Rockwell Automation says manufacturers across the Middle East are emerging as global leaders in industrial AI adoption and digital transformation, according to regional findings from its latest State of Smart Manufacturing Report. The study suggests the region is moving beyond experimental digital initiatives into large-scale operational deployment, with manufacturers aggressively investing in AI, digital twins, industrial cybersecurity, and workforce modernization to strengthen competitiveness in advanced manufacturing.

The findings point to a broader shift underway across the global industrial economy. As manufacturers face mounting pressure around efficiency, resilience, supply chain complexity, and labor shortages, digital transformation is increasingly becoming a core operational strategy rather than a standalone IT initiative. In the Middle East, that transition appears to be happening faster than in many other regions.

Middle Eastern manufacturers are rapidly positioning themselves at the forefront of industrial AI and smart manufacturing adoption, according to new research released by Rockwell Automation. The company’s annual State of Smart Manufacturing Report found that 98% of manufacturers in the region now view digital transformation as essential to future competitiveness — a figure that exceeds reported levels in Europe, the United States, and global averages.

The report reflects growing momentum across Gulf economies and regional industrial sectors as governments and enterprises accelerate diversification strategies aimed at reducing dependence on traditional energy revenues while building advanced industrial ecosystems.

“Manufacturers in the Middle East are not just adopting digital technologies, they are scaling them at pace,” said Ediz Eren.

That scaling effort is increasingly centered around industrial AI.

According to the report, artificial intelligence adoption in the region has reached near-universal levels, with almost all surveyed manufacturers either actively deploying AI technologies or planning implementation initiatives. Generative AI, in particular, is becoming embedded across industrial environments rather than remaining limited to pilot programs or isolated experimentation.

The transition reflects broader global movement toward AI-enabled industrial operations, where manufacturers are integrating machine learning, predictive analytics, and intelligent automation directly into operational technology systems.

Major industrial technology providers including Microsoft, Siemens, IBM, and Google continue investing heavily in industrial AI platforms designed to optimize production environments, predictive maintenance, supply chain coordination, and operational efficiency.

What distinguishes the Middle East, however, is the speed and scale of implementation.

Rockwell Automation found that manufacturers in the region are allocating nearly 30% of operating budgets toward industrial technology investments. That level of spending suggests digital modernization is increasingly viewed as a strategic business imperative rather than a discretionary innovation initiative.

The report also indicates that organizations are prioritizing AI deployments tied directly to measurable operational outcomes. Instead of focusing primarily on experimentation, manufacturers are applying AI to production efficiency, quality control, cybersecurity monitoring, and process optimization.

That operational focus aligns with broader enterprise technology trends. According to Gartner, industrial organizations are increasingly demanding AI projects demonstrate tangible ROI and productivity improvements before scaling investment further.

The Middle East’s approach appears heavily outcome-oriented.

Rockwell Automation’s findings suggest AI and machine learning technologies are already being viewed as some of the highest-return investment categories across regional manufacturing sectors. That focus on measurable performance is accelerating adoption of intelligent automation systems capable of improving resilience and decision-making in highly connected industrial environments.

At the same time, the report highlights a growing tension emerging across global manufacturing markets: workforce readiness.

As AI, automation, and digital systems become more deeply integrated into industrial operations, manufacturers are encountering increasing pressure around reskilling, talent acquisition, and organizational adaptation. Rockwell Automation identified workforce capability and change management as major constraints affecting the next phase of digital transformation efforts.

That challenge extends well beyond the Middle East. Analysts at McKinsey & Company have repeatedly warned that industrial AI adoption will require significant workforce restructuring and continuous reskilling initiatives as operational roles evolve alongside intelligent automation systems.

Manufacturers in the region are responding by expanding workforce development programs and placing greater emphasis on digital and AI-related skill sets. The report suggests industrial organizations increasingly view AI literacy as foundational to future manufacturing competitiveness.

Cybersecurity also remains a major concern as industrial connectivity expands.

The rise of connected operational technology environments has increased exposure to cyber threats targeting manufacturing systems, supply chains, and industrial infrastructure. While regional investment in cybersecurity remains high, the report notes that organizations continue balancing operational efficiency with the growing complexity of securing interconnected industrial ecosystems.

That issue has become particularly important as industrial control systems become more integrated with cloud infrastructure, IoT networks, and AI-powered analytics platforms.

Another area seeing rapid growth is digital twin adoption.

Rockwell Automation found that manufacturers across the Middle East are investing heavily in simulation technologies designed to model production environments, optimize workflows, and reduce operational risk before implementing physical changes on factory floors.

Digital twins have become one of the fastest-growing industrial technology categories globally. Platforms from NVIDIA, Siemens, and Microsoft increasingly allow manufacturers to create real-time virtual representations of industrial systems for testing, monitoring, and predictive analysis.

The Middle East appears to be adopting those technologies at a faster pace than many other regions.

Still, the report suggests one major challenge remains unresolved: data utilization.

Despite generating massive volumes of operational data, many manufacturers continue struggling to translate that information into actionable business intelligence. Bridging the gap between data collection and decision-making remains one of the most significant barriers to maximizing AI and automation investments globally.

For industrial organizations, the ability to operationalize data effectively may determine whether current digital transformation momentum translates into long-term competitive advantage.

Taken together, the findings indicate the Middle East is emerging not merely as a participant in global industrial transformation, but increasingly as a driver of how AI-enabled manufacturing infrastructure evolves at scale.

Market Landscape

The industrial automation and smart manufacturing sector is entering a new growth phase driven by AI adoption, predictive analytics, industrial IoT expansion, and digital twin technologies. Manufacturing organizations worldwide are accelerating investment in operational intelligence systems designed to improve efficiency, resilience, and supply chain responsiveness.

Major industrial technology vendors including Rockwell Automation, Siemens, Honeywell, and Schneider Electric continue expanding AI-powered industrial software ecosystems across manufacturing, energy, logistics, and infrastructure sectors.

According to IDC, global spending on industrial AI and smart manufacturing technologies is expected to increase substantially through 2028 as enterprises prioritize automation, cybersecurity, predictive maintenance, and operational efficiency.

The Middle East’s rapid adoption trajectory reflects wider regional efforts to build advanced industrial economies supported by digital infrastructure, AI innovation, and next-generation manufacturing capabilities.

Top Insights

• Rockwell Automation’s report found Middle Eastern manufacturers leading globally in digital transformation commitment, with 98% identifying industrial modernization as strategically essential.
• AI adoption across the region has reached near-universal levels, with manufacturers integrating machine learning and generative AI into operational technology systems and production environments.
• Regional manufacturers are investing heavily in digital twins, predictive analytics, and industrial cybersecurity as part of broader smart manufacturing infrastructure strategies.
• Workforce readiness and change management are emerging as major challenges as industrial organizations scale AI-powered systems across connected manufacturing operations.
• The Middle East is increasingly positioning itself as a global leader in operational AI deployment, advanced manufacturing modernization, and industrial digital transformation execution.

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