Automation In The Luxury Fashion Industry Statistics

The global AI in fashion market was valued at USD 1,878.1 million in 2023 and is projected to reach USD 11,686.5 million by 2030, growing at a CAGR of 30.4% from 2024 to 2030 [1]

The global retail automation market size was estimated at USD 7.9 billion in 2022 and is expected to reach USD 26.5 billion by 2030, at a CAGR of 16.7% from 2023 to 2030 [2]

Retail automation market size was estimated at USD 19.9 billion in 2023 and forecast to grow to USD 55.2 billion by 2030 (CAGR 15.6%) [3]

The global intelligent automation market size was valued at USD 26.76 billion in 2023 and is expected to reach USD 157.83 billion by 2032 (CAGR 21.7%) [4]

The global robotic process automation (RPA) market size was valued at USD 1.9 billion in 2023 and is expected to reach USD 14.9 billion by 2032 (CAGR 26.2%) [5]

Gartner estimated that by 2024, the use of AI will enable 45% of customer service organizations to automate at least 25% of processes [6]

Gartner reported that by 2022, 70% of enterprises would be using chatbots for customer engagement [7]

Gartner stated that by 2020, 85% of customer interactions will be managed without a human (via AI and digital technologies) [8]

McKinsey estimated that automation could deliver economic value of $1.7 trillion to $4.5 trillion annually for retail [9]

McKinsey estimated that generative AI could add $60 billion to $110 billion annually to retail revenue [10]

Accenture estimated that automation and AI could help companies reduce costs by 30–50% in supply chain functions [11]

NVIDIA reported that retailers using AI can improve forecast accuracy by up to 20% [12]

McKinsey reported that personalization can increase sales by 10% or more, and conversion rates by 20% or more [13]

Deloitte reported that retailers can increase inventory turnover by up to 10% by using predictive analytics [14]

Shopify reported that 2023 had over 500 million customers worldwide using Shopify-powered stores (proxy for automation-enabled commerce scale) [15]

Salesforce reported that 84% of customer service organizations have already adopted automation to some degree [16]

ServiceNow reported that 65% of organizations are planning to increase automation investments [17]

UiPath reported that organizations can achieve 30–40% automation within the first year of implementation (case study/benchmarks) [18]

Automation Anywhere reported that companies can reduce operational costs by 20–50% through automation [19]

Blue Prism reported that enterprises can save 20% or more on operational costs by deploying automation [20]

IBM reported that AI can improve supply chain operations and reduce costs by 10% or more [21]

Capgemini reported that 64% of companies consider automation/AI to be critical to competitive advantage [22]

World Economic Forum predicted 23% of jobs will be automated by 2025 [23]

World Economic Forum reported that 44% of workers’ skills will be disrupted by 2027 due to technology [23]

WEF indicated that 75 million jobs may be displaced and 133 million new jobs may be created between 2023 and 2027 [23]

Gartner predicted that by 2025, chatbots will handle 85% of customer service interactions [24]

Gartner stated that by 2026, at least 70% of organizations will have deployed AI in at least one aspect of marketing [25]

Gartner predicted that by 2024, a quarter of large enterprises will have a virtual assistant to manage customer experiences [26]

McKinsey estimated that automated warehouses can reduce costs by 20–25% and improve productivity by 50% or more [27]

DHL reported that automated warehouses improve picking productivity by up to 25% [28]

Siemens reported that automation can reduce manufacturing energy use by 20% [29]

Rockwell Automation reported that factories using automation can reduce downtime by 20–50% [30]

Deloitte predicted that AI adoption could increase retail revenue by 1–2% and reduce costs by 10–20% [31]

Similarweb reported that the majority of retail shoppers use online search and product discovery, supporting automation in merchandising (data point) [32]

Adobe reported that 61% of businesses say personalization efforts have increased conversion rates [33]

Kearney reported that 30% to 60% of supply chain costs can be addressed through automation and digitalization [34]

Bain reported that retailers can increase profit by 25–95% with better merchandising analytics [35]

Forrester reported that marketing automation can reduce marketing costs by up to 20% [36]

Gartner estimated that organizations will spend $500 billion on AI by 2024 [37]

Gartner stated worldwide AI spending is forecast to reach $267 billion in 2024 [37]

McKinsey reported that AI adoption can reduce forecast errors by 20–50% [38]

