Report Details
Introduction
- Current Market Valuation: The global data-centric security market was valued at approximately USD 4.51 billion in 2023, reflecting a strong shift toward protecting data assets in decentralized IT environments.
- Projected Growth Rate: The market is expected to expand at a CAGR of around 23.7% through 2030, fueled by increasing cyber threats, regulatory compliance needs, and cloud adoption.
- Evolving Security Priorities: Enterprises are transitioning from perimeter-based defense to data-centric security models, ensuring data protection remains intact across networks, devices, and cloud platforms.
Gap Analysis – Global Data-Centric Security Market
- Fragmented Data Ecosystems: Organizations lack centralized visibility across multi-cloud, on-premise, and hybrid environments, leading to blind spots in data protection strategies.
- Legacy System Compatibility Issues: Modern data-centric solutions often face integration challenges with outdated infrastructure, leaving critical data assets vulnerable.
- Workforce Awareness Deficit: Limited employee training on secure data handling increases the risk of human error, insider threats, and non-compliance.
- Compliance Enforcement Gaps: Many enterprises are not fully equipped to adapt to evolving global data privacy regulations, lacking real-time policy implementation and audit capabilities.
- Unstandardized Data Classification: Inconsistent or absent data classification frameworks hinder the application of appropriate security measures across data types and storage locations.
- Scalability Limitations: Rapid data growth in large enterprises is not always matched by scalable security solutions, exposing sensitive information as environments expand.
- Cybersecurity Skills Shortage: A global talent gap in data-centric security expertise restricts effective deployment, configuration, and ongoing management of advanced tools.
Segmentation Overview: Global Data-Centric Security Market
1. By Component
1.1. Software
1.2. Services
2. By Deployment Mode
2.1. On-Premise
2.2. Cloud-Based
3. By Organization Size
3.1. Small and Medium Enterprises (SMEs)
3.2. Large Enterprises
4. By Application
4.1. Data Discovery and Classification
4.2. Data Protection
4.3. Data Governance and Compliance
4.4. Data Auditing and Monitoring
4.5. Data Loss Prevention (DLP)
5. By Industry Vertical
5.1. BFSI (Banking, Financial Services, and Insurance)
5.2. Healthcare
5.3. Government and Defense
5.4. IT and Telecom
5.5. Retail and E-commerce
5.6. Manufacturing
5.7. Education
5.8. Others
6. By Region
6.1. North America
6.1.1. United States
6.1.2. Canada
6.1.3. Mexico
6.2. Europe
6.2.1. United Kingdom
6.2.2. Germany
6.2.3. France
6.2.4. Italy
6.2.5. Spain
6.2.6. Rest of Europe
6.3. Asia-Pacific
6.3.1. China
6.3.2. India
6.3.3. Japan
6.3.4. South Korea
6.3.5. Australia
6.3.6. Rest of Asia-Pacific
6.4. Middle East and Africa
6.4.1. GCC Countries
6.4.2. South Africa
6.4.3. Rest of Middle East and Africa
6.5. Latin America
6.5.1. Brazil
6.5.2. Argentina
6.5.3. Rest of Latin America
7. Key Players in Global Data-Centric Security Market
7.1. IBM Corporation
7.2. Microsoft Corporation
7.3. Broadcom Inc. (Symantec)
7.4. McAfee, LLC
7.5. Informatica LLC
7.6. Forcepoint LLC
7.7. Varonis Systems, Inc.
7.8. Imperva Inc.
7.9. Netwrix Corporation
7.10. Thales Group
7.11. Micro Focus International plc
7.12. Amazon Web Services, Inc.
7.13. Google LLC
7.14. Digital Guardian
7.15. Seclore Technology Pvt. Ltd.
7.16. HelpSystems, LLC (Fortra)
7.17. Talend S.A.
7.18. Protegrity USA, Inc.
7.19. Hitachi Vantara LLC
7.20. Cisco Systems, Inc.
7.21 Others
Table of Contents (TOC)
