Key Takeaways
- Retail security budgets increased by an average of 9% in 2023
- 65% of retailers are not fully compliant with the latest version of PCI DSS 4.0
- The average retailer uses 75 different security tools across their infrastructure
- 37% of retail data breaches involve the use of stolen credentials
- The average cost of a data breach in the retail industry is $3.28 million
- It takes an average of 207 days for a retailer to identify a data breach
- Retailers faced 115 billion credential stuffing attacks in 2022-2023
- 30% of all global bot traffic is directed at the retail industry
- Account Takeover (ATO) attacks against retailers increased by 110% year-over-year
- Phishing accounts for 36% of all cyberattacks directed at the retail sector
- 1 in every 95 emails received by retail employees is a phishing attempt
- 86% of retail organizations were targeted by at least one successful phishing attack in 2022
- 77% of retail organizations were hit by ransomware in 2022, up from 44% in 2021
- The average ransom payment in the retail sector is $438,302
- Nearly 50% of retail cyberattacks involve the use of malware to exfiltrate customer data
Retail cybersecurity gaps remain wide as compliance, monitoring, and phishing risks drive rising costs and breaches.
Compliance & Infrastructure
Compliance & Infrastructure Interpretation
Data Breaches & Privacy
Data Breaches & Privacy Interpretation
E-commerce & Bot Attacks
E-commerce & Bot Attacks Interpretation
Ransomware & Malware
Ransomware & Malware Interpretation
How We Rate Confidence
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.
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
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
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
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.
Diana Reeves. (2026, February 13). Retail Cybersecurity Statistics. Gitnux. https://gitnux.org/retail-cybersecurity-statistics
Diana Reeves. "Retail Cybersecurity Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/retail-cybersecurity-statistics.
Diana Reeves. 2026. "Retail Cybersecurity Statistics." Gitnux. https://gitnux.org/retail-cybersecurity-statistics.
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