Global Sewing Machine Market Projected to Reach USD 6.983 Billion in 2026, AI Accelerates End-to-End Autonomous Manufacturing in the Industry

Sewing Machine Product Introduction

A sewing machine is a mechanical or computerized device used to join fabrics and other materials together with thread. It typically consists of a needle, thread spool, feed mechanism, and various control devices for adjusting stitch length, tension, and other settings. Sewing machines come in multiple types and configurations, including mechanical, electronic, and computerized models, each offering distinct functions and features. They are used for a wide range of sewing tasks, from basic garment construction and repairs to intricate embroidery, quilting, and decorative stitching. Sewing machines are essential tools for hobbyists, tailors, and industrial manufacturers, providing a fast, efficient, and precise method for producing garments, home décor, and other textile projects.

Development Status of China’s Apparel Industry

Production scale contracted slightly

In 2025, China’s apparel industry experienced a slight contraction in production scale, with industrial value-added continuing to record negative growth and the rate of decline gradually deepening. This is not only the result of a complex and volatile international environment and generally weak end-market demand, but is also closely related to the industry’s transformation and upgrading. The improvement of flexible manufacturing capabilities has accelerated the shift of apparel production models toward lean and efficient manufacturing. According to data from the National Bureau of Statistics, from January to December 2025, the industrial value-added of apparel enterprises above designated size decreased by 3.0% year-on-year, with the decline narrowing by 3.8 percentage points compared with the same period in 2024; apparel output of enterprises above designated size decreased by 3.44% year-on-year, with the growth rate declining by 7.66 percentage points compared with the same period in 2024.

From the perspective of major apparel categories, the decline in woven garments production was higher than that of knitted garments. From January to December, woven garment output decreased by 5.03% year-on-year, with the decline deepening by 3.04 percentage points compared with 2024. Among this category, down jackets, suits, and shirts decreased by 0.77%, 17.54%, and 8.93% year-on-year respectively; knitted garment output decreased by 2.71% year-on-year, with the growth rate declining by 10.09 percentage points compared with 2024.

Moderate Growth in the Domestic Market

In 2025, supported by the steady implementation of national consumption-boosting initiatives and the continued activation of new consumption models, residents’ demand for clothing consumption was steadily released, and the domestic apparel market maintained moderate growth. According to data from the National Bureau of Statistics, from January to December 2025, retail sales of apparel goods of enterprises above designated size in China reached 11,044.5 billion yuan, increasing by 2.8% year-on-year, with the growth rate accelerating by 2.7 percentage points compared with the same period in 2024; online retail sales of clothing products increased by 1.9% year-on-year, with the growth rate accelerating by 0.4 percentage points compared with 2024.

Increasing Downward Pressure on Exports

In 2025, affected by multiple complex factors such as weak recovery in international market demand, volatile U.S. tariff policies, and accelerating restructuring of the global apparel supply chain, pressure on China’s apparel exports became increasingly prominent, and export scale declined significantly. According to China Customs data, from January to December 2025, China’s total exports of apparel and clothing accessories reached 151.18 billion USD, down 5.0% year-on-year, with the growth rate declining by 5.3 percentage points compared with 2024. In terms of volume-price dynamics, apparel exports continued the trend of rising volume and falling prices, with export volume reaching 35.65 billion pieces, up 4.3% year-on-year, while the average export price was 3.5 USD/piece, down 8.6% year-on-year.

From the perspective of product categories, most sub-segments showed a pattern of rising volume and falling prices, with woven garment export prices experiencing a more pronounced decline. From January to December 2025, knitted garment exports amounted to 68.15 billion USD, down 4.3% year-on-year, with export volume increasing by 3.9% year-on-year and export unit price decreasing by 7.9% year-on-year; woven garment exports amounted to 56.78 billion USD, down 5.2% year-on-year, with export volume increasing by 5.0% year-on-year and export unit price decreasing by 9.7% year-on-year. Among subcategories, casual suits recorded a 13.1% year-on-year increase in export value, sweaters remained flat compared with 2024, while other major categories declined. Export value of coats, trousers, and T-shirts decreased by 7.3%, 0.5%, and 8.9% respectively; down jackets showed a decline in volume but an increase in price, with export volume decreasing by 22.2% year-on-year and export unit price increasing by 7.6% year-on-year.