1. Executive Summary
2. Research Methodology
3. Market Overview
3.1. Introduction
3.2. Market Definition
3.3. Market Dynamics
3.3.1. Drivers
3.3.2. Restraints
3.3.3. Opportunities
3.3.4. Challenges
3.4. Value Chain Analysis
3.5. Porter’s Five Forces Analysis
3.6. Regulatory Landscape
3.7. Pricing Analysis
3.8. Patent Analysis
3.9. COVID-19 & Geo-Political Impact Analysis
4. Market Size and Forecast
4.1. Market Value (USD Million)
4.2. Market Volume (if applicable)
4.3. Forecast Assumptions
5. Market Segmentation
5.1. By Component
5.1.1. Software
5.1.2. Services
5.2. By Deployment Mode
5.2.1. On-Premise
5.2.2. Cloud-Based
5.3. By Organization Size
5.3.1. Small and Medium Enterprises (SMEs)
5.3.2. Large Enterprises
5.4. By Application
5.4.1. Data Discovery and Classification
5.4.2. Data Protection
5.4.3. Data Governance and Compliance
5.4.4. Data Auditing and Monitoring
5.4.5. Data Loss Prevention (DLP)
5.5. By Industry Vertical
5.5.1. BFSI (Banking, Financial Services, and Insurance)
5.5.2. Healthcare
5.5.3. Government and Defense
5.5.4. IT and Telecom
5.5.5. Retail and E-commerce
5.5.6. Manufacturing
5.5.7. Education
5.5.8. Others
6. Regional Analysis
6.1. North America
6.1.1. United States
6.1.2. Canada
6.1.3. Mexico
6.2. Europe
6.2.1. United Kingdom
6.2.2. Germany
6.2.3. France
6.2.4. Italy
6.2.5. Spain
6.2.6. Rest of Europe
6.3. Asia-Pacific
6.3.1. China
6.3.2. India
6.3.3. Japan
6.3.4. South Korea
6.3.5. Australia
6.3.6. Rest of Asia-Pacific
6.4. Middle East and Africa
6.4.1. GCC Countries
6.4.2. South Africa
6.4.3. Rest of Middle East and Africa
6.5. Latin America
6.5.1. Brazil
6.5.2. Argentina
6.5.3. Rest of Latin America
7. Competitive Landscape
7.1. Market Share Analysis
7.2. Company Market Positioning
7.3. Strategic Initiatives (M&A, Partnerships, Product Launches)
7.4. SWOT Analysis
8. Key Players – Company Profiles
8.1. IBM Corporation
8.2. Microsoft Corporation
8.3. Broadcom Inc. (Symantec)
8.4. McAfee, LLC
8.5. Informatica LLC
8.6. Forcepoint LLC
8.7. Varonis Systems, Inc.
8.8. Imperva Inc.
8.9. Netwrix Corporation
8.10. Thales Group
8.11. Micro Focus International plc
8.12. Amazon Web Services, Inc.
8.13. Google LLC
8.14. Digital Guardian
8.15. Seclore Technology Pvt. Ltd.
8.16. HelpSystems, LLC (Fortra)
8.17. Talend S.A.
8.18. Protegrity USA, Inc.
8.19. Hitachi Vantara LLC
8.20. Cisco Systems, Inc.
9. Conclusion and Strategic Recommendations
10. Appendix
10.1. Glossary of Terms
10.2. Research Scope
10.3. References
10.4. List of Figures & Tables
Segmentation Overview: Global Data-Centric Security Market
1. By Component
1.1. Software
1.2. Services
2. By Deployment Mode
2.1. On-Premise
2.2. Cloud-Based
3. By Organization Size
3.1. Small and Medium Enterprises (SMEs)
3.2. Large Enterprises
4. By Application
4.1. Data Discovery and Classification
4.2. Data Protection
4.3. Data Governance and Compliance
4.4. Data Auditing and Monitoring
4.5. Data Loss Prevention (DLP)
5. By Industry Vertical
5.1. BFSI (Banking, Financial Services, and Insurance)
5.2. Healthcare
5.3. Government and Defense
5.4. IT and Telecom
5.5. Retail and E-commerce
5.6. Manufacturing
5.7. Education
5.8. Others
6. By Region
6.1. North America
6.1.1. United States
6.1.2. Canada
6.1.3. Mexico
6.2. Europe
6.2.1. United Kingdom
6.2.2. Germany
6.2.3. France
6.2.4. Italy
6.2.5. Spain
6.2.6. Rest of Europe
6.3. Asia-Pacific
6.3.1. China
6.3.2. India
6.3.3. Japan
6.3.4. South Korea
6.3.5. Australia
6.3.6. Rest of Asia-Pacific
6.4. Middle East and Africa
6.4.1. GCC Countries
6.4.2. South Africa
6.4.3. Rest of Middle East and Africa
6.5. Latin America
6.5.1. Brazil
6.5.2. Argentina
6.5.3. Rest of Latin America
7. Key Players in Global Data-Centric Security Market
7.1. IBM Corporation
7.2. Microsoft Corporation
7.3. Broadcom Inc. (Symantec)
7.4. McAfee, LLC
7.5. Informatica LLC
7.6. Forcepoint LLC
7.7. Varonis Systems, Inc.
7.8. Imperva Inc.
7.9. Netwrix Corporation
7.10. Thales Group
7.11. Micro Focus International plc
7.12. Amazon Web Services, Inc.
7.13. Google LLC
7.14. Digital Guardian
7.15. Seclore Technology Pvt. Ltd.
7.16. HelpSystems, LLC (Fortra)
7.17. Talend S.A.
7.18. Protegrity USA, Inc.
7.19. Hitachi Vantara LLC
7.20. Cisco Systems, Inc.
7.21 Others
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Frequently Asked Questions
Why is data-centric security becoming the “new perimeter” in enterprise cybersecurity strategies?
With the rise of hybrid workforces, cloud adoption, and sophisticated data breaches, traditional perimeter-based security is no longer sufficient. Organizations are shifting to data-centric models to protect sensitive data at its source—regardless of where it resides, how it moves, or who accesses it.
How do data-centric security solutions support compliance with evolving global data privacy regulations?
Modern data-centric security frameworks include features like data classification, policy-based encryption, and real-time monitoring—making it easier for organizations to comply with GDPR, CCPA, HIPAA, and upcoming AI-data governance laws across different geographies.
What role does AI and automation play in the future of data-centric security platforms?
AI-powered data protection tools are revolutionizing threat detection, risk scoring, and policy enforcement. Automation helps reduce manual errors, accelerate breach response, and adapt security controls in real-time as data risk profiles evolve.
Which industries are seeing the highest ROI from implementing data-centric security, and why?
BFSI, healthcare, and government sectors are experiencing substantial ROI due to the sensitive nature of their data and strict regulatory obligations. Data-centric approaches minimize insider threats, reduce data leakage incidents, and enhance digital trust.
How are cloud-native data-centric security solutions transforming enterprise security architecture?
Cloud-native platforms enable seamless protection across multi-cloud environments by embedding security directly into the data workflow. This facilitates scalable policy management, continuous compliance, and zero-trust enforcement across distributed systems.