Data Masking Market by Data Masking Type (Static and Dynamic), Component (Software and Services), Deployment Type, Organization Size, Business Function (Finance, Marketing & Sales, Operations, and Legal), Vertical, and Region - Global Forecast to 2022
“Dynamic business natures and explosion of business data volumes are expected to drive the data masking market growth”
The global data masking market size is expected to grow from USD 384.8 million in 2017 to USD 767.0 million by 2022, at a Compound Annual Growth Rate (CAGR) of 14.8%. Rise in organizational data volume, compliance with privacy regulations, and protecting data from unnecessary internal exposure and external service providers are some of the factors that have significantly fueled the growth of the data masking market. However, limited efficiencies to hide all the content of the data, is one of the major restraining factors for the data masking market.
“Finance as a business function is expected to hold the largest market size during the forecast period”
Considering the significant demand among the enterprise for securing their finance-related data, need for data masking and better security solutions are expected to play a major role in the expansion of this market. Data-driven finance has enforced accounts department in every organization to store and maintain financial data which comprises huge monetary transactions, which if leaked, the company is likely to face issues with its reputation and monetary losses in the market, and also with regulatory directives such as PCI DSS, HIPAA, along with other enforced laws. This can be considered as the major factor for the growth of data masking market in this business function.
“Asia Pacific (APAC) is projected to grow at the highest rate during the forecast period”
The data masking market growth in the APAC region has started to gain momentum and is expected to witness the highest growth rate in the coming years. The rapid digitization among developing countries such as India, China, and Singapore has resulted in the production of the bulk of unstructured data. The region has shown unexplored potential in the higher adoption of data security solutions, which can be attributed to the evolving regulations that are encouraging many multi-national operators to enter this market for business expansion. Furthermore, increasing awareness has attributed to the continuous emphasis of companies in improving customer service to drive competitive differentiation and revenue growth. This is one of the major factor driving the adoption of data masking solutions in this region
In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with key people. The break-up of the profiles of the primary participants is given below:
1. IBM Corporation (US)
2. Informatica (US)
3. CA Technologies, Inc. (US)
4. Solix Technologies, Inc. (US)
5. Innovative Routines International, Inc. (US)
6. Oracle Corporation(US)
7. Deplhix (US)
8. MENTIS (US)
9. Micro Focus (US)
10. Compuware Corporation (US)
11. Ekobit d.o.o. (Croatia)
12. ARCAD Software (France)
Research Coverage
The report segments the data masking market based on data masking type, which is segmented into static data masking and dynamic data masking. It is then segmented by components which are further segmented into software and services. Services are further categorized into managed services and professional services. Under professional services, the report is further segmented into support and maintenance, and consulting services. Based on deployment type, the market is segmented into on-premises and cloud. Under organization size, it is segmented into Small and Medium-Sized Enterprises (SMEs) and large enterprises. Further, under industry verticals, the market includes retail and eCommerce, manufacturing, government and defense, healthcare and life sciences, telecommunications and IT, media and entertainment, Banking, Financial Services, and Insurance (BFSI), and others (logistics and transportation, travel and hospitality, and utilities). The regions are segmented into North America, Europe, APAC, Middle East and Africa (MEA), and Latin America.
Reasons to buy the report
The report will help the market leaders/new entrants in this market in the following ways:
1. This report segments the data masking market comprehensively and provides the closest approximations of the revenue numbers for the overall market and subsegments across different industry verticals and regions.
2. The report helps stakeholders to understand the pulse of the market and provides them with information on the key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to better understand the competitors and gain more insights to enhance their position in the business. The competitive landscape section includes new product launches/developments; partnerships and collaborations; mergers and acquisitions; and expansions
The global data masking market size is expected to grow from USD 384.8 million in 2017 to USD 767.0 million by 2022, at a Compound Annual Growth Rate (CAGR) of 14.8%. Rise in organizational data volume, compliance with privacy regulations, and protecting data from unnecessary internal exposure and external service providers are some of the factors that have significantly fueled the growth of the data masking market. However, limited efficiencies to hide all the content of the data, is one of the major restraining factors for the data masking market.
