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
[295 Pages Report] The global Sensitive Data Discovery Market size was valued USD 5.1 billion in 2020 and is projected to reach USD 12.4 billion by 2026, at a CAGR of 16.1% during the forecast period. The growing importance of data-driven decision-making, rising trends in self-service business intelligence (BI) tools, and insight generation from a growing number of multi-structured data sources are expected to drive the adoption of the sensitive data discovery solutions and services.
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COVID-19 Impact
Businesses providing sensitive data discovery solutions and services are expected to witness a minor decline in their growth for a short span of time. However, the focus on vaccine development, adoption work from home initiatives, and eHealth are leading to explosion of structured and unstructured data, which needs to be discovered and managed efficiently to derive insights. The market would witness a minimal slowdown in 2020, followed by positive growth during the forecast period. The global spread of COVID-19 has led numerous privacy, data protection, security and compliance questions. These challenges are driving the need for companies and organizations to ensure their sensitive data discovery solutions not only secure, but also support data analysis for strategic business decisions.
Sensitive Data Discovery Market Dynamics
Driver: Growing need to discover sensitive structured and unstructured data
Unlike structured data that resides in well-protected IT perimeters, sensitive content exists in unstructured formats such as office documents, files, or images, and is distributed and published through file sharing, social media, and email. Most enterprises across industries realize the growing importance of collecting their data and gaining meaningful analysis for improving business growth and building competitive advantages. Every day, a huge volume of data is generated in various forms and from different sources. Every organization generates a vast amount of data due to the use of IoT devices, sensors, and geospatial devices. Moreover, they generate insights from structured and unstructured data by unifying them into specific formats that could be used by end users to validate and understand, and help them accomplish their daily tasks. Sensitive data discovery is an integral part that helps in creating and maintaining an effective data security plan.
Restraint: Lack of skilled professional workforce
Significant technology advancements have taken place in the ICT domain. IoT, AI, Machine Learning (ML), cloud, analytics, and sensitive data discovery are a few trends that have gained tremendous traction in the past few years. Sensitive data discovery is transforming businesses by providing actionable insights. However, companies do face issues while extracting these insights. Data across organizations grows constantly, and organizations often fail to capitalize on opportunities and extract actionable data. Organizations also fail to identify where they need to allocate their resources, which results in not deriving the full potential of sensitive data discovery. Most organizations still cannot harness the complete benefits of sensitive data discovery tools in cloud due to the lack of awareness and professional expertise to optimally utilize cloud-based sensitive data discovery solutions.
Opportunity: Rise in demand to integrate data with business processes to derive actionable insights
In today’s digital and big data era, data can be structured or unstructured, and most of it resides outside enterprises. Thus, it has become crucial to have a platform that can be used to integrate various information, perform a lot of discovery-based analysis (to separate noise from real signals), perform analytics on top of it, and finally consume it through an intuitive visualization interface. This avenue is now being explored in the form of a sensitive data discovery platform in many enterprises. The increasing volume of digital information is providing meaningful insights for businesses such as customer trends, shifts in consumer behaviors, the outbreak of epidemics, changing weather patterns, and the rise in crime rate. These data, when managed well, can provide an opportunity to unlock new business avenues and solutions for better governance among business houses and governments. Currently, enterprises need a comprehensive sensitive data discovery platform that can process huge volumes of data in real time to provide meaningful insights. This sensitive data discovery or decision-making platform can assimilate data, structure, refine, provide the exploratory capability, identify and evaluate various patterns, and help make insight-based decisions faster.
Challenge: Data security and privacy concerns
Security threats are projected to grow even further in the future. In the past four years, the financial impact of cybercrimes has increased by nearly 78%, and the time it takes to resolve cyberattacks has doubled. The increase in data from various sources is cumbersome for several IT teams. The inefficiency of managing exabytes and petabytes of data has increased chances of security breaches and data losses. It may seem as if sensitive data discovery is a threat to data privacy. However, the actual threat is poorly managed data. The sensitive data discovery comes with three privacy risks: data breaches, data brokerage, and data discrimination. Data breaches occur when information is retrieved without consent. In most cases, data breaches are the result of out-of-date software, weak passwords, and targeted malware attacks. These incidents can lead to a damaged reputation and financial loss for organizations. The data breaches can be prevented by keeping software up-to-date, changing passwords, and educating employees on best security practices.
Among verticals, the BFSI segment is expected to hold the larger market size 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. The emergence of data analytics in finance has necessitated the development of sensitive data discovery solutions that are capable enough of handling data in real time. Numerous banks have turned to sensitive data discovery solutions for data preparation, integration, and analysis from a variety of internal divisions, including mortgage, loans, consumer and retail banking, individual and corporate lending, and treasury banking.
The on-premises segments is expected to hold the larger market size 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 public cloud, private cloud, and hybrid cloud. The cloud segment is expected to grow at a rapid pace during the forecast period. 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. Highly secure data encryption and complete data visibility and control feature are responsible for the higher adoption of on-premises-based sensitive data discovery solutions.
North America to hold the largest market size during the forecast period
North America is expected to hold the largest market size in the global sensitive data discovery market, while Asia Pacific (APAC) is expected to grow at the highest CAGR during the forecast period. The growing awareness for data security and privacy among organizations is expected to fuel the adoption of sensitive data discovery solutions and services in US and Canada. The commercialization of the AI and ML technology, giving rise to increased data generation, and the need for further advancements to leverage its benefits to the maximum are expected to drive the adoption of sensitive data discovery solutions in the region. Furthermore, falling server prices have increased the adoption of cloud computing businesses across North America, fuelling the construction of efficient and sustainable data, and thus boosting the market under consideration.
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Key Market Players
The sensitive data discovery vendors have implemented various types of organic as well as inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major vendors in the global sensitive data discovery market include IBM (US), Microsoft (US), Oracle (US), AWS (US), Proofpoint (US), Google (US), SolarWinds (US), Micro Focus (UK), PKWARE (US), Thales (France), Spirion (US), Egnyte (US), Netwrix (US), Varonis (US), Digital Guardian (US), Solix (US), Immuta (US), MENTIS (US), Ground Labs (US), Hitachi (Japan), Nightfall (US), Securiti (US), DataGrail (US), Dathena (Singapore), BigID (US), DataSunrise (US), and 1touch.io (US). The study includes an in-depth competitive analysis of these key players in the sensitive data discovery market with their company profiles, recent developments, and key market strategies.
