2020-2025 Global Data Masking Technology Market Report - Production and Consumption Professional Analysis (Impact of COVID-19)

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)
This report elaborates the market size, market characteristics, and market growth of the Data Masking Technology industry, and breaks down according to the type, application, and consumption area of Data Masking Technology. The report also conducted a PESTEL analysis of the industry to study the main influencing factors and entry barriers of the industry.

In Chapter 3.4 of the report, the impact of the COVID-19 outbreak on the industry was fully assessed. Fully risk assessment and industry recommendations were made for Data Masking Technology in a special period. This chapter also compares the markets of Pre COVID-19 and Post COVID-19.
In addition, chapters 8-12 consider the impact of COVID-19 on the regional economy.

Key players in the global Data Masking Technology market covered in Chapter 13:
Delphix
ARCAD Software
IRI
Solix
Net 2000 Ltd.
Micro Focus
Compuware
Oracle Corporation
Informatica
Mentis
Innovative Routines International, Inc
Oracle
Camouflage Software Inc.
Ekobit
CA Technologies
IBM
Arcad Software

In Chapter 6, on the basis of types, the Data Masking Technology market from 2015 to 2025 is primarily split into:
Static
Dynamic

In Chapter 7, on the basis of applications, the Data Masking Technology market from 2015 to 2025 covers:
Finance
Marketing & Sales
Operations
Legal

Geographically, the detailed analysis of production, trade of the following countries is covered in Chapter 4.2, 5:
United States
Europe
China
Japan
India

Geographically, the detailed analysis of consumption, revenue, market share and growth rate of the following regions are covered in Chapter 8, 9, 10, 11, 12:
North America (Covered in Chapter 8)
United States
Canada
Mexico
Europe (Covered in Chapter 9)
Germany
UK
France
Italy
Spain
Others
Asia-Pacific (Covered in Chapter 10)
China
Japan
India
South Korea
Southeast Asia
Others
Middle East and Africa (Covered in Chapter 11)
Saudi Arabia
UAE
South Africa
Others
South America (Covered in Chapter 12)
Brazil
Others

Years considered for this report:


Historical Years:

2015-2019

Base Year:

2019

Estimated Year:

2020

Forecast Period:

2020-2025

Frequently Asked Questions



This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.

  • By product type
  • By End User/Applications
  • By Technology
  • By Region

The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.

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