CRM Enterprise Software · AI · Cloud software · Large cap · Thesis updated June 11, 2026

Data is Salesforce’s new growth test

Salesforce still gets most of its money from subscriptions and support, about 94% of revenue.
The new Data 360, Headless Platform, and Other segment grew 25% in Q1 FY27, making it the main growth engine.
Agentforce Apps grew 9%, which shows the core CRM apps are mature and slower than the data platform side.
Informatica added about $444 million of revenue in the quarter, so organic data growth is still the key question.
The $25 billion accelerated share repurchase supports earnings per share, but it comes after a large debt-funded deal.

01 Running thesis

The data bet must prove itself

Salesforce is moving from a classic CRM apps story to a data and AI platform story. The clearest proof is the new Q1 FY27 reporting split. Agentforce Apps grew 9%, while Data 360, Headless Platform, and Other grew 25%. That makes the data and platform side the center of the bull case.

The Informatica deal is now part of the story, not a future event. Informatica added about $444 million of revenue in its first full quarter after the deal. That helps explain the strong data segment growth, but it also makes the main question sharper: how much of that growth is organic, meaning growth Salesforce created without buying it?

Management also started a $25 billion accelerated share repurchase. That can lift earnings per share by reducing the share count. It also signals confidence in cash flow. The offset is that Salesforce now has to integrate Informatica and handle the debt from the deal at the same time.

The balanced view is simple. Salesforce has a real path to faster growth if Data 360, Informatica, MuleSoft, Tableau, and Agentforce become the trusted AI data layer for large companies. But the core apps are no longer the fast-growth engine, and investors still need clearer proof that Agentforce can create large, repeatable revenue.

May 2026→Salesforce moved to two revenue categories in Q1 FY27. Data 360, Headless Platform, and Other grew 25%, but Agentforce Apps grew 9%, so the growth engine is clearer and the dependency is clearer too.

Mar 2026→The FY2026 10-K confirmed the Agentforce 360 strategy and folded Informatica into the data foundation. Platform momentum looked stronger, while legacy app growth stayed slower.

Dec 2025▼Salesforce completed the Informatica deal for about $9.6 billion and borrowed $6.0 billion under new credit agreements. The strategy became clearer, but integration and debt risk became more real.

Sep 2025→Salesforce added more AI-focused M&A with Regrello and raised its share repurchase authorization by $20.0 billion. The core Sales and Service clouds were still growing 9%, keeping the platform side important.

May 2025→The company agreed to acquire Informatica, sharpening the data and AI strategy. Q1 FY26 revenue grew 8% and operating margin was about 20%, but M&A risk moved back to the center.

Mar 2025▲The FY2025 10-K framed Agentforce as a core AI layer and showed revenue of $37.9 billion, up 9%. Operating margin expansion supported the profitable growth case.

Dec 2024▲Salesforce introduced Agentforce as a new AI layer and said the buying environment had stabilized outside AI demand. This added a clearer AI catalyst to the thesis.

Aug 2024→The initial view set Salesforce as a subscription CRM leader with about 94% of revenue from subscription and support. The main tension was market leadership versus slower enterprise software spending and tough competition.

02 Business model

Sticky subscriptions, slower core apps

Salesforce makes money mainly by selling subscriptions to cloud software. Customers pay to use tools for sales, service, marketing, commerce, analytics, integration, data management, Slack, and AI agents. Subscription and support revenue is about 94% of total revenue.

The model is sticky because Salesforce sits inside daily work. Sales teams track deals in it. Service teams answer customer questions in it. Managers use its data to report what is happening. Replacing it can be expensive, risky, and slow.

Agentforce is the next layer. Salesforce describes it as a way for customers to deploy AI agents that can take actions across business functions. If customers pay for these agents at scale, Salesforce can add a new revenue stream on top of its installed base.

The weak point is growth quality. If data and AI growth mostly comes from acquisitions, the story is less powerful. If the core apps keep slowing and Agentforce monetization stays hard to measure, the company may look more like a steady software compounder than a re-accelerating AI winner.

