🦄 New unicorns report – 12 new $1B+ FoodTech startups

Published on June 28, 2023

As you certainly know, if you read this newsletter (or just any media), things are not going well for startups right now. How does this affect the rarest category of them? To do that, we have just released our yearly FoodTech unicorns report.

First, let’s point out that since last year’s report, 12 FoodTech startups have reached the $1B+ valuation milestone. While this is only 50% of the 23 new unicorns that we identified in 2022, it remains a positive sign that around the world, investors are still heavily betting on the future of food.

What is even more interesting is to look at these 12 companies. They primarily work on digitising both the retail supply chain and the foodservice industry. This is quite a change compared to previous years, where the bulk of the new unicorns were delivery startups. Delivery remains the most well-represented category, with 58% of the “active” unicorns. However, this is nine percentage points below last year’s distribution.

Unicorns have lost some of their mythical status in the past couple of years. Still, these 62 companies can be considered the beacons of any tech ecosystem of tens of thousands of startups. Together, they create a fascinating snapshot of what is happening in FoodTech.

In this year’s snapshot, we can learn many things, notably by comparing it to previous ones (which you can find on our website):

1 – A move toward industrialisation: Alternative protein companies such as Upside Foods and indoor farming startups (i.e. Plenty) are developing their industrial-scale capabilities.

2 – B2B is the new hype: new unicorns have mostly B2B business models, notably SaaS and other digital services. This is entirely different from a few years ago when new unicorns were focused on restaurant or grocery delivery.

3 – We have removed a handful of startups compared to last year’s mapping. Weilong (from China) is the only upward exit with an IPO. Others have less favourable exits.

4 – Finally, a new category of unicorns: we call them “Zombie Unicorns”: these are startups that are still nominally unicorns but which are rumoured to be either on the brink of failure or to have accepted a significant downturn (raising money at a lower valuation).

In the report, available here, you’ll find all the above and much more, notably the detailed list of the 62 FoodTech unicorns.

The idea of FoodTech startups becoming unicorns and then competing with or replacing legacy businesses took a serious hit. The focus changed from hype and valuation to profitability and real-world impact. I think that is mostly for the best. At the same time, new ventures sometimes need absurd valuations to raise enough money to act on their vision and actually change the world. In a word, as the need for a change in the food value chain is ever more urgent, we can expect (and wish) for more FoodTech unicorns to appear in the next few years.

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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.