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The process of systematically converting sensitive data items, such as trade secrets and personally identifying information (PII), into practical yet fictionalized values is known as data masking. Data masking has become a requirement in the cyber security scenario due to the increasing incidences of these data breaches. Aside from that, dynamic data masking protects confidential and personal data while enabling outsourcing, offshoring, and cloud-based initiatives. Dynamic data masking enables companies to analyze vast volumes of data without affecting their daily operations. For data processing and research, most companies prefer dynamic data masking technology.
The aim of the report is to estimate the size of the market for Data Masking and the future growth potential of the market for Data Masking across various segments, such as base service type, Deployment and industry vertical industry. The base year considered for the analysis is 2019 and from 2020 to 2028 the market size is estimated.
The primary driver of the data masking market is the need to shield data from unauthorized exposures. With the growing number of customers and enterprise data, as well as the rapidly shifting market environment, business operations are becoming increasingly complex. Furthermore, as technology progresses, numerous data-related threats such as cyber-attacks and internal data breaches may arise, which are some of the major concerns motivating businesses to safeguard their data at all levels. In 2018, the healthcare sector was one of the sectors that was heavily affected by data breaches. The healthcare sector, according to Gemalto, continues to be the industry with the most accidents. Information technology is used in the healthcare sector to help physicians and patients, as well as to increase the delivery of healthcare services. In the healthcare sector, electronic health records (EHRs) are commonly used to store patient information, including confidential health information. In addition, hospital administrative and financial staff use a number of other software to track hospital results, including financial efficiency and treatment success rates. Furthermore, patients interact with doctors through mobile and wireless technologies using a variety of apps.
The rapid growth of the data masking industry in North America during the evaluation period can be attributed to widespread adoption of data masking methods in countries like Canada and the United States. Furthermore, over the forecasted timeframe, the large-scale involvement of reputable firms such as Oracle Corporation and IBM would create new growth avenues for the data masking industry in North America.
Key Segments of the Global Data Masking Market
Type Overview, 2018-2028 (USD Million)
Deployment Overview, 2018-2028 (USD Million)
Important Companies in Global Data Masking market
Reasons for the study
What does the report include?
Who should buy this report?
The process of systematically converting sensitive data items, such as trade secrets and personally identifying information (PII), into practical yet fictionalized values is known as data masking. Data masking has become a requirement in the cyber security scenario due to the increasing incidences of these data breaches. Aside from that, dynamic data masking protects confidential and personal data while enabling outsourcing, offshoring, and cloud-based initiatives. Dynamic data masking enables companies to analyze vast volumes of data without affecting their daily operations. For data processing and research, most companies prefer dynamic data masking technology.
The aim of the report is to estimate the size of the market for Data Masking and the future growth potential of the market for Data Masking across various segments, such as base service type, Deployment and industry vertical industry. The base year considered for the analysis is 2019 and from 2020 to 2028 the market size is estimated.
The primary driver of the data masking market is the need to shield data from unauthorized exposures. With the growing number of customers and enterprise data, as well as the rapidly shifting market environment, business operations are becoming increasingly complex. Furthermore, as technology progresses, numerous data-related threats such as cyber-attacks and internal data breaches may arise, which are some of the major concerns motivating businesses to safeguard their data at all levels. In 2018, the healthcare sector was one of the sectors that was heavily affected by data breaches. The healthcare sector, according to Gemalto, continues to be the industry with the most accidents. Information technology is used in the healthcare sector to help physicians and patients, as well as to increase the delivery of healthcare services. In the healthcare sector, electronic health records (EHRs) are commonly used to store patient information, including confidential health information. In addition, hospital administrative and financial staff use a number of other software to track hospital results, including financial efficiency and treatment success rates. Furthermore, patients interact with doctors through mobile and wireless technologies using a variety of apps.
The rapid growth of the data masking industry in North America during the evaluation period can be attributed to widespread adoption of data masking methods in countries like Canada and the United States. Furthermore, over the forecasted timeframe, the large-scale involvement of reputable firms such as Oracle Corporation and IBM would create new growth avenues for the data masking industry in North America.
Key Segments of the Global Data Masking Market
Type Overview, 2018-2028 (USD Million)
Deployment Overview, 2018-2028 (USD Million)
Important Companies in Global Data Masking market
Reasons for the study
What does the report include?
Who should buy this report?
Chapter 1 Introduction
1.1 Introduction to the Study
1.2 Market Definition and Scope
1.3 Units, Currency, Conversions and Years Considered
1.4 Key Stakeholders
1.5 Key Questions Answered
Chapter 2 Research Methodology
2.1 Introduction
2.2 Data Capture Sources
2.2.1 Primary Sources
2.2.2 Secondary Sources
2.3 Market Size Estimation
2.4 Market Forecast
2.5 Data Triangulation
2.6 Assumptions and Limitations
Chapter 3 Executive Summary
Chapter 4 Market Outlook
4.1 Introduction
4.2 Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.2 Restraints
4.3.3 Opportunities
4.4 Porter’s Five Forces Analysis
4.5 PEST Analysis
4.6. Regulatory Landscape
4.7 COVID-19 Impact Analysis
Chapter 5 Data Masking Market by Type
5.1 Introduction
5.2 Static
5.3 Dynamic
Chapter 6 Data Masking Market by Deployment
6.1 Introduction
6.2 Cloud
6.3 On-premises
Chapter 7 Data Masking Market by Industry Vertical
7.1 Introduction
7.2 BFSI
7.3 Retail & E-commerce
7.4 Manufacturing
7.5 Government & Defense
7.6 Energy & Utilities
7.7 IT and Telecom
7.8 Education
7.9 Healthcare
7.10 Others
Chapter 8 Competitive Landscape
8.1 Overview
8.2 Strategic Analysis
8.2.1 Mergers & Acquisitions
8.2.2 New Product Launch
8.2.3 Investments
8.2.4 Expansion
8.2.5 Customer Targeting
Chapter 9 Company Profiles
(Overview, Products and Services Portfolio, Recent Initiatives, Company Financials, SWOT)
9.1 Solix Technologies Inc.
9.2 Mentis Inc.
9.3 Informatica
9.4 IBM Corporation
9.5 CA Technologies
9.6 Oracle
9.7 Arcad Software
9.8 CyberDB
9.9 Delphix
9.10 Camouflage software Inc.
9.11 Information Resources Inc.
9.12 BMC SOFTWARE INC.
9.13 Others