$184 billion in global AI spending is forecast for 2025, yet many organizations still lose 2.9% of learning spend to unproductive training. Meanwhile, nearly half of the organizations using learning platforms or LMS report gaps in measuring effectiveness beyond training activity. Let’s sort what’s actually improving performance from what’s quietly draining time and money, using the most telling statistics.
Key Takeaways
- 2.9% of learning spend lost to unproductive training (ATD benchmark)
- $2.3 million average cost of an AI-enabled deepfake attack in 2023 (FortiGuard/VMware)
- 57% of organizations cite high costs as a barrier to adopting security automation (Thales survey)
- 56% of organizations say they use learning platforms/LMS for training
- 59% of workers say generative AI makes it easier to do their job (Microsoft Work Trend Index 2024)
- 23% of workers report they have received training on how to use generative AI at work (survey)
- $3.1 billion global workforce management software market forecast for 2032
- $120.9 billion global talent management software market forecast for 2030
- $84.0 billion global HR technology (HR Tech) market forecast for 2030
- $5.7 trillion worldwide IT spending forecast for 2025
- $350 million global spend on learning management systems (LMS) in 2023 in the US (Capterra estimate)
- 73% of organizations expect generative AI to be adopted by 2024 for some business functions (Gartner)
- 10% improvement in employee productivity associated with training effectiveness (OECD/ILO synthesis)
- 36% reduction in training time with e-learning vs classroom in meta-analysis (Russell et al., 2020)
- 24% increase in test scores with blended learning (meta-analysis by Bernard et al., 2014)
Upgrading training and using AI can cut wasted learning time, speed onboarding, and strengthen security.
Related reading
01 · Category
Cost Analysis9 stats
01
2.9% of learning spend lost to unproductive training (ATD benchmark)
02
$2.3 million average cost of an AI-enabled deepfake attack in 2023 (FortiGuard/VMware)
03
57% of organizations cite high costs as a barrier to adopting security automation (Thales survey)
04
$1.2 million average annual cost of downtime per enterprise (IBM/Microsoft research)
05
$500per employee per year average cost of learning content creation inefficiency (Association for Talent Development estimates)
06
$8.7 million average cost of cybercrime per organization (Cybersecurity Ventures estimates)
07
$25,000average cost of a critical incident due to misconfiguration (CISA incident costs summary)
08
Teams using AI assistance report 20–30% faster onboarding time (industry survey)
09
14% of organizations report a cybersecurity incident caused by phishing within the last year (Verizon DBIR, 2024)
Interpretation
Cost Analysis Interpretation
Across cost analysis data, organizations lose significant money to preventable security and training waste, with high costs cited as a barrier to automation by 57% of firms, alongside billions in risk signals like $2.3 million per AI-enabled deepfake attack and $8.7 million average cybercrime per organization.
02 · Category
User Adoption3 stats
01
56% of organizations say they use learning platforms/LMS for training
02
59% of workers say generative AI makes it easier to do their job (Microsoft Work Trend Index 2024)
03
23% of workers report they have received training on how to use generative AI at work (survey)
Interpretation
User Adoption Interpretation
User Adoption is lagging despite strong AI momentum, because while 59% of workers say generative AI makes their job easier and 56% of organizations use LMS platforms for training, only 23% report receiving training on how to use generative AI at work.
03 · Category
Market Size4 stats
01
$3.1 billion global workforce management software market forecast for 2032
02
$120.9 billion global talent management software market forecast for 2030
03
$84.0 billion global HR technology (HR Tech) market forecast for 2030
04
$90.3 billion global e-learning market size forecast for 2025 (report estimate)
Interpretation
Market Size Interpretation
From a Market Size perspective, the HR, talent, and workforce software ecosystem is set to scale dramatically with a $120.9 billion global talent management software market forecast for 2030 and an $84.0 billion HR tech market forecast for 2030 alongside a $3.1 billion workforce management software forecast for 2032.
More related reading
04 · Category
Industry Trends8 stats
01
$5.7 trillion worldwide IT spending forecast for 2025
02
$350 million global spend on learning management systems (LMS) in 2023 in the US (Capterra estimate)
03
73% of organizations expect generative AI to be adopted by 2024 for some business functions (Gartner)
04
75% of organizations plan to use GenAI in business processes by 2026 (Gartner survey)
05
30% of enterprise leaders report that AI is already integrated into their organizations’ workflows (Gartner)
06
$11.7 billion global AI market revenue in 2023 (IDC)
07
$184 billion global AI spending forecast for 2025 (IDC)
08
44% of organizations reported that employee training is a top use case for AI (survey)
Interpretation
Industry Trends Interpretation
Industry Trends data point to a rapid acceleration in AI and related learning investment, with $184 billion in global AI spending forecast for 2025 and 44% of organizations citing employee training as a top use case.
05 · Category
Performance Metrics8 stats
01
10% improvement in employee productivity associated with training effectiveness (OECD/ILO synthesis)
02
36% reduction in training time with e-learning vs classroom in meta-analysis (Russell et al., 2020)
03
24% increase in test scores with blended learning (meta-analysis by Bernard et al., 2014)
04
17% higher performance with spaced practice vs massed practice (Cepeda et al., 2006 meta-analysis)
05
48% reduction in time to find answers with AI knowledge assistants (Gartner case/insight)
06
20% increase in agent productivity from chatbots (IBM study)
07
38% of learning and development leaders say they measure training effectiveness using business impact metrics (2024 survey)
08
Employees who train weekly are 3.2x more likely to be highly engaged (learning culture study)
Interpretation
Performance Metrics Interpretation
Overall, the performance metrics show training and enablement can drive measurable gains, with e-learning cutting training time by 36% and AI knowledge assistants reducing time to find answers by 48%, while engagement also rises as weekly training makes employees 3.2 times more likely to be highly engaged.
Reference
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.
APA
Rachel Svensson. (2026, February 13). Help Me With Statistics. Gitnux. https://gitnux.org/help-me-with-statistics
MLA
Rachel Svensson. "Help Me With Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/help-me-with-statistics.
Chicago
Rachel Svensson. 2026. "Help Me With Statistics." Gitnux. https://gitnux.org/help-me-with-statistics.
Sources & references
32 datasets cited across this report · attribution is report-level
+11 additional datasets cited (not shown individually)