Upskilling And Reskilling In The Ict Industry Statistics

GITNUXREPORT 2026

Upskilling And Reskilling In The Ict Industry Statistics

With 65% of workers expected to need new skills because of automation and 50% of companies already planning higher training investment, the stakes are rising fast. Yet skills gaps still hold organizations back, so you will see how learning platforms, project based training, and even gen AI adoption are changing the path from hiring to real competence.

23 statistics23 sources5 sections5 min readUpdated 21 days ago

Key Statistics

Statistic 1

54% of workers report that their job requires learning new skills

Statistic 2

27% of adults in the EU have low digital skills (below the basic level, DigComp)

Statistic 3

45% of organizations say they have skills gaps that prevent them from meeting their business goals

Statistic 4

50% of companies say they are planning to increase investments in training and upskilling within the next 12 months

Statistic 5

63% of employees say they would like to learn new skills at work

Statistic 6

Europe has 19.1 million ICT specialists employed in 2022

Statistic 7

65% of workers will need new skills due to automation according to the World Economic Forum

Statistic 8

77% of organizations plan to use generative AI in at least one business function in 2024, increasing demand for AI upskilling

Statistic 9

39% of IT organizations report they are already using AI-enabled tools for software development

Statistic 10

The global cloud skills gap is forecast to reach 4.4 million unfilled roles by 2025 (IDC forecast)

Statistic 11

The demand for data analysts is projected to grow by 28% from 2022 to 2032 in the US

Statistic 12

The US demand for information security analysts is projected to grow by 35% from 2022 to 2032

Statistic 13

The US demand for software developers is projected to grow by 25% from 2022 to 2032

Statistic 14

In 2023, 72% of CIOs reported that skills are a top priority for delivering transformation (Gartner CIO survey)

Statistic 15

50% of learning and development leaders cite budget constraints as a key challenge in scaling reskilling programs

Statistic 16

60% of companies say they are investing in learning platforms (LMS) to reskill and upskill employees

Statistic 17

Companies that implement structured upskilling programs are 2.4x more likely to report faster time-to-competency for new digital roles

Statistic 18

Learners who use hands-on project-based learning are 2x more likely to demonstrate applied competence than those using lecture-only formats (meta-analysis figure)

Statistic 19

In the EU, 67% of adults who received training in the last year report positive employment outcomes (self-reported)

Statistic 20

In OECD countries, 47% of adults who received training in the last 12 months report higher job quality

Statistic 21

The cost of cybercrime in 2023 was estimated at $8 trillion globally (McAfee/CSIS estimate)

Statistic 22

Between 2019 and 2023, the cost of data breaches averaged $4.45 million globally (IBM Security annual report figure for 2023)

Statistic 23

1 unfilled tech vacancy can cost a company $30,000–$50,000 in lost revenue, according to industry workforce estimates

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With 65% of workers expected to need new skills because of automation, ICT teams are facing a shift that looks less like optional professional growth and more like survival. At the same time, 45% of organizations report skills gaps that block their business goals, even as 50% of companies plan to boost training investment in the next 12 months. Let’s unpack how upskilling and reskilling are shaping outcomes across digital roles, platforms, and emerging AI demands.

Key Takeaways

  • 54% of workers report that their job requires learning new skills
  • 27% of adults in the EU have low digital skills (below the basic level, DigComp)
  • 45% of organizations say they have skills gaps that prevent them from meeting their business goals
  • Europe has 19.1 million ICT specialists employed in 2022
  • 65% of workers will need new skills due to automation according to the World Economic Forum
  • 77% of organizations plan to use generative AI in at least one business function in 2024, increasing demand for AI upskilling
  • 50% of learning and development leaders cite budget constraints as a key challenge in scaling reskilling programs
  • 60% of companies say they are investing in learning platforms (LMS) to reskill and upskill employees
  • Companies that implement structured upskilling programs are 2.4x more likely to report faster time-to-competency for new digital roles
  • Learners who use hands-on project-based learning are 2x more likely to demonstrate applied competence than those using lecture-only formats (meta-analysis figure)
  • In the EU, 67% of adults who received training in the last year report positive employment outcomes (self-reported)
  • The cost of cybercrime in 2023 was estimated at $8 trillion globally (McAfee/CSIS estimate)
  • Between 2019 and 2023, the cost of data breaches averaged $4.45 million globally (IBM Security annual report figure for 2023)
  • 1 unfilled tech vacancy can cost a company $30,000–$50,000 in lost revenue, according to industry workforce estimates

