Data Classification Market Synopsis:
Data Classification Market Size Was Valued at USD 1.47 Billion in 2023 and is Projected to Reach USD 22.19 Billion by 2032, Growing at a CAGR of 35.2 % From 2024-2032.
The total offering of tools and services designed to categorize data depending on the type or levels of sensitivity, relevance, or importance to the organization. It examines data as a process of labeling data in a bid to actualize the predetermined laws or data safety and enhanced performance. Information categorization is an important area of the present-day large-volume big data and analytics business environment to handle large volumes of information together with preventing all possible exposure to information loss and other such undesirable incidents. It is aimed at sectors like IT, health care, B&F and the government for secure and customized use of data.
The global data classification market has grown and spread widely in its demand to improve solutions for managing data due to the loss and the implementation of laws, such as GDPR, HIPAA, and CCPA. Many companies across industries turn to tools implementing a system of classification of their data for the enhancement of data awareness, enhanced control, and data protection by users. Furthermore, the continuous introduction of digital disruption in organizations’ contexts and the cloud improves the functionality of addressing data complexity to manage the applied environment.
Also, the market is receiving a proactive contribution from the growing prospects of AI and Machine learning that enhance the categorization of data. Automated classification solutions are gradually and stepwise being adopted and used by organizations to analyze large amounts of information while maintaining the highest possible accuracy. Due to the persistent nature of the need for data security as well as compliance, the demand for better and faster classification technologies is likely to continue to drive growth within the market over the course of the forecast period.
Data Classification Market Trend Analysis:
The Integration of AI and Machine Learning in Data Classification
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AI and machine learning is the most observed trend in the data classification market, Natural Language Processing (NLP) is used. With the help of specialized functions incorporated in technologies, it is possible to classify data without spending much time and with little chance of making a mistake. The use of intelligent automation techniques helps treat big data, discover patterns and sort the info and do it more efficiently and in less time. Additionally, there are aspects like predictive analytics over these technologies; by doing so, organisations will get an idea about the security threat in advance and can perform the action accordingly. AI and ML have even higher prospects of usage in data classification since many corporations are in the lookout for a smart way to begin handling their data.
Rising Focus on Regulatory Compliance
- The trends observed in market evolution reveal important sales growth factors in the market for data classification, including the growing focus on compliance with regulations. There are multiple regulations organisations have to meet, like GDPR in Europe, HIPAA for health sector, CCPA in united states. Data classification solutions were aimed at enabling business organizations to recognize areas of sensitive information and avoid violating these standards, which entail costly fines. With new and changing regulatory environment, specific classification needs are set to increase which will open up further opportunities for vendors to build new compliance-based products.
Data Classification Market Segment Analysis:
Data Classification Market is Segmented on the basis of component, deployment, end user, and Region.
By Component, Solution segment is expected to dominate the market during the forecast period
- The Solution segment seems to hold the largest share in the data classification market during the forecast period owing to the effective software solutions that are being implemented to manage and organize data classification effectively. The emerging solutions include features like real-time data tagging, classification policies and approaches, and compatibility with existing IT solutions, which makes them valuable for various industries. With organizations becoming more security and standards-conscious about protecting and handling big data, reference-based solutions are increasingly important for organizations to adopt for large, heterogenic data environments and mitigating operational risks.
By Deployment, the Cloud-based segment is expected to held the largest share
- The Cloud-based segment could dominate the market for data classification due to its worldwide application and embracing nature and due to the rapid increase in the utilization of cost-efficient scalable cloud-based solutions. Cloud-based classification tools therefore are mobile, web web-based, and can easily integrate with storage infrastructures in the cloud, making them appropriate for the modern business world. The path to hybrid and multi-cloud is extending the need for classification solutions within a variety of systems only grows. Moreover, an increased interest in a secure market for cloud deployments that provide continuous enhancements in technology in this segment is also invigorating market growth.
Data Classification Market Regional Insights:
North America is Expected to Dominate the Market Over the Forecast period
- This has strengthened the argument that the leadership of such a region is because major technology players are centralized, IT infrastructure mature, and data protection and compliance sensitization. On this account, the UNITED STATES features most prominently because of the early adoption of the new generation technologies, a buoyant data-intensive industry that consists of BFSI, healthcare, IT industries, and the like.
