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GARTNER® MARKET OVERVIEW FOR AI CONTEXT PLATFORMS

Context leads to 80% higher agentic accuracy and 60% lower cost

Fewer than 1 in 10 agentic AI projects captures strong ROI, says Gartner. Read their first guide to building production-ready AI with context, free.

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Gartner Market Overview for AI Context Platforms — page 1
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“AI context platforms are the most critical enabling tech for 2027.”

Gartner, Emerging Tech Impact Radar: Generative AI, August 2026

INSIDE THE REPORT

The anatomy of an AI context platform

01
DEFINITION

What counts as a context platform?

What role do semantic layers, ontologies, and knowledge graphs play in an AI context platform, and how are they different?

02
CAPABILITIES

What features should every AI context platform have?

Should knowledge ingestion and context mining be automated? How is context delivered at runtime through open protocols? Can context be versioned? This is your evaluation checklist.

03
VENDORS

What does the context market map look like?

Who are the vendors in play, and where did each start? Atlan is among the leading vendors named, voted the top emerging context solution at the Gartner D&A Summit.

WHO IT’S FOR

Written for the people answering for AI results

AI & Data Leaders

Make the case for agents that actually reach production.

Inside the report:

  • The ROI number behind the agentic AI value gap
  • The 2027 accuracy and cost planning assumption
  • What to budget beyond the platform license

Enterprise Architects

Design the layer between your data and your agents.

Inside the report:

  • The nine mandatory platform features
  • Why MCP access is a core architectural requirement
  • Per-agent assembly vs. a dedicated platform

Chief Data Officers

Turn platform work into something agents can use.

Inside the report:

  • Context as a first-class enterprise asset
  • The standardization call for 2028
  • Where governance moves at retrieval time
INDUSTRY RECOGNITION

Recognized across Gartner and Forrester

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