing downtime by 15–20%.
- Energy Management: IoT-enabled sensors optimize energy consumption across manufacturing units, supporting sustainability initiatives.
- Predictive Maintenance: Combining industrial automation data with analytics helps prevent machinery failures and extend equipment lifespan.
- Connected Supply Chains: Real-time monitoring of raw materials and logistics enhances transparency and operational efficiency.
Planon Recognized as an Industry Leader in CMMS by Independent Research Firm
Planon Recognized as an Industry Leader in CMMS by Independent Research Firm
Planon Earns Top Position in the 2025 Verdantix CMMS Report
Planon has secured a leading position in the 2025 Verdantix Green Quadrant for Commercial Buildings Computerized Maintenance Management Systems (CMMS). The recognition highlights the company’s strong performance in digital maintenance management, smart building integration, and enterprise asset optimization.According to Verdantix, Planon demonstrated major strengths in upgrade-safe configurability, IoT-driven automation, and no-code workflow management. These capabilities continue to attract organizations that operate large-scale facilities and complex industrial environments.The latest evaluation also confirms the growing role of CMMS platforms in industrial automation, factory automation, and modern control systems strategies.CMMS Platforms Continue to Replace Legacy Maintenance Systems
Facility operators now face rising maintenance costs and increasing operational complexity. Therefore, many companies are replacing outdated systems with intelligent CMMS solutions that improve efficiency and reduce downtime.Verdantix analysts noted that modern CMMS software helps organizations optimize maintenance resources, improve service workflows, and strengthen regulatory compliance. In addition, these platforms support predictive maintenance and data-driven decision-making.This trend closely aligns with broader industrial automation initiatives. Many enterprises now integrate CMMS platforms with PLC, DCS, and SCADA environments to achieve centralized visibility across operations.As a result, maintenance teams can respond faster to equipment failures while improving asset reliability.IoT and Predictive Maintenance Drive Smart Facility Operations
One of Planon’s most recognized strengths involves its IoT-enabled maintenance capabilities. The platform integrates with technology providers such as Schneider Electric to support predictive maintenance and intelligent asset monitoring.The system combines digital twin technology, real-time asset tracking, and automated fault detection. Consequently, facility managers gain better operational insight and can reduce unexpected downtime.These technologies also support SLA compliance across multi-site operations. Moreover, organizations can improve maintenance planning by using live equipment data rather than relying on fixed schedules.From an industrial automation perspective, predictive maintenance continues to become a strategic investment. Many manufacturers already connect sensors, PLC controllers, and factory automation devices directly into CMMS platforms for continuous diagnostics.No-Code Workflows Improve Flexibility for Enterprise Users
Verdantix also emphasized Planon’s no-code workflow functionality. This feature allows organizations to adapt maintenance and service processes without extensive software development.For enterprise operators, flexibility remains essential. Industrial sites often manage diverse assets, including HVAC systems, electrical infrastructure, control systems, and production equipment.No-code tools help maintenance teams respond quickly to operational changes. Furthermore, upgrade-safe configuration reduces the risk of software disruptions during platform updates.This approach supports digital transformation initiatives while lowering long-term IT management costs.Planon Expands Its Role Within IWMS and Smart Buildings
Peter Ankerstjerne, CEO of Planon, stated that the company views Asset & Maintenance Management as a core component of its IoT-enabled Integrated Workplace Management Solution (IWMS).The strategy reflects a larger industry movement toward unified operational platforms. Today, companies increasingly seek solutions that combine facility management, sustainability reporting, asset management, and automation analytics in one environment.Moreover, smart building technologies now connect closely with industrial automation systems. Building operators frequently integrate CMMS platforms with energy management software, DCS infrastructure, and cloud-based monitoring tools.This convergence creates new opportunities for operational efficiency and sustainability improvements.Industry Analysis: Why CMMS Matters More Than Ever
The CMMS market continues to evolve rapidly. Labor shortages, aging infrastructure, and stricter compliance standards push organizations toward intelligent maintenance technologies.In many industrial sectors, unplanned downtime creates substantial financial risk. Therefore, predictive maintenance and automated diagnostics become critical operational priorities.Modern CMMS platforms now deliver far more than work order management. Advanced systems support IoT connectivity, AI-based analytics, mobile workforce management, and enterprise-wide reporting.From an industry perspective, companies that integrate maintenance software with factory automation and industrial control systems will likely gain stronger operational resilience over time.Real-World Application Scenarios for CMMS Solutions
Organizations across multiple industries can benefit from advanced CMMS platforms, including:- Manufacturing plants using PLC and SCADA systems for predictive maintenance
- Data centers requiring continuous environmental monitoring
- Commercial buildings managing HVAC and electrical assets
- Pharmaceutical facilities with strict compliance requirements
- Energy and utilities operators monitoring distributed infrastructure
- Smart factories integrating IoT sensors with DCS platforms