8 Fashion Technology Brands Leading Innovation in 2025
8 Fashion Technology Brands Leading Innovation in 2025
Oct 29, 2025
Technology is now at the center of how fashion is designed, developed, and delivered. From 3D modeling and digital sampling to AI styling, retail analytics, and e-commerce, fashion innovation shapes every stage of a collection’s journey.
Modern fashion technology brands are redefining how creativity meets efficiency. They give designers, product teams, and retailers the digital foundation to experiment freely while keeping production organized and sustainable. These platforms connect every step into one continuous, data-driven workflow.
Here are eight leading fashion technology brands shaping how the industry creates, sells, and experiences fashion in 2025.
What Are Fashion Technology Brands?
Fashion tech brands are companies that create digital systems to help fashion teams design, produce, and sell clothing with more accuracy and speed.
They combine data, automation, and design tools to simplify everything from concept development to retail delivery.
These platforms bring creative and technical teams together in one connected space. They manage materials, track production, and visualize garments in 3D, reducing waste, shortening timelines, and improving collaboration across global supply chains.
In shaping the future of fashion, these fashion tech companies make innovation practical. They turn creative ideas into scalable, repeatable processes that help brands stay agile in a digital-first industry.
Top Technology Brands to Know in the Fashion Industry
Many fashion brands are finding new ways to bring technology into their process. Each one uses fashion tech innovation differently, but the goal stays the same: to design smarter, reduce waste, and connect better with customers.
Here are some of the leading fashion tech brands shaping how fashion looks, operates, and evolves in 2025.
1. Onbrand
Onbrand stands at the front of fashion technology, helping product and retail teams design, develop, and deliver collections with clarity and speed. Built specifically for fashion companies, it bridges creativity and structure in one connected system.
More than a tool, Onbrand simplifies how teams work together so every detail stays accurate and accessible. Whether a brand focuses on luxury collections or fast-moving retail, Onbrand provides the control and visibility needed to stay efficient without losing creativity.
The platform includes two connected solutions: Onbrand PLM and Onbrand AI Design, which together help teams stay organized, reduce production costs, and improve collaboration across global teams.
Onbrand PLM
A modern product lifecycle management (PLM) is built for fashion teams that need structure without enterprise complexity. Onbrand PLM keeps every file, task, and approval organized in one space, allowing teams to stay aligned from first sketch to final shipment.
It strengthens vendor communication, supports sustainable materials tracking, and gives full visibility into timelines, assortments, and milestones. Each collection moves forward with accuracy and accountability, which reduces rework and delays.
Key Features
Live tech packs – Keep every product detail current and accessible in real time.
Vendor collaboration – Communicate directly with factories and avoid version mix-ups.
Project management – Plan, assign, and track progress within the same workspace.
Collection planning – Manage timelines, assortments, and key milestones with accuracy.
Dedicated libraries – Store fabrics, trims, colors, and artwork in one organized system.
Expert support – Receive fast setup, data migration, and hands-on onboarding.
Onbrand AI Design
Onbrand AI Design helps creative teams visualize new concepts faster. It transforms written ideas into photorealistic designs, supports accurate fit previews, and connects seamlessly to PLM for full workflow continuity.
The tool accelerates early design decisions and helps brands minimize waste through digital sampling and virtual garments instead of multiple prototypes. Designers gain creative freedom while maintaining quality and consistency across collections in the virtual world.
Key Features
Generative image creation – Turn garment descriptions into photorealistic design options.
Automated color palettes – Create colorways inspired by your references or mood boards.
3D garment simulation – View designs on different body types with realistic fabric behavior.
Automated spec sheets – Convert concepts into detailed technical information in seconds.
Mood board tools – Collect and organize visual references inside one creative workspace.
PLM integration – Move finished concepts directly into Onbrand PLM for development.
Onbrand combines creativity, precision, and collaboration in a single ecosystem. It supports modern brands that want to move faster, stay organized, and deliver high-quality products with confidence.
2. CLO Virtual Fashion
CLO Virtual Fashion gives designers tools to create real garments in real time. Its 3D simulation system shows fabric, fit, and silhouette with high accuracy, allowing teams to see their ideas before producing a single sample.
Source: clo3d.com
The interface feels simple and familiar, helping designers adjust patterns quickly without long delays or technical roadblocks. Teams can experiment freely, review details on virtual models, and move ideas forward with fewer physical samples.
Fashion companies using CLO often report shorter development cycles and lower costs. The use of digital garments helps reduce textile waste and supports sustainable fashion practices across production.
