Visual Learning Statistics

GITNUXREPORT 2026

Visual Learning Statistics

With 70% of viewers watching video on mobile and 60% of L&D teams planning to increase video over the next 12 months, Visual Learning data makes it clear that the format is shifting fast. You will also see why visuals beat text alone, including faster learning and onboarding from video plus measurable gains from diagrams, concept maps, and worked examples.

35 statistics35 sources6 sections7 min readUpdated today

Key Statistics

Statistic 1

65% of people are “visual learners,” according to the VARK learning styles model

Statistic 2

70% of viewers watch video on mobile devices, indicating mobile is a major channel for visual learning content consumption

Statistic 3

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

Statistic 4

70% of enterprises increased spending on learning and development budgets in 2023, indicating ongoing demand for scalable visual learning content

Statistic 5

77% of L&D professionals expect AI to play a role in learning programs within 2 years, aligning with personalized visual learning experiences

Statistic 6

Gamification is used by 53% of organizations for learning and development purposes in 2021, supporting visual learning via game mechanics

Statistic 7

Microlearning is used by 66% of organizations for training in 2021 per the cited industry survey

Statistic 8

In 2023, 55% of organizations reported adopting learning experience platforms (LXP), which commonly support visual and multimedia learning

Statistic 9

In 2022, 58% of employees preferred learning through short videos or animations rather than lengthy courses (as reported by the cited workplace learning survey)

Statistic 10

38% of L&D leaders say they are “very” or “extremely” likely to use video as a learning format, per a 2020 survey by Brandon Hall Group (under Skillsoft).

Statistic 11

Organizations using video report 62% faster learning and onboarding outcomes

Statistic 12

27% of training professionals use video-based training to support learning goals more effectively than other media

Statistic 13

In a meta-analysis of multimedia learning, learning outcomes improved relative to single-modality instruction (multimedia vs. text-only), with an overall positive effect

Statistic 14

Visual learners show higher accuracy when instructional diagrams match the learner’s mental model in the cited cognitive psychology experiment

Statistic 15

In an experiment comparing diagram-based instruction vs. text-only, diagram-based instruction yielded 19% higher test scores

Statistic 16

$5.4 billion global e-learning video market value in 2023 (video-centric e-learning segment) as reported by the cited market research source

Statistic 17

$345.4 billion global e-learning market size in 2022 as forecast by a cited market report

Statistic 18

$187.4 billion global learning management system (LMS) market revenue in 2020 (LMS market size reported by the cited firm)

Statistic 19

$22.5 billion global video conferencing market size in 2020, illustrating the scale of synchronous visual learning collaboration tooling

Statistic 20

$11.6 billion global AR education market size in 2022 per the cited market report

Statistic 21

$5.2 billion global virtual reality (VR) in education market size in 2023 per the cited report

Statistic 22

$1.0 billion global digital content creation tools market size in 2022, relevant to producing visual learning assets

Statistic 23

The U.S. Bureau of Labor Statistics reports that employment in “training and development” occupations is 1.0 million (2023), indicating a large workforce supporting visual learning implementation at scale.

Statistic 24

In the U.S., 86% of adults reported using the internet in 2022 (Pew Research Center), supporting widespread access to visual online learning.

Statistic 25

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

Statistic 26

4.3% of U.S. adults (aged 25+) had completed a degree in 2022, providing a baseline for adoption of advanced learning tools

Statistic 27

The meta-analysis on multimedia learning reports an average effect size favoring combined words-and-pictures instruction of g ≈ 0.63

Statistic 28

Students exposed to worked examples with diagrams rather than text-only achieve higher performance on problem-solving tests in the cited study

Statistic 29

Students using concept maps improved learning outcomes by an average 0.45 standard deviations relative to controls (as reported by the cited meta-analysis)

Statistic 30

Visual feedback in e-learning improves task accuracy by about 10–20% in the cited human factors research review

Statistic 31

In the U.S., 79% of public schools had access to the internet in 2020–2021 (NCES), supporting visual online learning delivery

Statistic 32

Students in multimedia learning conditions (words + pictures) perform better than text-only conditions on average in Mayer & Moreno’s cognitive theory of multimedia learning research synthesis (positive effect reported across studies).

Statistic 33

Diagram-based worked examples improve learner performance versus text-only for problem solving; across studies, gains are statistically significant with medium effect sizes (as synthesized in a 2018 peer-reviewed review).

Statistic 34

Learners retain more information when visuals are integrated with explanations rather than presented alone; an effectiveness synthesis reports a mean improvement of 0.4 standard deviations for combined visual-text instruction (Hattie-style synthesis).

Statistic 35

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.

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01Primary Source Collection

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02Editorial Curation

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03AI-Powered Verification

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Video is already built into how people learn, with 70% of viewers watching on mobile devices and 65% of people fitting the “visual learner” profile in the VARK model. Yet the gap between intention and impact is where things get interesting, since organizations plan to increase video use by 60% over the next 12 months while video users report notably faster learning and onboarding outcomes. Below, you’ll see how visuals, diagrams, and multimedia evidence stack up across research findings and market scale.

