Rockwell Automation 2025 Sustainability Report: Driving Industrial Automation with AI and Digital Twins
News

Rockwell Automation 2025 Sustainability Report: Driving Industrial Automation with AI and Digital Twins

Embracing Sustainability in Industrial Automation

Rockwell Automation has unveiled its 2025 Sustainability Report, highlighting a strategic integration of sustainability across all operations. The company emphasizes that environmental initiatives are now central to its core production strategy, rather than a separate effort. By leveraging industrial automation technologies such as PLCs, DCS, and factory control systems, Rockwell helps manufacturers reduce energy consumption and emissions while enhancing operational efficiency.

AI and Digital Twins Enhance Operational Efficiency

Using Advanced Technologies to Reduce Environmental Impact

Rockwell’s report underscores its adoption of artificial intelligence (AI) and digital twins to optimize manufacturing processes. Digital twins allow real-time simulation of factory operations, enabling predictive maintenance and energy management. As a result, manufacturers can cut waste, improve product quality, and reduce carbon footprints without sacrificing production performance. In addition, advanced motion control systems and secure automation networks support both productivity and environmental compliance.

ESG Strategy in Industrial Automation

Integrating Environment, Social, and Governance Priorities

Rockwell structures its sustainability around three pillars: Environment, Social, and Governance (ESG). The environmental focus includes energy efficiency, emissions reduction, and product design for sustainability. Social initiatives address employee safety, diversity, and workforce development. Governance priorities include cybersecurity, product safety, and enterprise risk management, ensuring ethical and resilient industrial operations. This comprehensive approach aligns automation practices with global ESG standards.

Supporting Sustainable Customers and Operations

Helping Manufacturers Meet Their Environmental Goals

Through intelligent control systems and factory automation solutions, Rockwell enables its customers to achieve their sustainability targets. Scalable PLC and DCS solutions allow real-time monitoring of energy use, emissions, and waste across production lines. Internally, Rockwell implements best practices to make its operations safer, more efficient, and environmentally responsible. Moreover, the company invests in local communities, supporting education and workforce development to cultivate future industrial talent.

Climate Resilience and Science-Based Targets

Preparing Supply Chains for the Future

The report also emphasizes climate adaptation and resilience strategies. Rockwell aims to climate-proof its supply chain, ensuring reliable operations under environmental stress. Setting science-based targets for emissions reduction demonstrates the company’s commitment to measurable, long-term environmental outcomes. As Emmanuel Guilhamon, VP for Sustainability, notes, these efforts prioritize both business resilience and long-term stakeholder value.

Expert Insights: Sustainability as a Growth Strategy

The Role of Automation in Future Manufacturing

Rockwell’s approach illustrates a broader industrial trend: sustainability is no longer optional but a growth driver. Integrating AI, digital twins, and advanced automation enables factories to optimize energy use, reduce emissions, and maintain high-quality production. For industrial operators, this signals a shift toward smart, environmentally responsible manufacturing that aligns profitability with ESG objectives.

Practical Applications and Solution Scenarios

Real-World Industrial Automation Implementation

Industrial plants can leverage Rockwell’s solutions to monitor energy consumption using PLC-based data collection, simulate process changes via digital twins, and enhance production safety through advanced control systems. For example, a food and beverage factory could reduce energy usage by 15% by simulating equipment schedules with a digital twin. Similarly, a chemical plant can improve emissions compliance by integrating AI-driven predictive maintenance into its DCS architecture.

Link copied