资料分类市场 - 全球产业规模、份额、趋势、机会和预测（按组件、类型、垂直行业、地区和竞争细分，2020-2030 年）

2024 年全球资料分类市场价值为 18.5 亿美元，预计到 2030 年将达到 104.5 亿美元，复合年增长率为 33.45%。全球资料分类市场是指网路安全和资料管理解决方案的一部分，专注于根据资料的敏感度、价值和监管重要性来识别、组织和标记资料。

资料分类有助于组织了解其拥有的资料类型（例如个人资讯、机密资讯或公共资讯），以及应如何处理、储存和保护这些资料。这项流程在建构有效的资料治理、确保遵守资料保护法以及简化跨复杂数位基础设施的资讯存取方面发挥着至关重要的作用。

随着企业越来越多地产生和储存大量结构化和非结构化资料，对这些资料进行准确分类变得至关重要。 《一般资料保护条例》、《加州消费者隐私法案》以及各种行业特定标准等法规的实施，迫使企业更负责任地管理敏感资讯。数据分类工具使企业能够定位敏感资料，应用正确的存取控制，并即时监控数据使用情况，从而降低资料外洩、违规和违规处罚的风险。云端运算的采用、远端工作环境和混合基础设施进一步加速了能够在不同储存环境中运行的自动化、可扩展资料分类解决方案的需求。

在网路安全、资料隐私和人工智慧整合的推动下，全球资料分类市场预计将经历强劲成长。机器学习和自然语言处理的进步使自动分类速度更快、更准确，帮助企业跟上资料量和复杂性不断增长的步伐。此外，随着资料成为数位转型策略的核心，企业不仅为了安全起见，也为了实现更智慧的资料使用、分析和决策，纷纷投资分类工具。随着人们对资料价值和责任意识的不断增强，资料分类市场正在成为全球企业资讯管理的重要组成部分。

关键市场驱动因素

加速云端采用和资料蔓延

主要市场挑战

非结构化资料和遗留资料分类的复杂性

主要市场趋势

分类引擎中人工智慧和机器学习的集成

目录

第 1 章：解决方案概述

• 市场定义
• 市场范围
  • 覆盖市场
  • 考虑学习的年限
  • 主要市场区隔

第二章：研究方法

第三章：执行摘要

第四章：顾客之声

第五章：全球资料分类市场展望

• 市场规模和预测
  • 按价值
• 市场占有率和预测
  • 按组件（解决方案、服务）
  • 按类型（基于内容的分类、基于上下文的分类、基于使用者的分类）
  • 按垂直产业（BFSI、国防与政府、医疗保健与生命科学、电信、教育、媒体与娱乐、其他）
  • 按地区（北美、欧洲、南美、中东和非洲、亚太地区）
• 按公司分类（2024）
• 市场地图

第六章：北美资料分类市场展望

• 市场规模和预测
• 市场占有率和预测
• 北美：国家分析
  • 美国
  • 加拿大
  • 墨西哥

第七章：欧洲资料分类市场展望

• 市场规模和预测
• 市场占有率和预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太资料分类市场展望

• 市场规模和预测
• 市场占有率和预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章：中东和非洲资料分类市场展望

• 市场规模和预测
• 市场占有率和预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿联酋
  • 南非

第十章：南美洲资料分类市场展望

• 市场规模和预测
• 市场占有率和预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第 11 章：市场动态

• 驱动程式
• 挑战

第 12 章：市场趋势与发展

• 合併与收购（如有）
• 产品发布（如有）
• 最新动态

第十三章：公司简介

• Microsoft Corporation
• IBM Corporation
• Amazon.com, Inc.
• Google LLC
• Symantec Corporation
• Forcepoint LLC
• Varonis Systems, Inc.
• Digital Guardian, Inc.

第 14 章：策略建议

第15章调查会社について・免责事项

Global Data Classification Market was valued at USD 1.85 Billion in 2024 and is expected to reach USD 10.45 Billion by 2030 with a CAGR of 33.45% through 2030. The Global Data Classification Market refers to the segment of cybersecurity and data management solutions focused on identifying, organizing, and labeling data based on its sensitivity, value, and regulatory importance.

Data classification helps organizations understand what types of data they possess-such as personal, confidential, or public information-and how it should be handled, stored, and protected. This process plays a crucial role in building effective data governance, ensuring compliance with data protection laws, and streamlining information access across complex digital infrastructures.

As enterprises increasingly generate and store vast volumes of structured and unstructured data, the need to classify this data accurately has become critical. The implementation of regulations such as the General Data Protection Regulation, the California Consumer Privacy Act, and various industry-specific standards has forced organizations to manage sensitive information more responsibly. Data classification tools enable companies to locate sensitive data, apply the right access controls, and monitor usage in real-time-reducing the risk of data leaks, breaches, and non-compliance penalties. Cloud adoption, remote work environments, and hybrid infrastructures have further accelerated demand for automated, scalable data classification solutions that can function across diverse storage environments.

