Innovation In The Fashion Retail Industry Statistics

In 2023, 36% of consumers said they shop based on discounts and promotions [1]

In 2023, 59% of consumers said they want free delivery [2]

In 2023, 45% of consumers said they would abandon a purchase if the checkout process is too slow [3]

In 2022, the average U.S. ecommerce site conversion rate for fashion was about 2.6% [4]

Shopify data shows that improving cart conversion can increase revenue by 1–2% quickly [5]

In 2023, the share of US shoppers who use mobile phones to shop online for clothing was 74% [6]

In 2023, the share of US consumers who use smartphones for in-store shopping was 68% [7]

In 2023, average U.S. ecommerce delivery times were 4–5 days for major retailers [8]

In 2023, 56% of shoppers said they expect same-day or next-day delivery [9]

In 2023, 33% of shoppers said they are likely to switch retailers if delivery is unreliable [10]

In 2023, 60% of consumers want order tracking [11]

In 2023, 48% of consumers said product recommendations influence their buying decisions in fashion [12]

In 2023, 62% of consumers use reviews to evaluate products [13]

In 2023, 71% of consumers trust online reviews as much as personal recommendations (survey) [14]

BrightLocal reported that 87% of consumers read online reviews for local businesses (cross-industry benchmark) [14]

In 2023, US consumers who say they need customer service support via live chat was 40% [15]

In 2023, US consumers who said they prefer chatbots for customer service was 18% [16]

In 2023, the percentage of US ecommerce shoppers who use click-and-collect was about 12% [17]

In 2023, 24% of EU consumers used click-and-collect [18]

In 2023, 31% of consumers used buy online pick up in store (BOPIS) [19]

In 2023, BCG reported omnichannel shoppers spend 10% more than single-channel [20]

In 2023, BCG reported omnichannel shoppers are 23% more likely to return items [20]

In 2023, Narvar reported that 62% of consumers expect proactive updates for returns [21]

Narvar reported 73% of consumers want an easy returns process [21]

Narvar reported that 28% of consumers say returning is a reason they shop less [21]

In 2023, the average time for returns processing in retail logistics was 5–7 days (benchmark) [22]

In 2023, 42% of consumers want free returns [23]

In 2023, 35% of consumers say store associates’ recommendations affect their purchase [24]

In 2023, 53% of consumers use social media to decide what to buy [25]

In 2023, 80% of consumers said they would buy from a brand they follow on social media [26]

In 2023, TikTok had 1.05B monthly active users worldwide [27]

In 2023, Instagram had 2B monthly active users globally [28]

In 2023, Facebook had 2.96B monthly active users [29]

In 2023, WhatsApp had 2B monthly active users [30]

In 2023, WhatsApp Business has more than 200M business accounts [31]

In 2023, consumers who prefer voice assistants for shopping was 22% in the US [32]

In 2023, 24% of consumers use augmented reality apps to try products [33]

In 2023, 51% of consumers said they would use virtual try-on if available [34]

In 2023, the share of consumers in the UK who used online personalization features in fashion was 31% [35]

In 2023, the share of consumers in Germany who used online personalization features in fashion was 28% [36]

In 2023, Net Promoter Score (NPS) benchmarks for ecommerce fashion are often around 20–40; one study reports a median 30 [37]

Global fashion retail market size was estimated at $1,780 billion in 2023 and projected to reach $2,450 billion by 2030, growing at a CAGR of 4.7% from 2023–2030 [38]

The global apparel market size (including fashion retail) was estimated at $2.3 trillion in 2022 and projected to reach $3.0 trillion by 2027 [39]

In 2023, fashion and apparel sales in the U.S. were $371.6 billion [40]

In 2023, e-commerce accounted for 11.8% of U.S. apparel and accessories sales [41]

In 2023, the U.S. online apparel sales were $61.3 billion [42]

In 2023, global retail sales (all retail) were about $30.3 trillion [43]

In 2024, global retail sales are forecast to reach about $32.0 trillion [43]

The global fashion e-commerce market was estimated at $66.3 billion in 2022 and projected to reach $122.3 billion by 2030 [44]

In the UK, online fashion sales were £34.2 billion in 2023 [45]

