Denodo Cites Vector8 Study Claiming 290% ROI From AI Data Layer
The report also estimates agent deployment three times faster and AI operating costs cut by 68%, based on a model growing from 100 to 900 data sources.
Denodo publicized research from market research firm Vector8 on October 26, 2026, claiming that companies adopting a governed AI data layer achieve a 290% return on investment over three years, according to techm.kr.
The report, titled "ROI of an AI Data Layer for Agentic AI," also estimates that agent deployment is three times faster and AI operating costs fall by 68%. It models a company with 100 distributed data sources that grows to 900 by the third year.
In that model, the context payload per task drops from about 18,000 tokens to 5,760 tokens. Integration and governance costs fall by more than 75%, maintenance costs by 79% and policy management workload by 76%.
Andrew Milloy, a senior analyst at Vector8, is named as the report's author. Alberto Pan is Denodo's CTO.
Quick answers
What ROI does the Vector8 report claim for an AI data layer?
Vector8's report, publicized by Denodo, claims companies adopting a governed AI data layer achieve 290% ROI over three years.
Who wrote the report?
Andrew Milloy, a senior analyst at Vector8, is named as the report's author.