Global Data-Centric Security Market Growth, Share, Size, Trends and Forecast (2025 - 2031)
By Component;
Solutions and Services.By Deployment Type;
On-Premises and Cloud.By Organization Size;
Large Enterprises and Small & Medium-Sized Enterprises.By Vertical;
BFSI, Telecom & IT, Healthcare, Government & Defense, Retail, Manufacturing, Energy & Utilities, and Others.By Geography;
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America - Report Timeline (2021 - 2031).Data-Centric Security Market Overview
Data-Centric Security Market (USD Million)
Data-Centric Security Market was valued at USD 5,981.70 million in the year 2024. The size of this market is expected to increase to USD 26,660.56 million by the year 2031, while growing at a Compounded Annual Growth Rate (CAGR) of 23.8%.
Global Data-Centric Security Market Growth, Share, Size, Trends and Forecast
*Market size in USD million
CAGR 23.8 %
Study Period | 2025 - 2031 |
---|---|
Base Year | 2024 |
CAGR (%) | 23.8 % |
Market Size (2024) | USD 5,981.70 Million |
Market Size (2031) | USD 26,660.56 Million |
Market Concentration | Low |
Report Pages | 370 |
Major Players
- IBM
- Imperva
- Informatica
- Oracle
- Varonis Systems
- Avepoint
- Bluetalon
- Dataguise
- Datiphy
Market Concentration
Consolidated - Market dominated by 1 - 5 major players
Global Data-Centric Security Market
Fragmented - Highly competitive market without dominant players
The Data-Centric Security Market is experiencing rapid evolution driven by increasing concerns over sensitive data breaches and insider threats. Organizations are shifting from perimeter-based security to data-first protection strategies, enabling more granular control over information. With more than 68% of enterprises adopting data-centric approaches, the focus has moved toward encryption, tokenization, and robust access controls across hybrid infrastructures.
Adoption Drivers
The rise in cloud computing, remote workforces, and compliance requirements has significantly influenced demand for data-centric solutions. Nearly 75% of enterprises report prioritizing data security over traditional endpoint protection. The integration of AI and automation in managing data privacy and detection of anomalous behavior has further boosted market traction across various sectors.
Technology Evolution
Advanced technologies such as data discovery, data loss prevention, and behavior analytics are being deployed to secure structured and unstructured data. Over 60% of enterprises have implemented classification tools to categorize sensitive data effectively. This transformation is fueling investments in tools that deliver visibility, context, and policy enforcement at the data level, regardless of storage location.
Market Momentum
The market shows strong growth potential with over 55% of firms planning to increase data-centric security budgets. Continuous advancements in zero-trust architectures and integrated data governance are reinforcing the market's expansion. As digital transformation intensifies, the demand for scalable and identity-aware data protection solutions remains consistently high.
Data-Centric Security Market Recent Developments
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In May 2023, A new data center in Mumbai has been opened by the California-based cyber security firm Trellix to assist clients in adhering to compliance and data residency rules. According to a statement from the company, opening the new data center will give customers access to a scalable cloud-native architecture.
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In May 2022, The cloud-based secure access provider Duo established its first data center in India in Mumbai to satisfy data localization needs and assist customers in strengthening their cyber defenses. The opening of the data center is a component of the duo's international expansion plan. The duo is now a part of Cisco.
Segment Analysis
The global data-centric security market is segmented based on components, including solutions and services, and deployment types. Solutions are divided into data protection, data governance, and data auditing, each playing a crucial role in securing sensitive data from various threats. Data protection ensures the safeguarding of data through encryption, backup, and disaster recovery techniques. Data governance helps organizations manage their data by ensuring compliance with regulations and ensuring proper data handling protocols. Data auditing enables tracking and monitoring of data usage to ensure compliance and detect any unauthorized access or manipulation. The services segment consists of professional services and managed services, providing organizations with expert guidance and ongoing support for implementing and maintaining data-centric security solutions.
Deployment types in the data-centric security market are classified into on-premises and cloud-based solutions. On-premises solutions offer the advantage of more control over data security and management, as they are hosted within the organization's infrastructure. This is particularly preferred by large enterprises that require strict compliance with regulations and need to maintain sensitive data within their own networks. On the other hand, cloud-based solutions are gaining traction due to their scalability, cost-efficiency, and flexibility. Small and medium-sized enterprises (SMEs) are particularly inclined towards cloud deployment as it reduces the need for significant upfront investment in infrastructure and enables access to advanced security features without the burden of managing them internally.
