Data Centric Security Market by Component, Function, Deployment Mode, Organization Size, Vertical

List of Tables

[194 Pages Report] The Data Centric Security Market size was estimated at USD 6.29 billion in 2023 and expected to reach USD 6.97 billion in 2024, at a CAGR 11.18% to reach USD 13.22 billion by 2030.

Data-centric security is an approach that emphasizes the protection of data itself rather than focusing solely on protecting networks, servers, or applications. This paradigm shift prioritizes safeguarding data throughout its lifecycle, ensuring its integrity, confidentiality, and accessibility, irrespective of the location of the data or the interactions it may undergo. Core components of data-centric security include data discovery and classification, data obfuscation techniques, robust access controls, and continuous monitoring for malicious activities or anomalies. Rising data security risks across organizations require industries to adopt the security solutions fueling market growth. The growing adoption of technology across sectors and supportive government regulations for data security has further fueled the market demand. However, limitations in data-centric techniques and the high cost associated with data-centric security system installations hamper its market growth. The rise of advanced technologies such as cloud computing, the IoT, big data analytics, and artificial intelligence significantly shapes the data-centric security market.

KEY MARKET STATISTICS
Base Year [2023]	USD 6.29 billion
Estimated Year [2024]	USD 6.97 billion
Forecast Year [2030]	USD 13.22 billion
CAGR (%)	11.18%

Component: Potential utilization of data-centric security software & solutions

These services primarily embody consultation, system integration, support, and maintenance services. The data indicates strong growth in adopting such services to facilitate efficient data protection strategies and conforming to regulatory requirements. Moreover, organizations often leverage these services to upgrade their systems and infrastructures to tackle next-generation data threats. The software & solutions segment of data-centric security comprises software tools, platforms, and other technical solutions that aid in securing an organization's data assets. The design of these software solutions can span from data masking & redaction, data discovery, and classification to encryption and tokenization. This software is developed to control unauthorized access, sharing, or leakage of sensitive data. Comprehensive solutions include encryption algorithms, key management, and access controls to protect data at rest, in transit, and during processing.

Function: Access control regulates and restricts access to sensitive data

Access control is a fundamental component of data-centric security. It involves the implementation of policies and measures to regulate and restrict access to sensitive data, which includes authentication mechanisms, authorization processes, and the enforcement of access rights. Proper access control ensures that only authorized individuals or systems have the appropriate permissions to access, modify, or delete sensitive data. It helps prevent unauthorized access and protects against insider threats. Data classification involves categorizing data based on its sensitivity or importance. This function helps organizations identify and label data according to predefined levels of confidentiality, ensuring that appropriate security measures are applied to each category. Effective data classification is crucial for using targeted security measures and helps organizations prioritize their security efforts, focusing on protecting the most sensitive information. Data loss prevention is a group of tools and techniques designed to prevent unauthorized access, sharing, or leakage of sensitive data. It includes monitoring and control mechanisms to detect and respond to potential data breaches. Managed file transfer enables secure and efficient file transfers between different systems and includes encryption, file integrity checking, and detailed audit logs.

Deployment Mode: Adoption of on-cloud deployment mode among organizations

On-cloud deployment refers to a service model where data-centric security solutions are hosted on the cloud infrastructure provided by a third-party cloud service provider. This deployment mode offers flexibility, scalability, and cost-effectiveness, as customers can access robust security solutions without needing significant capital investment in hardware. On-premises deployment involves installing and operating data-centric security solutions within the physical confines of an organization. This deployment model is preferred by organizations that require complete control over their data and security infrastructure. It is particularly common in industries that handle acute information, such as financial services, government, and healthcare. Organizations with strict regulatory and compliance requirements also seek on-premises solutions. Data-centric security solutions deployed on the cloud enable small and medium-sized enterprises (SMEs) to benefit from advanced security measures. In contrast, on-premises solutions provide large corporations and industries with regulated environments and the framework for stringent data governance.