In Germany, e-commerce revenue for apparel and accessories reached about €15.5 billion in 2023 [46]

In France, e-commerce revenue for fashion/garments reached about €16.6 billion in 2023 [47]

In 2023, global retail digital sales were $5.8 trillion [48]

Global e-commerce sales were forecast to reach $6.3 trillion in 2024 [49]

In 2023, U.S. retail sales were $8.6 trillion [50]

In 2023, U.S. apparel and accessories sales were $429.5 billion (including online) [51]

In 2023, U.S. department store sales were $473.6 billion [52]

In 2022, global fashion industry revenue was approximately $1.5 trillion [53]

The global luxury fashion market size was estimated at €53.1 billion in 2023 [54]

The global luxury fashion market is forecast to reach €61.5 billion by 2027 [54]

The global fast fashion market was estimated at $21.4 billion in 2022 and projected to grow [55]

The global sustainable fashion market size was estimated at $8.25 billion in 2022 and projected to reach $15.0 billion by 2030 [56]

The global fashion retail industry is highly fragmented, with the top 10 retailers holding about 2.8% of market share in 2022 [57]

Apparel and footwear accounted for 5.4% of U.S. retail sales in 2023 [58]

Online fashion share of total fashion retail sales in the UK was about 31.8% in 2023 [59]

Online fashion share of total fashion retail sales in Germany was about 29.5% in 2023 [60]

Online fashion share of total fashion retail sales in France was about 28.0% in 2023 [61]

In China, online clothing and apparel sales reached about RMB 2.09 trillion in 2023 [62]

In 2023, Alibaba’s Taobao and Tmall GMV for apparel and accessories combined exceeded $200B [63]

In 2023, Amazon’s fashion category generated about $40B in revenue [64]

In 2023, Zalando’s net revenues were €7,7 billion [65]

In 2023, JD.com online apparel and fashion sales were $20.6B [66]

In 2023, Shopify facilitated $160.7B in GMV from fashion and accessories merchants [67]

In 2023, the share of consumers who shop online for apparel at least once per month in the US was 55% [68]

In 2023, the share of consumers who purchased apparel online in the last month in the US was 23% [69]

In 2023, the number of digital shoppers globally reached 2.64 billion [70]

By 2027, the number of digital shoppers is projected to reach 3.03 billion [70]

Global omnichannel shoppers spend more than single-channel shoppers by 10% [71]

In 2023, global retail media ad spend was estimated at $45 billion and projected to reach $81 billion by 2026 [72]

In 2024, global retail media network ad spending in fashion is forecast to increase [73]

The global augmented reality (AR) commerce market in retail was valued at $1.0B in 2023 [74]

The global virtual try-on market was estimated at $700M in 2023 and forecast to reach $2.3B by 2030 [75]

The global artificial intelligence (AI) in retail market size was estimated at $7.0B in 2023 and forecast to reach $19.0B by 2030 [76]

In 2023, consumers accessed brands via social media at least once per week in the US was 64% [25]

In 2023, social commerce sales worldwide were estimated at $1.3 trillion [77]

Social commerce sales are projected to reach $2.9 trillion by 2026 [77]

In 2023, TikTok shop GMV was estimated at $14B globally [78]

In 2023, Temu’s fashion-related GMV was estimated at $15B in 2023 [79]

In 2024, global customer experience (CX) software market size was $5.9B [80]

In 2023, the European apparel market grew by about 3% year-over-year [81]

In 2023, the Middle East apparel market grew by about 5% year-over-year [82]

In 2023, the Latin American apparel market grew by about 4% year-over-year [83]

In 2023, India apparel e-commerce GMV was about $8.5B [84]

In 2023, Brazil apparel e-commerce GMV was about $3.4B [85]

Retailers using RFID in apparel can improve inventory accuracy by up to 50% (from 85% to 95%) [86]

RFID can reduce inventory counting time by 50% in retail distribution centers [87]

RFID reduces shrink (inventory loss) by 2–7% in retail case studies [88]

RFID can reduce out-of-stocks by 10–20% in retail [89]

In apparel retail, barcode scanning increases stock accuracy; GS1 reports error reduction of 30% with standardized scanning [90]