From major export markets, due to U.S. tariff policies and re-export trade verification factors, China’s apparel exports to the United States declined significantly, while exports to ASEAN countries and Belt and Road partner countries experienced deeper declines. In contrast, exports to markets such as the European Union, Japan, and the United Kingdom remained stable, while exports to emerging markets such as Latin America and Africa maintained relatively rapid growth, indicating an increasingly diversified export market structure. According to China Customs data, from January to December 2025, exports to the United States amounted to 31.85 billion USD, down 12.0% year-on-year; exports to the European Union reached 28.59 billion USD, up 3.0% year-on-year; exports to Japan reached 11.72 billion USD, up 0.9% year-on-year; and exports to the United Kingdom reached 5.39 billion USD, up 3.4% year-on-year. In the same period, exports to ASEAN amounted to 12.32 billion USD, down 19.6% year-on-year; exports to Belt and Road countries and regions amounted to 40.14 billion USD, down 10.0% year-on-year. Meanwhile, apparel enterprises actively optimized market structures and built diversified market layouts, achieving counter-trend growth in exports to partners such as Latin America, Africa, and Russia. From January to December, exports to Latin America and Africa increased by 4.6% and 15.0% year-on-year respectively, while exports to Russia, Chile, and Canada increased by 4.1%, 15.9%, and 0.2% respectively.

From the perspective of export provinces, eastern China remains the main concentration area for apparel exports, with Zhejiang and Shandong maintaining growth. In central and western regions, export performance varied significantly: Chongqing and Heilongjiang showed strong growth, while Sichuan and Hunan recorded double-digit declines. According to China Customs data, from January to December 2025, apparel exports from eastern China reached 121.84 billion USD, down 4.0% year-on-year, accounting for 80.6% of total national apparel exports. Among the top five exporting provinces, Zhejiang and Shandong increased by 3.8% and 0.8% respectively, while Guangdong, Jiangsu, and Xinjiang decreased by 11.6%, 7.0%, and 8.7% respectively. Apparel exports from central and western China amounted to 29.34 billion USD, down 8.9% year-on-year. Among them, Chongqing and Heilongjiang increased by 10.6% and 80.8% respectively, while Sichuan and Hunan decreased by 44.7% and 35.7% respectively.

Global Sewing Machine Market Analysis

According to DIResearch’s in-depth investigation and research, the global sewing machine market is projected to reach USD 6.983 billion in 2026 and USD 8.461 billion by 2033, with a compound annual growth rate (CAGR) of 2.78% from 2026 to 2033. The global sewing machine industry exhibits diverse production and consumption patterns across different countries and regions. China is the largest sewing machine producer worldwide, accounting for approximately 50% of the global market, primarily meeting domestic apparel manufacturing demand while also serving as a key exporter.

Asian countries such as India, Vietnam, and Bangladesh, as major global garment production hubs, are experiencing growing demand for industrial sewing machines. Japan and Germany maintain leadership in the high-end industrial sewing machine segment, driving the market toward automation and intelligent solutions through technological innovation. The United States, while seeing a decline in market share, remains an important market for home sewing machines and high-end industrial models.

With the ongoing growth of the global apparel industry and technological advancements, the sewing machine market is expected to continue transitioning toward automated, intelligent, and eco-friendly equipment. By 2027, automated sewing machines are projected to account for over 30% of the global market.

Source: Secondary Sources, Expert Interviews and DIResearch, 2026

Sewing Machine Competitive Landscape Analysis

The global sewing machine market is characterized by a balance between technological innovation and cost-performance competition. Juki and Brother, as industry technology leaders, dominate the high-end market worldwide, particularly in developed regions such as Europe, the U.S., and Japan, with precise control, high-speed operation, and intelligent systems. Juki excels in industrial sewing machines, providing high-efficiency and high-precision equipment widely used in apparel manufacturing and large production lines. Brother leverages technological innovations in both home and industrial sewing machines, offering diverse product functionalities and earning global customer loyalty.

