Salesforce has completed its acquisition of Informatica, bringing a broad set of enterprise data management capabilities directly into its platform. The transaction closes a long-standing gap between customer-facing applications and the underlying data infrastructure required to operate AI systems reliably at scale. With the deal finalized, Salesforce adds Informatica’s data integration, governance, quality, metadata management, privacy, and master data management capabilities to its AI and analytics portfolio.
The acquisition is positioned around a practical challenge facing enterprise AI adoption: autonomous and semi-autonomous AI systems depend on consistent, well-governed data across fragmented environments. Informatica’s tooling is designed to address this fragmentation by cataloging data assets, enforcing governance policies, tracking lineage, and maintaining authoritative records across systems. By embedding these capabilities into Salesforce’s platform, the company aims to reduce the operational risk associated with deploying AI agents that act across business processes.
Operationally, the integration strengthens Salesforce’s Data 360 initiative by extending it beyond Salesforce-native objects into enterprise-wide data estates. Informatica’s metadata and lineage services expand visibility into how data is sourced, transformed, and used, which is essential for compliance, auditability, and explainability in AI-driven workflows. This broader metadata layer supports more predictable AI behavior by constraining models and agents to trusted inputs.
The deal also deepens Salesforce’s integration strategy. Informatica’s data integration and governance capabilities complement MuleSoft’s API-led connectivity model, creating a more complete data and application integration stack. Together, the platforms are intended to support bidirectional data movement, policy enforcement, and system interoperability across on-premises and cloud environments. For enterprises running heterogeneous architectures, this reduces the need for custom integration layers to support AI use cases.
Analytics and decision support stand to benefit as well. Tableau users gain access to a more structured and well-documented data environment, improving confidence in insights derived from complex, multi-source datasets. As enterprises push analytics closer to operational decision-making, data clarity and lineage become prerequisites rather than enhancements.
From a platform perspective, Salesforce positions the combined capabilities as foundational to its Agentforce initiative, which focuses on deploying AI agents within enterprise workflows. The integration brings governance and data management closer to the execution layer where agents reason and act, addressing concerns around uncontrolled automation, data leakage, and regulatory exposure.
Informatica will continue to operate as a data management platform within Salesforce, maintaining support for its existing ecosystem of partners and integrations. Salesforce plans to embed Informatica’s technology stack progressively across its products, including a unified data pipeline and master data services aligned with Data 360.
Financially, Salesforce has stated that the acquisition is expected to be accretive to non-GAAP operating margin and earnings per share within 12 months, earlier than initially projected.