Global Data De-identification & Pseudonymity Software Market Insights, Forecast to 2028

Data De Identificatino Pseudonymity Software Market

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.

The most popular method for removing identities from data in a dataset is pseudonymization. Data de-identification/pseudonymization software substitutes synthetic identifiers, or pseudonyms, for personally identifying information in datasets. To lessen the danger of keeping personally identifiable information and to comply with legislation like the CCPA and GDPR, businesses opt to de-identify or pseudonymous (also known as tokenize) their data. Software for data de-identification and pseudonymization enables businesses to utilize realistic datasets without compromising personal privacy. This preserves the anonymity of data subjects whose names, dates of birth, and other personally identifying information are contained in the dataset. Solutions for de-identification and pseudonymity enable businesses to extract value from datasets without jeopardizing the privacy of the data subjects in a particular dataset.

Data De Identificatino Pseudonymity Software Market Trends

The tightening of data privacy laws around the globe is one of the main factors boosting the market for data de-identification and pseudonymity software. Organizations are required to preserve the privacy of people's data by laws like the California Consumer Privacy Act (CCPA) and the General Data Protection Regulation (GDPR) of the European Union. By anonymizing or pseudonymizing sensitive data, de-identification, and pseudonymity software helps businesses to adhere to these requirements and lower the risk of data breaches and privacy violations. Concerns regarding data security have increased as a result of the frequent incidence of high-profile data breaches. To secure sensitive information, businesses are spending more money on data de-identification and pseudonymity solutions. By altering or eliminating personally identifying information (PII), these software applications help protect data by devaluing it in the eyes of possible attackers.

The demand for data protection has increased due to the exponential expansion of digital data, including personal, financial, and healthcare information. Software for data de-identification and pseudonymity is essential for managing and protecting the enormous volume of sensitive data that people and organizations create. The need for such solutions develops as data quantities continue to rise.  Sensitive patient data is produced and handled in enormous quantities in the healthcare industry. The need to protect patient privacy has increased with the use of electronic health records (EHRs) and telemedicine. In order to share anonymized data for research and analysis while observing stringent privacy laws like the Health Insurance Portability and Accountability Act (HIPAA), data de-identification and pseudonymity software is essential in the healthcare industry.

Decision-making based on data is common in many sectors, including banking, marketing, and research. Access to data is necessary for organizations while also protecting individual privacy. Software for data de-identification and pseudonymity allows businesses to analyze and conduct research on pseudonymized or anonymized data, revealing insights without compromising privacy.  Concerns regarding data security and privacy have grown as cloud computing and storage solutions have been more widely used. Businesses moving to the cloud look for technologies that let them safeguard data both before and after the move. Cloud environments may be coupled with data de-identification and pseudonymity technologies to guarantee data privacy throughout the data lifecycle.

Data De Identificatino Pseudonymity Software Market Share

Data De-identification and pseudonymity Software has a sizable market in North America, especially in the US and Canada. The area has strict rules governing data privacy, such as the HIPAA requirements for healthcare and several state-level data protection legislation. This increases the need for software programs that support data security and compliance. The use of data de-identification and pseudonymity software is further fueled by the existence of a thriving healthcare sector, banking sector, and technological enterprises.

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

By Region

• North America
• United States
• Canada
• Europe
• Germany
• France
• UK
• Italy
• Russia
• Nordic Countries
• 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