Brands such as Feiyue Group, ZOJE, and Jack Technology mainly compete on cost-effectiveness, targeting mid- and low-end markets. They hold strong positions in emerging markets across Asia, Southeast Asia, Africa, and Latin America. Feiyue Group is known for affordable home sewing machines, appealing to budget-conscious consumers. ZOJE and Jack Technology focus on high-performance industrial sewing machines with innovations in automation and intelligence, rapidly capturing market share among small and medium-sized garment manufacturers.

Brother

Headquarters: Japan

Brother is a Japan-based company engaged in the manufacturing and sales of office equipment, home sewing machines, and industrial machines. The company operates across six major segments. Its Printing & Solutions segment produces communication and printing devices such as printers and multifunction devices. The Home & Personal segment focuses on home sewing machines. The Machinery segment produces industrial sewing machines, garment printers, machine tools, reducers, and gears. The Network & Content segment develops and services commercial karaoke systems and content distribution. The Domino segment specializes in industrial printing equipment. Other segments include real estate operations. In 2025, Brother achieved total revenue of approximately USD 5.523 billion.

Feiyue Group

Headquarters: China

Founded in 1985, Feiyue Group specializes in mid- to low-end home and industrial sewing machines, offering cost-effective products that hold a strong presence in emerging markets such as China, India, and Africa. Despite limited public disclosure of revenue and profit data, Feiyue has established a solid global reputation for affordable pricing and stable product quality. The company employs around 2,000 staff and continues to expand its production capacity and market influence across China and other Asian markets.

Juki Corporation

Headquarters: Japan

Founded in 1938 and headquartered in Tokyo, Juki Corporation is a leading global manufacturer of sewing machines, particularly prominent in the industrial segment. Juki produces home, industrial, and commercial sewing machines, along with related accessories, serving industries such as apparel, automotive interiors, and leather goods. The company employs approximately 6,000 staff globally and maintains extensive R&D and production facilities, especially in China and Southeast Asia.

Jack Technology

Headquarters: China

Founded in 1995, Jack Technology is a leading manufacturer of industrial sewing machines, specializing in high-efficiency, automated, and intelligent equipment. In 2024, Jack Technology achieved annual revenue of approximately USD 892 million, with more than 2 million units shipped globally. The company employs around 3,500 staff and operates subsidiaries across multiple countries. Through innovations in automation, energy efficiency, and intelligent control, Jack has rapidly captured market share in China and Southeast Asia and maintains a significant position in the global apparel manufacturing industry.

ZOJE Sewing Technology

Headquarters: China

Founded in 1995, ZOJE Sewing Technology focuses on high-performance, intelligent industrial sewing machines for apparel manufacturing, home textiles, and automotive interiors. The company employs approximately 5,000 staff worldwide. Through continuous technological innovation in automation and intelligent systems, ZOJE has become a preferred supplier for many garment manufacturers, holding a strong market presence in China and Southeast Asia. In 2024, the ZOJE Sewing Technology total revenue amounted to 908 million RMB, with exports accounting for 48.47% and sewing machine production reaching 380,000 units.

AI Sewing Machine AI Technology Roadmap

AI sewing machine technology refers to a new generation of intelligent manufacturing systems that deeply integrate artificial intelligence (AI), machine vision, and automated control into traditional sewing equipment. Its core objective is to shift manufacturing from manual operation to intelligent decision-making and automated execution. In terms of material recognition and positioning, AI-powered sewing machines use vision systems (e.g., cameras combined with deep learning algorithms) to automatically detect fabric edges, textures, defects, and positional deviations, enabling precise alignment and optimized path planning. In terms of forming and processing, intelligent control systems dynamically adjust stitch length, thread tension, sewing speed, and trajectory in real time, enabling automated production of complex curves, irregular splicing, and multi-layer materials, significantly improving consistency and yield rates.

