資料分類市場 - 全球產業規模、佔有率、趨勢、機會和預測（按組件、類型、垂直行業、地區和競爭細分，2020-2030 年）

2024 年全球資料分類市場價值為 18.5 億美元，預計到 2030 年將達到 104.5 億美元，複合年成長率為 33.45%。全球資料分類市場是指網路安全和資料管理解決方案的一部分，專注於根據資料的敏感度、價值和監管重要性來識別、組織和標記資料。

資料分類有助於組織了解其擁有的資料類型（例如個人資訊、機密資訊或公共資訊），以及應如何處理、儲存和保護這些資料。這項流程在建構有效的資料治理、確保遵守資料保護法以及簡化跨複雜數位基礎設施的資訊存取方面發揮著至關重要的作用。

隨著企業擴大產生和儲存大量結構化和非結構化資料，對這些資料進行準確分類變得至關重要。 《一般資料保護條例》、《加州消費者隱私法案》以及各種行業特定標準等法規的實施，迫使企業更負責任地管理敏感資訊。數據分類工具使企業能夠定位敏感資料，應用正確的存取控制，並即時監控數據使用情況，從而降低資料外洩、違規和違規處罰的風險。雲端運算的採用、遠端工作環境和混合基礎設施進一步加速了能夠在不同儲存環境中運行的自動化、可擴展資料分類解決方案的需求。

在網路安全、資料隱私和人工智慧整合的推動下，全球資料分類市場預計將經歷強勁成長。機器學習和自然語言處理的進步使自動分類速度更快、更準確，幫助企業跟上資料量和複雜性不斷成長的步伐。此外，隨著資料成為數位轉型策略的核心，企業不僅為了安全起見，也為了實現更智慧的資料使用、分析和決策，紛紛投資分類工具。隨著人們對資料價值和責任意識的不斷增強，資料分類市場正在成為全球企業資訊管理的重要組成部分。

關鍵市場促進因素

加速雲端採用和資料蔓延

主要市場挑戰

非結構化資料和遺留資料分類的複雜性

主要市場趨勢

分類引擎中人工智慧和機器學習的整合

目錄

第 1 章：解決方案概述

• 市場定義
• 市場範圍
  • 覆蓋市場
  • 考慮學習的年限
  • 主要市場區隔

第2章：研究方法

第3章：執行摘要

第4章：顧客之聲

第5章：全球資料分類市場展望

• 市場規模和預測
  • 按價值
• 市場佔有率和預測
  • 按組件（解決方案、服務）
  • 按類型（基於內容的分類、基於上下文的分類、基於使用者的分類）
  • 按垂直產業（BFSI、國防與政府、醫療保健與生命科學、電信、教育、媒體與娛樂、其他）
  • 按地區（北美、歐洲、南美、中東和非洲、亞太地區）
• 按公司分類（2024）
• 市場地圖

第6章：北美資料分類市場展望

• 市場規模和預測
• 市場佔有率和預測
• 北美：國家分析
  • 美國
  • 加拿大
  • 墨西哥

第7章：歐洲資料分類市場展望

• 市場規模和預測
• 市場佔有率和預測
• 歐洲：國家分析
  • 德國
  • 法國
  • 英國
  • 義大利
  • 西班牙

第8章：亞太資料分類市場展望

• 市場規模和預測
• 市場佔有率和預測
• 亞太地區：國家分析
  • 中國
  • 印度
  • 日本
  • 韓國
  • 澳洲

第9章：中東和非洲資料分類市場展望

• 市場規模和預測
• 市場佔有率和預測
• 中東和非洲：國家分析
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南非

第10章：南美洲資料分類市場展望

• 市場規模和預測
• 市場佔有率和預測
• 南美洲：國家分析
  • 巴西
  • 哥倫比亞
  • 阿根廷

第 11 章：市場動態

• 驅動程式
• 挑戰

第 12 章：市場趨勢與發展

• 合併與收購（如有）
• 產品發布（如有）
• 最新動態

第13章：公司簡介

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

第 14 章：策略建議

第15章調查會社について,免責事項

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