Key Takeaways
- Healthcare sector saw 540 breaches costing over $6 billion total in 2023 per HHS/ITRC.
- US healthcare exposed 133 million records in 2023 with average cost $10.93M per IBM.
- Financial services had 20% of all breaches in 2023 per Verizon DBIR.
- In 2023, there were 8,235 confirmed data breaches worldwide according to the Identity Theft Resource Center.
- The US experienced 3,205 data breaches in 2023, representing 39% of global totals per ITRC.
- Verizon's 2024 DBIR reported 16,695 security incidents analyzed, with 5,199 confirmed breaches.
- Verizon 2024 DBIR: 68% of breaches involved human element like error or social engineering.
- Stolen credentials caused 49% of web app breaches per Verizon 2024.
- Phishing responsible for 16% of breaches per Verizon DBIR 2024.
- IBM's 2023 Cost of a Data Breach Report states the global average cost reached $4.45 million.
- US organizations faced an average breach cost of $9.44 million in 2023 per IBM.
- Healthcare industry average breach cost was $10.93 million in 2023 per IBM.
- The 2023 MOVEit incident exposed 62 million records across multiple breaches.
- Yahoo's 2013-2014 breaches exposed 3 billion user accounts.
- Equifax 2017 breach compromised 147 million records.
In 2023, breaches hit record highs, costing billions and exposing billions of records across every major sector.
Affected Sectors
Affected Sectors Interpretation
Breach Incidents
Breach Incidents Interpretation
Breach Vectors
Breach Vectors Interpretation
Economic Impact
Economic Impact Interpretation
Exposed Records
Exposed Records 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.
Rachel Svensson. (2026, February 13). Data Breaches Statistics. Gitnux. https://gitnux.org/data-breaches-statistics
Rachel Svensson. "Data Breaches Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/data-breaches-statistics.
Rachel Svensson. 2026. "Data Breaches Statistics." Gitnux. https://gitnux.org/data-breaches-statistics.
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