“Finance as a business function is expected to hold the largest market size during the forecast period”
Considering the significant demand among the enterprise for securing their finance-related data, need for data masking and better security solutions are expected to play a major role in the expansion of this market. Data-driven finance has enforced accounts department in every organization to store and maintain financial data which comprises huge monetary transactions, which if leaked, the company is likely to face issues with its reputation and monetary losses in the market, and also with regulatory directives such as PCI DSS, HIPAA, along with other enforced laws. This can be considered as the major factor for the growth of data masking market in this business function.
“Asia Pacific (APAC) is projected to grow at the highest rate during the forecast period”
The data masking market growth in the APAC region has started to gain momentum and is expected to witness the highest growth rate in the coming years. The rapid digitization among developing countries such as India, China, and Singapore has resulted in the production of the bulk of unstructured data. The region has shown unexplored potential in the higher adoption of data security solutions, which can be attributed to the evolving regulations that are encouraging many multi-national operators to enter this market for business expansion. Furthermore, increasing awareness has attributed to the continuous emphasis of companies in improving customer service to drive competitive differentiation and revenue growth. This is one of the major factor driving the adoption of data masking solutions in this region
In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with key people. The break-up of the profiles of the primary participants is given below:
- By Company: Tier 1: 22%, Tier 2: 30%, and Tier 3: 48%
- By Designation: C-level: 30%, Director level: 45%, and Others: 25%
- By Region: North America: 48%, Europe: 30%, and APAC: 22%
1. IBM Corporation (US)
2. Informatica (US)
3. CA Technologies, Inc. (US)
4. Solix Technologies, Inc. (US)
5. Innovative Routines International, Inc. (US)
6. Oracle Corporation(US)
7. Deplhix (US)
8. MENTIS (US)
9. Micro Focus (US)
10. Compuware Corporation (US)
11. Ekobit d.o.o. (Croatia)
12. ARCAD Software (France)
Research Coverage
The report segments the data masking market based on data masking type, which is segmented into static data masking and dynamic data masking. It is then segmented by components which are further segmented into software and services. Services are further categorized into managed services and professional services. Under professional services, the report is further segmented into support and maintenance, and consulting services. Based on deployment type, the market is segmented into on-premises and cloud. Under organization size, it is segmented into Small and Medium-Sized Enterprises (SMEs) and large enterprises. Further, under industry verticals, the market includes retail and eCommerce, manufacturing, government and defense, healthcare and life sciences, telecommunications and IT, media and entertainment, Banking, Financial Services, and Insurance (BFSI), and others (logistics and transportation, travel and hospitality, and utilities). The regions are segmented into North America, Europe, APAC, Middle East and Africa (MEA), and Latin America.
Reasons to buy the report
The report will help the market leaders/new entrants in this market in the following ways:
1. This report segments the data masking market comprehensively and provides the closest approximations of the revenue numbers for the overall market and subsegments across different industry verticals and regions.
