HFS Research

HFS Research launching Data Intelligence Suite providing enterprise intelligence across AI, GCCs, buyer sentiment, and pricing

Leadership read: HFS Research has committed itself to a data-product business model that sits alongside, and partially in tension with, its legacy advisory and analyst subscription model. Packaging proprietary datasets on AI adoption, global capability centres, buyer sentiment, and pricing into a structured intelligence suite is not an editorial decision; it is an infrastructure decision. The firm now has to maintain data pipelines, version datasets, manage commercial licensing terms, and deliver product-grade reliability rather than analyst-grade narrative. That is a materially different operating posture, and one that exposes gaps between research-firm capabilities and data-product expectations. This is one of 12 product-launch signals we have tracked across the last 90 days, though the comparables here are diffuse. Userbot.ai's enterprise conversational AI release and Prismm's Deposit Mortality Index are the closest structural analogues, both involving proprietary datasets packaged as standing intelligence products rather than one-off deliverables. The pattern across B2B intelligence and research-adjacent firms is consistent: competitive pressure from AI-native data vendors is forcing traditional advisory firms to productise their proprietary datasets or risk commoditisation of their core research. Across firms making this transition, the functional pressure concentrates in three areas: product management capable of bridging data engineering and enterprise buyer workflows; commercial leadership with data-licensing and recurring-revenue experience rather than project-sales heritage; and GTM functions able to sell structured data products into procurement and strategy functions simultaneously.

curated · 2026-04-28 · context →