Gartner predicts that by 2027, organizations that prioritize semantics in AI-ready data will increase agentic AI accuracy by up to 80% and reduce costs by up to 60%.¹

That matters because enterprises are moving from AI that informs decisions to AI agents that make and act on them. Now, an agent working from incomplete or inconsistent data doesn't just give a bad answer — it takes a bad action faster. Data with clear meaning and context keeps that speed working in your favor.

The investment is already underway. Gartner reports that 88% of CEOs plan to increase their AI investments over the next three years.² Closing that gap takes a robust data value chain that integrates all data types, orchestrates workflows, cleanses and protects data, and makes it understandable for agents. Too often, tool sprawl gets in the way: separate point solutions for integration, quality, and governance, plus single-cloud tools add cost and complexity with every new use case. Enterprises need a unified, intelligent data management platform.

That’s why we’ve brought agentic data integration to Informatica Intelligent Data Management Cloud™ (IDMC), so an agent can take on the data pipeline work to:

• Find the right data and flag gaps, starting from your business goal.
• Build production-ready pipelines grounded in rich metadata.
• Diagnose and fix issues when a pipeline breaks, with data governed end-to-end.

Informatica Headless further extends it by bringing AI-ready data to where you work so your teams can:

• Build, validate, and deploy AI-ready pipelines from Claude, VS Code, Cursor, and other Model Context Protocol (MCP)-enabled tools.
• Share the same governed data across pro-code and low-code developers working in their preferred environments.
• Ship faster without switching tools or climbing a steep learning curve.

We believe the Gartner evaluation of Salesforce (Informatica) further strengthens our commitment to keep innovating so that every customer can build the trusted data foundation its agentic enterprise depends on.

Salesforce (Informatica) stands apart not because of any single capability but because of how everything works together, providing end-to-end data management for the agentic era onto one platform connected by shared metadata.

It shows up in the three areas below, where we feel customers see the most impact:

• Innovation that keeps pace with the market: Because we stay close to how data integration is evolving, customers get new capabilities as their needs change, such as headless data management that lets developers work with IDMC from the tools they already use, and an AI-readiness assessment that helps AI teams find data that is relevant and rooted in how the business defines it.
• AI-assisted data management: CLAIRE automates repetitive integration work, Intelligent Structure Discovery reads complex file types such as XML, JSON, Excel, PDF, and email and CLAIRE FinOps ensures workloads to run more efficiently.
• One platform across the data lifecycle: Customers reach their data wherever it lives through a broad connector ecosystem and links to partner systems, then manage ingestion, integration, quality, cataloging, and governance in one place, with the scale and security enterprises need.

Whether you’re consolidating a sprawl of point tools, preparing data for your first AI agents, or scaling AI across clouds, Salesforce (Informatica) is built to meet you where you are and scale with you as your agents move from pilot to production, with the same commitment to innovation behind 21 consecutive times as a Leader guiding us into the agentic era.

Download the complete 2026 Gartner Magic Quadrant for Data Integration Tools for the reasons behind our placement as a Leader, and feel free to connect with our team to see how it applies to your data and AI priorities.

¹Source: Gartner, "Gartner Identifies the Top Strategic Technology Trends for 2027," press release, October 20, 2026. https://www.gartner.com/en/newsroom/press-releases/2026-10-20-gartner-identifies-the-top-strategic-technology-trends-for-2027

²Source: Gartner, "Gartner CEO Survey," April 2026. https://www.gartner.com/en/newsroom/press-releases/2026-10-20-gartner-says-44-percent-of-ceos-struggle-to-demonstrate-ai-financial-returns-as-technology-becomes-central-to-growth

Gartner Magic Quadrant for Data Integration Tools, Thornton Craig, Robert Thanaraj, Sharat Menon, Jenna Goodrich, Nina Showell, 2 November 2026.

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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 research, 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 Salesforce.