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|
Report Metric |
Details |
|
Market size value in 2020 |
USD 5.1 billion |
|
Revenue forecast in 2026 |
USD 12.4 billion |
|
Growth Rate |
16.1% CAGR |
|
Market size available for years |
2014–2026 |
|
Base year considered |
2019 |
|
Forecast period |
2020–2026 |
|
Forecast units |
USD Billion |
|
Segments covered |
Component, organization size, deployment mode, application, vertical, and region |
|
Geographies covered |
North America, Europe, APAC, Latin America, and MEA |
|
Companies covered |
IBM (US),Microsoft (US),Oracle (US), AWS (US), Proofpoint (US), Google (US), Micro Focus (UK), SolarWinds (US), PKWARE (US), Thales (France), Spirion (US), Egnyte (US), Netwrix (US), Varonis (US), Digital Guardian (US), Solix (US), Immuta (US), MENTIS (US), Ground Labs (US), Hitachi (Japan), Nightfall (US), Securiti (US), DataGrail (US), Dathena (Singapore), BigID (US), 1touch.io (US), and DataSunrise (US) |
This research report categorizes the sensitive data discovery market based on components, deployment mode, organization size, application, vertical, and region.
By component:
- Solutions
-
Services
- Managed Services
-
Professional Services
- Support and Maintenance
- Deployment and Integration
- Consulting
By organization size:
- Large Enterprises
- Small and Medium-sized Enterprises (SMEs)
By deployment mode:
- On-premises
-
Cloud
- Public Cloud
- Private Cloud
- Hybrid Cloud
By application:
- Security and Risk Management
- Compliance Management
- Asset Management
- Other Applications (Network Management and Access Management)
By vertical:
- BFSI
- Government
- Healthcare and Life Sciences
- Retail
- Manufacturing
- Telecommunications and IT
- Other Verticals (Education, and Travel and Hospitality)
By region:
-
North America
- US
- Canada
-
Europe
- UK
- Germany
- France
- Rest of Europe
-
APAC
- China
- Japan
- India
- Rest of APAC
-
MEA
- KSA
- UAE
- South Africa
- Rest of MEA
-
Latin America
- Brazil
- Mexico
- Rest of Latin America
Recent Developments:
- In January 2021, Netwrix and Stealthbits merged to address the increasing demand for sensitive data protection. Both companies merged to offer data security and privacy solutions to organizations of all size and in any region around the world.
- In November 2020, PKWARE acquired Dataguise, a company with innovative technology for businesses to discover and protect personal data stored across diverse IT systems and environments. The acquisition will expand PKWARE’s global footprint as it continues the operations of Dataguise’s existing offices in the US, India, Europe, and Canada.
- In October 2020, SolarWinds announced SolarWinds Endpoint Detection and Response (EDR). The solution would be fully integrated with SolarWinds Remote Monitoring and Management (RMM). The integration would allow users to efficiently configure and manage endpoint security while helping mitigate security risks for customers and their business.
- In October 2020, Micro Focus launched a new digital resource, CISO Resource to accelerate enterprise resilience during unprecedented global challenges. The launch of CyberResilient. Com, a digital resource designed to support CISOs and board members as they navigate the shifting demands of the digital economy, and attempt to continue to drive business growth during times of uncertainty.
- In September 2020, IBM launched a new risk-based service IBM Risk Analytics. The solution is designed to help organizations apply the same analytics used for traditional business decisions to cybersecurity spending priorities. The new service creates risk assessments to help clients identify, prioritize and quantify security risk as they weigh decisions such as deploying new technologies, making investments in their business and changing processes.
- In September 2020, Proofpoint launched two new products named Enterprise Data Loss Prevention (DLP) and Nexus People Risk Explorer. The Enterprise DLP solution helps organizations identify and quickly respond to data losses resulting from negligent, compromised, or malicious users. Nexus People Risk Explorer provides a unified view of vulnerable, attacked, and privileged users.
- In May 2020, Google Cloud and Splunk partnered to help customers gain deeper insights from data. This partnership aimed to help organizations drive actionable insights from their data and enable better, faster decisions with real-time visibility across the enterprise.
- In February 2020, Google acquired Looker, a provider of a unified platform for business intelligence, data applications, and embedded analytics. This acquisition would enable Google to extend its analytics offering by defining two capabilities that would define business metrics and provide an analytical platform to make business decisions.
- In June 2019, Oracle introduced a new feature in Oracle Analytics. The new feature would provide AI-powered self-service capabilities. Oracle Analytics with the features of data preparation, visualization, and Natural Language Processing (NLP) would help business analysts get data insights to make business decisions.
