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Top 15 DLP Statistics

Cem Dilmegani
Cem Dilmegani
updated on Jun 5, 2025

Data from network security statistics reveals that the cost of an average data breach in the last year reached a record-breaking $4 million. To safeguard their data, businesses are leveraging solutions such as data loss prevention (DLP) software.

Understanding the impact of DLP through data-backed insights can empower security leaders to address vulnerabilities and implement effective measures. We collected 15 important statistics on DLP:

State of data security

1. Data breaches impact: In 2023, there were 3,205 reported instances of data compromises in the United States. During the same period, data compromises impacted over 353 million people, encompassing data breaches, leaks, and exposures. Despite these being distinct types of incidents, they share a common outcome: sensitive data is accessed by an unauthorized entity.1

Figure 1. Annual number of data breaches & individuals impacted

A line graphs showing a DLP statistics of the rising number of data breaches in the US from 2005 to 2023

Source: Statista2

2. Data breach causes: In 2022, a global survey of IT and cybersecurity experts from various organizations revealed that the primary mistake leading to cyber incidents was employees’ weak password practices. The second most cited issue, according to 78 percent of the participants, was the improper use of personal email.3

3. Company view of security breaches: In 2023, over three-quarters of respondents from the Americas indicated that their company viewed security breaches and data leaks as a significant threat. This proportion was somewhat smaller for respondents from the Asia-Pacific and EMEA regions.4

Figure 2. Threat of data leaks to global organizations, by region

A dlp statistics about the threat of security breaches and data leaks globally in 2023

Source: Statista5

4. Habits of remotely working employees: In 2020, 49 percent of respondents from the United States reported using personal devices, such as laptops, tablets, or smartphones, to access company applications and networks. This kind of behaviour makes companies more vulnerable to cyber threats, as inadequate security habits, such as recycling passwords, can increase an enterprise’s risk of a breach.​6

5. Ransomware attack downtime: Ransomware attacks result in an average of 16.2 days of downtime for affected businesses, emphasizing the disruptive nature of such attacks on operational continuity.7

DLP market

6. DLP market projections: The DLP (Data Loss Prevention) market is anticipated to expand quickly in the near future, partly due to growing public awareness of data privacy and security. Revenue in the DLP market is expected to rise from $1.24 billion in 2019 to $3.5 billion by 2025.8

Figure 3. DLP market revenue forecast worldwide

A bar graph showing some dlp statistics of the global DLP market revenue projections for 2019 to 2025.

Source: Statista9

Data protection technology

7. Data replication & protection: The data replication and protection software market is forecasted to reach around $14 billion in 2027, up from nearly $12 billion in 2022.10

8. Security application in IT: A 2021 worldwide survey revealed that IT professionals across different organizations do not significantly differentiate in the protection frequency of “high priority” and “normal” applications. Roughly 20% of respondents continuously apply security processes such as backup and replication to high-priority applications, while only 12% do the same for other applications.11

Figure 4. Frequency of data loss protection methods worldwide

DLP statistics about friquency of IT profesionals replicating high-priority and low-priority data.

Source: Statista12

9. Cloud-sensitive data protection: According to a SANS 2022 cloud security survey, the following are the top implementations of security controls for cloud-sensitive data protection.13

Figure 5. Security controls for cloud-sensitive data protection

DLP statistics for implementations of security controls  for cloud-senstive data protection. VPN is at the top.

Source: Statista14

Data security projections

10. Endpoint as a major threat vector: In 2024, it’s anticipated that the endpoint will become the primary threat vector for data loss, with more than 70% of data loss incidents originating from endpoints, shifting focus from cloud security back to endpoint security.15

11. Time to identify and contain breaches: In 2023, it took an average of 204 days to detect data breaches, a slight improvement over 2022’s 207 days. However, containment times increased slightly from 70 days in 2022 to 73 days in 2023.16

Figure 6. Average time to detect and contain data breaches

DLP statistics on average time to detect and contain data breaches

12. Information security spending worldwide: Global expenditure on information security has been on the rise from 2017 through 2023, climbing from just below $100 billion in 2017 to nearly $200 billion in 2023.

The majority of this spending has been focused on security services, infrastructure protection, and network security equipment. By 2024, it is anticipated that spending on security services will approach $90 billion.17

Figure 7. Spending on global information security

DLP statistics on spending on global information security

Source: Gartner, Statista18

Key DLP insights

13. Insider threat dynamics: Insider threats account for nearly 35% of data breaches, either through malicious intent or inadvertent errors. These incidents often involve employees unintentionally sharing sensitive information or failing to adhere to security protocols.

14. Role of AI in DLP: AI-powered DLP solutions are gaining traction for their ability to detect anomalies, classify sensitive data, and provide predictive analytics for threat mitigation. Businesses implementing these tools report a 35% reduction in data breach costs on average.

15. Rising cost of non-compliance: Failure to implement adequate data protection measures can lead to significant financial penalties. In 2023, global regulatory fines for data breaches and non-compliance with data protection laws surpassed $4 billion, with GDPR violations alone accounting for over $1.5 billion.

Future of DLP solutions

  • Adoption of cloud-native DLP tools:
    By 2025, 90% of organizations are expected to rely on cloud infrastructure, making DLP tools optimized for cloud environments a pivotal role in securing hybrid workforces and distributed data systems.
  • Expansion of regulatory frameworks:
    As governments implement stringent data protection laws such as GDPR and CCPA, organizations must ensure compliance through detailed data classification and governance measures. Non-compliance penalties, which exceeded $1.4 billion globally in 2023, underscore the financial implications of inadequate DLP strategies.
  • Comprehensive endpoint protection:
    In response to endpoint vulnerabilities, organizations are adopting unified endpoint management (UEM) systems that integrate DLP, device management, and user activity monitoring into a cohesive framework.
  • DLP automation trends:
    Automation is set to revolutionize DLP, enabling real-time responses to threats and reducing the manual effort involved in data classification and monitoring.
  • Behavioral analytics integration:
    Behavioral analytics is emerging as a key feature in advanced DLP solutions, helping organizations identify unusual patterns indicative of potential insider threats or compromised credentials.

Why are DLP solutions critical?

As data breaches and cyber threats continue to evolve, organizations must prioritize robust DLP solutions. These tools help mitigate risk, safeguard sensitive data, and ensure compliance with regulatory standards. With the DLP market set for significant growth, businesses are recognizing the necessity of investing in advanced data protection measures.

FAQs for DLP statistics

Further reading

Principal Analyst
Cem Dilmegani
Cem Dilmegani
Principal Analyst
Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 55% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE and NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and resources that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
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