Smart Agrifood: Signs of Recovery, Amid Old Challenges and New Opportunities

Free Content Report Smart AgriFood Smart agrifood April 2026 22 pages pdf

What you will learn

The report explores how digital innovation is transforming the agrifood sector in a complex context of climate, geopolitical, and economic challenges. It presents trends in the Agriculture 4.0 market, AI adoption across the supply chain, achieved benefits and barriers to digital transformation in the agrifood sector. The report also highlights the evolving roles of competences and skills in driving a more sustainable, efficient, and competitive future for the agrifood industry.

Table of Contents

1
Smart Agrifood: Positive Signals in an Increasingly Complex Context
2
The Evolution of the Agriculture 4.0 Market in Italy
3
Applications of Artificial Intelligence in the Agrifood Sector
4
Looking Ahead: What Are the Prospects for Smart Agrifood?

Index of Graphs

1
Italian Agriculture 4.0 market in 2025
2
AI applications in agrifood supply chains

You will know how to answer these key questions

What are the trends influencing the agrifood sector, and what is the role of digital innovation?
What is the value of the Agriculture 4.0 solutions market in Italy?
What is the adoption status of agritech solutions in Italy, and what is the digital maturity of the agricultural sector?
What are the most interesting applications of Artificial Intelligence in the agrifood sector?

The methodology used in this Report

Various methodologies were employed to explore digital innovation in the agrifood sector. To analyze the Agriculture 4.0 supply and market in Italy, technological solutions were mapped, followed by an online survey of technology providers to estimate the market value. A survey of 1,059 farms assessed the digitalization of Italian farms and the adoption of Agriculture 4.0 solutions, alongside the development of a “digital maturity model” to measure digitalization levels. A cost-benefit analysis framework, using over 80 KPIs, evaluated economic, environmental, and social impacts across 30 pilot cases in 20 countries. The study of Artificial Intelligence in the agrifood sector included a review of literature and ongoing projects, emphasizing the regulatory context. Mapping smart agrifood startups helped monitor emerging trends, while analyzing EU funding projects revealed the most supported innovation areas in agrifood supply chains.

Authors