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TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 25)
1.1 INTRODUCTION TO COVID-19
1.2 COVID-19 HEALTH ASSESSMENT
FIGURE 1 COVID-19: GLOBAL PROPAGATION
FIGURE 2 COVID-19 PROPAGATION: SELECT COUNTRIES
1.3 COVID-19 ECONOMIC ASSESSMENT
FIGURE 3 REVISED GROSS DOMESTIC PRODUCT FORECASTS FOR SELECT G20 COUNTRIES IN 2020
1.3.1 COVID-19 ECONOMIC IMPACT—SCENARIO ASSESSMENT
FIGURE 4 CRITERIA IMPACTING GLOBAL ECONOMY
FIGURE 5 SCENARIOS IN TERMS OF RECOVERY OF GLOBAL ECONOMY
1.4 OBJECTIVES OF THE STUDY
1.5 MARKET DEFINITION
1.5.1 INCLUSIONS AND EXCLUSIONS
1.5.2 SENSITIVE DATA TYPES
1.6 MARKET SCOPE
1.6.1 MARKET SEGMENTATION
1.6.2 REGIONS COVERED
1.6.3 YEARS CONSIDERED FOR THE STUDY
1.7 CURRENCY CONSIDERED
TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2018–2020
1.8 STAKEHOLDERS
2 RESEARCH METHODOLOGY (Page No. - 35)
2.1 RESEARCH DATA
FIGURE 6 SENSITIVE DATA DISCOVERY MARKET: RESEARCH DESIGN
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
TABLE 2 PRIMARY INTERVIEWS
2.1.2.1 Breakup of primary profiles
2.1.2.2 Key industry insights
2.2 MARKET BREAKUP AND DATA TRIANGULATION
FIGURE 7 DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
FIGURE 8 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
FIGURE 9 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY-SIDE): REVENUE FROM SOLUTIONS/SERVICES OF MARKET
FIGURE 10 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF MARKET
FIGURE 11 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF SENSITIVE DATA DISCOVERY MARKET
FIGURE 12 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF SENSITIVE DATA DISCOVERY THROUGH OVERALL SENSITIVE DATA DISCOVERY SPENDING
2.4 MARKET FORECAST
TABLE 3 FACTOR ANALYSIS
2.5 COMPANY EVALUATION MATRIX METHODOLOGY
FIGURE 13 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
2.6 STARTUP/SME EVALUATION MATRIX METHODOLOGY
FIGURE 14 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE
2.7 ASSUMPTIONS FOR THE STUDY
2.8 LIMITATIONS OF THE STUDY
2.9 IMPLICATIONS OF COVID-19 ON MARKET
3 EXECUTIVE SUMMARY (Page No. - 51)
TABLE 4 GLOBAL SENSITIVE DATA DISCOVERY MARKET SIZE AND GROWTH RATE, 2014–2019 (USD MILLION, Y-O-Y%)
TABLE 5 GLOBAL MARKET SIZE AND GROWTH RATE, 2019–2026 (USD MILLION, Y-O-Y%)
FIGURE 15 SOLUTIONS SEGMENT TO HOLD LARGER MARKET SIZE IN 2020
FIGURE 16 PROFESSIONAL SERVICES SEGMENT TO HOLD HIGHER MARKET SHARE IN 2020
FIGURE 17 DEPLOYMENT AND INTEGRATION SEGMENT TO HOLD LARGEST MARKET SIZE IN 2020
FIGURE 18 LARGE ENTERPRISES SEGMENT TO HOLD HIGHER MARKET SHARE IN 2020
FIGURE 19 ON-PREMISES SEGMENT TO HOLD LARGER MARKET SIZE IN 2020
FIGURE 20 PUBLIC CLOUD SEGMENT TO HOLD HIGHEST MARKET SHARE IN 2020
FIGURE 21 SECURITY AND RISK MANAGEMENT SEGMENT TO HOLD LARGEST MARKET SIZE IN 2020
FIGURE 22 BANKING, INSURANCE, AND FINANCIAL SERVICES VERTICAL TO HOLD HIGHEST MARKET SHARE IN 2020
FIGURE 23 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
4 PREMIUM INSIGHTS (Page No. - 57)
4.1 ATTRACTIVE OPPORTUNITIES IN SENSITIVE DATA DISCOVERY MARKET
FIGURE 24 GROWING NEED TO DISCOVER SENSITIVE STRUCTURED AND UNSTRUCTURED DATA AND INCREASING IMPORTANCE OF DATA UTILIZATION DURING COVID-19 SCENARIO AMONG ORGANIZATIONS TO DRIVE MARKET GROWTH
4.2 MARKET, TOP THREE APPLICATIONS
FIGURE 25 COMPLIANCE MANAGEMENT SEGMENT TO GROW AT HIGHEST CAGR FROM 2020 TO 2026
4.3 MARKET, BY REGION
FIGURE 26 NORTH AMERICA TO ACCOUNT FOR HIGHEST SHARE IN MARKET IN 2020
4.4 NORTH AMERICAN MARKET, BY DEPLOYMENT MODE AND APPLICATION
FIGURE 27 ON-PREMISES AND SECURITY AND RISK MANAGEMENT SEGMENTS TO ACCOUNT FOR HIGH MARKET SHARES IN 2020
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 60)
5.1 INTRODUCTION
5.2 SENSITIVE DATA DISCOVERY: EVOLUTION
FIGURE 28 EVOLUTION OF SENSITIVE DATA DISCOVERY MARKET
5.3 SENSITIVE DATA DISCOVERY: ARCHITECTURE
FIGURE 29 MARKET ARCHITECTURE
5.4 MARKET DYNAMICS
FIGURE 30 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: MARKET
5.4.1 DRIVERS
5.4.1.1 Growing need to discover sensitive structured and unstructured data
5.4.1.2 Increasing investments in data privacy measures with the evolving data privacy regulations
5.4.1.3 Rise of remote workers and real-time data access to drive the demand for cloud-based sensitive data discovery solutions
5.4.2 RESTRAINTS
5.4.2.1 Difficulties in justifying RoI from sensitive data discovery solutions
5.4.2.2 Lack of skilled professional workforce
5.4.3 OPPORTUNITIES
5.4.3.1 Rise in demand to integrate data with business processes to derive actionable insights
5.4.3.2 Increase in the need for data utilization across verticals due to COVID-19
5.4.4 CHALLENGES
5.4.4.1 Data security and privacy concerns
5.4.4.2 Incoherency in enterprise-wide data management standards and governance
5.4.4.3 Major dependence on manual systems for sensitive data discovery
5.4.5 CUMULATIVE GROWTH ANALYSIS
5.5 SENSITIVE DATA DISCOVERY MARKET: ECOSYSTEM
FIGURE 31 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 GRÄNGES 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
