Key Takeaways
- 65% of people are “visual learners,” according to the VARK learning styles model
- 70% of viewers watch video on mobile devices, indicating mobile is a major channel for visual learning content consumption
- The majority of L&D teams (60%) say they plan to increase the use of video over the next 12 months, per the cited survey
- 70% of enterprises increased spending on learning and development budgets in 2023, indicating ongoing demand for scalable visual learning content
- 77% of L&D professionals expect AI to play a role in learning programs within 2 years, aligning with personalized visual learning experiences
- Organizations using video report 62% faster learning and onboarding outcomes
- 27% of training professionals use video-based training to support learning goals more effectively than other media
- In a meta-analysis of multimedia learning, learning outcomes improved relative to single-modality instruction (multimedia vs. text-only), with an overall positive effect
- $5.4 billion global e-learning video market value in 2023 (video-centric e-learning segment) as reported by the cited market research source
- $345.4 billion global e-learning market size in 2022 as forecast by a cited market report
- $187.4 billion global learning management system (LMS) market revenue in 2020 (LMS market size reported by the cited firm)
- 6.94% year-over-year increase in U.S. high school graduation rates over 2019–2022, supporting larger cohorts that later adopt visual learning tools
- 4.3% of U.S. adults (aged 25+) had completed a degree in 2022, providing a baseline for adoption of advanced learning tools
- The meta-analysis on multimedia learning reports an average effect size favoring combined words-and-pictures instruction of g ≈ 0.63
- 58% of companies report that they use a learning platform (LMS or LXP) that supports video content, based on a 2021 survey by Training Industry.
Visual learning is booming, with mobile video and AI driving faster outcomes for learners and training teams.
Learner Adoption
Learner Adoption Interpretation
Industry Trends
Industry Trends Interpretation
Learning Outcomes
Learning Outcomes Interpretation
Market Size
Market Size Interpretation
Performance Metrics
Performance Metrics Interpretation
User Adoption
User Adoption Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
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). Visual Learning Statistics. Gitnux. https://gitnux.org/visual-learning-statistics
Emilia Santos. "Visual Learning Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/visual-learning-statistics.
Emilia Santos. 2026. "Visual Learning Statistics." Gitnux. https://gitnux.org/visual-learning-statistics.
References
- 1vark-learn.com/introduction-to-vark/
- 2livestory.com/blog/video-marketing-statistics/
- 3wyzowl.com/video-marketing-statistics/
- 4www2.deloitte.com/us/en/insights/focus/human-capital-trends.html
- 5glassdoor.com/research/learning-and-development-statistics/
- 6gartner.com/en/newsroom/press-releases/2021-02-12-gartner-says-80-of-gamified-apps-fail-to-meet-business-goals
- 7elearningindustry.com/microlearning-statistics/
- 8capterra.com/learning-experience-platform-software/
- 9linkedin.com/pulse/workplace-learning-preferences-employees-short-videos-animations-survey
- 10skillsoft.com/insights/research-library/brandon-hall-group-video-learning-trends
- 11hbs.edu/faculty/Pages/item.aspx?num=38800
- 12trainingindustry.com/articles/media-and-social-learning/learning-and-development-stats-2019-video-training/
- 35trainingindustry.com/articles/learning-strategy/the-state-of-lms-in-2021/
- 13psycnet.apa.org/record/2005-07184-001
- 27psycnet.apa.org/record/2013-15231-001
- 32psycnet.apa.org/record/2003-04979-001
- 14sciencedirect.com/science/article/pii/S0364021317300468
- 15sciencedirect.com/science/article/pii/S0364021315001009
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- 29sciencedirect.com/science/article/pii/S0360131520300696
- 16grandviewresearch.com/industry-analysis/learning-management-system-lms-market
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- 19globenewswire.com/en/news-release/2021/01/27/2169046/0/en/Global-Video-Conferencing-Market-Size-Will-Reach-33-4-Billion-by-2026-Says-Future-Market-Insights.html
- 20verifiedmarketresearch.com/product/augmented-reality-market/
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- 22businesswire.com/news/home/20221010005262/en/Digital-Content-Creation-Software-Market-to-Reach-20-2-Billion-by-2030-Says-Data-Intelligence
- 23bls.gov/oes/current/oes131071.htm
- 24pewresearch.org/internet/fact-sheet/internet-broadband/
- 25nces.ed.gov/programs/digest/d23/tables/dt23_219.20.asp
- 26nces.ed.gov/programs/coe/indicator/cgh/complete-degree
- 31nces.ed.gov/programs/digest/d22/tables/dt22_204.10.asp
- 30journals.sagepub.com/doi/10.1177/0018720815594870
- 33doi.org/10.1016/j.learninstruc.2018.05.003
- 34visible-learning.org/hattie-ranking/







