세계의 데이터 분류 시장(2022-2032년) : 시장 규모 분석(컴포넌트별 및 분류법별, 용도별 및 업종별, 지역별)과 예측

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