FIGURE 32 MARKET TO WITNESS SLOWDOWN IN GROWTH IN 2020
5.8 PATENT ANALYSIS
5.9 SUPPLY CHAIN ANALYSIS
FIGURE 33 SUPPLY CHAIN ANALYSIS
5.10 VALUE CHAIN ANALYSIS
FIGURE 34 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
FIGURE 35 PORTER’S FIVE FORCE ANALYSIS
5.13.1 THREAT OF NEW ENTRANTS
5.13.2 THREAT OF SUBSTITUTES
5.13.3 BARGAINING POWER OF SUPPLIERS
5.13.4 BARGAINING POWER OF BUYERS
5.13.5 INTENSITY OF COMPETITIVE RIVALRY
6 SENSITIVE DATA DISCOVERY MARKET, BY COMPONENT (Page No. - 86)
6.1 INTRODUCTION
6.1.1 COMPONENTS: MARKET DRIVERS
6.1.2 COMPONENTS: COVID-19 IMPACT
FIGURE 36 SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
TABLE 6 MARKET SIZE, BY COMPONENT, 2014–2019 (USD MILLION)
TABLE 7 MARKET SIZE, BY COMPONENT, 2019–2026 (USD MILLION)
6.2 SOLUTIONS
TABLE 8 SOLUTIONS: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 9 SOLUTIONS: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
6.3 SERVICES
FIGURE 37 MANAGED SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
TABLE 10 SERVICES: SENSITIVE DATA DISCOVERY MARKET SIZE, BY TYPE, 2014–2019 (USD MILLION)
TABLE 11 SERVICES: MARKET SIZE, BY TYPE, 2019–2026 (USD MILLION)
TABLE 12 SERVICES: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 13 SERVICES: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
6.3.1 PROFESSIONAL SERVICES
FIGURE 38 CONSULTING SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
TABLE 14 PROFESSIONAL SERVICES: MARKET SIZE, BY TYPE, 2014–2019 (USD MILLION)
TABLE 15 PROFESSIONAL SERVICES: MARKET SIZE, BY TYPE, 2019–2026 (USD MILLION)
TABLE 16 PROFESSIONAL SERVICES: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 17 PROFESSIONAL SERVICES: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
6.3.1.1 Consulting
TABLE 18 CONSULTING MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 19 CONSULTING MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
6.3.1.2 Support and maintenance
TABLE 20 SUPPORT AND MAINTENANCE MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 21 SUPPORT AND MAINTENANCE MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
6.3.1.3 Deployment and integration
TABLE 22 DEPLOYMENT AND INTEGRATION MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 23 DEPLOYMENT AND INTEGRATION MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
6.3.2 MANAGED SERVICES
TABLE 24 MANAGED SERVICES: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 25 MANAGED SERVICES: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
7 SENSITIVE DATA DISCOVERY MARKET, BY ORGANIZATION SIZE (Page No. - 100)
7.1 INTRODUCTION
7.1.1 ORGANIZATION SIZE: MARKET DRIVERS
7.1.2 ORGANIZATION SIZE: COVID-19 IMPACT
FIGURE 39 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
TABLE 26 MARKET SIZE, BY ORGANIZATION SIZE, 2014–2019 (USD MILLION)
TABLE 27 MARKET SIZE, BY ORGANIZATION SIZE, 2019–2026 (USD MILLION)
7.2 LARGE ENTERPRISES
TABLE 28 LARGE ENTERPRISES: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 29 LARGE ENTERPRISES: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
7.3 SMALL AND MEDIUM-SIZED ENTERPRISES
TABLE 30 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 31 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
8 SENSITIVE DATA DISCOVERY MARKET, BY DEPLOYMENT MODE (Page No. - 106)
8.1 INTRODUCTION
8.1.1 DEPLOYMENT MODES: MARKET DRIVERS
8.1.2 DEPLOYMENT MODES: COVID-19 IMPACT
FIGURE 40 CLOUD SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
TABLE 32 MARKET SIZE, BY DEPLOYMENT MODE, 2014–2019 (USD MILLION)
TABLE 33 MARKET SIZE, BY DEPLOYMENT MODE, 2019–2026 (USD MILLION)
8.2 ON-PREMISES
TABLE 34 ON-PREMISES: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 35 ON-PREMISES: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
8.3 CLOUD
FIGURE 41 HYBRID CLOUD SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
TABLE 36 CLOUD: SENSITIVE DATA DISCOVERY MARKET SIZE, BY TYPE, 2014–2019 (USD MILLION)
TABLE 37 CLOUD: MARKET SIZE, BY TYPE, 2019–2026 (USD MILLION)
TABLE 38 CLOUD: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 39 CLOUD: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
8.3.1 PUBLIC CLOUD
TABLE 40 PUBLIC CLOUD MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 41 PUBLIC CLOUD MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
8.3.2 PRIVATE CLOUD
TABLE 42 PRIVATE CLOUD MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 43 PRIVATE CLOUD MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
8.3.3 HYBRID CLOUD
TABLE 44 HYBRID CLOUD MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 45 HYBRID CLOUD MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
9 SENSITIVE DATA DISCOVERY MARKET, BY APPLICATION (Page No. - 116)
9.1 INTRODUCTION
9.1.1 APPLICATIONS: MARKET DRIVERS
9.1.2 APPLICATIONS: COVID-19 IMPACT
FIGURE 42 COMPLIANCE MANAGEMENT SEGMENT TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
TABLE 46 MARKET SIZE, BY APPLICATION, 2014–2019 (USD MILLION)
TABLE 47 MARKET SIZE, BY APPLICATION, 2019–2026 (USD MILLION)
