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市场调查报告书
商品编码
1659534

全球资料分类市场规模研究，按组件、分类、应用、垂直和区域预测 2022-2032 年

Global Data Classification Market Size Study, by Component, Classification, Application, Vertical, and Regional Forecasts 2022-2032
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 285 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2023 年全球资料分类市场价值约为 14.4 亿美元，预计在 2024-2032 年预测期内将以惊人的 35.1% 的复合年增长率扩张。在资料即新货币的时代，企业越来越多地利用资料分类技术来分类、管理和保护其最有价值的资产资讯。结构化和非结构化资料的持续涌入，加上严格的监管要求，推动了高阶分类解决方案的采用，使组织能够加强资料安全，简化资料治理并提高营运效率。

随着网路威胁以惊人的速度发展，企业意识到资料分类在降低风险方面的重要性。随着公司努力遵守 GDPR、CCPA 和 HIPAA 等全球资料保护法，对即时分类、自动资料标记和人工智慧驱动的分类框架的需求正在激增。受向混合工作环境的快速转变和巨量资料分析的普及推动，基于云端的分类解决方案的投资也在增加。然而，实施的复杂性以及与现有 IT 生态系统的整合带来了巨大的挑战，可能会阻碍其广泛采用。儘管如此，人工智慧 (AI) 和机器学习 (ML) 演算法的不断进步有望弥补这些差距，促进智慧、自动化的资料分类模型。

区域市场趋势突显北美作为资料分类技术的主要中心，这主要是由于严格的监管审查、对网路安全基础设施的大量投资以及广泛的云端运算采用。尤其是美国，持续引领资料合规框架和风险管理解决方案的创新。同时，受数位转型加速、网路威胁加剧以及政府对资料保护的要求所推动，亚太地区预计将实现最快的成长率。中国、印度和日本等国家正在大力投资资料隐私计划，为大规模的市场扩张铺平了道路。

在欧洲，由于严格的监管框架和云端运算普及率的不断提高，德国、英国和法国等主要经济体对人工智慧分类工具的需求激增。中东和非洲以及拉丁美洲正在逐步赶上，这些地区的组织采用强有力的资料治理策略来打击资料外洩和网路威胁。随着全球企业继续优先考虑资料安全、法规遵循和数位信任，资料分类市场将在塑造安全资讯管理的未来方面发挥重要作用。

本报告包括的主要市场参与者：

  • IBM 公司
  • 微软公司
  • 亚马逊网路服务（AWS）
  • 谷歌有限责任公司
  • 赛门铁克公司（Broadcom Inc.）
  • 麦克菲有限责任公司
  • 甲骨文公司
  • Varonis Systems Inc.
  • 数位守护者
  • 思瑞恩有限公司
  • Fortra LLC（前身为 HelpSystems）
  • 博尔顿詹姆斯有限公司
  • PKWARE 公司
  • Netwrix 公司
  • BigID 公司

目录

第 1 章：全球资料分类市场执行摘要

  • 全球资料分类市场规模及预测（2022-2032 年）
  • 区域概况
  • 节段概要
    • {按组件和分类}
    • {按应用和垂直}
  • 主要趋势
  • 经济衰退的影响
  • 分析师建议与结论

第 2 章：全球资料分类市场定义与研究假设

  • 研究目标
  • 市场定义
  • 研究假设
    • 包容与排斥
    • 限制
    • 供给侧分析
      • 可用性
      • 基础设施
      • 监管环境
      • 市场竞争
      • 经济可行性（消费者的观点）
    • 需求面分析
      • 监理框架
      • 技术进步
      • 环境考虑
      • 消费者认知与接受度
  • 估算方法
  • 研究考虑的年份
  • 货币兑换率

第 3 章：全球资料分类市场动态

  • 市场驱动因素
    • 数据量和复杂度呈指数级增长
    • 严格的监管要求和合规需求
    • 对增强资料安全性和营运效率的需求不断增长
  • 市场挑战
    • 实施和与遗留系统整合的复杂性
    • 部署成本高且资源限制
  • 市场机会
    • 人工智慧和机器学习在自动分类方面的进步
    • 基于云端的数据解决方案的扩展
    • 新兴市场的采用与数位转型倡议

第 4 章：全球资料分类市场产业分析

  • 波特五力模型
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争对手
    • 波特五力模型的未来方法
    • 波特五力影响分析
  • PESTEL 分析
    • 政治的
    • 经济
    • 社会的
    • 科技
    • 环境的
    • 合法的
  • 最佳投资机会
  • 最佳获胜策略
  • 颠覆性趋势
  • 产业专家观点
  • 分析师建议与结论

第 5 章：全球资料分类市场规模和预测：按组件和分类 - 2022-2032 年

  • 细分仪表板
  • 全球资料分类市场：{组件和分类} 收入趋势分析，2022 年和 2032 年
    • 解决方案
    • 服务
    • 基于内容的分类
    • 基于上下文的分类
    • 基于使用者的分类

