The global data-centric security market size is expected to grow from an estimated value of USD 3.5 billion in 2020 to USD 9.8 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 23.1% from 2020 to 2026.
The data-centric security market is driven by various factors such as stringent compliances and regulations, increasing risk on enterprise data due to exploitation of big data analytics, machine learning, and artificial intelligence to boost the growth of data-centric security market across the globe during the forecast period. However, organization's tolerance for inconvenience and security breaches due to internal vulnerabilities can hinder the growth.
Software and Solutions segment to grow at a higher CAGR during the forecast period
With the voluminous explosion of sensitive data in the cloud and mobile environments, data lakes, and other big data repositories, enforcing data security has become the top priority for both governments and businesses worldwide. Data-centric security software and solutions audit and protect the data at rest, data in motion, and data in use through various standards and protocols. Therefore, to reduce the risk posed by hackers, insider threats, and other malicious attacks, and constantly monitor the activity of sensitive data, enterprises must utilize software and solutions. The solutions protect mission-critical data in disparate silos, such as databases, files, and the cloud. Furthermore, the legislation in many countries has set new standards for protecting customer information. There are standards for the security of medical records, such as HIPAA, and standards for the financial industry, such as PCI-DSS, regarding the privacy and security of customers' personal financial information. A few capabilities that data-centric security software and solution must include data classification and discovery, data protection, and data governance, and compliance.
On premise segment to account for a higher market share during the forecast period
The on-premises deployment type provides organizations with full control over all the platforms, applications, systems, and data, which can be handled and managed by their own IT staff. The on-premises deployment type is the traditional approach to implement data-centric security software and solutions across enterprises. An organization where the user credentials are critical for business operations would prefer the on-premises deployment, as the systems are controlled by the organization. The government and defense and BFSI verticals prefer on-premises security because they cannot afford to lose their sensitive data, financial records, accounting information, and data pertaining to financial transactions.
Asia Pacific to grow at the highest rate during the forecast period
APAC has specifically been one of the fastest-growing markets in terms of mobile workforce expansion, propagated with the rising adoption of mobile devices in this region. Enterprises and SMEs in the APAC countries are admitting the significance of data-centric security and are receptive to adopting dedicated data-centric security solutions to protect their critical and sensitive business data from commercial espionage, cyber threats, and misuse of data for monetary gains of the computer hackers. APAC countries such as Australia, China, and Japan have widely adopted encryption technologies to protect data from being stolen. The popular APAC countries, such as Singapore and India, are now gradually advancing toward adopting superior data-centric security solutions.
Key Topics Covered:
2 Research Methodology
3 Executive Summary
4 Premium Insights 4.1 Global Data-Centric Market Overview 4.2 Data Centric Security Market, by Component, 2020 4.3 Data Centric Security Market, by Software and Solution, 2020 4.4 Data Centric Security Market, by Organization Size, 2020 4.5 Data Centric Security Market, by Region, 2020 4.6 Market Investment Scenario
5 Market Overview and Industry Trends 5.1 Introduction 5.2 Market Dynamics 5.2.1 Drivers 22.214.171.124 Increasing Demand for Data-Centric Security Solutions for Cloud-Based Data Security 126.96.36.199 Stringent Compliances and Regulations Driving the Adoption of Data-Centric Security Solutions 188.8.131.52 Increasing Risk on Enterprise Data Due to Exploitation of Big Data Analytics, Machine Learning, and Artificial Intelligence Driving the Adoption of Data-Centric Security Solutions 5.2.2 Restraint 184.108.40.206 Organization's Tolerance for Inconvenience and Security Breaches Due to Internal Vulnerabilities 5.2.3 Opportunities 220.127.116.11 Increase in Data Breaches Provide More Opportunities to Data-Centric Security Vendors 18.104.22.168 Widespread Adoption of the Industrial Revolution 5.2.4 Challenges 22.214.171.124 Enterprise Budgetary Concerns 126.96.36.199 Lack of Awareness Toward Data-Centric Security Solutions 5.3 COVID-19 Driven Market Dynamics 5.3.1 Drivers and Opportunities 5.3.2 Restraints and Challenges 5.3.3 Cumulative Growth Analysis 5.4 Regulatory Landscape 5.4.1 General Data Protection Regulation 5.4.2 Personal Information Protection and Electronic Documents Act 5.4.3 the International Organization for Standardization 27001 5.4.4 California Consumer Privacy Act 5.4.5 Payment Card Industry Data Security Standard 5.5 Case Study: Data-Centric Security Solution 5.5.1 Large Financial Services Company: Deployment of Data-Centric Security of a Large Financial Services Company by Vera 5.5.2 Ziekenhuis Oost-Limburg (Zol): Deployment of Data-Centric Security of Zol by Orange Cyber Defense 5.5.3 Homeserve: Deployment of Data-Centric Security of Homeserve by Varonis 5.6 Data-Centric Security Market Ecosystem 5.7 Supply Chain Analysis 5.7.1 Software and Solutions Providers 5.7.2 Service Providers 5.7.3 Distribution Channels 5.7.4 Industry Verticals 5.8 Patent Analysis 5.9 Average Selling Prices 5.10 Revenue Shift -YC Analysis 5.11 Technology Analysis 5.12 Porter's Five Forces Analysis
6 Data-Centric Security Market, by Component 6.1 Introduction 6.2 Software and Solutions 6.2.1 Data-Centric Security Software and Solutions: Market Drivers 6.2.2 Software and Solutions: COVID-19 Impact 6.2.3 Data Discovery and Classification 6.2.4 Data Protection 6.2.5 Data Governance and Compliance 6.2.6 Others Software and Solutions 6.3 Professional Services 6.3.1 Professional Services: Data-Centric Security Market Drivers 6.3.2 Professional Services: COVID-19 Impact
8 Data-Centric Security Market, by Organization Size 8.1 Introduction 8.2 Large Enterprises 8.2.1 Large Enterprises: Market Drivers 8.2.2 Large Enterprises: COVID-19 Impact 8.3 Small and Medium-Sized Enterprises 8.3.1 Small and Medium-Sized Enterprises: Market Drivers 8.3.2 Small and Medium-Sized Enterprises: COVID-19 Impact
9 Data-Centric Security Market, by Vertical 9.1 Introduction 9.2 Banking, Financial Services and Insurance 9.2.1 Banking, Financial Services and Insurance: Market Drivers 9.2.2 Banking, Financial Services and Insurance: COVID-19 Impact 9.3 Government and Defense 9.3.1 Government and Defense: Data-Centric Security Market Drivers 9.3.2 Government and Defense: COVID-19 Impact 9.4 Healthcare and Pharmaceuticals 9.4.1 Healthcare and Pharmaceuticals: Market Drivers 9.4.2 Healthcare and Pharmaceuticals: COVID-19 Impact 9.5 Telecommunications 9.5.1 Telecommunications: Data-Centric Security Market Drivers 9.5.2 Telecommunications: COVID-19 Impact 9.6 IT and Enterprises 9.6.1 IT and Enterprises: Market Drivers 9.6.2 IT and Enterprises: COVID-19 Impact 9.7 Retail 9.7.1 Retail: Data-Centric Security Market Drivers 9.7.2 Retail: COVID-19 Impact 9.8 Other Verticals 9.8.1 Other Verticals: Market Drivers 9.8.2 Other Verticals: COVID-19 Impact
10 Data-Centric Security Market, by Region 10.1 Introduction 10.2 North America 10.3 Europe 10.4 Asia-Pacific 10.5 Middle East and Africa 10.6 Latin America