Key Takeaways
- In 2022, Thailand's total automobile production reached 1,843,799 units, including 1,265,456 pickup trucks and 578,343 passenger cars, positioning it as the 11th largest auto producer globally
- Toyota Motor Thailand produced 786,000 vehicles in 2022, accounting for 42.7% of national output, with the Hilux pickup leading at 240,000 units
- Honda Automobile Thailand manufactured 220,000 units in 2022, primarily the City sedan and CR-V SUV, up 12% from 2021 due to expanded capacity at Ayutthaya plant
- Domestic sales of automobiles in Thailand reached 845,000 units in 2022, down 20% from 2021 due to economic slowdown
- Pickup trucks held 45% market share in 2022 with 380,000 units sold domestically, led by Toyota Hilux at 150,000
- Passenger cars sold 420,000 units in 2022, with Toyota Corolla Cross topping at 80,000 units
- In 2022, Thailand exported 1,186,475 vehicles, valued at USD 20.5 billion, 2nd largest exporter after Japan
- Pickup exports dominated with 950,000 units in 2022, 80% of total, to Australia and US
- Toyota exported 450,000 vehicles from Thailand in 2022, mainly Hilux to 120 countries
- Thailand's auto industry employed 450,000 direct workers in 2022 across 1,200 factories
- Auto parts sector provided 350,000 jobs in 2022, 78% Thai nationals
- Assembly plants employed 100,000 skilled workers in 2022, average wage THB 25,000/month
- Auto industry FDI inflows reached USD 2.5 billion in 2022, led by Chinese EV makers
- BOI-promoted auto projects: 150 with THB 500 billion investment by 2022
- Great Wall Motor invested USD 1 billion in Rayong EV plant in 2022, capacity 80,000/year
Thailand's auto industry is a major global manufacturer and exporter dominated by pickup trucks.
Employment and Workforce
Employment and Workforce Interpretation
Exports and Imports
Exports and Imports Interpretation
Investments and Economic Impact
Investments and Economic Impact Interpretation
Production Statistics
Production Statistics Interpretation
Sales and Domestic Market
Sales and Domestic Market 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.
Felix Zimmermann. (2026, February 13). Thailand Auto Industry Statistics. Gitnux. https://gitnux.org/thailand-auto-industry-statistics
Felix Zimmermann. "Thailand Auto Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/thailand-auto-industry-statistics.
Felix Zimmermann. 2026. "Thailand Auto Industry Statistics." Gitnux. https://gitnux.org/thailand-auto-industry-statistics.
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