Organization Size: High demand for data-centric security among large enterprises

Large enterprises typically have extensive datasets and complex IT infrastructures, which makes them prime targets for cyber threats. Data-centric security allows large enterprises to implement robust measures to protect this extensive and diverse range of sensitive information. Data-centric security solutions are designed to integrate with and adapt to complex IT environments, providing a unified approach to securing data across different platforms and locations. Large enterprises are frequently subject to various regulatory requirements and compliance standards in different regions and industries. Data-centric security helps large enterprises meet regulatory compliance by ensuring that sensitive data is handled, stored, and transmitted by applicable laws and standards. SMEs often have more limited resources than their larger counterparts, which can restrict their ability to implement comprehensive data-centric security measures. Data-centric security solutions designed for SMEs are often scalable and cost-effective, allowing them to implement effective security measures without overwhelming their resources. This security system helps SMEs protect sensitive customer data, demonstrating a commitment to security and building customer trust.

Regional Insights

The Americas represent a significant landscaper in the data-centric security market attributed to the stringent regulatory mandates driving the adoption of data-centric security solutions. Moreover, the region is home to leading security solution providers and witnesses hefty investments in research & development activities, further accelerating market growth. It is also noteworthy that the presence of large, tech-savvy enterprises in this region leads to a heightened emphasis on data security to protect intellectual properties and maintain competitive advantages. Europe holds substantial growth in the market due to government regulations, which have profoundly impacted how data is managed and secured. The broad applicability and stringent penalties have compelled businesses within and outside EU borders to invest in robust data-centric security measures. Government initiatives in the Middle East and Africa highlight the increasing commitment to regional data security. Furthermore, the diverse socioeconomic landscape of MEA offers opportunities for tailor-made solutions that cater to unique needs and regulatory standards in different countries.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Data Centric Security Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Data Centric Security Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Data Centric Security Market, highlighting leading vendors and their innovative profiles. These include BigID, Inc., Broadcom Inc, Concentric.Ai, Dig Security Solutions Ltd., Egnyte, Inc., Fasoo, Forcepoint, Fortra, LLC, Informatica Inc., Integrity Communications Ltd, International Business Machines Corporation, Lepide, McAfee, LLC, Micro Focus International plc by OpenText Corporation, NetApp, Inc, Netwrix Corporation, NextLabs, Inc., Orange Cyberdefense SA, PKWARE, Inc, Proofpoint, Inc., RiskOptics, Inc., Rohde & Schwarz GmbH & Co. KG, SEALPATH TECHNOLOGIES, S.L., Spirion, LLC, Varonis Systems, Inc., and Virtru.

Market Segmentation & Coverage

This research report categorizes the Data Centric Security Market to forecast the revenues and analyze trends in each of the following sub-markets:

Component
- Professional Services
- Software & Solutions

Function
- Access Control
- Data Classification
- Data Loss Prevention
- Managed File Transfer

Deployment Mode
- On-Cloud
- On-Premises

Organization Size
- Large Enterprises
- Small & Medium-Sized Enterprises

Vertical
- Banking, Financial Services & Insurance
- Government & Defense
- Healthcare & Pharmaceuticals
- IT & Enterprises
- Retail & Supply Chain Management
- Telecommunications

Region
- Americas
  - Argentina
  - Brazil
  - Canada
  - Mexico
  - United States
    - California
    - Florida
    - Illinois
    - New York
    - Ohio
    - Pennsylvania
    - Texas
- Asia-Pacific
  - Australia
  - China
  - India
  - Indonesia
  - Japan
  - Malaysia
  - Philippines
  - Singapore
  - South Korea
  - Taiwan
  - Thailand
  - Vietnam

Europe, Middle East & Africa
- Denmark
- Egypt
- Finland
- France
- Germany
- Israel
- Italy
- Netherlands
- Nigeria
- Norway
- Poland
- Qatar
- Russia
- Saudi Arabia
- South Africa
- Spain
- Sweden
- Switzerland
- Turkey
- United Arab Emirates
- United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.

2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.

3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.

4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.

5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the Data Centric Security Market?

2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Data Centric Security Market?

