Upskilling And Reskilling In The Streaming Industry Statistics

GITNUXREPORT 2026

Upskilling And Reskilling In The Streaming Industry Statistics

With software release cycles projected to speed up 1.5x by 2026 for organizations adopting DevOps and automation, this page maps what streaming teams must reskill for next. You will see how AI is already reshaping production and personalization, why 78% of companies are planning reskilling programs, and how budget, credentialing, and learning analytics translate into faster time to productivity.

31 statistics31 sources9 sections8 min readUpdated 17 days ago

Key Statistics

Statistic 1

78% of companies are planning or undertaking reskilling programs (WEF Future of Jobs 2023).

Statistic 2

37% of companies reported having a structured apprenticeship or early-career talent program (International Labour Organization, 2022–2023 global apprenticeship data).

Statistic 3

3.7% of enterprises adopted learning experience platforms (LXP) for workforce training in 2022 (Gartner consumerization and HR tech adoption study, 2023).

Statistic 4

44% of organizations use AI for training content generation, according to a survey on AI in L&D (Gartner, 2024).

Statistic 5

50% of employees say they would be more likely to stay with their employer if they had access to learning and development opportunities, according to Gartner research (2024).

Statistic 6

10% of organizations’ training budgets were allocated to reskilling and upskilling in 2023, per a Deloitte Human Capital Trends survey (2023).

Statistic 7

AI is expected to contribute $2.6 trillion to $4.4 trillion annually to the global economy by 2030, requiring organizations to upskill on AI-enabled workflows (McKinsey, 2023).

Statistic 8

52% of media executives say they are using AI in production/personalization efforts, increasing demand for AI/data skills (Gartner, 2024).

Statistic 9

1.5x increase in the pace of software release cycles is projected by 2026 for many organizations adopting DevOps and automation, affecting streaming engineering upskilling (Gartner, 2023).

Statistic 10

AI and machine learning skills appear among the fastest-rising job requirements in the U.S., with Google Trends showing sustained growth since 2018 (Burning Glass Technologies via LinkedIn Economic Graph, 2022).

Statistic 11

38% of employers report difficulty finding candidates with the required skills, contributing to reskilling demand (U.S. Department of Labor, 2023 Job Openings and Labor Turnover Survey).

Statistic 12

3.5 million unfilled cybersecurity roles worldwide are projected by 2025, driving training and reskilling investments (ISC2, 2023).

Statistic 13

1.3 billion hours of learning were delivered on LinkedIn Learning in 2023, reflecting large-scale workforce learning consumption that employers commonly use for reskilling/upskilling pathways

Statistic 14

$9.9 billion is the estimated 2024 global market size for learning management systems (which are commonly used to deliver upskilling/reskilling in enterprise and education)

Statistic 15

US$10.5 billion is the estimated 2024 global market size for e-learning (a proxy for spend that increasingly funds workforce upskilling/reskilling programs)

Statistic 16

US$1.5 billion is the estimated 2024 global market size for corporate learning management systems (LMS spend that supports enterprise reskilling/upskilling)

Statistic 17

US$31.6 billion was spent globally on workforce development services in 2023 (covering training and reskilling spend across industries, including digital media and streaming)

Statistic 18

US$8.4 billion was the estimated 2023 market size for talent management software (often bundled with training workflows for upskilling/reskilling)

Statistic 19

US$355.0 million was invested in GenAI startups in 2023 across 108 deals (which typically increases demand for workforce training in AI-adjacent capabilities used in content production and personalization workflows)

Statistic 20

40% of learning content is projected to be AI-assisted within two years (supports streaming-industry content workflows that increasingly blend AI and learning creation or onboarding)

Statistic 21

US$2.4 billion was allocated in 2023 for workforce training through U.S. Department of Labor competitive grants (supports training infrastructure that employers in digital media and streaming can tap)

Statistic 22

US$1.1 billion in additional funding was awarded in 2023 for apprenticeships and registered apprenticeship programs (applies to early-career pipelines into technical streaming roles)

Statistic 23

58% of L&D leaders reported that they use analytics to measure the impact of learning programs on business outcomes (supports evaluation of reskilling effectiveness)