The AI sewing machine industry will undergo a five-stage transformation from 2026 to 2030, evolving from “connected equipment” to “autonomous manufacturing.” In 2026, the industry enters the Smart Connectivity Stage, where IoT modules become standard, MES/ERP systems are initially integrated, and basic data such as output, downtime, and energy consumption is collected. AI capabilities focus on predictive maintenance, fault warning, and cloud-based semi-automatic parameter recommendations, forming a model of “standalone smart machines + partially digitalized production lines.” In 2027, the industry moves into the Data-Driven Optimization Stage, with full production line data connectivity and structured machine data forming a process database. AI is applied to parameter recommendation, production line balancing, and early-stage visual quality inspection, shifting from experience-based tuning to AI-driven adjustment and from post-process inspection to in-process control. By 2028, AI capabilities advance to AI Craft Intelligence, enabled by multimodal AI (vision, tension, vibration) and edge computing embedded in devices. Machines gain local decision-making ability, allowing automatic fabric recognition and dynamic adjustment of key parameters, including thread tension, stitch length, and presser foot pressure, while enabling real-time deviation correction and defect mitigation suggestions—marking the stage where “machines begin to understand fabric.” In 2029, the industry enters the Flexible Smart Sewing Cell stage, where sewing machines are integrated with robotic arms, automated material handling, and coordinated multi-device control systems. AI enables automated scheduling, real-time production optimization, and closed-loop quality learning, forming unmanned sewing cells and supporting small-batch, fast-response (C2M) production. Human roles shift from operating machines to managing systems. Finally, in 2030, the industry reaches the Autonomous Manufacturing System stage, featuring full-factory digital twins, AI-driven autonomous production decisions, and end-to-end closed-loop manufacturing (design → production → inspection → optimization). At this stage, AI can automatically generate sewing process paths (pattern-to-production), optimize material utilization toward zero waste, and continuously self-learn within factory systems, ultimately enabling “lights-out” unmanned sewing factories.

2026: Smart Connectivity Stage

Technical Features

• IoT modules become standard (device connectivity)
• Initial integration of MES/ERP systems
• Basic data collection (output, downtime, energy consumption)

AI Capabilities

• Predictive maintenance
• Fault alerts (motor issues, thread breakage, skipped stitches)
• Cloud-based semi-automated parameter recommendations

Factory Model

• “Standalone intelligent machines + partially digitalized production lines”
• Key enterprise focus (e.g., JUKI / Brother / Jack)
• Equipment connectivity platforms
• Cloud-based device management systems
• Standardized industrial communication interfaces
•  

2027: Data-Driven Optimization Stage

Technical Features

• Full production line data integration
• Structured machine operation data
• Formation of a process database

AI Capabilities

• AI-based sewing parameter recommendation (fabric recognition + matching)
• Production line balancing optimization
• Early-stage visual defect detection

Factory Model

• “Digital Sewing Line”

Key Transformation

• From experience-based tuning → AI-driven tuning
• From post-process inspection → in-process control
•  

2028: AI Craft Intelligence

Technical Features

• Multimodal AI (vision + tension + vibration)
• Edge AI embedded in machines
• Local decision-making capability

AI Capabilities

• Automatic fabric identification (cotton / polyester / elastic materials)
• Dynamic adjustment of:
• Thread tension
• Stitch length
• Presser foot pressure
• Real-time path correction
• Defect repair recommendations

Industry Shift

• “Machines begin to understand fabric”
•  

2029: Flexible Smart Sewing Cell

Technical Features

• Integration of sewing machines and robotic arms
• Automated loading, positioning, and flipping
• Multi-machine coordination systems

AI Capabilities

• Automated production scheduling (order allocation)
• Real-time dynamic production optimization
• Closed-loop quality learning

Factory Model

• “Unmanned sewing cells”
• Small-batch, fast-response (C2M) production

Key Shift

• From operating machines → managing systems
•  

2030: Autonomous Manufacturing System

Technical Features

• Full-factory digital twin
• AI-driven autonomous production system
• End-to-end closed-loop manufacturing (design → production → inspection → optimization)

AI Capabilities

• Automatic generation of sewing process paths (AI pattern-to-production)
• Zero-waste material optimization (cutting + sewing coordination)
• Self-learning factory systems

Factory Model

• “Lights-out sewing factory”