Analyst Reports

2026 Gartner® Magic Quadrant™ for Analytics and Business Intelligence Platforms

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2026 RECOGNITION

GoodData.AI recognized as a Visionary in the 2026 Gartner® Magic Quadrant™

We’re in the Magic Quadrant™ for BI and Analytics Platforms again!

GoodData.AI is positioned as a Visionary in the 2026 Gartner® Magic Quadrant™ for Analytics and Business Intelligence Platforms.

What we believe it means for your organization

We say selecting a Visionary platform means betting on a vendor aligned with the direction the market is moving. For enterprises building agentic workflows, embedding analytics into products, or modernizing BI infrastructure, this alignment matters.

“The future of analytics is agentic, composable, and code-first. Our investments in the largest repository of extensible AI skills, API, CLI, and MCP-first capabilities, and semantic governance are converging into a platform built for exactly this moment.”
Roslyn Lee
Roman Stanek CEO & Founder, GoodData.AI

About the report

Why technology leaders use the Gartner® Magic Quadrant™

A Gartner Magic Quadrant is a culmination of research in a specific market, giving you a wide-angle view of the relative positions of the market's competitors. By applying a graphical treatment and a uniform set of evaluation criteria, a Magic Quadrant helps you quickly ascertain how well technology providers are executing their stated visions and how well they are perfoming against Gartner's market view.

  • Independent, expert evaluation

    20 ABI platform vendors assessed by Gartner analysts based on Ability to Execute and Completeness of Vision.

  • Strengths and cautions

    In-depth vendor-level analysis to help data and technology leaders guide platform selection decisions.

  • Strategic market insights

    Insight into market trends, product capabilities, and vendor strategic vision across the ABI platform landscape.

Gartner, Magic Quadrant for Analytics and Business Intelligence Platforms, Anirudh Ganeshan, Christopher Long, Edgar Macari, 29 June 2026

Gartner, Magic Quadrant, and Peer Insights are trademarks of Gartner, Inc. and/or its affiliates.

Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences with the vendors listed on the platform, should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from GoodData.

Platform capabilities

Where GoodData.AI leads & what we believe the Gartner evaluation reflects

Agentic assistant and governed AI workflows 

The Agentic Assistant uses metadata, multi-step reasoning, and analytical skills through an explainable chat interface. AI agents can securely query governed semantic models across structured data and approved unstructured content while operating within enterprise controls.

Agentic Assistant
AI Skills
MCP Server

Governed semantic foundation

A reusable, governed semantic layer that supports consistent metric definitions across dashboards, embedded applications, and APIs. A governed semantic execution layer for AI agents that centralizes insight development by applying software engineering practices to analytics delivery.

Headless Semantic Layer
Metric Governance
API
SDK

Composable analytics and analytics-as-code

GoodData.AI's strongest supported use case is composable analytics and AI. A robust suite of programming interfaces and a universal semantic layer allows organizations to seamlessly inject highly customized, modular analytics components, tools and agents, into existing digital environments and operational workflows while maintaining centralized code-centric governance.

API-First
Analytics as Code
CI/CD
Multi-Tenant

Embedded analytics and insight delivery

A multi-tenant architecture and governance model well-suited for large-scale embedded analytics deployments, particularly in regulated industries requiring isolation and consistency across regions. The headless semantic layer serves business intelligence, data science, and external SaaS applications and AI agents through extensive APIs, SDKs, and MCP servers.

Embedded Analytics
White-Label
Multi-Tenant
Kantata
Fuel Studios
Boozt
Zartico
Blackhyve
MSX International

Common questions

The Gartner Magic Quadrant for Analytics and Business Intelligence Platforms is an research report that evaluates BI and analytics vendors based on two dimensions: Completeness of Vision and Ability to Execute. It helps data and technology leaders compare platforms and make informed vendor selection decisions.

Visionaries understand where the market is going or have a vision for changing market rules, but do not execute well.

You can download a complimentary copy of the 2026 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms using the form on this page.

A Magic Quadrant provides a graphical competitive positioning of four types of technology providers, in markets where growth is high and provider differentiation is distinct. A Magic Quadrants help you get quickly educated about a market’s competing technology providers and their ability to deliver on what end users require today and in the future.

Vendors are placed in one of four quadrant, Leaders execute well against their current vision and are well positioned for tomorrow, Visionaries understand where the market is going or have a vision for changing market rules, but do not yet execute well, Niche Players focus successfully on a small segment, or are unfocused and do not out-innovate or outperform others, and Challengers execute well today or may dominate a large segment, but do not demonstrate an understanding of market direction. Keep in mind that focusing on the leaders’ quadrant isn’t always the best course of action. There are good reasons to consider market challengers. And a niche player may support your needs better than a market leader. It all depends on how the provider aligns with your business goals.

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Ready to see where GoodData.AI is positioned?

Download the complimentary 2026 Gartner® Magic Quadrant™ for Analytics and Business Intelligence Platforms.