Innovation Sweet Spots: Food innovation, obesity and food environments

Chapter 2: Venture capital investment into food innovations and technologies

Conclusion

Analysis of global trends in venture funding for food innovation and food technology start-ups highlight that the past decade has been an exciting period of growth, although it seems clear that we are now entering into a new chapter with 2022’s market downturn. While the overall figures on venture funding are dominated by investment into the maturing ‘delivery and logistics’ start-up space (in particular, food deliveries), it is important to note that there has been growth of investment into practically all categories we examined. 

The venture funding environment in 2022 was a markedly different landscape when compared to previous years. After a decade of growth fuelled by low central bank interest rates, the total venture capital investments across all sectors have been estimated to drop by 53% in the third quarter of 2022 as the US, the UK and other markets face a downturn. Our analysis shows a similar drop (-54%) of early stage investments into food technology and innovation start-ups.

This contraction of investment will likely pave the way for the consolidation of start-ups working on food technologies, as companies might shut down or get acquired by more established players. The market correction could dampen innovation in the field as start-ups might find it harder to attract new investment in the near term, and there will be a need to cut costs including research and development spending.

Are the patterns of VC investment we track steering the food sector towards a healthier future? We do find encouraging signals – such as the emergence of health-related start-ups (eg, personalised nutrition services) which now account for about 3% of the total food tech venture funding, as well as increased funding for start-ups specialising in healthier food reformulation technologies.

The most significant investment and growth, however, has occurred in areas that prompted concern from the experts we engaged with (see Chapter 6). The large volume of investment into food delivery and meal kit businesses might, in theory, improve food environments by reducing food deserts. However, given the indications that food purchased from restaurants, fast-food outlets and takeaways is usually associated with higher calorie intakes, it will be important to consider interventions and further innovation to ensure the impact on health is not negative.

Importantly, at present many of the services, from food deliveries, to innovative foods, to personalised nutrition come at a premium price. This necessitates further development to make them more accessible for people with lower income.

Taken together, our findings suggest that there is a case to incentivise businesses towards investing in development of innovations which are healthier and more affordable, an approach which is discussed in greater detail in Chapter 7 on recommendations.

Methodology

In our analysis, we used data from Dealroom global company information database, which provides an extensive coverage of food technology start-ups (data last accessed in November 2022).

To categorise trends around different food innovation categories, we adapted and adjusted Dealroom’s segmentation of the food tech start-up landscape. First, we manually matched the company industry labels and tags used in Dealroom to the categories and subcategories of our innovation landscape presented in Chapter 1. We then used each company’s industry labels and tags to automatically assign them to one or more categories in our taxonomy. We manually reviewed these automatic assignments and corrected them where required. We also excluded companies that were tagged as being related to pets and pet food.

In summary, we assigned 5,785 companies to seven broad innovation categories and 21 narrower categories. In this, we prioritised companies that had raised at least a single investment round: companies that had not raised investment would not influence our analysis. While we aimed to minimise overlaps between innovation categories, a single company can occasionally be assigned to multiple innovation categories. In such cases, we have taken care to avoid double counting when reporting aggregated investment figures. The final list of companies included in the analysis can be found here.

We have distinguished between early and late stage deals, which are usually associated with start-ups and more mature companies respectively. Among the early stage deals, we have included angel, seed, series A to series I, early VC, late VC, growth equity, convertible, media for equity, project, real estate and infrastructure finance, secondary, private placement VC, and spinout investments. Late stage deal types include acquisitions, mergers, buyouts, debts, lending capital, IPO, post-IPO investments, and SPAC IPO. More information about the different types of deals can be found on Dealroom’s website.

To estimate baseline funding growth for early stage investments across all sectors, we accessed data from Crunchbase business intelligence database, taking care to include only deal types equivalent to the Dealroom early stage investments in the baseline calculation.

Note that in our analyses, we have taken a medium-term view by focusing on trends over a five-year time period between 2017 and 2021. Throughout the chapter, we report a smoothed estimate of investment growth that compares the rolling three-year average of investment in 2017 versus 2021. More precisely, it is the comparison between the average across 2015-2017, and the average across 2019-2021. In this way, we aim to characterise the medium-term growth and smoothen the year-to-year fluctuations. 

At the time of writing this report, our datasets did not have a complete coverage of 2022, and hence we refrained from incorporating it into the trends figures as it might skew our analysis. Nonetheless, where salient we do make reference to developments in 2022 in order to acknowledge how the very latest trends might affect the market in future.

For the purposes of visual clarity, time series of yearly research funding between 2010 and 2021 are plotted using the monotone interpolation method, which preserves the precise values of the underlying (yearly) data points.

The analysis code can be found in the project’s GitHub repository.

Acknowledgments

We thank Jack Rasala for his contributions to the venture capital analysis code.