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Global Data De-identification or Pseudonymity Software Market Research Report 2025

Global Data De-identification or Pseudonymity Software Market Research Report 2025

Publishing Date : Mar, 2025

License Type :
 

Report Code : 1706267

No of Pages : 98

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Synopsis
De-identification is the process used to prevent someone's personal identity from being revealed. 

Global Data De-identification or Pseudonymity Software market is projected to reach US$ 530.4 million in 2029, increasing from US$ 403 million in 2022, with the CAGR of 4.3% during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Data De-identification or Pseudonymity Software market research.

The global market for data de-identification or pseudonymity software refers to the market for software solutions designed to anonymize or de-identify sensitive data. Data de-identification involves removing or altering personally identifiable information (PII) from datasets while maintaining the data's utility for analysis and research purposes. Pseudonymization involves replacing identifiable information with pseudonyms or aliases. With the rise in data breaches and privacy concerns, organizations across various industries are focusing on safeguarding sensitive data. Data de-identification or pseudonymity software is being adopted as a means to protect personal information while enabling data analysis and sharing for research, analytics, and other purposes.

Regulatory Compliance and Data Protection Laws: Stringent data protection regulations, such as the General Data Protection Regulation (GDPR) in the European Union and the California Consumer Privacy Act (CCPA) in the United States, mandate the anonymization or pseudonymization of personal data. Organizations are adopting data de-identification software to achieve compliance with these regulations. Growing Adoption in Healthcare and Life Sciences: The healthcare and life sciences sectors handle vast amounts of sensitive personal data for research and analysis. Data de-identification or pseudonymity software is crucial in these industries to ensure patient privacy and comply with regulations such as the Health Insurance Portability and Accountability Act (HIPAA). These sectors are significant contributors to the demand for such software solutions. The development of advanced algorithms, such as differential privacy and generative models, has enhanced the capabilities of data de-identification and pseudonymity software. Machine learning techniques are being used to automate the process of anonymizing or pseudonymizing data, improving efficiency and accuracy. The adoption of cloud computing and the increasing need for data sharing among organizations has led to the demand for cloud-based data de-identification software. Cloud-based solutions offer scalability, flexibility, and ease of collaboration while maintaining data privacy.

Report Scope

This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Data De-identification or Pseudonymity Software market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.

By Company

  • TokenEx
  • Privacy Analytics
  • MENTISoftware
  • KI DESIGN
  • Thales Group
  • Semele
  • Imperva
  • ARCAD Software
  • Aircloak
  • AvePoint
  • BigID
  • Privitar
  • Orion Health
  • VGS Platform
  • Immuta
  • KIProtect Kodex

Segment by Type

  • Cloud-Based
  • On-Premises

Segment by Application

  • Individual
  • Enterprise
  • Others

By Region

  • North America (United States, Canada)
  • Europe (Germany, France, U.K., Italy, Russia)
  • Asia-Pacific (China, Japan, South Korea, India, Australia, China Taiwan, Indonesia, Thailand, Malaysia)
  • Latin America (Mexico, Brazil, Argentina, Colombia)

The Data De-identification or Pseudonymity Software report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies’ Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source