9.2 SECURITY AND RISK MANAGEMENT
TABLE 48 SECURITY AND RISK MANAGEMENT: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 49 SECURITY AND RISK MANAGEMENT: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
9.3 ASSET MANAGEMENT
TABLE 50 ASSET MANAGEMENT: SENSITIVE DATA DISCOVERY MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 51 ASSET MANAGEMENT: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
9.4 COMPLIANCE MANAGEMENT
TABLE 52 COMPLIANCE MANAGEMENT: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 53 COMPLIANCE MANAGEMENT: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
9.5 OTHER APPLICATIONS
TABLE 54 OTHER APPLICATIONS: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 55 OTHER APPLICATIONS: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
10 SENSITIVE DATA DISCOVERY MARKET, BY VERTICAL (Page No. - 125)
10.1 INTRODUCTION
10.1.1 VERTICALS: MARKET DRIVERS
10.1.2 VERTICALS: COVID-19 IMPACT
FIGURE 43 HEALTHCARE AND LIFE SCIENCES VERTICAL TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
TABLE 56 MARKET SIZE, BY VERTICAL, 2014–2019 (USD MILLION)
TABLE 57 MARKET SIZE, BY VERTICAL, 2019–2026 (USD MILLION)
10.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
TABLE 58 BANKING, FINANCIAL SERVICES, AND INSURANCE: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 59 BANKING, FINANCIAL SERVICES, AND INSURANCE: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
10.3 GOVERNMENT
TABLE 60 GOVERNMENT: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 61 GOVERNMENT: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
10.4 HEALTHCARE AND LIFE SCIENCES
TABLE 62 HEALTHCARE AND LIFE SCIENCES: SENSITIVE DATA DISCOVERY MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 63 HEALTHCARE AND LIFE SCIENCES: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
10.5 RETAIL
TABLE 64 RETAIL: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 65 RETAIL: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
10.6 MANUFACTURING
TABLE 66 MANUFACTURING: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 67 MANUFACTURING: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
10.7 TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY
TABLE 68 TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 69 TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
10.8 OTHER VERTICALS
TABLE 70 OTHER VERTICALS: MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 71 OTHER VERTICALS: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
11 SENSITIVE DATA DISCOVERY MARKET, BY REGION (Page No. - 139)
11.1 INTRODUCTION
FIGURE 44 INDIA TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 45 ASIA PACIFIC TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
TABLE 72 MARKET SIZE, BY REGION, 2014–2019 (USD MILLION)
TABLE 73 MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
11.2 NORTH AMERICA
11.2.1 NORTH AMERICA: MARKET DRIVERS
11.2.2 NORTH AMERICA: COVID-19 IMPACT
11.2.3 NORTH AMERICA: REGULATIONS
11.2.3.1 Health Insurance Portability and Accountability Act of 1996
11.2.3.2 California Consumer Privacy Act
11.2.3.3 Gramm–Leach–Bliley Act
11.2.3.4 Health Information Technology for Economic and Clinical Health Act
11.2.3.5 Sarbanes Oxley Act
11.2.3.6 Federal Information Security Management Act
11.2.3.7 Payment Card Industry Data Security Standard
11.2.3.8 Federal Information Processing Standards
FIGURE 46 NORTH AMERICA: MARKET SNAPSHOT
TABLE 74 NORTH AMERICA: SENSITIVE DATA DISCOVERY MARKET SIZE, BY COMPONENT, 2014–2019 (USD MILLION)
TABLE 75 NORTH AMERICA: MARKET SIZE, BY COMPONENT, 2019–2026 (USD MILLION)
TABLE 76 NORTH AMERICA: MARKET SIZE, BY SERVICE, 2014–2019 (USD MILLION)
TABLE 77 NORTH AMERICA: MARKET SIZE, BY SERVICE, 2019–2026 (USD MILLION)
TABLE 78 NORTH AMERICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2014–2019 (USD MILLION)
TABLE 79 NORTH AMERICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2019–2026 (USD MILLION)
TABLE 80 NORTH AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2014–2019 (USD MILLION)
TABLE 81 NORTH AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2019–2026 (USD MILLION)
TABLE 82 NORTH AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2014–2019 (USD MILLION)
TABLE 83 NORTH AMERICA: SENSITIVE DATA DISCOVERY MARKET SIZE, BY DEPLOYMENT MODE, 2019–2026 (USD MILLION)
TABLE 84 NORTH AMERICA: MARKET SIZE, BY CLOUD TYPE, 2014–2019 (USD MILLION)
TABLE 85 NORTH AMERICA: MARKET SIZE, BY CLOUD TYPE, 2019–2026 (USD MILLION)
TABLE 86 NORTH AMERICA: MARKET SIZE, BY APPLICATION, 2014–2019 (USD MILLION)
TABLE 87 NORTH AMERICA: MARKET SIZE, BY APPLICATION, 2019–2026 (USD MILLION)
TABLE 88 NORTH AMERICA: MARKET SIZE, BY VERTICAL, 2014–2019 (USD MILLION)
TABLE 89 NORTH AMERICA: MARKET SIZE, BY VERTICAL, 2019–2026 (USD MILLION)
TABLE 90 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2014–2019 (USD MILLION)
TABLE 91 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2019–2026 (USD MILLION)
11.2.4 UNITED STATES
11.2.5 CANADA
11.3 EUROPE
11.3.1 EUROPE: MARKET DRIVERS
