데이터 분류 : 시장 점유율 분석, 산업 동향, 통계, 성장 예측(2025-2030년)

The data classification market size is currently generating USD 1.88 billion in 2025 and is forecast to reach USD 5.08 billion by 2030, translating into a 21.9% CAGR.

Rapid data growth, estimated at 328.77 million TB created every day, and tougher global privacy mandates are pushing enterprises to adopt real-time, AI-enabled data labeling that scales across hybrid cloud estates. AI-powered classification engines embedded in cloud-native architectures now detect sensitive information across unstructured repositories, while sovereign-cloud initiatives in Asia-Pacific propel regional demand. The rising threat landscape, where the average energy-sector breach cost hit USD 4.78 million in 2024, further underscores the urgency of automated governance. Investments by hyperscalers such as AWS and Microsoft in regional data centers add momentum by lowering latency and meeting residency rules.

Global Data Classification Market Trends and Insights

Expanding Global Privacy Mandates

European DORA rules and updated HIPAA standards shift compliance from scheduled audits to continuous verification, obliging firms to embed classification logic directly into data processing workflows. Multinational enterprises operating in multiple jurisdictions often apply the strictest global requirement as the baseline, which accelerates deployment of unified classification architectures. Financial institutions must meet anti-money-laundering reporting within minutes, increasing demand for policy-driven discovery. Similar pressure comes from Latin American data sovereignty statutes that align with GDPR. Together these mandates shorten procurement cycles, nudging even mid-sized firms toward SaaS-based tools that update policies automatically.

Explosive Growth of Unstructured Data and Breach Risk

Unstructured repositories grow 62% each year, leaving security teams blind to who holds sensitive records. Enterprises report excessive permissions on 82% of file shares, which exposes valuable designs and customer data. Energy utilities now see 1,100 weekly cyberattacks, and breach investigations show mis-classified documents as a root cause. Law practices suffer similar exposure because client files sit in shared drives without labels. AI-driven pattern recognition is increasingly chosen because static rule sets cannot keep pace with dynamic collaboration platforms.

Lack of Cross-Industry Taxonomy Standards

Financial regulators classify risk data differently from medical authorities, forcing vendors to maintain sector-specific rule libraries. Multinationals must reconcile GDPR terminology with China's definition of "important data" when transferring files. This fragmentation drives custom coding effort, increases vendor lock-in fears, and slows purchasing decisions. Industry alliances are drafting open schema proposals but adoption remains uneven. As a result, integrators earn sizeable revenue from mapping workshops rather than from pure software licenses.

Other drivers and restraints analyzed in the detailed report include:

1. Cloud-Native Data Classification Demand
2. AI/ML-Powered Auto-Classification Hitting Production at Scale
3. High Integration Cost in Legacy Estates

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Software continued to generate the highest revenue, translating into 68.5% of the data classification market in 2024. License sales centered on policy engines, discovery crawlers, and SaaS dashboards. Even so, professional and managed services are scaling at a 23.9% CAGR because enterprises need guidance to clear long-standing classification debt. Engagements often begin with multi-petabyte scans that feed remediation backlogs and stretch internal resources. Managed service providers supplement skill shortages by handling model retraining, regulatory updates, and ticket triage on a subscription basis. These contracts can span several years, which shifts spending from one-time capital expense to recurring OPEX. The approach resonates with boards seeking predictable budgets and audit-ready evidence. In monetary terms, services could represent USD 2.15 billion of the data classification market size by 2030, reflecting their strategic importance. Software vendors are therefore bundling advisory capacity into premium tiers to protect margins.

Second-generation implementations rely on continuous tuning rather than annual health checks. Service partners build DevSecOps pipelines that trigger classification whenever new data lands in object storage. They also codify shared taxonomies across business units, which compresses onboarding timelines for acquisitions. The trend broadens the data classification market because mid-tier firms can rent expertise instead of hiring scarce specialists. Vendor marketplaces now list curated service bundles that align to ISO 27001, HIPAA, or PCI templates, further democratizing adoption. As services revenue accelerates, system integrators are acquiring boutique consultancies to strengthen domain knowledge and secure wallet share.

