Ultra-Processed Foods: Legacy Brands Struggle, Newcomers Rise

Published on June 11, 2025

If one topic is making waves in all categories in the food industry, that’s definitely ultra-processing. Recent data published this month show that consumers are finally looking to change their habits. But rather than moving away from processed foods altogether, they are rather switching brands. If this move is confirmed, this could have very negative consequences for leading food companies which are strategically unprepared to face this challenge.

What makes this debate both fascinating and frustrating is that it circles around two complex and yet unanswered questions:

  • Is ultra-processing intrinsically bad for health, or could some elements be identified and excluded?
  • How can we move beyond ultra-processed (hence cheap and convenient food products) if consumers are not ready to pay more for their diets?

What is the problem with ultra-processed foods (UPF)?

UPF comes from the Nova classification, which Brazilian researchers defined in 2009. As the graph below shows, it is a pretty simple system for classifying food into four groups.

UPF is defined as “industrially manufactured food products made up of several ingredients […] and food substances of no or rare culinary use”. In a word, these are products made of ingredients that you wouldn’t find in your kitchen cupboard.

This high level of processing brings many benefits to the industry, notably long shelf lives and uniformisation, enabling companies to create global brands where a product will taste the same in widely different places and climates. For consumers, beyond durability, convenience, and taste, UPFs have the main advantages. Products such as ready-to-eat foods have been a societal game changer and have been part of why millions of women have started participating in the workforce.

Alongside the Nova classification, researchers have noticed correlations between UPF and obesity, diabetes and a wide range of conditions (such as this recent study on UPFs linked with Parkinson’s disease).

 

However, proving the link is not easy. As you can see in the graph above, even if there is a link, it’s not always the case. In multiple Asian countries, we can observe a relatively high share of UPFs consumed combined with low levels of obesity. Due to the simple definition of UPF, very different products enter the category, some potentially better than others.

One key differentiator of UPFs is their high palatability (they taste good, are easy to eat due to their structure, and make you end the bag of chips without noticing it). A recently published study showed that a diet based almost uniquely on UPFs with a texture that makes them slow to eat would consume nearly 400 fewer calories than if they were fast-eating ones.

What are consumers doing about it?

If we look at the data from the past year, consumers are starting to get worried. Sales for products associated with ultra-processing, like snacks and cereals, are decreasing for the first time in a long time.

Beyond the aggregate sales data, this report shares fascinating data points on the evolution of the market share. In high inflation and economic concerns, we could have expected a significant shift towards private-label brands. Sales of leading brands are declining quite severely in areas associated with ultra-processing, but are mostly being substituted by new, emerging brands.

Cereals and protein bars are a perfect example, with the rise of a wave of “insurgent brands” such as Legendary, David, or Magic Spoon. These are still very much UPF products, but through their marketing and transparent and shortened ingredient lists, they are perceived as cleaner and healthier alternatives to established brands.

What’s next for UPFs and leading players?

There is still an intense debate around ultra-processing, notably around the definition (a discussion in part fed by the plant-based meat ecosystem, which is looking to assert that even as UPFs, they are healthy products).

Now, for leading agrifood companies, the way forward is quite obvious:

  1. Clean as many existing products as possible, keeping the convenience and taste that consumers love.
  2. Acquire new, smaller, and nimbler brands that can interact with consumer demands. It should also be noted that the perception of processing is not shared across geographies, compounding the need for diversification.

Most companies started cleaning their recipes years ago, and it has only been accelerated by the current US administration’s fight against some controversial food additives. However, for the second part, it is interesting to observe that the industry is moving in the opposite direction. Many leading companies are reducing the size of their portfolio to focus on a handful of globally known brands. While this path is certainly profitable in the short term, it looks pretty hazardous considering what we’ve seen above. For companies and leaders aiming for long-term growth, now is the time to explore alternative strategies, either by acquiring emerging brands or by investing in new product lines aligned with evolving consumer expectations.

You're in a good company

Join the 60+ clients of Digital FoodLab: leading agrifood companies, retailers, banks, investors, startups, and public organisations.