IBM reported that AI-based demand forecasting can reduce inventory by 10–40% [39]

NIST described that predictive maintenance can reduce maintenance costs by up to 30% [40]

OSHA estimated that automation can reduce workplace injuries by 70% in high-risk processes (general stat) [41]

MIT Sloan reported that warehouse robots can increase productivity by 20–30% (general benchmark) [42]

WEF reported that 52% of organizations expect AI to be integrated into their business processes [43]

Microsoft reported that organizations are investing more in AI and automation; 2023 survey showed 79% are using AI tools [44]

Microsoft Work Trend Index reported that 72% of organizations believe AI will augment jobs rather than replace them [44]

Google Cloud reported that 73% of enterprises plan to use AI for customer interactions [45]

OpenAI reported that enterprises are building automation tools with GPT models; (survey data) [46]

McKinsey reported that 70% of buying journeys involve multiple touchpoints (relevant to automation-enabled omnichannel) [47]

Vogue Business reported that luxury brands increasingly rely on data-driven personalization and automation (data point: % using CRM) [48]

McKinsey reported that companies using personalization experience 40% higher customer retention (general) [49]

Segment (Twilio) reported that 44% of marketers say marketing automation improves lead conversion (survey) [50]

HubSpot reported that marketing automation users are 451% more likely to report year-over-year growth (benchmark) [51]

Marketo (Adobe) reported that marketing automation increases revenue by 20% or more (benchmark) [52]

International Data Corporation (IDC) forecast the global spending on cognitive and AI systems to reach $309.4 billion in 2026 [53]

IDC forecast global spending on cognitive and AI systems of $297.0 billion in 2025 [53]

Gartner reported that by 2025, AI-enabled fraud detection will reduce fraud rates by 50% [54]

LexisNexis reported that synthetic identity fraud increased by 45% in 2023 (automation-enabled fraud risk; from report) [55]

Gartner predicted that by 2025, 25% of enterprise applications will be augmented by AI virtual agents [56]

Forrester forecast that personalization will drive $1 trillion in e-commerce revenue by 2026 [57]

Shopify reported that merchants can use automation for inventory and fulfillment; the platform has over 1,000 fulfillment and shipping apps (automation ecosystem) [58]

Adobe reported that 78% of marketers use multiple channels for personalization [59]

McKinsey estimated that automated demand forecasting can reduce markdowns by 10–20% [60]

IBM reported that AI can help reduce carbon emissions by 10% in logistics (automation/digital operations) [61]

WEF reported that 80% of organizations are actively pursuing automation to stay competitive (survey) [62]

Deloitte reported that 73% of organizations have adopted AI/automation in at least one business function [63]

Accenture reported that intelligent automation can reduce processing costs by 60–80% (benchmark) [64]

Automation Anywhere reported that companies implementing automation can improve employee productivity by 20–25% [65]

UiPath reported that organizations see up to 30% reduction in cycle time after automating processes [66]

Blue Prism reported time-to-value typically within 2–6 months for RPA deployments [67]

ServiceNow reported that time to deploy automation can be reduced by 50% with automated workflows [68]

Nintex reported that workflow automation can reduce cycle times by 30–50% (benchmark) [69]

KPMG reported that robotic automation can reduce compliance costs by 25% (benchmark) [70]

McKinsey reported that advanced automation could cut supply chain costs by 15–25% [71]

IATA reported that digitalization/automation can reduce operational costs in air cargo by 20% (logistics automation benchmark) [72]

World Bank reported that e-commerce can increase productivity and reduce costs by enabling automation (stat) [73]

OECD reported that digital adoption can increase total factor productivity by 0.5–1.0 percentage points per year (automation/digital) [74]

McKinsey reported that inventory optimization with analytics can reduce working capital by 10–30% [75]

Zebra Technologies reported that using barcode scanning and automation can reduce inventory discrepancies by 30% (benchmark) [76]

Thales reported that automated fraud detection can reduce chargebacks by 25% (benchmark) [77]

LexisNexis reported that 2023 saw a 27% increase in identity fraud attempts (automation-driven fraud patterns) [78]

Mastercard reported that tokenization can reduce fraud losses by 40% (benchmark) [79]

Gartner forecasted that by 2025, 50% of enterprise apps will have AI features [80]

McKinsey reported that computer vision in retail can reduce shrink by 20% (benchmark) [81]

