Data Centric Security Market Trends and Forecast
The future of the global data centric security market looks promising with opportunities in the BFSI, IT & telecommunication, retail, government & public sector, and healthcare markets. The global data centric security market is expected to grow with a CAGR of 17.4% from 2025 to 2031. The major drivers for this market are the increasing data breaches across key sectors, the rising need for regulatory compliance measures, and the growing demand for sensitive data protection.
• Lucintel forecasts that, within the type category, managed is expected to witness higher growth over the forecast period.
• Within the application category, healthcare is expected to witness the highest growth.
• In terms of region, APAC is expected to witness the highest growth over the forecast period.
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Emerging Trends in the Data Centric Security Market
The data centric security market is evolving to address the complexities of modern data landscapes, with emerging trends focusing on intelligent data governance, dynamic protection, and enhanced visibility into data risks.
• AI-Powered Data Classification and Discovery: Leveraging Artificial Intelligence (AI) and Machine Learning (ML) to automate the classification of data based on sensitivity and to discover sensitive data across diverse repositories is a significant trend. This enhances accuracy and reduces manual effort in data governance.
• Dynamic Data Masking and Anonymization: The trend towards dynamic data masking and anonymization techniques, which transform data in real-time based on user roles and context, is gaining traction. This allows for data utilization while preserving privacy and security.
• Data Security Posture Management: DSPM solutions that provide visibility into data locations, security configurations, and access controls across multi-cloud and on-premises environments are becoming increasingly important for managing data security risks.
• Persistent Data Protection: Ensuring that security controls like encryption and access policies remain with the data, regardless of where it moves, is a key emerging trend. This "data follows security" approach is crucial for protecting data in distributed environments.
• Privacy-Enhancing Computation: Technologies like federated learning, secure multi-party computation, and homomorphic encryption, which enable data processing while preserving privacy, are gaining prominence in data centric security strategies.
These emerging trends—AI-powered data classification, dynamic data masking, DSPM, persistent data protection, and PEC—are reshaping the data centric security market. They are driving the development of more intelligent, adaptive, and privacy-preserving solutions for securing data in todayÄX%$%Xs complex digital ecosystems.
Recent Development in the Data Centric Security Market
The data centric security market has recently seen developments focused on providing more comprehensive visibility, control, and protection for data across its lifecycle and various storage locations.
• Enhanced Data Loss Prevention Capabilities: Recent advancements in DLP solutions include improved accuracy in identifying sensitive data, better integration with cloud applications, and more granular control over data movement and usage.
• Growth of Data Security Posture Management (DSPM) Platforms: ThereÄX%$%Xs been a significant rise in the adoption and sophistication of DSPM platforms that offer unified visibility into data risks across diverse environments, facilitating better security governance.
• Integration of Data Security with Identity and Access Management (IAM): More seamless integration between data centric security tools and IAM systems is emerging, enabling context-aware access control based on user identity and data sensitivity.
• Advancements in Data Encryption and Tokenization: Developments in encryption technologies, including format-preserving encryption, and increased use of tokenization are providing more flexible and effective ways to protect data at rest and in use.
• Focus on Data Observability for Security: Tools that provide enhanced observability into how data is being accessed, used, and moved are gaining traction, helping security teams detect and respond to data-related threats more effectively.
These recent developments in enhanced DLP, the growth of DSPM, integration with IAM, advancements in encryption/tokenization, and a focus on data observability are impacting the data centric security market by offering more holistic and effective approaches to securing sensitive information.
Strategic Growth Opportunities in the Data Centric Security Market
The increasing volume and complexity of data, coupled with evolving privacy regulations, present significant strategic growth opportunities within the data centric security market across various applications.
• Securing Data in Multi-Cloud Environments: As organizations increasingly adopt multi-cloud strategies, thereÄX%$%Xs a growing need for data centric security solutions that can consistently protect data across different cloud platforms.
• Protecting Data in Big Data and Analytics Platforms: The use of big data and analytics requires robust data centric security measures to ensure the privacy and integrity of large datasets used for analysis and AI/ML training.
• Enabling Secure Data Sharing and Collaboration: Solutions that allow organizations to securely share and collaborate on data internally and externally, while maintaining control and visibility, represent a significant growth opportunity.
• Data Security and Privacy for Remote Work: With the shift towards remote work, ensuring that sensitive data accessed and processed outside the traditional office environment remains secure is a growing area of focus.
• Compliance with Evolving Data Privacy Regulations: The continuous introduction and updates to data privacy regulations worldwide (e.g., GDPR, CCPA, local laws) create a sustained demand for data centric security solutions that facilitate compliance.
These strategic growth opportunities in securing multi-cloud environments, big data platforms, enabling secure data sharing, protecting remote work data, and ensuring regulatory compliance highlight the expanding and critical role of data centric security in todayÄX%$%Xs digital landscape.
Data Centric Security Market Driver and Challenges
The data centric security market is driven by the fundamental need to protect valuable data assets, while facing challenges related to the complexity of data environments and the evolving threat landscape.
The factors responsible for driving the data centric security market include:
1. Increasing Data Volumes and Velocity: The exponential growth of data and the speed at which it is generated and processed necessitate more effective data protection strategies.
2. Rising Frequency and Impact of Data Breaches: The high cost and reputational damage associated with data breaches underscore the importance of robust data centric security measures.
3. Stricter Data Privacy Regulations: Compliance requirements like GDPR and CCPA are compelling organizations to adopt stronger data protection practices.