- In addition, stringent policies on data protection in North America pushed companies into adopting the classification of data solutions. This enhances Canada’s market presence by raising its digital transformation commitment and Mexico’s market presence by stepping up its IT renewal. As the current and future expectations are for organizations to treat more volumes of data, the need for better classification solutions in North America is ever present when enhancing this segment.
Active Key Players in the Data Classification Market:
- Boldon James (United Kingdom)
- Clearswift (United Kingdom)
- Digital Guardian (United States)
- Forcepoint (United States)
- Google LLC (United States)
- IBM Corporation (United States)
- Informatica (United States)
- Microsoft Corporation (United States)
- Netwrix Corporation (United States)
- OpenText Corporation (Canada)
- Oracle Corporation (United States)
- PKWARE, Inc. (United States)
- Symantec Corporation (United States)
- Thales Group (France)
- Varonis Systems, Inc. (United States)
- Other Active Players
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Global Data Classification Market |
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Base Year: |
2023 |
Forecast Period: |
2024-2032 |
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Historical Data: |
2017 to 2023 |
Market Size in 2023: |
USD 1.47 Billion |
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Forecast Period 2024-32 CAGR: |
35.2 % |
Market Size in 2032: |
USD 22.19 Billion |
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Segments Covered: |
By Component |
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By Deployment |
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By End User |
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By Region |
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Key Market Drivers: |
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Key Market Restraints: |
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Key Opportunities: |
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Companies Covered in the report: |
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Chapter 1: Introduction
1.1 Scope and Coverage
Chapter 2:Executive Summary
Chapter 3: Market Landscape
3.1 Market Dynamics
3.1.1 Drivers
3.1.2 Restraints
3.1.3 Opportunities
3.1.4 Challenges
3.2 Market Trend Analysis
3.3 PESTLE Analysis
3.4 Porter's Five Forces Analysis
3.5 Industry Value Chain Analysis
3.6 Ecosystem
3.7 Regulatory Landscape
3.8 Price Trend Analysis
3.9 Patent Analysis
3.10 Technology Evolution
3.11 Investment Pockets
3.12 Import-Export Analysis
Chapter 4: Data Classification Market by Component
4.1 Data Classification Market Snapshot and Growth Engine
4.2 Data Classification Market Overview
4.3 Solution
4.3.1 Introduction and Market Overview
4.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
4.3.3 Key Market Trends, Growth Factors and Opportunities
4.3.4 Solution: Geographic Segmentation Analysis
4.4 Services
4.4.1 Introduction and Market Overview
4.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
4.4.3 Key Market Trends, Growth Factors and Opportunities
4.4.4 Services: Geographic Segmentation Analysis
Chapter 5: Data Classification Market by Deployment
5.1 Data Classification Market Snapshot and Growth Engine
5.2 Data Classification Market Overview
5.3 Cloud-based
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.3.3 Key Market Trends, Growth Factors and Opportunities
5.3.4 Cloud-based: Geographic Segmentation Analysis
5.4 On-Premises
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.4.3 Key Market Trends, Growth Factors and Opportunities
5.4.4 On-Premises: Geographic Segmentation Analysis
Chapter 6: Data Classification Market by End User
6.1 Data Classification Market Snapshot and Growth Engine
