Food accounts for nearly 44% of packaging machinery demand

Food is the largest end market for packaging machinery. It makes up nearly 44% of total industrial packaging equipment demand, a figure from PMMI's 2026 State of the Industry report. Francisco Miguel Salas Romero, an agribusiness consultant at SEDYCA, cites that figure in his November 11 column in Mexico Business News. The column covers how automation is changing the last steps of the food line.

Salas starts with the old way. For decades, workers weighed ingredients, filled sacks, wrapped perishables in film and sealed containers by hand. That was flexible, but it came with errors, slow cycle times and a lot of wasted material. He points to severe labor shortages, rising quality standards and shifting consumer demands, such as SKU proliferation and rapid e-commerce growth, as the pressures that moved processors away from manual operations and toward packaging automation.

Each pressure asks something different of a packaging line, and that's where a spec gets written. For a plant operations leader planning an upgrade, the real question is which job the machine is being bought to do. And a produce pilot at Kroger suggests that for some suppliers, the answer is no machine at all.

Four jobs hiding under one word

Salas splits the change into four effects. The first is shelf life. Automated systems with digital temperature control, modified atmosphere packaging (MAP) and airtight sealing let far less oxygen and moisture into the pack. Hand wrapping leaves room for bad seals and micro-tears in the film. Citing a 2026 paper in Applied Research Advances, he writes that manual wrapping and manual quality inspections historically resulted in frequent packaging integrity failures, leading to faster spoilage and substantial product losses before items ever reached retail shelves.

The second is traceability. RFID tags, QR codes and IoT sensors on the line let supply chain managers track inventory in real time, check cold-chain compliance and tie any problem to a specific batch and transit route. The third is changeovers: moving between container sizes, shapes and materials from a control panel without long downtime, which matters more as single-serve and fiber-based formats multiply. The fourth is labor. Heavy lifting, continuous wrapping and sorting go to machines, and people move to quality oversight, programming and maintenance.

Those four don't come in one box. If a plant treats automation as one purchase, it could end up with a faster line that still can't tell a retailer which lot is on the pallet. Salas also cites Meticulous Research's description of servo-controlled flow wrappers, automated vision inspection and cobots working beside operators. For buyers, that suggests weighing each piece on its own terms instead of pricing automation as a single package.

Keeping food fresh vs. knowing where it's been

Promarks, which sells vacuum sealers and processing machines, makes that distinction in a November 2 explainer: a vacuum packaging machine performs a preservation function, but it does not become an intelligent packaging system just because it removes air from a package. Its example is a meat plant packing fresh beef for supermarkets. The plant may vacuum-pack the beef to reduce the air left inside the package. The package may also carry a QR code tied to batch information such as processing date, production batch and facility, and time-temperature indicators may track storage conditions. The sealer does the first job. The code and the indicator do the other two. Promarks applies the same logic to cheese: a hard block, sliced cheese and a soft cheese may need different materials and packaging approaches, so the choice should be based on the product rather than assuming one solution works for every dairy application.

A vacuum sealer removes air; it does not tell a distributor where the package has been, and that difference is worth settling before the purchase order goes out.

The intelligent side is also wider than most quotes suggest. A 2024 review in Springer's Discover Sustainability lists what the term covers. On the indicator side, that means time-temperature, gas, freshness and pathogen indicators. The sensors include gas and chemical sensors, biosensors, printed electronics and electronic noses. The data carriers include barcodes and RFID. That range suggests the word "smart" on a quote tells a buyer very little until the vendor names the actual component.

Where the spending goes

Fortune Business Insights, in a report updated October 26, sizes the broader food technology market, a wider category than packaging lines alone. Hardware is the largest segment, at approximately 58% of the market. That segment includes smart sensors, processing equipment, robotics, inspection devices and packaging machinery, which suggests most of the money still lands on physical equipment, not software.

The same report calls implementation costs a significant barrier for many organizations, and the cost it describes goes beyond the machine. Robotics, automation and AI need spending on infrastructure, workforce training and system integration. Legacy systems often need upgrades before new platforms can run on them. Compliance and cybersecurity add to the bill. The report says small and medium-sized enterprises may struggle to find the resources for large-scale digital transformation projects.

For processors running older controls, that means the integration estimate deserves as much scrutiny as the equipment price.

Where a machine is the wrong answer

The best test of Salas's argument comes from the other end of the supply base. Packaging Strategies reported on October 31 that Foodshed.io, a platform connecting local farms with large retailers, and Fox Packaging, a flexible packaging supplier to the fresh produce trade, built a packaging solution for small and mid-size farms. It came out of Foodshed.io's pilot with Kroger. That pilot showed the company needed packaging that could bring growers who usually sell at farmers markets into a major grocery store.

The requirements read like an automation spec with the machines taken out. The packaging had to handle a wide range of produce, help preserve it, and ship to many farms on short lead times. It had to be practical for growers without automated packaging equipment and still meet Kroger's presentation and checkout expectations. It also had to identify each grower so the right farm gets credit and payment.

That last requirement is the same identification job Salas gives to RFID and data logging on an automated line. Here, the package handles it at the farm. This is where the case for automation has its limit. It's strongest when one site runs high volumes and many SKUs. When supply comes from many small sites with uneven volumes and capabilities, the spec moves to the material. Victoria Lopez, Fox Packaging's marketing and business development manager, made a similar point: for local produce to scale, packaging has to work across the whole supply chain as well as protect the product.

Making line data survive the truck

Batch data captured at the sealer is only useful if it links to what happens in transport. EXIITO, a beverage manufacturer, notes in an October 26 cold chain guide that temperature monitoring works only when sensors are calibrated, alerts are reviewed and corrective actions are defined ahead of time. It also says packaging for longer journeys should be tested under realistic conditions, not assumed to hold temperature indefinitely. The guide points to ISO/TS 31514:2025, which sets requirements and recommendations for collecting and managing food traceability information across transport, warehousing, loading and unloading.

For anyone with a line quote on the desk, three questions separate the four jobs:

1. Which of the four jobs does this machine solve: seal integrity, batch data, changeover speed or lifting? Which ones stay manual?
2. Is the "smart" feature active or intelligent, and what is the specific component behind it?
3. What do integration with existing controls and the link to cold chain records cost, compared with the machine itself?

The next development to watch is on the farm side. Foodshed.io and Fox Packaging are exploring tighter integration between the packaging and Foodshed.io's AI-driven farmer platform. If that works, small growers would get their traceability from software and a printed pack, not from a line.