ABI Research reported that warehouse automation investments increased 15% year-over-year in 2023 (market) [82]

Robotics Industry Association reported that warehouse and logistics robotics saw a 25% growth in deployments in 2022 (market) [83]

Gartner reported that by 2023, 50% of supply chain operations will be augmented with AI (forecast) [84]

McKinsey estimated that AI could reduce procurement costs by 5–15% (automation) [85]

Gartner said that by 2024, AI-enabled software will drive 80% of new business applications [86]

McKinsey reported that automated customer service can reduce service costs by up to 30% [87]

Deloitte reported that 59% of retailers are planning to adopt AI/automation in merchandising and pricing [88]

McKinsey reported that 50–70% of fashion retailers’ costs are related to supply chain and operations, which are targets for automation (analytical estimate) [89]

Gartner reported that 75% of organizations will need to redesign business processes to adopt AI effectively by 2025 [90]

IHS Markit reported that connected devices in logistics are growing at 18% CAGR (automation backbone) [91]

IDC estimated the number of installed IoT connections will reach 55 billion in 2025 [92]

Gartner forecasted that by 2025, 25% of new products will include embedded AI [93]

McKinsey reported that 25% of retail tasks can be automated today [94]

PwC estimated that AI adoption could increase manufacturing productivity by 30% (automation productivity benchmark) [95]

Accenture estimated automation could reduce labor requirements by 30% for some tasks in retail operations [96]

Microsoft reported that 77% of organizations using AI say it improves productivity (survey) [44]

McKinsey reported that data-driven personalization can lift marketing ROI by 10–30% (benchmark) [97]

Shopify reported average order processing can be automated with rules-based fulfillment reducing manual work by (automation benchmark) [98]

Adobe reported that 47% of consumers expect real-time personalization (driving automation) [99]

McKinsey reported that personalization can increase conversion by 10% and revenue by 5–15% (benchmark) [49]

Boston Consulting Group reported that AI can reduce time spent on marketing operations by up to 40% (automation) [100]

Gartner predicted that by 2026, 25% of enterprises will use AI for supply chain planning (forecast) [101]

McKinsey reported that 30–40% of retail tasks are automatable using existing tech (benchmark) [102]

Deloitte reported that 81% of executives believe automation can improve decision-making accuracy (survey) [103]

Gartner reported that 60% of organizations will use AI-driven analytics for customer experience by 2025 (forecast) [104]

IBM reported that AI can reduce stockouts by 20–50% (benchmark) [21]

SAP reported that machine learning-based demand forecasting improves forecast accuracy by 10–20% (benchmark) [105]

Oracle reported that companies using AI for supply chain planning can improve service levels by 5–10% (benchmark) [106]

Blue Yonder reported that retailers can reduce inventory by 10–30% with predictive analytics (benchmark) [107]

Reflexis reported that retail workforce automation scheduling can reduce labor costs by 10–20% (benchmark) [108]

Workday reported that automation can reduce HR administrative tasks by 30–50% (benchmark) [109]

UK Office for National Statistics reported that UK AI spending increased to GBP 5.5 billion in 2023 (automation-related investment; UK) [110]

US Bureau of Labor Statistics employment in wholesale trade rose with automation; (note: general macro not luxury-specific) [111]

ILO reported that technology adoption is expected to create 12 million new jobs in retail-related sectors by 2030 (forecast) [112]

McKinsey estimated that automation in marketing could save 10–15% of marketing spend (benchmark) [113]

Gartner stated that by 2025, organizations will invest in augmented analytics to accelerate decision-making (forecast) [114]

Bain reported that automating merchandising and pricing can reduce markdowns by 2–5% (benchmark) [115]

McKinsey reported that automation can reduce customer acquisition costs by 10–20% via personalization [116]

Composable automation platforms reported 25–50% faster implementation compared to bespoke solutions (benchmark) [117]

Optimizely (Contentsquare) reported that A/B testing and personalization improves conversion by an average 17% (benchmark) [118]

Gartner estimated that by 2026, 30% of procurement will be automated (RPA + AI) [119]

McKinsey reported that AI can reduce returns by 10–20% using better sizing recommendations (benchmark) [120]

NREL reported that automated warehouse robotics can reduce energy use by 10–15% (benchmark) [121]

Fashion AI use case study: automated image recognition improved product tagging accuracy to 95% (case) [122]

Microsoft case study indicated 40% faster content moderation via automation (case) [123]

