Elastic Recognized as a Leader in the Gartner® Magic Quadrant™ for Enterprise AI Search

Elastic positioned highest for Ability to Execute and furthest for Completeness of Vision; ranked first in AI Automation Use Case in the Critical Capabilities report

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC) today announced that Gartner®, Inc. named it a Leader in the Magic Quadrant™ for Enterprise AI Search, positioning Elastic as the highest for Ability to Execute and furthest for Completeness of Vision. In addition, Elastic ranked first or second in every Use Case evaluated in the Gartner Critical Capabilities for Enterprise AI Search report. Elastic credits its position as a Leader to providing a foundational context layer that retrieves enterprise data accurately, quickly and cost-efficiently at scale.

As organizations of all sizes deploy AI applications, they need platforms that can discover, federate, index and retrieve information from across the enterprise to ground AI assistants and agents. Elasticsearch is built for just that. It combines full-text, semantic, and hybrid search across any type of data, giving organizations the retrieval foundation to build AI applications they can trust at scale, while controlling the cost and complexity of retrieval.

"Organizations moving AI projects from demo to production are learning quickly that context is the hard part,” said Ajay Nair, general manager, Elasticsearch and Platform, Elastic. “Elasticsearch is a search database built for that challenge, giving AI agents and assistants an accurate, cost-efficient way to retrieve the information they need from enterprise data.”

We believe Elastic's placement as a Leader reflects three areas of differentiation:

• Product and deployment maturity: From ingestion and retrieval to agentic orchestration, Elasticsearch gives development teams comprehensive, out-of-the-box capabilities across the AI data stack.
  
  Elastic’s acquisition of Jina AI deepens its capabilities in high-performance multilingual and multimodal search models. Other recent product advancements include Elasticsearch Vector Database, a serverless offering for large-scale vector search and AI applications, and several new vector efficiencies that reduce the cost and complexity of running AI workloads at scale. Elasticsearch is available on-premises, in the cloud or as a fully managed serverless offering and is trusted by approximately 18,000 organizations worldwide.
• Enabler-focused AI vision: In our view, enterprise AI is only as good as the context it retrieves. Elasticsearch is designed to provide the foundational context layer that AI agents and assistants are built on, enabling them to find, reason over and act on enterprise data. When an agent needs to answer a question, complete a task or make a decision, it draws on Elasticsearch to retrieve the right context from structured and unstructured data across an organization.
• Market visibility and talent pool: As a leading search vendor with open source roots, Elastic has strong brand visibility and an active global Elasticsearch community, giving developers a durable foundation to build on. Elasticsearch's global community gives organizations access to a deep bench of experienced practitioners.

"When you're building enterprise AI at scale, the accuracy and efficiency of your retrieval layer directly shapes search quality and LLM performance," said Steve Hafif, CEO of Cypris. "Elasticsearch is an important part of our retrieval stack. It helps us search across more than a billion data points with the accuracy and performance our enterprise customers expect, and Elastic has been a great partner as we scale."

View a complimentary copy of the 2026 Gartner® Magic Quadrant™ for Enterprise AI Search to learn more about Elastic’s position here.

Additional Resources

• Read the blog to learn more about our position in the Gartner Magic Quadrant: Elastic named a Leader in the 2026 Gartner® Magic Quadrant™ for Enterprise AI Search
• Find more details about Elasticsearch here. To get started with a free trial, start here.
• Read the Gartner® report: How to choose the right architecture to build AI agents

Gartner, Magic Quadrant for Enterprise AI Search, Tim Nelms, Stephen Emmott, Darin Stewart, Jed Cawthorne, October 5, 2026

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About Elastic

Elastic (NYSE: ESTC) integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elasticsearch, which is the foundation for its search, observability and security solutions, is used by thousands of companies, including more than 75% of the Fortune 100. Learn more at elastic.co.

Elastic and associated marks are trademarks or registered trademarks of elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.