Market Overview:
The global data de-identification and pseudonymity software market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth of 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. The global data de-identification and pseudonymity software market is segmented on the basis of type into cloud based and on premises. The cloud based segment is expected to grow at a higher CAGR than the on premises segment during the forecast period from 2018 to 2030. This can be attributed to the growing trend of cloud adoption among enterprises across different industries. On the basis of application, the global data de-identification and pseudonymity software market is divided into large enterprises and SMEs.
Product Definition:
De-identification software is used to strip away personally identifiable information from data sets so that the data can be shared without compromising the privacy of the individuals involved. Pseudonymity software is used to assign fictitious but unique identifiers to data records, making it impossible to track back individual records. Both de-identification and pseudonymity are important for protecting the privacy of individuals who contribute data to research projects or other large-scale datasets.
Cloud Based:
Cloud-based data de-identification and pseudonymity software is a tool that allows the user to easily remove or mask their identity when accessing restricted or private information. The cloud based software also helps in maintaining the privacy of the user by removing any trace of them from an identified piece of information.
On Premises:
On Premises is a software used for de-identification and pseudonymity. It's primary function is to mask the identity of specific data or set of data by changing one or more pieces of information in it's metadata. On premises software can be used for various applications such as medical records, financial transactions, web-based activity, consumer behavior etc.
The global on premise software market size was valued at USD 0.48 billion in 2016.
Application Insights:
Large enterprises segment held the largest market share in 2017. Large enterprises are more likely to have robust data protection policies and procedures in place, which is expected to drive the demand for global de-identification and pseudonymity software over the forecast period. The large enterprise segment covers companies with more than 100 employees.
The Small & Medium Enterprise (SME) segment is expected to register a significant CAGR of XX% from 2018 to 2030 owing to an increase in adoption of de-identification and pseudonymity software by SMEs for data protection purposes. The SME application segment includes small businesses, independent professionals, sole proprietorships and partnerships among others who have fewer than 100 employees. Increasing awareness about cyber security threats among these smaller organizations has led them towards adopting robust data protection measures such as anonymization techniques that prevent re-identification of individuals or groups of individuals represented by datasets containing Personally Identifiable Information (PII).
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 several regulatory bodies, such as the European Data Protection Supervisor (EDPS), which mandate de-identification and pseudonymity requirements for certain categories of data. The stringent regulations have led to increased adoption across enterprises in this region.
However, Asia Pacific is expected to emerge as the fastest-growing regional market from 2018 to 2030 owing to increasing government initiatives and awareness programs about data protection issues. Moreover, an increase in cloud computing infrastructure investment activities will also drive demand for GDPR compliant data de-identification software solutions across enterprises in APAC countries over the forecast period. Increasing investments by governments from emerging economies such as India and China are also anticipated to contribute towards growth opportunities for vendors operating within this region.
Growth Factors:
- Increasing demand for data privacy and security from individual and enterprise users
- Proliferation of big data and analytics, which is increasing the need for data de-identification and pseudonymity software
- The growing trend of Bring Your Own Device (BYOD) in enterprises, which is leading to an increase in the need for data privacy solutions
- The increasing number of cyber-attacks and data breaches, which is driving organizations to seek out better ways to protect their confidential information
- The growing popularity of cloud computing, which is making it easier for organizations to access de-identified data
Scope Of The Report
Report Attributes
Report Details
Report Title
Data De-identification and Pseudonymity Software Market Research Report
By Type
Cloud Based, On Premises
By Application
Large Enterprises, SMEs
By Companies
Very Good Security, KIProtect, PHEMI Systems, Aircloak, Anonomatic, Precisely, Auric Systems International, AvePoint, Baffle, Anonos, Ekobit, BrighterAi, PlumCloud Labs, PKWARE, Thales Group, D-ID, ARCAD Software, Privacy1, HushHush, IBM, MENTISoftware, Immuta, Imperva, Informatica, Mentis
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
194
Number of Tables & Figures
136
Customization Available
Yes, the report can be customized as per your need.
