Global Data De-identification/Pseudonymity Software Market Size, Status and Forecast 2021-2027

The most common technique to de-identify data in a dataset is through pseudonymization. Data de-identification/pseudonymization software replaces personal identifying data in datasets with artificial identifiers, or pseudonyms. Companies choose to de-identify or pseudonymize (also called tokenize) their data to reduce their risk of holding personally identifiable information and comply with privacy and data protection laws such as the CCPA and GDPR.
Data de-identification/pseudonymization software allows companies to use realistic, but not personally identifiable datasets. This protects the anonymity of data subjects whose personal identifying data, such as names, dates of birth, and other identifiers, are in the dataset. De-identification/pseudonymity solutions help companies derive value from datasets without compromising the privacy of the data subjects in a given dataset.

Market Analysis and Insights: Global Data De-identification/Pseudonymity Software Market
The global Data De-identification/Pseudonymity Software market size is projected to reach US$ XX million by 2027, from US$ XX million in 2020, at a CAGR of XX% during 2021-2027.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Data De-identification/Pseudonymity Software market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Data De-identification/Pseudonymity Software market in terms of revenue.
On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Data De-identification/Pseudonymity Software market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Data De-identification/Pseudonymity Software market.

Global Data De-identification/Pseudonymity Software Scope and Market Size
Data De-identification/Pseudonymity Software market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Data De-identification/Pseudonymity Software market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Segment by Type
Cloud-Based
On-Premises

Segment by Application
Individual
Enterprise
Others

By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA

By Company
Aircloak
AvePoint
Anonos
Ekobit
Protegrity
Dataguise
Thales Group
ARCAD Software
IBM
MENTISoftware
Imperva
Informatica
KI DESIGN
Privacy Analytics
ContextSpace
Privitar
SecuPi
Semele
StratoKey
TokenEx
Truata
Very Good Security
Wizuda