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市场调查报告书

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1733749

2026 年至 2032 年资料分类市场（按组件、方法、应用、最终用户产业和地区划分）

Data Classification Market by Component, Methodology, Application, End-User Industry, & Region for 2026-2032

出版日期: 2025年04月30日 | 出版商:

Verified Market Research | 英文 202 Pages | 商品交期: 2-3个工作天内

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简介目录

资料分类市场评估 - 2026-2032

企业对有效、安全地处理大量资料的需求不断增长，加上资料外洩的可能性和监管挑战的增加，推动了资料分类市场的大幅扩张。根据 Verified Market Research 分析师预测，资料分类市场规模将在 2024 年下降约 16.6466 亿美元，预计 2032 年将达到 94.8625 亿美元的估值。

对可靠的资料管理解决方案的需求不断增长，这些解决方案有助于遵守严格的法规、保护敏感资料并优化资料利用率，这刺激了资料分类市场的快速扩张。这些解决方案使企业能够做出明智的决策，同时降低资料外洩和不当行为的风险。这将有助于市场在 2026 年至 2032 年期间以 24.3% 的复合年增长率成长。

资料分类市场定义/概述

资料分类是根据资料的类型、敏感度和相关性进行系统分组，以便更有效地管理、保护和搜寻。这种方法允许公司根据资料分类等级应用适当的安全措施，这对于确保法规遵循、提高资料安全性和促进风险管理至关重要。

此外，资料分类具有广泛的用途，包括网路安全（协助确定存取控制和保护措施）、合规管理（确保遵守 GDPR 等法律标准）以及业务效率（简化资料处理流程并消除冗余）。

哪些因素推动了资料分类市场的成长？

资料外洩的增加迫使企业建立强大的资料分类系统。根据身分盗窃资源中心的《2021 年年度资料外洩报告》，2021 年发生了 1,862 起资料外洩事件，超过了 2017 年记录的 1,506 起。这比 2020 年报告的 1,108 起资料外洩事件增加了 68%。

随着向云端运算的转变，需要改进资料分类以确保安全性和合规性。 Gartner 预测，到 2025 年，超过 95% 的新数位工作负载将在云端原生平台上实施，高于 2021 年的 30%。这种大规模迁移正在推动对改进资料分类技术的需求，以便在云端环境中管理和保护资料。

此外，日益严格的监管要求公司采用资料分类系统。据欧盟网路安全局 (ENISA) 称，自 2018 年 GDPR 生效以来，欧洲已报告了超过 281,000 起资料外洩事件，导致罚款超过 12.9 亿欧元，凸显了正确分类资料以确保合规和避免处罚的重要性。

阻碍资料分类市场成长的主要障碍是什么？

资料分类领域缺乏专家阻碍了资料分类市场的发展。开发成功的资料分类系统需要了解复杂的资料管理和安全措施。然而，现有的人才短缺使得公司难以找到合格的员工来设计和管理这些系统，从而导致资料分类工作延迟和效率低下。

此外，对于许多企业，尤其是中小型企业来说，实施资料分类系统的成本很高。现代技术、持续维护和员工培训的成本使预算紧张，导致公司推迟采用完整的数据分类策略，从而限制了市场成长。

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.

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

02-2729-4219

+886-2-2729-4219

License/价格

2026 年至 2032 年资料分类市场（按组件、方法、应用、最终用户产业和地区划分）

Data Classification Market by Component, Methodology, Application, End-User Industry, & Region for 2026-2032

资料分类市场评估 - 2026-2032

哪些因素推动了资料分类市场的成长？

阻碍资料分类市场成长的主要障碍是什么？

目录

第一章 引言

第二章执行摘要

第三章市场概述

第四章 资料分类市场（依分类方法）

第五章 资料分类市场（依产业垂直划分）

6. 依部署模式分類的资料分类市场

第七章区域分析

第八章市场动态

第九章 竞争态势

第十章 公司简介

第十一章 市场展望与机会

第十二章 附录

Data Classification Market Valuation - 2026-2032