Data Loss Prevention Market, by Solution (Network Data Loss Prevention, Endpoint Data Loss Prevention, and Data Center Data Loss Prevention), by Services (System Integration & Installation, Managed Security Services (MSS), Education & Training, Consulting, and Risk & Threat Assessment), by Deployment Model (On-Premise and Cloud Data Loss Prevention), by Organization Size (Small and Medium Businesses and Large Enterprises), by Application (Cloud Storage, Encryption, Policy, Standards & Procedures, Others), by End User Industry (Banking, Financial Services and Insurance (BFSI), Aerospace, Defense & Intelligence, Government and Public Utilities, Retail, Manufacturing & Logistics, Telecomm and IT, Healthcare and Others), and by Region - Global Industry Insights, Trends, Outlook, and Opportunity Analysis, 2018-2026

  • To Be Published : Sep 2018 |
  • Format : CMI Insight PPT Format CMI Insight PDF Format

Data loss prevention software is used for data protection. It can be utilized to detect potential theft such as Torjan horses that transfer confidential data outside of the network. Moreover, it also provides software solutions to monitor and block confidential data or network traffic or storage condition by providing standard security software solutions, which includes firewalls and intrusion detection systems (IDSs). For instance, firewalls can be utilized to protect confidential information from outsider’s access and to detect the attempt of intrusion by outsider an intrusion detection system is used.

Demand for data loss prevention solutions is increasing significantly due to rising cyber-attacks. For instance, according to Coherent Market Insights analysis in July 2017, cybercrime increased up to 84.1% from 68.8% recorded in June. Cyber Espionage slides to 10.1% from 15.6% of June whereas Cyber Warfare plummets to 4.3% from 9.4%. Banking and financial sector is the major sector in cyber security market. This is used for protecting private information of data or cash related to their customers. This confidential data is highly susceptible to cyber-threats. Increasing utilization of mobile devices and high adoption of Internet by consumers are expected to escalate the overall market growth. For instance, according to Coherent Market Insights analysis, in 2016 over 68% of global population was already using mobile phones. Industries including banking, finance and insurance, government and military, and retail and manufacturing is another factor fueling growth of the market. For instance, according to the Reserve Bank of India (RBI), for the year 2015 – 2016, 16,468 frauds were reported associated with ATM, debit card, credit card, and net banking. In 2014 – 2015 the number of frauds were 13,083 and 9,500 in the year 2013 –14, reported by RBI. The data stored on cloud or on-premises is vulnerable to cyber-attacks by various software such as Trojan horses and viruses, which consequently increases the requirement of data loss prevention solutions.

Data Loss Prevention Market Taxonomy

On the basis of solutions, the global data loss prevention market is segmented into:

  • Network Data Loss Prevention
  • Endpoint Data Loss Prevention
  • Data Center Data Loss Prevention

On the basis of services, the global data loss prevention market is segmented into:

  • System Integration & Installation
  • Managed Security Services (MSS)
  • Education & Training
  • Consulting
  • Risk & Threat Assessment

On the basis of deployment model, the global data loss prevention market is segmented into:

  • On-Premise
  • Cloud Data Loss Prevention

On the basis of organization size, the global data loss prevention market is segmented into:

  • Small and Medium Businesses
  • Large Enterprises

On the basis of application, the global data loss prevention market is segmented into:

  • Cloud Storage
  • Encryption
  • Policy, Standards & Procedures
  • Centralized Management
  • Web & Email Protection
  • Incident Response & Workflow Management

On the basis of end user industry, the global data loss prevention market is segmented into:

  • Banking, Financial Services and Insurance (BFSI)
  • Aerospace, Defense & Intelligence
  • Government and Public Utilities
  • Retail, Manufacturing & Logistics
  • Telecomm and IT
  • Healthcare
  • Others

Data Loss Prevention Market: Regional Insights

The global data loss prevention market is segmented on the basis of regions into North America, Europe, Asia Pacific, Latin America, and Middle East, and Africa. North America region accounted for the largest share in global data loss prevention market in 2016 and this region is expected to dominate the global market by 2025. The dominance of this region is attributed to increased adoption of cloud and big data technologies. For instance, according to Coherent Market Insights analysis, in 2015, North America accounted for around 66% of the global cloud services market, owing to rampant development of IT infrastructure and presence of major IT companies such as Google, Microsoft, IBM, and Oracle in the region.

