Global Data De-identification Software Market Research Report 2023

Publication ID:

PB501236827

Publication Date:

January 23, 2023

Pages:

109

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

Highlights
The global Data De-identification Software market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Data De-identification Software is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Data De-identification Software is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Data De-identification Software in Individuals is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of Data De-identification Software include Aircloak, AvePoint, Anonos, Ekobit, Protegrity, Dataguise, Thales Group, ARCAD Software and IBM, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Data De-identification 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 Software.
The Data De-identification Software market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Data De-identification Software market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Data De-identification Software companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
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
Segment by Type
Cloud-Based
On-Premises
Segment by Application
Individuals
Enterprises
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Data De-identification Software companies鈥� competitive landscape, revenue 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, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Data De-identification 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 Software Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Individuals
1.3.3 Enterprises
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 Software Market Perspective (2018-2029)
2.2 Data De-identification Software Growth Trends by Region
2.2.1 Global Data De-identification Software Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Data De-identification Software Historic Market Size by Region (2018-2023)
2.2.3 Data De-identification Software Forecasted Market Size by Region (2024-2029)
2.3 Data De-identification Software Market Dynamics
2.3.1 Data De-identification Software Industry Trends
2.3.2 Data De-identification Software Market Drivers
2.3.3 Data De-identification Software Market Challenges
2.3.4 Data De-identification Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Data De-identification Software Players by Revenue
3.1.1 Global Top Data De-identification Software Players by Revenue (2018-2023)
3.1.2 Global Data De-identification Software Revenue Market Share by Players (2018-2023)
3.2 Global Data De-identification Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Data De-identification Software Revenue
3.4 Global Data De-identification Software Market Concentration Ratio
3.4.1 Global Data De-identification Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data De-identification Software Revenue in 2022
3.5 Data De-identification Software Key Players Head office and Area Served
3.6 Key Players Data De-identification Software Product Solution and Service
3.7 Date of Enter into Data De-identification Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Data De-identification Software Breakdown Data by Type
4.1 Global Data De-identification Software Historic Market Size by Type (2018-2023)
4.2 Global Data De-identification Software Forecasted Market Size by Type (2024-2029)
5 Data De-identification Software Breakdown Data by Application
5.1 Global Data De-identification Software Historic Market Size by Application (2018-2023)
5.2 Global Data De-identification Software Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Data De-identification Software Market Size (2018-2029)
6.2 North America Data De-identification Software Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Data De-identification Software Market Size by Country (2018-2023)
6.4 North America Data De-identification Software Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Data De-identification Software Market Size (2018-2029)
7.2 Europe Data De-identification Software Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Data De-identification Software Market Size by Country (2018-2023)
7.4 Europe Data De-identification 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 Software Market Size (2018-2029)
8.2 Asia-Pacific Data De-identification Software Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Data De-identification Software Market Size by Region (2018-2023)
8.4 Asia-Pacific Data De-identification 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 Software Market Size (2018-2029)
9.2 Latin America Data De-identification Software Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Data De-identification Software Market Size by Country (2018-2023)
9.4 Latin America Data De-identification 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 Software Market Size (2018-2029)
10.2 Middle East & Africa Data De-identification Software Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Data De-identification Software Market Size by Country (2018-2023)
10.4 Middle East & Africa Data De-identification Software Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Aircloak
11.1.1 Aircloak Company Detail
11.1.2 Aircloak Business Overview
11.1.3 Aircloak Data De-identification Software Introduction
11.1.4 Aircloak Revenue in Data De-identification Software Business (2018-2023)
11.1.5 Aircloak Recent Development
11.2 AvePoint
11.2.1 AvePoint Company Detail
11.2.2 AvePoint Business Overview
11.2.3 AvePoint Data De-identification Software Introduction
11.2.4 AvePoint Revenue in Data De-identification Software Business (2018-2023)
