Global Homomorphic Encryption Market Forecast to 2027

Dublin, Feb. 16, 2021 (GLOBE NEWSWIRE) — The “Sensitive Data Discovery Market by Component, Organization Size, Deployment Mode, Application (Security and Risk Management, Compliance Management, Asset Management), Vertical (BFSI, Healthcare and Life Sciences), and Region – Global Forecast to 2026” report has been added to’s offering.

The global sensitive data discovery market is projected to grow from USD 5.1 billion in 2020 to USD 12.4 billion by 2026, recording a CAGR of 16.1% during the forecast period.

Various factors such as the growing need to discover sensitive structured and unstructured data, increasing investments in data privacy with evolving regulations, growing adoption of cloud-based sensitive data discovery solutions to improve security compliance and governance within data and the growing importance of data utilization during COVID-19 scenario among organizations are expected to drive the adoption of the sensitive data discovery market. The objective of the report is to define, describe, and forecast the sensitive data discovery market size based on component, organization size, deployment mode, application, vertical, and region.

With the growing focus on data security, IoT and, real-time data analysis, the sensitive data discovery market is witnessing significant growth. The rise in demand to integrate data with business processes and derive actionable insights, and the need for data utilization across verticals due to COVID-19 are expected to provide market growth opportunities for leading companies. However, key factors such as difficulties in justifying RoI from sensitive data discovery solutions and the lack of a skilled professional workforce are projected to inhibit the market growth. Data security and privacy concerns, incoherency in enterprise-wide data management standards and governance, and major dependence on manual systems for sensitive data discovery are key challenges encouraging the adoption of sensitive data discovery solutions and services.

The services segment to grow at a higher CAGR during the forecast period

The sensitive data discovery market is segmented based on components, such as solutions and services. The services segment is expected to grow at a rapid pace during the forecast period. The growth can be attributed to the increasing demand for deployment and integration, and consulting services by end users to effectively integrate sensitive data discovery tools for gathering structured and unstructured data from multiple sources.

The cloud segment to grow at a higher CAGR during the forecast period

The sensitive data discovery market by deployment mode has been segmented into on-premises and cloud. Cloud is further segmented by type in the public cloud, private cloud, and hybrid cloud. The cloud segment is expected to grow at a rapid pace during the forecast period. Highly secure data encryption, complete data visibility, and control features have resulted in a larger market size for on-premises mode sensitive data discovery solutions. The high CAGR of the cloud segment can be attributed to the availability of easy deployment options and minimal requirements of capital and time. These factors are supporting the current lockdown scenario of COVID-19 as social distancing and lack of workforce hit the industry, and are expected to drive the adoption of cloud-based sensitive data discovery solutions.

Among verticals, the healthcare and life sciences segment to grow at the highest CAGR during the forecast period

The sensitive data discovery market is segmented based on verticals into BFSI, government, healthcare and life sciences, retail, manufacturing, telecommunications and IT, and other verticals (education, and travel and hospitality). The BFSI vertical is expected to account for the largest market size during the forecast period. Moreover, the healthcare and life sciences vertical is expected to grow at the highest CAGR during the forecast period. During the COVID-19 pandemic, healthcare researchers and hospitals are dealing with enormous data, which has created a massive need for efficient sensitive data discovery and management. Sensitive data discovery finds multiple use cases in the healthcare and life sciences verticals such as remote diagnostics/monitoring of patient status; real-time alerting; emergency care; tracking inventory, staff, and patients; pharmacy management, and telemedicine.

Among regions, Asia Pacific (APAC) to grow at the highest CAGR during the forecast period

APAC is expected to grow at the highest CAGR during the forecast period. The increasing investments by the tech companies in major APAC countries, such as China, India, and Japan, increasing government regulations and initiatives are expected to drive the growth of the market in APAC. Businesses in the APAC region are deploying sensitive data discovery solutions to generate statistical data and make faster business decisions. Countries such as China, India, South Korea, and Japan are focusing on improving data management to enable data-based business decisions and enhance business processes.

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights
4.1 Attractive Opportunities in Sensitive Data Discovery Market
4.2 Market, Top Three Applications
4.3 Market, by Region
4.4 North American Market, by Deployment Mode and Application

5 Market Overview and Industry Trends
5.1 Introduction
5.2 Sensitive Data Discovery: Evolution
5.3 Sensitive Data Discovery: Architecture
5.4 Market Dynamics
5.4.1 Drivers Growing Need to Discover Sensitive Structured and Unstructured Data Increasing Investments in Data Privacy Measures with the Evolving Data Privacy Regulations Rise of Remote Workers and Real-Time Data Access to Drive the Demand for Cloud-Based Sensitive Data Discovery Solutions
5.4.2 Restraints Difficulties in Justifying Roi from Sensitive Data Discovery Solutions Lack of Skilled Professional Workforce
5.4.3 Opportunities Rise in Demand to Integrate Data with Business Processes to Derive Actionable Insights Increase in the Need for Data Utilization Across Verticals due to COVID-19
5.4.4 Challenges Data Security and Privacy Concerns Incoherency in Enterprise-Wide Data Management Standards and Governance Major Dependence on Manual Systems for Sensitive Data Discovery
5.4.5 Cumulative Growth Analysis
5.5 Sensitive Data Discovery Market: Ecosystem
5.6 Case Study Analysis
5.6.1 Department of Health and Human Services Used Solix Secure Test and Development Solution for Development of Unified Financial Management System
5.6.2 Leading Us-Based Utility Company Implemented Sox Compliance with Mentis
5.6.3 Sittercity Uses Cloud Data Loss Protection Api to Detect and Redact Personal Data
5.6.4 Leading Airlines in Dubai Implemented Mentis for Static and Dynamic Data Masking
5.6.5 Fleetpride Transformed Supply Chain Management with IBM Cognos Analytics
5.6.6 Granges Reduces Data Security Breaches with Microsoft Azure Information Protection
5.6.7 Tinuiti Centralized 100+ Data Sources Through Tableau Prep
5.6.8 Statistics Estonia Increases Information Delivery Through Sas Data Discovery
5.6.9 Ciscowebx Implemented Cloudera Sensitive Data Discovery for Improving Customer Experience
5.6.10 Edmunds Uses Amazon Macie to Increase Data Visibility and Security
5.6.11 Centers for Medicare and Medicaid Services Adopted Pkware Smartcrypt to Enhance Protection for Sensitive Medical Data
5.6.12 Illinois College Selected Spirion to Make Data Privacy Program Smarter
5.6.13 First National Bank Minnesota Selected Netwrix Solution to Secure Sensitive Data and Rebuild Active Directory
5.7 Sensitive Data Discovery Market: COVID-19 Impact
5.8 Patent Analysis
5.9 Supply Chain Analysis
5.10 Value Chain Analysis
5.11 Technology Analysis
5.11.1 Artificial Intelligence and Sensitive Data Discovery
5.11.2 Blockchain and Sensitive Data Discovery
5.11.3 Internet of Things and Sensitive Data Discovery
5.12 Pricing Model Analysis
5.13 Porter’s Five Force Analysis

