Gitnux/Report 2026

AI Fashion Industry Statistics

AI is reshaping fashion with measurable speed, from how quickly models are prototyped to how production decisions get optimized. See the 2025 and 2026 metrics that expose a surprising gap between what brands claim and what the data actually reflects.
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November 10, 2026Updated
AI Fashion Industry Statistics
Marcus AfolabiWritten by Marcus Afolabi·Edited by Olivia Thornton·Fact-checked by Sarah Mitchell
Published ·Updated
How this report is researched
01Editorial Scope

Gitnux editors write the brief first: the topic, the inclusion rules, and the frame for what belongs.

02Source Research

Agents search the published record and log every extracted figure back to the passage it came from.

Read our full methodology →

Search agents attach provenance to every extracted figure.

Next review: within 39 days

01 Industry overview

The ai fashion industry at a glance

The global AI-in-fashion market was valued at $1.81 billion in 2025 and is projected to reach $40.81 billion by 2034, reflecting rapid adoption in design, discovery, personalization and retail operations.

$1.81B[67]
AI fashion market, 2025
41.39%[67]
Forecast CAGR, 2026–2034
37.86%[68]
North America share, 2025
74%[7]
Fashion executives using AI, 2026
Market size
The global AI-in-fashion market was valued at $1.81 billion in 2025, according to Fortune Business Insights. Other market estimates vary substantially, including $2.77 billion from Straits Research, reflecting differences in market definitions and coverage.[67][69]
Forecast & CAGR
Fortune Business Insights forecasts the market to grow from $2.56 billion in 2026 to $40.81 billion in 2034, at a 41.39% CAGR. Straits Research projects a higher 2034 value of $55.17 billion and a 39.43% CAGR for 2026–2034.[67][69]
Market share & regions
North America accounted for 37.86% of global AI-in-fashion spending in 2025, followed by Europe at 27.65% and Asia-Pacific at 25.72%. Asia-Pacific is forecast to be the fastest-growing major region, with one estimate placing its 2026–2032 CAGR at 42.05%.[68][70]
Segmentation
Market reports commonly segment AI in fashion by component, deployment, application, product category and end user. Applications include recommendation engines, product search, demand forecasting, supply-chain management, creative design, trend forecasting, customer relationship management, virtual assistants and virtual try-on; product categories include apparel, accessories, footwear, beauty, jewelry and watches.[69][67]
Trends, drivers & challenges
Fashion executives are prioritizing AI for demand forecasting, inventory optimization and cost control: 75% identified those areas as priorities in McKinsey’s 2025 survey, while 50% identified AI-driven product discovery as a key use case. Reported barriers include high implementation costs, fragmented legacy systems, limited in-house expertise, and uncertainty over governance and ethics.[1]
Consumer behavior & competition
In the United States, 53% of consumers who used generative AI for search in the second quarter of 2025 also used it to help them shop. Shopping-related generative-AI searches increased 4,700% between July 2024 and July 2025, increasing competitive pressure around AI-assisted discovery, recommendations and product comparison.[1]
M&A
Reliance Retail acquired Bengaluru-based Furrl’s AI Styling Engine and commerce app in 2026; the platform had more than 50,000 products across over 200 brands. Financial terms were not disclosed, and the transaction is intended to strengthen AI-driven fashion discovery and personalization.[14]
Regulation
The European Union’s Ecodesign for Sustainable Products Regulation identifies textile apparel as a priority product group for ecodesign requirements and Digital Product Passports. The European Commission’s working plan anticipates adoption of the textile-apparel delegated act in the fourth quarter of 2027, creating future data and traceability requirements for firms placing covered products on the EU market.[71]
Latest news
In 2026, Reliance Retail confirmed its acquisition of Furrl’s AI-powered fashion discovery technology, including a styling engine that generated personalized outfit recommendations. The deal illustrates the shift from AI experimentation toward retailer-owned discovery and personalization capabilities.[14]

02 Ranking

Top 10 Companies in the Ai Fashion Industry

The leading companies in the ai fashion industry, ranked on market impact, performance, momentum, innovation and brand popularity.

Updated November 10, 2026 · Next review December 10, 2026

Verdict

Botika and Stylitics are tied at the top of Gitnux's 2026 ai fashion ranking with an Overall score of 9.5 each.

Ranked by Overall score · How we score ↓

Editor's top 3 picks

Where to start, by need.

  1. #1 Overall · Leader in on-model media generation

    Botika

    Ranked #1 · 9.5 · On-model media generation

    Why we picked it: It focuses on generative imagery outputs that convert existing product photos into on-model media.

    See in ranking ↓Visit botika.com ↗

  2. Leader in retail AI outfitting

    Stylitics

    US

    Ranked #2 · 9.5 · Retail AI outfitting

    Why we picked it: It supports retail merchandising with outfitting and imagery generation plus personalization workflows.

    See in ranking ↓Visit stylitics.com ↗

  3. Leader in fit intelligence

    True Fit

    US

    Ranked #3 · 9.1 · Fit intelligence

    Why we picked it: It uses purchase and return history to inform apparel and footwear fit intelligence.

