Data Masking, also known as data obfuscation, is a method of protecting sensitive data by replacing the original value with a fictitious but realistic equivalent. The main objective of data masking is creating an alternate version of data that cannot be easily identifiable or reverse engineered, protecting data classified as sensitive. It also eliminates the risk of personal data exposure in compliance with data privacy regulations. Data Masking market was valued at $483.90 million in 2020 and is expected to reach $1,044.93 million by 2026, at a CAGR of 13.69% over the forecast period.