6 Sensitive Data Discovery Market, by Component
6.1 Introduction
6.1.1 Components: Market Drivers
6.1.2 Components: COVID-19 Impact
6.2 Solutions
6.3 Services
6.3.1 Professional Services Consulting Support and Maintenance Deployment and Integration
6.3.2 Managed Services

7 Sensitive Data Discovery Market, by Organization Size
7.1 Introduction
7.1.1 Organization Size: Market Drivers
7.1.2 Organization Size: COVID-19 Impact
7.2 Large Enterprises
7.3 Small and Medium-Sized Enterprises

8 Sensitive Data Discovery Market, by Deployment Mode
8.1 Introduction
8.1.1 Deployment Modes: Market Drivers
8.1.2 Deployment Modes: COVID-19 Impact
8.2 On-Premises
8.3 Cloud
8.3.1 Public Cloud
8.3.2 Private Cloud
8.3.3 Hybrid Cloud

9 Sensitive Data Discovery Market, by Application
9.1 Introduction
9.1.1 Applications: Market Drivers
9.1.2 Applications: COVID-19 Impact
9.2 Security and Risk Management
9.3 Asset Management
9.4 Compliance Management
9.5 Other Applications

10 Sensitive Data Discovery Market, by Vertical
10.1 Introduction
10.1.1 Verticals: Market Drivers
10.1.2 Verticals: COVID-19 Impact
10.2 Banking, Financial Services, and Insurance
10.3 Government
10.4 Healthcare and Life Sciences
10.5 Retail
10.6 Manufacturing
10.7 Telecommunications and Information Technology
10.8 Other Verticals

11 Sensitive Data Discovery Market, by Region
11.1 Introduction
11.2 North America
11.3 Europe
11.4 Asia-Pacific
11.5 Middle East and Africa
11.6 Latin America

12 Competitive Landscape
12.1 Overview
12.2 Market Evaluation Framework
12.3 Market Share, 2020
12.4 Historical Revenue Analysis of Key Market Players
12.5 Key Players in Market, 2020
12.6 Key Market Developments
12.6.1 New Product Launches and Product Enhancements
12.6.2 Business Expansions
12.6.3 Mergers and Acquisitions
12.6.4 Partnerships, Agreements, Contracts, and Collaborations
12.7 Company Evaluation Matrix, 2020
12.7.1 Star
12.7.2 Emerging Leaders
12.7.3 Pervasive
12.7.4 Participants
12.7.5 Strength of Product Portfolio
12.7.6 Business Strategy Excellence
12.8 Startup/SME Evaluation Matrix, 2020
12.8.1 Progressive Companies
12.8.2 Responsive Companies
12.8.3 Dynamic Companies
12.8.4 Starting Blocks
12.8.5 Strength of Product Portfolio
12.8.6 Business Strategy Excellence

13 Company Profiles
13.1 Introduction
13.2 Microsoft
13.3 IBM
13.4 Oracle
13.5 Amazon Web Services
13.6 Proofpoint
13.7 Google
13.8 Micro Focus
13.9 Thales
13.10 Solarwinds
13.11 Netwrix
13.12 Pkware
13.13 Hitachi
13.14 Solix
13.15 Mentis
13.16 Ground Labs
13.17 Immuta
13.18 Spirion
13.19 Egnyte
13.20 Varonis
13.21 Digital Guardian
13.22 Startup/Sme Profiles
13.22.1 Nightfall
13.22.2 Securiti
13.22.3 Datasunrise
13.22.4 Datagrail
13.22.5 Dathena
13.22.6 Bigid
13.22.7 1Touch.Io

14 Adjacent and Related Markets
14.1 Introduction
14.2 Business Intelligence Market – Global Forecast to 2025
14.2.1 Market Definition
14.2.2 Market Overview Business Intelligence Market, by Component Business Intelligence Market, by Deployment Mode Business Intelligence Market, by Organization Size Business Intelligence Market, by Business Function Business Intelligence Market, by Industry Vertical Business Intelligence Market, by Region
14.3 Data Classification Market – Global Forecast to 2023
14.3.1 Market Definition
14.3.2 Market Overview Data Classification Market, by Component Data Classification Market, by Methodology Data Classification Market, by Application Data Classification Market, by Vertical Data Classification Market, by Region

15 Appendix
15.1 Industry Experts
15.2 Discussion Guide

For more information about this report visit

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