The market also segments by organization size, distinguishing between large enterprises and small and medium-sized enterprises (SMEs). Large enterprises tend to have more complex data security needs due to the scale and sensitivity of their operations. They typically prefer on-premises solutions for better control over their data security practices and compliance requirements. SMEs, however, are increasingly adopting cloud-based solutions as they offer more cost-effective and scalable options. The adoption rate of data-centric security solutions is expected to rise significantly among SMEs as they become more aware of the need for protecting their data from cyber threats and comply with growing regulatory requirements.
Geographically, the data-centric security market is spread across North America, Europe, Asia Pacific, the Middle East and Africa, and Latin America. North America is expected to dominate the market due to the high adoption rate of advanced security solutions and the presence of major players in the region. Europe also represents a significant market share, driven by stringent data protection regulations such as GDPR, pushing organizations to invest in comprehensive data security measures. The Asia Pacific region is experiencing rapid growth as organizations increasingly recognize the importance of data protection in the wake of digital transformation. Meanwhile, emerging markets in the Middle East, Africa, and Latin America are gradually adopting data-centric security solutions as they digitize their infrastructures and deal with rising cyber threats.
Global Data-Centric Security SegmentAnalysis
In this report, the global data-centric security market has been segmented by Component, Deployment Type, Organization Size, Vertical and Geography.
Global Data-Centric Security Market, Segmentation by Component
The Global Data-Centric Security Market has been segmented by Component into Solutions and Services.
The Global Data-Centric Security Market, segmented by Component into Solutions and Services, highlights the comprehensive approach organizations take to protect sensitive data at its core across various industries and sectors.
Solutions in the data-centric security market encompass a range of technologies designed to secure data throughout its lifecycle. These include encryption solutions, which encrypt data at rest and in transit to prevent unauthorized access. Encryption ensures that even if data is intercepted or accessed without authorization, it remains unreadable and unusable to unauthorized parties. Another key component is tokenization, which replaces sensitive data with non-sensitive equivalents called tokens. Tokenization helps protect data without requiring encryption and is often used in payment processing and other applications where data must remain searchable.
Complementary to solutions, data-centric security services play a crucial role in supporting organizations' efforts to protect their data effectively. These services include consulting, implementation, integration, and support services provided by vendors and third-party providers. Consulting services help organizations assess their data security needs, develop strategies, and select appropriate solutions. Implementation and integration services ensure that data-centric security solutions are deployed correctly within the organization's IT environment, integrating seamlessly with existing systems and applications. Support services provide ongoing maintenance, updates, and troubleshooting to optimize the performance and effectiveness of data-centric security measures.
The segmentation of the Global Data-Centric Security Market into Solutions and Services reflects the growing recognition of data as a critical asset that requires proactive protection against cyber threats and regulatory requirements. By investing in both robust solutions and comprehensive services, organizations can enhance their data security posture, mitigate risks associated with data breaches, and ensure compliance with stringent data protection regulations across different regions and industries.
Global Data-Centric Security Market, Segmentation by Deployment Type
The Global Data-Centric Security Market has been segmented by Deployment Type into On-premises and Cloud.
The Global Data-Centric Security Market, segmented by Deployment Type into On-premises and Cloud, reflects the diverse strategies organizations employ to safeguard sensitive data across different IT environments.
On-premises deployment involves hosting data-centric security solutions within an organization's own physical infrastructure. This deployment type offers organizations greater control over their data security measures, including encryption, access controls, and monitoring capabilities. It is preferred by industries with stringent data security requirements, such as government, healthcare, and financial services, where data sovereignty and regulatory compliance are critical considerations. On-premises deployment allows organizations to maintain data within their premises, minimizing risks associated with data exposure and ensuring compliance with industry-specific regulations.
In contrast, cloud deployment leverages third-party cloud service providers to host data-centric security solutions over the internet. Cloud-based data-centric security solutions offer scalability, flexibility, and reduced operational overhead, making them attractive to organizations seeking to optimize IT resources and achieve cost efficiencies. Cloud providers offer robust security measures, including encryption, data loss prevention (DLP), and identity and access management (IAM), ensuring data protection across diverse IT environments and geographic regions. This deployment model is particularly beneficial for businesses undergoing digital transformation initiatives, enabling rapid deployment of security solutions and seamless integration with cloud-based applications and services.