2. The report helps stakeholders to understand the pulse of the market and provides them with information on the key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to better understand the competitors and gain more insights to enhance their position in the business. The competitive landscape section includes new product launches/developments; partnerships and collaborations; mergers and acquisitions; and expansions
1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 MARKET SCOPE
1.4 YEARS CONSIDERED FOR THE STUDY
1.5 CURRENCY
1.6 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Breakdown of primaries
2.1.2.2 Key industry insights
2.2 MARKET SIZE ESTIMATION
2.3 RESEARCH ASSUMPTIONS
2.4 LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE DATA MASKING MARKET
4.2 DATA MASKING MARKET, BY REGION
4.3 DATA MASKING MARKET, BY REGION AND VERTICAL
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.1.1 MARKET DYNAMICS
5.1.1.1 Drivers
5.1.1.1.1 Rise in organizational data volumes
5.1.1.1.2 Compliance with privacy regulations
5.1.1.1.3 Protecting data from unnecessary internal exposure and external service providers
5.1.1.2 Restraints
5.1.1.2.1 Does not hide all the content of the data
5.1.1.3 Opportunities
5.1.1.3.1 Expanding use of data analytics
5.1.1.4 Challenges
5.1.1.4.1 Complexities in data integration and customization
5.1.1.4.2 Loopholes in identifying sensitive data
5.2 INDUSTRY TRENDS
5.2.1 DATA MASKING USE CASES
5.2.1.1 Introduction
5.2.1.2 USE CASE #1
5.2.1.3 USE CASE #2:
5.2.1.4 USE CASE #3:
5.3 REGULATORY IMPLICATIONS
5.3.1 INTRODUCTION
5.3.2 SARBANES-OXLEY ACT OF 2002
5.3.3 GENERAL DATA PROTECTION REGULATION (GDPR)
5.3.4 BASEL
5.3.5 GOVERNANCE, RISK, AND COMPLIANCE
5.3.6 HIPAA/HITECH
5.4 BEST PRACTICES TO BE FOLLOWED DURING DATA MASKING
6 DATA MASKING MARKET, BY DATA MASKING TYPE
6.1 INTRODUCTION
6.2 STATIC
6.3 DYNAMIC
7 DATA MASKING MARKET, BY BUSINESS FUNCTION
7.1 INTRODUCTION
7.2 FINANCE
7.3 OPERATIONS
7.4 MARKETING AND SALES
7.5 HUMAN RESOURCES
7.6 LEGAL
7.7 OTHERS
8 DATA MASKING MARKET, BY COMPONENT
8.1 INTRODUCTION
8.2 SOFTWARE
8.3 SERVICES
8.3.1 PROFESSIONAL SERVICES
8.3.1.1 Consulting services
8.3.1.2 Support and maintenance services
8.3.2 MANAGED SERVICES
9 DATA MASKING MARKET, BY DEPLOYMENT TYPE
9.1 INTRODUCTION
9.2 ON-PREMISES
9.3 CLOUD
10 DATA MASKING MARKET, BY ORGANIZATION SIZE
10.1 INTRODUCTION
10.2 LARGE ENTERPRISES
10.3 SMALL AND MEDIUM-SIZED ENTERPRISES
11 DATA MASKING MARKET, BY VERTICAL
11.1 INTRODUCTION
11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
11.3 HEALTHCARE AND LIFE SCIENCES
11.4 RETAIL AND ECOMMERCE
11.5 TELECOMMUNICATIONS AND IT
11.6 GOVERNMENT AND DEFENSE
11.7 MEDIA AND ENTERTAINMENT
11.8 MANUFACTURING
11.9 OTHERS
12 DATA MASKING MARKET, BY REGION
12.1 INTRODUCTION
12.2 NORTH AMERICA
12.2.1 BY COUNTRY
12.2.1.1 United States
12.2.1.2 Canada
12.2.2 BY DATA MASKING TYPE
12.2.3 BY BUSINESS FUNCTION
12.2.4 BY COMPONENT
12.2.5 BY SERVICE
12.2.6 BY DEPLOYMENT TYPE
12.2.7 BY ORGANIZATION SIZE
12.2.8 BY VERTICAL
12.3 EUROPE
12.3.1 BY COUNTRY
12.3.1.1 United Kingdom
12.3.1.2 Germany
