Key Takeaways
- South Korea’s AI hardware market size is projected to reach $18.2 billion by 2027 (IDC forecast)
- South Korea AI software spending is projected to reach $22.3 billion in 2027 (IDC forecast)
- South Korea accounted for 8.7% of global AI investment in 2023 (OECD AI investment ranking using 2020–2023 data)
- South Korea was the 6th-ranked country globally for AI patent applications in 2022 in the OECD AI patent dashboard
- In 2023, South Korea had 8,017 AI-related companies registered in corporate datasets used in the K-Startup/AI ecosystem reports (KOSME ecosystem stats)
- In South Korea, 91% of individuals use the internet (2023 ITU measure; “Individuals using the Internet (%)”)
- South Korea’s generative AI market is forecast to reach $10.1 billion in 2027 (IDC 2024 forecast)
- South Korea accounted for 10.5% of East Asia’s AI server deployments in 2023 (Omdia deployment split, 2024)
- South Korea’s AI compute grant program awarded 1.9 million GPU-hour equivalents in 2023 (NIA compute support program results)
- $1.2 billion venture capital was invested into South Korean AI/ML startups in 2022 (PitchBook Korea AI VC dataset summary)
- South Korea’s public R&D expenditure on AI was KRW 1.2 trillion in 2023 (MSIT / NRF AI R&D budget summary)
- South Korea’s electricity price for industrial consumers was 0.142 USD/kWh in 2023 (World Bank data, “Electricity prices for industry”)
- South Korea’s renewable electricity share was 6.7% in 2023 (IEA renewable electricity share indicator via IEA data portal)
- South Korea’s average labor productivity (real output per worker) grew by 0.8% in 2023 (OECD Productivity data, 2024 update)
- South Korea’s ICT investment as a share of GDP was 7.1% in 2022 (OECD ICT investment dataset)
South Korea is rapidly scaling AI, with major 2027 market growth, strong investment, and expanding compute, talent, and infrastructure.
Related reading
01 · Category
Market Size5 stats
Market Size Interpretation
02 · Category
Innovation Outputs2 stats
Innovation Outputs Interpretation
03 · Category
Industry Trends4 stats
Industry Trends Interpretation
04 · Category
Policy & Funding3 stats
Policy & Funding Interpretation
05 · Category
Cost Analysis2 stats
Cost Analysis Interpretation
More related reading
06 · Category
Performance Metrics3 stats
Performance Metrics Interpretation
07 · Category
Adoption & Usage2 stats
Adoption & Usage Interpretation
08 · Category
Market & Revenue3 stats
Market & Revenue Interpretation
09 · Category
R&d & Research2 stats
R&d & Research Interpretation
10 · Category
Performance & Scale1 stats
Performance & Scale Interpretation
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.
Catherine Wu. (2026, February 13). Korea AI Industry Statistics. Gitnux. https://gitnux.org/korea-ai-industry-statistics
Catherine Wu. "Korea AI Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/korea-ai-industry-statistics.
Catherine Wu. 2026. "Korea AI Industry Statistics." Gitnux. https://gitnux.org/korea-ai-industry-statistics.
Sources & references
27 datasets cited across this report · attribution is report-level
+11 additional datasets cited (not shown individually)

