Data De-identification & Pseudonymity Software Market Research Report 2023

Data De Identificatino Pseudonymity Software Market

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.

The global Data De-identification & Pseudonymity Software market size is projected to reach US$ million by 2028, from US$ million in 2021, at a CAGR of % during 2022-2028.

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Fully considering the economic change by this health crisis, Cloud-Based accounting for % of the Data De-identification & Pseudonymity Software global market in 2021, is projected to value US$ million by 2028, growing at a revised % CAGR in the post-COVID-19 period.

While Individual segment is altered to an % CAGR throughout this forecast period.

China Data De-identification & Pseudonymity Software market size is valued at US$ million in 2021, while the North America and Europe Data De-identification & Pseudonymity Software are US$ million and US$ million, severally. The proportion of the North America is % in 2021, while China and Europe are % and % respectively, and it is predicted that China proportion will reach % in 2028, trailing a CAGR of % through the analysis period. Japan, South Korea, and Southeast Asia are noteworthy markets in Asia, with CAGR %, %, and % respectively for the next 6-year period.

As for the Europe Data De-identification & Pseudonymity Software landscape, Germany is projected to reach US$ million by 2028 trailing a CAGR of % over the forecast period.

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.

Overall, 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.

Data De-identification & Pseudonymity Software market is segmented by players, 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 for the period 2017-2028.

By Type
• Cloud-Based
• On-Premises

By Application
• Individual
• Enterprise
• Others

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

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