The choice between on-premises and cloud deployment in the Global Data-Centric Security Market depends on factors such as organizational security policies, regulatory requirements, data sensitivity, and operational preferences. While on-premises deployment offers maximum control and customization over data security measures, cloud deployment provides agility, scalability, and accessibility to advanced security technologies without the need for extensive infrastructure investments. Ultimately, organizations must evaluate their specific security needs and business objectives to determine the most suitable deployment strategy that aligns with their overall data protection and operational goals.
Global Data-Centric Security Market, Segmentation by Organization Size
The Global Data-Centric Security Market has been segmented by Organization Size into Large enterprises and Small and Medium-sized Enterprises.
The Global Data-Centric Security Market, segmented by Organization Size into Large Enterprises and Small and Medium-sized Enterprises (SMEs), addresses the distinct data security needs and capabilities of businesses across different scales.
Large Enterprises, characterized by their extensive operations and significant data volumes, face complex data security challenges. These organizations typically operate across multiple departments, geographic locations, and IT environments, necessitating robust data-centric security solutions. Large enterprises prioritize comprehensive approaches to data protection, including advanced encryption technologies, access controls, and continuous monitoring to safeguard sensitive information. They often have dedicated IT security teams and resources to implement and manage sophisticated security measures that comply with industry regulations and mitigate risks associated with data breaches and cyber threats.
Conversely, Small and Medium-sized Enterprises (SMEs) encounter different challenges in data-centric security. SMEs typically have limited IT budgets, resources, and technical expertise compared to larger counterparts. As a result, they may face greater difficulty in implementing and maintaining comprehensive data security measures. However, SMEs are increasingly targeted by cybercriminals due to perceived vulnerabilities, making robust data protection essential. Cloud-based data-centric security solutions offer SMEs cost-effective options to enhance data security without substantial upfront investments in infrastructure. These solutions provide scalability, flexibility, and access to enterprise-grade security features, such as encryption and threat detection, tailored to SMEs' operational needs and regulatory requirements.
The segmentation of the Global Data-Centric Security Market by Organization Size underscores the importance of tailored security solutions that address the specific challenges and priorities of large enterprises and SMEs. While large enterprises focus on scalability and rigorous compliance with regulatory frameworks, SMEs prioritize affordability and accessibility to effective security technologies. Both segments benefit from continuous advancements in data-centric security solutions that adapt to evolving cyber threats and regulatory landscapes, ensuring comprehensive protection of sensitive data and maintaining trust with customers and stakeholders alike.
Global Data-Centric Security Market, Segmentation by Vertical
The Global Data-Centric Security Market has been segmented by Vertical into Banking, Financial Services, and Insurance (BFSI), Telecom and IT, Healthcare, Government and defense, Retail, Manufacturing, Energy and utilities and Others.
The BFSI sector utilizes case management systems for fraud detection, customer dispute resolution, and compliance with financial regulations such as anti-money laundering (AML) and Know Your Customer (KYC) protocols. Government agencies leverage these systems for citizen services, regulatory enforcement, and legal case management, optimizing efficiency and transparency in public administration.
In healthcare, case management solutions facilitate patient care coordination, medical records management, and compliance with healthcare regulations like HIPAA. IT and telecom companies utilize these systems for incident and problem management, ensuring quick resolution of service disruptions and minimizing operational downtime.
Retail and manufacturing sectors employ case management to handle customer complaints, product recalls, and supply chain issues efficiently, enhancing customer satisfaction and operational resilience. Other industries such as education, energy, and legal services also benefit from customized case management solutions tailored to their specific operational challenges and compliance requirements.
Across these verticals, the adoption of case management solutions is driven by the need to improve operational efficiency, enhance customer service, and ensure regulatory compliance. Vendors in the market continue to innovate with industry-specific features and integrations, supporting organizations in achieving their strategic goals amidst evolving market dynamics and competitive pressures.
Global Data-Centric Security Market, Segmentation by Geography
In this report, the Global Data-Centric Security Market has been segmented by Geography into five regions; North America, Europe, Asia Pacific, Middle East and Africa and Latin America.
Global Data-Centric Security Market Share (%), by Geographical Region, 2024
The Global Data-Centric Security Market, segmented by Geography, encompasses regional dynamics that influence the adoption and implementation of data-centric security solutions across different parts of the world.
North America holds a significant share in the global data-centric security market, driven by stringent regulatory requirements, such as GDPR in Europe and CCPA in California, which mandate robust data protection measures. The region is home to leading technology companies and financial institutions that prioritize data security to safeguard sensitive information from cyber threats. Moreover, the increasing prevalence of data breaches and cyberattacks further fuels the demand for advanced encryption, access control, and data masking solutions in North America.