    See in ranking ↓Visit truefit.com ↗

Pick 1 is the #1 company overall. Picks 2 and 3 are the highest-ranked companies in the top 5 that add a new segment.

Full ranking

Sort by
Top 10 companies in the ai fashion industry, 2026 – Gitnux ranking
#CompanyOverall ↓Company snapshot
1

Botika

On-model media generation

9.5
2

Stylitics

Retail AI outfitting · US

9.5
3

True Fit

Fit intelligence · US

9.1
4

DRESSX

Generative try-on · US

9.0
5

Heuritech

Fashion trend forecasting · FR

8.9
6

Veesual

Generative AI virtual try-on for fashion · FR

8.9
7

Syte

Visual AI discovery for apparel ecommerce · IL

8.7
8

Raspberry AI

Generative AI for fashion design and production · US

8.7
9

The Fabricant

AI fashion design and digital garment workflow · NL

8.1
10

Mad Street Den

AI retail and fashion commerce platform · US

8.0

How we score

  • Impact (30%): scale and weight in the market (revenue, market share, employees, market position).
  • Performance (20%): recent revenue growth and operating margin; an analyst assessment where a company does not publish them.
  • Momentum (20%): growth trajectory and future potential.
  • Innovation (15%): R&D intensity and how technologically advanced the company is.

Popularity (brand search demand, 15%) counts toward Overall but is not published as a column. Overall leaves out what is not known.

Scale Scores are shown on a 7–10 scale with one decimal; bars start at 7.0.

Cadence Recalculated when new figures are published; next review December 10, 2026.

Independence. Rankings are editorially independent. Scores, ranks, picks and the verdict follow the method above; no company can pay to change them.

Cite this ranking

APA

Marcus Afolabi. (2026, February 13). Top 10 companies in the ai fashion industry. In AI Fashion Industry Statistics. Gitnux. https://gitnux.org/ai-fashion-industry-statistics/#top-companies

04 Statistics

Technology & Innovation

Technology & Innovation highlights implementation gaps alongside infrastructure adoption, with 90% of initiatives failing to scale beyond pilots and 50% of machine-learning deployment time reduced in one premium case.

AI in the ai fashion industry

  • 75% of fashion executives were prioritizing AI for demand forecasting, inventory optimization and cost control in 2025.[1]
  • 28% of fashion executives reported using generative AI for design and product development in 2023.[1]
  • 62% of global fashion executives said their companies were already using generative AI in 2023.[1]
  • 26% of fashion executives reported using generative AI for marketing visual content in 2023.[1]
  • 45% of fashion executives identified AI-driven marketing as a major value driver in 2025.[1]
  • 25% of fashion executives reported using generative AI for digital shopping and customer experience in 2023.[1]

Automation in the ai fashion industry

  • 37% of fashion executives said they used generative AI experimentally rather than systematically in 2023.[1]
  • 4% of fashion executives said generative AI was regularly embedded in their workflows in 2023.[1]
  • 18% of fashion executives said their companies had never used generative AI in 2023.[1]
  • 21% of fashion executives said they used generative AI occasionally on a case-by-case basis in 2023.[1]
  • 28–38% of current activities performed by consumer-goods and retail workers in Europe and the United States could be impacted by technology by 2030, including fashion-related work.[1]
  • 47% of US consumer-goods and retail employees expected more than 30% of their work to change because of generative AI in 2026.[1]

Digital Transformation in the fashion and textiles sector (sector benchmark)

  • 26% of textile-ecosystem companies in the EU reported having a concrete digital-transformation strategy in 2024.[2]
  • 4.8% of textile-ecosystem SMEs in the EU had adopted digital-twin technology in 2023.[2]
  • 65% of textile companies in the 2023 sample had a website, according to analysis of company websites in the EU textile ecosystem.[2]
  • 38.3% of textile-ecosystem SMEs in the EU used online platforms in 2023.[2]

Technology Adoption in the fashion and textiles sector (sector benchmark)

  • 40% of North American fashion and apparel manufacturers used electronic data interchange in 2023.[3]
  • 58% of North American fashion and apparel manufacturers used supply-chain-management software in 2023.[3]
  • 44% of North American fashion and apparel manufacturers used warehouse-management systems in 2023.[3]
  • 54% of North American fashion and apparel manufacturers used product-lifecycle-management software in 2023.[3]
  • 68% of North American fashion and apparel manufacturers used an online payment platform in 2023.[3]
  • 58% of North American fashion and apparel manufacturers used enterprise resource planning software in 2023.[3]

Cloud Computing in the fashion and textiles sector (sector benchmark)

  • 19% of apparel organizations with revenue of $100 million or more had already moved to cloud ERP in 2025.[3]
  • 33% of textile-ecosystem companies in the EU used cloud technology in 2024.[2]
  • 48% of apparel organizations with revenue of $100 million or more were in the process of moving to cloud ERP in 2025.[3]
  • 32.3% of textile-ecosystem SMEs in the EU had adopted cloud technologies in 2023.[4]
  • 39% of apparel organizations with revenue below $100 million were in the process of moving to cloud ERP in 2025.[3]
  • 16% of apparel organizations with revenue below $100 million had already moved to cloud ERP in 2025.[3]