6.2 Data Classification Market Overview
6.3 BFSI
6.3.1 Introduction and Market Overview
6.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
6.3.3 Key Market Trends, Growth Factors and Opportunities
6.3.4 BFSI: Geographic Segmentation Analysis
6.4 Retail-E-Commerce
6.4.1 Introduction and Market Overview
6.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
6.4.3 Key Market Trends, Growth Factors and Opportunities
6.4.4 Retail-E-Commerce: Geographic Segmentation Analysis
6.5 Health care
6.5.1 Introduction and Market Overview
6.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
6.5.3 Key Market Trends, Growth Factors and Opportunities
6.5.4 Health care: Geographic Segmentation Analysis
6.6 Manufacturing
6.6.1 Introduction and Market Overview
6.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
6.6.3 Key Market Trends, Growth Factors and Opportunities
6.6.4 Manufacturing: Geographic Segmentation Analysis
6.7 Others
6.7.1 Introduction and Market Overview
6.7.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
6.7.3 Key Market Trends, Growth Factors and Opportunities
6.7.4 Others: Geographic Segmentation Analysis
Chapter 7: Company Profiles and Competitive Analysis
7.1 Competitive Landscape
7.1.1 Competitive Benchmarking
7.1.2 Data Classification Market Share by Manufacturer (2023)
7.1.3 Industry BCG Matrix
7.1.4 Heat Map Analysis
7.1.5 Mergers and Acquisitions
7.2 BOLDON JAMES (UNITED KINGDOM)
7.2.1 Company Overview
7.2.2 Key Executives
7.2.3 Company Snapshot
7.2.4 Role of the Company in the Market
7.2.5 Sustainability and Social Responsibility
7.2.6 Operating Business Segments
7.2.7 Product Portfolio
7.2.8 Business Performance
7.2.9 Key Strategic Moves and Recent Developments
7.2.10 SWOT Analysis
7.3 CLEARSWIFT (UNITED KINGDOM)
7.4 DIGITAL GUARDIAN (UNITED STATES)
7.5 FORCEPOINT (UNITED STATES)
7.6 GOOGLE LLC (UNITED STATES)
7.7 IBM CORPORATION (UNITED STATES)
7.8 INFORMATICA (UNITED STATES)
7.9 MICROSOFT CORPORATION (UNITED STATES)
7.10 NETWRIX CORPORATION (UNITED STATES)
7.11 OPENTEXT CORPORATION (CANADA)
7.12 ORACLE CORPORATION (UNITED STATES)
7.13 PKWARE INC. (UNITED STATES)
7.14 SYMANTEC CORPORATION (UNITED STATES)
7.15 THALES GROUP (FRANCE)
7.16 VARONIS SYSTEMS INC. (UNITED STATES)
7.17 OTHER ACTIVE PLAYERS
Chapter 8: Global Data Classification Market By Region
8.1 Overview
8.2. North America Data Classification Market
8.2.1 Key Market Trends, Growth Factors and Opportunities
8.2.2 Top Key Companies
8.2.3 Historic and Forecasted Market Size by Segments
8.2.4 Historic and Forecasted Market Size By Component
8.2.4.1 Solution
8.2.4.2 Services
8.2.5 Historic and Forecasted Market Size By Deployment
8.2.5.1 Cloud-based
8.2.5.2 On-Premises
8.2.6 Historic and Forecasted Market Size By End User
8.2.6.1 BFSI
8.2.6.2 Retail-E-Commerce
8.2.6.3 Health care
8.2.6.4 Manufacturing
8.2.6.5 Others
8.2.7 Historic and Forecast Market Size by Country
8.2.7.1 US
8.2.7.2 Canada
8.2.7.3 Mexico
8.3. Eastern Europe Data Classification Market
8.3.1 Key Market Trends, Growth Factors and Opportunities
8.3.2 Top Key Companies
8.3.3 Historic and Forecasted Market Size by Segments
8.3.4 Historic and Forecasted Market Size By Component
8.3.4.1 Solution
8.3.4.2 Services
8.3.5 Historic and Forecasted Market Size By Deployment
8.3.5.1 Cloud-based
8.3.5.2 On-Premises
8.3.6 Historic and Forecasted Market Size By End User
8.3.6.1 BFSI
8.3.6.2 Retail-E-Commerce
8.3.6.3 Health care
8.3.6.4 Manufacturing
8.3.6.5 Others
8.3.7 Historic and Forecast Market Size by Country
8.3.7.1 Russia
8.3.7.2 Bulgaria
8.3.7.3 The Czech Republic
8.3.7.4 Hungary
8.3.7.5 Poland
8.3.7.6 Romania
8.3.7.7 Rest of Eastern Europe
8.4. Western Europe Data Classification Market
8.4.1 Key Market Trends, Growth Factors and Opportunities
8.4.2 Top Key Companies