4. Shift to Cloud Computing: The migration of data to the cloud necessitates data centric security controls that can operate effectively in these new environments.
5. Growing Awareness of Data as a Valuable Asset: Organizations increasingly recognize the value of their data, making its protection a business imperative.
Challenges in the data centric security market are:
1. Complexity of Identifying and Classifying Data: Accurately identifying and classifying the vast amounts of data organizations possess can be a complex and resource-intensive task.
2. Maintaining Data Security Across Distributed Environments: Ensuring consistent data security policies and enforcement across on-premises, cloud, and edge environments is a significant challenge.
3. Balancing Security with Data Usability: Implementing strong data security measures must be balanced with the need to allow legitimate users to access and utilize data effectively.
The data centric security market is driven by increasing data volumes, the impact of breaches, stricter regulations, the shift to the cloud, and the recognition of dataÄX%$%Xs value. Overcoming challenges in data identification/classification, security across distributed environments, and balancing security with usability is crucial for its continued growth and effectiveness.
List of Data Centric Security Companies
Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies data centric security companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the data centric security companies profiled in this report include-
• IBM
• Imperva
• Informatica
• Oracle
• Varonis Systems
• AvePoint
• BlueTalon
• Dataguise
• Datiphy
• Micro Focus
Data Centric Security Market by Segment
The study includes a forecast for the global data centric security market by type, application, and region.
Data Centric Security Market by Type [Value from 2019 to 2031]:
• Professional
• Managed
Data Centric Security Market by Application [Value from 2019 to 2031]:
• BFSI
• IT & Telecommunications
• Retail
• Government & Public Sector
• Healthcare
• Others
Data Centric Security Market by Region [Value from 2019 to 2031]:
• North America
• Europe
• Asia Pacific
• The Rest of the World
Country Wise Outlook for the Data Centric Security Market
The data centric security market is gaining prominence as organizations recognize the limitations of perimeter-based security in protecting increasingly distributed data. Recent developments across nations focus on advanced data classification, persistent data protection, and granular access control to secure sensitive information wherever it resides.
• United States: The US market is witnessing significant advancements in data loss prevention (DLP) and data security posture management (DSPM) solutions with enhanced data classification and encryption capabilities. ThereÄX%$%Xs a strong emphasis on securing data in multi-cloud environments and adopting zero-trust principles with a data centric focus.
• China: ChinaÄX%$%Xs data centric security developments are closely aligned with national cybersecurity initiatives, emphasizing data localization and the use of domestic security technologies. Recent trends include the implementation of stricter data governance frameworks and the integration of data centric security into cloud services and big data platforms.
• Germany: Germany, with its strong data privacy regulations (GDPR), is driving innovation in privacy-enhancing technologies and data centric security solutions that ensure compliance. Recent developments include advancements in data masking, anonymization techniques, and solutions that provide granular control over personal data access.
• India: The Indian data centric security market is growing, spurred by increasing digital transformation and the need to protect sensitive data across various sectors. Recent developments include greater adoption of data classification tools and a rising awareness of the importance of data residency and sovereignty.
• Japan: JapanÄX%$%Xs approach to data centric security emphasizes precision and integration with existing IT infrastructure. Recent developments include advancements in data encryption technologies and a focus on solutions that provide fine-grained access control while maintaining data usability across different business processes
Features of the Global Data Centric Security Market
Market Size Estimates: Data centric security market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2019 to 2024) and forecast (2025 to 2031) by various segments and regions.
Segmentation Analysis: Data centric security market size by type, application, and region in terms of value ($B).
Regional Analysis: Data centric security market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the data centric security market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the data centric security market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
FAQ
Q1. What is the growth forecast for data centric security market?
Answer: The global data centric security market is expected to grow with a CAGR of 17.4% from 2025 to 2031.
Q2. What are the major drivers influencing the growth of the data centric security market?
Answer: The major drivers for this market are the increasing data breaches across key sectors, the rising need for regulatory compliance measures, and the growing demand for sensitive data protection.
Q3. What are the major segments for data centric security market?
Answer: The future of the data centric security market looks promising with opportunities in the BFSI, IT & telecommunication, retail, government & public sector, and healthcare markets.
Q4. Who are the key data centric security market companies?
Answer: Some of the key data centric security companies are as follows:
• IBM
• Imperva
• Informatica
• Oracle
• Varonis Systems
• AvePoint
• BlueTalon
• Dataguise
• Datiphy
• Micro Focus
Q5. Which data centric security market segment will be the largest in future?
Answer: Lucintel forecasts that, within the type category, managed is expected to witness higher growth over the forecast period.
Q6. In data centric security market, which region is expected to be the largest in next 5 years?
Answer: In terms of region, APAC is expected to witness the highest growth over the forecast period.
Q7. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.
This report answers following 11 key questions:
Q.1. What are some of the most promising, high-growth opportunities for the data centric security market by type (professional and managed), application (BFSI, IT & telecommunications, retail, government & public sector, healthcare, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
For any questions related to Data Centric Security Market, Data Centric Security Market Size, Data Centric Security Market Growth, Data Centric Security Market Analysis, Data Centric Security Market Report, Data Centric Security Market Share, Data Centric Security Market Trends, Data Centric Security Market Forecast, Data Centric Security Companies, write Lucintel analyst at email: helpdesk@lucintel.com. We will be glad to get back to you soon.