データ分類市場：コンポーネント、手法、用途、エンドユーザー産業、地域別、2026～2032年

データ分類市場の評価-2026～2032年

膨大な量のデータを効果的かつ安全に処理するビジネスへの要求の高まりと、データ漏洩の可能性、規制上の課題の高まりが、データ分類市場の大幅な拡大を後押ししています。Verified Market Researchのアナリストによると、データ分類市場は2024年の約16億6,466万米ドルを下回る予測で、2032年には94億8,625万米ドルの評価に達すると推定されています。

厳格な規制の遵守、機密データの保護、データ利用の最適化を支援する信頼性の高いデータ管理ソリューションに対する需要の高まりが、データ分類市場の急速な拡大に拍車をかけています。これらのソリューションにより、企業は十分な情報に基づいた意思決定を行うことができ、同時にデータ漏洩や誤操作のリスクを低減することができます。これにより、同市場は2026～2032年にかけてCAGR 24.3%で成長します。

データ分類市場定義/概要

データ分類とは、データを種類、機密性、関連性に基づいて体系的にグループ化することで、より効率的な管理、保護、検索を可能にします。この手法により、企業はデータの分類レベルに応じて適切なセキュリティ対策を講じることができるため、法令順守の保証、データセキュリティの向上、リスク管理の促進に不可欠です。

さらに、データ分類は、アクセス制御や保護施策の決定を支援するサイバーセキュリティ、GDPRなどの法的基準の遵守を保証するコンプライアンス管理、データ処理プロセスを合理化し冗長性を排除する業務効率化など、幅広い用途があります。

データ分類市場の成長を促す要因とは？

データ漏洩の増加により、企業は強固なデータ分類システムを構築する必要に迫られています。Identity Theft Resource Centerの2021 Annual Data Breach Reportによると、2021年のデータ漏洩件数は1,862件で、2017年に記録した1,506件を上回りました。これは、2020年に報告された1,108件の情報漏えいを68％上回るものです。

クラウドコンピューティングへの移行に伴い、セキュリティとコンプライアンスのためにデータの分類を改善する必要があります。Gartnerは、2021年の30％から、2025年までに新しいデジタルワークロードの95％以上がクラウドネイティブプラットフォームに実装されると予測しています。このような大規模な移行により、クラウド環境におけるデータの管理とセキュリティ確保のためのデータ分類技術の向上に対する需要が高まっています。

さらに、増加する規制上の義務により、企業はデータ分類システムを採用する必要があります。欧州連合サイバーセキュリティ機関（ENISA）によると、GDPRが2018年に発効して以来、欧州全域で28万1,000件を超えるデータ侵害の届出がありました。その結果、12億9,000万ユーロ以上の罰金が科せられ、コンプライアンスを確保し、罰則を回避するためには、正しいデータ分類が重要であることが強調されています。

データ分類市場の成長を妨げる主要障害とは？

データ分類セグメントの専門家の不足が、データ分類市場の障害となっています。成功するデータ分類システムの開発には、複雑なデータ管理とセキュリティ対策の知識が必要です。しかし、既存の人材不足により、企業はこれらのシステムを設計・管理できる有能なスタッフを見つけることが難しく、データ分類の取り組みの遅れや非効率の原因となっています。

さらに、多くの企業、特に中小企業にとって、データ分類システムの導入には高いコストがかかります。最新技術や継続的なメンテナンス、スタッフのトレーニングにかかるコストが予算を圧迫するため、企業は完全なデータ分類戦略の導入を遅らせ、市場の成長を制限しています。

目次

第1章 イントロダクション

• 市場の定義
• 市場セグメンテーション
• 調査手法

第2章 エグゼクティブサマリー

• 主要調査結果
• 市場概要
• 市場ハイライト

第3章 市場概要

• 市場規模と成長の可能性
• 市場動向
• 市場促進要因
• 市場抑制要因
• 市場機会
• ポーターのファイブフォース分析

第4章 データ分類市場：分類方法別

• 手動分類
• 自動分類

第5章 データ分類市場：産業別

• 政府・防衛
• ヘルスケア
• 銀行、金融サービス、保険（BFSI）
• 小売
• IT・通信
• その他

第6章 データ分類市場：展開モード別

• オンプレミス
• クラウドベース

第7章 地域別分析

• 北米
• 米国
• カナダ
• メキシコ
• 欧州
• 英国
• ドイツ
• フランス
• イタリア
• アジア太平洋
• 中国
• 日本
• インド
• オーストラリア
• ラテンアメリカ
• ブラジル
• アルゼンチン
• チリ
• 中東・アフリカ
• 南アフリカ
• サウジアラビア
• アラブ首長国連邦

第8章 市場力学

• 市場促進要因
• 市場抑制要因
• 市場機会
• COVID-19の市場への影響

第9章 競合情勢

• 主要企業
• 市場シェア分析

第10章 企業プロファイル

• OpenText
• Covata
• Varonis
• Innovative Routines International（IRI）
• Informatica
• Dataguise
• Spirion
• Digital Guardian
• Amazon Web Services（AWS）
• Boldon James Ltd

第11章 市場展望と機会

• 新興技術
• 今後の市場動向
• 投資機会

第12章 付録

• 略語リスト
• 供給源と参考文献

Data Classification Market Valuation - 2026-2032

The growing requirement for businesses to handle enormous volumes of data effectively and securely, along with the possibility of data breaches and mounting regulatory challenges, is propelling the data classification market's substantial expansion. According to the analyst from Verified Market Research, the data classification market is estimated to reach a valuation of USD 9486.25 Million in 2032 over the forecast subjugating around USD 1664.66 Million valued in 2024.