12.3.1.3 Rest of Europe
12.3.2 BY DATA MASKING TYPE
12.3.3 BY BUSINESS FUNCTION
12.3.4 BY COMPONENT
12.3.5 BY SERVICE
12.3.6 BY DEPLOYMENT TYPE
12.3.7 BY ORGANIZATION SIZE
12.3.8 BY VERTICAL
12.4 ASIA PACIFIC
12.4.1 BY COUNTRY
12.4.1.1 China
12.4.1.2 India
12.4.1.3 Rest of Asia Pacific
12.4.2 BY DATA MASKING TYPE
12.4.3 BY BUSINESS FUNCTION
12.4.4 BY COMPONENT
12.4.5 BY SERVICE
12.4.6 BY DEPLOYMENT TYPE
12.4.7 BY ORGANIZATION SIZE
12.4.8 BY VERTICAL
12.5 LATIN AMERICA
12.5.1 BY COUNTRY
12.5.1.1 Mexico
12.5.1.2 Brazil
12.5.1.3 Rest of Latin America
12.5.2 BY DATA MASKING TYPE
12.5.3 BY BUSINESS FUNCTION
12.5.4 BY COMPONENT
12.5.5 BY SERVICE
12.5.6 BY DEPLOYMENT TYPE
12.5.7 BY ORGANIZATION SIZE
12.5.8 BY VERTICAL
12.6 MIDDLE EAST AND AFRICA
12.6.1 BY REGION
12.6.1.1 Middle East
12.6.1.2 Africa
12.6.2 BY DATA MASKING TYPE
12.6.3 BY BUSINESS FUNCTION
12.6.4 BY COMPONENT
12.6.5 BY SERVICE
12.6.6 BY DEPLOYMENT TYPE
12.6.7 BY ORGANIZATION SIZE
12.6.8 BY VERTICAL
13 COMPETITIVE LANDSCAPE
13.1 OVERVIEW
13.2 MARKET STANDING, BY KEY PLAYER
13.3 COMPETITIVE SCENARIO
13.3.1 NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATION
13.3.2 PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS
13.3.3 MERGERS AND ACQUISITIONS
13.3.4 BUSINESS EXPANSIONS
14 COMPANY PROFILES
(Business Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments)*
14.1 IBM
14.2 INFORMATICA
14.3 CA TECHNOLOGIES
14.4 SOLIX
14.5 IRI
14.6 DELPHIX
14.7 MENTIS
14.8 MICRO FOCUS
14.9 ORACLE
14.10 COMPUWARE
14.11 KEY INNOVATORS
14.11.1 EKOBIT
14.11.2 ARCAD SOFTWARE
*Details on Business Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments might not be captured in case of unlisted companies.
15 APPENDIX
15.1 INSIGHTS OF INDUSTRY EXPERTS
15.2 DISCUSSION GUIDE
15.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
15.5 AVAILABLE CUSTOMIZATION
15.6 RELATED REPORTS
15.7 AUTHOR DETAILS
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 MARKET SCOPE
1.4 YEARS CONSIDERED FOR THE STUDY
1.5 CURRENCY
1.6 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Breakdown of primaries
2.1.2.2 Key industry insights
2.2 MARKET SIZE ESTIMATION
2.3 RESEARCH ASSUMPTIONS
2.4 LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE DATA MASKING MARKET
4.2 DATA MASKING MARKET, BY REGION
4.3 DATA MASKING MARKET, BY REGION AND VERTICAL
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.1.1 MARKET DYNAMICS
5.1.1.1 Drivers
5.1.1.1.1 Rise in organizational data volumes
5.1.1.1.2 Compliance with privacy regulations
5.1.1.1.3 Protecting data from unnecessary internal exposure and external service providers
5.1.1.2 Restraints
5.1.1.2.1 Does not hide all the content of the data
5.1.1.3 Opportunities
5.1.1.3.1 Expanding use of data analytics
5.1.1.4 Challenges
5.1.1.4.1 Complexities in data integration and customization
5.1.1.4.2 Loopholes in identifying sensitive data
5.2 INDUSTRY TRENDS
5.2.1 DATA MASKING USE CASES
5.2.1.1 Introduction
5.2.1.2 USE CASE #1
5.2.1.3 USE CASE #2:
5.2.1.4 USE CASE #3:
5.3 REGULATORY IMPLICATIONS
5.3.1 INTRODUCTION
5.3.2 SARBANES-OXLEY ACT OF 2002
5.3.3 GENERAL DATA PROTECTION REGULATION (GDPR)
