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Global Data Masking Software Market Research Report 2023

06-30-2023 08:22 AM CET | Advertising, Media Consulting, Marketing Research

Press release from: Valuates Reports

Data masking software is used to de-identify sensitive data to protect it from internal misuse or exposure in the event of a data security breach.

The global Data Masking Software market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.

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The data masking software market refers to the market for software solutions that enable organizations to protect sensitive data by obfuscating or masking it. Data masking involves replacing sensitive information such as personally identifiable information (PII), financial data, or intellectual property with fictitious or altered data while preserving its usability for certain purposes like development, testing, or analytics.

Data masking software helps organizations comply with data privacy regulations, safeguard sensitive information, and reduce the risk of data breaches. It is widely used in industries such as banking and finance, healthcare, retail, e-commerce, and software development.

Key factors influencing the data masking software market include:

Data Privacy and Compliance: With the increasing number of data privacy regulations, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), organizations are required to protect sensitive data and ensure compliance. Data masking software helps organizations achieve compliance by anonymizing or de-identifying sensitive data.

Data Security and Risk Mitigation: Data breaches and unauthorized access to sensitive data can lead to severe financial and reputational damage for organizations. Data masking software plays a crucial role in reducing the risk of data breaches by replacing sensitive data with realistic but fictitious values, making it challenging for attackers to extract usable information.

Development and Testing: Organizations often need to use real or representative data for development, testing, or analytics purposes. Data masking software allows them to create copies of production data while masking sensitive information, ensuring data privacy and security during these processes.

Cloud Adoption: As organizations increasingly adopt cloud computing and store data in cloud environments, data masking software provides an additional layer of protection for sensitive data. It helps organizations maintain control over their data and comply with security requirements when migrating to the cloud.

Data Analytics and Outsourcing: Data masking software enables organizations to share masked or obfuscated data with external parties for data analytics, collaborations, or outsourcing while protecting sensitive information. This capability is particularly valuable for organizations that need to share data with third parties or utilize external resources without exposing sensitive data.

The data masking software market includes a range of software vendors offering solutions tailored to specific use cases and industries. Some prominent vendors in the market include IBM, Informatica, Delphix, Micro Focus, Oracle, and Protegrity, among others.

The market for data masking software is driven by factors such as increasing data privacy concerns, regulatory requirements, the need for data security, and the growing adoption of cloud computing and analytics. Additionally, advancements in data masking techniques, such as synthetic data generation and dynamic data masking, contribute to the market growth.

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