Infor reported automation reduced supply chain planning cycle time by 50% (case) [124]

Blue Yonder case study: forecasting improved service levels by 15% (case) [125]

SAS case study: churn prediction improved retention by 10–15% (case) [126]

Qlik reported that automation for data quality reduced data issues by 30% (benchmark) [127]

Tableau (Salesforce) reported 68% of data scientists report improved productivity with automation tools (survey) [128]

PWC reported 52% of retail executives plan to increase investment in AI/automation over next 12 months (survey) [129]

Unilever reported 20% reduction in packaging material waste through automation (not luxury but relevant supply chain automation) [130]

McKinsey reported that AI-based visual merchandising can improve conversion by 10–25% (benchmark) [131]

SnapLogic reported that automation of workflows reduces integration time from months to weeks (benchmark) [132]

MuleSoft (Salesforce) reported API-led automation reduces time-to-deliver by up to 20–50% (benchmark) [133]

UiPath/Automation tool benchmarks: 33% improvement in lead processing time (case) [134]

Dataiku reported 30% faster model iteration with automated ML pipelines (benchmark) [135]

Google Cloud reported that Vertex AI reduces model deployment time by 50% (benchmark) [136]

Amazon reported that automated compliance checks can reduce audit prep time by 60% (benchmark) [137]

ServiceNow reported 2x faster incident resolution after automating workflows (benchmark) [138]

Gartner reported that by 2024, 25% of enterprises will use AI for supply chain planning and optimization (forecast) [139]

Adobe reported that 67% of marketers use marketing automation tools to manage campaigns (survey) [140]

Shopify reported that merchants can automate promotions using Shopify Flow, with triggers such as restock and purchase behavior (feature count) [141]

IBM reported a 30% reduction in manual data entry with automation tools (case) [142]

UiPath reported a 40% improvement in invoice processing cycle time with automation (case) [143]

Blue Prism reported reducing customer onboarding time by 50% (case) [144]

KPMG reported that RPA deployments typically automate 30% of tasks in first 6 months (benchmark) [145]

UiPath reported that attended automation can improve productivity by 20–25% for knowledge workers (benchmark) [146]

Automation Anywhere reported that unattended automation can handle 1000+ processes per bot (benchmark) [147]

ServiceNow reported that automated workflows can reduce average resolution time by 20–40% (benchmark) [148]

Deloitte reported that 60% of organizations use some form of automated data pipelines (survey) [149]

IBM reported automated data quality tools reduce errors by 50% (benchmark) [150]

Gartner reported that by 2023, 40% of organizations will use AI for forecasting demand (forecast) [151]

SAP reported that machine learning in supply chain can reduce inventory by 15% (benchmark) [152]

Oracle reported that AI-based inventory optimization can reduce stockouts by up to 20% (benchmark) [153]

Blue Yonder reported that optimization reduces fulfillment cost by up to 10% (benchmark) [154]

Zebra Technologies reported that mobile scanning and automation can increase cycle count accuracy to 99% (benchmark) [155]

NIST reported that using automation in manufacturing reduces variation by up to 30% (benchmark) [156]

McKinsey reported that AI-assisted design can reduce design iteration cycles by 20–50% (benchmark) [157]

Industry report: generative AI adoption in design could reduce content production time by 30% (benchmark) [158]

IBM reported that AI in fashion can improve personalization and increase revenue per visitor by 10–15% (case) [159]

Salesforce reported that 75% of marketers use marketing automation for personalization (survey) [160]

Kantar reported that AI-driven recommendations improve purchase likelihood by 20% (study) [161]

Similarweb reported that e-commerce conversion rates increased with personalization/automation by 0.5–1.5 points (benchmark) [162]

Adobe Experience Cloud reported that personalization can lift average order value by 10% (benchmark) [163]

Capgemini reported that 55% of retailers use advanced analytics for demand forecasting (survey) [164]

Gartner reported that 30% of retail companies have deployed AI/ML in at least one area (survey) [165]

McKinsey reported that automated photo tagging via computer vision increases catalog productivity by 30–60% (benchmark) [166]

BASF reported that digital traceability can reduce waste by 10–20% (automation/digitalization benchmark) [167]

WEF reported that 35% of organizations are using AI to optimize logistics (survey) [168]

Gartner reported that by 2024, AI-enabled personalization will deliver measurable lift for 50% of retailers (forecast) [169]

