Global Data De-Identification Tools Market Research Report 2024

Publication ID:

PB505243183

Publication Date:

June 1, 2024

Pages:

102

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

Data de-identification tool is a tool used to protect personal privacy and data security. It processes data to remove or replace sensitive information so that the data no longer contains personally identifiable information during transmission, storage and processing. Information. Data de-identification tools usually use technical means such as data desensitization, data anonymization, and data encryption to ensure that personal privacy information will not be leaked during data use. Data de-identification tools play an important role in the fields of data sharing, data analysis and data mining, and can help organizations and individuals process and share data more securely while complying with privacy regulations. Common data de-identification tools include data desensitization tools, data anonymization tools, and data encryption tools.
The global Data De-Identification Tools market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for Data De-Identification Tools is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Data De-Identification Tools is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Data De-Identification Tools in Large Enterprises is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Data De-Identification Tools include IBM, Private AI, Kiprotect, Salesforce, Evervault, Tonic.ai, Informatica, brighter AI, Very Good Security, PrivacyOne, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Data De-Identification Tools, 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 Tools.
The Data De-Identification Tools market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Data De-Identification Tools 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 Tools 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.
Market Segmentation
By Company
IBM
Private AI
Kiprotect
Salesforce
Evervault
Tonic.ai
Informatica
brighter AI
Very Good Security
PrivacyOne
Aircloak Insights
Mage Data
BizDataX
Baffle
Anonomatic
Nymiz
Anonos
Babel Obfuscator
Privacy Analytics
RansomDataProtect
Thales
Truata
Tumult Analytics
Wizuda
Segment by Type
Cloud-based
On-premise
Segment by Application
Large Enterprises
SMEs
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 Tools company 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 main companies in the market in detail, including product sales, revenue, price, 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 Tools Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud-based
1.2.3 On-premise
1.3 Market by Application
1.3.1 Global Data De-Identification Tools Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Data De-Identification Tools Market Perspective (2019-2030)
2.2 Global Data De-Identification Tools Growth Trends by Region
2.2.1 Global Data De-Identification Tools Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Data De-Identification Tools Historic Market Size by Region (2019-2024)
2.2.3 Data De-Identification Tools Forecasted Market Size by Region (2025-2030)
2.3 Data De-Identification Tools Market Dynamics
2.3.1 Data De-Identification Tools Industry Trends
2.3.2 Data De-Identification Tools Market Drivers
2.3.3 Data De-Identification Tools Market Challenges
2.3.4 Data De-Identification Tools Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Data De-Identification Tools Players by Revenue
3.1.1 Global Top Data De-Identification Tools Players by Revenue (2019-2024)
3.1.2 Global Data De-Identification Tools Revenue Market Share by Players (2019-2024)
3.2 Global Data De-Identification Tools Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Data De-Identification Tools Revenue
3.4 Global Data De-Identification Tools Market Concentration Ratio
3.4.1 Global Data De-Identification Tools Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data De-Identification Tools Revenue in 2023
3.5 Global Key Players of Data De-Identification Tools Head office and Area Served
3.6 Global Key Players of Data De-Identification Tools, Product and Application
3.7 Global Key Players of Data De-Identification Tools, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Data De-Identification Tools Breakdown Data by Type
