Plants can be highly automated and still far from autonomous if humans must continuously interpret, approve, coordinate, and execute nonroutine responses.

Organizations that view autonomy primarily as a workforce reduction strategy risk weakening both the business case and their ability to preserve and scale scarce expert capacity.

Industrial energy management offers major opportunities, but its complexity demands solutions beyond familiar technologies and tailored to each site’s operational realities.

Manufacturers do not fail to realize MES value because of missing functionality. They fail because technology is often deployed before processes, data, and governance are ready to support it. When this front-end work is skipped, companies do not digitize best practices. They digitize inconsistency.

In this Insight, ARC Advisory Group includes the most recent quarterly results for major automation suppliers that publicly report their results. With this latest automation supply side-market update, ARC has increased the number and breadth of automation suppliers covered, based on a combination of publicly reported data and ARC’s own extensive research database. We have also added selected business intelligence visualizations.

Industrial AI requires a different approach than the large language models that have gained widespread adoption in enterprise applications.

AI-augmented HAZOP is emerging as a practical proving ground for industrial AI. It addresses a high-value, knowledge-intensive safety workflow without removing expert judgment from the process. By combining semantic data models, interoperable digital ecosystems, and governed AI assistance, owner-operators can reduce repetitive preparation work while strengthening the quality and consistency of hazard analysis.

A strategic assessment of how 800 VDC power distribution, validated first in AI data centers, could reshape factory and process plant electrification, energy orchestration, supplier strategies, and industrial automation architectures.

Quality Management Systems (QMS) have traditionally served as systems of record for compliance, documentation, and audit readiness. Artificial intelligence (AI) is now extending QMS into systems of intelligence that augment decision-making, reduce cycle times, and enable more proactive quality management.

SIMATIC AX signals a shift from commissioning-driven PLC programming to a more deliberate, repeatable software lifecycle, helping teams deliver change faster, with greater confidence, across machines and plants.

Modern Zero Trust connectivity architectures can help industrial organizations reduce cyber risk, digitalize legacy OT assets, and support NIS2 and Cyber Resilience Act compliance.

The global industrial sector has reached a defining inflection point. A rigorous, multi-site analysis of the ARC Advisory Group Q4 2025 Industrial AI, Energy, and Robotics Survey reveals a market that has permanently fractured into what we call the "Digital Divide."

From an ARC perspective, the most significant observation is that digital twins are entering a new phase of maturity.

As manufacturers continue to move from digital transformation toward digital continuity, Siemens appears well positioned to support this transition.

Unlock the full potential of IT/OT/ET convergence by breaking down silos, securing data, and aligning technology.