From logistics to catering, here is where AI will change the food world the most
According to PwC, the Ai market in food will be worth $43.4 billion in 2028, a fivefold increase from $8.2 billion in 2023
3' min read
Key points
3' min read
In 2028, the artificial intelligence market in the food industry will be worth 43.4 billion dollars, a fivefold increase from 8.2 billion in 2023 with a CAGR of 39.5% over the period 2023-2028. This is highlighted by research conducted by PwC Italy's Innovation Team. "The impact of GenAI and the strategic use of data," comments Vincenzo Tanania, Innovation director of the consulting firm, "are shaping a new data-driven business paradigm, focused on personalisation, efficiency and sustainability.
Record growth
.In 2023, AI in the food sector in North America reached a value of $3.5 billion, with a 42.7% share of the global market, which, according to PwC, will rise to 43.4% in 2028. Europe, with a 27% share and a return of $2.2 billion, ranks second in the global market, thanks to the performance of Germany and France, followed by Italy, Spain, the Netherlands and Switzerland. Asia Pacific is the third largest market in 2023, but is projected to be the region where the use of AI in the food supply chain will grow the most in the coming years.
Logistics application top
.Looking at segments of the agri-food supply chain, logistics accounts for 34.5% of the AI market, thanks to the use of advanced automation systems that enhance warehouse efficiency and responsiveness. AI, used to improve packaging, and the adoption of automated visual inspection systems ensure timely deliveries and preserve product integrity throughout the supply chain.
More quality control
.But in the coming years it is quality control that will drive innovation in the sector and will reach an estimated market value of USD 6.2 billion in 2028, with an average CAGR of 40.6% (2023-2028). Innovation in quality control is linked, on the one hand, tostricter regulations on food safety and transparency standards and, on the other, to consumer demands on product provenance and process sustainability. Thus, advanced algorithms for real-time supply chain monitoring, the application of predictive technologies for preventive maintenance and the integration of intelligent traceability systems are the tools that will facilitate the transition.
From precision agriculture to tourism
.Today, the fields of application for generative AI are increasingly numerous. Think, for example, of precision agriculture. Or to the world of hospitality, where AI is already widely used in marketing, communication, sales departments to create content, to find ideas for their editorial plan, to make draft menus or price lists, save the date for events, with the possibility of considerable enhancement for reputation and sales management.

