2026 STATE OF THE INDUSTRY — MANUFACTURING
The ERP Stronghold: Process Maturity Meets AI Uncertainty
Organizations enter 2026 with more data, more tools, and more visibility than ever, yet they struggle to translate that into reliable plans.
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One full report and analysis.
15 segment briefs.
The full report offers insights and analysis into global cost, schedule, and risk trends, from AI to parametric modeling. 15 segment briefs provide deep dives into a single industry, region, and functions.
2026 REPORT
The Governance Imperative: Cost,
Schedule, and Risk Under Global Uncertainty
15 Segment Briefs
- IT & Software Development
- Manufacturing
- Transportation & Logistics
- Healthcare & Pharmaceuticals
- Energy & Utilities
- Automotive Manufacturing
- Aerospace & Defense
- AI Adoption & Governance
- European Union
- United Kingdom
- North America
- Australasia
- Engineering & Tech Leaders
- Finance & Procurement Leaders
- Program & Ops Leaders
SEGMENT EXCERPT
Segment Snapshot
Manufacturing seniority split evenly: 53.3% leaders and 46.7% practitioners. Geography concentrated in Western Europe and North America—6 respondents from the United States, 5 from Germany, and 2 from France. Respondents held roles including Senior Manager of Operations (4), finance executives (2), and other manufacturing and supply chain leadership positions.
Manufacturing shows three defining characteristics: the highest ERP reliance in the survey, the strongest on-time estimation delivery rate, and the greatest concern about AI output accuracy. These characteristics tell a story of a segment that trusts its established processes and is deeply skeptical about whether artificial intelligence can meet the same standard of reliability.
Table of Contents
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Manufacturing seniority split evenly: 53.3% leaders and 46.7% practitioners. Geography concentrated in Western Europe and North America—6 respondents from the United States, 5 from Germany, and 2 from France. Respondents held roles including Senior Manager of Operations (4), finance executives (2), and other manufacturing and supply chain leadership positions.
Manufacturing shows three defining characteristics: the highest ERP reliance in the survey, the strongest on-time estimation delivery rate, and the greatest concern about AI output accuracy. These characteristics tell a story of a segment that trusts its established processes and is deeply skeptical about whether artificial intelligence can meet the same standard of reliability.
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