There are several popular industrial embroidery machine brands in the US that are widely used in commercial settings. These brands are known for their high-quality, durable machines that are designed for heavy-duty use and large-scale production. Here are some of the top industrial embroidery machine brands in the US:
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Tajima: Tajima is a leading Japanese brand that offers high-end industrial embroidery machines known for their precision, speed, and versatility. They have a wide range of models that cater to different types of embroidery work, including flatbed, tubular, and bridge machines.
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Barudan: Barudan is another Japanese brand that has a strong presence in the US market. They offer a variety of industrial embroidery machines that are known for their durability, speed, and ease of use. Barudan machines are designed to handle high-volume production and are popular in the garment and textile industry.
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Melco: Melco is an American brand that has been in the embroidery business for over 40 years. They offer a range of industrial embroidery machines that are popular among small and medium-sized businesses. Their machines are known for their reliability, speed, and advanced features such as laser alignment and automatic thread tension.
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SWF: SWF is a Korean brand that has been in the embroidery industry since 1974. They offer a range of industrial embroidery machines that cater to different types of embroidery work, including caps, jackets, and other garments. SWF machines are known for their high-speed stitching, ease of use, and precision.
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Happy: Happy is a Japanese brand that offers a range of industrial embroidery machines that are popular among small and medium-sized businesses. Their machines are known for their speed, reliability, and advanced features such as automatic thread trimming and tension adjustment.
These are just a few of the top industrial embroidery machine brands in the US. Each brand has its own unique features, strengths, and weaknesses, so it's important to do your own research and compare different models before making a purchase.