Thailand’s Business Sentiment Index fell to 42.5 in May 2026 from 43.5 in the previous month. This marked the lowest level since August 2021, weighed down by the prolonged Middle East conflict. Sentiment continued to deteriorate for production (44 vs 48.2 in April), performance (43.7 vs 47), overall order books (43.6 vs 44.2), and export conditions (45 vs 46.4). By sector, manufacturing sentiment softened across several industries, led by the automotive sector, where production and performance sub-indices fell sharply amid intensifying competition in vehicle sales. The food and beverage industry also faced mounting pressures, as packaging costs remained 30% to 50% higher than pre-conflict levels and elevated freight rates continued to delay orders from Middle Eastern markets. Meanwhile, sentiment in the non-manufacturing sector remained broadly unchanged from the previous month. The three-month expected Business Sentiment Index rose to 46.9 in May from 40.9 in April. source: Bank of Thailand
Business Confidence in Thailand decreased to 42.50 points in May from 43.50 points in April of 2026. Business Confidence in Thailand averaged 47.97 points from 1999 until 2026, reaching an all time high of 55.70 points in March of 2010 and a record low of 32.60 points in April of 2020. This page provides the latest reported value for - Thailand Business Confidence - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news. Thailand Business Confidence - data, historical chart, forecasts and calendar of releases - was last updated on June of 2026.
Business Confidence in Thailand decreased to 42.50 points in May from 43.50 points in April of 2026. Business Confidence in Thailand is expected to be 49.00 points by the end of this quarter, according to Trading Economics global macro models and analysts expectations. In the long-term, the Thailand Business Confidence is projected to trend around 56.00 points in 2027 and 52.00 points in 2028, according to our econometric models.