5.3.4 BASEL
5.3.5 GOVERNANCE, RISK, AND COMPLIANCE
5.3.6 HIPAA/HITECH
5.4 BEST PRACTICES TO BE FOLLOWED DURING DATA MASKING
6 DATA MASKING MARKET, BY DATA MASKING TYPE
6.1 INTRODUCTION
6.2 STATIC
6.3 DYNAMIC
7 DATA MASKING MARKET, BY BUSINESS FUNCTION
7.1 INTRODUCTION
7.2 FINANCE
7.3 OPERATIONS
7.4 MARKETING AND SALES
7.5 HUMAN RESOURCES
7.6 LEGAL
7.7 OTHERS
8 DATA MASKING MARKET, BY COMPONENT
8.1 INTRODUCTION
8.2 SOFTWARE
8.3 SERVICES
8.3.1 PROFESSIONAL SERVICES
8.3.1.1 Consulting services
8.3.1.2 Support and maintenance services
8.3.2 MANAGED SERVICES
9 DATA MASKING MARKET, BY DEPLOYMENT TYPE
9.1 INTRODUCTION
9.2 ON-PREMISES
9.3 CLOUD
10 DATA MASKING MARKET, BY ORGANIZATION SIZE
10.1 INTRODUCTION
10.2 LARGE ENTERPRISES
10.3 SMALL AND MEDIUM-SIZED ENTERPRISES
11 DATA MASKING MARKET, BY VERTICAL
11.1 INTRODUCTION
11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
11.3 HEALTHCARE AND LIFE SCIENCES
11.4 RETAIL AND ECOMMERCE
11.5 TELECOMMUNICATIONS AND IT
11.6 GOVERNMENT AND DEFENSE
11.7 MEDIA AND ENTERTAINMENT
11.8 MANUFACTURING
11.9 OTHERS
12 DATA MASKING MARKET, BY REGION
12.1 INTRODUCTION
12.2 NORTH AMERICA
12.2.1 BY COUNTRY
12.2.1.1 United States
12.2.1.2 Canada
12.2.2 BY DATA MASKING TYPE
12.2.3 BY BUSINESS FUNCTION
12.2.4 BY COMPONENT
12.2.5 BY SERVICE
12.2.6 BY DEPLOYMENT TYPE
12.2.7 BY ORGANIZATION SIZE
12.2.8 BY VERTICAL
12.3 EUROPE
12.3.1 BY COUNTRY
12.3.1.1 United Kingdom
12.3.1.2 Germany
12.3.1.3 Rest of Europe
12.3.2 BY DATA MASKING TYPE
12.3.3 BY BUSINESS FUNCTION
12.3.4 BY COMPONENT
12.3.5 BY SERVICE
12.3.6 BY DEPLOYMENT TYPE
12.3.7 BY ORGANIZATION SIZE
12.3.8 BY VERTICAL
12.4 ASIA PACIFIC
12.4.1 BY COUNTRY
12.4.1.1 China
12.4.1.2 India
12.4.1.3 Rest of Asia Pacific
12.4.2 BY DATA MASKING TYPE
12.4.3 BY BUSINESS FUNCTION
12.4.4 BY COMPONENT
12.4.5 BY SERVICE
12.4.6 BY DEPLOYMENT TYPE
12.4.7 BY ORGANIZATION SIZE
12.4.8 BY VERTICAL
12.5 LATIN AMERICA
12.5.1 BY COUNTRY
12.5.1.1 Mexico
12.5.1.2 Brazil
12.5.1.3 Rest of Latin America
12.5.2 BY DATA MASKING TYPE
12.5.3 BY BUSINESS FUNCTION
12.5.4 BY COMPONENT
12.5.5 BY SERVICE
12.5.6 BY DEPLOYMENT TYPE
12.5.7 BY ORGANIZATION SIZE
12.5.8 BY VERTICAL
12.6 MIDDLE EAST AND AFRICA
12.6.1 BY REGION
12.6.1.1 Middle East
12.6.1.2 Africa
12.6.2 BY DATA MASKING TYPE
12.6.3 BY BUSINESS FUNCTION
12.6.4 BY COMPONENT
12.6.5 BY SERVICE
12.6.6 BY DEPLOYMENT TYPE
12.6.7 BY ORGANIZATION SIZE
12.6.8 BY VERTICAL
13 COMPETITIVE LANDSCAPE
13.1 OVERVIEW
13.2 MARKET STANDING, BY KEY PLAYER
13.3 COMPETITIVE SCENARIO
13.3.1 NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATION
13.3.2 PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS
13.3.3 MERGERS AND ACQUISITIONS
13.3.4 BUSINESS EXPANSIONS
14 COMPANY PROFILES
(Business Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments)*
14.1 IBM
14.2 INFORMATICA
14.3 CA TECHNOLOGIES
14.4 SOLIX
14.5 IRI
14.6 DELPHIX
14.7 MENTIS
14.8 MICRO FOCUS
14.9 ORACLE
14.10 COMPUWARE
14.11 KEY INNOVATORS
14.11.1 EKOBIT
14.11.2 ARCAD SOFTWARE
*Details on Business Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments might not be captured in case of unlisted companies.