Data Loss Prevention Market: Competitive Background

Major players operating in the global data loss prevention market include Symantec Corporation, CA Technologies, BAE Systems, Websense, Inc., Trend Micro Incorporated, Digital Guardian, Code Green Networks, Trustwave Holding, Inc., Zecurion, and GTB Technologies, Inc.

Research Methodology

Coherent Market Insights followsa comprehensive research methodology focused on providing the most precise market analysis. The company leverages a data triangulation model which helps company to gauge the market dynamics and provide accurate estimates. Key components of the research methodologies followed for all our market reports include:

  • Primary Research (Trade Surveys and Experts Interviews)
  • Desk Research
  • Proprietor Data Analytics Model

In addition to this, Coherent Market Insights has access to a wide range of the regional and global reputed paid data bases, which helps the company to figure out the regional and global market trends and dynamics. The company analyses the industry from the 360 Degree Perspective i.e. from the Supply Side and Demand Side which enables us to provide granular details of the entire ecosystem for each study. Finally, a Top-Down approach and Bottom-Up approach is followed to arrive at ultimate research findings.


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Coherent Market Insights desk research is based on a principle set of research techniques:

  • National level desk research: It Includes research analysis of regional players, regional regulatory bodies, regional trade associations, and regional organization.
  • Multinational level desk research: The research team keeps a track of multinational players, global regulatory bodies, global trade associations, and global organization.

Coherent Market Insights has a large amount of in-house repository of industry database. This is leveraged as a burner for initiating a new research study. Key secondary sources include:

  • Governmental bodies, National and international social welfare institutions, and organizations creating economic policies among others.
  • Trade association, National and international media and trade press.
  • Company Annual reports, SEC filings, Corporate Presentations, press release, news, and specification sheet of manufacturers, system integrators, brick and mortar - distributors and retailers, and third party online commerce players.
  • Scientific journals, and other technical magazines and whitepapers.
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Preliminary Data Mining

The raw data is obtained through the secondary findings, in house repositories, and trade surveys. It is then filtered to ensure that the relevant information including industry dynamics, trends, and outlook is retained for further research process.

Data Standardization:

Holistic approach is used to ensure that the granular and uncommon parameters are taken into consideration to ensure accurate results. The information from the paid databases are further combined to the raw data in order to standardize it.

Coherent Statistical model

We arrive at our final research findings through simulation models. Coherent Data Analytics Model is a statistical tool that helps company to forecast market estimates. Few of the parameters considered as a part of the statistical model include:

  • Micro-economic indicators
  • Macro-economic indicators
  • Environmental indicators
  • Socio-political indicators
  • Technology indicators

Data Processing

Once the findings are derived from the statistical model, large volume of data is process to confirm accurate research results. Data analytics and processing tools are adopted to process large chunk of collected informative data. In case, a client customizes the study during the process, the research finding till then are benchmarked, and the process for new research requirement is initiated again.

Data Validation

This is the most crucial stage of the research process. Primary Interviews are conducted to validate the data and analysis. This helps in achieving the following purposes:

  • It provides first-hand information on the market dynamics, outlook, and growth parameters.
  • Industry experts validates the estimates which helps the company to cement the on-going research study.
  • Primary research includes online surveys, face-to face interviews, and telephonic interviews.

The primary research is conducted with the ecosystem players including, but not limited to:

  • Raw Material Suppliers
  • Manufacturers
  • System Integrators
  • Distributors
  • End-users

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