Industrial automation is entering a new phase where software, artificial intelligence, electrification, and digital intelligence are becoming as important as traditional machinery. At Automate 2026, Schneider Electric is using one of North America's largest automation events to demonstrate how open, software-defined automation architectures could help manufacturers modernize operations, improve flexibility, and prepare for increasingly autonomous industrial environments.

Schneider Electric is taking center stage at Automate 2026 as manufacturers worldwide confront growing pressures to modernize production systems, improve operational efficiency, and adapt to rising energy and compute demands.

The company is using the event to highlight its vision for open software-defined automation (SDA), positioning the technology as a foundational component of next-generation industrial operations. The strategy combines automation, digital intelligence, electrification, and industrial software into a unified architecture designed to help organizations operate more efficiently while responding more quickly to changing business conditions.

The announcement comes at a pivotal moment for the industrial sector.

Manufacturers are balancing multiple challenges simultaneously, including aging infrastructure, labor shortages, supply chain disruptions, increasing sustainability requirements, and the growing impact of artificial intelligence on production environments. At the same time, renewed investment in domestic manufacturing and expanding data center infrastructure are creating additional demand for more agile and scalable industrial systems.

Against this backdrop, Schneider Electric is advocating for a shift away from traditional automation architectures toward software-centric operational models.

Software-defined automation separates automation software from proprietary hardware systems, allowing manufacturers greater flexibility when integrating equipment, upgrading facilities, and scaling operations. The approach is increasingly gaining traction across industrial sectors seeking to avoid vendor lock-in and improve interoperability across diverse production environments.

At Automate 2026, Schneider Electric is demonstrating how open automation frameworks can support adaptive operations capable of responding to real-time production conditions. The company argues that future industrial environments will require systems that continuously evolve rather than relying on static automation processes.

This vision aligns with broader Industry 4.0 trends reshaping global manufacturing.

According to Gartner, manufacturers continue increasing investments in intelligent automation, industrial AI, and digital transformation initiatives as they seek to improve resilience and competitiveness. IDC similarly projects strong growth in industrial software and automation spending as organizations modernize production infrastructure and embrace data-driven decision-making.

Schneider Electric's strategy centers on bringing together three major technology domains that have historically operated independently: automation, digital intelligence, and electrification.

The convergence of these technologies is becoming increasingly important as manufacturers seek greater visibility into operations while also managing energy consumption, sustainability goals, and production performance. Integrating these capabilities within a unified architecture enables organizations to optimize operational and energy efficiency simultaneously.

A significant focus of the company's presence at Automate is open ecosystem collaboration.

Schneider Electric is showcasing integrations with a broad network of technology partners, including AVEVA, AWS, HPE, Intel, Microsoft, NVIDIA, ETAP, Barbara, and Universal Automation. These partnerships reflect a growing industry shift toward open platforms that allow organizations to combine technologies from multiple vendors rather than relying on closed proprietary environments.

The collaborative approach is particularly relevant as industrial organizations adopt hybrid architectures that span edge computing, on-premises operations, cloud environments, and AI-powered analytics platforms.

One of the event's central themes is the role of digital twins and industrial AI in driving measurable business outcomes.

Digital twin technology enables manufacturers to create virtual representations of physical assets, processes, and facilities, allowing teams to simulate changes, identify bottlenecks, and optimize performance before implementing modifications in live environments. When combined with AI, these digital models can support predictive maintenance, operational forecasting, and autonomous decision-making.

Schneider Electric plans to further explore these opportunities through an executive session featuring NVIDIA, Fallas Automation, and Deloitte, focusing on how industrial AI and digital twins are delivering practical value across manufacturing operations today.

The company is also using Automate 2026 to highlight its EcoStruxure Automation Expert platform and the growing adoption of IEC 61499, an international standard designed to support distributed and interoperable automation systems. Through its Schmoooth Automators Challenge, Schneider Electric aims to encourage innovation around OT/IT convergence and open automation architectures among system integrators and engineering students.

The initiative reflects increasing demand for automation professionals capable of bridging operational technology and information technology environments.

Industry leaders increasingly view OT/IT convergence as a critical requirement for deploying AI-powered industrial applications, enabling data to flow seamlessly between production equipment, enterprise systems, analytics platforms, and cloud infrastructure.

The broader significance of Schneider Electric's Automate presence extends beyond product demonstrations.

As industrial organizations accelerate digital transformation initiatives, the conversation is shifting from simply automating tasks to creating intelligent, adaptive operations capable of continuous improvement. Software-defined automation, industrial AI, digital twins, and electrification are emerging as core technologies supporting that transition.

Competition in this market is intensifying as major automation providers including Rockwell Automation, Siemens, ABB, and Honeywell continue expanding software-driven industrial platforms.

For manufacturers, the challenge is no longer whether to digitize operations but how to build flexible architectures capable of adapting to future technologies and business requirements.

Schneider Electric's focus on open, software-defined automation suggests the industry may be moving toward a future where industrial systems operate less like isolated machines and more like intelligent, interconnected software ecosystems.

Market Landscape

The global industrial automation market is undergoing rapid transformation as manufacturers invest in Industry 4.0 technologies, AI-driven operations, digital twins, and software-defined architectures. According to IDC, industrial digital transformation spending continues to rise as organizations seek greater agility, efficiency, and resilience across production environments.

At the same time, open automation standards and interoperable platforms are gaining momentum as manufacturers seek to reduce complexity and improve system flexibility. Gartner identifies intelligent automation, industrial AI, and connected operations as key priorities for organizations modernizing production infrastructure.

Major industry players including Schneider Electric, Siemens, Rockwell Automation, ABB, and Honeywell are increasingly focusing on software-centric industrial platforms that combine automation, analytics, cloud connectivity, and operational intelligence.

Top Insights

• Schneider Electric is using Automate 2026 to promote open software-defined automation as a foundation for adaptive and autonomous industrial operations.
• The company is integrating automation, digital intelligence, and electrification into a unified architecture designed to improve operational flexibility and efficiency.
• Strategic partnerships with AWS, Microsoft, NVIDIA, Intel, AVEVA, and others highlight growing demand for open industrial ecosystems.
• Digital twins and industrial AI are becoming essential technologies for optimizing production performance and supporting data-driven decision-making.
• Manufacturers are increasingly adopting software-centric automation models to improve interoperability, scalability, and long-term operational resilience.

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