Key Takeaways
- 44% of employers report having difficulty filling positions due to skills gaps, according to WEF’s 2020 survey data included in the Future of Jobs report.
- 46% of workers say they learned new skills on the job within the last 12 months, according to OECD findings on adult learning (PIAAC-related analysis).
- The U.S. BLS projected employment for manufacturing occupations will grow by 1.6% from 2022 to 2032, implying ongoing reskilling needs for replacement and expansion roles.
- The global market for corporate e-learning (a common delivery method for upskilling) reached $38.8 billion in 2023 and is projected to grow to $117.0 billion by 2030, per Fortune Business Insights.
- The global learning management system (LMS) market was valued at $11.1 billion in 2023 and is projected to reach $27.9 billion by 2030, per Fortune Business Insights.
- The global VR training market is projected to grow from $1.4 billion in 2023 to $8.1 billion by 2030, reflecting adoption of immersive learning for reskilling, per Fortune Business Insights.
- The ETP (European Technology Platform) for the Future of Plastics reported that the plastics value chain is a major contributor to European manufacturing employment, with employment figures cited in their sector profile (1.6 million).
- In 2023, U.S. manufacturing productivity grew by 2.6% (index), requiring workers to adopt improved methods and training for new productivity standards (BLS).
- IEA estimates that manufacturing energy use is substantial and efficiency measures require training: efficiency improvements can cut industrial energy demand, creating skill demand for energy management (IEA).
- McKinsey’s analysis projects productivity impact from automation that changes job tasks, necessitating reskilling across organizations (McKinsey “The future of work”).
- The OECD estimates that spending on training is linked to productivity and earnings, citing large economic returns to adult learning interventions.
- The World Bank’s Skills for Jobs database reports that training can improve employment outcomes, with evidence summarized across programs showing positive impacts that justify reskilling investment.
- NIST’s AI Risk Management Framework (AI RMF 1.0) provides a structured approach to managing risks in AI adoption; organizations using AI-enabled training systems in manufacturing typically implement governance that affects training rollout cost and safety planning.
- In the EU, REACH requires registration of chemical substances manufactured or imported in quantities of 1 metric ton per year or more, affecting operator training and compliance processes for plastics-related chemicals.
- CLP Regulation harmonizes classification, labeling, and packaging of substances and mixtures; labeling requirements apply when a mixture meets specific hazard classification thresholds, driving compliance training for chemical handling in plastics production.
Skills gaps are widely slowing plastics hiring, but training and reskilling efforts are rapidly expanding.
Related reading
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Plastic Industry Statistics
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Material Handling Industry Statistics
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Life Science Industry Statistics
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Automotive Aftermarket Industry Statistics
01 · Category
Compliance & Safety9 stats
Compliance & Safety Interpretation
02 · Category
Workforce Transition6 stats
Workforce Transition Interpretation
03 · Category
Industry Skills Demand6 stats
Industry Skills Demand Interpretation
More related reading
04 · Category
Technology & Training5 stats
Technology & Training Interpretation
05 · Category
Market Size4 stats
Market Size Interpretation
06 · Category
Industry Overview12 stats
Industry Overview Interpretation
Skills gaps create ongoing reskilling pressure
Employers report difficulty filling roles due to skills gaps, while a substantial share of workers report learning new skills on the job—highlighting the need for continual upskilling and reskilling in manufacturing and related plastics roles.
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.
Stefan Wendt. (2026, February 13). Upskilling And Reskilling In The Plastics Industry Statistics. Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-plastics-industry-statistics
Stefan Wendt. "Upskilling And Reskilling In The Plastics Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/upskilling-and-reskilling-in-the-plastics-industry-statistics.
Stefan Wendt. 2026. "Upskilling And Reskilling In The Plastics Industry Statistics." Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-plastics-industry-statistics.
Sources & references
42 datasets cited across this report · attribution is report-level
+15 additional datasets cited (not shown individually)