Europe follows closely, characterized by its proactive stance on data privacy and protection. The implementation of GDPR has accelerated investments in data-centric security solutions among businesses operating within the European Union (EU) to comply with stringent data protection standards. European organizations across sectors such as healthcare, finance, and government are adopting encryption technologies and data-centric security frameworks to mitigate risks associated with data breaches and ensure compliance with GDPR requirements. Additionally, the region's emphasis on digital transformation initiatives and cloud adoption drives the deployment of scalable and agile security solutions.
Asia Pacific is witnessing rapid growth in the data-centric security market due to increasing digitalization, widespread adoption of cloud services, and rising cyber threats. Countries like China, India, Japan, and South Korea are investing in cybersecurity infrastructure to address vulnerabilities and strengthen data protection measures. Organizations in sectors such as banking, telecommunications, and healthcare are adopting encryption and data-centric security solutions to safeguard critical data assets from cyber threats and regulatory scrutiny. The region's expanding IT landscape and regulatory reforms contribute to the growing adoption of advanced security technologies tailored to address regional cybersecurity challenges.
In summary, segmentation by Geography in the Global Data-Centric Security Market highlights regional variations in regulatory landscapes, cybersecurity priorities, and adoption rates of data-centric security solutions. Organizations worldwide are increasingly prioritizing data protection to mitigate risks, comply with regulations, and maintain trust with stakeholders in an evolving digital environment.
Market Trends
This report provides an in depth analysis of various factors that impact the dynamics of Global Data-Centric Security Market. These factors include; Market Drivers, Restraints and Opportunities Analysis.
Drivers, Restraints and Opportunity Analysis
Drivers:
- Increasing Cyber Threats
- Stringent Data Regulations
- Digital Transformation
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Cloud Adoption: Cloud adoption has become a pivotal strategy for organizations seeking to enhance agility, scalability, and cost-efficiency in managing their IT infrastructure and services. By transitioning from traditional on-premises setups to cloud environments offered by providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), businesses can streamline operations, improve resource utilization, and gain access to advanced technologies without heavy upfront investments in hardware and software.
One of the primary drivers of cloud adoption is the scalability it offers. Cloud platforms allow organizations to quickly scale their computing resources up or down based on fluctuating demands, ensuring optimal performance and cost-effectiveness. This scalability is particularly advantageous for businesses experiencing seasonal spikes in workload or rapid growth scenarios, as they can easily adjust their infrastructure without the delays and costs associated with procuring and maintaining physical servers.
The cloud adoption enables enhanced flexibility and accessibility to data and applications. With cloud services, employees can access corporate data and applications from any location with internet access, facilitating remote work and collaboration. This flexibility supports modern work environments and enables organizations to respond swiftly to market changes and customer needs. Moreover, cloud providers offer robust security measures, data backup solutions, and compliance certifications, addressing concerns about data protection and regulatory compliance that are crucial in today's digital landscape.
Restraints:
- Complexity of Integration
- Skills Shortage
- Cost of Implementation
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Legacy Systems Compatibility: Legacy systems compatibility presents a significant challenge for organizations looking to modernize their IT infrastructure or integrate new technologies. These legacy systems, often outdated in terms of technology and architecture, may not seamlessly integrate with modern software applications, cloud services, or advanced IT solutions. This compatibility issue can lead to operational inefficiencies, increased maintenance costs, and limited agility in responding to market demands and technological advancements.
The complexity arises because legacy systems typically use proprietary technologies, outdated programming languages, or lack standardized interfaces that modern applications require. As organizations adopt digital transformation initiatives or migrate to cloud environments, they often face the dilemma of either replacing entire legacy systems—which can be costly and disruptive—or investing in middleware and integration tools to bridge the gap between old and new technologies.
Maintaining compatibility with legacy systems poses security risks and compliance challenges. These systems may lack the robust security features and encryption protocols needed to protect sensitive data in today's cyber threat landscape. Additionally, regulatory requirements such as GDPR, HIPAA, and PCI DSS impose stringent data protection standards that legacy systems may struggle to meet without significant upgrades or enhancements.
Addressing legacy systems compatibility requires strategic planning, investment in interoperability solutions, and careful consideration of business continuity and security implications. Organizations must weigh the costs and benefits of modernization efforts while ensuring that critical business operations remain uninterrupted and data integrity and security are maintained throughout the transition process.
