Green Quadrant: Enterprise AI Platforms (2025)

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Executive Summary

This report provides a detailed, fact-based benchmark of 11 of the most prominent enterprise AI platform providers in the market. Based on the proprietary Verdantix Green Quadrant methodology, our analysis included live briefings, customer interviews and vendor responses to a detailed 143-point questionnaire, covering 18 capability and nine momentum categories. This study finds that the enterprise AI platform market is evolving, as organizations prioritize stacks that scale beyond pilots, unify and govern diverse data, and embed AI directly into business workflows. Buyers seek platforms that move from insight to action through agents, copilots and low-code automation, improving productivity, risk management and compliance. Across data-centric, ontology-backed process automation and developer-oriented offerings, firms are converging on one goal: turning fragmented experimentation into repeatable, enterprise-wide value. Among the providers featured in the study, five firms – C3 AI, IBM, Palantir, Squirro and WRITER – placed in the Leaders’ Quadrant, demonstrating the most comprehensive enterprise AI capabilities.

Summary for decision-makers
How to use the Green Quadrant for enterprise AI platforms
The enterprise AI platform landscape comprises four distinct vendor archetypes
Green Quadrant for enterprise AI platforms
Green Quadrant methodology
Scope and methodology for the 2025 Green Quadrant enterprise AI platform study
Evaluated firms and inclusion criteria
Evaluation criteria for enterprise AI vendors
Appian overview
Appian is transitioning its long-established and capable low-code business process automation platform for the AI agent era
Automation Anywhere overview
Automation Anywhere joins other business process automation vendors in building an agentic-ready logic orchestration platform
C3 AI overview
C3 AI combines an agentic DataOps AI platform with battle‑tested domain applications
DataRobot overview
DataRobot blends a rich AutoML heritage with a production‑grade agentic AI stack for developer teams in regulated enterprises
Glean overview
Glean pairs its strong heritage in enterprise search with a solid agent‑first Work AI platform
IBM overview
IBM watsonx enables large organizations to build, govern and deploy trusted AI models within highly regulated environments
Kore.ai overview
Kore.ai delivers CCaaS‑hardened agentic automation with broad integrations and pragmatic governance
Palantir overview
Palantir's world-class DataOps platform underpins the most capable agentic AI for mission‑critical operations
Salesforce overview
Agentforce executes on its agentic enterprise vision via a mature AI ecosystem, developed partner network and rapidly evolving product
Squirro overview
Squirro punches above its weight with a laser focus on graph‑grounded retrieval and chunk‑level security at regulated scale
WRITER overview
WRITER combines frontier AI lab product development prowess with an enterprise-focused full‑stack agent platform

Figure 1. Four enterprise AI platform archetypes
Figure 2.
Capabilities criteria for enterprise AI platforms
Figure 3.
Momentum criteria for enterprise AI platforms
Figure 4.
Vendor category scores: capabilities
Figure 5.
Vendor category scores: momentum
Figure 6.
Green Quadrant for enterprise AI platforms 2025

About the Authors

Henry Kirkman

Henry Kirkman

Senior Analyst

Henry is a Senior Analyst in the AI Applied research team at Verdantix, specializing in enterprise AI platforms, agentic systems, industrial AI, document AI and graph database...

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Chris Sayers

Chris Sayers

Senior Manager

Chris is a Senior Manager at Verdantix. His current research agenda targets enterprise AI integration and adoption, AI market trends and agentic AI. Chris joined Verdantix in ...

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