11.2.5 AvePoint Recent Development
11.3 Anonos
11.3.1 Anonos Company Detail
11.3.2 Anonos Business Overview
11.3.3 Anonos Data De-identification Software Introduction
11.3.4 Anonos Revenue in Data De-identification Software Business (2018-2023)
11.3.5 Anonos Recent Development
11.4 Ekobit
11.4.1 Ekobit Company Detail
11.4.2 Ekobit Business Overview
11.4.3 Ekobit Data De-identification Software Introduction
11.4.4 Ekobit Revenue in Data De-identification Software Business (2018-2023)
11.4.5 Ekobit Recent Development
11.5 Protegrity
11.5.1 Protegrity Company Detail
11.5.2 Protegrity Business Overview
11.5.3 Protegrity Data De-identification Software Introduction
11.5.4 Protegrity Revenue in Data De-identification Software Business (2018-2023)
11.5.5 Protegrity Recent Development
11.6 Dataguise
11.6.1 Dataguise Company Detail
11.6.2 Dataguise Business Overview
11.6.3 Dataguise Data De-identification Software Introduction
11.6.4 Dataguise Revenue in Data De-identification Software Business (2018-2023)
11.6.5 Dataguise Recent Development
11.7 Thales Group
11.7.1 Thales Group Company Detail
11.7.2 Thales Group Business Overview
11.7.3 Thales Group Data De-identification Software Introduction
11.7.4 Thales Group Revenue in Data De-identification Software Business (2018-2023)
11.7.5 Thales Group 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 Software Introduction
11.8.4 ARCAD Software Revenue in Data De-identification Software Business (2018-2023)
11.8.5 ARCAD Software Recent Development
11.9 IBM
11.9.1 IBM Company Detail
11.9.2 IBM Business Overview
11.9.3 IBM Data De-identification Software Introduction
11.9.4 IBM Revenue in Data De-identification Software Business (2018-2023)
11.9.5 IBM Recent Development
11.10 MENTISoftware
11.10.1 MENTISoftware Company Detail
11.10.2 MENTISoftware Business Overview
11.10.3 MENTISoftware Data De-identification Software Introduction
11.10.4 MENTISoftware Revenue in Data De-identification Software Business (2018-2023)
11.10.5 MENTISoftware Recent Development
11.11 Imperva
11.11.1 Imperva Company Detail
11.11.2 Imperva Business Overview
11.11.3 Imperva Data De-identification Software Introduction
11.11.4 Imperva Revenue in Data De-identification Software Business (2018-2023)
11.11.5 Imperva Recent Development
11.12 Informatica
11.12.1 Informatica Company Detail
11.12.2 Informatica Business Overview
11.12.3 Informatica Data De-identification Software Introduction
11.12.4 Informatica Revenue in Data De-identification Software Business (2018-2023)
11.12.5 Informatica Recent Development
11.13 KI DESIGN
11.13.1 KI DESIGN Company Detail
11.13.2 KI DESIGN Business Overview
11.13.3 KI DESIGN Data De-identification Software Introduction
11.13.4 KI DESIGN Revenue in Data De-identification Software Business (2018-2023)
11.13.5 KI DESIGN Recent Development
11.14 Privacy Analytics
11.14.1 Privacy Analytics Company Detail
11.14.2 Privacy Analytics Business Overview
11.14.3 Privacy Analytics Data De-identification Software Introduction
11.14.4 Privacy Analytics Revenue in Data De-identification Software Business (2018-2023)
11.14.5 Privacy Analytics Recent Development
11.15 ContextSpace
11.15.1 ContextSpace Company Detail
11.15.2 ContextSpace Business Overview
11.15.3 ContextSpace Data De-identification Software Introduction
11.15.4 ContextSpace Revenue in Data De-identification Software Business (2018-2023)
11.15.5 ContextSpace Recent Development
11.16 Privitar
11.16.1 Privitar Company Detail
11.16.2 Privitar Business Overview
11.16.3 Privitar Data De-identification Software Introduction
11.16.4 Privitar Revenue in Data De-identification Software Business (2018-2023)
11.16.5 Privitar Recent Development
11.17 SecuPi
11.17.1 SecuPi Company Detail
11.17.2 SecuPi Business Overview
11.17.3 SecuPi Data De-identification Software Introduction
11.17.4 SecuPi Revenue in Data De-identification Software Business (2018-2023)
11.17.5 SecuPi Recent Development
11.18 Semele
11.18.1 Semele Company Detail
11.18.2 Semele Business Overview
11.18.3 Semele Data De-identification Software Introduction
11.18.4 Semele Revenue in Data De-identification Software Business (2018-2023)
11.18.5 Semele Recent Development
11.19 StratoKey
11.19.1 StratoKey Company Detail
11.19.2 StratoKey Business Overview
11.19.3 StratoKey Data De-identification Software Introduction
11.19.4 StratoKey Revenue in Data De-identification Software Business (2018-2023)
11.19.5 StratoKey Recent Development
11.20 TokenEx
11.20.1 TokenEx Company Detail
11.20.2 TokenEx Business Overview
11.20.3 TokenEx Data De-identification Software Introduction
11.20.4 TokenEx Revenue in Data De-identification Software Business (2018-2023)
11.20.5 TokenEx Recent Development
11.21 Truata
11.21.1 Truata Company Detail
11.21.2 Truata Business Overview
11.21.3 Truata Data De-identification Software Introduction
11.21.4 Truata Revenue in Data De-identification Software Business (2018-2023)
11.21.5 Truata Recent Development
11.22 Very Good Security
11.22.1 Very Good Security Company Detail
11.22.2 Very Good Security Business Overview
11.22.3 Very Good Security Data De-identification Software Introduction
11.22.4 Very Good Security Revenue in Data De-identification Software Business (2018-2023)
11.22.5 Very Good Security Recent Development
11.23 Wizuda
11.23.1 Wizuda Company Detail
11.23.2 Wizuda Business Overview
11.23.3 Wizuda Data De-identification Software Introduction
11.23.4 Wizuda Revenue in Data De-identification Software Business (2018-2023)
11.23.5 Wizuda 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

Companies Mentioned:

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

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