Key Takeaways
- Saudi auto industry employed 45,000 workers directly in 2023, up 20% from 2022
- Saudization rate in auto manufacturing reached 35% or 15,750 nationals in 2023
- Automotive vocational training programs graduated 5,200 Saudis in 2023
- Auto investments attracted $5.2 billion FDI in 2023
- Vision 2030 allocated SAR 10 billion to auto localization by 2023 end
- Lucid Motors invested $3.4 billion in KAEC EV plant by 2023
- Saudi Arabia's automotive production reached 45,000 units in 2023, marking a 25% increase from 2022 driven by new assembly plants like Isuzu and Toyota
- The Lucid Motors factory in Jeddah has an annual production capacity of 150,000 electric vehicles by 2026
- Humanology Corporation assembled 12,500 Toyota Land Cruisers in Q1 2024 at its Riyadh facility
- Saudi vehicle imports totaled $12.5 billion in 2023, down 5% from 2022
- Vehicle exports from Saudi reached $450 million in 2023, up 30% YoY
- Japan supplied 45% of Saudi vehicle imports worth $5.6 billion in 2023
- New car sales in Saudi Arabia totaled 827,272 units in 2023, up 13.4% from 2022
- Toyota sold 310,000 vehicles in Saudi market in 2023, holding 37% market share
- Hyundai registrations reached 120,445 units in 2023
Saudi’s auto sector grew in 2023 with 45,000 direct jobs, higher Saudization, and major localization gains.
Employment and Training
Employment and Training Interpretation
Investments and Incentives
Investments and Incentives Interpretation
Production and Capacity
Production and Capacity Interpretation
Trade (Imports/Exports)
Trade (Imports/Exports) Interpretation
Vehicle Sales and Registration
Vehicle Sales and Registration 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). Saudi Auto Industry Statistics. Gitnux. https://gitnux.org/saudi-auto-industry-statistics
Marcus Engström. "Saudi Auto Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/saudi-auto-industry-statistics.
Marcus Engström. 2026. "Saudi Auto Industry Statistics." Gitnux. https://gitnux.org/saudi-auto-industry-statistics.
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