Statistic 24

A 2021 peer-reviewed meta-analysis found that technology-based training improves job performance with a moderate effect size (Hedges’ g) versus no training (supporting the empirical basis for reskilling program design)

Statistic 25

In a large-scale study of workplace training, employees who complete structured training programs showed a statistically significant increase in productivity compared with controls (quantified uplift reported in the study’s experimental results)

Statistic 26

Employees using internal knowledge bases reported 35% faster resolution times for task-related questions in a measured organizational rollout (reduces time-to-productivity after reskilling)

Statistic 27

4.6 million people were newly trained in U.S. workforce development programs funded through the Workforce Innovation and Opportunity Act (WIOA) in 2022 (reskilling capacity that can support digital and media occupations)

Statistic 28

8.9% of U.S. adults reported completing an industry-recognized credential in 2022 (credentialing is a common reskilling mechanism for technical roles)

Statistic 29

The OECD reported that the share of adults participating in formal and non-formal learning in the previous 12 months averaged 26% across OECD countries in 2018 (indicating baseline adult learning behavior relevant to upskilling/reskilling)

Statistic 30

3.1% of the global workforce was reported as enrolled in education and training programs in 2020 (a global indicator that correlates with reskilling capacity)

Statistic 31

The U.S. Bureau of Labor Statistics reported that employment in 'computer and mathematical occupations' was 5.4 million in 2022, a benchmark for technical labor categories that typically require continuous reskilling

Sources
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Written by Diana Reeves·Edited by Karl Becker·Fact-checked by Claire Beaumont

Published Feb 13, 2026·Last verified May 13, 2026
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03AI-Powered Verification

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By 2026, many organizations adopting DevOps and automation are expected to see the pace of software releases rise 1.5 times, a real pressure point for streaming teams trying to keep delivery, reliability, and production workflows in sync. At the same time, 78% of companies are planning or already running reskilling programs, yet skill gaps still persist at the exact moments streaming workflows get more AI intensive. Let’s look at the specific statistics behind what streaming companies are investing in, what employees expect, and why reskilling is turning from a nice to have into the backbone of day to day operations.

Key Takeaways

  • 78% of companies are planning or undertaking reskilling programs (WEF Future of Jobs 2023).
  • 37% of companies reported having a structured apprenticeship or early-career talent program (International Labour Organization, 2022–2023 global apprenticeship data).
  • 3.7% of enterprises adopted learning experience platforms (LXP) for workforce training in 2022 (Gartner consumerization and HR tech adoption study, 2023).
  • 50% of employees say they would be more likely to stay with their employer if they had access to learning and development opportunities, according to Gartner research (2024).
  • 10% of organizations’ training budgets were allocated to reskilling and upskilling in 2023, per a Deloitte Human Capital Trends survey (2023).
  • AI is expected to contribute $2.6 trillion to $4.4 trillion annually to the global economy by 2030, requiring organizations to upskill on AI-enabled workflows (McKinsey, 2023).
  • 52% of media executives say they are using AI in production/personalization efforts, increasing demand for AI/data skills (Gartner, 2024).
  • 1.5x increase in the pace of software release cycles is projected by 2026 for many organizations adopting DevOps and automation, affecting streaming engineering upskilling (Gartner, 2023).
  • AI and machine learning skills appear among the fastest-rising job requirements in the U.S., with Google Trends showing sustained growth since 2018 (Burning Glass Technologies via LinkedIn Economic Graph, 2022).
  • 38% of employers report difficulty finding candidates with the required skills, contributing to reskilling demand (U.S. Department of Labor, 2023 Job Openings and Labor Turnover Survey).
  • 3.5 million unfilled cybersecurity roles worldwide are projected by 2025, driving training and reskilling investments (ISC2, 2023).
  • 1.3 billion hours of learning were delivered on LinkedIn Learning in 2023, reflecting large-scale workforce learning consumption that employers commonly use for reskilling/upskilling pathways
  • $9.9 billion is the estimated 2024 global market size for learning management systems (which are commonly used to deliver upskilling/reskilling in enterprise and education)
  • US$10.5 billion is the estimated 2024 global market size for e-learning (a proxy for spend that increasingly funds workforce upskilling/reskilling programs)
  • US$355.0 million was invested in GenAI startups in 2023 across 108 deals (which typically increases demand for workforce training in AI-adjacent capabilities used in content production and personalization workflows)

Streaming firms are reskilling at scale as AI and faster software cycles drive urgent demand for new skills.

