2026 STATE OF THE INDUSTRY — AEROSPACE & DEFENSE

The Governance Imperative: Export Control, Long Cycles, and Estimation Under Constraint

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.

15 Segment Briefs

Industry
  • IT & Software Development
  • Manufacturing
  • Transportation & Logistics
  • Healthcare & Pharmaceuticals
  • Energy & Utilities
  • Automotive Manufacturing
  • Aerospace & Defense
Topic
  • AI Adoption & Governance
Market
  • European Union
  • United Kingdom
  • North America
  • Australasia
Function
  • Engineering & Tech Leaders
  • Finance & Procurement Leaders
  • Program & Ops Leaders

SEGMENT EXCERPT

Segment Snapshot

The magnitude of divergences observed in Aerospace and Defense versus other industries is striking. Multiple findings exceed 40 percentage points, a scale of difference that rarely appears elsewhere in the survey and points to structural differences in how estimation operates in heavily regulated, long-cycle, export-controlled environments.

Respondent composition: 63.6% in leadership roles (Chief Financial Officer, Chief Operations Officer, Director level) and 36.4% as senior practitioners. Geographic distribution spans Germany (3), the United Kingdom (3), the United States (2), plus single respondents from Canada, France, and Switzerland. Functional representation tilts toward finance and operations leadership—three finance executives and two senior operations managers—reflecting the budget and planning authority required to commission estimation infrastructure.

The Aerospace & Defense sector generates the most extreme divergences in the entire survey. Annual estimation re-baselining cycles, near-total reliance on low-automation processes, and the highest observed rates of export-controlled data usage define a segment where estimation operates under constraints no other industry faces at the same intensity.

Table of Contents

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Segment Snapshot Reading now

Segment Snapshot

The magnitude of divergences observed in Aerospace and Defense versus other industries is striking. Multiple findings exceed 40 percentage points, a scale of difference that rarely appears elsewhere in the survey and points to structural differences in how estimation operates in heavily regulated, long-cycle, export-controlled environments.

Respondent composition: 63.6% in leadership roles (Chief Financial Officer, Chief Operations Officer, Director level) and 36.4% as senior practitioners. Geographic distribution spans Germany (3), the United Kingdom (3), the United States (2), plus single respondents from Canada, France, and Switzerland. Functional representation tilts toward finance and operations leadership—three finance executives and two senior operations managers—reflecting the budget and planning authority required to commission estimation infrastructure.

The Aerospace & Defense sector generates the most extreme divergences in the entire survey. Annual estimation re-baselining cycles, near-total reliance on low-automation processes, and the highest observed rates of export-controlled data usage define a segment where estimation operates under constraints no other industry faces at the same intensity.

Headline Divergences 
The Annual Cycle Reality 
Export Control as the Defining AI Constraint
The Automation Floor
Strategic Considerations 
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