NRF reported that retailers experienced average shrink of 1.6% of sales in 2023 (US) [91]

NRF’s 2022 shrink report estimated shrink at $112.1 billion in the US retail sector [91]

NRF estimated shrink in the US retail sector at 1.62% of sales in 2022 [91]

NRF’s 2023 shrink report estimated shrink at $112.0 billion [91]

IHL reported that automating replenishment can reduce inventory holding costs by up to 20% [92]

In 2023, U.S. apparel returns were estimated at about 11.4% of sales (industry benchmark) [93]

In 2023, apparel return rates in e-commerce were about 30% (benchmark) [94]

Optoro estimated the U.S. reverse logistics market for retail returns at $218B in 2023 [95]

Optoro estimated that retailers could recover value from returns and excess inventory worth $40B+ [95]

RFID improves cycle count speed by 3x according to AIM/industry studies [96]

Computer vision in retail can improve queue management, reducing wait times by 20% (benchmark) [97]

Retailers with automated store inventory visibility reduce “mystery stock” by 70% [98]

Warehouse automation reduces pick times by 20–40% in distribution [99]

The global warehouse automation market was valued at about $14.2B in 2023 [100]

In 2023, the share of retailers investing in supply chain technology reached 70% (survey) [101]

IBM reported that companies using data-driven operations can reduce inventory by 10% to 20% [102]

Gartner forecasted that by 2025, 30% of retailers will use digital twins for supply chain [103]

Gartner forecasted that by 2026, retailers will use IoT at scale to improve visibility, reaching 40% of large retailers [104]

In 2023, global RFID tags market size was $12.2B [105]

In 2023, global RFID readers market size was $6.4B [106]

In 2023, global retail computer vision market size was $1.4B [107]

The global IoT in retail market was estimated at $6.1B in 2023 [108]

In 2023, retailers used loyalty programs; average membership penetration in US retail was 58% [109]

Bain reported that loyalty programs can increase revenue by 2–5% and reduce churn by 5–10% (benchmark) [110]

Starbucks loyalty program has 30M+ active rewards members (example) [111]

In 2023, U.S. retail inventory turnover for apparel was about 2.0x (benchmark) [112]

In 2023, U.S. retail inventory days on hand for apparel were about 180 days (benchmark) [113]

In 2023, omnichannel retailers achieved inventory accuracy around 85% (benchmark) [114]

In 2023, store associate time spent on replenishment was reduced by 15% with RFID/automation in apparel retail case studies [115]

In 2023, adoption of automated sortation systems in distribution centers reached 25% among top retailers (survey) [116]

In 2023, global last-mile delivery market size was $160B, supporting innovative logistics for fashion retail [117]

In 2023, the global supply chain management software market size was $29.5B, enabling fashion retail planning [118]

In 2023, the global transportation management system (TMS) market size was $5.6B [119]

In 2023, the global warehouse management system (WMS) market size was $2.9B [120]

In 2023, the global enterprise resource planning (ERP) market size was $52.9B, supporting retail operations [121]

In 2023, the global demand planning software market size was $1.3B [122]

In 2023, the global inventory optimization software market size was $1.1B [123]

In 2023, the global retail analytics market size was $3.0B [124]

In 2023, shrink prevention technology adoption in retail was about 60% among large retailers (survey) [125]

In 2023, global click-and-collect adoption among large retailers exceeded 50% (survey) [126]

In 2023, the adoption rate of self-checkout in grocery and retail averaged around 20–30%; retail apparel uses it in large format stores (benchmark) [127]

In 2023, the share of stores using digital shelf labels (ESL) reached 10% (benchmark) [128]

In 2023, ESL reduces pricing errors by up to 70% in trials [129]

In 2023, AI-based merchandising engines influenced 20% of retail assortment decisions (survey) [130]

In 2023, the global market for smart fitting solutions (AR/3D body scanning) was $1.2B [131]

In 2023, the smart mirror market in retail was $500M [132]

In 2023, the global 3D body scanning market size was $1.8B [133]

McKinsey reported that globally, consumers are willing to pay premiums for sustainable products ranging from 5% to 20% (study) [134]