The main challenge lies in its complexity. Smaller teams or new users may find the software demanding when first using it.
Key Features
Real-time 3D garment creation – Displays fit, shape, and motion with precision.
Fabric and material simulation – Recreates the texture and drape of textiles accurately.
Virtual sampling – Reduces sample production and shortens lead times.
Remote collaboration – Connects teams in shared virtual environments.
Sustainable design – Helps minimize waste through digital development workflows.
3. Browzwear
Browzwear gives fashion brands and manufacturers tools to create garments that fit first time right. Its digital product development platform helps teams work faster, cut costs, and make data-backed decisions.
The system connects design, production, and merchandising in one workspace to keep teams aligned from concept to approval.
Source: browzwear.com
With AI-driven fit validation and automation, Browzwear supports precise garment creation while improving supply chain transparency.
Brands using the platform have reported up to a 95% first-time-right rate and major reductions in sampling costs. Its “virtual twin” models help replace physical samples, improving accuracy while supporting sustainable practices and reducing waste.
Still, the software can feel technical for new designers. Some teams need extra time to adapt to 3D workflows and integrations.
Key Features
Advanced 2D and 3D design tools – Create and refine digital fashion items with detailed accuracy.
AI-driven fit validation – Predicts garment fit and performance before production.
Virtual twin simulation – Builds life-like digital prototypes to replace physical fashion samples.
Collaboration platform – Lets designers and vendors work in real time to approve collections.
Open integrations – Connects with PLM, merchandising, and rendering systems for full scalability.
4. Stitch Fix
Stitch Fix combines artificial intelligence with human expertise to personalize shopping. Each customer begins with a style quiz that gathers details on fit, budget, and style preferences.
Based on that data, the platform matches users with professional stylists who curate clothing selections tailored to individual needs.
Source: stitchfix.com
The service helps customers save time and avoid endless scrolling. Every order includes curated pieces sent directly to their door with free shipping and returns, giving users the chance to try before they buy.
Its newest tool, Stitch Fix Vision, introduces AI-powered visuals that allow users to see themselves in new looks digitally, blurring the line between physical fashion and the digital realm.
For many, it turns online shopping into a guided, convenient experience. However, results can vary since algorithms rely on customer feedback to improve accuracy over time. Some shoppers may need several “Fixes” before the recommendations feel completely right.
Key Features
AI-powered styling – Matches customers with curated looks based on personal data.
Human stylist collaboration – Each order includes selections refined by real stylists.
Style quiz and profile system – Collects customer insights to guide future recommendations.
Try-before-you-buy option – Encourages discovery without upfront commitment.
Vision technology – Uses augmented visuals to preview outfits and encourage customer engagement.
5. EDITED
EDITED provides an AI-powered retail intelligence platform that helps fashion retailers and fashion companies make data-driven decisions. It combines real-time market insights, pricing data, and customer behavior analytics to give brands a full picture of their performance.
The platform tracks competitors, analyzes assortment trends, and identifies profitable opportunities with remarkable precision.
Source: edited.com
Its “Triple Lens Clarity” model answers three key questions: what’s working in the market, what’s working for your business, and what customers actually want.
With this structure, teams gain clear visibility into demand patterns, sustainability credentials, and pricing shifts across the online world. These insights support better demand forecasting and more balanced assortment planning.
EDITED also helps retailers avoid overproduction by improving accuracy in inventory planning. It reduces markdown losses and aligns sustainable fashion goals with real-time data.
While the platform delivers strong analytics, smaller brands may find the setup and cost demanding compared to lighter alternatives.
Key Features
Real-time fashion retail analytics – Tracks pricing, inventory, and competitor activity across markets.
Triple Lens Clarity – Aligns market, profit, and customer insights in one dashboard.
AI-driven product matching – Detects trends and compares performance across categories.
Demand forecasting tools – Help retailers manage stock and minimize waste.
Data for sustainable growth – Supports eco-friendly materials and responsible production strategies.
6. Intelistyle
Intelistyle delivers AI-powered styling and personalization tools for fashion retailers and luxury brands that want to create tailored shopping experiences.
It uses artificial intelligence to recommend full outfits instead of single products, showing customers how items work together based on style preferences, body type, and color.
Source: intelistyle.com
Its virtual try-on feature allows shoppers to see how garments appear on real or digital models, helping brands bridge the gap between traditional fashion and the digital space.
This capability improves confidence in online purchases while increasing conversion rates and average order value. Intelistyle also supports virtual product photography, removing the need for costly studio shoots by generating model images digitally.