Index

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Data De-identification or Pseudonymity Software Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Cloud-Based
1.2.3 On-Premises
1.3 Market by Application
1.3.1 Global Data De-identification or Pseudonymity Software Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Individual
1.3.3 Enterprise
1.3.4 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Data De-identification or Pseudonymity Software Market Perspective (2018-2029)
2.2 Data De-identification or Pseudonymity Software Growth Trends by Region
2.2.1 Global Data De-identification or Pseudonymity Software Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Data De-identification or Pseudonymity Software Historic Market Size by Region (2018-2023)
2.2.3 Data De-identification or Pseudonymity Software Forecasted Market Size by Region (2024-2029)
2.3 Data De-identification or Pseudonymity Software Market Dynamics
2.3.1 Data De-identification or Pseudonymity Software Industry Trends
2.3.2 Data De-identification or Pseudonymity Software Market Drivers
2.3.3 Data De-identification or Pseudonymity Software Market Challenges
2.3.4 Data De-identification or Pseudonymity Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Data De-identification or Pseudonymity Software Players by Revenue
3.1.1 Global Top Data De-identification or Pseudonymity Software Players by Revenue (2018-2023)
3.1.2 Global Data De-identification or Pseudonymity Software Revenue Market Share by Players (2018-2023)
3.2 Global Data De-identification or Pseudonymity Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Data De-identification or Pseudonymity Software Revenue
3.4 Global Data De-identification or Pseudonymity Software Market Concentration Ratio
3.4.1 Global Data De-identification or Pseudonymity Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data De-identification or Pseudonymity Software Revenue in 2022
3.5 Data De-identification or Pseudonymity Software Key Players Head office and Area Served
3.6 Key Players Data De-identification or Pseudonymity Software Product Solution and Service
3.7 Date of Enter into Data De-identification or Pseudonymity Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Data De-identification or Pseudonymity Software Breakdown Data by Type
4.1 Global Data De-identification or Pseudonymity Software Historic Market Size by Type (2018-2023)
4.2 Global Data De-identification or Pseudonymity Software Forecasted Market Size by Type (2024-2029)
5 Data De-identification or Pseudonymity Software Breakdown Data by Application
5.1 Global Data De-identification or Pseudonymity Software Historic Market Size by Application (2018-2023)
5.2 Global Data De-identification or Pseudonymity Software Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Data De-identification or Pseudonymity Software Market Size (2018-2029)
6.2 North America Data De-identification or Pseudonymity Software Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Data De-identification or Pseudonymity Software Market Size by Country (2018-2023)
6.4 North America Data De-identification or Pseudonymity Software Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Data De-identification or Pseudonymity Software Market Size (2018-2029)
7.2 Europe Data De-identification or Pseudonymity Software Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Data De-identification or Pseudonymity Software Market Size by Country (2018-2023)
7.4 Europe Data De-identification or Pseudonymity Software Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Data De-identification or Pseudonymity Software Market Size (2018-2029)
8.2 Asia-Pacific Data De-identification or Pseudonymity Software Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Data De-identification or Pseudonymity Software Market Size by Region (2018-2023)
8.4 Asia-Pacific Data De-identification or Pseudonymity Software Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Data De-identification or Pseudonymity Software Market Size (2018-2029)
9.2 Latin America Data De-identification or Pseudonymity Software Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Data De-identification or Pseudonymity Software Market Size by Country (2018-2023)
9.4 Latin America Data De-identification or Pseudonymity Software Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Data De-identification or Pseudonymity Software Market Size (2018-2029)
10.2 Middle East & Africa Data De-identification or Pseudonymity Software Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Data De-identification or Pseudonymity Software Market Size by Country (2018-2023)
10.4 Middle East & Africa Data De-identification or Pseudonymity Software Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 TokenEx
11.1.1 TokenEx Company Detail
11.1.2 TokenEx Business Overview