The increasing demand for reliable data management solutions that assist businesses in adhering to strict regulations, protecting confidential data, and optimizing data usage is fueling the data classification market's rapid expansion. These solutions enable businesses to make well-informed decisions while lowering the risk of data breaches and mismanagement. It enables the market to grow at a CAGR of 24.3% from 2026 to 2032.

Data Classification Market: Definition/ Overview

Data classification is the systematic organization of data into groups based on kind, sensitivity, and relevance, allowing for more efficient management, protection, and retrieval. This method is critical for guaranteeing regulatory compliance, improving data security, and facilitating risk management since it allows enterprises to implement appropriate security measures based on the categorization level of the data.

Furthermore, data classification has a wide range of applications, including cybersecurity, where it aids in the determination of access controls and protection policies; compliance management, which ensures adherence to legal standards such as GDPR; and operational efficiency, as it streamlines data handling processes and eliminates redundancy.

What Factors are Propelling the Growth of the Data Classification Market?

The increasing amount of data breaches is prompting firms to build strong data classification systems. According to the Identity Theft Resource Center's 2021 Annual Data Breach Report, there were 1,862 data breaches in 2021, more than the previous record of 1,506 set in 2017. This marks a 68% increase over the 1,108 breaches reported in 2020.

The transition to cloud computing necessitates improved data classification for security and compliance. Gartner anticipates that by 2025, more than 95% of new digital workloads will be implemented on cloud-native platforms, up from 30% in 2021. This tremendous transition is increasing the demand for improved data classification technologies to manage and secure data in cloud environments.

Furthermore, the increasing regulatory obligations require companies to employ data classification systems. According to the European Union Agency for Cybersecurity (ENISA), over 281,000 data breach notifications have been received across Europe since the GDPR went into effect in 2018. This has resulted in fines of more than €1.29 billion, stressing the importance of correct data classification to ensure compliance and avoid penalties.

What are the Key Obstacles Hindering the Growth of the Data Classification Market?

The lack of qualified experts in the field of data classification is an obstacle for the data classification market. The complexities of developing successful data classification systems necessitate knowledge of data management and security measures. However, the existing talent gap makes it difficult for enterprises to locate qualified staff capable of designing and managing these systems successfully, thereby contributing to delays and inefficiencies in data classification initiatives.

Furthermore, the high costs of implementing data classification systems are prohibitive for many companies, particularly small and medium-sized businesses. The cost of modern technologies, continuous maintenance, and staff training put a strain on budgets, prompting organizations to delay implementing complete data classification strategies, thereby limiting market growth.

Category-Wise Acumens

How Does the Increasing Demand for Advanced Data Management Drives the Demand for Data Classification Solutions?

According to VMR analysis, the solutions segment is estimated to hold the largest market share during the forecast period. The growing demand for better data management skills is one of the factors driving this dominance. Organizations are looking for comprehensive solutions that not only categorize data but also integrate smoothly with existing systems, resulting in improved data governance and compliance. The desire for strong solutions that improve operational efficiency and security fuels the expansion of the solutions segment.

Concerns about data security and regulatory compliance are becoming more and more of a driver. As businesses confront the increased dangers of data breaches and severe regulations, they prioritize the installation of advanced data classification systems. These solutions assist firms in identifying and protecting sensitive information, establishing trust, and assuring legal compliance, which adds considerably to the segment's growth.

Furthermore, the growing growth of unstructured data is driving the solutions segment ahead. With the increasing number of data generated daily, organizations need excellent classification solutions to properly manage, retrieve, and utilize this data. The ability of these technologies to categorize large amounts of unstructured data into meaningful classifications improves data accessibility and security, cementing their market dominance.

What Factors Contribute to the Demand of Data Classification for Access Control?

The access control segment is estimated to dominate the data classification market during the forecast period. The growing prevalence of cyberattacks and data breaches, which force businesses to adopt strict access control procedures, is one factor contributing to this dominance. Businesses can reduce the risk of unauthorized access by classifying data based on sensitivity, ensuring that only authorized workers can view or change sensitive information.

The expanding regulatory environment, which requires stringent data protection procedures, is another driver. Regulations such as GDPR and HIPAA require enterprises to classify data to comply with legal standards. The need for compliance drives the demand for access control solutions, which assist firms in categorizing data properly and implementing the essential security processes to protect sensitive information.

