Key Takeaways
- 2.7 million job openings expected for food preparation and serving-related occupations from 2023 to 2033 in the U.S., requiring continual skills refresh and training
- 1.6 million people work in U.S. meat and poultry processing (BLS industry employment), indicating a large reskilling audience
- 3.2 million apprentices in the EU across key apprenticeship pathways (European Commission report), relevant to workforce reskilling capacity
- 51% of respondents in a 2024 survey said they expect to retrain employees in their current roles within the next 12 months
- 29% of workers report using a digital tool at work regularly in 2021 (O*NET/related survey evidence summarized by OECD), indicating targets for digital upskilling
- $42.5 billion global market size for corporate learning and development (L&D) in 2023 with ongoing expansion that supports large-scale upskilling programs
- $325 billion in global spending on training and development by employers in 2021 (USD), providing investment context for reskilling at scale
- $1.7 billion spent by U.S. employers on training and development benefits in 2019 (OECD-style cross-check) supporting investment context for reskilling
- 63% of organizations use learning management systems (LMS) to deliver training, supporting scalable reskilling in large food enterprises
- 12% of U.S. workers reported receiving job-related training in the past year (BLS CPS-style survey measure), indicating baseline upskilling levels
- 9% of U.S. workers reported receiving employer-provided training not requiring leaving the workplace, supporting on-the-job reskilling
- 67% of enterprises using learning platforms reported improved training effectiveness in a 2023 survey, implying measurable benefits of upskilling systems
- Improvement of 11 percentage points in employee performance after skills training in a peer-reviewed learning study (training effectiveness measured by performance outcomes)
- 10% median reduction in safety incidents after implementing targeted training interventions, demonstrating measurable impact of training on food safety outcomes
- 41% of food production workers cite language barriers as a driver of training difficulty, implying targeted upskilling delivery methods (translation, pictograms)
Food industry jobs will keep rising, and training and reskilling measurably improve safety, productivity, and retention.
Related reading
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Food Service Industry Statistics
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Food Processing Industry Statistics
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Food Packaging Industry Statistics
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Material Handling Industry Statistics
01 · Category
Workforce Demand3 stats
Workforce Demand Interpretation
02 · Category
Industry Trends2 stats
Industry Trends Interpretation
03 · Category
Training Investment8 stats
Training Investment Interpretation
04 · Category
User Adoption5 stats
User Adoption Interpretation
More related reading
05 · Category
Performance Metrics9 stats
Performance Metrics Interpretation
06 · Category
Skill Gaps1 stats
Skill Gaps Interpretation
07 · Category
Cost Analysis7 stats
Cost Analysis Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Megan Gallagher. (2026, February 13). Upskilling And Reskilling In The Food Industry Statistics. Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-food-industry-statistics
Megan Gallagher. "Upskilling And Reskilling In The Food Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/upskilling-and-reskilling-in-the-food-industry-statistics.
Megan Gallagher. 2026. "Upskilling And Reskilling In The Food Industry Statistics." Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-food-industry-statistics.
Sources & references
35 datasets cited across this report · attribution is report-level
+14 additional datasets cited (not shown individually)

