Data Cloud becomes Data 360 at Dreamforce 2025
During Dreamforce 2025, Salesforce announced that Data Cloud will now be called Data 360.
The update is part of the launch of Agentforce 360, a new structure designed to organize the company’s artificial intelligence offerings.
Within this framework, Data 360 is positioned as the layer responsible for data and context.
Another rebrand — but part of a familiar pattern
This change does not happen in isolation.
The product has gone through multiple iterations over the years:
- Customer 360 Audiences
- Salesforce CDP
- Marketing Cloud Customer Data Platform
- Salesforce Genie
- Data Cloud
- now, Data 360
This history reflects a recurring pattern in Salesforce’s strategy: renaming products as their positioning evolves.
What changes with Data 360
From a functional perspective, Data 360 maintains the core capabilities of Data Cloud:
- unifying data from multiple sources
- creating consolidated customer profiles
- enabling activation across different touchpoints
The main shift is in how the platform is positioned within the portfolio.
Data 360 is now presented as part of Agentforce 360, with a clearer role in:
- providing context for AI agents
- integrating structured and unstructured data
- supporting AI-driven workflows and automation
A closer integration with AI
With this repositioning, Data 360 takes on a more explicit role in Salesforce’s AI strategy.
Some of the newly highlighted capabilities include:
- Intelligent Context: enables agents to access unstructured content such as documents, PDFs, and diagrams
- Tableau Semantics: introduces a semantic layer to standardize metrics and translate data into business language
These additions suggest a shift in how data is expected to be used — not just for analysis, but as part of operational workflows.
The role of Data 360 within Agentforce 360
Inside the Agentforce 360 ecosystem, Data 360 acts as the foundation for:
- supplying agents with up-to-date information
- enabling automation and workflows
- ensuring consistency across systems
It also supports new capabilities like Agentforce Voice, which relies on data to execute actions and deliver more contextual interactions.
What this move signals
While the rename itself may seem incremental, it reinforces a few broader directions already visible in the market:
Data is moving closer to execution
Data platforms are no longer limited to analytics layers. They are increasingly tied to real-time operations and decision-making.
Data and AI are becoming structurally connected
The relationship between data platforms and AI tools is no longer optional — it is becoming part of the core architecture.
Unstructured data is gaining relevance
Documents, images, and other unstructured formats are being incorporated alongside structured data in enterprise workflows.
Conclusion
The shift from Data Cloud to Data 360 does not fundamentally change the platform’s capabilities, but it reframes its role within Salesforce’s ecosystem.
More than a naming update, it reflects a tighter integration between data and AI in the company’s product strategy.
For organizations, the impact will depend less on the name itself and more on how these capabilities are adopted in practice.
FAQ
What is Salesforce Data 360?
Salesforce Data 360 is the new name for Data Cloud, the company’s data platform that unifies and activates data from multiple sources.
Why was Data Cloud renamed to Data 360?
The change aligns with Salesforce’s Agentforce 360 strategy, positioning the platform as a core data and context layer for AI.
Is Data 360 a new product?
No. Data 360 is the evolution and rebranding of Data Cloud, with updated positioning and deeper integration with AI capabilities.
What is Agentforce 360?
Agentforce 360 is Salesforce’s new AI framework, which includes Data 360 as its data layer.