Beyond the gloom and doom: some hope for the future of food

Published on December 2, 2025

With the end of the year approaching, if some are at risk of an overdose of chocolate, my personal risk is spending too much time at conferences talking about the state of the FoodTech ecosystem and making projections for the years ahead. There is, though, a benefit of all these talks, I see which messages resonate with the current mood, and as often, the actual situation is quite different from what is felt. What’s different now is that, compared to previous years, the innovation ecosystem is probably doing better than what is perceived.

 

1 – On paper, things are looking quite bad…

I like to start my talks by providing a view of the state of the ecosystem, both in terms of funding and trends. And, indeed, if we look at funding alone, things are doing poorly on most fronts:

  • less money getting invested
  • (much) fewer startups being founded and funded
  • growing concentration in a single area (North America) to the detriment of others, with some regional hubs almost vanishing from the landscape, thereby reducing innovation diversity.

There is no way to sweeten it: with 5 times less money available than 4 years ago, many startups have to shut down. The reduced pool of capital, combined with the absence of exits in many categories (except for innovative brands and agricultural robots), is making the situation extremely complicated for most players.

That’s maybe me being French and insisting on things that don’t work (if it works, there is no use in talking about it, no?), but oftentimes, I see that this is the only message that gets through to an audience. However, there are many reasons to stay optimistic.

2 – But it’s not that bad

There is a French saying that goes along the line “Looking at ourselves makes us anxious, but comparing ourselves to others reassures us”. And indeed, if we broaden the scope, FoodTech is not doing that badly compared to other ecosystems.

NL-graphs-comparison-is-no-reason-but-it-helps

As you can see on the graph above, FoodTech is doing exactly “as bad” as Tech, excluding artificial intelligence (AI).

Nowadays, investors are flocking to everything related to AI. And even though most startups are adding AI to their decks, the link between AgriFood and AI remains thin. Don’t get me wrong, I know that many applications and disruptions will come from AI, notably those that we have listed in this previous insight, but in most cases, AI remains more of an enabler than a core technology.

Anyway, even if there are some specificities to FoodTech, things are not worse than in other ecosystems. Being “not worse” is a meagre reassurance, but it always helps to put things in context.

Comparisons can also be extended through time. If we look at previous funding cycles, the current slowdown is far from being the worst. In the aftermath of the dotcom bubble or the great financial crisis of 2008, startup funding declined to the point that entire ecosystems were wiped out.

3 – Beyond the gloom and doom, things are doing quite well

The final, but probably most important point, is that recently, things have been getting better for AgriFoodTech:

  • Even more emerging trends and technologies disrupting food and agriculture: as we are working on our revised trends/hype curve for 2026 (here is this year’s edition of our report – let us know if you’d like to be among the first to discover the update), we are observing a multiplication of the number of emerging trends.
  • Increasing number of corporate partnerships through investment and commercialisation deals: this is my main driver of optimism, as corporate involvement is now essential for products to reach the market and make a real impact. Many of these partnerships are pointing toward 2026 as a pivotal year where many products will finally be used commercially, which could create a new positive cycle.
  • Regulatory updates: since the start of the year, tens of startups have received regulatory approval in the US, Australia, China, and even very recently in Europe (if Europe, the ultimate laggard in terms of alternative protein approvals, is moving forward, that is a sign that things are changing, don’t you think?).

Beyond these factual points and the doom-and-gloom of the funding situation, there is a sense that the worst is behind us. AgriFoodTech is “cleaned” of many of its excesses and is now ready to enter a new phase, combining disruptive innovation from early-stage startups with the emergence of commercially and technically viable solutions prepared to scale. Beyond the timely “end-of-the-year optimism”, this renewed faith in the potential

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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.