The Global Data Classification Market is expected to experience strong growth, driven by the convergence of cybersecurity, data privacy, and artificial intelligence. Advances in machine learning and natural language processing are making automated classification faster and more accurate, helping organizations keep pace with the growing volume and complexity of data. In addition, as data becomes central to digital transformation strategies, organizations are investing in classification tools not only for security but also to enable more intelligent data usage, analytics, and decision-making. With growing awareness about data value and responsibility, the data classification market is becoming an essential component of enterprise information management worldwide.

Key Market Drivers

Accelerating Cloud Adoption and Data Sprawl

The migration to cloud environments has unlocked scalability and agility for enterprises, but it has also created new risks in managing unstructured and dispersed data. As businesses store files across multiple cloud providers, software-as-a-service platforms, and hybrid environments, tracking sensitive or regulated information becomes more challenging. Data classification enables automated tagging and policy enforcement, helping enterprises maintain control in complex, distributed storage ecosystems. Organizations operating across multiple regions with formal data classification protocols in place reported 55% fewer compliance violations in 2024 compared to businesses without such frameworks. These organizations were able to map sensitive data to specific legal requirements, automate retention and access policies, and successfully pass audits without extensive manual intervention or risk of non-compliance penalties.

Cloud service providers often offer basic security tools, but leave ultimate data governance responsibilities to their customers. This shared responsibility model has increased the urgency for organizations to implement classification engines that can function across environments and integrate seamlessly with cloud security tools. Companies that classify data in real time can ensure it is encrypted, segmented, and stored according to internal policies and compliance mandates.

Key Market Challenges

Complexity in Classifying Unstructured and Legacy Data

One of the most pressing challenges facing the Global Data Classification Market is the growing complexity of unstructured and legacy data within organizations. Unlike structured data that resides in organized databases, unstructured data includes emails, PDFs, images, audio recordings, documents, and other formats that lack a predefined structure. As enterprises generate more digital content through remote communication tools, collaborative platforms, and customer interaction systems, unstructured data continues to grow exponentially. However, this data is also the most difficult to classify accurately, primarily because it is not easily searchable, standardized, or consistently labeled. Many legacy systems, which continue to hold decades of critical business information, were not designed to integrate with modern classification tools, adding another layer of complexity. Data residing in such environments often lacks metadata, making it nearly impossible to classify through traditional automation techniques. Without deep integration and context-aware solutions, organizations struggle to even locate, let alone classify, this information.

Further complicating the issue is the variation in content, language, and usage across business units, which makes establishing a unified classification framework highly resource-intensive. For instance, what one department considers sensitive may be routine for another, leading to inconsistencies in classification standards. Automation technologies such as artificial intelligence and natural language processing have been proposed as solutions, yet these tools often require large-scale training, fine-tuning, and validation-efforts that smaller enterprises cannot afford. Moreover, without historical classification accuracy or labeled datasets, artificial intelligence-based models produce unreliable outputs. Human intervention is frequently needed, which increases labor costs and introduces subjectivity. As a result, many organizations abandon their classification initiatives halfway or use minimal rule-based systems that do not scale. These limitations not only hinder full adoption but also dilute the return on investment in data governance platforms. In such an environment, the inability to classify unstructured and legacy data at scale remains one of the most significant bottlenecks in achieving holistic information security and compliance.

Key Market Trends

Integration of Artificial Intelligence and Machine Learning in Classification Engines

One of the most transformative trends in the Global Data Classification Market is the accelerated integration of artificial intelligence and machine learning technologies within classification engines. As enterprise data environments become more complex and diverse, traditional rule-based classification systems are proving insufficient in handling real-time decision-making, contextual analysis, and anomaly detection. Artificial intelligence and machine learning models are being deployed to understand the content and context of data, allowing for intelligent tagging, pattern recognition, and risk prioritization at scale. These systems can automatically identify sensitive information, even in unstructured formats such as free-text documents or scanned images, thereby improving classification accuracy and reducing human error.

Moreover, artificial intelligence-driven systems are continuously learning from organizational behaviors and usage patterns. As data flows through networks, classification algorithms adapt to identify evolving trends in data sensitivity and relevance. This capability not only enables dynamic policy enforcement but also reduces the workload on IT and compliance teams by automating what were previously manual, time-consuming tasks. As a result, artificial intelligence is enabling a shift from reactive to proactive data governance. Organizations that invest in artificial intelligence-enabled classification tools are positioning themselves for faster decision-making, enhanced compliance reporting, and stronger data protection frameworks-making this trend a cornerstone of future-ready data governance strategies.

Key Market Players

• Microsoft Corporation
• IBM Corporation
• Amazon.com, Inc.
• Google LLC
• Symantec Corporation
• Forcepoint LLC
• Varonis Systems, Inc.
• Digital Guardian, Inc.

