Data Masking Technology Market Insights and Forecast by 2027

The data masking technology market is expanding as organisations in sectors ranging from BFSI to government become increasingly wary about internal hacking and data privacy concerns. Recent innovations like big data generate enormous datasets, increasing the risk.

Data masking technology is used to evaluate the data in proxies and address these concerns for preventing outside attacks.

Data security is provided through data masking technology, which copies the actual data into a non-sensitive proxy that appears to be comparable data. Without running the danger of the company going out of business, this non-sensitive data can be used in business processes for testing and analysis. The most current and expanding trend in database access is dynamic masking. Market drivers & challenges

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Market drivers & challenges

The requirement for data security and privacy concerns is what primarily drives the demand for data masking technologies.

The market for data masking technology is also fueled by the production of massive amounts of data that must be examined and validated without interfering with regular business activities. Companies mostly use data masking technology for testing and analysing data, protecting production databases, and adhering to various standards.

Dynamic masking, which is used to work on masked data in real-time, has seen tremendous growth recently in the market for data masking technology.

Key Market Players

Informatica Corporation, CA Technologies, Camouflage Software Inc., Delphix Corp, IBM Corporation, Compuware Corporation, Net 2000 Ltd, Oracle Corporation, and Hewlett Packard Enterprise are a few of the major companies in the market for data masking technology.

To acquire a competitive edge in the market, major players in the data masking technology industry adopt a cooperation or acquisition approach with numerous regional players.

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The report covers exhaustive analysis on

  • Global Data Masking Technology market segments
  • Global Data Masking Technology market dynamics
  • Historical Actual Market Size, 2014 – 2015
  • Global Data Masking Technology market size & forecast 2017 to 2027
  • Ecosystem analysis
  • Global Data Masking Technology market current trends/issues/challenges
  • Competition & Companies involved technology
  • Value Chain
  • Global Data Masking Technology market drivers and restraints

Global Data Masking Technology Market: Segmentation

Global Data Masking Technology market is segmented based on the end-user verticals, deployments models and region.

On the basis of the end-user vertical the global Data Masking Technology market is segmented into

  • BFSI
  • retail
  • telecomm
  • health care
  • energy
  • education
  • automobile
  • public sector
  • others

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On basis of deployment models global Data Masking Technology market can be segmented

  • ETL
  • In-Place masking
  • dynamic masking

On basis of region global Data Masking Technology market is segmented into

  • North America
  • Latin America
  • Eastern Europe
  • Western Europe
  • Asia Pacific Excluding Japan (APEJ)
  • Japan
  • The Middle East and Africa (MEA)

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About the Author

Nikhil Kaitwade

Associate Vice President at Future Market Insights, Inc. has over a decade of experience in market research and business consulting. He has successfully delivered 1500+ client assignments, predominantly in Automotive, Chemicals, Industrial Equipment, Oil & Gas, and Service industries.
His core competency circles around developing research methodology, creating a unique analysis framework, statistical data models for pricing analysis, competition mapping, and market feasibility analysis. His expertise also extends wide and beyond analysis, advising clients on identifying growth potential in established and niche market segments, investment/divestment decisions, and market entry decision-making.
Nikhil holds an MBA degree in Marketing and IT and a Graduate in Mechanical Engineering. Nikhil has authored several publications and quoted in journals like EMS Now, EPR Magazine, and EE Times.

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