第 6 章：全球资料分类市场规模与预测：按应用和垂直产业 - 2022-2032 年

  • 细分仪表板
  • 全球资料分类市场：{应用与垂直} 收入趋势分析，2022 年与 2032 年
    • 存取控制
    • 资料治理与合规
    • 风险管理
    • 其他的
    • 资讯科技和电信
    • 金融保险业协会
    • 卫生保健
    • 政府
    • 零售与电子商务
    • 製造业
    • 其他的

第 7 章：全球资料分类市场规模与预测：按地区 - 2022-2032 年

  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 西班牙
    • 义大利
    • 欧洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 亚太其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 南非
    • MEA 其他地区

第 8 章：竞争情报

  • 重点公司 SWOT 分析
    • IBM Corporation
    • Microsoft Corporation
    • Amazon Web Services (AWS)
  • 顶级市场策略
  • 公司简介
    • IBM Corporation
      • 关键讯息
      • 概述
      • 财务（取决于数据可用性）
      • 产品概述
      • 市场策略
    • Microsoft Corporation
    • Amazon Web Services (AWS)
    • Google LLC
    • Symantec Corporation (Broadcom Inc.)
    • McAfee LLC
    • Oracle Corporation
    • Varonis Systems Inc.
    • Digital Guardian
    • Spirion LLC
    • Fortra LLC (Formerly HelpSystems)
    • Boldon James Ltd.
    • PKWARE, Inc.
    • Netwrix Corporation
    • BigID Inc.

第九章：研究过程

  • 研究进程
    • 资料探勘
    • 分析
    • 市场预测
    • 验证
    • 出版
  • 研究属性
简介目录

The global data classification market is valued at approximately USD 1.44 billion in 2023 and is projected to expand at a staggering CAGR of 35.1% over the forecast period 2024-2032. In an era where data is the new currency, businesses are increasingly leveraging data classification technologies to categorize, manage, and protect their most valuable asset-information. The growing influx of structured and unstructured data, coupled with stringent regulatory requirements, has propelled the adoption of advanced classification solutions that enable organizations to enforce data security, streamline data governance, and enhance operational efficiency.

With cyber threats evolving at an alarming pace, enterprises are recognizing the criticality of data classification in risk mitigation. The demand for real-time classification, automated data tagging, and AI-driven classification frameworks is surging as companies struggle to comply with global data protection laws, such as GDPR, CCPA, and HIPAA. Investments in cloud-based classification solutions are also on the rise, driven by the rapid shift towards hybrid work environments and the proliferation of big data analytics. However, the complexity of implementation and integration with existing IT ecosystems poses a significant challenge, potentially hindering widespread adoption. Despite this, continuous advancements in artificial intelligence (AI) and machine learning (ML) algorithms are expected to bridge these gaps, fostering intelligent, automated data classification models.

Regional market trends highlight North America as the leading hub for data classification technologies, primarily due to high regulatory scrutiny, significant investments in cybersecurity infrastructure, and widespread cloud adoption. The United States, in particular, continues to spearhead innovations in data compliance frameworks and risk management solutions. Meanwhile, Asia Pacific is anticipated to register the fastest growth rate, fueled by accelerated digital transformation, increasing cyber threats, and government mandates for data protection. Countries such as China, India, and Japan are investing heavily in data privacy initiatives, paving the way for massive market expansion.

In Europe, key economies like Germany, the UK, and France are witnessing a surge in demand for AI-powered classification tools, owing to strict regulatory frameworks and growing cloud penetration. The Middle East & Africa and Latin America are gradually catching up, with organizations in these regions adopting robust data governance strategies to combat data breaches and cyber threats. As enterprises across the globe continue to prioritize data security, regulatory compliance, and digital trust, the data classification market is set to play an instrumental role in shaping the future of secure information management.

Major Market Players Included in This Report:

  • IBM Corporation
  • Microsoft Corporation
  • Amazon Web Services (AWS)
  • Google LLC
  • Symantec Corporation (Broadcom Inc.)
  • McAfee LLC
  • Oracle Corporation
  • Varonis Systems Inc.
  • Digital Guardian
  • Spirion LLC
  • Fortra LLC (Formerly HelpSystems)
  • Boldon James Ltd.
  • PKWARE, Inc.
  • Netwrix Corporation
  • BigID Inc.

The Detailed Segments and Sub-Segment of the Market Are Explained Below:

By Component:

  • Solution
  • Services

By Classification:

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

By Application:

  • Access Control
  • Data Governance & Compliance
  • Risk Management
  • Others

By Vertical:

  • IT & Telecom
  • BFSI
  • Healthcare
  • Government
  • Retail & E-commerce
  • Manufacturing
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Rest of Asia Pacific
  • Latin America
  • Brazil
  • Mexico
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • Rest of MEA

Key Takeaways:

  • Market estimates & forecasts spanning 2022 to 2032
  • Annualized revenue projections & regional-level analysis for each market segment
  • Comprehensive examination of geographical landscape with country-level breakdown
  • Insights into competitive dynamics & major players shaping the market
  • Strategic recommendations on future market approaches
  • Demand-side & supply-side market analysis

