The most popular method for removing identities from data in a dataset is pseudonymization. De-identification is a topic that has drawn a lot of interest from privacy regulators worldwide in recent years.
The rising demand for data security has significantly boosted the global market for data de-identification and pseudonymity software as more consumers are transferring their preferences to this expanding industry.
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Data de-identification/pseudonymization software substitutes synthetic identifiers, or pseudonyms, for personally identifying information in datasets.
The Data De-identification/Pseudonymity Software Market is projected to be driven by strict regulatory standards and data privacy compliance.
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Also, there has been a significant rise in SMEs. The surge has had an impact on the market as well.
Long hailed as the panacea for safeguarding the confidentiality of personal data, de-identification is a far more involved procedure when data is made available to the general public.
Depending on the methods used to process the data and any supplementary information that the public might have access to, making de-identified information publicly available is not always a safe decision. Therefore, individual-level data at the unit level are used for analysis every time.