Market Overview:
The global data de-identification/pseudonymity software market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing need for data privacy and security, rising number of cyber-attacks, and growing demand for big data analytics. Based on type, the global data de-identification/pseudonymity software market can be segmented into cloud-based and on-premises segments. The cloud-based segment is expected to grow at a higher CAGR than the on-premises segment during the forecast period. This growth can be attributed to the growing trend of cloud adoption among enterprises and increasing demand for big data analytics solutions. Based on application, the global data de-identification/pseudonymity software market can be divided into individual, enterprise, and others segments.
Product Definition:
Data de-identification is the process of removing personal identifiers from data so that it cannot be used to identify individual people. Pseudonymity is a form of data de-identification in which the real identity of an individual is hidden by replacing their name with a pseudonym. Data de-identification and pseudonymity software are tools that can be used to achieve this goal.
The importance of data de-identification and pseudonymity software lies in their ability to protect the privacy of individuals who are represented in data sets. By removing or obscuring personal identifiers, these tools make it difficult for unauthorized individuals to link specific pieces of information back to specific people. This can help prevent people from being inadvertently exposed or identified through their participation in research studies, surveys, or other forms of data collection.
Cloud-Based:
Cloud-based data de-identification/pseudonymity software is a tool that allows the user to easily remove or mask their identity when accessing restricted or private information. The demand for cloud based data de-identification/pseudonymity software is expected to witness significant growth over the forecast period owing to increasing awareness regarding cyber security threats and stringent government regulations on privacy protection.
On-Premises:
On-premises software is a type of data de-identification/pseudonymity software that is installed and used on the end user's own computers or servers. The information being pseudonymized cannot be accessed by any other person or entity.
Application Insights:
The enterprise application segment accounted for the largest revenue share of over 60% in 2017. The need to maintain the privacy and security of data is driving the demand for global data de-identification/pseudonymity software among enterprises. The individual application segment is expected to witness a CAGR of XX% from 2018 to 2030, in terms of revenue.
The others application segment includes healthcare applications and financial applications. In both cases, these applications require maintaining patient confidentiality while allowing access to authorized personnel only with required permissions.
Regional Analysis:
Europe dominated the global market in 2017, with a revenue share of over 25%. This is attributed to the presence of strict regulations by the European government regarding data protection. For instance, in April 2018, The General Data Protection Regulation (GDPR) comes into effect across all EU member states. Under this regulation, personal data must be pseudonymized before being processed by an organization.
The Asia Pacific region is expected to witness significant growth over the forecast period owing to increasing adoption of de-identification software solutions by organizations operating in healthcare and financial services sectors for regulatory compliance purposes.
In addition there are several initiatives undertaken by governments across various countries such as India.
Growth Factors:
- Increasing demand for data privacy and security from individual and enterprise users
- Proliferation of big data and analytics, which is driving the need for data de-identification/pseudonymity software
- The increasing number of compliance regulations mandating the protection of personal information
- The growing trend of outsourcing IT services, which is resulting in an increased demand for data de-identification/pseudonymity software
- The increasing popularity of cloud computing, which is making it easier to access and use data de-identification/pseudonymity software
Scope Of The Report
Report Attributes
Report Details
Report Title
Data De-identification/Pseudonymity Software Market Research Report
By Type
Cloud-Based, On-Premises
By Application
Individual, Enterprise, Others
By Companies
Aircloak, AvePoint, Anonos, Ekobit, Protegrity, Dataguise, Thales Group, ARCAD Software, IBM, MENTISoftware, Imperva, Informatica, KI DESIGN, Privacy Analytics, ContextSpace, Privitar, SecuPi, Semele, StratoKey, TokenEx, Truata, Very Good Security, Wizuda
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
183
Number of Tables & Figures
129
Customization Available
Yes, the report can be customized as per your need.
Global Data De-identification/Pseudonymity Software Market Report Segments:
The global Data De-identification/Pseudonymity Software market is segmented on the basis of:
Types
Cloud-Based, On-Premises
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Individual, Enterprise, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Aircloak
- AvePoint
- Anonos
- Ekobit
- Protegrity
- Dataguise
- Thales Group
- ARCAD Software
- IBM
- MENTISoftware
- Imperva
- Informatica
- KI DESIGN
- Privacy Analytics
- ContextSpace
- Privitar
- SecuPi
- Semele
- StratoKey
- TokenEx
- Truata
- Very Good Security
- Wizuda
Highlights of The Data De-identification/Pseudonymity Software Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Cloud-Based
- On-Premises
- By Application:
- Individual
- Enterprise
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Data De-identification/Pseudonymity Software Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Data de-identification/pseudonymity software is a computer program that can be used to anonymize or pseudonymize data.