Some smaller retailers may find the full feature suite more advanced than they need, but Intelistyle’s adaptive integration makes it accessible to both emerging and established names in fashion.
Key Features
AI outfit recommendations – Suggests complete looks based on context, body type, and trend data.
Virtual try-on experiences – Use augmented reality to preview outfits on digital or real models.
Automated product tagging – Saves time by categorizing items with detailed attributes.
Visual search and personalization – Gives customers the ability to upload images and explore visually similar styles.
Omnichannel integration – Works across apps, email, and web to create consistent shopping experiences.
7. Farfetch
Farfetch operates as a luxury fashion marketplace that connects designers, boutiques, and customers in one virtual space. It merges innovation with craftsmanship, offering a seamless shopping experience through advanced search tools and personalized recommendations.
Source: farfetch.com
The platform invests in new technologies like virtual reality shopping and blockchain technology for product traceability. These features help luxury brands verify authenticity, improve transparency, and build stronger trust with digital-first shoppers.
Farfetch also promotes sustainability by supporting recycled materials, resale programs, and practices that reduce material waste. Its mix of heritage and innovation shows how fashion can evolve without losing creativity or quality.
Key Features
Global luxury marketplace – Connects designers, boutiques, and consumers across regions.
Virtual shopping experiences – Integrates VR experiences and interactive browsing for digital-first customers.
Blockchain-powered traceability – Tracks item authenticity and origin through secure digital records.
Sustainability initiatives – Promotes resale, recycling, and the use of recycled materials.
Data-driven personalization – Offers personalized recommendations based on browsing and buying patterns.
8. The Fabricant
The Fabricant develops digital tools that let designers create, edit, and visualize garments entirely online. The platform helps brands produce realistic visuals in minutes through AI-driven design and digital twins that replicate real-world clothing.
Its goal is to speed up workflows and cut costs while allowing creativity to thrive.
Source: thefabricant.com
The company’s tools cover every step from sketching to virtual wear. Designers can generate photorealistic images, upscale details for print, or produce short videos for campaigns.
The system supports sustainable materials by reducing the need for physical samples and shipping, making it an environmentally friendly option for both startups and established labels.
While some teams still prefer tactile production, The Fabricant proves that virtual creation can support both fast fashion timelines and high-end innovation. Its brand’s commitment to digital design keeps pace with Gen Z consumers who expect creative freedom in an online-first world.
Key Features
AI image generation – Creates realistic sketches and product visuals from text prompts.
Digital twins – Produce accurate virtual garments that mirror real fabrics and fits.
Photo Studio and video tools – Generates on-model imagery and campaign-ready clips.
Upscaling engine – Increases resolution for detailed marketing visuals.
Sustainable focus – Reduces waste and supports environmentally friendly design.
Work Like the Leading Fashion Technology Brands With Onbrand
Fashion moves forward through creativity, connection, and innovation. The leading fashion tech brands prove that technology can strengthen design, improve production speed, and build stronger trust between teams and customers.
Every idea, material, and fit becomes easier to manage when supported by the right systems. That’s where Onbrand makes a difference.
With Onbrand PLM, your team can manage every product detail, approval, and supplier conversation in one connected space. Onbrand AI Design helps turn ideas into visual concepts faster, explore creative directions, and move smoothly into development.
Together, these tools give fashion teams the same clarity and confidence as industry leaders, without the weight of complex systems.
See how Onbrand connects your collections, communication, and creativity in one place. Book a demo to discover how your team can design, develop, and deliver smarter.
FAQs About Fashion Technology Brands
What are the top 10 fashion brands?
The top 10 fashion brands include names like Nike, Gucci, Louis Vuitton, Adidas, Zara, Hermès, Dior, Chanel, H&M, and Uniqlo. These brands lead in design, innovation, and global influence across the fashion industry.
What is fashion technology?
Fashion technology refers to the use of digital tools, data systems, and new materials to design, produce, and sell clothing more efficiently. It includes innovations like 3D design, AI-driven insights, and virtual experiences that connect brands and customers in new ways.
What are the big four fashion brands?
The “Big 4” fashion brands usually refer to luxury houses such as Louis Vuitton, Chanel, Gucci, and Hermès, known for their craftsmanship, influence, and consistent innovation.
What technology is used in fashion?
Common advanced technologies in fashion include 3D design software, product lifecycle management (PLM) systems, smart fabrics, AR try-ons, and digital sampling tools that help brands improve creativity and efficiency across production.