Report Scope:

In this report, the Global Data Classification Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Data Classification Market, By Component:

• Solution
• Services

Data Classification Market, By Type:

• Content-Based Classification
• Context-Based Classification
• User-Based Classification

Data Classification Market, By Vertical:

• BFSI
• Defense & Government
• Healthcare & Life Sciences
• Telecom
• Education
• Media & Entertainment
• Others

Data Classification Market, By Region:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa
• South America
  • Brazil
  • Colombia
  • Argentina

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Data Classification Market.

Available Customizations:

Global Data Classification Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Solution Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, and Trends

4. Voice of Customer

5. Global Data Classification Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Component (Solution, Services)
  • 5.2.2. By Type (Content-Based Classification, Context-Based Classification, User-Based Classification)
  • 5.2.3. By Vertical (BFSI, Defense & Government, Healthcare & Life Sciences, Telecom, Education, Media & Entertainment, Others)
  • 5.2.4. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
• 5.3. By Company (2024)
• 5.4. Market Map

6. North America Data Classification Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Component
  • 6.2.2. By Type
  • 6.2.3. By Vertical
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Data Classification Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Component
      • 6.3.1.2.2. By Type
      • 6.3.1.2.3. By Vertical
  • 6.3.2. Canada Data Classification Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Component
      • 6.3.2.2.2. By Type
      • 6.3.2.2.3. By Vertical
  • 6.3.3. Mexico Data Classification Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Component
      • 6.3.3.2.2. By Type
      • 6.3.3.2.3. By Vertical

7. Europe Data Classification Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Component
  • 7.2.2. By Type
  • 7.2.3. By Vertical
  • 7.2.4. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Data Classification Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Component
      • 7.3.1.2.2. By Type
      • 7.3.1.2.3. By Vertical
  • 7.3.2. France Data Classification Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Component
      • 7.3.2.2.2. By Type
      • 7.3.2.2.3. By Vertical
  • 7.3.3. United Kingdom Data Classification Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Component
      • 7.3.3.2.2. By Type
      • 7.3.3.2.3. By Vertical
  • 7.3.4. Italy Data Classification Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Component
      • 7.3.4.2.2. By Type
      • 7.3.4.2.3. By Vertical
  • 7.3.5. Spain Data Classification Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Component
      • 7.3.5.2.2. By Type
      • 7.3.5.2.3. By Vertical

8. Asia Pacific Data Classification Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Component
  • 8.2.2. By Type
  • 8.2.3. By Vertical
  • 8.2.4. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Data Classification Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Component
      • 8.3.1.2.2. By Type
      • 8.3.1.2.3. By Vertical
  • 8.3.2. India Data Classification Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Component
      • 8.3.2.2.2. By Type
      • 8.3.2.2.3. By Vertical
  • 8.3.3. Japan Data Classification Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Component
      • 8.3.3.2.2. By Type
      • 8.3.3.2.3. By Vertical
  • 8.3.4. South Korea Data Classification Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Component
      • 8.3.4.2.2. By Type
      • 8.3.4.2.3. By Vertical
  • 8.3.5. Australia Data Classification Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Component
      • 8.3.5.2.2. By Type
      • 8.3.5.2.3. By Vertical

9. Middle East & Africa Data Classification Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Component
  • 9.2.2. By Type
  • 9.2.3. By Vertical
  • 9.2.4. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Data Classification Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Component
      • 9.3.1.2.2. By Type
      • 9.3.1.2.3. By Vertical
  • 9.3.2. UAE Data Classification Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Component
      • 9.3.2.2.2. By Type
      • 9.3.2.2.3. By Vertical
  • 9.3.3. South Africa Data Classification Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Component
      • 9.3.3.2.2. By Type
      • 9.3.3.2.3. By Vertical

10. South America Data Classification Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Component
  • 10.2.2. By Type
  • 10.2.3. By Vertical
  • 10.2.4. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Data Classification Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Component
      • 10.3.1.2.2. By Type
      • 10.3.1.2.3. By Vertical
  • 10.3.2. Colombia Data Classification Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Component
      • 10.3.2.2.2. By Type
      • 10.3.2.2.3. By Vertical
  • 10.3.3. Argentina Data Classification Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Component
      • 10.3.3.2.2. By Type
      • 10.3.3.2.3. By Vertical

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends and Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Company Profiles

• 13.1. Microsoft Corporation
  • 13.1.1. Business Overview
  • 13.1.2. Key Revenue and Financials
  • 13.1.3. Recent Developments
  • 13.1.4. Key Personnel
  • 13.1.5. Key Product/Services Offered
• 13.2. IBM Corporation
• 13.3. Amazon.com, Inc.
• 13.4. Google LLC
• 13.5. Symantec Corporation
• 13.6. Forcepoint LLC
• 13.7. Varonis Systems, Inc.
• 13.8. Digital Guardian, Inc.

14. Strategic Recommendations

15. About Us & Disclaimer