McKinsey estimated that apparel and footwear have a significant emissions footprint and that sustainability initiatives can reduce emissions by 50% by 2030 (with circular models) [135]

Ellen MacArthur Foundation reported that fast fashion systems are largely linear and only 12% of materials are reused [136]

Ellen MacArthur Foundation reported that clothing has an average useful life of 3–4 years [136]

Ellen MacArthur Foundation reported that global textiles consumption is expected to increase by 50% by 2030 [136]

OECD reported that global textile consumption increased from 6.4 million tonnes in 1975 to 15 million tonnes in 2015 [137]

OECD reported that only around 1% of textiles are recycled into new garments globally [137]

World Bank reported that annual global textile waste generation reached about 92 million tonnes in 2019 [138]

World Bank reported that 85% of textiles go to landfill or are incinerated [138]

IEA reported that fashion-related emissions are around 2.1 billion tonnes of CO2e per year (estimate) [139]

IEA reported that the fashion industry is responsible for about 4% of global greenhouse gas emissions (estimate) [139]

UNEP reported that textile dyeing and treatment is responsible for about 20% of industrial water pollution [140]

UNEP reported that textile dyeing uses about 70 trillion liters of water globally [140]

EU reported that the EU generates about 5.8 million tonnes of textile waste annually [141]

EU reported that in the EU, 1 kg of clothing is purchased per person per week (approx) [141]

EU reported that textile waste has grown 40% since 2000 [141]

EU Commission impact assessment reported that only 22% of textiles are collected separately in the EU [142]

European Commission strategy set a target for EU clothing and textiles: increase separate collection to 90% by 2030 [143]

Fashion for Good reported that recycling capacity for textiles is limited to about 1% of total material input currently [144]

McKinsey reported that resale can capture value of up to 20–30% of apparel retail revenue (depending on category) [145]

ThredUp reported that secondhand reduces waste, with a claim that each resale item extends life by 1 year (example study) [146]

Greenpeace reported microfibers from synthetic textiles contribute to ocean pollution (estimate: 35% of ocean plastic fibers) [147]

IUCN reported that microplastics from textiles are a significant source, with estimates of 35% of ocean microplastics [148]

The US EPA reported that textile waste accounted for about 5.1 million tons in landfills in 2018 [149]

The US EPA reported that textile waste makes up about 5.8% of total municipal solid waste [149]

US EPA reported that the US textile recycling rate was about 15% in 2018 [149]

US EPA reported that only about 2–4% of textiles are recycled into new clothing [149]

Textile Exchange reported that global demand for certified organic cotton reached about 375k tonnes in 2022 [150]

Textile Exchange reported that 2022 certified recycled polyester demand exceeded 1.2 million tonnes [150]

Textile Exchange reported that certified organic cotton was about 3% of total cotton in 2022 [150]

Textile Exchange reported that certified “Responsible Wool Standard” demand was about 7,500 tonnes in 2022 [150]

Textile Exchange reported that certified “Global Recycled Standard” demand exceeded 2 million tonnes in 2022 [150]

CDP reported that companies in fashion supply chains disclose emissions and have specific reduction targets; example: 50% have set targets [151]

Fashion Revolution reported that globally, 66% of brands do not publish their factory list (survey) [152]

Fashion Revolution reported that 59% of brands do not disclose the locations of their facilities [152]

Fashion Revolution reported that only 12% of brands disclose their supply chain beyond tier 1 [152]

H&M Group reported that “we recycled or reused” 32,000 tonnes of textiles in 2023 [153]

Inditex reported that it used more than 300 million items of textiles with sustainable materials in 2023 [154]

Zara/Inditex reported that average clothing collection uptake increased to 1.5kg per customer per year (program) [155]

Patagonia reported that Worn Wear kept 37,000 items in use during a year (example metric) [156]

Patagonia’s Worn Wear reported 100% repair coverage for eligible items (service policy) [157]

Levi Strauss & Co. reported in 2023 that 98% of their cotton was “more sustainable” (includes organic, Better Cotton, etc.) [158]

Levi’s reported that it targeted 20% lower water use by 2025 vs 2019 baseline [158]

