Marc Benioff, chief executive officer of Salesforce Inc., speaks during the 2025 Dreamforce conference in San Francisco, California, US, on Tuesday, Oct. 14, 2025.
Salesforce shares rose as much as 5% in extended trading on Wednesday after the software vendor issued new financial targets for the next few years.
The company said it now expects revenue of over $60 billion in 2030, above the $58.37 billion consensus among analysts polled by LSEG.
The guidance excludes impact from the pending acquisition of data management company Informatica. The $8 billion deal, announced in May, is slated to close in the fiscal fourth quarter or in the first quarter of the 2027 fiscal year.
"We have had some lower-stage growth for a while," Robin Washington, Salesforce's chief operating and financial officer, said during an investor briefing at the company's annual Dreamforce conference in San Francisco. "That is reaccelerating."
She company called for an organic year-over-year revenue growth rate above 10% in the 2026 through 2030 fiscal years. The growth rate has been under 10% since mid-2024.
Investors have been concerned, in part because of the rise of "vibe-coding" tools for automatically generating software with a few words of human input. Industry observers have predicted that artificial intelligence services might threaten longstanding software providers. Microsoft CEO Satya Nadella said in April that AI is creating up to 30% of new code at the company.
"There's a certain amount of, let's just say, nonsense that's out there," Salesforce CEO Marc Benioff said on Wednesday. "Like, for example, that these products are writing all the software, and that is not what's happening."
As of Wednesday's close, Salesforce's stock had fallen 29% for the year, while the Nasdaq has gained 17%.
To increase revenue, Salesforce is counting on its Agentforce software for automating customer service and other business processes, said Washington, who also sits on Salesforce's board. The company introduced Agentforce last year as a way for brands to add chat-based customer service agents that connect large language models to internal data.
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