Table of Contents

Chapter 1. Global Data Classification Market Executive Summary

  • 1.1. Global Data Classification Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. {By Component and Classification}
    • 1.3.2. {By Application and Vertical}
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Data Classification Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory Frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Data Classification Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Exponential Growth of Data Volume and Complexity
    • 3.1.2. Stringent Regulatory Requirements and Compliance Needs
    • 3.1.3. Growing Demand for Enhanced Data Security and Operational Efficiency
  • 3.2. Market Challenges
    • 3.2.1. Complexity of Implementation and Integration with Legacy Systems
    • 3.2.2. High Cost of Deployment and Resource Constraints
  • 3.3. Market Opportunities
    • 3.3.1. Advancements in AI and Machine Learning for Automated Classification
    • 3.3.2. Expansion of Cloud-Based Data Solutions
    • 3.3.3. Emerging Markets Adoption and Digital Transformation Initiatives

Chapter 4. Global Data Classification Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top Investment Opportunity
  • 4.4. Top Winning Strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Data Classification Market Size & Forecasts by Component and Classification 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Data Classification Market: {Component and Classification} Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 5.2.1. Solution
    • 5.2.2. Services
    • 5.2.3. Content-Based Classification
    • 5.2.4. Context-Based Classification
    • 5.2.5. User-Based Classification

Chapter 6. Global Data Classification Market Size & Forecasts by Application and Vertical 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Data Classification Market: {Application and Vertical} Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 6.2.1. Access Control
    • 6.2.2. Data Governance & Compliance
    • 6.2.3. Risk Management
    • 6.2.4. Others
    • 6.2.5. IT & Telecom
    • 6.2.6. BFSI
    • 6.2.7. Healthcare
    • 6.2.8. Government
    • 6.2.9. Retail & E-commerce
    • 6.2.10. Manufacturing
    • 6.2.11. Others

Chapter 7. Global Data Classification Market Size & Forecasts by Region 2022-2032

  • 7.1. North America Data Classification Market
    • 7.1.1. U.S. Data Classification Market
      • 7.1.1.1. {Component and Classification} Breakdown Size & Forecasts, 2022-2032
      • 7.1.1.2. {Application and Vertical} Breakdown Size & Forecasts, 2022-2032
    • 7.1.2. Canada Data Classification Market
  • 7.2. Europe Data Classification Market
    • 7.2.1. U.K. Data Classification Market
    • 7.2.2. Germany Data Classification Market
    • 7.2.3. France Data Classification Market
    • 7.2.4. Spain Data Classification Market
    • 7.2.5. Italy Data Classification Market
    • 7.2.6. Rest of Europe Data Classification Market
  • 7.3. Asia-Pacific Data Classification Market
    • 7.3.1. China Data Classification Market
    • 7.3.2. India Data Classification Market
    • 7.3.3. Japan Data Classification Market
    • 7.3.4. Australia Data Classification Market
    • 7.3.5. South Korea Data Classification Market
    • 7.3.6. Rest of Asia-Pacific Data Classification Market
  • 7.4. Latin America Data Classification Market
    • 7.4.1. Brazil Data Classification Market
    • 7.4.2. Mexico Data Classification Market
    • 7.4.3. Rest of Latin America Data Classification Market
  • 7.5. Middle East & Africa Data Classification Market
    • 7.5.1. Saudi Arabia Data Classification Market
    • 7.5.2. South Africa Data Classification Market
    • 7.5.3. Rest of MEA Data Classification Market

Chapter 8. Competitive Intelligence

  • 8.1. Key Company SWOT Analysis
    • 8.1.1. IBM Corporation
    • 8.1.2. Microsoft Corporation
    • 8.1.3. Amazon Web Services (AWS)
  • 8.2. Top Market Strategies
  • 8.3. Company Profiles
    • 8.3.1. IBM Corporation
      • 8.3.1.1. Key Information
      • 8.3.1.2. Overview
      • 8.3.1.3. Financial (Subject to Data Availability)
      • 8.3.1.4. Product Summary
      • 8.3.1.5. Market Strategies
    • 8.3.2. Microsoft Corporation
    • 8.3.3. Amazon Web Services (AWS)
    • 8.3.4. Google LLC
    • 8.3.5. Symantec Corporation (Broadcom Inc.)
    • 8.3.6. McAfee LLC
    • 8.3.7. Oracle Corporation
    • 8.3.8. Varonis Systems Inc.
    • 8.3.9. Digital Guardian
    • 8.3.10. Spirion LLC
    • 8.3.11. Fortra LLC (Formerly HelpSystems)
    • 8.3.12. Boldon James Ltd.
    • 8.3.13. PKWARE, Inc.
    • 8.3.14. Netwrix Corporation
    • 8.3.15. BigID Inc.

Chapter 9. Research Process

  • 9.1. Research Process
    • 9.1.1. Data Mining
    • 9.1.2. Analysis
    • 9.1.3. Market Estimation
    • 9.1.4. Validation
    • 9.1.5. Publishing
  • 9.2. Research Attributes