15 APPENDIX
15.1 INSIGHTS OF INDUSTRY EXPERTS
15.2 DISCUSSION GUIDE
15.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
15.5 AVAILABLE CUSTOMIZATION
15.6 RELATED REPORTS
15.7 AUTHOR DETAILS
LIST OF TABLES
TABLE 1 DATA MASKING MARKET SIZE AND GROWTH RATE, 2015–2022 (USD MILLION, Y-O-Y %)
TABLE 2 DATA MASKING MARKET SIZE, BY DATA MASKING TYPE, 2015–2022 (USD MILLION)
TABLE 3 STATIC: DATA MASKING MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
TABLE 4 DYNAMIC: DATA MASKING MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
TABLE 5 DATA MASKING MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
TABLE 6 FINANCE: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 7 OPERATIONS: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 8 MARKETING AND SALES: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 9 HUMAN RESOURCES: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 10 LEGAL: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 11 OTHERS: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 12 DATA MASKING MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
TABLE 13 SOFTWARE: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 14 SERVICES: DATA MASKING MARKET SIZE, BY TYPE, 2015–2022 (USD MILLION)
TABLE 15 SERVICES: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 16 PROFESSIONAL SERVICES MARKET SIZE, BY TYPE, 2015–2022 (USD MILLION)
TABLE 17 PROFESSIONAL SERVICES MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 18 CONSULTING SERVICES MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 19 SUPPORT AND MAINTENANCE SERVICES MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 20 MANAGED SERVICES: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 21 DATA MASKING MARKET SIZE, BY DEPLOYMENT TYPE, 2015–2022 (USD MILLION)
TABLE 22 ON-PREMISES: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 23 CLOUD: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 24 DATA MASKING MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
TABLE 25 LARGE ENTERPRISES: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 26 SMALL AND MEDIUM-SIZED ENTERPRISES: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 27 DATA MASKING MARKET SIZE, BY VERTICAL, 2015–2022 (USD MILLION)
TABLE 28 BANKING, FINANCIAL SERVICES, AND INSURANCE: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 29 HEALTHCARE AND LIFE SCIENCES: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 30 RETAIL AND ECOMMERCE: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 31 TELECOMMUNICATIONS AND IT: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 32 GOVERNMENT AND DEFENSE: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 33 MEDIA AND ENTERTAINMENT: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 34 MANUFACTURING: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 35 OTHERS: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 36 DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 37 NORTH AMERICA: DATA MASKING MARKET SIZE, BY DATA MASKING TYPE, 2015–2022 (USD MILLION)
TABLE 38 NORTH AMERICA: DATA MASKING MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
TABLE 39 NORTH AMERICA: DATA MASKING MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
TABLE 40 NORTH AMERICA: DATA MASKING MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
TABLE 41 NORTH AMERICA: DATA MASKING MARKET SIZE, BY DEPLOYMENT TYPE, 2015–2022 (USD MILLION)
TABLE 42 NORTH AMERICA: DATA MASKING MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
TABLE 43 NORTH AMERICA: DATA MASKING MARKET SIZE, BY VERTICAL, 2015–2022 (USD MILLION)
TABLE 44 EUROPE: DATA MASKING MARKET SIZE, BY DATA MASKING TYPE, 2015–2022 (USD MILLION)
TABLE 45 EUROPE: DATA MASKING MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
