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Oct. 6, 2025, 10:39 a.m.
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Adobe Forecasts Record $253.4 Billion U.S. Online Holiday Sales in 2025 with AI-Driven Shopping

Brief news summary

Adobe projects U.S. online holiday sales in 2025 to reach a record $253.4 billion, a 5.3% increase from 2024 despite economic challenges like tariffs and inflation. This growth is driven by consumer use of discounts, flexible payment options, and AI-powered shopping tools. The 2025 holiday season is the first truly AI-driven period, with generative AI enhancing personalized recommendations, product comparisons, and convenience. Cyber Monday sales are expected to rise 6.3% to $14.2 billion, helped by AI-optimized deals and tailored offers. Electronics, apparel, and furniture dominate over half of all spending. Tariffs on imports may affect prices and availability, posing challenges to demand, but retailers are working to protect supply chains and pricing. Adobe’s outlook highlights strong e-commerce growth fueled by innovation and consumer adaptability, marking 2025 as a transformative year for U.S. holiday retail.

Adobe's latest forecast for the 2025 holiday shopping season anticipates a record-breaking $253. 4 billion in U. S. online sales, marking a 5. 3% rise from the previous year. This positive outlook emerges despite ongoing economic hurdles like tariffs and inflation, which have strained both consumers and retailers. Analysts credit this projected growth to consumers increasingly employing various strategies to maximize their holiday budgets, such as discounts, flexible payment options, and advanced AI-powered shopping tools. The 2025 holiday season is being recognized as the first truly AI-driven shopping period, highlighting the expanding impact of artificial intelligence on consumer habits and retail operations. Generative AI, especially, is significantly influencing how shoppers make purchase decisions. These sophisticated tools provide personalized recommendations, assist users in more effective product comparisons, and simplify the online shopping experience, tailoring it to individual preferences. Cyber Monday is expected to remain the peak of online holiday shopping, with Adobe forecasting $14. 2 billion in sales on that single day—a 6. 3% increase over 2024’s Cyber Monday. This underscores the continuing significance of the event in the retail calendar.

Retailers are predicted to utilize AI technologies to optimize deals and customize offers, boosting engagement and conversion rates throughout this critical shopping window. Top-performing product categories for the 2025 holiday season are projected to be electronics, apparel, and furniture, which together will constitute over half of all online holiday spending. Electronics maintain their popularity among gift buyers, driven by the steady release of new gadgets and smart devices. Apparel remains a major segment owing to the growing assortment of styles and sizes available online, while furniture sales benefit from ongoing trends in home improvement and remote work setups. However, certain popular gift categories might experience challenges due to tariffs on specific imported goods. These trade-related costs could affect pricing and availability, possibly reducing consumer demand in those segments. Retailers and manufacturers are closely watching tariff policies and exploring ways to lessen their impact on holiday supply chains and final prices. Overall, Adobe’s forecast points to strong growth in the U. S. online holiday retail market for 2025, fueled by consumer adaptability and the adoption of innovative AI technologies. As digital shopping continues to evolve and improve, shoppers are expected to discover new methods to maximize value during the holiday season despite economic uncertainties. Retailers that effectively leverage AI tools and offer flexible payment solutions may secure a larger portion of the growing market, making the 2025 holiday season a dynamic and transformative time for e-commerce in the United States.


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Adobe Forecasts Record $253.4 Billion U.S. Online Holiday Sales in 2025 with AI-Driven Shopping

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