3. What are the technology trends and regulatory frameworks in the Data Centric Security Market?

4. What is the market share of the leading vendors in the Data Centric Security Market?

5. Which modes and strategic moves are suitable for entering the Data Centric Security Market?

Product Code: MRR-FD3F12D53BDC

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Rising data security risk with growing technology adoption across industries
  - 5.1.1.2. Supportive government regulations and initiatives for data security
  - 5.1.1.3. Increasing shift towards data-centric security solutions
- 5.1.2. Restraints
  - 5.1.2.1. High cost associated with installation and maintenance
- 5.1.3. Opportunities
  - 5.1.3.1. Deployment and development of new technologies and growth in cloud-based security
  - 5.1.3.2. Rising investment activities by the government and manufacturers
- 5.1.4. Challenges
  - 5.1.4.1. Vulnerabilities and risks associated with deploying data-centric security solutions
5.2. Market Segmentation Analysis
- 5.2.1. Component: Potential utilization of data-centric security software & solutions
- 5.2.2. Function: Access control regulates and restricts access to sensitive data
- 5.2.3. Deployment Mode: Adoption of on-cloud deployment mode among organizations
- 5.2.4. Organization Size: High demand for data-centric security among large enterprises
5.3. Market Disruption Analysis
5.4. Porter's Five Forces Analysis
- 5.4.1. Threat of New Entrants
- 5.4.2. Threat of Substitutes
- 5.4.3. Bargaining Power of Customers
- 5.4.4. Bargaining Power of Suppliers
- 5.4.5. Industry Rivalry
5.5. Value Chain & Critical Path Analysis
5.6. Pricing Analysis
5.7. Technology Analysis
5.8. Patent Analysis
5.9. Trade Analysis
5.10. Regulatory Framework Analysis

6. Data Centric Security Market, by Component

6.1. Introduction
6.2. Professional Services
6.3. Software & Solutions

7. Data Centric Security Market, by Function

7.1. Introduction
7.2. Access Control
7.3. Data Classification
7.4. Data Loss Prevention
7.5. Managed File Transfer

8. Data Centric Security Market, by Deployment Mode

8.1. Introduction
8.2. On-Cloud
8.3. On-Premises

9. Data Centric Security Market, by Organization Size

9.1. Introduction
9.2. Large Enterprises
9.3. Small & Medium-Sized Enterprises

10. Data Centric Security Market, by Vertical

10.1. Introduction
10.2. Banking, Financial Services & Insurance
10.3. Government & Defense
10.4. Healthcare & Pharmaceuticals
10.5. IT & Enterprises
10.6. Retail & Supply Chain Management
10.7. Telecommunications

11. Americas Data Centric Security Market

11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States

12. Asia-Pacific Data Centric Security Market

12.1. Introduction
12.2. Australia
12.3. China
12.4. India
12.5. Indonesia
12.6. Japan
12.7. Malaysia
12.8. Philippines
12.9. Singapore
12.10. South Korea
12.11. Taiwan
12.12. Thailand
12.13. Vietnam

13. Europe, Middle East & Africa Data Centric Security Market

13.1. Introduction
13.2. Denmark
13.3. Egypt
13.4. Finland
13.5. France
13.6. Germany
13.7. Israel
13.8. Italy
13.9. Netherlands
13.10. Nigeria
13.11. Norway
13.12. Poland
13.13. Qatar
13.14. Russia
13.15. Saudi Arabia
13.16. South Africa
13.17. Spain
13.18. Sweden
13.19. Switzerland
13.20. Turkey
13.21. United Arab Emirates
13.22. United Kingdom

14. Competitive Landscape

14.1. Market Share Analysis, 2023
14.2. FPNV Positioning Matrix, 2023
14.3. Competitive Scenario Analysis
- 14.3.1. Lookout Increases Strategic Investment in Data-centric Cloud Security
- 14.3.2. NextLabs Enhances its Zero Trust Data-Centric Security Software Suite for SAP
- 14.3.3. Micro Focus' CyberRes Partners with Google Cloud to Enable High-Scale Secure Cloud Analytics with Data Privacy
14.4. Strategy Analysis & Recommendation

15. Competitive Portfolio

15.1. Key Company Profiles
15.2. Key Product Portfolio