Technology is now at the center of how fashion is designed, developed, and delivered. From 3D modeling and digital sampling to AI styling, retail analytics, and e-commerce, fashion innovation shapes every stage of a collection’s journey.
Modern fashion technology brands are redefining how creativity meets efficiency. They give designers, product teams, and retailers the digital foundation to experiment freely while keeping production organized and sustainable. These platforms connect every step into one continuous, data-driven workflow.
Here are eight leading fashion technology brands shaping how the industry creates, sells, and experiences fashion in 2025.
What Are Fashion Technology Brands?
Fashion tech brands are companies that create digital systems to help fashion teams design, produce, and sell clothing with more accuracy and speed.
They combine data, automation, and design tools to simplify everything from concept development to retail delivery.
These platforms bring creative and technical teams together in one connected space. They manage materials, track production, and visualize garments in 3D, reducing waste, shortening timelines, and improving collaboration across global supply chains.
In shaping the future of fashion, these fashion tech companies make innovation practical. They turn creative ideas into scalable, repeatable processes that help brands stay agile in a digital-first industry.
Top Technology Brands to Know in the Fashion Industry
Many fashion brands are finding new ways to bring technology into their process. Each one uses fashion tech innovation differently, but the goal stays the same: to design smarter, reduce waste, and connect better with customers.
Here are some of the leading fashion tech brands shaping how fashion looks, operates, and evolves in 2025.
1. Onbrand
Onbrand stands at the front of fashion technology, helping product and retail teams design, develop, and deliver collections with clarity and speed. Built specifically for fashion companies, it bridges creativity and structure in one connected system.
More than a tool, Onbrand simplifies how teams work together so every detail stays accurate and accessible. Whether a brand focuses on luxury collections or fast-moving retail, Onbrand provides the control and visibility needed to stay efficient without losing creativity.
The platform includes two connected solutions: Onbrand PLM and Onbrand AI Design, which together help teams stay organized, reduce production costs, and improve collaboration across global teams.
Onbrand PLM
A modern product lifecycle management (PLM) is built for fashion teams that need structure without enterprise complexity. Onbrand PLM keeps every file, task, and approval organized in one space, allowing teams to stay aligned from first sketch to final shipment.
It strengthens vendor communication, supports sustainable materials tracking, and gives full visibility into timelines, assortments, and milestones. Each collection moves forward with accuracy and accountability, which reduces rework and delays.
Key Features
Live tech packs – Keep every product detail current and accessible in real time.
Vendor collaboration – Communicate directly with factories and avoid version mix-ups.
Project management – Plan, assign, and track progress within the same workspace.
Collection planning – Manage timelines, assortments, and key milestones with accuracy.
Dedicated libraries – Store fabrics, trims, colors, and artwork in one organized system.
Expert support – Receive fast setup, data migration, and hands-on onboarding.
Onbrand AI Design
Onbrand AI Design helps creative teams visualize new concepts faster. It transforms written ideas into photorealistic designs, supports accurate fit previews, and connects seamlessly to PLM for full workflow continuity.
The tool accelerates early design decisions and helps brands minimize waste through digital sampling and virtual garments instead of multiple prototypes. Designers gain creative freedom while maintaining quality and consistency across collections in the virtual world.
Key Features
Generative image creation – Turn garment descriptions into photorealistic design options.
Automated color palettes – Create colorways inspired by your references or mood boards.
3D garment simulation – View designs on different body types with realistic fabric behavior.
Automated spec sheets – Convert concepts into detailed technical information in seconds.
Mood board tools – Collect and organize visual references inside one creative workspace.
PLM integration – Move finished concepts directly into Onbrand PLM for development.
Onbrand combines creativity, precision, and collaboration in a single ecosystem. It supports modern brands that want to move faster, stay organized, and deliver high-quality products with confidence.
2. CLO Virtual Fashion
CLO Virtual Fashion gives designers tools to create real garments in real time. Its 3D simulation system shows fabric, fit, and silhouette with high accuracy, allowing teams to see their ideas before producing a single sample.
Source: clo3d.com
The interface feels simple and familiar, helping designers adjust patterns quickly without long delays or technical roadblocks. Teams can experiment freely, review details on virtual models, and move ideas forward with fewer physical samples.
Fashion companies using CLO often report shorter development cycles and lower costs. The use of digital garments helps reduce textile waste and supports sustainable fashion practices across production.
The main challenge lies in its complexity. Smaller teams or new users may find the software demanding when first using it.
Key Features
Real-time 3D garment creation – Displays fit, shape, and motion with precision.