With growing skill gaps, companies are boosting training investments to meet rising digital and AI talent demand.

Workforce Needs

154% of workers report that their job requires learning new skills[1]
Verified
227% of adults in the EU have low digital skills (below the basic level, DigComp)[2]
Verified
345% of organizations say they have skills gaps that prevent them from meeting their business goals[3]
Verified
450% of companies say they are planning to increase investments in training and upskilling within the next 12 months[4]
Single source
563% of employees say they would like to learn new skills at work[5]
Single source

Workforce Needs Interpretation

Workforce needs are clearly intensifying, with 54% of workers already saying their jobs require learning new skills and 63% of employees wanting to learn at work, while 45% of organizations report skills gaps that block their business goals.

Training Investments

150% of learning and development leaders cite budget constraints as a key challenge in scaling reskilling programs[15]
Verified
260% of companies say they are investing in learning platforms (LMS) to reskill and upskill employees[16]
Single source

Training Investments Interpretation

Training investments are increasingly going digital, with 60% of companies investing in learning platforms, but scaling reskilling programs is still constrained by budget issues for 50% of learning and development leaders.

Training Effectiveness

1Companies that implement structured upskilling programs are 2.4x more likely to report faster time-to-competency for new digital roles[17]
Verified
2Learners who use hands-on project-based learning are 2x more likely to demonstrate applied competence than those using lecture-only formats (meta-analysis figure)[18]
Verified
3In the EU, 67% of adults who received training in the last year report positive employment outcomes (self-reported)[19]
Verified
4In OECD countries, 47% of adults who received training in the last 12 months report higher job quality[20]
Verified

Training Effectiveness Interpretation

Training proves especially effective when it is well designed, since structured upskilling makes teams 2.4x more likely to reach faster time-to-competency and hands-on project learning boosts applied competence 2x compared with lecture-only approaches.

Cost Analysis

1The cost of cybercrime in 2023 was estimated at $8 trillion globally (McAfee/CSIS estimate)[21]
Verified
2Between 2019 and 2023, the cost of data breaches averaged $4.45 million globally (IBM Security annual report figure for 2023)[22]
Verified
31 unfilled tech vacancy can cost a company $30,000–$50,000 in lost revenue, according to industry workforce estimates[23]
Verified

Cost Analysis Interpretation

From a Cost Analysis perspective, the combined burden of $8 trillion in global cybercrime and $4.45 million average data breach costs makes upskilling and reskilling in ICT a financially urgent move, especially when even one unfilled tech role can cost $30,000 to $50,000 in lost revenue.

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
Gabrielle Fontaine. (2026, February 13). Upskilling And Reskilling In The Ict Industry Statistics. Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-ict-industry-statistics
MLA
Gabrielle Fontaine. "Upskilling And Reskilling In The Ict Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/upskilling-and-reskilling-in-the-ict-industry-statistics.
Chicago
Gabrielle Fontaine. 2026. "Upskilling And Reskilling In The Ict Industry Statistics." Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-ict-industry-statistics.

References

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ibm.comibm.com
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linkedin.comlinkedin.com
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microsoft.commicrosoft.com
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ec.europa.euec.europa.eu
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idc.comidc.com
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bls.govbls.gov
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  • 13bls.gov/ooh/computer-and-information-technology/software-developers.htm
worldbank.orgworldbank.org
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nap.edunap.edu
  • 18nap.edu/read/13231/chapter/1
mcafee.commcafee.com
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hudson.comhudson.com
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