11.3.2 EUROPE: COVID-19 IMPACT
11.3.3 EUROPE: REGULATIONS
11.3.3.1 General Data Protection Regulation
11.3.3.2 European Committee for Standardization
11.3.3.3 European Technical Standards Institute
TABLE 92 EUROPE: SENSITIVE DATA DISCOVERY MARKET SIZE, BY COMPONENT, 2014–2019 (USD MILLION)
TABLE 93 EUROPE: MARKET SIZE, BY COMPONENT, 2019–2026 (USD MILLION)
TABLE 94 EUROPE: MARKET SIZE, BY SERVICE, 2014–2019 (USD MILLION)
TABLE 95 EUROPE: MARKET SIZE, BY SERVICE, 2019–2026 (USD MILLION)
TABLE 96 EUROPE: MARKET SIZE, BY PROFESSIONAL SERVICE, 2014–2019 (USD MILLION)
TABLE 97 EUROPE: MARKET SIZE, BY PROFESSIONAL SERVICE, 2019–2026 (USD MILLION)
TABLE 98 EUROPE: MARKET SIZE, BY ORGANIZATION SIZE, 2014–2019 (USD MILLION)
TABLE 99 EUROPE: MARKET SIZE, BY ORGANIZATION SIZE, 2019–2026 (USD MILLION)
TABLE 100 EUROPE: MARKET SIZE, BY DEPLOYMENT MODE, 2014–2019 (USD MILLION)
TABLE 101 EUROPE: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2026 (USD MILLION)
TABLE 102 EUROPE: MARKET SIZE, BY CLOUD TYPE, 2014–2019 (USD MILLION)
TABLE 103 EUROPE: MARKET SIZE, BY CLOUD TYPE, 2019–2026 (USD MILLION)
TABLE 104 EUROPE: MARKET SIZE, BY APPLICATION, 2014–2019 (USD MILLION)
TABLE 105 EUROPE: MARKET SIZE, BY APPLICATION, 2019–2026 (USD MILLION)
TABLE 106 EUROPE: MARKET SIZE, BY VERTICAL, 2014–2019 (USD MILLION)
TABLE 107 EUROPE: MARKET SIZE, BY VERTICAL, 2019–2026 (USD MILLION)
TABLE 108 EUROPE: MARKET SIZE, BY COUNTRY, 2014–2019 (USD MILLION)
TABLE 109 EUROPE: MARKET SIZE, BY COUNTRY, 2019–2026 (USD MILLION)
11.3.4 UNITED KINGDOM
11.3.5 GERMANY
11.3.6 FRANCE
11.3.7 REST OF EUROPE
11.4 ASIA PACIFIC
11.4.1 ASIA PACIFIC: SENSITIVE DATA DISCOVERY MARKET DRIVERS
11.4.2 ASIA PACIFIC: COVID-19 IMPACT
11.4.3 ASIA PACIFIC: REGULATIONS
11.4.3.1 Privacy Commissioner for Personal Data
11.4.3.2 Act on the Protection of Personal Information
11.4.3.3 Critical Information Infrastructure
11.4.3.4 International Organization for Standardization 27001
11.4.3.5 Personal Data Protection Act
FIGURE 47 ASIA PACIFIC: MARKET SNAPSHOT
TABLE 110 ASIA PACIFIC: SENSITIVE DATA DISCOVERY MARKET SIZE, BY COMPONENT, 2014–2019 (USD MILLION)
TABLE 111 ASIA PACIFIC: MARKET SIZE, BY COMPONENT, 2019–2026 (USD MILLION)
TABLE 112 ASIA PACIFIC: MARKET SIZE, BY SERVICE, 2014–2019 (USD MILLION)
TABLE 113 ASIA PACIFIC: MARKET SIZE, BY SERVICE, 2019–2026 (USD MILLION)
TABLE 114 ASIA PACIFIC: MARKET SIZE, BY PROFESSIONAL SERVICE, 2014–2019 (USD MILLION)
TABLE 115 ASIA PACIFIC: MARKET SIZE, BY PROFESSIONAL SERVICE, 2019–2026 (USD MILLION)
TABLE 116 ASIA PACIFIC: MARKET SIZE, BY ORGANIZATION SIZE, 2014–2019 (USD MILLION)
TABLE 117 ASIA PACIFIC: MARKET SIZE, BY ORGANIZATION SIZE, 2019–2026 (USD MILLION)
TABLE 118 ASIA PACIFIC: MARKET SIZE, BY DEPLOYMENT MODE, 2014–2019 (USD MILLION)
TABLE 119 ASIA PACIFIC: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2026 (USD MILLION)
TABLE 120 ASIA PACIFIC: MARKET SIZE, BY CLOUD TYPE, 2014–2019 (USD MILLION)
TABLE 121 ASIA PACIFIC: MARKET SIZE, BY CLOUD TYPE, 2019–2026 (USD MILLION)
TABLE 122 ASIA PACIFIC: MARKET SIZE, BY APPLICATION, 2014–2019 (USD MILLION)
TABLE 123 ASIA PACIFIC: MARKET SIZE, BY APPLICATION, 2019–2026 (USD MILLION)
TABLE 124 ASIA PACIFIC: MARKET SIZE, BY VERTICAL, 2014–2019 (USD MILLION)
TABLE 125 ASIA PACIFIC: MARKET SIZE, BY VERTICAL, 2019–2026 (USD MILLION)
TABLE 126 ASIA PACIFIC: MARKET SIZE, BY COUNTRY, 2014–2019 (USD MILLION)
TABLE 127 ASIA PACIFIC: MARKET SIZE, BY COUNTRY, 2019–2026 (USD MILLION)
11.4.4 CHINA
11.4.5 JAPAN
11.4.6 INDIA
11.4.7 REST OF ASIA PACIFIC
11.5 MIDDLE EAST AND AFRICA
11.5.1 MIDDLE EAST AND AFRICA: MARKET DRIVERS
11.5.2 MIDDLE EAST AND AFRICA: COVID-19 IMPACT
11.5.3 MIDDLE EAST AND AFRICA: REGULATIONS
11.5.3.1 Israeli Privacy Protection Regulations (Data Security), 5777-2017
11.5.3.2 Cloud Computing Framework
11.5.3.3 GDPR Applicability in the Kingdom of Saudi Arabia (KSA)
11.5.3.4 Protection of Personal Information Act
TABLE 128 MIDDLE EAST AND AFRICA: SENSITIVE DATA DISCOVERY MARKET SIZE, BY COMPONENT, 2014–2019 (USD MILLION)
TABLE 129 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COMPONENT, 2020–2026 (USD MILLION)
TABLE 130 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SERVICE, 2014–2019 (USD MILLION)
TABLE 131 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SERVICE, 2019–2026 (USD MILLION)
TABLE 132 MIDDLE EAST AND AFRICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2014–2019 (USD MILLION)
TABLE 133 MIDDLE EAST AND AFRICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2019–2026 (USD MILLION)
TABLE 134 MIDDLE EAST AND AFRICA: MARKET SIZE, BY ORGANIZATION SIZE, 2014–2019 (USD MILLION)
TABLE 135 MIDDLE EAST AND AFRICA: MARKET SIZE, BY ORGANIZATION SIZE, 2019–2026 (USD MILLION)
TABLE 136 MIDDLE EAST AND AFRICA: MARKET SIZE, BY DEPLOYMENT MODE, 2014–2019 (USD MILLION)
TABLE 137 MIDDLE EAST AND AFRICA: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2026 (USD MILLION)
TABLE 138 MIDDLE EAST AND AFRICA: MARKET SIZE, BY CLOUD TYPE, 2014–2019 (USD MILLION)
