FEATURES: ► Starting the 2D Code Journey to Strengthen Food Safety
► Cleaning and Sanitation: Organize and Record Your Data with the Right Tools
► Mixing and Blending of Dry Ingredients: Art Gets a Little Help from Science
While sales were largely down in complex manufacturing and retail environments, some of the world’s top food and beverage manufacturers experienced growth in 2025.
See where the world’s leading food and beverage companies landed in FOOD ENGINEERING's 2026 Top 100 ranking, as economic pressures, major acquisitions and shifting strategies reshaped the industry in 2025.
AI projects in food manufacturing have slowed due to large-scale data projects delivering limited payoffs, stymying momentum. The next wave of data system integrators is here, providing semantic labeling and data context services and accelerating innovative strategies.
AI projects in food manufacturing have slowed down because large data projects have not provided great results. This has limited progress in the field. Now, a new group of data system integrators is here to help. They offer services like semantic labeling and data context, which can speed up new strategies in the industry.
Rather than a hodge-podge of sanitation and cleaning records scattered everywhere, why not tie them together digitally so they’re available in minutes or hours rather than days or weeks?
One of my favorite times of the year is approaching, and it’s not just because autumn is on its way. While I do enjoy the cooler temperatures and the seasonal activities that fall brings, this time of year also marks the release of our annual Top 100 ranking.
As food manufacturers approach a turning point in the application, verification and sharing of product data, a practical roadmap can support faster implementation, stronger compliance outcomes and measurable operational efficiencies.
Dairy processors are racing to add capacity as whey protein demand outruns supply. The harder question is whether that capacity can come online when it's needed.