Big Data in the fashion and textiles sector (sector benchmark)

  • 52% of surveyed Indian companies said they were likely or very likely to adopt Big Data analytics within five years in 2023; the report identifies textile companies among respondents.[5]
  • 12% of textile-ecosystem companies in the EU used big-data technology in 2024.[2]

05 Statistics

Data & Analytics

Data & Analytics focuses on scaling data readiness and measurable impact, including fit prediction returns reduction of 10% to 30% and AI initiatives where only 1% reached maturity in 2026.

Business intelligence in the ai fashion industry

  • 92% of fashion organisations planned to increase generative-AI investment in 2026.[6]
  • 1% of fashion organisations reported that their AI deployment had reached maturity in 2026.[6]
  • 35% of fashion executives reported using generative AI for online customer service, image creation, copywriting or product discovery in 2026.[1]
  • 90% of fashion AI initiatives reportedly failed to scale beyond the pilot stage.[7]
  • 31% of implementation budgets were spent on data preparation by top-performing fashion AI adopters, according to Kōbō Labs.[7]
  • 21% of enterprises fully met the data-readiness criteria identified in Kōbō Labs’ fashion AI research.[7]

Data analytics in the ai fashion industry

  • 10% to 30% returns reduction was estimated from fit prediction in fashion e-commerce.[1]
  • 2 times higher conversion in selected categories was estimated from augmented-reality product trials.[1]
  • 1% to 3% revenue growth was estimated from using customer data to launch next-generation fashion brands.[1]
  • 1% to 3% revenue growth was estimated from assortment optimisation using one-to-one forecasting by model, size and colour.[1]
  • 10% margin expansion was reported as achievable by fashion companies using data to optimise prices.[1]
  • 20% revenue growth was reported as achievable through personalised interactions across multiple fashion retail channels.[1]

Data Quality in the fashion and textiles sector (sector benchmark)

  • 44% of fashion and apparel businesses verified their current traceability data in 2025, based on a survey of more than 450 industry professionals globally.[8]
  • 51% of garment-level textile firms could report process input and output volumes at batch level in 2025 across the surveyed Global South markets.[9]
  • 77% of raw-material-level textile firms could report process input and output volumes at batch level in 2025 across the surveyed Global South markets.[9]
  • 46% of fashion and apparel businesses had visibility into Tier 4 raw-material suppliers in 2025, according to a global industry survey.[8]
  • 75% of fabric-level textile firms could report process input and output volumes at batch level in 2025 across the surveyed Global South markets.[9]
  • 79% of yarn-level textile firms could report process input and output volumes at batch level in 2025 across the surveyed Global South markets.[9]

Data Governance in the fashion and textiles sector (sector benchmark)

  • 38% of surveyed textile firms in the Global South used recognized industry standards for data sharing in 2025, while 44% used none and 18% were unsure.[9]
  • 30% of textile firms using recognized data-sharing standards reported using ISO/IEC 27001 in 2025, making it the most commonly cited standard.[9]
  • 45% of textile firms not affected by the EU Ecodesign for Sustainable Products Regulation reported using industry data-sharing standards in 2025.[9]
  • 83% of surveyed textile firms in the Global South actively shared product-related data with suppliers in 2025, while 17% had not adopted this practice.[9]
  • 52% of textile firms affected by the EU Ecodesign for Sustainable Products Regulation reported using industry data-sharing standards in 2025.[9]
  • 32% of raw-material suppliers in the surveyed textile supply chains used recognized data-sharing standards in 2025, compared with 55% that used none.[9]

KPIs in the ai fashion industry

  • 4% of fashion executives said generative AI was embedded regularly in their workflows in 2023.[1]
  • 21% of fashion executives said generative AI was used occasionally on a case-by-case basis in 2023.[1]
  • 62% of global fashion executives reported that their companies were already using generative AI in 2023.[1]

06 Statistics

Strategy & Growth

Strategy & Growth centers on quantified value from operational use cases, including a reported 30% profit increase from optimized inventory in an AI-fashion case cited in 2026.

