Data Masking Technology Market Size, Share, Key Players and Opportunities by 2023

The market is segmented on the basis of technology, which includes ETL, in-place masking, and dynamic masking. The application areas of data masking technology include BFSI, IT, telecommunication, energy and automotive. The rising concern over data security and privacy issues to keep the consumer and confidential data protected in BFSI and IT, is one of the prime growth factors of the data masking technology market. It is also gaining significance in healthcare as it focuses to safeguard patient health record from the external threats.

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 Data masking technology market makes highest revenue from BFSI sector. IT and telecommunication industries are investing heavily in this technology, as they face major challenges related to internal hacking and data privacy issues. Data masking technology market in healthcare is expected to show a robust growth, during the forecast period, as hospitals are adopting latest technology to protect data from outside threats, when hackers try to steal health related data for monetary gains. It is also gaining significance in the automotive industry, on account of protecting design and specification of vehicles from internal and external threats.

Dynamic masking is gaining adoption in an enterprise, as it offers advanced method of data protection in an environment where unauthenticated users can easily access. It is one of the cost-effective technologies to protect business application and databases from data breach threats. Dynamic masking uses two major approaches: view based masking and proxy based masking, and changes the flow of data without changing its physical presence.

Dynamic data masking also helps to analyse big data without affecting the regular business operations. Large, medium and small enterprises also prefer this technology for testing and analysis purposes, as it offers unique value to preserve complex data with minimal disruption.

Some of the other key players operating in market are Delphix Corporation, Compuware Corporation, Net 2000, Oracle Corporation, Hewlett Packard Enterprise, IRI, and Mentis Software. Oracle corporation recently introduced data masking technique, which uses a comprehensive approach called find, access, secure and test (FAST), to gain an edge over its competitors.