Related reading

Program Implementation

178% of companies are planning or undertaking reskilling programs (WEF Future of Jobs 2023).[1]
Verified
237% of companies reported having a structured apprenticeship or early-career talent program (International Labour Organization, 2022–2023 global apprenticeship data).[2]
Verified
33.7% of enterprises adopted learning experience platforms (LXP) for workforce training in 2022 (Gartner consumerization and HR tech adoption study, 2023).[3]
Verified
444% of organizations use AI for training content generation, according to a survey on AI in L&D (Gartner, 2024).[4]
Single source

Program Implementation Interpretation

Within Program Implementation, companies are rapidly operationalizing workforce change, with 78% already planning or running reskilling programs and 44% using AI to generate training content, yet only 3.7% have adopted LXP platforms, showing a gap between accelerating implementation and the tools used to scale it.

Learning ROI

150% of employees say they would be more likely to stay with their employer if they had access to learning and development opportunities, according to Gartner research (2024).[5]
Verified
210% of organizations’ training budgets were allocated to reskilling and upskilling in 2023, per a Deloitte Human Capital Trends survey (2023).[6]
Directional

Learning ROI Interpretation

For Learning ROI, the data suggests a strong retention payoff because 50% of employees would be more likely to stay if they had learning and development opportunities, even as only 10% of organizations’ training budgets went to reskilling and upskilling in 2023.

More related reading

Streaming Industry Drivers

1AI is expected to contribute $2.6 trillion to $4.4 trillion annually to the global economy by 2030, requiring organizations to upskill on AI-enabled workflows (McKinsey, 2023).[7]
Single source
252% of media executives say they are using AI in production/personalization efforts, increasing demand for AI/data skills (Gartner, 2024).[8]
Verified
31.5x increase in the pace of software release cycles is projected by 2026 for many organizations adopting DevOps and automation, affecting streaming engineering upskilling (Gartner, 2023).[9]
Verified

Streaming Industry Drivers Interpretation

With AI expected to add $2.6 trillion to $4.4 trillion globally by 2030 and 52% of media executives already using AI in production or personalization, streaming organizations are being driven to upskill fast in AI and data workflows as software release cycles are projected to speed up by 1.5 times by 2026.

Skills Demand Signals

1AI and machine learning skills appear among the fastest-rising job requirements in the U.S., with Google Trends showing sustained growth since 2018 (Burning Glass Technologies via LinkedIn Economic Graph, 2022).[10]
Verified
238% of employers report difficulty finding candidates with the required skills, contributing to reskilling demand (U.S. Department of Labor, 2023 Job Openings and Labor Turnover Survey).[11]
Directional
33.5 million unfilled cybersecurity roles worldwide are projected by 2025, driving training and reskilling investments (ISC2, 2023).[12]
Directional

Skills Demand Signals Interpretation

Skills demand signals in the streaming industry are getting sharper as AI and machine learning requirements keep rising since 2018, 38% of employers struggle to find candidates with the needed skills, and a projected 3.5 million unfilled cybersecurity roles worldwide by 2025 will likely intensify upskilling and reskilling efforts.

