データ分類市場 - 世界の産業規模、シェア、動向、機会、予測：コンポーネント別、タイプ別、業種別、地域別、競合別、2020年～2030年

データ分類の世界市場規模は、2024年に18億5,000万米ドルで、2030年までのCAGRは33.45%で、2030年には104億5,000万米ドルに達すると予測されています。

世界のデータ分類市場は、機密性、価値、規制上の重要性に基づいてデータを識別、整理、ラベル付けすることに焦点を当てたサイバーセキュリティおよびデータ管理ソリューションのセグメントを指します。

データ分類は、企業がどのような種類のデータ（個人情報、機密情報、公開情報など）を所有し、それをどのように扱い、保管し、保護すべきかを理解するお手伝いをします。このプロセスは、効果的なデータガバナンスの構築、データ保護法へのコンプライアンスの確保、複雑なデジタルインフラ全体における情報アクセスの合理化において重要な役割を果たします。

企業が膨大な量の構造化・非構造化データを生成・保存するようになるにつれ、これらのデータを正確に分類する必要性が非常に重要になってきています。一般データ保護規則（General Data Protection Regulation）、カリフォルニア州消費者プライバシー法（California Consumer Privacy Act）、さまざまな業界固有の基準などの規制の実施により、企業は機密情報をより責任を持って管理する必要に迫られています。データ分類ツールは、企業が機密データを特定し、適切なアクセス制御を適用し、使用状況をリアルタイムで監視することを可能にします。クラウドの採用、リモートワーク環境、ハイブリッドインフラは、多様なストレージ環境で機能する自動化されたスケーラブルなデータ分類ソリューションへの需要をさらに加速させています。

世界のデータ分類市場は、サイバーセキュリティ、データプライバシー、人工知能の融合により、力強い成長が見込まれています。機械学習と自然言語処理の進歩により、自動分類がより迅速かつ正確に行われるようになり、企業はデータ量の増大と複雑化に対応できるようになっています。さらに、データがデジタルトランスフォーメーション戦略の中心になるにつれ、企業はセキュリティのためだけでなく、よりインテリジェントなデータ利用、分析、意思決定を可能にする分類ツールに投資しています。データの価値と責任に対する意識が高まる中、データ分類市場は世界中で企業の情報管理に不可欠な要素になりつつあります。

市場促進要因

クラウド導入の加速とデータのスプロール化

主な市場課題

非構造化データとレガシーデータの分類の複雑さ

主な市場動向

分類エンジンにおける人工知能と機械学習の統合

目次

第1章 ソリューションの概要

• 市場の定義
• 市場の範囲
  • 対象市場
  • 調査対象年
  • 主要市場セグメンテーション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

第5章 世界のデータ分類市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • コンポーネント別（ソリューション、サービス）
  • タイプ別（コンテンツベースの分類、コンテキストベースの分類、ユーザーベースの分類）
  • 業種別（BFSI、防衛・政府、ヘルスケア・ライフサイエンス、通信、教育、メディア・エンターテイメント、その他）
  • 地域別（北米、欧州、南米、中東・アフリカ、アジア太平洋）
• 企業別（2024）
• 市場マップ

第6章 北米のデータ分類市場展望

• 市場規模・予測
• 市場シェア・予測
• 北米：国別分析
  • 米国
  • カナダ
  • メキシコ

第7章 欧州のデータ分類市場展望

• 市場規模・予測
• 市場シェア・予測
• 欧州：国別分析
  • ドイツ
  • フランス
  • 英国
  • イタリア
  • スペイン

第8章 アジア太平洋地域のデータ分類市場展望

• 市場規模・予測
• 市場シェア・予測
• アジア太平洋地域：国別分析
  • 中国
  • インド
  • 日本
  • 韓国
  • オーストラリア

第9章 中東・アフリカのデータ分類市場展望

• 市場規模・予測
• 市場シェア・予測
• 中東・アフリカ：国別分析
  • サウジアラビア
  • アラブ首長国連邦
  • 南アフリカ

第10章 南米のデータ分類市場展望

• 市場規模・予測
• 市場シェア・予測
• 南米：国別分析
  • ブラジル
  • コロンビア
  • アルゼンチン

第11章 市場力学

• 促進要因
• 課題

第12章 市場動向と発展

• 合併と買収
• 製品上市
• 最近の動向

第13章 企業プロファイル

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

第14章 戦略的提言

第15章 調査会社について・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