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From proliferation to precision: Engineering the next phase of manufacturing AI
As manufacturers progress from pilots to full-scale integration, the focus moves to stability, efficiency, and measurable ROI. Organizations that invest in flexible, cost-efficient compute and reliable data infrastructure will be best positioned to accelerate AI adoption, strengthen operational resilience, and capitalize on the next wave of industrial innovation.
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Unlocking the Power of AI in Manufacturing: 2025 Benchmark Report
Manufacturers reveal the key barriers and breakthroughs shaping their progress toward scalable, high-impact AI.
Manufacturers are taking a deliberate, outcome-driven approach to AI adoption while working to modernize systems and integrate data across global operations. Many cite compute performance, connectivity limitations, and cost efficiency as the primary barriers slowing progress to AI maturity.
Still, manufacturers remain optimistic about their trajectory. 94% expect to be at the Accelerated or Transformational AI stages in the next two years, with the next leap centered on optimizing compute and data pipelines to better connect digital systems and physical operations, unlocking gains in efficiency, quality, and resilience.
