Key Takeaways
- The 2023 MOVEit breach exposed data of 62 million individuals, one of the largest supply chain attacks
- 83% of organizations experienced more than one data breach in 2023, per IBM Cost of a Data Breach Report 2023
- Global data breach notifications hit 8,432 in 2023, exposing 4.35 billion records
- Globally, cybercrime costs are projected to reach $10.5 trillion annually by 2025, up from $3 trillion in 2015
- U.S. losses from cybercrime complaints totaled $12.5 billion in 2023, a 22% increase from 2022
- Investment fraud topped cyber losses at $4.7 billion in 2023 per FBI IC3
- In 2023, the FBI's Internet Crime Complaint Center (IC3) received 880,418 cybercrime complaints representing a 10% increase from 2022
- Cybercrime complaints increased by 22.9% globally in 2023, with 88 million incidents reported
- Cyber attacks occur every 39 seconds worldwide, equating to 2,244 per day
- Phishing attacks rose by 58% in 2023, accounting for 36% of all data breaches according to Verizon's 2024 DBIR
- There were over 2.6 million phishing sites detected in Q4 2023 alone by APWG
- Business Email Compromise (BEC) scams caused $2.9 billion in U.S. losses in 2023
- In 2023, ransomware attacks impacted 71% of organizations surveyed by Sophos, with average recovery costs at $1.82 million per incident
- Ransomware payments hit $1.1 billion in 2023, per Chainalysis, with a 7.3% decrease from 2022 peak
- Average ransomware recovery cost reached $4.88 million in 2024 for large organizations, per Sophos 2024 report
In 2023, massive breaches and rapid ransomware spread exposed billions of records, reflecting accelerating cybercrime costs worldwide.
Related reading
Data Breaches
Data Breaches Interpretation
More related reading
Financial Losses
Financial Losses Interpretation
More related reading
Incident Frequency
Incident Frequency Interpretation
More related reading
Phishing and BEC
Phishing and BEC Interpretation
More related reading
Ransomware
Ransomware 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.
Megan Gallagher. (2026, February 13). Cybercrime Statistics. Gitnux. https://gitnux.org/cybercrime-statistics
Megan Gallagher. "Cybercrime Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/cybercrime-statistics.
Megan Gallagher. 2026. "Cybercrime Statistics." Gitnux. https://gitnux.org/cybercrime-statistics.
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