McKinsey reported that automated returns management can reduce reverse logistics costs by 15% (benchmark) [170]

Optimizely reported that personalization strategies typically yield 5–15% lift in conversion (benchmark) [171]

ThreatMetrix (LexisNexis) reported that account takeover attacks increased 28% in 2023 (risk stat) [172]

Mastercard reported that dynamic authentication can reduce fraud by 30% (benchmark) [173]

Visa reported that tokenized payments reduce fraud risk; (stat) [174]

McKinsey reported that automated content generation can reduce marketing content production time by 40% (benchmark) [175]

IDC reported that 40% of retail businesses will adopt AI for customer service by 2025 (forecast) [176]

Gartner reported that by 2026, 80% of customer service organizations will use AI-assisted agents (forecast) [177]

McKinsey reported that automated SKU rationalization can reduce SKUs by 10–20% while increasing availability (benchmark) [178]

Gartner reported that by 2024, 60% of supply chain organizations will use AI-driven planning tools (forecast) [179]

Capgemini reported that 48% of executives expect to automate customer service interactions within 12 months (survey) [180]

MuleSoft reported that companies using API-led connectivity can reduce integration costs by 30% (benchmark) [181]

Informatica reported that automated data governance reduces compliance effort by 25% (benchmark) [182]

WorkFusion reported that RPA can reduce document processing time by 60% (benchmark) [183]

ABBYY reported that intelligent document processing (IDP) can reduce processing time by 70% (benchmark) [184]

UiPath reported that automation can reduce invoice processing cost by 30–50% (benchmark) [185]

Automation Anywhere reported that claims processing automation can reduce cycle time by 60% (benchmark) [186]

ABB Robotics reported that robot-assisted sorting can improve throughput by 20–30% (benchmark) [187]

Fanuc reported that factory automation improves output by 30% (benchmark) [188]

KUKA reported that industrial automation can reduce scrap by 20% (benchmark) [189]

Schneider Electric reported that energy optimization with automation can cut energy usage by 10–25% (benchmark) [190]

Siemens reported that industrial automation can reduce maintenance costs by 25% (benchmark) [191]

NIST reported that predictive maintenance can reduce unplanned downtime by 30% (benchmark) [192]

McKinsey reported that predictive maintenance can reduce maintenance costs by 10–40% (benchmark) [193]

Schneider Electric reported that asset performance management can improve OEE by up to 5–20 percentage points (benchmark) [194]

Gartner predicted that by 2025, 70% of customer-facing interactions will be augmented by AI [195]

McKinsey reported that AI-enabled chat can reduce call center costs by 30% (benchmark) [196]

Salesforce reported that 69% of customers expect brands to use data to tailor recommendations (survey) [197]

Adobe reported that 80% of companies believe their data strategies will significantly affect their ability to compete (survey) [198]

Gartner reported that by 2024, 40% of customer service operations will incorporate AI for summarization and knowledge retrieval (forecast) [199]

PwC reported that 32% of CEOs believe AI will be a major driver of growth (survey) [200]

Deloitte reported that 61% of executives expect AI to transform operations in the next 3 years (survey) [201]

Gartner reported that by 2025, 20% of new software will be replaced by AI-native solutions (forecast) [202]

McKinsey reported that automation can reduce invoice exceptions by 50% (benchmark) [203]

SAP reported that machine learning can reduce forecasting error by 15–25% (benchmark) [204]

IBM reported that AI reduces fraud and losses by 20–30% (benchmark) [205]

KPMG reported that OCR/IDP adoption can reduce document processing cost by 30–70% (benchmark) [206]

ABBYY reported intelligent document processing can improve first-pass yield by 20–50% (benchmark) [207]

WorkFusion reported that RPA can reduce lead time by 60% in back-office operations (benchmark) [208]

UiPath reported that companies achieve 2–3x faster onboarding with automation (case) [209]

Automation Anywhere reported that 50% of tasks in finance can be automated (benchmark) [210]

Blue Prism reported that automation can reduce compliance time by 25% (benchmark) [211]

ServiceNow reported that automated workflow reduces ticket resolution time by 20% (benchmark) [212]

NIST reported that computer vision quality control can reduce defect rates by 10–30% (benchmark) [213]

Gartner predicted that by 2025, chatbots will become the primary channel for customer support in many industries [214]