Key Takeaways
- 10.6% of South Korea’s ICT sector employees were women in 2023, per KSIC ICT worker gender breakdown for Korea
- Women were 34.2% of ICT specialists in South Korea in 2022 (OECD ICT employment gender data)
- South Korea had 61.9% of ICT specialists aged 25–34 in 2022 (OECD ICT employment age distribution)
- 46.0% of ICT-related enterprises in South Korea reported using cloud services in 2023
- South Korea’s online shopping share of total retail reached 24.1% in 2023 (KOSIS/Statistics Korea online shopping share)
- South Korea’s e-wallet usage grew to 65.0 million users in 2023 (Korea fintech/financial services statistical release)
- South Korea’s mobile penetration was 134% in 2022 (ITU mobile cellular subscriptions per 100 inhabitants)
- South Korea ranked 14th in the World Digital Competitiveness Ranking 2023 (IMD World Digital Competitiveness ranking score)
- South Korea’s 5G population coverage reached 46.8% in 2022 (ITU 5G coverage indicator)
- 3.9% of South Korea’s GDP was spent on research and development (R&D) in 2022 (OECD Main Science and Technology Indicators: R&D expenditure as % of GDP)
- $173.0 billion in South Korea R&D expenditure in 2022 (OECD MSTI: GERD, current USD)
- South Korea spent 3.4% of GDP on ICT in 2022 (World Bank ICT expenditure indicator / ITU data)
- South Korea received 140.2 billion USD in venture capital in 2021 (PitchBook global VC by country figure for Korea)
- South Korea’s number of ICT startups reached 12,400 in 2023 (K-startup / NIPA ICT startup stats)
- South Korea’s total ICT services exports were $55.3 billion in 2022 (OECD ICT trade indicators)
South Korea is surging in tech with heavy R and D and cloud adoption, while tightening digital and cybersecurity capacity.
Related reading
Workforce Demographics
Workforce Demographics Interpretation
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User Adoption
User Adoption Interpretation
Industry Trends
Industry Trends Interpretation
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R&d Investment
R&d Investment Interpretation
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Funding & M&a
Funding & M&a Interpretation
Market Size
Market Size Interpretation
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Performance Metrics
Performance Metrics 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.
Julian Richter. (2026, February 13). South Korea Technology Industry Statistics. Gitnux. https://gitnux.org/south-korea-technology-industry-statistics
Julian Richter. "South Korea Technology Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/south-korea-technology-industry-statistics.
Julian Richter. 2026. "South Korea Technology Industry Statistics." Gitnux. https://gitnux.org/south-korea-technology-industry-statistics.
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