Growth in the ai fashion industry

  • 30% was the reported increase in profits from optimized inventory for an AI-fashion case study cited in 2026.[6]
  • 36%–40% was the estimated annual growth rate of the global AI-in-fashion market in Kōbō Labs’ 2026 research.[7]
  • $24 million was the Series A raised by fashion-design AI company Raspberry AI in January 2025.[6]
  • $7.5 million was raised by virtual try-on company Veesual in a seed round announced in 2024.[10]
  • 70 fashion-company customers were reported for Raspberry AI in 2025, including Under Armour, Gruppo Teddy and MCM.[6]
  • $2.9 billion was the estimated global AI-in-fashion market size in 2025, according to Kōbō Labs.[7]

Differentiation in the ai fashion industry

  • 18 weeks was the reported maximum reduction in fashion-item production timelines from Walmart’s AI Trend-to-Product tool in 2025.[11]
  • 30 top-tier luxury brands had been served by Wannaby before its acquisition by Perfect Corp. in 2024.[12]
  • 25% was the reported reduction in waste and overstock from an AI-fashion inventory-optimization case study cited in 2026.[6]
  • 24% was the reported increase in incremental revenue from Tommy Hilfiger’s AI-powered predictive-analytics shopping initiative.[13]
  • Millions of PUMA consumers worldwide were targeted by the company’s expanded Google Cloud generative-AI partnership announced in 2024.[14]
  • 51% was the reported increase in conversion rate from Tommy Hilfiger’s AI-powered predictive-analytics shopping initiative.[13]

Mergers and acquisitions in the ai fashion industry

  • 30 top-tier luxury brands had been served by Wannaby before Perfect Corp. acquired the company in 2024.[12]
  • 100% of Lalaland.ai was acquired by Browzwear in 2025, according to the acquisition announcement.[15]

Strategic partnerships in the ai fashion industry

  • 25 markets were reached by Zalando’s AI-powered fashion-assistant deployment in 2024, according to Strategy&.[16]
  • 2 collaborations had taken place between N4XT Experiences and Bigthinx by February 2024, involving generative AI and virtual fashion experiences.[17]
  • $7.5 million was raised by Veesual alongside its announcement of a partnership with EILEEN FISHER in 2024.[10]
  • 30 top-tier luxury brands were served by Wannaby before its strategic acquisition by Perfect Corp. in 2024.[12]
  • 900 million weekly users were attributed to ChatGPT in L’Oréal’s 2026 announcement of its OpenAI collaboration.[18]
  • More than 400 CFDA members were included in the organization’s 2024 partnership with AI platform Raive.[19]

07 Statistics

People & Workforce

People & Workforce shows high workforce change expectations, including 47% of US consumer-goods and retail employees expecting more than 30% of work to change because of generative AI in 2026.

Hiring in the ai fashion industry

  • 87% of US fashion companies surveyed expected to increase hiring between 2026 and 2031.[20]
  • 53% of fashion workers surveyed viewed increasing AI use in the fashion industry positively or very positively in 2026.[21]
  • Data scientists were among the three job roles expected to be in highest demand in the US fashion industry between 2026 and 2031.[20]

Employee retention in the ai fashion industry

  • 44% of US frontline retail workers surveyed in 2023 said they were considering leaving their jobs within three to six months, a population relevant to fashion retail.[1]
  • 60% of fashion professionals surveyed in 2026 said they were at least somewhat happy with their current positions.[22]

Remote Work in the fashion and textiles sector (sector benchmark)

  • Across U.S. manufacturers, 95% of employees with work flexibility use it, according to a 2024 member survey covering operations and production roles.[23]
  • In 2024, 15% of non-factory-floor employees at surveyed global manufacturers worked fully remotely, compared with 8% of factory-floor employees.[24]
  • In a global survey of more than 1,000 fashion professionals, 65% identified flexible working policies as the most important employer benefit.[21]
  • Among non-manager manufacturing employees able to work remotely, 67% can work from home two days per week, according to a 2024 member survey.[23]

Hybrid Work in the fashion and textiles sector (sector benchmark)

  • In 2025, 23% of surveyed manufacturers were actively updating hybrid policies to add more structure around required office days.[23]
  • Among fashion and beauty professionals globally, 52% preferred a hybrid schedule with two or three days in the office.[21]
  • Across surveyed manufacturers in 2025, 79% operated a hybrid model for non-production employees, while 17% were fully back in the office.[23]
  • Among global manufacturers in 2024, 42% of non-factory-floor employees worked in hybrid arrangements, compared with 10% of factory-floor employees.[24]

Upskilling in the ai fashion industry

  • 47% of US consumer-goods and retail employees said training was the most important factor for generative-AI adoption in 2026.[1]
  • Nearly half of US consumer-goods and retail employees said they received only moderate support or less for generative-AI adoption in 2026.[1]

Employee Engagement in the fashion and textiles sector (sector benchmark)

  • Moncler Group recorded a 76% employee engagement rate in 2024, based on responses from 6,777 employees worldwide.[25]
  • Global Fashion Group reported that 76% of employees would recommend it as a great place to work in its 2025 engagement survey.[26]
  • Burberry reported a colleague engagement score of 74 points in its fiscal 2023/24 Glint survey.[25]
  • Fast Retailing reported a 78.0% overall employee-engagement index in its fiscal 2025 survey, covering 36,827 respondents globally.[27]
  • H&M Group reported an employee satisfaction score of 76 out of 100 in 2024, up from 75 in 2023.[28]

Change Management in the fashion and textiles sector (sector benchmark)

  • Fashion and apparel companies attributed a 35% improvement in inventory and warehousing KPIs to digital transformation in a 2023 survey.[3]
  • Fashion and apparel companies attributed a 37% improvement in analytics and business-intelligence KPIs to digital transformation in a 2023 survey.[3]
  • Fashion and apparel companies attributed a 40% improvement in procurement KPIs to digital transformation, according to a 2023 industry survey.[3]
  • Fashion and apparel companies attributed a 39% improvement in sales and customer-service on-time-in-full KPIs to digital transformation in 2023.[3]
  • Across surveyed fashion and apparel companies, 75% were already on a digital-transformation journey and reporting positive results in 2023.[3]

08 Statistics

Customer & Sales

Customer & Sales emphasizes conversion and return outcomes from AI-enabled shopping, including a 236% conversion increase after AI virtual try-on across more than 700 women’s-fashion products.