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

165% of people are “visual learners,” according to the VARK learning styles model[1]
Verified
270% of viewers watch video on mobile devices, indicating mobile is a major channel for visual learning content consumption[2]
Verified

Learner Adoption Interpretation

Within the Learner Adoption category, the VARK model suggests 65% of people learn best visually, and with 70% of viewers watching on mobile, there is strong evidence that visual learning content should be optimized for mobile-first delivery.

Learning Outcomes

1Organizations using video report 62% faster learning and onboarding outcomes[11]
Verified
227% of training professionals use video-based training to support learning goals more effectively than other media[12]
Verified
3In a meta-analysis of multimedia learning, learning outcomes improved relative to single-modality instruction (multimedia vs. text-only), with an overall positive effect[13]
Single source
4Visual learners show higher accuracy when instructional diagrams match the learner’s mental model in the cited cognitive psychology experiment[14]
Verified
5In an experiment comparing diagram-based instruction vs. text-only, diagram-based instruction yielded 19% higher test scores[15]
Verified

Learning Outcomes Interpretation

For Learning Outcomes, the evidence strongly favors visual learning methods, with video tied to 62% faster learning and onboarding and diagram-based instruction delivering 19% higher test scores than text-only while overall multimedia learning shows improved results over single-modality approaches.

Market Size

1$5.4 billion global e-learning video market value in 2023 (video-centric e-learning segment) as reported by the cited market research source[16]
Verified
2$345.4 billion global e-learning market size in 2022 as forecast by a cited market report[17]
Verified
3$187.4 billion global learning management system (LMS) market revenue in 2020 (LMS market size reported by the cited firm)[18]
Verified
4$22.5 billion global video conferencing market size in 2020, illustrating the scale of synchronous visual learning collaboration tooling[19]
Verified
5$11.6 billion global AR education market size in 2022 per the cited market report[20]
Single source
6$5.2 billion global virtual reality (VR) in education market size in 2023 per the cited report[21]
Verified
7$1.0 billion global digital content creation tools market size in 2022, relevant to producing visual learning assets[22]
Verified
8The U.S. Bureau of Labor Statistics reports that employment in “training and development” occupations is 1.0 million (2023), indicating a large workforce supporting visual learning implementation at scale.[23]
Verified
9In the U.S., 86% of adults reported using the internet in 2022 (Pew Research Center), supporting widespread access to visual online learning.[24]
Single source

Market Size Interpretation

The market-size picture for visual learning is expanding rapidly, with the global e-learning video segment reaching $5.4 billion in 2023 and the overall e-learning market projected at $345.4 billion in 2022, showing that video-centric and related platforms are already driving a massive, growing demand.

Performance Metrics

16.94% year-over-year increase in U.S. high school graduation rates over 2019–2022, supporting larger cohorts that later adopt visual learning tools[25]
Single source
24.3% of U.S. adults (aged 25+) had completed a degree in 2022, providing a baseline for adoption of advanced learning tools[26]
Verified
3The meta-analysis on multimedia learning reports an average effect size favoring combined words-and-pictures instruction of g ≈ 0.63[27]
Verified
4Students exposed to worked examples with diagrams rather than text-only achieve higher performance on problem-solving tests in the cited study[28]
Directional
5Students using concept maps improved learning outcomes by an average 0.45 standard deviations relative to controls (as reported by the cited meta-analysis)[29]
Single source
6Visual feedback in e-learning improves task accuracy by about 10–20% in the cited human factors research review[30]
Verified
7In the U.S., 79% of public schools had access to the internet in 2020–2021 (NCES), supporting visual online learning delivery[31]
Verified
8Students in multimedia learning conditions (words + pictures) perform better than text-only conditions on average in Mayer & Moreno’s cognitive theory of multimedia learning research synthesis (positive effect reported across studies).[32]
Single source
9Diagram-based worked examples improve learner performance versus text-only for problem solving; across studies, gains are statistically significant with medium effect sizes (as synthesized in a 2018 peer-reviewed review).[33]
Verified
10Learners retain more information when visuals are integrated with explanations rather than presented alone; an effectiveness synthesis reports a mean improvement of 0.4 standard deviations for combined visual-text instruction (Hattie-style synthesis).[34]
Single source

Performance Metrics Interpretation

For Performance Metrics, the evidence shows visual learning can materially lift outcomes, with multimedia word and picture instruction producing an average effect size around g 0.63 and concept maps improving results by about 0.45 standard deviations while e-learning visual feedback boosts task accuracy by roughly 10 to 20 percent.

User Adoption

158% of companies report that they use a learning platform (LMS or LXP) that supports video content, based on a 2021 survey by Training Industry.[35]
Verified

User Adoption Interpretation

For the user adoption angle, 58% of companies say they already use a learning platform that supports video, showing that visual learning is gaining real traction in mainstream workplace training.

How We Rate Confidence

Models

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.

Single source
ChatGPTClaudeGeminiPerplexity

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

Directional
ChatGPTClaudeGeminiPerplexity

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

Verified
ChatGPTClaudeGeminiPerplexity

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

Models

Cite This Report

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APA
Emilia Santos. (2026, February 13). Visual Learning Statistics. Gitnux. https://gitnux.org/visual-learning-statistics
MLA
Emilia Santos. "Visual Learning Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/visual-learning-statistics.
Chicago
Emilia Santos. 2026. "Visual Learning Statistics." Gitnux. https://gitnux.org/visual-learning-statistics.

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