Key Takeaways
- In 2023, Saudi Arabia's automotive production reached 452,000 vehicles, a 12.5% increase from 402,000 in 2022, driven by local assembly expansions
- The Kingdom produced 285,000 passenger cars in 2023, accounting for 63% of total automotive output, with Toyota leading at 45% share
- Commercial vehicle production in Saudi Arabia hit 167,000 units in 2023, up 18% YoY, primarily trucks from Isuzu and Hino plants
- Saudi Arabia's new car sales reached 827,000 units in 2023, up 13.4% from 729,000 in 2022, led by Toyota with 32% market share
- Toyota sold 265,000 vehicles in Saudi Arabia in 2023, capturing 32% of total sales volume
- Hyundai achieved 112,000 unit sales in 2023, securing 13.5% market share in passenger segment
- Import value of vehicles into Saudi Arabia was USD 12.5 billion in 2023, with Japan supplying 48%
- Vehicle imports totaled 712,000 units in 2023, down 2% from 726,000 in 2022 due to local production rise
- Top import source Japan: 342,000 CKD/SKD kits in 2023 valued at USD 4.8 billion
- FDI in automotive reached USD 2.8 billion in 2023, with PIF investing USD 1.2 billion in Lucid and Ceer
- Vision 2030 allocated SAR 15 billion for auto sector localization by 2023 end
- Private sector investments: USD 1.5 billion in 2023 for new assembly plants
- Projected market size to reach USD 25 billion by 2028, CAGR 8.2% from 2023 base of USD 16.5 billion
- EV market share forecast: 30% by 2030, with 450,000 annual sales projected
- Local production target: 1 million vehicles annually by 2030 under NTP 2030
Saudi Arabia's auto industry grew significantly in 2023 through increased production and sales.
Future Projections and Policies
Future Projections and Policies Interpretation
Import and Export Data
Import and Export Data Interpretation
Investment and Economic Impact
Investment and Economic Impact Interpretation
Production Statistics
Production Statistics 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.
Christopher Morgan. (2026, February 13). Saudi Arabia Automotive Industry Statistics. Gitnux. https://gitnux.org/saudi-arabia-automotive-industry-statistics
Christopher Morgan. "Saudi Arabia Automotive Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/saudi-arabia-automotive-industry-statistics.
Christopher Morgan. 2026. "Saudi Arabia Automotive Industry Statistics." Gitnux. https://gitnux.org/saudi-arabia-automotive-industry-statistics.
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