Fabric and material simulation – Recreates the texture and drape of textiles accurately.
Virtual sampling – Reduces sample production and shortens lead times.
Remote collaboration – Connects teams in shared virtual environments.
Sustainable design – Helps minimize waste through digital development workflows.
3. Browzwear
Browzwear gives fashion brands and manufacturers tools to create garments that fit first time right. Its digital product development platform helps teams work faster, cut costs, and make data-backed decisions.
The system connects design, production, and merchandising in one workspace to keep teams aligned from concept to approval.
Source: browzwear.com
With AI-driven fit validation and automation, Browzwear supports precise garment creation while improving supply chain transparency.
Brands using the platform have reported up to a 95% first-time-right rate and major reductions in sampling costs. Its “virtual twin” models help replace physical samples, improving accuracy while supporting sustainable practices and reducing waste.
Still, the software can feel technical for new designers. Some teams need extra time to adapt to 3D workflows and integrations.
Key Features
Advanced 2D and 3D design tools – Create and refine digital fashion items with detailed accuracy.
AI-driven fit validation – Predicts garment fit and performance before production.
Virtual twin simulation – Builds life-like digital prototypes to replace physical fashion samples.
Collaboration platform – Lets designers and vendors work in real time to approve collections.
Open integrations – Connects with PLM, merchandising, and rendering systems for full scalability.
4. Stitch Fix
Stitch Fix combines artificial intelligence with human expertise to personalize shopping. Each customer begins with a style quiz that gathers details on fit, budget, and style preferences.
Based on that data, the platform matches users with professional stylists who curate clothing selections tailored to individual needs.
Source: stitchfix.com
The service helps customers save time and avoid endless scrolling. Every order includes curated pieces sent directly to their door with free shipping and returns, giving users the chance to try before they buy.
Its newest tool, Stitch Fix Vision, introduces AI-powered visuals that allow users to see themselves in new looks digitally, blurring the line between physical fashion and the digital realm.
For many, it turns online shopping into a guided, convenient experience. However, results can vary since algorithms rely on customer feedback to improve accuracy over time. Some shoppers may need several “Fixes” before the recommendations feel completely right.
Key Features
AI-powered styling – Matches customers with curated looks based on personal data.
Human stylist collaboration – Each order includes selections refined by real stylists.
Style quiz and profile system – Collects customer insights to guide future recommendations.
Try-before-you-buy option – Encourages discovery without upfront commitment.
Vision technology – Uses augmented visuals to preview outfits and encourage customer engagement.
5. EDITED
EDITED provides an AI-powered retail intelligence platform that helps fashion retailers and fashion companies make data-driven decisions. It combines real-time market insights, pricing data, and customer behavior analytics to give brands a full picture of their performance.
The platform tracks competitors, analyzes assortment trends, and identifies profitable opportunities with remarkable precision.
Source: edited.com
Its “Triple Lens Clarity” model answers three key questions: what’s working in the market, what’s working for your business, and what customers actually want.
With this structure, teams gain clear visibility into demand patterns, sustainability credentials, and pricing shifts across the online world. These insights support better demand forecasting and more balanced assortment planning.
EDITED also helps retailers avoid overproduction by improving accuracy in inventory planning. It reduces markdown losses and aligns sustainable fashion goals with real-time data.
While the platform delivers strong analytics, smaller brands may find the setup and cost demanding compared to lighter alternatives.
Key Features
Real-time fashion retail analytics – Tracks pricing, inventory, and competitor activity across markets.
Triple Lens Clarity – Aligns market, profit, and customer insights in one dashboard.
AI-driven product matching – Detects trends and compares performance across categories.
Demand forecasting tools – Help retailers manage stock and minimize waste.
Data for sustainable growth – Supports eco-friendly materials and responsible production strategies.
6. Intelistyle
Intelistyle delivers AI-powered styling and personalization tools for fashion retailers and luxury brands that want to create tailored shopping experiences.
It uses artificial intelligence to recommend full outfits instead of single products, showing customers how items work together based on style preferences, body type, and color.
Source: intelistyle.com
Its virtual try-on feature allows shoppers to see how garments appear on real or digital models, helping brands bridge the gap between traditional fashion and the digital space.
This capability improves confidence in online purchases while increasing conversion rates and average order value. Intelistyle also supports virtual product photography, removing the need for costly studio shoots by generating model images digitally.
Some smaller retailers may find the full feature suite more advanced than they need, but Intelistyle’s adaptive integration makes it accessible to both emerging and established names in fashion.
