Industrial production in Malaysia grew by 6.3% yoy in September 2026, accelerating from a 5.0% gain in the previous month, surpassing market expectations of 5.8%. It was the strongest growth since June, mainly driven by higher production in the manufacturing sector, which rose to 9.4% from 7.4% in August. The manufacturing subsectors that contributed the most to the increase were electrical & electronics products (17.3% vs 17.0%), food, beverages and tobacco products (7.2% vs 1.5%), and non-metallic mineral products, basic metal & fabricated metal products (6.8% vs 5.7%). Electricity output growth also accelerated to 10.7% from 9% in the prior month. Conversely, mining activity (-9.4% vs -7.4%) declined further, weighed down by lower production of crude oil and condensate (-11.8% vs -12.2%) and natural gas (-7.9% vs -4.3%). On a seasonally adjusted monthly basis, industrial output rose by 1.2%, after a 0.5% growth in August, marking the fastest increase in five months. source: Department of Statistics, Malaysia
Industrial Production in Malaysia increased 6.30 percent in September of 2026 over the same month in the previous year. Industrial Production in Malaysia averaged 2.82 percent from 2007 until 2026, reaching an all time high of 49.60 percent in April of 2021 and a record low of -31.60 percent in April of 2020. This page provides - Malaysia Industrial Production - actual values, historical data, forecast, chart, statistics, economic calendar and news. Malaysia Industrial Production - data, historical chart, forecasts and calendar of releases - was last updated on November of 2026.
Industrial Production in Malaysia increased 6.30 percent in September of 2026 over the same month in the previous year. Industrial Production in Malaysia is expected to be 1.00 percent by the end of this quarter, according to Trading Economics global macro models and analysts expectations. In the long-term, the Malaysia Industrial Production is projected to trend around 1.00 percent in 2027 and 4.00 percent in 2028, according to our econometric models.