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Global Data Masking Technology Market Research Report 2021 - Impact of COVID-19 on the Market

SKU ID : Maia-19418556 | Publishing Date : 29-Oct-2021 | No. of pages : 112

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 Million USD in 2016, grew to xx Million USD in 2021, and will reach xx Million USD in 2026, with a CAGR of xx during 2021-2026.

Considering the influence of COVID-19 on the global Data Masking Technology market, this report analyzed the impact from both global and regional perspectives. From production end to consumption end in regions such as North America, Europe, China, and Japan, the report put emphasis on analysis of market under COVID-19 and corresponding response policy in different regions.

This report also analyzes the strategies for different companies to deal with the impact of COVID-19 in detail to seek a path to recovery.

Under COVID-19 Outbreak, how the Data Masking Technology Industry will develop is also analyzed in detail in Chapter 1.8 of this report.

Major Players in Data Masking Technology market are:
Oracle
Oracle Corporation
Solix
Net 2000 Ltd.
Informatica
Arcad Software
Compuware
Delphix
IBM
Micro Focus
Ekobit
Innovative Routines International, Inc
ARCAD Software
Camouflage Software Inc.
IRI
Mentis
CA Technologies

Most important types of Data Masking Technology products covered in this report are:
Static
Dynamic

Most widely used downstream fields of Data Masking Technology market covered in this report are:
Finance
Marketing & Sales
Operations
Legal

Major Region

s or countries covered in this report:
North America
Europe
China
Japan
Middle East and Africa
South America
India
South Korea
Southeast Asia
Others

In Chapter 3.4, the report provides analysis of the reasons behind price fluctuations.

In chapters 5, 6, and 7, the impact of COVID-19 on the different regions in both production and consumption end and SWOT analysis are pointed out.

In Chapters 8, the report presents company's recent development and strategies to deal with the impact of COVID-19.

Years considered for this report:


Historical Years:

2016-2020

Base Year:

2020

Estimated Year:

2021

Forecast Period:

2021-2026

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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