Building the AI Stack: How Enterprises Gain an Edge

Building the AI Stack: How Enterprises Gain an Edge

ETR’s September 2025 AI Product Series reveals how enterprises are designing the building blocks of in-house AI and which technologies are most likely to appear together in production. The AI Product Stack Report exposes how vendor ecosystems, model choices, and orchestration layers are shaping enterprise AI strategy.

Key Themes:

  1. Cloud Ecosystems Still Dominate — but Integration Boundaries Are Shifting
    Enterprises continue to rely heavily on unified cloud ecosystems. Microsoft, Amazon, and Google users overwhelmingly stay within their own AI environments when building applications. Yet the September data shows increasing overlap between Databricks and Microsoft, and new combinations across Snowflake and Datadog — evidence that interoperability is becoming a competitive necessity.
  2. Snowflake Emerges as an AI Platform Ecosystem
    Beyond the public cloud providers, Snowflake stands out as a fast-maturing ecosystem in its own right. The data shows multiple high-frequency pairings among Snowflake Cortex, Cortex Search, and Snowflake ML — a sign that enterprises are standardizing around Snowflake’s AI-ready data foundation.
  3. Open-Source Observability Tools Keep Rising
    Open-source combinations like Grafana and Prometheus remain strong, particularly in observability. These pairings show that while AI stacks are consolidating at the top, innovation continues at the edges where cost efficiency and transparency matter most.
  4. The Bigger Picture: AI Investment Accelerates
    Across ETR’s broader AI Product Series Findings Report, 84% of enterprises plan to increase spending on in-house AI development over the next year, with nearly half now allocating more than 10% of their IT budgets to these initiatives.

Conclusion / CTA:
The AI Product Series is built from insights shared by 600 technology leaders across the ETR community. It reveals how enterprise AI is evolving — what’s converging, what’s fragmenting, and where competitive advantage is forming.

 

Download the summary to get highlights from the full September 2025 AI Product Series Report.

 

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