Global Data Classification Tool 麻豆原创 Research Report 2024

Publication ID:

PB503245020

Publication Date:

March 25, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

Internet [2]

Computing & Electronics [3]

Description:

A data classification tool is software or a system that automates the process of categorizing and organizing data based on predefined rules or criteria. It helps businesses and organizations classify their data into different categories or labels, making it easier to manage, protect, and extract valuable insights from the data.
The primary purpose of a data classification tool is to facilitate the identification and tagging of data based on specific attributes such as sensitivity, content type, confidentiality level, or regulatory compliance. By assigning classifications to data, organizations can apply appropriate security controls, retention policies, access permissions, and data handling procedures to ensure compliance with legal, regulatory, and internal requirements.
The global Data Classification Tool market was valued at US$ 8950 million in 2023 and is anticipated to reach US$ 19750 million by 2030, witnessing a CAGR of 11.3% during the forecast period 2024-2030.
The global data classification tool market has been growing steadily in recent years due to the increasing need for data protection, compliance with regulations, and efficient data management practices. Data classification tools play a crucial role in helping organizations identify, classify, and secure their data based on predefined policies, ensuring data confidentiality, integrity, and availability.
Several factors contribute to the growth of the global data classification tool market:
Increasing Data Privacy Concerns: With the rising number of data breaches and privacy regulations, organizations are looking for ways to protect their sensitive data. Data classification tools enable organizations to identify and classify sensitive data, apply appropriate security controls, and achieve compliance with data privacy regulations such as GDPR, CCPA, and HIPAA.
Growing Adoption of Cloud Computing: The shift towards cloud-based infrastructures and services has created the need for data classification tools that can help organizations manage and secure data across on-premises and cloud environments. These tools facilitate consistent data classification and protection measures across various data storage and processing platforms.
Emphasis on Data Governance and Risk Management: Organizations are increasingly realizing the importance of effective data governance and risk management practices. Data classification tools aid in defining data handling policies, implementing access controls, and mitigating data-related risks, ensuring data is properly managed throughout its lifecycle.
Industry and Regulatory Compliance Requirements: Various industries, such as finance, healthcare, and government, have specific data classification requirements mandated by industry standards and regulations. Data classification tools cater to these compliance needs and help organizations classify data accordingly.
Digital Transformation Initiatives: As organizations undergo digital transformation, they need to manage and classify large volumes of structured and unstructured data. Data classification tools enable efficient data discovery, categorization, and organization, supporting data-driven decision-making and analytics initiatives.
Increasing Volume and Complexity of Data: With the exponential growth of data, organizations face challenges in understanding and effectively managing their data assets. Data classification tools assist in automatically analyzing and categorizing large volumes of data based on defined criteria, streamlining data management processes.
The global data classification tool market is influenced by factors such as technological advancements, regulatory developments, industry trends, and the evolving data security landscape. 麻豆原创 dynamics may vary by region, with different regions having unique drivers and adoption rates.
This report aims to provide a comprehensive presentation of the global market for Data Classification Tool, 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 Classification Tool.
Report Scope
The Data Classification Tool market size, estimations, and forecasts are provided in terms of 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 Classification Tool 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 Classification Tool companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
Microsoft
Broadcom Inc.
Fortra
Varonis
Digital Guardian
McAfee
Netwrix Corporation
DataGuise, Inc
Spirion, LLC
TITUS Inc
HANDD Business Solutions Ltd
Ohalo
Novacoast, Inc
GTB Technologies, Inc.
Segment by Type
Small and Medium-sized Enterprises
Large Enterprises
Segment by Application
BFSI
IT and telecommunications
Government and Defense
Healthcare
Retail
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
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 Classification Tool 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 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.