8.4.3 Historic and Forecasted Market Size by Segments
8.4.4 Historic and Forecasted Market Size By Component
8.4.4.1 Solution
8.4.4.2 Services
8.4.5 Historic and Forecasted Market Size By Deployment
8.4.5.1 Cloud-based
8.4.5.2 On-Premises
8.4.6 Historic and Forecasted Market Size By End User
8.4.6.1 BFSI
8.4.6.2 Retail-E-Commerce
8.4.6.3 Health care
8.4.6.4 Manufacturing
8.4.6.5 Others
8.4.7 Historic and Forecast Market Size by Country
8.4.7.1 Germany
8.4.7.2 UK
8.4.7.3 France
8.4.7.4 The Netherlands
8.4.7.5 Italy
8.4.7.6 Spain
8.4.7.7 Rest of Western Europe
8.5. Asia Pacific Data Classification Market
8.5.1 Key Market Trends, Growth Factors and Opportunities
8.5.2 Top Key Companies
8.5.3 Historic and Forecasted Market Size by Segments
8.5.4 Historic and Forecasted Market Size By Component
8.5.4.1 Solution
8.5.4.2 Services
8.5.5 Historic and Forecasted Market Size By Deployment
8.5.5.1 Cloud-based
8.5.5.2 On-Premises
8.5.6 Historic and Forecasted Market Size By End User
8.5.6.1 BFSI
8.5.6.2 Retail-E-Commerce
8.5.6.3 Health care
8.5.6.4 Manufacturing
8.5.6.5 Others
8.5.7 Historic and Forecast Market Size by Country
8.5.7.1 China
8.5.7.2 India
8.5.7.3 Japan
8.5.7.4 South Korea
8.5.7.5 Malaysia
8.5.7.6 Thailand
8.5.7.7 Vietnam
8.5.7.8 The Philippines
8.5.7.9 Australia
8.5.7.10 New Zealand
8.5.7.11 Rest of APAC
8.6. Middle East & Africa Data Classification Market
8.6.1 Key Market Trends, Growth Factors and Opportunities
8.6.2 Top Key Companies
8.6.3 Historic and Forecasted Market Size by Segments
8.6.4 Historic and Forecasted Market Size By Component
8.6.4.1 Solution
8.6.4.2 Services
8.6.5 Historic and Forecasted Market Size By Deployment
8.6.5.1 Cloud-based
8.6.5.2 On-Premises
8.6.6 Historic and Forecasted Market Size By End User
8.6.6.1 BFSI
8.6.6.2 Retail-E-Commerce
8.6.6.3 Health care
8.6.6.4 Manufacturing
8.6.6.5 Others
8.6.7 Historic and Forecast Market Size by Country
8.6.7.1 Turkiye
8.6.7.2 Bahrain
8.6.7.3 Kuwait
8.6.7.4 Saudi Arabia
8.6.7.5 Qatar
8.6.7.6 UAE
8.6.7.7 Israel
8.6.7.8 South Africa
8.7. South America Data Classification Market
8.7.1 Key Market Trends, Growth Factors and Opportunities
8.7.2 Top Key Companies
8.7.3 Historic and Forecasted Market Size by Segments
8.7.4 Historic and Forecasted Market Size By Component
8.7.4.1 Solution
8.7.4.2 Services
8.7.5 Historic and Forecasted Market Size By Deployment
8.7.5.1 Cloud-based
8.7.5.2 On-Premises
8.7.6 Historic and Forecasted Market Size By End User
8.7.6.1 BFSI
8.7.6.2 Retail-E-Commerce
8.7.6.3 Health care
8.7.6.4 Manufacturing
8.7.6.5 Others
8.7.7 Historic and Forecast Market Size by Country
8.7.7.1 Brazil
8.7.7.2 Argentina
8.7.7.3 Rest of SA
Chapter 9 Analyst Viewpoint and Conclusion
9.1 Recommendations and Concluding Analysis
9.2 Potential Market Strategies
Chapter 10 Research Methodology
10.1 Research Process
10.2 Primary Research
10.3 Secondary Research
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Global Data Classification Market |
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Base Year: |
2023 |
Forecast Period: |
2024-2032 |
|
Historical Data: |
2017 to 2023 |
Market Size in 2023: |
USD 1.47 Billion |
|
Forecast Period 2024-32 CAGR: |
35.2 % |
Market Size in 2032: |
USD 22.19 Billion |
|
Segments Covered: |
By Component |
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|
|
By Deployment |
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|
By End User |
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|
By Region |
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Key Market Drivers: |
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Key Market Restraints: |
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Key Opportunities: |
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Companies Covered in the report: |
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