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AI Officially Enters Factories: 90% of Manufacturers Admit Digital Transformation is Crucial for Competitiveness

From Liberty Times · () Chinese

Translated from Chinese and summarized by DistantNews. Read the original for the full story.

At a glance

News Named sources Context piece
  • 90% of manufacturers consider digital transformation essential for competitiveness, shifting focus from adoption to scalable implementation and quantifiable benefits.
  • AI is increasingly integrated into manufacturing, with 34% of operations using AI assistance and an expectation that over half will be AI-supported by 2030.
  • Cybersecurity remains a critical concern, with nearly half of manufacturers experiencing at least one security incident in the past year, highlighting the need for integrated IT/OT infrastructure.

The global manufacturing landscape is undergoing a profound digital transformation, with artificial intelligence (AI) and automation at its forefront. A recent report by Rockwell Automation reveals that a staggering 90% of manufacturers now view digital transformation not merely as an option, but as a fundamental requirement for maintaining competitiveness. This signifies a critical juncture where the industry is moving beyond the 'if' of adopting digital technologies to the 'how' of effective, large-scale implementation and demonstrable value creation.

As much as 90% of manufacturers believe that digital transformation has become a necessary condition for maintaining competitiveness.

· Rockwell AutomationHighlighting the critical importance of digital transformation for manufacturers.

The report indicates a significant shift from pilot testing to full-scale deployment, with 59% of manufacturers actively integrating smart manufacturing technologies into their daily operations. AI, in particular, is emerging as a core driver of future industrial competitiveness. Currently, one-third of manufacturing operations utilize AI-assisted technologies for quality management, cybersecurity, and process optimization. Projections suggest that by 2030, over half of all operational processes will be AI-supported, transforming AI from a supplementary tool into a foundational element of factory operations.

AI is seen as the core engine of the next wave of industrial competition.

· Rockwell AutomationEmphasizing the role of AI in future manufacturing competitiveness.

However, the path to digital maturity is not without its challenges. Despite the vast amounts of data being collected, only 43% is effectively utilized, indicating that the bottleneck is not data availability but the operational intelligence to convert data into actionable insights and decisions. Furthermore, cybersecurity has become an increasingly critical issue, with nearly half of manufacturers reporting at least one security incident in the past year. This escalating risk underscores the urgent need for secure, integrated IT/OT (Information Technology/Operational Technology) architectures to support the growing interconnectedness and automation within factories.

Manufacturers expect that by 2030, more than half of their operational processes will be supported by AI.

· Rockwell AutomationProjecting the future integration of AI in manufacturing operations.

Manufacturers are increasingly focusing their transformation investments on tangible outcomes such as improved product quality, cost reduction, risk mitigation, and enhanced Overall Equipment Effectiveness (OEE). This strategic shift towards long-term, execution-oriented investments, with a substantial portion of operational budgets allocated to industrial technology, signals a maturing approach to smart manufacturing. The industry's commitment to leveraging digital technologies, especially AI, is clear, setting the stage for a more efficient, secure, and competitive future.

The key limiting factor for enterprises is not 'data availability,' but whether enterprises have the operational intelligence to effectively utilize data and transform it into decision-making and execution capabilities.

· Rockwell AutomationIdentifying the challenge of data utilization in manufacturing.
About this summary

Originally published by Liberty Times in Chinese. Translated, summarized, and contextualized automatically by DistantNews, with a note on how the source frames the story. Not individually reviewed before publishing. How this works.