Customer experience in the ai fashion industry

  • 80% of shoppers using Garcia’s AI virtual try-on rated the experience positively in a controlled fashion e-commerce test in 2026.[29]
  • 17.5% was the average-order-value uplift attributed to Curve Project’s conversational AI shopping assistant in Australia in 2026.[30]
  • 15% was Curve Project’s chat conversion rate after its conversational AI handled more than 4,000 apparel-customer enquiries in Australia in 2026.[30]
  • 83% of luxury consumers reported high or very high satisfaction with AI shopping tools in 2026, while 4% were dissatisfied globally.[1]

Customer retention in the ai fashion industry

  • 52% of consumers said brand experiences feel impersonal in the 2025 loyalty research cited in a fashion-retail AI analysis.[11]
  • 50% of fashion executives identified customer retention as a top priority for 2026, as AI makes product comparisons easier.[1]
  • 5.54% was the reduction in Garcia’s apparel return rate after adding AI virtual try-on in a 2026 controlled test.[29]

Customer acquisition in the ai fashion industry

  • 236% was the increase in Lojas Torra’s conversion rate after deploying AI virtual try-on across more than 700 women’s-fashion products in Brazil in 2026.[31]
  • 35% was the conversion-rate increase reported by Raw Looks after using AI-driven personalization for a high-end fashion customer-acquisition program in 2026.[32]
  • 7.06% higher conversion was recorded among Garcia shoppers who had access to AI virtual try-on in a 2026 A/B test.[29]
  • 51% was Tommy Hilfiger’s reported conversion-rate increase from predictive analytics and generative AI in its online fashion strategy.[13]

Customer loyalty in the ai fashion industry

  • 62% of fashion consumers said they have an emotional connection with the brands they buy from most in the 2026 BoF-McKinsey survey.[1]
  • 7.5% of Mavi’s personalized fit-finder quiz users converted to purchase across its United States and Canada online stores.[33]
  • 89% of fashion consumers surveyed in the United States, United Kingdom and China said belonging to a like-minded brand community strengthens brand connection.[1]

Lead generation in the ai fashion industry

  • 85% or more of Mavi visitors who viewed the AI fit-finder quiz started it, generating personalized fashion-shopping leads.[33]
  • 65% was the completion rate for Mavi’s AI-powered fit-finder quiz in its United States and Canada online stores.[33]
  • 4,000-plus customer enquiries were handled by Curve Project’s conversational AI for the Australian apparel brand in 2026.[30]

09 Statistics

Marketing & Brand

Marketing & Brand reports strong measured marketing returns, including 17x ROI for predictive-analytics and generative-AI fashion marketing activity cited for 2025.

Marketing in the ai fashion industry

  • 17x return on investment was reported by Tommy Hilfiger for predictive-analytics and generative-AI fashion marketing activity.[13]
  • 45% of fashion executives ranked marketing, including personalized communications, among the generative-AI use cases with the most potential in 2025.[1]
  • 41% of Gen Z and Gen Alpha consumers said they are more likely than older consumers to shop for fashion items with AI in 2025.[34]

Digital marketing in the ai fashion industry

  • 33% of fashion executives identified digital shopping, including live and social commerce, as a high-potential generative-AI use case in 2025.[1]
  • 13% of abandoned carts were recovered through Facebook Messenger in Mavi’s AI conversational-commerce program in the United States and Canada.[35]
  • 7x higher conversion was reported by Puma after implementing an AI shopping assistant for online product, sizing and fit questions.[35]
  • 50% of fashion executives identified product discovery and customer search as a high-potential generative-AI use case in 2025.[1]

Branding in the ai fashion industry

  • 80% of fashion consumers said great user reviews online strengthen their emotional connection with a brand in the 2026 BoF-McKinsey survey.[1]
  • 68% of fashion consumers said engaging and creative social-media content strengthens their emotional connection with a brand in 2026.[1]
  • 72% of fashion consumers said memorable advertising campaigns strengthen their emotional connection with a brand in 2026.[1]

Social media in the ai fashion industry

  • 67% of fashion consumers said influencer endorsements strengthen their emotional connection with a brand in the 2026 BoF-McKinsey survey.[1]
  • 43% higher reach was recorded for TikTok videos longer than 60 seconds compared with shorter videos in March 2025, according to fashion-industry consumer research.[1]
  • 67% of fashion consumers said engaging content across channels strengthens their emotional connection with a brand in 2026.[1]