03 Product portfolio

From CRM clouds to AI agents

Cash cow

Agentforce Sales

This is the sales automation business, now framed around AI agents that help sales teams manage leads, deals, and follow-ups. It is part of the mature core app base.

Cash cow

Agentforce Service

This helps companies handle customer support and service workflows. AI agents could automate more routine customer interactions, but this sits inside the slower core apps group.

Steady

Agentforce Marketing and Commerce

These tools help companies run campaigns and online commerce operations. Recent filings showed this area slowing before the new two-segment format replaced the older product split.

Growth engine

Data 360

Data 360 is the data engine Salesforce wants to use as context for AI. It is now reported inside the faster-growing Data 360, Headless Platform, and Other segment.

Growth engine

MuleSoft, Tableau, and Informatica

MuleSoft connects systems, Tableau analyzes data, and Informatica adds data integration, quality, governance, and master data management. Together they are central to the data platform thesis.

Option

Slack

Slack gives Salesforce a workplace chat layer where employees can interact with workflows and AI agents. The strategic value is high, but investors still need proof it can drive major growth.

04 Business segments

Two segments show the split

Agentforce Apps65%modest

Data 360, Headless Platform, and Other35%growing fast

Segment mix is based on Q1 FY27 subscription and support revenue: $6.91 billion for Agentforce Apps and $3.68 billion for Data 360, Headless Platform, and Other. The caveat is that the data segment includes about $444 million from Informatica, so reported growth is not the same as organic growth.

05 Risk factors

What could break the thesis

Informatica integration disappoints

High impact · Medium odds

Salesforce paid about $9.6 billion for Informatica and used $6.0 billion of new debt to help fund the deal. The first revenue contribution was strong, but the hard work is keeping people, merging products, and selling the combined data stack. A weak integration could hurt growth and margins at the same time.

We watchWatch for Informatica revenue disclosures, synergy commentary, customer retention, and operating margin while full debt service is included.

Data growth is mostly acquired

High impact · Medium odds

The Data 360, Headless Platform, and Other segment grew 25% in Q1 FY27. But Informatica added about $444 million of revenue in the quarter. If growth drops once the deal is fully in the comparison period, the platform thesis looks weaker.

We watchWatch for organic growth disclosures for Data 360, Headless Platform, and Other, excluding Informatica.

Core CRM apps keep slowing

Medium impact · High odds

Agentforce Apps grew 9% in Q1 FY27. That segment includes the core apps like Sales, Service, Marketing, Commerce, and Slack. If those products slow further, the data platform must carry more of the company’s growth.

We watchWatch Agentforce Apps growth and any future detail on Sales, Service, Marketing, Commerce, and Slack performance.

Agentforce does not monetize

High impact · Medium odds

Salesforce is using Agentforce as the main AI frame for the company. The risk is that customers test agents but do not spend enough for it to move annual recurring revenue. Branding alone will not prove the AI case.

We watchWatch for paid Agentforce adoption metrics, pricing detail, ARR contribution, and renewal uplift tied to AI.

Security and AI misuse

High impact · Medium odds

Salesforce holds important customer data. Its filings also warn that attackers can use AI to make security threats faster, larger, and harder to detect. A major breach could hurt trust, trigger legal costs, and push customers to rivals.

We watchWatch for disclosed breaches, customer attrition, security spending, and new AI-related data protection rules.

06 Quick answers

In one breath

What does Salesforce actually sell?

Salesforce sells cloud software that helps companies manage customer work, including sales, service, marketing, commerce, analytics, integration, and data. It is now adding Agentforce, an AI agent layer, across those products.

Why does Informatica matter to Salesforce?

Informatica gives Salesforce more data management tools, including integration, governance, quality, and master data management. That matters because AI agents need clean and trusted data to work well inside large companies.

Is Salesforce still a growth company?

It is still growing, but the mix has changed. Core apps grew 9% in Q1 FY27, while the data and platform segment grew 25%, helped by Informatica. The next test is whether the data segment can grow strongly without relying mainly on acquired revenue.

What should investors watch next?

The most important signals are Agentforce monetization, organic data segment growth, and margins after a full year of interest costs from the Informatica debt. These will show whether the AI and data pivot is creating real value.