The most common technique to de-identify data in a dataset is through pseudonymization. Data de-identification/pseudonymization software replaces personal identifying data in datasets with artificial identifiers, or pseudonyms. Companies choose to de-identify or pseudonymize (also called tokenize) their data to reduce their risk of holding personally identifiable information and comply with privacy and data protection laws such as the CCPA and GDPR.
Data de-identification/pseudonymization software allows companies to use realistic, but not personally identifiable datasets. This protects the anonymity of data subjects whose personal identifying data, such as names, dates of birth, and other identifiers, are in the dataset. De-identification/pseudonymity solutions help companies derive value from datasets without compromising the privacy of the data subjects in a given dataset.
The global Data De-identification & Pseudonymity Software market size is projected to grow from US$ 1061 million in 2023 to US$ 1866.4 million in 2030; it is expected to grow at a CAGR of 8.4% from 2024 to 2030.
The 鈥淒ata De-identification & Pseudonymity Software Industry Forecast鈥� looks at past sales and reviews total world Data De-identification & Pseudonymity Software sales in 2023, providing a comprehensive analysis by region and market sector of projected Data De-identification & Pseudonymity Software sales for 2024 through 2030. With Data De-identification & Pseudonymity Software sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Data De-identification & Pseudonymity Software industry.
This Insight Report provides a comprehensive analysis of the global Data De-identification & Pseudonymity Software landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Data De-identification & Pseudonymity Software portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms鈥� unique position in an accelerating global Data De-identification & Pseudonymity Software market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Data De-identification & Pseudonymity Software and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Data De-identification & Pseudonymity Software.
Some of the future market trends of Data De-identification & Pseudonymity Software are:
Increasing demand for cloud-based solutions that can provide scalability, flexibility, and cost-effectiveness for data de-identification and pseudonymity.
Growing adoption of artificial intelligence and machine learning technologies that can enhance the efficiency and accuracy of data de-identification and pseudonymity processes.
Rising awareness and compliance with data privacy and protection regulations such as GDPR, CCPA, HIPAA, and others that require organizations to safeguard the personal data of their customers and employees.
Expanding use cases and applications of data de-identification and pseudonymity software in various industries such as healthcare, retail, banking, telecommunications, government, and others.
This report presents a comprehensive overview, market shares, and growth opportunities of Data De-identification & Pseudonymity Software market by product type, application, key players and key regions and countries.
Segmentation by type
Cloud-Based
On-Premises
Segmentation by application
Individual
Enterprise
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
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
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Scope of the Report
1.1 Market Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 Market Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 Market Estimation Caveats
2 Executive Summary
2.1 World Market Overview
2.1.1 Global Data De-identification & Pseudonymity Software Market Size 2019-2030
2.1.2 Data De-identification & Pseudonymity Software Market Size CAGR by Region 2019 VS 2023 VS 2030
2.2 Data De-identification & Pseudonymity Software Segment by Type
2.2.1 Cloud-Based
2.2.2 On-Premises
2.3 Data De-identification & Pseudonymity Software Market Size by Type
2.3.1 Data De-identification & Pseudonymity Software Market Size CAGR by Type (2019 VS 2023 VS 2030)
2.3.2 Global Data De-identification & Pseudonymity Software Market Size Market Share by Type (2019-2024)
2.4 Data De-identification & Pseudonymity Software Segment by Application
2.4.1 Individual
2.4.2 Enterprise
2.4.3 Others
2.5 Data De-identification & Pseudonymity Software Market Size by Application
2.5.1 Data De-identification & Pseudonymity Software Market Size CAGR by Application (2019 VS 2023 VS 2030)
2.5.2 Global Data De-identification & Pseudonymity Software Market Size Market Share by Application (2019-2024)
3 Data De-identification & Pseudonymity Software Market Size by Player
3.1 Data De-identification & Pseudonymity Software Market Size Market Share by Players
3.1.1 Global Data De-identification & Pseudonymity Software Revenue by Players (2019-2024)
3.1.2 Global Data De-identification & Pseudonymity Software Revenue Market Share by Players (2019-2024)
3.2 Global Data De-identification & Pseudonymity Software Key Players Head office and Products Offered
3.3 Market Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2022-2024)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Data De-identification & Pseudonymity Software by Regions
4.1 Data De-identification & Pseudonymity Software Market Size by Regions (2019-2024)
4.2 Americas Data De-identification & Pseudonymity Software Market Size Growth (2019-2024)