Use case: project for a global F&B company looking to map its AgTech innovation ecosystem and the best startups to partner with

What we did:

  • Mapping of the AgTech ecosystem: startups, research regulators, and other leading companies.
  • Discussion to select areas to focus on.
  • Analysis of the information to reveal the trends and a model to analyse eventual partners.
  • A workshop to validate the opportunities based on our recommendations.
  • Scouting of relevant partners followed by introductions.

Results:

  • Mapping the different categories of innovations in AgTech that should be considered now to create long-term benefits for the business.
  • Identification of key partners (an incubator and a couple of startups).

Use case: project for a CPG company on the healthy ageing ecosystem

What we did:

  • Education of the board through a couple of workshops to define the perimeter
  • Identification of key opportunities and threats created by long-term evolutions (technologies, business models, behavioural changes).
  • Deep dives on each of the priority categories.
  • Co-construction of a vision on how the company should address these challenges.
  • Identification of partners (startups, incubators, funds) to move forward.

Results:

  • Creating a consensus on which categories to prioritise and how to address them.
  • Implementation of an open innovation strategy through the development of partnerships.

Use case: project for a global CPG company to develop a strategy on the healthy ageing ecosystem

What we do (ongoing mission on a subscription model):

  • Kick-off where we present an overview of the AgriFoodTech ecosystem to select with the client the categories to cover and for each, the level of information required.
  • Monthly newsletter: each month we send a newsletter with the articles that we have gathered ranked by relevance, their summaries, and a layer of analysis.
  • Database: we set up a personalised database that will be filled month after month with the information gathered on the companies identified for the watch.
  • Workshops: twice a year with the client’s innovation team and other “innovation curious” team members, we present an overview of the evolutions, key trends and a dashboard of the topics followed by the watch.

Results:

  • A clear, regular and evolutive tool to follow what is happening in terms of innovation on key topics.
  • A forum (through the workshops) to discuss innovation trends and new opportunities.

Use case: opportunity screening for an ingredient company

What we did:

  • Kick-off to define the perimeter of the ecosystem studied.
  • Mapping of the different trends shaping the innovation ecosystem of the client.
  • Analysis of the trends on DigitalFoodLab’s trend curve and other relevant frameworks.
  • Workshop to discuss DigitalFoodLab’s recommendations on key trends to prioritise

Results:

  • Shared view of the innovation ecosystem for the client with a view of the trends to prioritize.
  • Clear document (personalised trend curve) that can be easily shared internaly to explain the company’s innovation choices and which can be then updated each year.

Use case: scouting for an agriculture coop

What we did:

  • Kick-off to define the perimeter of the client, the goals of the scouting (partnerships) and the criteria on which startups should be evaluated.
  • Set-up scouting: we selected the first batch of 20+ key startups following the criteria of the client.
  • On-going scouting: then we set up a quarterly scouting of about ten startups.
  • For each scouted startup, we created an ID card with key information such as the business and technological maturity, funding, and corporate partnerships. We also added an explanation of why we selected this startup.

Results:

  • An ongoing and evolutive scouting are matching the client's criteria and its capabilities in terms of deal flow.

Use case: working on an acquisition process for a CPG company

What we did:

  • Kick-off to define what the client is seeking, notably in terms of maturity.
  • Workshop with the client based on a mapping of the different innovation ecosystems adjacent to its activities to select some priorities and discuss inspiring examples of startup acquisition stories.
  • Identification of 20+ targets.
  • Workshop to select the most relevant to engage with.
  • DigitalFoodLab worked as a sparing partner during the acquisition process, notably to help design how the acquired startup could be integrated into the overall company’s strategy.

Results:

  • Different results from traditional M&A processes with a focus on the client’s innovation strategy.
  • Identification of a good match for an acquisition.

Use case: market due diligence on sugar alternatives

What we did:

  • Kick-off with the client to discuss its interest on this category, its expectations and existing level of information (notably on the target company).
  • Mapping of the ecosystem to analyse the different existing alternatives and technologies to compare them.
  • Interview (calls) with relevant startups made by our internal biotechnology expert.
  • Recommendation on whether to invest or not.

Results:

  • Clear view of the ecosystem and of the reasons to believe (or not) in each sub-category.
  • Enforceable recommendations based on facts and expertise.