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

Across manufacturing, 60% of organizations have reached broad or advanced AI adoption, up sharply from 36% in Q1 2026. In CPQ specifically, 76% have embedded it into quoting workflows. The pilot pipeline is full. The frontier has moved from experimentation to daily execution. The question is what scales and what stalls.
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:
  • Where AI in CPQ is already embedded 
  • Why integration, not technology, is the real barrier 
  • The ROI problem: only 49% measure it
  • The AI confidence gap: C-suite vs. front-line reality
  • The latest macroeconomic outlook across US and DACH markets
  • Our top recommendations for a successful path to AI adoption
Find out where AI in CPQ software is already earning its keep and where the proof gap is costing teams their budget. 
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0 %
of complex manufacturers use AI or are actively piloting it. Only 17% haven’t started. 
0 %
have AI embedded in quoting workflows. 31% have it fully integrated. 
0 %
measure AI ROI rigorously. Everyone else is going on instinct. 
0 %
cite integration with ERP, PLM, and MES as the top barrier. Speed without integration creates new problems.