米国べいこく年末ねんまつ商戦しょうせん、史上しじょう最高さいこう売上うりあげを達成たっせい

According to the latest data released by Adobe Analytics on January 7 U.S. time, U.S. consumers’ online spending during the 2025 year-end holiday season reached a record high of $257.8 billion approximately 40.44 trillion yen.

The main reason for this result is believed to be the sharp increase in website traffic from AI tools, including generative AI chatbots.

According to Adobe Analytics, compared to the same period in 2024, access to retail sites via AI chatbots has increased by 693.4%, indicating a significant change in consumer purchasing behavior.

In response to this trend, FedEx reported that before the start of the year-end shopping season, 97% of American retailers plan to utilize AI for tasks such as customer service and pricing.

Furthermore, Walmart has become a leading example of AI utilization by introducing a system that allows consumers to shop directly through AI by integrating with ChatGPT.

Furthermore, according to a survey conducted by Future Commerce in December, 52% of respondents said they have used AI tools for shopping, and 49% said they start their shopping with research done by AI.

Mr. Juan Pelerano Rendón, Marketing Director of the e-commerce software startup Swap, described the current situation as the stage before the launch of Sputnik, indicating that a major turning point is approaching.

Adobes data is also consistent with Salesforces findings, with Salesforce reporting that global online sales during the year-end shopping season reached $229 billion approximately 35.92 trillion yen. This was influenced by AI-driven product recommendations, targeted promotions, and conversational support.

However, there are still challenges remaining in the widespread adoption of AI tools.

According to CNBC, online retailers are pushing back against Amazons AI tool Shop Direct for listing products from other websites without permission.

Furthermore, according to research by Salesforce, changes brought about by AI may not be limited to purchasing behavior, but could also extend to after-sales services such as returns and exchanges.

In fact, about three-quarters of the respondents expressed interest in using AI tools for returns and exchange procedures in the future.