Report overview
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.
This report aims to provide a comprehensive presentation of the global market for Data De-identification & Pseudonymity Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data De-identification & Pseudonymity Software. This report contains market size and forecasts of Data De-identification & Pseudonymity Software in global, including the following market information:
Global Data De-identification & Pseudonymity Software Market Revenue, 2018-2023, 2024-2030, ($ millions)
Global top five companies in 2022 (%)
The global Data De-identification & Pseudonymity Software market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Cloud-Based Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Data De-identification & Pseudonymity Software include Aircloak, AvePoint, Anonos, Ekobit, Protegrity, Dataguise, Thales Group, ARCAD Software and IBM, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Data De-identification & Pseudonymity Software companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Data De-identification & Pseudonymity Software Market, by Type, 2018-2023, 2024-2030 ($ millions)
Global Data De-identification & Pseudonymity Software Market Segment Percentages, by Type, 2022 (%)
Cloud-Based
On-Premises
Global Data De-identification & Pseudonymity Software Market, by Application, 2018-2023, 2024-2030 ($ millions)
Global Data De-identification & Pseudonymity Software Market Segment Percentages, by Application, 2022 (%)
Individual
Enterprise
Others
Global Data De-identification & Pseudonymity Software Market, By Region and Country, 2018-2023, 2024-2030 ($ Millions)
Global Data De-identification & Pseudonymity Software Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Data De-identification & Pseudonymity Software revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Data De-identification & Pseudonymity Software revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
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
Outline of Major Chapters:
Chapter 1: Introduces the definition of Data De-identification & Pseudonymity Software, market overview.
Chapter 2: Global Data De-identification & Pseudonymity Software market size in revenue.
Chapter 3: Detailed analysis of Data De-identification & Pseudonymity Software company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of Data De-identification & Pseudonymity Software in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
