AI Product Series
Where Enterprise AI Adoption, Spending, and ROI Are Actually Going
The AI Product Series delivers a product-level view of AI adoption, usage, and spending trends across enterprise IT. This semi-annual research goes straight to validated technology leaders, so you can see what is actually being evaluated, purchased, and rolled out, not what vendors claim. The March 2026 wave is now live, with new data on internal AI application development and the tool stack behind it.
What It Covers
The AI Product Series tracks adoption, purchase behavior, and value perception across the enterprise AI stack:
- Foundation models and model strategy, including procurement channels, multi-model adoption, and current usage of OpenAI, Anthropic, Google Gemini, and others.
- AI development and orchestration platforms, hosting environments, and vector databases.
- Identity, access control, monitoring, and observability for AI.
- Governance frameworks and AI-specific security spend.
- ROI realization, budget allocation, and inference cost management.
- Use cases, KPIs, and the production maturity gap between internal and customer-facing AI applications.
- Build-versus-buy strategy and respondent commentary on the shift toward AI as a strategic moat.
Vendors tracked span foundation models, productivity copilots, AI development and orchestration services, and AI-specific security and observability platforms, with wave-over-wave comparisons that show how the market is shifting.
March 2026 Edition — Available Now
The latest wave of the AI Product Series is live. This edition focuses on initiatives to build internal AI applications and the tool stack leveraged to do so. The data reveals how AI budgets are normalizing into predictable growth ranges, where the ROI profile is improving as deployments mature, which foundation models are gaining share, and how AI-specific security spend is reshaping enterprise priorities.
Download the Executive Summary — Free
What Makes It Different
Real purchase behavior, not intent. ETR tracks evaluation-to-purchase conversion rates, seat-weighted growth expectations, and value-for-cost ratings — so you see what's actually happening in enterprise buying cycles.
Longitudinal data that shows the trend. Every edition compares back to prior periods, giving you a clear picture of how sentiment, spending, and adoption are moving over time — not just a snapshot.
The sample quality others can't match. 28% of respondents are from Global 2000 organizations. 79% hold C-Suite or Director-level titles. This is where the decisions get made.
Straight from Technology Leaders
We eliminate bias and increase speed-to-market by cutting out the middleman and going straight to the voice of the customer