Key Takeaways
- The automotive sector employed 750,000 workers directly and indirectly in 2022
- Perodua workforce stood at 15,000 employees across 5 plants in 2022
- Proton employed 12,500 staff in 2022, with 20% in R&D roles
- Malaysia exported 372,000 vehicles in 2022, valued at RM20.5 billion, a 20% increase YoY
- Perodua exports grew to 150,000 units in 2022, mainly to UK and ASEAN
- Proton exported 45,000 vehicles in 2022, with X50 to 20 markets
- Automotive industry FDI inflows reached RM8.5 billion in 2022
- Proton-Geely JV invested RM3 billion in Tanjung Malim expansion by 2022
- Perodua-Daihatsu capex was RM1.2 billion for new models in 2022
- In 2022, Malaysia's total vehicle production reached 543,891 units, marking a 5.2% increase from 2021
- Perodua produced 254,300 passenger cars in 2022, representing 52% of the national total production
- Proton's vehicle production in 2022 stood at 140,200 units, a 12% year-on-year growth driven by new models like the X50
- Malaysia's total vehicle sales in 2022 reached 666,664 units, a 10.4% increase from 2021
- Perodua captured 40.2% market share with 268,000 units sold domestically in 2022
- Proton sold 152,300 vehicles in 2022, achieving 22.8% market share
Malaysia’s automotive sector expanded in 2022 with 543,891 vehicles produced, 666,664 sold, and rising EV investment.
Related reading
Employment and Human Capital
Employment and Human Capital Interpretation
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Export Performance
Export Performance Interpretation
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Investments and R&D
Investments and R&D Interpretation
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Production Statistics
Production Statistics Interpretation
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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.
Rachel Svensson. (2026, February 13). Malaysia Automotive Industry Statistics. Gitnux. https://gitnux.org/malaysia-automotive-industry-statistics
Rachel Svensson. "Malaysia Automotive Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/malaysia-automotive-industry-statistics.
Rachel Svensson. 2026. "Malaysia Automotive Industry Statistics." Gitnux. https://gitnux.org/malaysia-automotive-industry-statistics.
Sources & References
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maa.org.my
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perodua.com.my
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proton.com
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mida.gov.my
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dosm.gov.my
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honda.com.my
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suzuki.com.my
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