Opportunities:
- IoT Security Needs
- AI and ML Integration
- Hybrid Cloud Solutions
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Regulatory Compliance: Regulatory compliance refers to the adherence of organizations to laws, regulations, guidelines, and standards relevant to their industry or operations. These regulations are imposed by governmental bodies or industry authorities to ensure ethical practices, protect consumers, maintain data privacy, and promote fair competition. Compliance requirements vary widely across sectors and geographic regions, covering areas such as data protection, financial reporting, product safety, environmental protection, and more.
For businesses, achieving regulatory compliance is not just a matter of legal obligation but also critical for maintaining trust with stakeholders, avoiding fines or legal penalties, and safeguarding their reputation. Organizations must implement policies, procedures, and controls that align with applicable regulations, regularly monitor compliance status, and adapt to evolving regulatory landscapes. This includes conducting audits, assessments, and training programs to ensure employees understand and adhere to compliance requirements.
In today's digital age, regulatory compliance has become increasingly complex, particularly with the rapid growth of data privacy laws like GDPR in Europe and CCPA in California. These regulations impose stringent requirements on how organizations collect, store, process, and protect personal data, necessitating robust data governance practices and effective security measures such as encryption, access controls, and data masking. Proactively managing regulatory compliance not only mitigates legal and financial risks but also demonstrates corporate responsibility and commitment to ethical business practices in an increasingly regulated global marketplace.
Competitive Landscape Analysis
Key players in Global Data-Centric Security Market include:
- IBM
- Imperva
- Informatica
- Oracle
- Varonis Systems
- Avepoint
- Bluetalon
- Dataguise
- Datiphy
In this report, the profile of each market player provides following information:
- Company Overview and Product Portfolio
- Key Developments
- Financial Overview
- Strategies
- Company SWOT Analysis
- Introduction
- Research Objectives and Assumptions
- Research Methodology
- Abbreviations
- Market Definition & Study Scope
- Executive Summary
- Market Snapshot, By Component
- Market Snapshot, By Deployment Type
- Market Snapshot, By Organization Size
- Market Snapshot, By Vertical
- Market Snapshot, By Region
- Data-Centric Security Market Dynamics
- Drivers, Restraints and Opportunities
- Drivers
- Increasing Cyber Threats
- Stringent Data Regulations
- Digital Transformation
- Cloud Adoption
- Restraints
- Complexity of Integration
- Skills Shortage
- Cost of Implementation
- Legacy Systems Compatibility
- Opportunities
- IoT Security Needs
- AI and ML Integration
- Hybrid Cloud Solutions
- Regulatory Compliance
- Drivers
- PEST Analysis
- Political Analysis
- Economic Analysis
- Social Analysis
- Technological Analysis
- Porter's Analysis
- Bargaining Power of Suppliers
- Bargaining Power of Buyers
- Threat of Substitutes
- Threat of New Entrants
- Competitive Rivalry
- Drivers, Restraints and Opportunities
- Market Segmentation
- Data-Centric Security Market, By Component, 2021 - 2031 (USD Million)
- Solutions
- Services
- Data-Centric Security Market, By Deployment Type, 2021 - 2031 (USD Million)
- On-premises
- Cloud
- Data-Centric Security Market, By Organization Size, 2021 - 2031 (USD Million)
- Large Enterprises
- Small & Medium-Sized Enterprises
- Data-Centric Security Market, By Vertical, 2021 - 2031 (USD Million)
- BFSI
- Healthcare
- Government & Public Sector
- Retail & E-Commerce
- IT & Telecom
- Aerospace & Defense
- Others
- Data-Centric Security Market, By Geography, 2021 - 2031 (USD Million)
- North America
- United States
- Canada
- Europe
- Germany
- United Kingdom
- France
- Italy
- Spain
- Nordic
- Benelux
- Rest of Europe
- Asia Pacific
- Japan
- China
- India
- Australia & New Zealand
- South Korea
- ASEAN (Association of South East Asian Countries)
- Rest of Asia Pacific
- Middle East & Africa
- GCC
- Israel
- South Africa
- Rest of Middle East & Africa
- Latin America
- Brazil
- Mexico
- Argentina
- Rest of Latin America
- North America
- Data-Centric Security Market, By Component, 2021 - 2031 (USD Million)
- Competitive Landscape
- Company Profiles
- IBM
- Imperva
- Informatica
- Oracle
- Varonis Systems
- Avepoint
- Bluetalon
- Dataguise
- Datiphy
- Company Profiles
- Analyst Views
- Future Outlook of the Market