Content-based inspection held 43.2% of spending in 2024 by leveraging regex and fingerprinting to flag intellectual property. Yet ML-driven and semantic models are compounding at a 22.8% CAGR by learning context from millions of labeled documents. Pattern-blind capabilities, such as transformer networks that analyze sentence structure, lift recall rates and cut false alerts. Microsoft Purview trains on global telemetry, which fuels regular model refreshes without customer action. Digital Guardian layers contextual signals like location and device posture on top of content clues, enabling risk-weighted tagging. Combined approaches now ship as pre-configured bundles so administrators can phase in new engines without business disruption.

Early adopters report that ML lifts reviewer productivity by 35%, as fewer items require human adjudication. Organizations with multilingual archives gain measurable benefit because semantic models handle language variance better than manual keyword lists. Vendors are opening APIs to integrate customer-specific ontologies, bringing bespoke accuracy without ground-up development. The shift boosts the data classification market because it turns what was once an elite capability into a SaaS checkbox. Training data nevertheless remains a bottleneck for niche domains, prompting some firms to share anonymized corpora under mutual-benefit agreements. Over the forecast horizon, ML adoption is expected to reduce time-to-value from quarters to weeks, cementing its role as the default methodology.

The Data Classification Market Report is Segmented by Component (Software and Services), Classification Method (Content-Based, Context-Based, and More), Organization Size (Large Enterprises and Small and Medium Enterprises (SMEs)), Application (Access Control and IAM, Governance and Compliance, and More), Industry Vertical (BFSI, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Geography Analysis

North America retained leadership with 41.0% of 2024 revenue because stringent regulations and early AI adoption pushed enterprises to modernize discovery programs. BigID's USD 60 million funding round in 2025 exemplifies venture appetite for solutions that automate data hygiene ahead of new SEC disclosure rules. Financial institutions deploy labeling to meet intraday reporting, while healthcare providers integrate tags into electronic medical records to comply with evolving HIPAA expansions. Canada's provincial privacy acts mirror federal requirements, reinforcing consistent demand. Mexico's tech clusters adopt cloud-hosted platforms to meet USMCA data-transfer clauses, though uptake concentrates in multinational subsidiaries.

Asia-Pacific is the fastest-growing region with a 22.5% CAGR, reflecting sovereign-cloud mandates and heavy infrastructure spending by hyperscalers. AWS pledged USD 6 billion to Malaysia and NTT committed USD 90 million to Bangkok data centers, creating local compute that reduces latency for policy engines. China proposes easing outbound data approval but still labels many datasets as "important," forcing dual controls. Japan and South Korea deploy classification in 5G manufacturing to protect trade secrets. India's IT-services exporters demand multi-tenant tagging to segregate client data, expanding the addressable pool of cloud subscribers.

Europe ranks a solid second by value, propelled by the Digital Operational Resilience Act that requires continuous control testing by 2025. Germany's Industry 4.0 plants tag operational data to safeguard intellectual property and comply with supply-chain security audits. The United Kingdom balances post-Brexit adequacy with domestic innovation rules, so firms monitor cross-border flows under dual policies. France promotes sovereign cloud zones to host public-sector workloads, while Italy tightens critical-infrastructure protections. Nordic countries, early GDPR adopters, now pilot confidential-computing chips that enable inline tagging without exposing clear text, positioning the region for next-wave innovation.

