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AI, Data, & An $8B Statement From Salesforce

By Jenna Trott | 5 Minute Read

Agentforce & AI AGG

At A Glance

01. Salesforce acquired Informatica for $8B, marking a major investment in enterprise data governance.

02. AI success hinges not just on models, but on clean, structured, trustworthy data.

03. 63% of enterprises store over 100TB of data—but 90% becomes unusable within months.

04. Salesforce’s Q1 Data Cloud and AI ARR crossed $1B, with 22T+ records ingested—up 175% YoY.

05. Agentforce closed 8,000+ deals, proving AI has moved from experimentation to production.

Products Highlighted

Agentforce
Salesforce Data Cloud
Einstein AI
Informatica

Salesforce recently sent a big message with their acquisition of Informatica: AI is here to stay, but getting it right requires more than algorithms and agent building tools. It requires clean, connected, governed data, and right now, that’s where many enterprises are falling short.

In fact, the scope of the problem is staggering. Although 63% of enterprises store more than 100 terabytes of data, 90% of it becomes unusable within months—not because it’s irrelevant, but because it’s unstructured, duplicated, or lacks proper context. Salesforce’s $8 billion acquisition of Informatica signals a clear recognition of that reality. Tools like Agentforce and Einstein can’t deliver real value unless they’re powered by trustworthy data.

Which brings us to the numbers driving this strategic pivot. Let’s take a closer look at the numbers behind the timing of this acquisition.

Behind the Numbers

Salesforce’s Q1 revenue hit $9.83B, up 8% year-over-year—but the real momentum came from two areas: AI and mid-market growth.

 AI + Data Cloud ARR crossed $1B, up 120% YoY

 22 trillion records were ingested into Data Cloud this quarter—up 175% YoY

Nearly 60% of Salesforce’s top 100 Q1 deals included both Data Cloud and AI

Salesforce also reported strong results from Agentforce, its AI-powered autonomous agents:

8,000+ deals closed, half paid

$100M in annual order value

30% of bookings driven by consumption

800 clients now in production

So, what does this tell us? AI has gone beyond experimental to instead becoming a significant revenue engine for companies across industries—but it’s one that depends entirely on data quality and structure.

Why Informatica? And Why Now?

Salesforce isn’t acquiring Informatica to “add features.” It’s acquiring it to solve a known issue: enterprise data sprawl.

Informatica’s capabilities—metadata management, master data management (MDM), and data quality enforcement—are essential to making sprawling datasets usable again, especially as AI becomes embedded across the Salesforce ecosystem.

But as Marc Benioff noted during the investor call, the acquisition is also about scale. Salesforce’s sales force (now at 13,000 AEs, up 14% YoY) can distribute Informatica globally in a way the company struggled to do alone:

They don’t have the distribution scale that we have… So the idea that we have the ability to go out and sell that product to companies worldwide—this is why I have this fever about growing.
Marc Benioff

What to Watch Next

Salesforce raised its full-year guidance to $41.3B, citing strong pipeline growth. And with AI usage shifting to consumption-based pricing, they’re changing how performance is measured by aligning incentives with actual usage and renewals.

Further, the Informatica deal complements Salesforce’s ADAM framework (Agents, Data, Apps, Metadata), positioning the platform to support not only AI functionality, but AI that runs on clean, governed, context-rich data.

Whether this move delivers on its promise will depend on its execution—but the early indicators, from revenue growth to adoption rates, suggest Salesforce is aligning its strategy around making enterprise AI truly usable: built on clean, governed, and context-rich data.

Explore how Informatica is reshaping Salesforce’s data and AI strategy

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