Snowflake:2026年零售与消费品行业数据趋势报告(英文版)(13页).pdf

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1、DATA TRENDS 2026 RETAIL AND CONSUMER GOODSHow the new era of agentic AI is driving disruptionTable of ContentsEmbracing Transformation:The Year of AI-Driven Innovation .3Trends That Matter in Retail and Consumer Goods .4Trend 1:The Rise of the Cautious Consumer:Pragmatic Customer Behavior .5Trend 2:

2、Macroeconomic Volatility:Tariffs,Trade and the Fight for LFL Growth .7Trend 3:The Era of Agentic AI:From Gen AI to Agentic Commerce .9The State of the AI Data Cloud for Retail and Consumer Goods .11Tomorrows Retail,Todays Reality .12Table of Contents|2 DATA TRENDS 2026:RETAIL AND CONSUMER GOODSEmbra

3、cing Transformation:The Year of AI-Driven InnovationIn 2026,retail and consumer goods are evolving at a pace that stands to fundamentally and radically change the industry.AI has evolved well beyond being a convenient tool or a nice-to-have its a competitive necessity for brands to keep up with the

4、pressure of rapidly changing consumer habits and their rising expectations.While the past year has seen companies experimenting with various AI pilots across the organization,theyre now recognizing the need for scaling intentionally and strategically,guided by business-led use cases.According to a s

5、tudy from NVIDIA,this trend has been particularly evident in retail and consumer goods:active AI usage has increased significantly year over year,with 58%of organizations actively deploying AI solutions(up 42%from 2024)and 90%indicating that AI investment would grow in 2026.“The most exciting part a

6、bout going into 2026 is going to be how companies start embracing enterprise AI,”said Freddy Guard,Head of Consumer Goods at Snowflake.“Enterprise AI will be a key enabler for companies looking to position themselves as winners this year.To really drive transformational change in your organization,y

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