TABLE 46 EUROPE: DATA MASKING MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
TABLE 47 EUROPE: DATA MASKING MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
TABLE 48 EUROPE: DATA MASKING MARKET SIZE, BY DEPLOYMENT TYPE, 2015–2022 (USD MILLION)
TABLE 49 EUROPE: DATA MASKING MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
TABLE 50 EUROPE: DATA MASKING MARKET SIZE, BY VERTICAL, 2015–2022 (USD MILLION)
TABLE 51 ASIA PACIFIC: DATA MASKING MARKET SIZE, BY DATA MASKING TYPE, 2015–2022 (USD MILLION)
TABLE 52 ASIA PACIFIC: DATA MASKING MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
TABLE 53 ASIA PACIFIC: DATA MASKING MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
TABLE 54 ASIA PACIFIC: DATA MASKING MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
TABLE 55 ASIA PACIFIC: DATA MASKING MARKET SIZE, BY DEPLOYMENT TYPE, 2015–2022 (USD MILLION)
TABLE 56 ASIA PACIFIC: DATA MASKING MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
TABLE 57 ASIA PACIFIC: DATA MASKING MARKET SIZE, BY VERTICAL, 2015–2022 (USD MILLION)
TABLE 58 LATIN AMERICA: DATA MASKING MARKET SIZE, BY DATA MASKING TYPE, 2015–2022 (USD MILLION)
TABLE 59 LATIN AMERICA: DATA MASKING MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
TABLE 60 LATIN AMERICA: DATA MASKING MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
TABLE 61 LATIN AMERICA: DATA MASKING MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
TABLE 62 LATIN AMERICA: DATA MASKING MARKET SIZE, BY DEPLOYMENT TYPE, 2015–2022 (USD MILLION)
TABLE 63 LATIN AMERICA: DATA MASKING MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
TABLE 64 LATIN AMERICA: DATA MASKING MARKET SIZE, BY VERTICAL, 2015–2022 (USD MILLION)
TABLE 65 MIDDLE EAST AND AFRICA: DATA MASKING MARKET SIZE, BY DATA MASKING TYPE, 2015–2022 (USD MILLION)
TABLE 66 MIDDLE EAST AND AFRICA: DATA MASKING MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
TABLE 67 MIDDLE EAST AND AFRICA: DATA MASKING MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
TABLE 68 MIDDLE EAST AND AFRICA: DATA MASKING MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
TABLE 69 MIDDLE EAST AND AFRICA: DATA MASKING MARKET SIZE, BY DEPLOYMENT TYPE, 2015–2022 (USD MILLION)
TABLE 70 MIDDLE EAST AND AFRICA: DATA MASKING MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
TABLE 71 MIDDLE EAST AND AFRICA: DATA MASKING MARKET SIZE, BY VERTICAL, 2015–2022 (USD MILLION)
TABLE 72 PROMINENT PLAYERS IN THE DATA MASKING MARKET
TABLE 73 NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS, 2016–2017
TABLE 74 PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS, 2015–2017
TABLE 75 MERGERS AND ACQUISITIONS, 2015–2017
TABLE 76 BUSINESS EXPANSIONS, 2017
TABLE 1 DATA MASKING MARKET SIZE AND GROWTH RATE, 2015–2022 (USD MILLION, Y-O-Y %)
TABLE 2 DATA MASKING MARKET SIZE, BY DATA MASKING TYPE, 2015–2022 (USD MILLION)
TABLE 3 STATIC: DATA MASKING MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
TABLE 4 DYNAMIC: DATA MASKING MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
TABLE 5 DATA MASKING MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
TABLE 6 FINANCE: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 7 OPERATIONS: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 8 MARKETING AND SALES: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 9 HUMAN RESOURCES: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 10 LEGAL: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 11 OTHERS: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 12 DATA MASKING MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
TABLE 13 SOFTWARE: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 14 SERVICES: DATA MASKING MARKET SIZE, BY TYPE, 2015–2022 (USD MILLION)
