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You Can't Scale AI on Ambition Alone. 

Adoption is settled. Turning it into results is not. New research from 500 manufacturing technology leaders shows what separates manufacturers who scale from those who stall.
Abstract composition of metal and geometric components interconnected by lines, resembling a technical blueprint or machine diagram, with a mix of orange, gray, and silver colors—evoking the complexity and precision found in AI Product Lifecycle Management systems.

The AI boom is over.
Execution is the differentiator now.

92% of manufacturers have moved beyond exploration. In just six months, from Q1 to Q3 2026, the share of broad or advanced AI adoption jumped from 36% to 60%. The frontier has moved from experimentation to daily execution. The question now isn’t whether manufacturers are adopting AI. It’s whether the investment converts into measurable capability.
This report tells you what’s happening on the ground where AI is actually working, where it isn’t, and what the manufacturers pulling ahead are doing differently.
What you’ll find inside:
  • Why adoption is no longer the differentiator
  • Where AI is already embedded in manufacturing workflows
  • The ROI problem: why proof is harder than investment
  • The data-quality barrier no one is talking about enough
  • The latest macroeconomic outlook across US and DACH markets
  • Our top recommendations for a successful path to AI adoption
See how the manufacturers leveraging AI correctly are getting ahead of the competition.
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0 %

of manufacturers are at broad or advanced AI adoption, up from 24% just two quarters ago.

0 %
raised software budgets in the past year. AI transformation is the leading driver.
0 %
measure AI ROI rigorously. Everyone else is going on instinct.
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are accelerating AI specifically to offset tariff and cost pressure.