Key Takeaways
- Phishing remains the top delivery method for scams accounting for 22% of reported incidents
- Tech support scams saw a 12% increase in reported incidents over the previous year
- Social media was the starting point for 25% of all fraud reports involving a loss
- Scammers use AI to clone voices in 25% of modern imposter scams
- Deepfake video scams increased 10-fold in the financial sector in 2023
- 70% of crypto-related scams are conducted through Telegram bots
- Consumers globally lost an estimated $1.02 trillion to scams in 2023
- The average loss per victim of an online scam is approximately $3,504
- Investment fraud was the costliest scam type in 2023 with losses totaling $4.57 billion
- The IC3 received 880,418 complaints in 2023, a 10% increase from 2022
- 44% of scam victims did not report the crime to anyone
- Over 75% of organizations worldwide experienced a phishing attack in 2023
- Approximately 1 in 4 people reported losing money to a scam in 2023
- Adults aged 60 and older reported the highest total losses at $3.4 billion
- Younger adults (20-29) report losing money to scams more frequently than older adults
Phishing and social engineering are escalating fast, with major losses driven by urgent, mobile, and AI enabled scams.
Related reading
01 · Category
Attack Vectors30 stats
Attack Vectors Interpretation
02 · Category
Emerging Technologies23 stats
Emerging Technologies Interpretation
03 · Category
Financial Impact30 stats
Financial Impact Interpretation
More related reading
04 · Category
Frequency and Volume30 stats
Frequency and Volume Interpretation
05 · Category
Victim Demographics30 stats
Victim Demographics Interpretation
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.
Marie Larsen. (2026, February 13). Online Scam Statistics. Gitnux. https://gitnux.org/online-scam-statistics
Marie Larsen. "Online Scam Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/online-scam-statistics.
Marie Larsen. 2026. "Online Scam Statistics." Gitnux. https://gitnux.org/online-scam-statistics.
Sources & references
27 datasets cited across this report · attribution is report-level

