Key Takeaways
- The UAE exported 0.3 million tonnes of steel (product weight) in 2022
- UAE steel exports increased to 1.0 million tonnes in 2021 from 0.6 million tonnes in 2019
- In 2022, steel import unit value in the UAE averaged about $900 per tonne for key flat products
- UAE steelmaking uses significant recycled content due to high scrap availability in the region
- UAE’s net scrap import dependence remained positive in 2022 with imports exceeding exports for HS 7204
- $2.0 billion in industrial investment was announced for steel-related capacity and downstream facilities in the UAE during 2021-2023 (aggregate announced value)
- UAE industrial electricity tariff ranges roughly $0.05-$0.10 per kWh depending on tariff category (illustrative), affecting EAF costs
- Natural gas availability in the UAE supports lower fuel costs for gas-based processes; UAE energy prices are regulated by the sector regulator
- ArcelorMittal and partners planned the UAE’s green steel H2-based ambitions with announced targets including up to 5 million tonnes of annual capacity for future phases
- The UAE’s updated NDC includes a target to reduce emissions by 31% by 2030 compared with the business-as-usual scenario (conditional)
- The UAE National Climate Change Plan aims to reduce GHG emissions by 15% by 2030 (relative to BAU) as part of mitigation actions
- UAE steel prices follow international flat steel benchmarks; MEPS/Argus indicate MENA HRC movements closely track global deltas in 2022-2024
- UAE GDP grew 3.5% in 2023 (year-on-year), supporting ongoing infrastructure and steel demand
- Construction contribution to GDP influences steel intensity; UAE investment in infrastructure programs increases rebar and long-steel demand
- UAE apparent steel use reached ~19.6 million tonnes in 2023.
In 2022, UAE steel exports and import values rose, while green steel investment and emission targets accelerated.
Import Export Balances
Import Export Balances Interpretation
Scrap & Feedstock
Scrap & Feedstock Interpretation
Investment & Costs
Investment & Costs Interpretation
Technology & Sustainability
Technology & Sustainability Interpretation
Market Dynamics
Market Dynamics Interpretation
Market Size
Market Size Interpretation
Cost & Energy
Cost & Energy Interpretation
Industry Performance
Industry Performance 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.
Marcus Engström. (2026, February 13). Uae Steel Industry Statistics. Gitnux. https://gitnux.org/uae-steel-industry-statistics
Marcus Engström. "Uae Steel Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/uae-steel-industry-statistics.
Marcus Engström. 2026. "Uae Steel Industry Statistics." Gitnux. https://gitnux.org/uae-steel-industry-statistics.
References
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- 17worldsteel.org/steel-topics/recycling.html
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- 15irena.org/-/media/Files/IRENA/Agency/Publication/2023/Oct/IRENA_UAE_Hydrogen_Study_2023.pdf
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- 28imf.org/external/datamapper/NGDP_RPCH@WEO/UAE
- 23mofaic.gov.ae/en/
- 26ember-climate.org/data/data-explorer/
- 27wto.org/english/res_e/statis_e/its_e.htm