TABLE 139 MIDDLE EAST AND AFRICA: MARKET SIZE, BY CLOUD TYPE, 2019–2025 (USD MILLION)
TABLE 140 MIDDLE EAST AND AFRICA: MARKET SIZE, BY APPLICATION, 2014–2019 (USD MILLION)
TABLE 141 MIDDLE EAST AND AFRICA: MARKET SIZE, BY APPLICATION, 2019–2026 (USD MILLION)
TABLE 142 MIDDLE EAST AND AFRICA: MARKET SIZE, BY VERTICAL, 2014–2019 (USD MILLION)
TABLE 143 MIDDLE EAST AND AFRICA: MARKET SIZE, BY VERTICAL, 2019–2026 (USD MILLION)
TABLE 144 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COUNTRY, 2014–2019 (USD MILLION)
TABLE 145 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COUNTRY, 2020–2026 (USD MILLION)
11.5.4 KINGDOM OF SAUDI ARABIA
11.5.5 UNITED ARAB EMIRATES
11.5.6 SOUTH AFRICA
11.5.7 REST OF MIDDLE EAST AND AFRICA
11.6 LATIN AMERICA
11.6.1 LATIN AMERICA: SENSITIVE DATA DISCOVERY MARKET DRIVERS
11.6.2 LATIN AMERICA: COVID-19 IMPACT
11.6.3 LATIN AMERICA: REGULATIONS
11.6.3.1 Brazil Data Protection Law
11.6.3.2 Argentina Personal Data Protection Law No. 25.326
TABLE 146 LATIN AMERICA: MARKET SIZE, BY COMPONENT, 2014–2019 (USD MILLION)
TABLE 147 LATIN AMERICA: MARKET SIZE, BY COMPONENT, 2019–2026 (USD MILLION)
TABLE 148 LATIN AMERICA: MARKET SIZE, BY SERVICE, 2014–2019 (USD MILLION)
TABLE 149 LATIN AMERICA: MARKET SIZE, BY SERVICE, 2019–2026 (USD MILLION)
TABLE 150 LATIN AMERICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2014-2019 (USD MILLION)
TABLE 151 LATIN AMERICA: MARKET SIZE, BY PROFESSIONAL SERVICE, 2019–2026 (USD MILLION)
TABLE 152 LATIN AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2014–2019 (USD MILLION)
TABLE 153 LATIN AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2019–2026 (USD MILLION)
TABLE 154 LATIN AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2014–2019 (USD MILLION)
TABLE 155 LATIN AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2026 (USD MILLION)
TABLE 156 LATIN AMERICA: SENSITIVE DATA DISCOVERY MARKET SIZE, BY CLOUD TYPE, 2014–2019 (USD MILLION)
TABLE 157 LATIN AMERICA: MARKET SIZE, BY CLOUD TYPE, 2019–2026 (USD MILLION)
TABLE 158 LATIN AMERICA: MARKET SIZE, BY APPLICATION, 2014–2019 (USD MILLION)
TABLE 159 LATIN AMERICA: MARKET SIZE, BY APPLICATION, 2019–2026 (USD MILLION)
TABLE 160 LATIN AMERICA: MARKET SIZE, BY VERTICAL, 2014–2019 (USD MILLION)
TABLE 161 LATIN AMERICA: MARKET SIZE, BY VERTICAL, 2019–2026 (USD MILLION)
TABLE 162 LATIN AMERICA: MARKET SIZE, BY COUNTRY, DONE2014–2019 (USD MILLION)
TABLE 163 LATIN AMERICA: MARKET SIZE, BY COUNTRY, 2020–2025 (USD MILLION)
11.6.4 BRAZIL
11.6.5 MEXICO
11.6.6 REST OF LATIN AMERICA
12 COMPETITIVE LANDSCAPE (Page No. - 199)
12.1 OVERVIEW
12.2 MARKET EVALUATION FRAMEWORK
FIGURE 48 MARKET EVALUATION FRAMEWORK: PARTNERSHIPS AND EXPANSIONS FROM 2018 TO 2020
12.3 MARKET SHARE, 2020
FIGURE 49 MICROSOFT TO LEAD SENSITIVE DATA DISCOVERY MARKET IN 2020
12.4 HISTORICAL REVENUE ANALYSIS OF KEY MARKET PLAYERS
FIGURE 50 REVENUE ANALYSIS OF KEY MARKET PLAYERS
12.5 KEY PLAYERS IN MARKET, 2020
FIGURE 51 RANKING OF KEY PLAYERS, 2020
12.6 KEY MARKET DEVELOPMENTS
12.6.1 NEW PRODUCT LAUNCHES AND PRODUCT ENHANCEMENTS
TABLE 164 NEW PRODUCT LAUNCHES AND PRODUCT ENHANCEMENTS, 2018–2020
12.6.2 BUSINESS EXPANSIONS
TABLE 165 BUSINESS EXPANSIONS, 2019-2020
12.6.3 MERGERS AND ACQUISITIONS
TABLE 166 MERGERS AND ACQUISITIONS, 2018–2021
12.6.4 PARTNERSHIPS, AGREEMENTS, CONTRACTS, AND COLLABORATIONS
TABLE 167 PARTNERSHIPS, AGREEMENTS, CONTRACTS, AND COLLABORATIONS, 2018–2020
12.7 COMPANY EVALUATION MATRIX, 2020
12.7.1 STAR
12.7.2 EMERGING LEADERS
12.7.3 PERVASIVE
12.7.4 PARTICIPANTS
FIGURE 52 SENSITIVE DATA DISCOVERY MARKET (GLOBAL), COMPANY EVALUATION MATRIX, 2020
12.7.5 STRENGTH OF PRODUCT PORTFOLIO
FIGURE 53 PRODUCT PORTFOLIO ANALYSIS OF TOP PLAYERS IN MARKET
12.7.6 BUSINESS STRATEGY EXCELLENCE
FIGURE 54 BUSINESS STRATEGY EXCELLENCE OF TOP PLAYERS IN MARKET
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
FIGURE 55 SENSITIVE DATA DISCOVERY MARKET (GLOBAL), STARTUP/SME EVALUATION MATRIX, 2020
12.8.5 STRENGTH OF PRODUCT PORTFOLIO
FIGURE 56 PRODUCT PORTFOLIO ANALYSIS OF TOP STARTUPS IN MARKET
12.8.6 BUSINESS STRATEGY EXCELLENCE
FIGURE 57 BUSINESS STRATEGY EXCELLENCE OF TOP STARTUPS IN MARKET
13 COMPANY PROFILES (Page No. - 214)
13.1 INTRODUCTION
(Business overview, Solutions and services offered, Recent developments & MnM View)*
13.2 MICROSOFT
FIGURE 58 MICROSOFT: COMPANY SNAPSHOT
13.3 IBM
FIGURE 59 IBM: COMPANY SNAPSHOT
13.4 ORACLE
FIGURE 60 ORACLE: COMPANY SNAPSHOT
13.5 AMAZON WEB SERVICES
FIGURE 61 AMAZON WEB SERVICES: COMPANY SNAPSHOT
13.6 PROOFPOINT
FIGURE 62 PROOFPOINT: COMPANY SNAPSHOT
13.7 GOOGLE
FIGURE 63 GOOGLE: COMPANY SNAPSHOT
13.8 MICRO FOCUS
FIGURE 64 MICRO FOCUS: COMPANY SNAPSHOT
13.9 THALES
FIGURE 65 THALES: COMPANY SNAPSHOT
13.10 SOLARWINDS
FIGURE 66 SOLARWINDS: COMPANY SNAPSHOT
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
*Details on Business overview, Solutions and services offered, Recent developments & MnM View might not be captured in case of unlisted companies.
