Kontakt
Overview

Where AI strategy drives manufacturing performance

The 2026 Global AI Report for manufacturing reveals how leading manufacturers convert AI strategy into measurable operational and financial impact. Based on global executive research, the findings show that disciplined governance, core system reinvention and workflow integration separate AI leaders from laggards. Manufacturers that embed AI across production, planning and enterprise systems are widening the execution gap at scale.

Access the playbook

Highlights

FAQ

What defines an AI leader in manufacturing?

AI leaders in manufacturing have a well-defined AI strategy, mature or evolved AI adoption and measurable financial and operational impact. They move beyond pilots, embedding AI into production, planning and enterprise systems at scale.
Why is AI investment accelerating among leading manufacturers?
83.8% of AI leaders in manufacturing are increasing AI investment, reflecting confidence built through early operational wins. Leaders convert proof points into disciplined reinvestment that compounds performance gains.
What separates leading manufacturers from laggards?
Leaders rebuild core systems with embedded AI, centralize governance and redesign workflows end to end. Laggards rely on fragmented pilots and bolt-on solutions that limit scale and resilience.
Why is centralized governance critical in manufacturing?
67.6% of AI leaders in manufacturing follow centralized governance models. In asset-intensive, safety-critical environments, structured oversight enables faster scaling without increasing risk.
Where is AI creating the most value in manufacturing?
93.2% of AI leaders embed AI into operational workflows such as production, planning and engineering. Concentrating on high-impact domains allows leaders to drive measurable improvements in throughput, reliability and cost discipline.

Key findings

  • Leading manufacturers pair decisive execution with disciplined AI governance.
  • Centralized oversight enables AI to scale safely across plants and value chains.
  • AI leaders embed intelligence into core production and planning systems.
  • Operational workflows are redesigned end to end to turn pilots into plant-wide performance.
  • 83.8% of AI leaders in manufacturing are increasing AI investment.
  • 38.6% are rebuilding core systems with embedded AI.
  • 67.6% follow centralized AI governance to scale with control.
  • 93.2% embed AI directly into operational workflows.

AI is becoming the operating backbone of the enterprise. The manufacturers pulling ahead are the ones embedding AI into production, planning and engineering, governing it with discipline and scaling it across plants with confidence. That’s where real performance gains in throughput, resilience and margin are being unlocked."

Ranjeet Saudagar
Global Manufacturing Leader, NTT DATA
Insights

Additional insights for business leaders

  1. Strategic alignment
    AI leaders in manufacturing align AI initiatives tightly with plant-level and enterprise priorities.

  2. Disciplined scaling
    Leaders move beyond pilots, embedding AI into core operational platforms.

  3. Governed for growth
    Centralized oversight accelerates deployment while reducing operational and compliance risk.

  4. Operational performance
    Embedding AI into production and planning workflows drives measurable gains.

  5. Enterprise momentum
    Investment success fuels reinvestment, widening the execution gap.

  6. Actionable next steps
    Download the report to benchmark your AI maturity and scaling strategy.
Download

Get your copy of the 2026 Global AI Report: A playbook for manufacturing AI leaders

Ready to accelerate your journey to an AI-native state? Get your copy of the playbook and discover how to turn AI strategy into business strategy for growth.
Download the playbook

Copyright © 2024 NTT DATA, Inc.

Jetzt Kontakt aufnehmen