R0042/2026-04-01/Q001/SRC03/E01¶
KPMG quarterly survey data on enterprise AI investment and security constraints
URL: https://kpmg.com/us/en/articles/2025/ai-quarterly-pulse-survey.html
Extract¶
Key findings from the KPMG AI Quarterly Pulse Survey 2025:
- Average enterprise AI spending climbed from $114M (Q1) to $130M (Q3) in 2025
- 59% of enterprises expect measurable ROI within 12 months
- Agent deployment surged from 11% (Q1) to 26% (Q4)
- System complexity emerged as #1 bottleneck, surpassing previous concerns
- Cybersecurity risks spiking as autonomous agents proliferate
- Data privacy emerging as prerequisite for enterprise-wide operations
- Data quality now essential for safe agent deployment
- Organizations adopting "trust-first architecture" as foundational requirement
Strategic priorities ranked: 1. Making reliability the key performance indicator 2. "Platformizing" infrastructure (data pipelines, observability, policy enforcement) 3. Redesigning organizational roles and human-agent collaboration metrics 4. Elevating board-level governance and oversight 5. Deliberately resuming scale with controls in place
Relevance to Hypotheses¶
| Hypothesis | Relationship | Strength |
|---|---|---|
| H1 | N/A | Does not address ranked private deployment motivations |
| H2 | Supports | Confirms security/privacy as top enterprise AI concerns, consistent with private deployment rationale |
| H3 | Contradicts | Substantial survey data exists on enterprise AI challenges |
Context¶
While KPMG does not explicitly address on-premises vs. cloud, the identification of cybersecurity, data privacy, and data quality as intensified constraints provides the demand-side evidence for why enterprises would choose private deployment.