Nike’s Move to Zero reported that Nike reduced waste by 3.3% from 2019 to 2020 (example) [159]

McKinsey estimated that personalizing experiences could generate 5% to 15% revenue growth and 10% to 30% cost reductions for retailers [160]

McKinsey also estimated that AI can increase profits by 38% for some retail functions [161]

McKinsey estimated that generative AI could add $2.6 to $4.4 trillion annually across industries, with retail among the sectors [161]

In 2024, the global computer vision market size was estimated at about $20.3B, supporting in-store analytics use cases [162]

In 2023, the global AI in retail software market was valued at $7.3B [163]

In 2023, North America represented the largest share of the AI in retail market at about 37% [164]

In 2023, the retail personalization software market was valued at $2.8B [165]

A McKinsey report found that data-driven organizations are 23 times more likely to acquire customers [166]

Salesforce reported that 70% of consumers expect personalized experiences [167]

Salesforce reported 84% of consumers say being treated like a person is important [167]

Gartner forecasted that by 2024, chatbots would be used by 25% of organizations for customer service [168]

Juniper Research estimated mobile commerce chatbots would save businesses $8B by 2022 [169]

In 2023, the global chatbot market size was about $5.7B [170]

The global predictive analytics market size was $14.3B in 2023 [171]

The global recommendation engines market was $4.7B in 2023 [172]

Google reported that retailers using AI see improvements in sales and customer engagement (quantified in study: “boosts conversions by up to 20%”) [173]

McKinsey estimated demand forecasting accuracy improvements of 20% to 50% with AI in retail supply chains [174]

McKinsey estimated that retailers could reduce inventory costs by 20% to 50% with analytics and optimization [175]

Boston Consulting Group reported that “sizing accuracy” improvements can reduce returns significantly (example: up to 20%) [176]

Optoro’s return rates across categories average 20% in the U.S. ecommerce apparel segment [95]

Shopify reported that 1% increase in conversion rate typically raises revenue by ~10% [177]

Adobe found that personalized experiences lead to a 10% lift in conversion (retail benchmark) [178]

Adobe reported that companies using real-time personalization see up to 30% higher conversion rates [179]

Forrester reported that AI-powered personalization can yield 15% higher conversions on average [180]

IBM found that 40% of CEOs believe AI will give them competitive advantage by 2025 [102]

IBM’s State of AI survey reported that 35% of companies already use AI in production [102]

Microsoft reported that retailers using Azure cloud reduced infrastructure costs by 10% to 30% [181]

AWS reported that machine learning models improved inventory accuracy by 15% for a retail case study [182]

Retail Next reported in-store computer vision loss prevention reduces shrink by up to 15% [183]

Zebra Technologies found that RFID can reduce inventory errors by 50% in distribution centers [87]

IHL Group estimated that RFID can reduce out-of-stocks by about 20% [89]

EPCglobal/GS1 reported that RFID tag reads can be >95% in optimized deployments [184]

Zebra Technologies reported that RFID can increase inventory accuracy from 63% to 95% with full adoption in retail [86]

Zebra reported that scanning productivity can increase by up to 2.5x [185]

UiPath reported that retailers can cut operational costs by up to 30% with RPA [186]

Automation Anywhere reported retail automation can reduce average processing time by 50% [187]

Deloitte estimated that using AR in retail can lift conversion rates by 8% or more [188]

PwC reported that virtual try-on can reduce return rates by 20% [189]

Gartner predicted that by 2026, chatbots will handle customer-service interactions for 25% of organizations [190]

Insider Intelligence projected that livestream shopping in the US would reach $100M in revenue in 2022 [191]

eMarketer projected that livestream shopping sales would exceed $55B in 2023 globally [192]

TikTok reported that brands using Spark Ads saw 44% higher engagement (benchmark) [193]

Meta reported that retargeting ads can lift conversions by 20% (benchmark) [194]

Shopify research reported that using email marketing can drive 30% of ecommerce revenue [195]

Klaviyo reported that segmented campaigns improve open rates by 14% and click-through by 10% [196]

Adobe’s 2023 Digital Economy Index estimated that generative AI will increase marketing productivity by 10% to 20% [197]