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The global packaged food and beverage industry has operated on a durable set of assumptions for decades: branded premiums are defensible against commodity alternatives, volume can absorb cost increases through price, innovation cycles measured in years are acceptable, and scale leads to permanent competitive advantage. But each assumption is now being challenged. How can incumbents transform what they sell and how they operate to succeed in the future of the industry?
The demand profile of packaged food and beverage is shifting in ways legacy companies weren’t built to absorb. A rapidly growing number of US adults now use GLP-1 medications, with pharmacy tracking services reporting millions of active users, creating a big shift in how Americans eat.
Private label crossed $330 billion in annual US sales in 2025, claiming 24% of value share in a market where branded incumbents long assumed structural protection, and small “disrupter” brands are now driving most of the growth across the category.
And the supply side is under equal pressure. In April 2024, cocoa prices reached $12,000 per metric ton, nearly five times the commodity’s historical average. Coffee arabica futures climbed to multi-decade highs in the same period. Olive oil prices more than doubled from 2022 levels after drought-driven harvest failures in southern Europe. Trade and tariff rates have shifted across multiple trade corridors.
Deloitte’s Future of the Consumer Industry research has tracked these shifts as they have unfolded, and the pattern emerging from the subsector data is consistent: The consumer has changed faster than the industry serving them, and the gap between the two is widening. Closing the gap will require artificial intelligence (AI) transformation, but not by using the traditional way of thinking.
AI is reshaping the demand side, changing how consumers discover, evaluate, and purchase products. It is reshaping the supply side, shifting how companies sense, source, plan, and produce. And it is reshaping the operating model itself. The companies reading AI narrowly as a marketing tool or a productivity boost will likely capture a small share of the available value. The companies treating AI as a transformation that spans demand, supply, and the structure of the enterprise itself will likely set the trajectory of the category for the next decade.
How companies can respond to industry shifts—in what they sell, how they operate, and how they organize themselves
The strategic imperatives outlined above aren’t sequential priorities. They are parallel demands: Companies addressing only one or two while deferring the others will find that the unaddressed forces compound into a structural disadvantage becoming progressively more expensive to address.