The global AI in retail market is projected to grow at 29.8% CAGR from 2024 to 2030
AI In Retail Training Statistics
Comprehensive AI in retail statistics showing market growth, consumer behavior, and training implications for 2024-2025.
Key insights
the numbers most people quoteof leading retail organizations prioritize upskilling their workforce in AI-related skills
Only 12% of retail organizations have comprehensive AI literacy programs for their entire workforce
- 55%
of retail leaders state that employees need new skills due to AI adoption
- 67%
of consumers expect personalization from retailers, driving AI training needs
- 70%
of retail executives believe AI will play a critical role in supply chain management
- 85%
of retail digital transformation initiatives involve AI components
- 40%
of retail tasks can be augmented or automated by AI, requiring workforce retraining
Practice the conversation before it counts.
Try itWhat we read into it
- 54%
of consumers are willing to share data for personalized offers
- 67%
of consumers expect personalization from retailers
- 73%
of consumers say good customer experience is key in influencing their purchasing decisions
- 60%
of consumers are interested in using AI for product recommendations
- 49%
of consumers are open to using virtual try-on technology
- 66%
of consumers report interacting with a company's AI-powered chatbot at least once
- 38%
of consumers believe AI will improve their shopping experience significantly
Customers who engage with AI-powered chatbots for service spend 10-15% more on average
What we read into it
- 70%
of retail executives believe AI will play a critical role in their supply chain management within the next three years
- 68%
of retail supply chain leaders plan to invest in AI-powered demand forecasting solutions by 2025
Retailers using AI for inventory optimization report a 10-15% reduction in stockouts and overstock situations
The average ROI for AI in supply chain management for retailers is estimated to be 15-20% within the first year
- 45%
of retail businesses are using AI to automate specific back-office tasks like invoice processing or data entry
AI-powered solutions can reduce retail returns by up to 20% through better fit recommendations and fraud detection
- 60%
of retail business leaders expect AI to significantly improve their pricing strategies
Retailers implementing AI for fraud detection see a 25% reduction in fraudulent transactions
What we read into it
- 85%
of retail digital transformation initiatives involve AI components
- 62%
of retailers are increasing their investment in AI-powered e-commerce platforms
By 2025, 30% of sales interactions will be augmented by AI, up from less than 5% in 2020
The adoption rate of AI in retail across all functions is expected to reach 75% by 2025
Retailers see an average 20% uplift in key e-commerce metrics when deploying AI for product recommendations and search
- 65%
of companies with advanced AI adoption have seen an increase in productivity
- 35%
of retail IT budgets are now allocated to AI and machine learning initiatives
The share of AI-powered applications in retail software is projected to grow by 40% between 2023 and 2027
What we read into it
The global AI in retail market size was valued at USD 6.57 billion in 2023
The global AI in retail market is projected to grow at a Compound Annual Growth Rate (CAGR) of 29.8% from 2024 to 2030
The AI in retail market is expected to reach USD 38.30 billion by 2030
North America held the largest market share of over 35% in the AI in retail market in 2023
The Generative AI in retail market is expected to grow at a CAGR of over 40% from 2023 to 2030
AI in customer experience applications accounted for the largest revenue share in 2023 within the retail AI market
The AI in retail market for predictive analytics is projected to grow at a CAGR of 32% through 2028
Retailers' average AI budget is expected to increase by 25% in 2024
What we read into it
- 70%
of retail marketers believe AI will revolutionize their industry in the next 3-5 years
Retailers using AI for marketing personalization see a 20% average increase in customer engagement
AI-driven dynamic creative optimization can increase ad campaign ROI by 10-30% for retailers
- 65%
of retail marketers are currently using or piloting AI for customer segmentation
Brands leveraging generative AI for content creation report reducing content production costs by up to 40%
AI-powered predictive analytics for customer churn reduces customer acquisition costs by 15-20% for retailers
Email campaigns optimized by AI show a 4x higher open rate and 2x higher click-through rate compared to traditional campaigns
- 55%
of retail organizations are investing in AI to enhance their search engine optimization (SEO) and search engine marketing (SEM) efforts
Industry Insights
8 of 20 statisticsWhat we read into it
Grocery retailers using AI for perishable inventory management reduce waste by 20-30%
Fashion retailers adopting AI for trend forecasting improve collection accuracy by 10-15%
- 70%
of luxury brands are exploring or implementing AI for personalized customer experiences and supply chain transparency
Hardware retailers using AI-powered visual search for product identification experience a 25% faster customer service resolution
Specialty apparel retailers leveraging AI for sizing recommendations see a 5% decrease in returns
- 60%
of pharmaceutical retailers are using AI for patient adherence programs and inventory management of sensitive items
Automotive aftermarket retailers using AI for predictive maintenance recommendations increase service revenue by 8-12%
Home decor retailers using AI for 3D room visualization or augmented reality tools report a 15% increase in conversion rates
Cite this report
Lindner, J. (2026). AI In Retail Training Statistics. Careertrainer. https://careertrainer.ai/en/reports/ai-in-retail-training-statistics/
Sources
last verified 26 Apr 2026- statista.com11 stats
- grandviewresearch.com10 stats
- pwc.com9 stats
- www2.deloitte.com9 stats
- mckinsey.com9 stats
- ibm.com8 stats
- gartner.com8 stats
- accenture.com6 stats
- forrester.com5 stats
- bcg.com4 stats
- salesforce.com3 stats
- capgemini.com3 stats
- blog.google2 stats
- juniperresearch.com2 stats
- adobe.com2 stats
- hbr.org1 stats
- edelman.com1 stats
- microsoft.com1 stats
- zendesk.com1 stats
- epsilon.com1 stats
- nrf.com1 stats
- deloitte.com1 stats
- blueyonder.com1 stats
- joshbersin.com1 stats
- ecr-community.org1 stats
- bain.com1 stats
- www.idc.com1 stats
- shopify.com1 stats
- weforum.org1 stats
- oracle.com1 stats
- marketsandmarkets.com1 stats
- alliedmarketresearch.com1 stats
- abiresearch.com1 stats
- marketresearchfuture.com1 stats
- emarketer.com1 stats
- sprinklr.com1 stats
- bondbrandloyalty.com1 stats
- learning.linkedin.com1 stats
- drift.com1 stats
- vidyard.com1 stats
- nucleusresearch.com1 stats
- gfk.com1 stats
- nacds.org1 stats
- investors.nike.com1 stats
How we collect and check these numbers
Each figure is taken from a published source with a reachable URL. We keep the original wording, group numbers by theme, and mark one counter-intuitive finding per section. Counts and sources on this page are derived from the cited rows — they are not marketing totals.