4.3 APAC Data De-identification & Pseudonymity Software Market Size Growth (2019-2024)
4.4 Europe Data De-identification & Pseudonymity Software Market Size Growth (2019-2024)
4.5 Middle East & Africa Data De-identification & Pseudonymity Software Market Size Growth (2019-2024)
5 Americas
5.1 Americas Data De-identification & Pseudonymity Software Market Size by Country (2019-2024)
5.2 Americas Data De-identification & Pseudonymity Software Market Size by Type (2019-2024)
5.3 Americas Data De-identification & Pseudonymity Software Market Size by Application (2019-2024)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Data De-identification & Pseudonymity Software Market Size by Region (2019-2024)
6.2 APAC Data De-identification & Pseudonymity Software Market Size by Type (2019-2024)
6.3 APAC Data De-identification & Pseudonymity Software Market Size by Application (2019-2024)
6.4 China
6.5 Japan
6.6 Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Data De-identification & Pseudonymity Software by Country (2019-2024)
7.2 Europe Data De-identification & Pseudonymity Software Market Size by Type (2019-2024)
7.3 Europe Data De-identification & Pseudonymity Software Market Size by Application (2019-2024)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Data De-identification & Pseudonymity Software by Region (2019-2024)
8.2 Middle East & Africa Data De-identification & Pseudonymity Software Market Size by Type (2019-2024)
8.3 Middle East & Africa Data De-identification & Pseudonymity Software Market Size by Application (2019-2024)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 Market Drivers, Challenges and Trends
9.1 Market Drivers & Growth Opportunities
9.2 Market Challenges & Risks
9.3 Industry Trends
10 Global Data De-identification & Pseudonymity Software Market Forecast
10.1 Global Data De-identification & Pseudonymity Software Forecast by Regions (2025-2030)
10.1.1 Global Data De-identification & Pseudonymity Software Forecast by Regions (2025-2030)
10.1.2 Americas Data De-identification & Pseudonymity Software Forecast
10.1.3 APAC Data De-identification & Pseudonymity Software Forecast
10.1.4 Europe Data De-identification & Pseudonymity Software Forecast
10.1.5 Middle East & Africa Data De-identification & Pseudonymity Software Forecast
10.2 Americas Data De-identification & Pseudonymity Software Forecast by Country (2025-2030)
10.2.1 United States Data De-identification & Pseudonymity Software Market Forecast
10.2.2 Canada Data De-identification & Pseudonymity Software Market Forecast
10.2.3 Mexico Data De-identification & Pseudonymity Software Market Forecast
10.2.4 Brazil Data De-identification & Pseudonymity Software Market Forecast
10.3 APAC Data De-identification & Pseudonymity Software Forecast by Region (2025-2030)
10.3.1 China Data De-identification & Pseudonymity Software Market Forecast
10.3.2 Japan Data De-identification & Pseudonymity Software Market Forecast
10.3.3 Korea Data De-identification & Pseudonymity Software Market Forecast
10.3.4 Southeast Asia Data De-identification & Pseudonymity Software Market Forecast
10.3.5 India Data De-identification & Pseudonymity Software Market Forecast
10.3.6 Australia Data De-identification & Pseudonymity Software Market Forecast
10.4 Europe Data De-identification & Pseudonymity Software Forecast by Country (2025-2030)
10.4.1 Germany Data De-identification & Pseudonymity Software Market Forecast
10.4.2 France Data De-identification & Pseudonymity Software Market Forecast
10.4.3 UK Data De-identification & Pseudonymity Software Market Forecast
10.4.4 Italy Data De-identification & Pseudonymity Software Market Forecast
10.4.5 Russia Data De-identification & Pseudonymity Software Market Forecast
10.5 Middle East & Africa Data De-identification & Pseudonymity Software Forecast by Region (2025-2030)
10.5.1 Egypt Data De-identification & Pseudonymity Software Market Forecast
10.5.2 South Africa Data De-identification & Pseudonymity Software Market Forecast
10.5.3 Israel Data De-identification & Pseudonymity Software Market Forecast
10.5.4 Turkey Data De-identification & Pseudonymity Software Market Forecast
10.5.5 GCC Countries Data De-identification & Pseudonymity Software Market Forecast
10.6 Global Data De-identification & Pseudonymity Software Forecast by Type (2025-2030)
10.7 Global Data De-identification & Pseudonymity Software Forecast by Application (2025-2030)
11 Key Players Analysis
11.1 Aircloak
11.1.1 Aircloak Company Information
11.1.2 Aircloak Data De-identification & Pseudonymity Software Product Offered
11.1.3 Aircloak Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.1.4 Aircloak Main Business Overview
11.1.5 Aircloak Latest Developments
11.2 AvePoint
11.2.1 AvePoint Company Information
11.2.2 AvePoint Data De-identification & Pseudonymity Software Product Offered
11.2.3 AvePoint Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.2.4 AvePoint Main Business Overview
11.2.5 AvePoint Latest Developments
11.3 Anonos
11.3.1 Anonos Company Information
11.3.2 Anonos Data De-identification & Pseudonymity Software Product Offered
11.3.3 Anonos Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.3.4 Anonos Main Business Overview
11.3.5 Anonos Latest Developments
11.4 Ekobit
11.4.1 Ekobit Company Information
11.4.2 Ekobit Data De-identification & Pseudonymity Software Product Offered
11.4.3 Ekobit Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.4.4 Ekobit Main Business Overview
11.4.5 Ekobit Latest Developments
11.5 Protegrity
11.5.1 Protegrity Company Information