1. Amazon Web Services
2. Microsoft Corporation
3. IBM Corporation
4. Broadcom (Symantec)
5. Google LLC
6. OpenText (TITUS)
7. Thales Group
8. Fortra (Boldon James)
9. SECLORE
10. Digital Guardian
11. Forcepoint
12. Varonis Systems
13. BigID Inc.
14. Concentric AI
15. Netwrix Corporation
16. Spirion LLC
17. Immuta Inc.
18. OneTrust LLC
19. PKWARE Inc.
20. Palo Alto Networks

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Expanding global privacy mandates
  • 4.2.2 Explosive growth of unstructured data and breach risk
  • 4.2.3 Cloud-native data classification demand
  • 4.2.4 AI/ML-powered auto-classification hitting production at scale
  • 4.2.5 Confidential-computing chipsets enabling inline tagging
  • 4.2.6 GenAI safety requiring fine-grained data labeling
• 4.3 Market Restraints
  • 4.3.1 Lack of cross-industry taxonomy standards
  • 4.3.2 High integration cost in legacy estates
  • 4.3.3 "Classification debt" from synthetic data proliferation
  • 4.3.4 Homomorphic encryption delaying clear-text inspection
• 4.4 Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Bargaining Power of Suppliers
  • 4.7.2 Bargaining Power of Consumers
  • 4.7.3 Threat of New Entrants
  • 4.7.4 Threat of Substitute Products
  • 4.7.5 Intensity of Competitive Rivalry
• 4.8 Assessment of the Impact of Macroeconomic Trends on the Market

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Component
  • 5.1.1 Software
  • 5.1.2 Services
• 5.2 By Classification Method
  • 5.2.1 Content-based
  • 5.2.2 Context-based
  • 5.2.3 User-/Role-based
  • 5.2.4 ML-driven and Semantic
• 5.3 By Organization Size
  • 5.3.1 Large Enterprises
  • 5.3.2 Small and Medium Enterprises (SMEs)
• 5.4 By Application
  • 5.4.1 Access Control and IAM
  • 5.4.2 Governance and Compliance
  • 5.4.3 Email and Mobile Protection
• 5.5 By Industry Vertical
  • 5.5.1 BFSI
  • 5.5.2 Healthcare and Life Sciences
  • 5.5.3 Government and Defence
  • 5.5.4 IT and Telecom
  • 5.5.5 Energy and Utilities
  • 5.5.6 Other Industry Verticals
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 Europe
    • 5.6.2.1 Germany
    • 5.6.2.2 United Kingdom
    • 5.6.2.3 France
    • 5.6.2.4 Italy
    • 5.6.2.5 Spain
    • 5.6.2.6 Rest of Europe
  • 5.6.3 Asia-Pacific
    • 5.6.3.1 China
    • 5.6.3.2 Japan
    • 5.6.3.3 India
    • 5.6.3.4 South Korea
    • 5.6.3.5 Australia
    • 5.6.3.6 Rest of Asia-Pacific
  • 5.6.4 South America
    • 5.6.4.1 Brazil
    • 5.6.4.2 Argentina
    • 5.6.4.3 Rest of South America
  • 5.6.5 Middle East and Africa
    • 5.6.5.1 Middle East
    • 5.6.5.1.1 Saudi Arabia
    • 5.6.5.1.2 United Arab Emirates
    • 5.6.5.1.3 Turkey
    • 5.6.5.1.4 Rest of Middle East
    • 5.6.5.2 Africa
    • 5.6.5.2.1 South Africa
    • 5.6.5.2.2 Egypt
    • 5.6.5.2.3 Nigeria
    • 5.6.5.2.4 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
  • 6.4.1 Amazon Web Services
  • 6.4.2 Microsoft Corporation
  • 6.4.3 IBM Corporation
  • 6.4.4 Broadcom (Symantec)
  • 6.4.5 Google LLC
  • 6.4.6 OpenText (TITUS)
  • 6.4.7 Thales Group
  • 6.4.8 Fortra (Boldon James)
  • 6.4.9 SECLORE
  • 6.4.10 Digital Guardian
  • 6.4.11 Forcepoint
  • 6.4.12 Varonis Systems
  • 6.4.13 BigID Inc.
  • 6.4.14 Concentric AI
  • 6.4.15 Netwrix Corporation
  • 6.4.16 Spirion LLC
  • 6.4.17 Immuta Inc.
  • 6.4.18 OneTrust LLC
  • 6.4.19 PKWARE Inc.
  • 6.4.20 Palo Alto Networks

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment