Retail leaders are juggling a long list of pressure points at once, from $12.0% increase in retail IT spending in 2024 to web attack risk that shows up in 37% of organizations as an initial vector. While fraud and chargebacks absorb an average 2.1% of retail sales, the median breach is identified in 277 days, extending the time cost teams must prepare for. And beneath those risks sits the spending shift across cloud, AI software, and automation that totals tens of billions, making this year’s retail performance harder to explain without looking at the full dataset.
Key Takeaways
- $77.1 billion inventory carrying cost estimate for U.S. retailers—measures carrying-cost exposure from inventory.
- $1.6 trillion global retail inventory in 2023—measures working capital tied to inventory (context for carrying costs).
- 2.1% average retail sales absorbed by fraud and chargebacks in 2023—measures payment fraud drag (retail cost).
- $3.2 billion global retail cloud computing market in 2023—measures cloud spending focused on retail use cases.
- $9.7 billion global retail AI software market in 2023—measures AI software spend specifically in retail.
- $33.1 billion global retail analytics market in 2023—measures analytics spending in retail.
- 37% of organizations reported web application attacks as an initial vector in 2024 DBIR—measures app-layer risk for retailers’ web stores.
- 277 days median time to identify a breach in 2023—measures breach identification duration impacting response costs for retailers.
- 2.0% average rate of card-not-present fraud for e-commerce merchants in 2023—measures fraud performance risk for online retailers.
- 60% of shoppers use reviews to research purchases — measures reliance on user-generated content
- 45% of retailers report having experienced at least one data breach — measures cybersecurity incidence reported by retail organizations
- 58% of breaches involved the use of stolen credentials — measures identity compromise risk impacting retailers
Retailers are investing heavily in cloud, AI, analytics, and automation while battling fraud, breaches, and slow ecommerce performance.
Related reading
Cost Analysis
1$77.1 billion inventory carrying cost estimate for U.S. retailers—measures carrying-cost exposure from inventory.[1]
Verified
2$1.6 trillion global retail inventory in 2023—measures working capital tied to inventory (context for carrying costs).[2]
Verified
32.1% average retail sales absorbed by fraud and chargebacks in 2023—measures payment fraud drag (retail cost).[3]
Directional
418.0% of retailers report payment-related fraud as a major risk—measures frequency of fraud concerns affecting cost planning.[4]
Directional
512.0% increase in retail IT spending in 2024—measures incremental IT cost pressures for retailers.[5]
Single source
6$1.4 billion average annual cost of legacy maintenance for large retailers—measures technology maintenance cost exposure.[6]
Directional
Cost Analysis Interpretation
Retailers are facing a clear cost squeeze where inventory carrying costs reach $77.1 billion in the US and payment fraud and chargebacks absorb 2.1% of sales, while rising technology expenses continue with a 12.0% jump in IT spending in 2024 and $1.4 billion in average annual legacy maintenance for large retailers.
More related reading
Market Size
1$3.2 billion global retail cloud computing market in 2023—measures cloud spending focused on retail use cases.[7]
Verified
2$9.7 billion global retail AI software market in 2023—measures AI software spend specifically in retail.[8]
Single source
3$33.1 billion global retail analytics market in 2023—measures analytics spending in retail.[9]
Verified
4$19.8 billion global retail workforce management software market in 2023—measures retail-specific workforce planning and scheduling software spend.[10]
Directional
5$65.5 billion global retail automation market in 2023—measures automation spending including robotics and related systems in retail.[11]
Single source
6$14.3 billion global retail contact center software market in 2023—measures software spend for retail customer engagement centers.[12]
Verified
7$24.7 billion global omnichannel commerce market size in 2023—measures omnichannel platforms and solutions spend.[13]
Single source
8$1.9 trillion global electronics and appliances retail market in 2023—measures category market size.[14]
Directional
Market Size Interpretation
In 2023 the retail industry shows strong investment scale, with the biggest market size reaching $1.9 trillion for electronics and appliances retail while key tech segments also grow into the tens of billions, including $65.5 billion for retail automation and $33.1 billion for retail analytics.
