Every figure on this page is sourced from primary research — Verizon DBIR, IBM Cost of a Data Breach, Gartner, IDC, Statista, and verified vendor disclosures. Use them in board decks, investment cases, and security strategy documents with confidence.
Volume, frequency, and disclosure trends — the headline numbers boards quote.
Recorded by the Identity Theft Resource Center (ITRC), this represents a 78% increase over the 2020 baseline. The actual figure including unreported and undisclosed incidents is estimated to be 3-5x higher.
Average exposure per breach exceeded 538,000 records — driven by several mega-breaches at cloud service providers, healthcare networks, and identity aggregators.
Most breaches are not the work of sophisticated attackers — they involve human error, misconfigured systems, falling for social engineering, or unauthorised but non-malicious data sharing. DLP controls address exactly this category.
204 days to identify, 73 days to contain. Breaches identified in under 200 days cost an average $1.02 million less than those exceeding 200 days.
The most common attack vector. Credential-based attacks bypass perimeter defences entirely, making data-level controls (DLP, encryption, access governance) the last line of defence.
Growth has accelerated each year since 2020 as disclosure regulations expand and reporting infrastructure matures. The trend is unlikely to reverse before 2027.
What each incident actually costs — direct, indirect, and reputational.
10% increase over 2023 — the largest single-year jump in the report's history. Cost includes detection, response, notification, lost business, regulatory fines, and post-breach remediation.
14th consecutive year as the most expensive sector. Drivers: regulatory penalties (HIPAA), notification costs (large patient populations), longer breach lifecycles, and high-value PHI on resale markets.
Second most expensive sector. Stricter regulatory oversight, higher per-customer notification cost, and direct fraud exposure all amplify per-breach impact.
Organisations using extensive AI in their security operations contained breaches 108 days faster and at $1.76M lower cost than those without AI. Strong direct argument for AI-augmented DLP investment.
Up from $148 in 2018. Healthcare records remain highest at $408 per record; education sits at $300+. The figure compounds significantly for breaches exposing millions of records.
Ransomware-driven breaches cost $5.13M on average vs $4.88M baseline. Even when ransom is not paid, the operational disruption and recovery cost exceeds traditional breach response.
The fastest-growing category of data exposure — and the least monitored.
Cyberhaven's analysis of 1.6 million workers found regular leakage of source code, customer data, financial records, and strategic documents into AI tools. This single channel now exceeds traditional email-based data loss in many enterprises.
As AI tools expand into operations, finance, legal, and customer service workflows, the volume of regulated data being processed by third-party AI services has more than doubled in 18 months.
Most organisations rely on written policies and trust — not technical controls — to govern AI usage. The gap between policy and enforcement is the single largest unaddressed data protection risk in 2026.
Self-reported figure — the actual percentage is likely higher because most leakage is unintentional. Engineers, marketers, and HR staff lead the categories.
Up from $1.4B in 2024 — a 10x growth window. AI-specific DLP, prompt injection defence, and model output monitoring are the fastest-growing subsegments.
Vendor revenue, investment, and category-level growth metrics.
Includes endpoint DLP, network DLP, cloud DLP, and integrated platform offerings. Excludes adjacent categories like CASB, encryption, and IAM that increasingly bundle DLP capabilities.
22.3% CAGR — among the highest growth rates in the broader cybersecurity sector. Cloud-native DLP and AI data protection are the fastest-growing subsegments.
Up 38% over 2024. Cloud-native and AI-focused vendors attracted the majority of new funding, including Series B/C rounds at $200M+ valuations.
Marks the inflection point — cloud-native DLP overtook on-premises deployments for the first time. Drivers: SaaS-first IT architecture, faster deployment, and lower TCO.
Every statistic on this page formatted as citation-ready slides for your board presentation, investment case, or compliance documentation. Includes the additional 75+ statistics across industry verticals, compliance, insider threats, and cloud DLP adoption.
Every statistic includes its primary source. We do not republish numbers without verifying the underlying report or dataset. Vendor-published statistics are clearly labelled and only included where independently verifiable. Where multiple sources publish similar figures, we prioritise primary research over secondary aggregation.
Statistics reviewed and updated monthly. Disputed figures are removed pending verification. To submit a correction or additional source, email research@datalosspreventionreport.com.