Data masking or data obfuscation is the process of hiding original data with random characters or data.
The main reason for applying masking to a data field is to protect data that is classified as personal identifiable data, personal sensitive data or commercially sensitive data, however the data must remain usable for the purposes of undertaking valid test cycles. It must also look real and appear consistent. It is more common to have masking applied to data that is represented outside of a corporate production system. In other words, where data is needed for the purpose of application development, building program extensions and conducting various test cycles. It is common practice in enterprise computing to take data from the production systems to fill the data component, required for these non-production environments. However the practice is not always restricted to non-production environments. In some organizations, data that appears on terminal screens to call centre operators may have masking dynamically applied based on user security permissions. (e.g.: Preventing call centre operators from viewing Credit Card Numbers in billing systems)
The Data Masking Technology market revenue was xx.xx Million USD in 2019, and will reach xx.xx Million USD in 2025, with a CAGR of x.x% during 2020-2025.
Under COVID-19 outbreak globally, this report provides 360 degrees of analysis from supply chain, import and export control to regional government policy and future influence on the industry. Detailed analysis about market status (2015-2020), enterprise competition pattern, advantages and disadvantages of enterprise products, industry development trends (2020-2025), regional industrial layout characteristics and macroeconomic policies, industrial policy has also been included. From raw materials to end users of this industry are analyzed scientifically, the trends of product circulation and sales channel will be presented as well. Considering COVID-19, this report provides comprehensive and in-depth analysis on how the epidemic push this industry transformation and reform.
In COVID-19 outbreak, Chapter 2.2 of this report provides an analysis of the impact of COVID-19 on the global economy and the Data Masking Technology industry.
Chapter 3.7 covers the analysis of the impact of COVID-19 from the perspective of the industry chain.
In addition, chapters 7-11 consider the impact of COVID-19 on the regional economy.
The Data Masking Technology market can be split based on product types, major applications, and important countries as follows:
Key players in the global Data Masking Technology market covered in Chapter 12:
Net 2000 Ltd.
Innovative Routines International, Inc
Camouflage Software Inc.
In Chapter 4 and 14.1, on the basis of types, the Data Masking Technology market from 2015 to 2025 is primarily split into:
In Chapter 5 and 14.2, on the basis of applications, the Data Masking Technology market from 2015 to 2025 covers:
Marketing & Sales
Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2015-2025) of the following regions are covered in Chapter 6, 7, 8, 9, 10, 11, 14:
North America (Covered in Chapter 7 and 14)
Europe (Covered in Chapter 8 and 14)
Asia-Pacific (Covered in Chapter 9 and 14)
Middle East and Africa (Covered in Chapter 10 and 14)
South America (Covered in Chapter 11 and 14)
Years considered for this report:
Historical Years: 2015-2019
Base Year: 2019
Estimated Year: 2020
Forecast Period: 2020-2025