Some of the major players in the data de-identification/pseudonymity software market are Aircloak, AvePoint, Anonos, Ekobit, Protegrity, Dataguise, Thales Group, ARCAD Software, IBM, MENTISoftware, Imperva, Informatica, KI DESIGN, Privacy Analytics, ContextSpace, Privitar, SecuPi, Semele, StratoKey, TokenEx, Truata, Very Good Security, Wizuda.
The data de-identification/pseudonymity software market is expected to register a CAGR of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Data De-identification/Pseudonymity Software Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Data De-identification/Pseudonymity Software Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Data De-identification/Pseudonymity Software Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Data De-identification/Pseudonymity Software Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Data De-identification/Pseudonymity Software Market Size & Forecast, 2018-2028
4.5.1 Data De-identification/Pseudonymity Software Market Size and Y-o-Y Growth
4.5.2 Data De-identification/Pseudonymity Software Market Absolute $ Opportunity
Chapter 5 Global Data De-identification/Pseudonymity Software Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Data De-identification/Pseudonymity Software Market Size Forecast by Type
5.2.1 Cloud-Based
5.2.2 On-Premises
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Data De-identification/Pseudonymity Software Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Data De-identification/Pseudonymity Software Market Size Forecast by Applications
6.2.1 Individual
6.2.2 Enterprise
6.2.3 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Data De-identification/Pseudonymity Software Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Data De-identification/Pseudonymity Software Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Data De-identification/Pseudonymity Software Analysis and Forecast
9.1 Introduction
9.2 North America Data De-identification/Pseudonymity Software Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Data De-identification/Pseudonymity Software Market Size Forecast by Type
9.6.1 Cloud-Based
9.6.2 On-Premises
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Data De-identification/Pseudonymity Software Market Size Forecast by Applications
9.10.1 Individual
9.10.2 Enterprise
9.10.3 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Data De-identification/Pseudonymity Software Analysis and Forecast
10.1 Introduction
10.2 Europe Data De-identification/Pseudonymity Software Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Data De-identification/Pseudonymity Software Market Size Forecast by Type
10.6.1 Cloud-Based
10.6.2 On-Premises
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Data De-identification/Pseudonymity Software Market Size Forecast by Applications
10.10.1 Individual
10.10.2 Enterprise
10.10.3 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Data De-identification/Pseudonymity Software Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Data De-identification/Pseudonymity Software Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Data De-identification/Pseudonymity Software Market Size Forecast by Type
11.6.1 Cloud-Based
11.6.2 On-Premises
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Data De-identification/Pseudonymity Software Market Size Forecast by Applications
11.10.1 Individual
11.10.2 Enterprise
11.10.3 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Data De-identification/Pseudonymity Software Analysis and Forecast
12.1 Introduction
12.2 Latin America Data De-identification/Pseudonymity Software Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Data De-identification/Pseudonymity Software Market Size Forecast by Type
12.6.1 Cloud-Based
12.6.2 On-Premises
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Data De-identification/Pseudonymity Software Market Size Forecast by Applications
12.10.1 Individual
12.10.2 Enterprise
12.10.3 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Data De-identification/Pseudonymity Software Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Data De-identification/Pseudonymity Software Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Data De-identification/Pseudonymity Software Market Size Forecast by Type
13.6.1 Cloud-Based
13.6.2 On-Premises
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Data De-identification/Pseudonymity Software Market Size Forecast by Applications
13.10.1 Individual
13.10.2 Enterprise
13.10.3 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Data De-identification/Pseudonymity Software Market: Competitive Dashboard
14.2 Global Data De-identification/Pseudonymity Software Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Aircloak
14.3.2 AvePoint
14.3.3 Anonos
14.3.4 Ekobit
14.3.5 Protegrity
14.3.6 Dataguise
14.3.7 Thales Group
14.3.8 ARCAD Software
14.3.9 IBM
14.3.10 MENTISoftware
14.3.11 Imperva
14.3.12 Informatica
14.3.13 KI DESIGN
14.3.14 Privacy Analytics
14.3.15 ContextSpace
14.3.16 Privitar
14.3.17 SecuPi
14.3.18 Semele
14.3.19 StratoKey
14.3.20 TokenEx
14.3.21 Truata
14.3.22 Very Good Security
14.3.23 Wizuda
