Key Takeaways
- 42% of employees say information is hard to find at work
- 80% of what people learn is forgotten within 24 hours without reinforcement (Ebbinghaus forgetting curve)
- 63% of information is retained after 20 minutes when no effort is made to retain it (Ebbinghaus forgetting curve relationship, widely cited)
- A meta-analysis found that retrieval practice improves long-term retention with an average effect size of g≈0.78
- The global corporate learning management system (LMS) market was valued at $21.2 billion in 2023 and is projected to reach $44.3 billion by 2030
- The global knowledge management software market is projected to grow from $12.3 billion in 2024 to $23.4 billion by 2030
- The global e-learning market is expected to reach $404.1 billion by 2026 (from $180.0 billion in 2020)
- On average, employees retain 25% to 60% more material when training is delivered via e-learning rather than traditional methods
- Companies using learning and development platforms report 10% higher employee productivity on average (vendor research survey result)
- A 2016 meta-analysis found that workplace training programs produce average effect sizes corresponding to meaningful improvements in job performance
- The WHO estimates that over 10% of the world’s population has a hearing loss in one ear (hearing impairment affects training comprehension and retention for a subset of workers)
- The WEF estimates that 44% of workers’ skills will be disrupted by 2022 (impacts retention needs as knowledge refresh cycles accelerate)
- McKinsey reports that 30% of US work activities could be automated with current technology (increasing the need for retention of changing task knowledge)
- 56% of organizations report using learning analytics (e.g., tracking engagement and assessment results) to evaluate training effectiveness
- 1.5x average improvement in assessment scores after implementing spaced and retrieval-based study methods (compared with traditional approaches) in a 2022 workplace training evaluation study
Retrieval and spaced learning beat forgetting, boosting long term retention and productivity for teams.
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Knowledge retention drops fast—then improves with reinforcement and retrieval practice
Retention declines sharply within the first day without reinforcement, while strategies like retrieval practice and supportive learning methods help improve what people retain over time.
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.
Nathan Caldwell. (2026, February 13). Knowledge Retention Statistics. Gitnux. https://gitnux.org/knowledge-retention-statistics
Nathan Caldwell. "Knowledge Retention Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/knowledge-retention-statistics.
Nathan Caldwell. 2026. "Knowledge Retention Statistics." Gitnux. https://gitnux.org/knowledge-retention-statistics.
Sources & references
37 datasets cited across this report · attribution is report-level
+14 additional datasets cited (not shown individually)