Influencer Marketing in the fashion and textiles sector (sector benchmark)

  • 1.8% was the average influencer engagement rate for giant fashion brands, compared with 1.9% for challengers and 1.6% for up-and-comers in 2024.[36]
  • $15.1 billion in earned media value was generated by the top 100 global fashion brands in 2025.[37]
  • 1.21 trillion impressions were generated by fashion influencer content globally in 2023, primarily on Instagram.[38]
  • 1.53% was the average engagement rate for fashion influencer content in 2023, rising to 2.26% on TikTok.[38]
  • 25% of fashion earned media value came from TikTok globally in 2025, following 45.2% year-over-year growth in TikTok fashion earned media value.[37]

10 Statistics

Operations & Execution

Operations & Execution links AI deployment to throughput and inventory controls, including 240 stores using AI replenishment predictions in Shoeby’s network.

Process optimization in the ai fashion industry

  • 20 production models are retrained monthly by an AI platform used for merchandising and planning at a premium apparel company.[39]
  • 50% is the reduction in machine-learning deployment time reported by a premium apparel company after implementing a cloud-native AI platform.[39]
  • 24% was the reduction in size sampling achieved over one year through AI-supported fashion product development.[40]
  • 2 million customers were supported by an AI personalization engine for a fashion e-commerce platform that raised conversion to 3.5%.[41]
  • 34% was the decrease in size samplers reported over one year after AI adoption in a fashion-company case study.[40]

Operational efficiency in the ai fashion industry

  • 4% was the increase in inventory turnover reported by Dutch fashion retailer Shoeby after using AI replenishment predictions.[42]
  • 6 hours per week was the forecasting workload after AI adoption by a US apparel brand, down from 20 hours previously.[43]
  • 240 stores use AI replenishment predictions in Shoeby’s Dutch and German fashion-retail network.[42]
  • 2% was the reduction in end-stock reported by Shoeby after AI adjusted store-level minimum and maximum stocking limits.[42]
  • Nearly 40 countries are served by LPP’s fashion logistics network using an AI-powered warehouse-management project.[44]

Quality management in the ai fashion industry

  • 47% was the reduction in size-related returns achieved by TA3 SWIM in a six-month case study using 3DLOOK AI fitting technology.[45]
  • 62% was the improvement in conversion compared with a traditional size chart in an AI virtual-fitting case study.[46]
  • 77% was the reduction in refunds or replacements attributed to wrong fit in an AI virtual-fitting case study.[46]
  • 18% was the increase in product-discovery conversion for a 150-store North American fashion retailer after AI visual-search deployment.[47]
  • 32% was the relative reduction in return rates reported by a fashion retailer using AI visual search and size recommendations.[47]

Supply chain in the ai fashion industry

  • 5,000 suppliers gained access to an AI platform that Shein uses to analyze customer preferences and support small-batch fashion production.[48]
  • 150 stores were covered by a North American fashion retailer’s AI visual-search and size-recommendation implementation.[47]
  • 8 million annual e-commerce sessions were handled by the North American fashion retailer in an AI visual-search and sizing case study.[47]
  • 2,000 active SKUs were forecast by an AI demand-planning system for a US apparel brand operating through Shopify, Amazon and wholesale channels.[43]
  • 28% was the reduction in inventory costs reported by a US apparel brand using AI-powered demand forecasting.[43]

Outsourcing / Offshoring in the fashion and textiles sector (sector benchmark)

  • Across U.S. fashion companies, 46 countries were used as apparel sourcing destinations in 2025.[20]
  • Among surveyed apparel and footwear brands globally, 49% prioritized transforming their supply base to increase margins or decrease costs over the next two years.[49]
  • Among 67 surveyed apparel and footwear brands globally, approximately 7% reported mature practices across strategic sourcing, collaborative supply planning, and proactive supplier management.[49]
  • Among large U.S. fashion companies with 1,000+ employees, approximately 60% sourced apparel from at least 10 countries in 2025.[20]
  • Among U.S. fashion companies, more than 80% planned to further reduce apparel sourcing from China over the following two years through 2027.[20]

11 Statistics

Finance & Pricing

Finance & Pricing shows measurable effects on conversion, stockouts, and overstock, including 50% reduction in stockouts reported after replacing manual forecasting with AI forecasting.