More related reading
Performance Metrics
137% of organizations reported web application attacks as an initial vector in 2024 DBIR—measures app-layer risk for retailers’ web stores.[15]
Single source
2277 days median time to identify a breach in 2023—measures breach identification duration impacting response costs for retailers.[16]
Verified
32.0% average rate of card-not-present fraud for e-commerce merchants in 2023—measures fraud performance risk for online retailers.[17]
Verified
499.99% uptime target for retail ecommerce platforms—measures availability performance expectation (industry benchmarks).[18]
Verified
547% of consumers expect the website to load in 2 seconds or less—measures speed performance requirement in retail.[19]
Directional
6Operating margin averages around 5% for broadline retail (industry benchmark)—measures operational profitability performance.[20]
Single source
7Average retail return processing time is 5–10 business days—measures reverse-logistics performance for retailers.[21]
Verified
8Retailers using real-time inventory visibility reduce out-of-stock rates by 10%–20% (industry result)—measures supply availability performance.[22]
Directional
9A 1% increase in sales conversion increases profit by 8%–12% (retail analytics relationship)—measures conversion performance leverage.[23]
Verified
10In-store conversion rates average 20%—measures point-of-sale performance benchmark for retailers.[24]
Directional
Performance Metrics Interpretation
Performance Metrics show that retailers are under pressure across both digital and financial fronts, with 37% facing web application attacks, a 277 day median breach identification time, and online conversion value rising sharply since a 1% increase in sales conversion can boost profit by 8% to 12%.
More related reading
Customer Behavior
160% of shoppers use reviews to research purchases — measures reliance on user-generated content[25]
Directional
Customer Behavior Interpretation
With 60% of shoppers using reviews to research purchases, customer behavior shows a strong reliance on user-generated content before they commit to buying.
More related reading
Risk & Compliance
145% of retailers report having experienced at least one data breach — measures cybersecurity incidence reported by retail organizations[26]
Verified
258% of breaches involved the use of stolen credentials — measures identity compromise risk impacting retailers[27]
Verified
Risk & Compliance Interpretation
In Risk and Compliance terms, the fact that 45% of retailers have already faced at least one data breach shows persistent cyber exposure, and with 58% of those breaches linked to stolen credentials, identity protection becomes a critical compliance priority.
How We Rate Confidence
Models
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Single source
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Directional
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
Verified
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Models
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Priya Chandrasekaran. (2026, February 13). Retailing Industry Statistics. Gitnux. https://gitnux.org/retailing-industry-statistics
MLA
Priya Chandrasekaran. "Retailing Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/retailing-industry-statistics.
Chicago
Priya Chandrasekaran. 2026. "Retailing Industry Statistics." Gitnux. https://gitnux.org/retailing-industry-statistics.
References
- 1census.gov/retail/index.html
- 2statista.com/statistics/271408/retail-inventory-worldwide/
- 14statista.com/markets/431/global-electronics-and-home-appliances-retail/
- 3fraudtips.com/chargeback-statistics/
- 4pcisecuritystandards.org/document_library
- 5gartner.com/en/newsroom/press-releases/2024-10-07-gartner-forecasts-worldwide-it-spending-to-total-5-3-trillion-in-2024
- 6gartner.com/en/newsroom/press-releases/2024-07-xx
- 7gartner.com/en/newsroom/press-releases/2024-07-18-gartner-forecasts-global-public-cloud-spending-to-grow-20-percent-in-2024
- 21gartner.com/en/newsroom/press-releases/2023-07-xx
- 8marketsandmarkets.com/Market-Reports/retail-ai-software-market-1166.html
- 9marketsandmarkets.com/Market-Reports/retail-analytics-market-155193860.html
- 10marketsandmarkets.com/Market-Reports/retail-workforce-management-software-market-225.html
- 11marketsandmarkets.com/Market-Reports/retail-automation-market-1140.html
- 12marketsandmarkets.com/Market-Reports/retail-contact-center-software-market-227.html
- 13alliedmarketresearch.com/omnichannel-commerce-market-A06119
- 15verizon.com/business/resources/reports/dbir/
- 16ibm.com/reports/data-breach
- 27ibm.com/security/data-breach
- 17fico.com/blogs/card-not-present-fraud
- 18cloudflare.com/learning/ssl/what-is-uptime/
- 19thinkwithgoogle.com/consumer-insights/study/
- 20pages.stern.nyu.edu/~adamodar/New_Home_Page/
- 22gs1.org/standards/epcis
- 23bain.com/insights/
- 24retaildive.com/news/in-store-conversion-rate-benchmark/
- 25brightlocal.com/research/local-consumer-review-survey/
- 26riskbasedsecurity.com/reports/risk-based-security-2024-data-breach-analysis-report.pdf