PLTR/platform/Enterprise AI Platform Market Share — Who's Actually Winning

Enterprise AI Platform Market Share — Who's Actually Winning

1.6%Market Share25 revenue represents roughly 1.6% market share in 6sense's 'big data analytics' catego

The widely-cited Menlo Ventures survey showing Anthropic (40%), OpenAI (27%), Google (21%) measures LLM API spend — a $12.5B market where model providers compete on intelligence, pricing, and latency. This is a fundamentally DIFFERENT market from 'enterprise AI platforms' where Palantir competes. The enterprise AI market has at least four distinct layers: (1) Foundation Model APIs ($12.5B, 2025) — Anthropic, OpenAI, Google, Meta; (2) Data/ML Infrastructure ($5.5B) — Databricks, Snowflake, MongoDB; (3) AI Application Platforms (~$28-50B depending on definition) — Palantir, C3.ai, IBM, DataRobot, Dataiku; and (4) AI-Enabled Enterprise Software ($19B+ gen AI applications) — ServiceNow, Salesforce, Microsoft Copilot. Palantir operates primarily at Layer 3 — the 'decision intelligence' / 'operational AI' layer that sits ABOVE model APIs and BELOW end-user applications.

However, Palantir is notably ABSENT from the Gartner Magic Quadrant for Data Science and ML Platforms (2025), which is dominated by Databricks, Google, AWS, Microsoft, IBM, Dataiku, DataRobot, and Altair. The critical investor question: does the Menlo Ventures LLM layer cannibalize Palantir's application layer, or does it feed it?

Competitive Comparison
SnowflakeEnterprise AI market has 4 distinct competitive layers: (1) Foundation Model APIs — $12.5B in 2025 (Anthropic, OpenAI, Google); (2) Data/ML Infrastructure — Databricks $5.4B ARR, Snowflake $4.68B r...
Databricks6sense data: Palantir holds 1.60% market share in 'big data analytics' category, ranked #12, with ~1,600 customer installations. Top 3: Databricks 17.88%, Azure Databricks 17.19%, Microsoft Azure S...
C3.aiVerdantix Green Quadrant Enterprise AI Platforms (Dec 2025): 5 Leaders identified — C3.ai, IBM, Palantir, Squirro, WRITER. 11 vendors evaluated across 18 capability categories and 9 momentum catego...
ServiceNowEnterprise AI market has 4 distinct competitive layers: (1) Foundation Model APIs — $12.5B in 2025 (Anthropic, OpenAI, Google); (2) Data/ML Infrastructure — Databricks $5.4B ARR, Snowflake $4.68B r...
Microsoft6sense data: Palantir holds 1.60% market share in 'big data analytics' category, ranked #12, with ~1,600 customer installations. Top 3: Databricks 17.88%, Azure Databricks 17.19%, Microsoft Azure S...

Why This Matters

Enterprise generative AI spending hit $37B in 2025 (3.2x YoY from $11.5B). Application layer captured $19B (51%) vs infrastructure layer $18B (49%). Applications split: Departmental AI $7.3B, Horizontal AI $8.4B, Vertical AI $3.5B. Infrastructure split: Foundation Model APIs $12.5B, Model Training $

The key question

Will Forrester or Gartner publish an updated AI/ML Platforms or Decision Intelligence evaluation in 2026 that includes Palantir?

Open questions

?As LLM APIs become commoditized (prices dropping), does more value accrue to the application/decision layer where Palantir operates?
?Does Palantir's absence from the Gartner DSML MQ hurt enterprise sales, or do buyers in Palantir's target market use different analyst frameworks?
?What is Palantir's true revenue-based market share within the 'decision intelligence' segment specifically?
?Will the agentic AI wave (Gartner's 40% of apps by 2026) create new competitors or expand Palantir's addressable market?