14 ADJACENT AND RELATED MARKETS (Page No. - 274)
14.1 INTRODUCTION
14.2 BUSINESS INTELLIGENCE MARKET - GLOBAL FORECAST TO 2025
14.2.1 MARKET DEFINITION
14.2.2 MARKET OVERVIEW
14.2.2.1 Business intelligence market, by component
TABLE 168 BUSINESS INTELLIGENCE MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
TABLE 169 BUSINESS INTELLIGENCE MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
14.2.2.2 Business intelligence market, by deployment mode
TABLE 170 BUSINESS INTELLIGENCE MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
TABLE 171 BUSINESS INTELLIGENCE MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
14.2.2.3 Business intelligence market, by organization size
TABLE 172 BUSINESS INTELLIGENCE MARKET SIZE, BY ORGANIZATION SIZE, 2016–2019 (USD MILLION)
TABLE 173 BUSINESS INTELLIGENCE MARKET SIZE, BY ORGANIZATION SIZE, 2019–2025 (USD MILLION)
14.2.2.4 Business intelligence market, by business function
TABLE 174 BUSINESS INTELLIGENCE MARKET SIZE, BY BUSINESS FUNCTION, 2016–2019 (USD MILLION)
TABLE 175 BUSINESS INTELLIGENCE MARKET SIZE, BY BUSINESS FUNCTION, 2019–2025 (USD MILLION)
14.2.2.5 Business intelligence market, by industry vertical
TABLE 176 BUSINESS INTELLIGENCE MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2019 (USD MILLION)
TABLE 177 BUSINESS INTELLIGENCE MARKET SIZE, BY INDUSTRY VERTICAL, 2019–2025 (USD MILLION)
14.2.2.6 Business intelligence market, by region
TABLE 178 BUSINESS INTELLIGENCE MARKET SIZE, BY REGION, 2016–2019 (USD MILLION)
TABLE 179 BUSINESS INTELLIGENCE MARKET SIZE, BY REGION, 2019–2025 (USD MILLION)
14.3 DATA CLASSIFICATION MARKET - GLOBAL FORECAST TO 2023
14.3.1 MARKET DEFINITION
14.3.2 MARKET OVERVIEW
TABLE 180 GLOBAL DATA CLASSIFICATION MARKET SIZE AND GROWTH RATE, 2016–2023 (USD MILLION, Y-O-Y %)
14.3.2.1 Data classification market, by component
TABLE 181 DATA CLASSIFICATION MARKET SIZE, BY COMPONENT, 2016–2023 (USD MILLION)
14.3.2.2 Data classification market, by methodology
TABLE 182 DATA CLASSIFICATION MARKET SIZE, BY METHODOLOGY, 2016–2023 (USD MILLION)
14.3.2.3 Data classification market, by application
TABLE 183 DATA CLASSIFICATION MARKET SIZE, BY APPLICATION, 2016–2023 (USD MILLION)
14.3.2.4 Data classification market, by vertical
TABLE 184 DATA CLASSIFICATION MARKET SIZE, BY VERTICAL, 2016–2023 (USD MILLION)
14.3.2.5 Data classification market, by region
TABLE 185 DATA CLASSIFICATION MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
15 APPENDIX (Page No. - 284)
15.1 INDUSTRY EXPERTS
15.2 DISCUSSION GUIDE
15.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.4 AVAILABLE CUSTOMIZATIONS
15.5 RELATED REPORTS
15.6 AUTHOR DETAILS
The study involved four major activities in estimating the current market size of sensitive data discovery market. Extensive secondary research was done to collect information on the market, peer market, and parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were used to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the sensitive data discovery market.
Secondary Research
In the secondary research process, various secondary sources, such as Information Discovery and Delivery, Journal of Data Mining and Knowledge Discovery, and Data Science Journal, have been referred to for identifying and collecting information for this study. Secondary sources included annual reports; press releases & investor presentations of companies; whitepapers, certified publications, and articles by recognized authors; gold standard and silver standard websites; Research and Development (R&D) organizations; regulatory bodies; and databases.
Primary Research
Various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief X Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and product development/innovation teams; related key executives from sensitive data discovery solution vendors, system integrators, professional service providers, industry associations, and consultants; and key opinion leaders. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
The following is the breakup of primary profiles:
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Both top-down and bottom-up approaches were used to estimate and validate the total size of the sensitive data discovery market. The top-down approach was used to derive the revenue contribution of top vendors and their offerings in the market. The bottom-up approach was used to arrive at the overall market size of the global sensitive data discovery market using key companies’ revenue and their offerings in the market. The research methodology used to estimate the market size includes the following:
- The key players in the market were identified through extensive secondary research.
- The market size, in terms of value, was determined through primary and secondary research processes.
- All percentages, shares, and breakups were determined using secondary sources and verified through primary sources.
Data Triangulation
After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.
Report Objectives
- To define, describe, and forecast the sensitive data discovery market by component (solutions and services), organization size, deployment mode, application, vertical, and region
- To provide detailed information about the major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
- To analyze the opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
- To forecast the market size of segments with respect to five main regions: North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
- To profile the key players and comprehensively analyze their market rankings and core competencies
- To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the market
- To analyze the impact of the COVID-19 pandemic on the sensitive data discovery market
Available customizations
With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:
Product analysis
- Product matrix provides a detailed comparison of the product portfolio of each company
Geographic analysis
- Further breakup of the North American sensitive data discovery market
- Further breakup of the European market
- Further breakup of the APAC market
- Further breakup of the Latin American overy market
- Further breakup of the MEA market
Company information
- Detailed analysis and profiling of additional market players up to 5
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Generating Response ...
Growth opportunities and latent adjacency in Sensitive Data Discovery Market