Salesforce has finally completed its $ 8 billion agreement. To buy Informatica as it seems to take the next step forward on its AI trip.
The purchase of Cloud Data Management Firm will give Salesforce a larger AI technology -Boost, especially as it continues to produce and roll the next generation of AI agents.
“Together, Salesforce and Informatica will create the most complete, agent-clear data platform in the industry,” said Marc Benioff, chairman and CEO of Salesforce.
Salesforce Informatica takeover
“Going with Salesforce represents a significant leap forward in our journey to bring data and AI to life by strengthening companies with the transformative power in their most critical asset – their data,” said AMIT WALIA, CEO of Informatica.
“We have a common vision for how we can help organizations utilize the full value of their data in the AI era.”
The CRM giant had been forced to drop plans for an Informatica takeover in April 2024 due to investor press, but just over a year later the deal has done.
Salesforce says that when closing the agreement, it plans to “quickly integrate Informatica’s Technology Cast” into its existing services and systems, including the addition of data integration, quality, governance and collected metadata to agent force and a single data ripeline with MDM on Data Cloud.
Just as it has done with previous acquisitions, the company said it will support Informatica’s plans to build its own products, which will then become part of the wider Salesforce ecosystem.
“By combining the power of Dataky, Mulesoft and Tableau with Informatica’s industry-leading, advanced data management features, we will enable autonomous agents to deliver smarter, safer and more scalable results for any company significantly strengthen our position in $ 150 billion plus-entree-prize data market,” Benioff added.
Salesforce noticed to combine Informatica’s rich data catalog, data integration, governance, quality and privacy, metadata administration and Master Data Management (MDM) services with Salesforce platform will, “establish an overall architecture for Agentic AI -enabling AI agents to work safely, responsibly and in scale over the modern Enterprise”.
“Effective AI in business quality requires more than just data-it requires data transparency, deep contextual understanding and strict governance,” the company added.
