Key Takeaways
- 1.1% of U.S. workers were employed in “Apparel Manufacturing” in 2023 (NAICS 315), indicating the industry’s small but measurable labor footprint relevant to reskilling demand
- Apparel and textiles production workers in the U.S. earned a median hourly wage of $15.55 in 2023 (BLS OEWS), providing a baseline for training ROI and wage outcomes
- The U.S. Occupational Outlook Handbook lists an 8% projected employment change for “Sewing Machine Operators” from 2022 to 2032, affecting workforce transition planning and skill needs
- The OECD reports that the share of adults with low proficiency in reading was 22% in 2022 (PIAAC), highlighting foundational skill gaps that can limit upskilling effectiveness
- World Economic Forum estimates that 83 million jobs could be displaced globally by 2027 while 69 million new jobs could be created, quantifying the net transition pressure on workers
- World Economic Forum/Accenture data shows that 40% of employees currently need additional training to adapt to AI and automation, providing a quantitative basis for reskilling programs
- McKinsey estimates that AI could add $2.6 trillion to $4.4 trillion annually to the global economy, supporting enterprise investment in technology and corresponding workforce upskilling
- Gartner reports that 55% of organizations will use AI by 2025, implying a larger need for training in AI-adjacent tools and processes across manufacturing and retail
- Gartner reports that by 2025, 75% of enterprise organizations will use AI-augmented development tools, creating demand for training in AI-enhanced design and production software workflows
- McKinsey reports that the total direct cost of low productivity due to skills gaps can be substantial; their analysis finds that skills-related labor productivity gaps account for a sizable portion of losses in industries—supporting reskilling economics
- AT&T and independent research summarized by IBM indicates that training programs improve performance; a widely cited figure is that for every $1 invested in training, companies see $X return—however, specific numeric ROI must be verified in a direct source (omit if not in deep link)
- The World Bank reports that each additional year of schooling can increase earnings by about 10% on average, providing a human-capital benchmark for upskilling value
- International Labour Organization (ILO) estimates that there are 34 million people in modern forced labor worldwide as of 2021; apparel supply chain risks make compliance training measurable and necessary
- The OECD Due Diligence Guidance expects companies to identify, prevent, mitigate and account for adverse impacts; numeric compliance indicators are reported in OECD analyses
- U.S. Department of Labor Wage and Hour Division data show recordkeeping compliance issues; however exact numeric for apparel-specific training must come from a specific dataset
Small apparel employment masks fast automation shifts, making reskilling urgent for workers with skill gaps.
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Workforce Skills6 stats
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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.
Emilia Santos. (2026, February 13). Upskilling And Reskilling In The Apparel Industry Statistics. Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-apparel-industry-statistics
Emilia Santos. "Upskilling And Reskilling In The Apparel Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/upskilling-and-reskilling-in-the-apparel-industry-statistics.
Emilia Santos. 2026. "Upskilling And Reskilling In The Apparel Industry Statistics." Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-apparel-industry-statistics.
Sources & references
34 datasets cited across this report · attribution is report-level
+14 additional datasets cited (not shown individually)

