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Salesforce: Cyber Week will break records with $334B in online sales

Cyber Week (Image: Alexander Limbach)
Cyber Week sales are expected to reach new heights. (Image: Alexander Limbach)

Artificial intelligence and shopping agents are set to make Cyber Week (Nov. 27 – Dec. 1) the most successful yet.

New data from Salesforce indicates that the 2025 edition of Cyber Week (Thanksgiving Day Thursday, Nov. 27 through Cyber Monday, Dec. 1) is expected to drive a record-breaking $334 billion in global online sales. This would represent a roughly 7% increase from the $314.9 billion in global online sales tracked by Salesforce in 2024.

[READ MORE: Salesforce: Cyber Week digital sales reach $76 billion in U.S.]

Of that figure, Salesforce expects $73 billion to result from the influence of AI and shopping agents (up 22% from 2024) and $78 billion to come from U.S. shoppers (up 3% from 2024). According to Salesforce, retailers with agents on their own properties already experienced seven times the U.S. sales growth (13%) compared with those without (2%) in the last seven weeks.

From Oct. 1 to Nov. 15, online sales growth increased 3% year-over-year in the U.S. and 6% year over year globally, according to Salesforce. During this same period, digital traffic to commerce sites (page views) saw substantial growth, nearly doubling in the U.S. and tripling globally. 

“Digital traffic has skyrocketed, indicating shoppers are engaging early to see what’s new and build out their wish lists,” said Caila Schwartz, director of consumer insights and strategy for Salesforce. “This year, more shoppers are leaning on AI and agents to research products, help them budget, and prepare for the holiday season. Combined with Cyber Week sales projections, we expect highly motivated shoppers who are ready to spend, despite rising prices.”

Other Salesforce Cyber Week 2025 predictions

  • Mobile orders will account for 70% of sales and 80% of traffic this Cyber Week.
  • 25% of all purchases made over Cyber Week will be made via a mobile wallet like Apple Pay.
  • Black Friday is expected to drive $78 billion in online global sales and $18 billion in the U.S. This is approximately five times the sales of an average day outside of the Nov. 1- Dec. 31 holiday shopping season.
  • Salesforce expects the highest discounted categories globally to be beauty and makeup (40%), general apparel (34%), and beauty and skincare (33%). It projects the highest discounted categories in the U.S. to be general apparel (37%), health and beauty (35%) and home (furniture, dining, decor, appliances) (23%).
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Other holiday data

Salesforce previously projected November and December 2025 digital sales will reach an unprecedented $1.25 trillion around the globe in 2025, marking a 4% year-over-year increase from the current record-holding $1.2 trillion total reported in 2024. 

The company also found some other interesting digital sales data points for the weeks between Oct. 1 and Nov. 15, 2025:

  • Over 19% of orders were influenced by AI and agents in the lead up to Cyber Week.
  • Digital retailers who used AI and agentic features on their channels saw a 5% higher conversion rate compared with those who didn’t.
  • The use of mobile wallet channels like Apple Pay grew 31% year over year.
  • The share of online e-commerce traffic driven by social media referrals grew 15% year over year, representing 16% of all online shopping traffic so far this season.
  • Of all the social traffic driving shoppers to commerce sites, TikTok’s share grew 86% year over year. 

Salesforce analyzed aggregated data from proprietary Salesforce research to produce holiday insights from the activity of more than 1.5 billion global shoppers across more than 89 countries, with a focus on 18 key markets: the U.S., Canada, U.K., Germany, France, Italy, Spain, Japan, the Netherlands, Australia, New Zealand, the Asia-Pacific (excluding Japan, Australia, and New Zealand), Switzerland, Latin America, the Middle East and Africa (MEA), Eastern Europe, Belgium, and the Nordics. Several factors were applied to extrapolate macroeconomic figures for the broader retail industry. 

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