Dynamic data masking is widely used in various industries like BFSI, telecommunication, healthcare, retail, education, and other sectors. It is an emerging technology that aims at providing real-time data masking of production data. It helps prevent unauthorized access to sensitive data by allowing customers to specify how much of the data is to be revealed for minimal impact on the application layer. It is used for functions like default, email, random, custom string, and others data masking process.This growth is primarily driven by Rising Number of Data Threats Online Requires Enhanced Security and Reduces the Risk of a Data Breach and Demand for the Customised Data masking for Regulatory and Business Operations.
Globally, a noticeable market trend is evident Integration of Various Features Like Partial and Full Masking for Numeric Data. The Business Services sector in the North America region has been increasing at a sustainable rate and further growth is expected to be witnessed over the forecast period, owing to the robust investments and expansion in production facilities in the region. Major Players, such as IBM (United States), Informatica (United States), Micro Focus (United Kingdom), Oracle (United States), Microsoft (United States), Delphix (United States), MENTIS INC. (United States), Camouflage Software Inc. (Canada), IRI CoSort (United States) and Baffle, Inc. (United States) etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.
On 28th January 2021, Baffle, Inc. announced that its Data Protection Services (DPS) supports data de-identification, dynamic data masking, and adaptive data security controls for Amazon Redshift. Baffle DPS is the only solution that provides seamless integration with AWS Database Migration Services, AWS Glue, AWS S3, and Redshift without any code changes to provide end-to-end protection of the modern data pipeline.
- Rising Number of Data Threats Online Requires Enhanced Security and Reduces the Risk of a Data Breach
- Demand for the Customised Data masking for Regulatory and Business Operations
- Integration of Various Features Like Partial and Full Masking for Numeric Data
- Regulatory Compliances with the Dynamic Data Masking
Surging Demand for the Dynamic Data Masking from BFSI Sectors for Extra Security
Data Privacy Related Problems with Dynamic Data Masking
AMA Research follow a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcase the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyse the products and services offered by multiple players competing to increase their market share and presence.
Customization in the Report
AMA Research features not only specific market forecasts, but also include significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis
Against this Challenging Backdrop, Dynamic Data Masking Study Sheds Light on
The Dynamic Data Masking Market status quo and key characteristics. To end this, Analyst at AMA organize and took survey of the Dynamic Data Masking industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
Where Dynamic Data Masking industry is heading and what are the top priorities. Insights are drawn from financial analysis, the survey and interviews with key executives and industry experts.
How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold value they currently claim, or capture the new addressable opportunity.
Frequently Asked Questions (FAQ):1. What is the growth rate predicted for the Global Dynamic Data Masking Market?
The Dynamic Data Masking market is expected to see a CAGR of % during projected year 2020 to 2026.
2. Who are the top performing companies in Dynamic Data Masking Market?
Top performing companies in the Global Dynamic Data Masking market are IBM (United States), Informatica (United States), Micro Focus (United Kingdom), Oracle (United States), Microsoft (United States), Delphix (United States), MENTIS INC. (United States), Camouflage Software Inc. (Canada), IRI CoSort (United States) and Baffle, Inc. (United States), to name a few.
3. Which region dominated the worldwide market for Dynamic Data Masking in 2020?
North America is dominating the Dynamic Data Masking Market.