Furthermore, the growth of remote work and cloud-based services has increased the demand for strong access control measures. As organizations rely more on digital platforms to run their operations, the ability to classify and limit data access becomes crucial. This transition not only increases security but also operational efficiency, reinforcing the access control segment's market leadership.

Country/Region-wise Acumens

How Does the High Incidence of Data Breaches Propel the Dominance of North America in the Market?

According to VMR Analyst, North America is estimated to dominate the data classification market during the forecast period. North America, particularly the United States, has a high rate of data breaches, necessitating the implementation of effective data classification technologies. According to the Identity Theft Resource Center's 2021 Annual Data Breach Report, the United States alone saw 1,862 data breaches in 2021, affecting more than 293 million people. Because of the rising frequency of breaches, enterprises are using advanced data classification systems to protect sensitive information.

Furthermore, North America has enacted a variety of data protection standards, mandating the usage of data classification technologies. The California Consumer Privacy Act (CCPA), which went into effect in 2020, affects more than 500,000 businesses in the United States alone. According to TrustArc's CCPA readiness survey, 79% of organizations reported spending over $100,000 on compliance, with 53% spending more than USD 1 Million, showing significant investment in data management and classification tools.

What are the Potential Factors that Drive the Growth of the Market in Asia Pacific?

The Asia Pacific region is estimated to exhibit the highest growth within the market during the forecast period. The Asia Pacific region is undergoing rapid digital expansion, increasing data that must be identified and handled. According to IDC, the volume of data created in the Asia Pacific region is predicted to increase from 5.9 zettabytes in 2018 to 102.6 zettabytes in 2025, reflecting a 50% compound annual growth rate (CAGR). The tremendous increase in data volume is increasing the demand for robust data classification solutions.

The region is experiencing an increasing number of cybersecurity events, needing improved data classification for protection. The 2021 IBM Cost of a Data Breach Report discovered that the average overall cost of a data breach in ASEAN countries was USD 2.71 Million. In particular, India saw a 9.4% increase in the average cost of a data breach from 2020 to 2021, reaching USD 2.21 Million. These rising costs are pushing organizations to invest in data classification technologies.

Furthermore, many Asia-Pacific countries are developing or improving data protection legislation, which is pushing the adoption of data classification systems. For example, China's Personal Information Protection Law (PIPL) went into force in November 2021, affecting an estimated 1.4 billion individuals. Similarly, India's proposed Personal Data Protection Bill would have an impact on its population of more than 1.3 billion. These requirements require firms to establish extensive data classification procedures to ensure compliance.

Competitive Landscape

The competitive landscape of the data classification market is characterized by a varied range of companies utilizing a variety of techniques to increase market presence and growth. Companies are increasingly focused on innovation, adopting new technologies like artificial intelligence and machine learning to increase the accuracy and efficiency of data classification procedures.

Some of the prominent players operating in the data classification market include:

OpenText

Covata

Varonis

Innovative Routines International (IRI)

Informatica

Dataguise

Spirion

Digital Guardian

Amazon Web Services (AWS)

Boldon James Ltd

Latest Developmentsc

In July 2023, Spirion announced new AI-driven data classification tools to improve sensitive information management and security across diverse data contexts.

In June 2023, Varonis launched new features to automate data classification and risk mitigation, reducing the risk of data breaches and ensuring regulatory compliance.

TABLE OF CONTENTS

1. Introduction

• Market Definition
• Market Segmentation
• Research Methodology

2. Executive Summary

• Key Findings
• Market Overview
• Market Highlights

3. Market Overview

• Market Size and Growth Potential
• Market Trends
• Market Drivers
• Market Restraints
• Market Opportunities
• Porter's Five Forces Analysis

4. Data Classification Market, By Method of Classification

• Manual Classification
• Automatic Classification

5 Data Classification Market, By Industry Vertical

• Government and Defense
• Healthcare
• Banking, Financial Services, and Insurance (BFSI)
• Retail
• IT and Telecom
• Others

6 Data Classification Market, By Deployment Mode

• On-Premises
• Cloud-Based

7. Regional Analysis

• North America
• United States
• Canada
• Mexico
• Europe
• United Kingdom
• Germany
• France
• Italy
• Asia-Pacific
• China
• Japan
• India
• Australia
• Latin America
• Brazil
• Argentina
• Chile
• Middle East and Africa
• South Africa
• Saudi Arabia
• UAE

8. Market Dynamics

• Market Drivers
• Market Restraints
• Market Opportunities
• Impact of COVID-19 on the Market

9. Competitive Landscape

• Key Players
• Market Share Analysis

10. Company Profiles

• OpenText
• Covata
• Varonis
• Innovative Routines International (IRI)
• Informatica
• Dataguise
• Spirion
• Digital Guardian
• Amazon Web Services (AWS)
• Boldon James Ltd

11. Market Outlook and Opportunities

• Emerging Technologies
• Future Market Trends
• Investment Opportunities

12. Appendix

• List of Abbreviations
• Sources and References