Key Features
AI outfit recommendations – Suggests complete looks based on context, body type, and trend data.
Virtual try-on experiences – Use augmented reality to preview outfits on digital or real models.
Automated product tagging – Saves time by categorizing items with detailed attributes.
Visual search and personalization – Gives customers the ability to upload images and explore visually similar styles.
Omnichannel integration – Works across apps, email, and web to create consistent shopping experiences.
7. Farfetch
Farfetch operates as a luxury fashion marketplace that connects designers, boutiques, and customers in one virtual space. It merges innovation with craftsmanship, offering a seamless shopping experience through advanced search tools and personalized recommendations.
Source: farfetch.com
The platform invests in new technologies like virtual reality shopping and blockchain technology for product traceability. These features help luxury brands verify authenticity, improve transparency, and build stronger trust with digital-first shoppers.
Farfetch also promotes sustainability by supporting recycled materials, resale programs, and practices that reduce material waste. Its mix of heritage and innovation shows how fashion can evolve without losing creativity or quality.
Key Features
Global luxury marketplace – Connects designers, boutiques, and consumers across regions.
Virtual shopping experiences – Integrates VR experiences and interactive browsing for digital-first customers.
Blockchain-powered traceability – Tracks item authenticity and origin through secure digital records.
Sustainability initiatives – Promotes resale, recycling, and the use of recycled materials.
Data-driven personalization – Offers personalized recommendations based on browsing and buying patterns.
8. The Fabricant
The Fabricant develops digital tools that let designers create, edit, and visualize garments entirely online. The platform helps brands produce realistic visuals in minutes through AI-driven design and digital twins that replicate real-world clothing.
Its goal is to speed up workflows and cut costs while allowing creativity to thrive.
Source: thefabricant.com
The company’s tools cover every step from sketching to virtual wear. Designers can generate photorealistic images, upscale details for print, or produce short videos for campaigns.
The system supports sustainable materials by reducing the need for physical samples and shipping, making it an environmentally friendly option for both startups and established labels.
While some teams still prefer tactile production, The Fabricant proves that virtual creation can support both fast fashion timelines and high-end innovation. Its brand’s commitment to digital design keeps pace with Gen Z consumers who expect creative freedom in an online-first world.
Key Features
AI image generation – Creates realistic sketches and product visuals from text prompts.
Digital twins – Produce accurate virtual garments that mirror real fabrics and fits.
Photo Studio and video tools – Generates on-model imagery and campaign-ready clips.
Upscaling engine – Increases resolution for detailed marketing visuals.
Sustainable focus – Reduces waste and supports environmentally friendly design.
Work Like the Leading Fashion Technology Brands With Onbrand
Fashion moves forward through creativity, connection, and innovation. The leading fashion tech brands prove that technology can strengthen design, improve production speed, and build stronger trust between teams and customers.
Every idea, material, and fit becomes easier to manage when supported by the right systems. That’s where Onbrand makes a difference.
With Onbrand PLM, your team can manage every product detail, approval, and supplier conversation in one connected space. Onbrand AI Design helps turn ideas into visual concepts faster, explore creative directions, and move smoothly into development.
Together, these tools give fashion teams the same clarity and confidence as industry leaders, without the weight of complex systems.
See how Onbrand connects your collections, communication, and creativity in one place. Book a demo to discover how your team can design, develop, and deliver smarter.
FAQs About Fashion Technology Brands
What are the top 10 fashion brands?
The top 10 fashion brands include names like Nike, Gucci, Louis Vuitton, Adidas, Zara, Hermès, Dior, Chanel, H&M, and Uniqlo. These brands lead in design, innovation, and global influence across the fashion industry.
What is fashion technology?
Fashion technology refers to the use of digital tools, data systems, and new materials to design, produce, and sell clothing more efficiently. It includes innovations like 3D design, AI-driven insights, and virtual experiences that connect brands and customers in new ways.
What are the big four fashion brands?
The “Big 4” fashion brands usually refer to luxury houses such as Louis Vuitton, Chanel, Gucci, and Hermès, known for their craftsmanship, influence, and consistent innovation.
What technology is used in fashion?
Common advanced technologies in fashion include 3D design software, product lifecycle management (PLM) systems, smart fabrics, AR try-ons, and digital sampling tools that help brands improve creativity and efficiency across production.
Discover how Onbrand PLM can streamline your product development!
Discover how Onbrand PLM can streamline your product development!
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© 2024 Onbrand. All rights reserved.