4.1 Global Data De-Identification Tools Historic Market Size by Type (2019-2024)
4.2 Global Data De-Identification Tools Forecasted Market Size by Type (2025-2030)
5 Data De-Identification Tools Breakdown Data by Application
5.1 Global Data De-Identification Tools Historic Market Size by Application (2019-2024)
5.2 Global Data De-Identification Tools Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Data De-Identification Tools Market Size (2019-2030)
6.2 North America Data De-Identification Tools Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Data De-Identification Tools Market Size by Country (2019-2024)
6.4 North America Data De-Identification Tools Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Data De-Identification Tools Market Size (2019-2030)
7.2 Europe Data De-Identification Tools Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Data De-Identification Tools Market Size by Country (2019-2024)
7.4 Europe Data De-Identification Tools Market Size by Country (2025-2030)
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 Tools Market Size (2019-2030)
8.2 Asia-Pacific Data De-Identification Tools Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Data De-Identification Tools Market Size by Region (2019-2024)
8.4 Asia-Pacific Data De-Identification Tools Market Size by Region (2025-2030)
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 Tools Market Size (2019-2030)
9.2 Latin America Data De-Identification Tools Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Data De-Identification Tools Market Size by Country (2019-2024)
9.4 Latin America Data De-Identification Tools Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Data De-Identification Tools Market Size (2019-2030)
10.2 Middle East & Africa Data De-Identification Tools Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Data De-Identification Tools Market Size by Country (2019-2024)
10.4 Middle East & Africa Data De-Identification Tools Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Details
11.1.2 IBM Business Overview
11.1.3 IBM Data De-Identification Tools Introduction
11.1.4 IBM Revenue in Data De-Identification Tools Business (2019-2024)
11.1.5 IBM Recent Development
11.2 Private AI
11.2.1 Private AI Company Details
11.2.2 Private AI Business Overview
11.2.3 Private AI Data De-Identification Tools Introduction
11.2.4 Private AI Revenue in Data De-Identification Tools Business (2019-2024)
11.2.5 Private AI Recent Development
11.3 Kiprotect
11.3.1 Kiprotect Company Details
11.3.2 Kiprotect Business Overview
11.3.3 Kiprotect Data De-Identification Tools Introduction
11.3.4 Kiprotect Revenue in Data De-Identification Tools Business (2019-2024)
11.3.5 Kiprotect Recent Development
11.4 Salesforce
11.4.1 Salesforce Company Details
11.4.2 Salesforce Business Overview
11.4.3 Salesforce Data De-Identification Tools Introduction
11.4.4 Salesforce Revenue in Data De-Identification Tools Business (2019-2024)
11.4.5 Salesforce Recent Development
11.5 Evervault
11.5.1 Evervault Company Details
11.5.2 Evervault Business Overview
11.5.3 Evervault Data De-Identification Tools Introduction
11.5.4 Evervault Revenue in Data De-Identification Tools Business (2019-2024)
11.5.5 Evervault Recent Development
11.6 Tonic.ai
11.6.1 Tonic.ai Company Details
11.6.2 Tonic.ai Business Overview
11.6.3 Tonic.ai Data De-Identification Tools Introduction
11.6.4 Tonic.ai Revenue in Data De-Identification Tools Business (2019-2024)
11.6.5 Tonic.ai Recent Development
11.7 Informatica
11.7.1 Informatica Company Details
11.7.2 Informatica Business Overview
11.7.3 Informatica Data De-Identification Tools Introduction
11.7.4 Informatica Revenue in Data De-Identification Tools Business (2019-2024)
11.7.5 Informatica Recent Development
11.8 brighter AI
11.8.1 brighter AI Company Details
11.8.2 brighter AI Business Overview
11.8.3 brighter AI Data De-Identification Tools Introduction
11.8.4 brighter AI Revenue in Data De-Identification Tools Business (2019-2024)
11.8.5 brighter AI Recent Development
11.9 Very Good Security
11.9.1 Very Good Security Company Details
11.9.2 Very Good Security Business Overview
11.9.3 Very Good Security Data De-Identification Tools Introduction
11.9.4 Very Good Security Revenue in Data De-Identification Tools Business (2019-2024)
11.9.5 Very Good Security Recent Development
11.10 PrivacyOne
11.10.1 PrivacyOne Company Details