Global Data De-identification and Pseudonymity Software Market Report Segments:
The global Data De-identification and 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
Large Enterprises, SMEs
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:
- Very Good Security
- KIProtect
- PHEMI Systems
- Aircloak
- Anonomatic
- Precisely
- Auric Systems International
- AvePoint
- Baffle
- Anonos
- Ekobit
- BrighterAi
- PlumCloud Labs
- PKWARE
- Thales Group
- D-ID
- ARCAD Software
- Privacy1
- HushHush
- IBM
- MENTISoftware
- Immuta
- Imperva
- Informatica
- Mentis
Highlights of The Data De-identification and 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:
- Large Enterprises
- SMEs
- 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 and 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 and pseudonymity software is a type of software that helps protect the privacy of individuals by anonymizing their data. This means that the data is removed from any individual identifiers, such as names or addresses, so that it cannot be linked to specific individuals.
Some of the major players in the data de-identification and pseudonymity software market are Very Good Security, KIProtect, PHEMI Systems, Aircloak, Anonomatic, Precisely, Auric Systems International, AvePoint, Baffle, Anonos, Ekobit, BrighterAi, PlumCloud Labs, PKWARE, Thales Group, D-ID, ARCAD Software, Privacy1, HushHush, IBM, MENTISoftware, Immuta, Imperva, Informatica, Mentis.
The data de-identification and pseudonymity software market is expected to grow at a compound annual growth rate of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Data De-identification and 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 and Pseudonymity Software Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Data De-identification and 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 and 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 and Pseudonymity Software Market Size & Forecast, 2018-2028
4.5.1 Data De-identification and Pseudonymity Software Market Size and Y-o-Y Growth
4.5.2 Data De-identification and Pseudonymity Software Market Absolute $ Opportunity
Chapter 5 Global Data De-identification and 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 and 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 and 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 and Pseudonymity Software Market Size Forecast by Applications
6.2.1 Large Enterprises
6.2.2 SMEs
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Data De-identification and 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 and 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 and Pseudonymity Software Analysis and Forecast
9.1 Introduction
9.2 North America Data De-identification and 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 and 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 and Pseudonymity Software Market Size Forecast by Applications
9.10.1 Large Enterprises
9.10.2 SMEs
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 and Pseudonymity Software Analysis and Forecast
10.1 Introduction
10.2 Europe Data De-identification and 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 and 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 and Pseudonymity Software Market Size Forecast by Applications
10.10.1 Large Enterprises
10.10.2 SMEs
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 and Pseudonymity Software Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Data De-identification and 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 and 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 and Pseudonymity Software Market Size Forecast by Applications
11.10.1 Large Enterprises
11.10.2 SMEs
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 and Pseudonymity Software Analysis and Forecast
12.1 Introduction
12.2 Latin America Data De-identification and 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 and 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 and Pseudonymity Software Market Size Forecast by Applications
12.10.1 Large Enterprises
12.10.2 SMEs
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 and Pseudonymity Software Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Data De-identification and 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 and 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 and Pseudonymity Software Market Size Forecast by Applications
13.10.1 Large Enterprises
13.10.2 SMEs
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 and Pseudonymity Software Market: Competitive Dashboard
14.2 Global Data De-identification and Pseudonymity Software Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Very Good Security
14.3.2 KIProtect
14.3.3 PHEMI Systems
14.3.4 Aircloak
14.3.5 Anonomatic
14.3.6 Precisely
14.3.7 Auric Systems International
14.3.8 AvePoint
14.3.9 Baffle
14.3.10 Anonos
14.3.11 Ekobit
14.3.12 BrighterAi
14.3.13 PlumCloud Labs
14.3.14 PKWARE
14.3.15 Thales Group
14.3.16 D-ID
14.3.17 ARCAD Software
14.3.18 Privacy1
14.3.19 HushHush
14.3.20 IBM
14.3.21 MENTISoftware
14.3.22 Immuta
14.3.23 Imperva
14.3.24 Informatica
14.3.25 Mentis
