Key Takeaways
- 42% organizations have formal fraud risk assessments per PwC 2022
- AI detects 30% more anomalies per Deloitte 2023
- 55% use data analytics for fraud detection per EY
- The Association of Certified Fraud Examiners' 2022 Report to the Nations found that organizations suffer a median loss of $120,000 per case from asset misappropriation schemes
- Globally, financial losses due to fraud exceeded $4.7 trillion in 2021 according to PwC's Global Economic Crime Survey
- In the US, businesses lost an estimated $50 billion annually to employee theft and fraud as per the US Chamber of Commerce
- US has 42% of global fraud cases per ACFE 2022
- Sub-Saharan Africa highest median loss $210K per ACFE 2022
- Asia-Pacific 20% of global schemes per ACFE
- 47% of organizations experienced fraud in past 24 months per PwC 2022
- 5% of global revenue lost to fraud annually per ACFE
- 42% of frauds detected by tips per ACFE 2022
- Billing fraud is the most common scheme at 30% of cases per ACFE 2022
- Asset misappropriation schemes comprise 86% of all detected frauds per ACFE
- Corruption cases make up 11% of occupational frauds per ACFE 2022
Fraud costs businesses trillions annually, and better detection and reporting can cut losses significantly.
Related reading
01 · Category
Detection And Investigation24 stats
Detection And Investigation Interpretation
02 · Category
Financial Impact30 stats
Financial Impact Interpretation
03 · Category
Geographic Distribution21 stats
Geographic Distribution Interpretation
More related reading
04 · Category
Prevalence27 stats
Prevalence Interpretation
05 · Category
Types Of Fraud28 stats
Types Of Fraud Interpretation
Fraud risk is rising—and mitigation is moving faster
Fraud is increasingly detected and addressed with analytics, AI, and continuous monitoring.
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.
Karl Becker. (2026, February 13). Business Fraud Statistics. Gitnux. https://gitnux.org/business-fraud-statistics
Karl Becker. "Business Fraud Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/business-fraud-statistics.
Karl Becker. 2026. "Business Fraud Statistics." Gitnux. https://gitnux.org/business-fraud-statistics.
Sources & references
43 datasets cited across this report · attribution is report-level