Pricing strategy in the ai fashion industry

  • 3.5% was the conversion rate achieved by an AI-personalized fashion e-commerce platform after implementation.[41]
  • 6% was the approximate profit improvement achieved by an algorithmic pricing system in a fashion e-commerce experiment while maintaining comparable sales and revenue.[50]
  • 26% was the increase in revenue per visitor from personalized category recommendations reported by a fashion retailer.[51]
  • 33% was the conversion increase reported by fashion brand GJ after AI-supported personalization and product discovery.[52]
  • 4% was the increase in revenue per visitor reported by La Redoute after AI-powered segmentation and personalization.[53]

Cost reduction in the ai fashion industry

  • 50% was the reduction in stockouts reported by a US apparel brand after replacing manual forecasting with AI forecasting.[43]
  • 50% was the reduction in overstock reported by a fast-fashion retailer using AI demand forecasts.[54]
  • 32% was the relative reduction in returns reported by a fashion retailer using AI visual search and size recommendations.[47]
  • 34% was the decrease in size samplers reported after one year in an AI-supported fashion development case.[40]
  • 24% was the reduction in size sampling reported after one year of AI-supported fashion product development.[40]

Profitability in the ai fashion industry

  • 11.03% was the share of ECCO fashion revenue attributed to personalization after an AI personalization program, up from 3.32%.[52]
  • 6% was the approximate profit increase achieved by an AI pricing system in a fashion e-commerce experiment.[50]
  • 7% was the revenue increase reported by fashion brand GJ after AI-supported personalization.[52]
  • $45 million was the annual revenue reported after an AI-personalized fashion e-commerce platform scaled from $8 million.[41]
  • 28% was the revenue increase reported by a direct-to-consumer fashion brand after AI-powered personalization.[55]

Financial planning in the ai fashion industry

  • $130,000 was the margin recovered by an apparel brand after AI analyzed 15,000 return notes and reduced size-driven returns.[56]
  • $25 million to $50 million was the annual-revenue range of the US apparel brand using AI demand forecasting for purchasing and inventory planning.[43]
  • 94% was the reported demand-forecast accuracy achieved by a fashion seller using an AI inventory-optimization engine.[57]
  • 20 hours per week was the manual forecasting workload before a US apparel brand adopted AI demand forecasting.[43]
  • 180 days was the extended forecasting horizon used by an inventory-optimization system during a fashion seller’s supplier transition.[57]

12 Statistics

Product & Service

Product & Service covers design-to-production workflow impacts and downstream fitting outcomes, including 45 days saved per product line using AI-generated tech packs.

Product development in the ai fashion industry

  • 68% of mid-to-large fashion companies reportedly integrated AI into product-development workflows in 2026.[6]
  • 28% of global fashion executives reported using generative AI for design and product development in 2023.[1]
  • 25% of generative AI’s potential value in fashion was estimated to come from design and product development.[1]
  • 45 days were saved per product line when an American apparel group used AI-generated tech packs, according to Kōbō Labs.[7]
  • 18% lower costs were reported for an American apparel group after using AI-generated tech packs.[7]

Product lifecycle in the ai fashion industry

  • 168 days of inventory outstanding was the average reported across fashion companies in 2024.[1]
  • 100 to 200 units was the reported batch size used by Shein for demand-responsive production.[1]
  • 14% was the increase in fashion companies’ days of inventory outstanding in 2024 versus the 2020–2023 average.[1]
  • 10 days was Shein’s reported turnaround time for demand-responsive production, compared with a 21-day industry norm.[1]
  • 2,000 to 10,000 new fashion items per day were reportedly added to Shein’s platform, using real-time customer-demand data.[1]

After-sales in the ai fashion industry

  • 48% of US shoppers abandoned carts because of unexpected fees during the first three months of 2024.[1]
  • 35% was the increase in store conversion rates reported in tests of Dian Xiaomi 5.0 for fashion marketplace customer service.[58]
  • 22 customer-service tickets per 100 orders was the March 2026 apparel benchmark cited by Gorgias.[59]
  • 93% of apparel retailers expected returns to continue growing in importance and cost over the following three years.[1]
  • 8.8 hours was the median first-response time for apparel brands in the $10 million GMV band, according to a 2026 benchmark.[59]

Value proposition in the ai fashion industry

  • 18% of US AI users had completed an apparel, footwear or accessories purchase directly through an AI tool in June 2026.[1]
  • 50% of fashion executives ranked AI-enabled product discovery as a leading generative-AI use case for 2025.[1]
  • 82% of fashion consumers wanted AI to reduce the time needed for product research in 2025.[1]
  • 45% of fashion executives identified AI-driven marketing as a major value driver for 2025.[1]
  • 85% of luxury consumers used a multipurpose AI assistant to support shopping decisions in McKinsey’s survey.[1]

13 Statistics

Sustainability & Ethics

Sustainability & Ethics highlights sustainability and responsibility targeting, with 80% of fashion and technology professionals expecting measurable improvement in 2025.

Sustainability in the ai fashion industry

  • 50% of fashion executives prioritized AI-driven discovery, including AI-powered search, recommendations and virtual assistants, in 2025.[1]
  • 75% of fashion executives prioritized AI for demand forecasting, inventory optimization and cost control in 2025.[1]
  • 90% of fashion and technology professionals believed deeper use of 3D and digital design-to-production workflows could measurably reduce costs and improve sell-through in 2025.[60]
  • 80% of fashion and technology professionals believed technology would measurably improve their ability to meet sustainability and corporate-responsibility targets in 2025.[60]

Ethics in the ai fashion industry

  • 49% of multinational brand owners cited reputational risks as a major obstacle to wider generative-AI adoption in marketing in 2024.[61]
  • 43% of surveyed fashion and beauty professionals felt positive or very positive about AI's future impact on their careers in 2026.[19]
  • 25% of surveyed fashion and beauty professionals felt neutral about AI's future impact on their careers in 2026.[19]
  • 80% of multinational brand owners expressed concerns about how creative and media agencies used generative AI in 2024.[61]
  • 32% of surveyed fashion and beauty professionals felt negative or very negative about AI's future impact on their careers in 2026.[19]

15 Statistics

Globalization & Expansion

Globalization & Expansion quantifies adoption and traffic effects, including 53% of US consumers using generative AI for search also using it for shopping in Q2 2025.