11.10.2 PrivacyOne Business Overview
11.10.3 PrivacyOne Data De-Identification Tools Introduction
11.10.4 PrivacyOne Revenue in Data De-Identification Tools Business (2019-2024)
11.10.5 PrivacyOne Recent Development
11.11 Aircloak Insights
11.11.1 Aircloak Insights Company Details
11.11.2 Aircloak Insights Business Overview
11.11.3 Aircloak Insights Data De-Identification Tools Introduction
11.11.4 Aircloak Insights Revenue in Data De-Identification Tools Business (2019-2024)
11.11.5 Aircloak Insights Recent Development
11.12 Mage Data
11.12.1 Mage Data Company Details
11.12.2 Mage Data Business Overview
11.12.3 Mage Data Data De-Identification Tools Introduction
11.12.4 Mage Data Revenue in Data De-Identification Tools Business (2019-2024)
11.12.5 Mage Data Recent Development
11.13 BizDataX
11.13.1 BizDataX Company Details
11.13.2 BizDataX Business Overview
11.13.3 BizDataX Data De-Identification Tools Introduction
11.13.4 BizDataX Revenue in Data De-Identification Tools Business (2019-2024)
11.13.5 BizDataX Recent Development
11.14 Baffle
11.14.1 Baffle Company Details
11.14.2 Baffle Business Overview
11.14.3 Baffle Data De-Identification Tools Introduction
11.14.4 Baffle Revenue in Data De-Identification Tools Business (2019-2024)
11.14.5 Baffle Recent Development
11.15 Anonomatic
11.15.1 Anonomatic Company Details
11.15.2 Anonomatic Business Overview
11.15.3 Anonomatic Data De-Identification Tools Introduction
11.15.4 Anonomatic Revenue in Data De-Identification Tools Business (2019-2024)
11.15.5 Anonomatic Recent Development
11.16 Nymiz
11.16.1 Nymiz Company Details
11.16.2 Nymiz Business Overview
11.16.3 Nymiz Data De-Identification Tools Introduction
11.16.4 Nymiz Revenue in Data De-Identification Tools Business (2019-2024)
11.16.5 Nymiz Recent Development
11.17 Anonos
11.17.1 Anonos Company Details
11.17.2 Anonos Business Overview
11.17.3 Anonos Data De-Identification Tools Introduction
11.17.4 Anonos Revenue in Data De-Identification Tools Business (2019-2024)
11.17.5 Anonos Recent Development
11.18 Babel Obfuscator
11.18.1 Babel Obfuscator Company Details
11.18.2 Babel Obfuscator Business Overview
11.18.3 Babel Obfuscator Data De-Identification Tools Introduction
11.18.4 Babel Obfuscator Revenue in Data De-Identification Tools Business (2019-2024)
11.18.5 Babel Obfuscator Recent Development
11.19 Privacy Analytics
11.19.1 Privacy Analytics Company Details
11.19.2 Privacy Analytics Business Overview
11.19.3 Privacy Analytics Data De-Identification Tools Introduction
11.19.4 Privacy Analytics Revenue in Data De-Identification Tools Business (2019-2024)
11.19.5 Privacy Analytics Recent Development
11.20 RansomDataProtect
11.20.1 RansomDataProtect Company Details
11.20.2 RansomDataProtect Business Overview
11.20.3 RansomDataProtect Data De-Identification Tools Introduction
11.20.4 RansomDataProtect Revenue in Data De-Identification Tools Business (2019-2024)
11.20.5 RansomDataProtect Recent Development
11.21 Thales
11.21.1 Thales Company Details
11.21.2 Thales Business Overview
11.21.3 Thales Data De-Identification Tools Introduction
11.21.4 Thales Revenue in Data De-Identification Tools Business (2019-2024)
11.21.5 Thales Recent Development
11.22 Truata
11.22.1 Truata Company Details
11.22.2 Truata Business Overview
11.22.3 Truata Data De-Identification Tools Introduction
11.22.4 Truata Revenue in Data De-Identification Tools Business (2019-2024)
11.22.5 Truata Recent Development
11.23 Tumult Analytics
11.23.1 Tumult Analytics Company Details
11.23.2 Tumult Analytics Business Overview
11.23.3 Tumult Analytics Data De-Identification Tools Introduction
11.23.4 Tumult Analytics Revenue in Data De-Identification Tools Business (2019-2024)
11.23.5 Tumult Analytics Recent Development
11.24 Wizuda
11.24.1 Wizuda Company Details
11.24.2 Wizuda Business Overview
11.24.3 Wizuda Data De-Identification Tools Introduction
11.24.4 Wizuda Revenue in Data De-Identification Tools Business (2019-2024)
11.24.5 Wizuda Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

IBM
Private AI
Kiprotect
Salesforce
Evervault
Tonic.ai
Informatica
brighter AI
Very Good Security
PrivacyOne
Aircloak Insights
Mage Data
BizDataX
Baffle
Anonomatic
Nymiz
Anonos
Babel Obfuscator
Privacy Analytics
RansomDataProtect
Thales
Truata
Tumult Analytics
Wizuda

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