Skip to content

R0042/2026-03-28/Q001 — Query Definition

Query as Received

What are the documented reasons why enterprises build private or on-premises AI systems rather than using third-party AI vendors? Look for industry surveys (McKinsey, Gartner, Deloitte, KPMG, Forrester) that rank enterprise motivations for private AI deployment. What is the full list of reasons and how are they prioritized?

Query as Clarified

  • Subject: Enterprise organizations deploying AI systems on private/on-premises infrastructure
  • Scope: Documented and surveyed motivations for choosing private AI over third-party vendor solutions
  • Evidence basis: Industry analyst surveys (McKinsey, Gartner, Deloitte, KPMG, Forrester), vendor whitepapers, and enterprise technology publications from 2024-2026
  • Temporal sensitivity: High — the private AI landscape is evolving rapidly with sovereign AI initiatives, EU AI Act enforcement, and shifting cloud economics

Ambiguities Identified

  1. "Private AI" can mean different things: fully on-premises deployment, private cloud, hybrid cloud with private AI workloads, or sovereign AI infrastructure. The query does not specify which definition to use. Resolution: treat all non-public-API deployment models as "private AI."
  2. "Ranked" motivations assumes surveys present ordered lists. Some surveys report percentages without explicit rankings. Resolution: report both explicit rankings where available and frequency-of-mention across sources.
  3. The query asks for "the full list" which implies comprehensiveness. Resolution: compile a composite list from all sources rather than relying on any single survey.

Sub-Questions

  1. What do major consulting firms (McKinsey, Gartner, Deloitte, KPMG, Forrester) report as the top reasons enterprises deploy private AI?
  2. What do enterprise technology vendors (VMware, SUSE, TrueFoundry, etc.) identify as customer motivations for on-premises AI?
  3. Is there a consensus ranking across sources, or do different surveys emphasize different motivations?
  4. What percentage of enterprises are choosing or planning to choose private AI deployment?

Hypotheses

ID Hypothesis Description
H1 Comprehensive documented list exists with clear ranking Multiple industry surveys provide a consistent, ranked list of enterprise motivations for private AI, with data sovereignty and security at the top
H2 No consensus ranking exists Enterprise motivations are documented but fragmented across sources with no consistent prioritization
H3 Partial consensus with variation by industry A core set of motivations is consistently documented (data sovereignty, security, compliance) but prioritization varies by industry, region, and survey methodology