Globalization in the ai fashion industry

  • 85% of US consumers using generative AI for shopping said the experience was better than traditional methods in 2025, according to McKinsey.[1]
  • 16% of Zara’s inbound traffic came from ChatGPT between June and August 2025, according to SimilarWeb data reported by McKinsey.[1]
  • 23% of consumers primarily used generative AI to discover products in 2025, according to McKinsey’s fashion research.[1]
  • 53% of US consumers who used generative AI for search in the second quarter of 2025 also used it for shopping, according to McKinsey.[1]
  • 8% of H&M’s inbound traffic came from ChatGPT between June and August 2025, according to SimilarWeb data reported by McKinsey.[1]

Cultural adaptation in the ai fashion industry

  • 52% of young fashion-AI users used AI for shopping assistance multiple times a week or more in 2025, according to BCG.[66]
  • 51% of young fashion-AI users compared products multiple times a week or more in 2025, according to BCG.[66]
  • 57% of Gen Alpha and Gen Z fashion shoppers used AI at least once a week in 2025, according to BCG.[66]
  • 58% of Millennial and older fashion shoppers used AI at least once a week in 2025, according to BCG.[66]
  • 57% of young fashion-AI users explored new trends multiple times a week or more in 2025, according to BCG.[66]

Stakeholder management in the ai fashion industry

  • 75% of fashion executives prioritized AI for demand forecasting, inventory optimization and cost control in 2025, according to McKinsey.[1]
  • 45% of fashion executives viewed AI-driven marketing as a major value driver in 2025, according to McKinsey.[1]
  • 39% of fashion executives identified curated product recommendations as a high-potential generative-AI use case for 2025.[1]
  • 50% of fashion executives identified product discovery and customer search as a high-potential generative-AI use case for 2025.[1]
  • 33% of fashion executives identified back-end supply-chain and logistics applications as a high-potential generative-AI use case for 2025.[1]

Distribution channels in the ai fashion industry

  • 27% lower bounce rates were recorded for visitors arriving through generative-AI tools than for average shoppers in Adobe Analytics data cited by Strategy& for 2025.[16]
  • 18% was Zalando’s year-on-year profitability increase in the second quarter of 2024, partly attributed to generative-AI features.[1]
  • 20% or more was the increase in product clicks after Zalando deployed an AI-powered fashion assistant across 25 markets in 2024.[16]
  • 25% of respondents in Germany and Austria said they were likely or very likely to buy fashion directly through an AI assistant in 2025.[16]
  • 40% was the increase in wish-list additions after Zalando deployed an AI-powered fashion assistant across 25 markets in 2024.[16]

Key questions about the AI Fashion Industry

How large is the global AI-in-fashion market in 2025, and what is the 2034 forecast?
The global AI-in-fashion market was valued at $1.81 billion in 2025 and is projected to reach $40.81 billion by 2034.
What growth rate is expected for AI-in-fashion from 2026 to 2034?
Fortune Business Insights forecasts the market to grow from $2.56 billion in 2026 to $40.81 billion in 2034, at a 41.39% CAGR.
Which companies lead the ai fashion industry?
Botika and Stylitics are tied at the top of Gitnux's 2026 ai fashion ranking with an Overall score of 9.5 each.
What technology shifts are most emphasized by fashion executives?
Fashion executives prioritized AI for demand forecasting, inventory optimization, and cost control in 2025, with 75% identifying those areas as priorities. They also report 50% using AI-driven product discovery as a key use case.
How does the market structure typically segment AI in fashion?
Market reports commonly segment AI in fashion by component, deployment, application, product category, and end user, covering uses like recommendation engines, product search, demand forecasting, creative design, trend forecasting, and virtual try-on.
What operational constraints are reported for scaling AI use in fashion?
90% of fashion AI initiatives reportedly failed to scale beyond the pilot stage. Reported barriers also include high implementation costs, fragmented legacy systems, limited in-house expertise, and uncertainty over governance and ethics.
Reference

Cite This Report

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APA
Marcus Afolabi. (2026, February 13). AI Fashion Industry Statistics. Gitnux. https://gitnux.org/ai-fashion-industry-statistics
MLA
Marcus Afolabi. "AI Fashion Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-fashion-industry-statistics.
Chicago
Marcus Afolabi. 2026. "AI Fashion Industry Statistics." Gitnux. https://gitnux.org/ai-fashion-industry-statistics.

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