More related reading

Market Size

11.3 billion hours of learning were delivered on LinkedIn Learning in 2023, reflecting large-scale workforce learning consumption that employers commonly use for reskilling/upskilling pathways[13]
Verified
2$9.9 billion is the estimated 2024 global market size for learning management systems (which are commonly used to deliver upskilling/reskilling in enterprise and education)[14]
Verified
3US$10.5 billion is the estimated 2024 global market size for e-learning (a proxy for spend that increasingly funds workforce upskilling/reskilling programs)[15]
Single source
4US$1.5 billion is the estimated 2024 global market size for corporate learning management systems (LMS spend that supports enterprise reskilling/upskilling)[16]
Verified
5US$31.6 billion was spent globally on workforce development services in 2023 (covering training and reskilling spend across industries, including digital media and streaming)[17]
Verified
6US$8.4 billion was the estimated 2023 market size for talent management software (often bundled with training workflows for upskilling/reskilling)[18]
Verified

Market Size Interpretation

In the “Market Size” view of upskilling and reskilling in the streaming industry, spending and learning consumption are scaling quickly, with 1.3 billion hours delivered on LinkedIn Learning in 2023 and a combined software and services ecosystem estimated at $31.6 billion for workforce development services in 2023 plus $9.9 billion for learning management systems in 2024.

More related reading

Public Policy

1US$2.4 billion was allocated in 2023 for workforce training through U.S. Department of Labor competitive grants (supports training infrastructure that employers in digital media and streaming can tap)[21]
Single source
2US$1.1 billion in additional funding was awarded in 2023 for apprenticeships and registered apprenticeship programs (applies to early-career pipelines into technical streaming roles)[22]
Single source

Public Policy Interpretation

In 2023, public policy backed streaming industry upskilling and reskilling with $2.4 billion in U.S. Department of Labor competitive grants for training infrastructure and an additional $1.1 billion for apprenticeships, signaling a clear push to scale workforce readiness through employer-accessible programs and early-career technical pipelines.

Performance Metrics

158% of L&D leaders reported that they use analytics to measure the impact of learning programs on business outcomes (supports evaluation of reskilling effectiveness)[23]
Verified
2A 2021 peer-reviewed meta-analysis found that technology-based training improves job performance with a moderate effect size (Hedges’ g) versus no training (supporting the empirical basis for reskilling program design)[24]
Verified
3In a large-scale study of workplace training, employees who complete structured training programs showed a statistically significant increase in productivity compared with controls (quantified uplift reported in the study’s experimental results)[25]
Verified
4Employees using internal knowledge bases reported 35% faster resolution times for task-related questions in a measured organizational rollout (reduces time-to-productivity after reskilling)[26]
Directional

Performance Metrics Interpretation

For performance metrics in streaming reskilling, organizations are increasingly able to prove impact, with 58% of L&D leaders using analytics to track business outcomes and studies showing technology based training can produce a moderate improvement in job performance along with measurable productivity gains and 35% faster task resolution.

More related reading

Workforce Outcomes

14.6 million people were newly trained in U.S. workforce development programs funded through the Workforce Innovation and Opportunity Act (WIOA) in 2022 (reskilling capacity that can support digital and media occupations)[27]
Directional
28.9% of U.S. adults reported completing an industry-recognized credential in 2022 (credentialing is a common reskilling mechanism for technical roles)[28]
Verified
3The OECD reported that the share of adults participating in formal and non-formal learning in the previous 12 months averaged 26% across OECD countries in 2018 (indicating baseline adult learning behavior relevant to upskilling/reskilling)[29]
Verified
43.1% of the global workforce was reported as enrolled in education and training programs in 2020 (a global indicator that correlates with reskilling capacity)[30]
Single source
5The U.S. Bureau of Labor Statistics reported that employment in 'computer and mathematical occupations' was 5.4 million in 2022, a benchmark for technical labor categories that typically require continuous reskilling[31]
Verified

Workforce Outcomes Interpretation

Workforce outcomes in the streaming industry show meaningful momentum, with 4.6 million people newly trained through WIOA in 2022 and 8.9% of U.S. adults completing industry recognized credentials, supporting the pipeline needed to grow and sustain digital and media roles.

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

This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.

APA
Diana Reeves. (2026, February 13). Upskilling And Reskilling In The Streaming Industry Statistics. Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-streaming-industry-statistics
MLA
Diana Reeves. "Upskilling And Reskilling In The Streaming Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/upskilling-and-reskilling-in-the-streaming-industry-statistics.
Chicago
Diana Reeves. 2026. "Upskilling And Reskilling In The Streaming Industry Statistics." Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-streaming-industry-statistics.

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