We have data on 115 companies that use Oracle Data Masking. The companies using Oracle Data Masking are most often found in United States and in the Information Technology and Services industry. Oracle Data Masking is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for Oracle Data Masking usage goes back as far as 7 years and 10 months.
|Company||Lockheed Martin Corporation|
|Company||Cisco Systems, Inc.|
|Lockheed Martin Corporation||lockheedmartin.com||United States||>1000M||>10000|
|Cisco Systems, Inc.||cisco.com||United States||>1000M||>10000|
|AT&T Inc||att.com||United States||>1000M||>10000|
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Data Security. By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Data Security category, Oracle Data Masking has a market share of about 0.1%. Other major and competing products in this category include:
Oracle Data Masking helps organizations comply with data privacy and protection mandates that restrict the use and sharing of private, sensitive or personally identifiable information (PII). With Oracle Data Masking, sensitive information such as credit card or social security numbers can be replaced with realistic values, allowing production data to be safely used for development, testing, or sharing with out-sourcing partners or off-shore teams for other non-production purposes.
Looking at Oracle Data Masking customers by industry, we find that Information Technology and Services (32%), Financial Services (11%) and Computer Software (6%) are the largest segments.
53% of Oracle Data Masking customers are in United States and 6% are in United Kingdom.
Of all the customers that are using Oracle Data Masking, a majority (68%) are large (>1000 employees), 11% are small (<50 employees) and 14% are medium-sized.
Of all the customers that are using Oracle Data Masking, a majority (66%) are large (>$1000M), 16% are small (<$50M) and 0% are medium-sized.