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Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Data Classification Tool 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Small and Medium-sized Enterprises
1.2.3 Large Enterprises
1.3 麻豆原创 by Application
1.3.1 Global Data Classification Tool 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 BFSI
1.3.3 IT and telecommunications
1.3.4 Government and Defense
1.3.5 Healthcare
1.3.6 Retail
1.3.7 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Data Classification Tool 麻豆原创 Perspective (2019-2030)
2.2 Data Classification Tool Growth Trends by Region
2.2.1 Global Data Classification Tool 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Data Classification Tool Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Data Classification Tool Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Data Classification Tool 麻豆原创 Dynamics
2.3.1 Data Classification Tool Industry Trends
2.3.2 Data Classification Tool 麻豆原创 Drivers
2.3.3 Data Classification Tool 麻豆原创 Challenges
2.3.4 Data Classification Tool 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Data Classification Tool Players by Revenue
3.1.1 Global Top Data Classification Tool Players by Revenue (2019-2024)
3.1.2 Global Data Classification Tool Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Data Classification Tool 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Data Classification Tool Revenue
3.4 Global Data Classification Tool 麻豆原创 Concentration Ratio
3.4.1 Global Data Classification Tool 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data Classification Tool Revenue in 2023
3.5 Data Classification Tool Key Players Head office and Area Served
3.6 Key Players Data Classification Tool Product Solution and Service
3.7 Date of Enter into Data Classification Tool 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 Data Classification Tool Breakdown Data by Type
4.1 Global Data Classification Tool Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Data Classification Tool Forecasted 麻豆原创 Size by Type (2025-2030)
5 Data Classification Tool Breakdown Data by Application
5.1 Global Data Classification Tool Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Data Classification Tool Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Data Classification Tool 麻豆原创 Size (2019-2030)
6.2 North America Data Classification Tool 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Data Classification Tool 麻豆原创 Size by Country (2019-2024)
6.4 North America Data Classification Tool 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Data Classification Tool 麻豆原创 Size (2019-2030)
7.2 Europe Data Classification Tool 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Data Classification Tool 麻豆原创 Size by Country (2019-2024)
7.4 Europe Data Classification Tool 麻豆原创 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 Classification Tool 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific Data Classification Tool 麻豆原创 Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Data Classification Tool 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific Data Classification Tool 麻豆原创 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 Classification Tool 麻豆原创 Size (2019-2030)
9.2 Latin America Data Classification Tool 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Data Classification Tool 麻豆原创 Size by Country (2019-2024)
9.4 Latin America Data Classification Tool 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Data Classification Tool 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa Data Classification Tool 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Data Classification Tool 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa Data Classification Tool 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Microsoft
11.1.1 Microsoft Company Detail
11.1.2 Microsoft Business Overview
11.1.3 Microsoft Data Classification Tool Introduction
11.1.4 Microsoft Revenue in Data Classification Tool Business (2019-2024)
11.1.5 Microsoft Recent Development
11.2 Broadcom Inc.
11.2.1 Broadcom Inc. Company Detail
11.2.2 Broadcom Inc. Business Overview
11.2.3 Broadcom Inc. Data Classification Tool Introduction
11.2.4 Broadcom Inc. Revenue in Data Classification Tool Business (2019-2024)
11.2.5 Broadcom Inc. Recent Development
11.3 Fortra
11.3.1 Fortra Company Detail
11.3.2 Fortra Business Overview
11.3.3 Fortra Data Classification Tool Introduction
11.3.4 Fortra Revenue in Data Classification Tool Business (2019-2024)
11.3.5 Fortra Recent Development
11.4 Varonis
11.4.1 Varonis Company Detail
11.4.2 Varonis Business Overview
11.4.3 Varonis Data Classification Tool Introduction
11.4.4 Varonis Revenue in Data Classification Tool Business (2019-2024)
11.4.5 Varonis Recent Development
11.5 Digital Guardian
11.5.1 Digital Guardian Company Detail
11.5.2 Digital Guardian Business Overview
11.5.3 Digital Guardian Data Classification Tool Introduction
11.5.4 Digital Guardian Revenue in Data Classification Tool Business (2019-2024)
11.5.5 Digital Guardian Recent Development
11.6 McAfee
11.6.1 McAfee Company Detail
11.6.2 McAfee Business Overview
11.6.3 McAfee Data Classification Tool Introduction
11.6.4 McAfee Revenue in Data Classification Tool Business (2019-2024)
11.6.5 McAfee Recent Development
11.7 Netwrix Corporation
11.7.1 Netwrix Corporation Company Detail
11.7.2 Netwrix Corporation Business Overview
11.7.3 Netwrix Corporation Data Classification Tool Introduction
11.7.4 Netwrix Corporation Revenue in Data Classification Tool Business (2019-2024)
11.7.5 Netwrix Corporation Recent Development
11.8 DataGuise, Inc
11.8.1 DataGuise, Inc Company Detail
11.8.2 DataGuise, Inc Business Overview
11.8.3 DataGuise, Inc Data Classification Tool Introduction
11.8.4 DataGuise, Inc Revenue in Data Classification Tool Business (2019-2024)
11.8.5 DataGuise, Inc Recent Development
11.9 Spirion, LLC
11.9.1 Spirion, LLC Company Detail
11.9.2 Spirion, LLC Business Overview
11.9.3 Spirion, LLC Data Classification Tool Introduction
11.9.4 Spirion, LLC Revenue in Data Classification Tool Business (2019-2024)
11.9.5 Spirion, LLC Recent Development
11.10 TITUS Inc
11.10.1 TITUS Inc Company Detail
11.10.2 TITUS Inc Business Overview
11.10.3 TITUS Inc Data Classification Tool Introduction
11.10.4 TITUS Inc Revenue in Data Classification Tool Business (2019-2024)
11.10.5 TITUS Inc Recent Development
11.11 HANDD Business Solutions Ltd
11.11.1 HANDD Business Solutions Ltd Company Detail
11.11.2 HANDD Business Solutions Ltd Business Overview
11.11.3 HANDD Business Solutions Ltd Data Classification Tool Introduction
11.11.4 HANDD Business Solutions Ltd Revenue in Data Classification Tool Business (2019-2024)
11.11.5 HANDD Business Solutions Ltd Recent Development
11.12 Ohalo
11.12.1 Ohalo Company Detail
11.12.2 Ohalo Business Overview
11.12.3 Ohalo Data Classification Tool Introduction
11.12.4 Ohalo Revenue in Data Classification Tool Business (2019-2024)
11.12.5 Ohalo Recent Development
11.13 Novacoast, Inc
11.13.1 Novacoast, Inc Company Detail
11.13.2 Novacoast, Inc Business Overview
11.13.3 Novacoast, Inc Data Classification Tool Introduction
11.13.4 Novacoast, Inc Revenue in Data Classification Tool Business (2019-2024)
11.13.5 Novacoast, Inc Recent Development
11.14 GTB Technologies, Inc.
11.14.1 GTB Technologies, Inc. Company Detail
11.14.2 GTB Technologies, Inc. Business Overview
11.14.3 GTB Technologies, Inc. Data Classification Tool Introduction
11.14.4 GTB Technologies, Inc. Revenue in Data Classification Tool Business (2019-2024)
11.14.5 GTB Technologies, Inc. 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:

Microsoft
Broadcom Inc.
Fortra
Varonis
Digital Guardian
McAfee
Netwrix Corporation
DataGuise, Inc
Spirion, LLC
TITUS Inc
HANDD Business Solutions Ltd
Ohalo
Novacoast, Inc
GTB Technologies, Inc.

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