11.5.2 Protegrity Data De-identification & Pseudonymity Software Product Offered
11.5.3 Protegrity Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.5.4 Protegrity Main Business Overview
11.5.5 Protegrity Latest Developments
11.6 Dataguise
11.6.1 Dataguise Company Information
11.6.2 Dataguise Data De-identification & Pseudonymity Software Product Offered
11.6.3 Dataguise Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.6.4 Dataguise Main Business Overview
11.6.5 Dataguise Latest Developments
11.7 Thales Group
11.7.1 Thales Group Company Information
11.7.2 Thales Group Data De-identification & Pseudonymity Software Product Offered
11.7.3 Thales Group Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.7.4 Thales Group Main Business Overview
11.7.5 Thales Group Latest Developments
11.8 ARCAD Software
11.8.1 ARCAD Software Company Information
11.8.2 ARCAD Software Data De-identification & Pseudonymity Software Product Offered
11.8.3 ARCAD Software Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.8.4 ARCAD Software Main Business Overview
11.8.5 ARCAD Software Latest Developments
11.9 IBM
11.9.1 IBM Company Information
11.9.2 IBM Data De-identification & Pseudonymity Software Product Offered
11.9.3 IBM Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.9.4 IBM Main Business Overview
11.9.5 IBM Latest Developments
11.10 MENTISoftware
11.10.1 MENTISoftware Company Information
11.10.2 MENTISoftware Data De-identification & Pseudonymity Software Product Offered
11.10.3 MENTISoftware Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.10.4 MENTISoftware Main Business Overview
11.10.5 MENTISoftware Latest Developments
11.11 Imperva
11.11.1 Imperva Company Information
11.11.2 Imperva Data De-identification & Pseudonymity Software Product Offered
11.11.3 Imperva Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.11.4 Imperva Main Business Overview
11.11.5 Imperva Latest Developments
11.12 Informatica
11.12.1 Informatica Company Information
11.12.2 Informatica Data De-identification & Pseudonymity Software Product Offered
11.12.3 Informatica Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.12.4 Informatica Main Business Overview
11.12.5 Informatica Latest Developments
11.13 KI DESIGN
11.13.1 KI DESIGN Company Information
11.13.2 KI DESIGN Data De-identification & Pseudonymity Software Product Offered
11.13.3 KI DESIGN Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.13.4 KI DESIGN Main Business Overview
11.13.5 KI DESIGN Latest Developments
11.14 Privacy Analytics
11.14.1 Privacy Analytics Company Information
11.14.2 Privacy Analytics Data De-identification & Pseudonymity Software Product Offered
11.14.3 Privacy Analytics Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.14.4 Privacy Analytics Main Business Overview
11.14.5 Privacy Analytics Latest Developments
11.15 ContextSpace
11.15.1 ContextSpace Company Information
11.15.2 ContextSpace Data De-identification & Pseudonymity Software Product Offered
11.15.3 ContextSpace Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.15.4 ContextSpace Main Business Overview
11.15.5 ContextSpace Latest Developments
11.16 Privitar
11.16.1 Privitar Company Information
11.16.2 Privitar Data De-identification & Pseudonymity Software Product Offered
11.16.3 Privitar Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.16.4 Privitar Main Business Overview
11.16.5 Privitar Latest Developments
11.17 SecuPi
11.17.1 SecuPi Company Information
11.17.2 SecuPi Data De-identification & Pseudonymity Software Product Offered
11.17.3 SecuPi Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.17.4 SecuPi Main Business Overview
11.17.5 SecuPi Latest Developments
11.18 Semele
11.18.1 Semele Company Information
11.18.2 Semele Data De-identification & Pseudonymity Software Product Offered
11.18.3 Semele Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.18.4 Semele Main Business Overview
11.18.5 Semele Latest Developments
11.19 StratoKey
11.19.1 StratoKey Company Information
11.19.2 StratoKey Data De-identification & Pseudonymity Software Product Offered
11.19.3 StratoKey Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.19.4 StratoKey Main Business Overview
11.19.5 StratoKey Latest Developments
11.20 TokenEx
11.20.1 TokenEx Company Information
11.20.2 TokenEx Data De-identification & Pseudonymity Software Product Offered
11.20.3 TokenEx Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.20.4 TokenEx Main Business Overview
11.20.5 TokenEx Latest Developments
11.21 Truata
11.21.1 Truata Company Information
11.21.2 Truata Data De-identification & Pseudonymity Software Product Offered
11.21.3 Truata Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.21.4 Truata Main Business Overview
11.21.5 Truata Latest Developments
11.22 Very Good Security
11.22.1 Very Good Security Company Information
11.22.2 Very Good Security Data De-identification & Pseudonymity Software Product Offered
11.22.3 Very Good Security Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.22.4 Very Good Security Main Business Overview
11.22.5 Very Good Security Latest Developments
11.23 Wizuda
11.23.1 Wizuda Company Information
11.23.2 Wizuda Data De-identification & Pseudonymity Software Product Offered
11.23.3 Wizuda Data De-identification & Pseudonymity Software Revenue, Gross Margin and Market Share (2019-2024)
11.23.4 Wizuda Main Business Overview
11.23.5 Wizuda Latest Developments
12 Research Findings and Conclusion
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*If Applicable.