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Top 12 Data Loss Prevention or DLP Statistics in 2024

Updated on Apr 30
5 min read
Written by
Shehmir Javaid
Shehmir Javaid
Shehmir Javaid
Industry Research Analyst
Shehmir Javaid in an industry & research research analyst at AIMultiple, specializing in integrating emerging technologies into various business functions, particularly supply chain and logistics operations.

He holds a BA and an MSc from Cardiff University, UK and has over 2 years of experience as a research analyst in B2B tech.
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Top 12 Data Loss Prevention or DLP Statistics in 2024Top 12 Data Loss Prevention or DLP Statistics in 2024

Data from network security statistics reveals that the cost of an average data breach in 2023 reached a record-breaking number of approximately $4 million. To safeguard their data, businesses are leveraging solutions such as data loss prevention (DLP) software, device control tools, or security risk management software

Learning the facts about DLP can help security leaders correctly understand its impact and prioritize this topic.

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: Statist2

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 2023, by region

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

Source: Statist5

4. Habits of remotely working employees: In 2020, 49 percent of respondents from the United States report using personal devices, such as laptops, tablets, or smartphones to access company applications and networks. This kind of behaviour makes companies more vulnerable to cyberthreats 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 from 2019 to 2025

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

FAQs for DLP statistics

  1. What does DLP mean?

    DLP stands for Data Loss Prevention. It is a strategy and set of tools used to ensure that sensitive data, including personally identifiable information and financial information, is not lost, misused, or accessed by unauthorized users. DLP helps organizations protect critical data by monitoring, detecting, and blocking data leaks and leaks through control of data access and data movement within corporate networks. This protection extends to preventing accidental data loss, securing data against insider threats and external threats, and ensuring compliance with regulatory standards.

  2. What is data loss prevention analytics?

    DLP (Data Loss Prevention) Analytics involves analyzing and managing data to prevent leaks, breaches, and unauthorized access. This practice focuses on securing data, particularly sensitive data, by monitoring data access and movement across a company’s network and storage solutions. DLP solutions are essential for protecting data such as personally identifiable information and financial records from insider threats, external threats, and accidental losses due to human error or computer viruses. Key aspects of data loss prevention include data visibility, data protection, and implementing strategies to safeguard business-critical data, ensuring compliance with regulatory standards, and minimizing data loss risks.

  3. What is a DLP endpoint?

    DLP endpoint refers to the component of a data loss prevention strategy that focuses on securing sensitive data at endpoint devices such as computers, mobile devices, and servers within a private computer network. It involves implementing data loss prevention policies and tools to monitor, control, and protect data access and movement directly on these endpoints. 

  4. What is DLP risk assessment?

    DLP risk assessment is a vital part of any effective cybersecurity strategy, as it identifies and evaluates potential risks related to the management, access, and movement of sensitive data within an organization. This assessment involves a thorough analysis of data storage, how the data is accessed, and how it is transmitted across both physical and digital platforms, pinpointing vulnerabilities that could lead to data leaks, unauthorized access, or data leaks. Utilizing data loss prevention tools to monitor data streams and filter data files enables organizations to safeguard sensitive information, such as personally identifiable information and intellectual property, against insider threats, external threats, and accidental data loss.
    A robust DLP strategy emphasizes data protection by implementing comprehensive data loss prevention measures and crafting controls specifically tailored to the organization’s unique risk profile. This includes to extend data identification and encompass both structured and unstructured data and enhancing data visibility across all endpoints, including cloud-based systems. DLP solutions play a crucial role in enforcing compliance regulations and adhering to corporate policies by managing data access and data movement through the use of technologies such as multi-factor authentication and robust access control systems. Overall, DLP risk assessment is integral to detecting potential security incidents early, effectively preventing data leaks, and securing business-critical and proprietary data.

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Cem Dilmegani
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Shehmir Javaid
Industry Research Analyst
Shehmir Javaid in an industry & research research analyst at AIMultiple, specializing in integrating emerging technologies into various business functions, particularly supply chain and logistics operations. He holds a BA and an MSc from Cardiff University, UK and has over 2 years of experience as a research analyst in B2B tech.

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