11.1.3 TokenEx Data De-identification or Pseudonymity Software Introduction
11.1.4 TokenEx Revenue in Data De-identification or Pseudonymity Software Business (2018-2023)
11.1.5 TokenEx Recent Development
11.2 Privacy Analytics
11.2.1 Privacy Analytics Company Detail
11.2.2 Privacy Analytics Business Overview
11.2.3 Privacy Analytics Data De-identification or Pseudonymity Software Introduction
11.2.4 Privacy Analytics Revenue in Data De-identification or Pseudonymity Software Business (2018-2023)
11.2.5 Privacy Analytics Recent Development
11.3 MENTISoftware
11.3.1 MENTISoftware Company Detail
11.3.2 MENTISoftware Business Overview
11.3.3 MENTISoftware Data De-identification or Pseudonymity Software Introduction
11.3.4 MENTISoftware Revenue in Data De-identification or Pseudonymity Software Business (2018-2023)
11.3.5 MENTISoftware Recent Development
11.4 KI DESIGN
11.4.1 KI DESIGN Company Detail
11.4.2 KI DESIGN Business Overview
11.4.3 KI DESIGN Data De-identification or Pseudonymity Software Introduction
11.4.4 KI DESIGN Revenue in Data De-identification or Pseudonymity Software Business (2018-2023)
11.4.5 KI DESIGN Recent Development
11.5 Thales Group
11.5.1 Thales Group Company Detail
11.5.2 Thales Group Business Overview
11.5.3 Thales Group Data De-identification or Pseudonymity Software Introduction
11.5.4 Thales Group Revenue in Data De-identification or Pseudonymity Software Business (2018-2023)
11.5.5 Thales Group Recent Development
11.6 Semele
11.6.1 Semele Company Detail
11.6.2 Semele Business Overview
11.6.3 Semele Data De-identification or Pseudonymity Software Introduction
11.6.4 Semele Revenue in Data De-identification or Pseudonymity Software Business (2018-2023)
11.6.5 Semele Recent Development
11.7 Imperva
11.7.1 Imperva Company Detail
11.7.2 Imperva Business Overview
11.7.3 Imperva Data De-identification or Pseudonymity Software Introduction
11.7.4 Imperva Revenue in Data De-identification or Pseudonymity Software Business (2018-2023)
11.7.5 Imperva Recent Development
11.8 ARCAD Software
11.8.1 ARCAD Software Company Detail
11.8.2 ARCAD Software Business Overview
11.8.3 ARCAD Software Data De-identification or Pseudonymity Software Introduction
11.8.4 ARCAD Software Revenue in Data De-identification or Pseudonymity Software Business (2018-2023)
11.8.5 ARCAD Software Recent Development
11.9 Aircloak
11.9.1 Aircloak Company Detail
11.9.2 Aircloak Business Overview
11.9.3 Aircloak Data De-identification or Pseudonymity Software Introduction
11.9.4 Aircloak Revenue in Data De-identification or Pseudonymity Software Business (2018-2023)
11.9.5 Aircloak Recent Development
11.10 AvePoint
11.10.1 AvePoint Company Detail
11.10.2 AvePoint Business Overview
11.10.3 AvePoint Data De-identification or Pseudonymity Software Introduction
11.10.4 AvePoint Revenue in Data De-identification or Pseudonymity Software Business (2018-2023)
11.10.5 AvePoint Recent Development
11.11 BigID
11.11.1 BigID Company Detail
11.11.2 BigID Business Overview
11.11.3 BigID Data De-identification or Pseudonymity Software Introduction
11.11.4 BigID Revenue in Data De-identification or Pseudonymity Software Business (2018-2023)
11.11.5 BigID Recent Development
11.12 Privitar
11.12.1 Privitar Company Detail
11.12.2 Privitar Business Overview
11.12.3 Privitar Data De-identification or Pseudonymity Software Introduction
11.12.4 Privitar Revenue in Data De-identification or Pseudonymity Software Business (2018-2023)
11.12.5 Privitar Recent Development
11.13 Orion Health
11.13.1 Orion Health Company Detail
11.13.2 Orion Health Business Overview
11.13.3 Orion Health Data De-identification or Pseudonymity Software Introduction
11.13.4 Orion Health Revenue in Data De-identification or Pseudonymity Software Business (2018-2023)
11.13.5 Orion Health Recent Development
11.14 VGS Platform
11.14.1 VGS Platform Company Detail
11.14.2 VGS Platform Business Overview
11.14.3 VGS Platform Data De-identification or Pseudonymity Software Introduction
11.14.4 VGS Platform Revenue in Data De-identification or Pseudonymity Software Business (2018-2023)
11.14.5 VGS Platform Recent Development
11.15 Immuta
11.15.1 Immuta Company Detail
11.15.2 Immuta Business Overview
11.15.3 Immuta Data De-identification or Pseudonymity Software Introduction
11.15.4 Immuta Revenue in Data De-identification or Pseudonymity Software Business (2018-2023)
11.15.5 Immuta Recent Development
11.16 KIProtect Kodex
11.16.1 KIProtect Kodex Company Detail
11.16.2 KIProtect Kodex Business Overview
11.16.3 KIProtect Kodex Data De-identification or Pseudonymity Software Introduction
11.16.4 KIProtect Kodex Revenue in Data De-identification or Pseudonymity Software Business (2018-2023)
11.16.5 KIProtect Kodex Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Published By : QY Research

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