By 2026, the core trend in the brush manufacturing machinery industry will be a rapid evolution towards automation, flexibility, and digitalization. The demand for intelligent brush manufacturing lines that integrate machine vision and IoT data collection is on the rise.

The economic benefits of intelligent transformation are particularly prominent. According to statistics, raw materials and labor costs account for up to 40% of the total cost in traditional production, while after intelligent transformation, this can be reduced to 20%. Intelligent production lines can achieve a daily output of over 5,000 pieces, while the average daily output of small and medium-sized enterprises is less than 1,000 pieces, resulting in a significant efficiency gap. The average annual growth rate of labor costs over the past five years has reached 8%, forcing enterprises to accelerate equipment upgrades.

In terms of technical indicators, the hair planting accuracy of high-end equipment has reached ±0.05mm, and the maximum hair planting frequency exceeds 1,200 times per minute; the average trouble-free operating time (MTBF) of high-quality equipment is usually required to exceed 2,000 hours.