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Gartner® Emerging Tech: AI-Native Databases Must Extend Beyond Vector or Risk Irrelevance

According to Gartner®, by 2029, standalone vector databases will fail to command more than 1% of the overall DBMS market revenue, making them a permanent niche category.

View a complimentary copy of the Gartner Emerging Tech report to learn why buyers of modern DBMS platforms are prioritizing multi-workload support along with seamless integration and workflows across AI-native database platforms.

Discover why established DBMS vendors with solutions that include embedded vector and AI capabilities will gain an advantage over niche players.

 

Figure_1_Critical_Insights_for_AINative_DBMSs

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 YugabyteDB.

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

Gartner, Emerging Tech: AI Vendor Race: AI-Native Databases Must Extend Beyond Vector or Risk Irrelevance, Robin Schumacher, Adam Ronthal, 20 January 2026

View A Complimentary Copy of the Report

Why Choose YugabyteDB For Your AI Workloads?

Trusted by industry leaders including Shopify, Fiserv, and GM, YugabyteDB is an AI-ready, multi-modal, distributed PostgreSQL database that provides on-demand scalability and built-in resilience for cloud-native applications.

Want to build the next generation of AI-powered applications with powerful vector search and distributed SQL?

Using the PostgreSQL pgvector extension, YugabyteDB functions as a highly performant vector database, capable of storing and searching billions of vectors.

YugabyteDB’s modern Gen AI infrastructure combines massive scalability, low-latency vector search, and robust SQL capabilities, allowing developers to create intelligent, data-driven apps with confidence.

Whether you’re enhancing a chatbot by adding real-time knowledge or scaling a business-critical global system to millions of users, a distributed SQL database like YugabyteDB could be the key to unlocking performance and reliability.

All this means you can feel confident deploying AI at scale with flexible, cloud-native, distributed YugabyteDB.

“In the AI field, this gap [RDBMS versus non-RDBMS] was not allowed to develop. You already have AI technology that is in many cases good enough in AI-ready platforms. In the very beginning, the AI-native database got a foothold, but now it is quickly eroding. Further, if performance and scale are the primary benefits offered by AI-native DBMSs over vanilla AI-ready solutions, what happens when specialized systems that scale far past those build in the same AI technology? Those begin to disappear.”

— Karthik Ranganathan, co-founder and co-CEO of Yugabyte

Why Customers Choose Yugabyte

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