Key Takeaways
- 2023: 33% of workers report their job requires skills they do not have (skills mismatch)
- 2023: The world needs 20.4 million additional cybersecurity workers by 2025 (global estimate)
- 2023: 44% of workers say they need training in digital skills to stay employed
- $35.4 billion: global learning management system (LMS) market revenue in 2023
- $28.1 billion: global corporate e-learning market size in 2022
- 2023: 46% of enterprises reported they planned to increase spending on training over the next 12 months
- 2024: 72% of organizations using e-learning say it improved employee skills development
- 2023: Udemy Business reported over 12,000 courses available to its business subscribers
- 2022: 1 in 5 workers used online learning to improve job skills at least once in the last year (OECD survey evidence)
- 2021 meta-analysis: job training increases productivity by about 22% on average (effect size estimate)
- 2023: OSHA reported 3.6 million workplace injuries and illnesses in 2022 across all industries (baseline safety context)
- 2022: Training-related safety incidents decreased by 18% after implementation of competency-based operator training in a chemicals study
Over half of workers and enterprises face skills gaps, driving major investment in e learning and training.
Related reading
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- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Life Science Industry Statistics
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Cloud Computing Industry Statistics
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Pet Food Industry Statistics
01 · Category
Skills Demand & Gaps8 stats
Skills Demand & Gaps Interpretation
02 · Category
Training & Reskilling Investment4 stats
Training & Reskilling Investment Interpretation
More related reading
03 · Category
Digital Learning Adoption6 stats
Digital Learning Adoption Interpretation
04 · Category
Performance & Outcomes4 stats
Performance & Outcomes 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.
Diana Reeves. (2026, February 13). Upskilling And Reskilling In The Chemical Industry Statistics. Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-chemical-industry-statistics
Diana Reeves. "Upskilling And Reskilling In The Chemical Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/upskilling-and-reskilling-in-the-chemical-industry-statistics.
Diana Reeves. 2026. "Upskilling And Reskilling In The Chemical Industry Statistics." Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-chemical-industry-statistics.
Sources & references
22 datasets cited across this report · attribution is report-level
+4 additional datasets cited (not shown individually)

