---
title: "Teradata study shows 7% of enterprises reach agentic AI scale stage"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/291933249.md"
description: "A July 2026 Teradata study reveals that only 7% of enterprises have reached the 'Operationalizing' stage for agentic AI, with most remaining in early phases. Despite high investment expectations from 90% of companies, returns are limited. Key constraints include data context fragmentation, where 77% report insufficient agent-ready data, and a weak pilot-to-production conversion rate, with 40% failing to scale."
datetime: "2026-07-07T12:33:27.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/291933249.md)
  - [en](https://longbridge.com/en/news/291933249.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/291933249.md)
---

# Teradata study shows 7% of enterprises reach agentic AI scale stage

-   Teradata published a Wakefield study on July 7, 2026, finding enterprise agentic AI deployments are stalling before scaling. \* Only 7% of global enterprises reached “Operationalizing,” while 68% remain in early stages with limited business impact. \* Investment plans remain high, with 90% expecting to raise spending, yet 63% report only small or emerging returns. \* Data “context fragmentation” emerged as a key constraint: 77% say 20% or less of enterprise data is agent-ready. \* Pilot-to-production remains weak: 40% report over 40% of AI pilots fail to reach production; only 15% convert 80% or more. Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Teradata Corporation published the original content used to generate this news brief via PR Newswire (Ref. ID: CL98747) on July 07, 2026, and is solely responsible for the information contained therein. © Copyright 2026 - Public Technologies (PUBT)

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