Industrial production in Malaysia increased by 4.7% year-on-year in July 2026, easing from a 6.5% rise in the previous month and below market forecasts of 5.4%. It was the softest increase in industrial production since March, due mainly to softer rises in manufacturing (6.4% vs 7.3%), driven by lower production of transport equipment and other manufactures (4.5% vs 9.4%), petroleum, chemical, rubber & plastic (1.7% vs 2.6%), and electrical and electronics products (13.3% vs 13.6%). Meanwhile, electricity output also eased to 5.0% from 6.7%. Additionally, mining fell (-3.2% vs 3.1%), as crude oil and condensate output declined at a faster pace (-13.1% vs -3.3%), while gas production eased sharply (3.6% vs 7.4%). For the first seven months of the year, industrial production grew 5.7% yoy, driven by manufacturing (6.5%), electricity (6.1%), and mining (2.0%). On a seasonally adjusted monthly basis, industrial output edged down 0.1% in July, following a 0.5% fall in the preceding period. source: Department of Statistics, Malaysia
Industrial Production in Malaysia increased 4.70 percent in July of 2026 over the same month in the previous year. Industrial Production in Malaysia averaged 2.79 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 September of 2026.
Industrial Production in Malaysia increased 4.70 percent in July of 2026 over the same month in the previous year. Industrial Production in Malaysia is expected to be 2.80 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.