TABLE 15 SERVICES: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 16 PROFESSIONAL SERVICES MARKET SIZE, BY TYPE, 2015–2022 (USD MILLION)
TABLE 17 PROFESSIONAL SERVICES MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 18 CONSULTING SERVICES MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 19 SUPPORT AND MAINTENANCE SERVICES MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 20 MANAGED SERVICES: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 21 DATA MASKING MARKET SIZE, BY DEPLOYMENT TYPE, 2015–2022 (USD MILLION)
TABLE 22 ON-PREMISES: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 23 CLOUD: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 24 DATA MASKING MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
TABLE 25 LARGE ENTERPRISES: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 26 SMALL AND MEDIUM-SIZED ENTERPRISES: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 27 DATA MASKING MARKET SIZE, BY VERTICAL, 2015–2022 (USD MILLION)
TABLE 28 BANKING, FINANCIAL SERVICES, AND INSURANCE: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 29 HEALTHCARE AND LIFE SCIENCES: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 30 RETAIL AND ECOMMERCE: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 31 TELECOMMUNICATIONS AND IT: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 32 GOVERNMENT AND DEFENSE: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 33 MEDIA AND ENTERTAINMENT: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 34 MANUFACTURING: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 35 OTHERS: DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 36 DATA MASKING MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
TABLE 37 NORTH AMERICA: DATA MASKING MARKET SIZE, BY DATA MASKING TYPE, 2015–2022 (USD MILLION)
TABLE 38 NORTH AMERICA: DATA MASKING MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
TABLE 39 NORTH AMERICA: DATA MASKING MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
TABLE 40 NORTH AMERICA: DATA MASKING MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
TABLE 41 NORTH AMERICA: DATA MASKING MARKET SIZE, BY DEPLOYMENT TYPE, 2015–2022 (USD MILLION)
TABLE 42 NORTH AMERICA: DATA MASKING MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
TABLE 43 NORTH AMERICA: DATA MASKING MARKET SIZE, BY VERTICAL, 2015–2022 (USD MILLION)
TABLE 44 EUROPE: DATA MASKING MARKET SIZE, BY DATA MASKING TYPE, 2015–2022 (USD MILLION)
TABLE 45 EUROPE: DATA MASKING MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
TABLE 46 EUROPE: DATA MASKING MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
TABLE 47 EUROPE: DATA MASKING MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
TABLE 48 EUROPE: DATA MASKING MARKET SIZE, BY DEPLOYMENT TYPE, 2015–2022 (USD MILLION)
TABLE 49 EUROPE: DATA MASKING MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
TABLE 50 EUROPE: DATA MASKING MARKET SIZE, BY VERTICAL, 2015–2022 (USD MILLION)
TABLE 51 ASIA PACIFIC: DATA MASKING MARKET SIZE, BY DATA MASKING TYPE, 2015–2022 (USD MILLION)
TABLE 52 ASIA PACIFIC: DATA MASKING MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
TABLE 53 ASIA PACIFIC: DATA MASKING MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
TABLE 54 ASIA PACIFIC: DATA MASKING MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
TABLE 55 ASIA PACIFIC: DATA MASKING MARKET SIZE, BY DEPLOYMENT TYPE, 2015–2022 (USD MILLION)
TABLE 56 ASIA PACIFIC: DATA MASKING MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
TABLE 57 ASIA PACIFIC: DATA MASKING MARKET SIZE, BY VERTICAL, 2015–2022 (USD MILLION)
TABLE 58 LATIN AMERICA: DATA MASKING MARKET SIZE, BY DATA MASKING TYPE, 2015–2022 (USD MILLION)
TABLE 59 LATIN AMERICA: DATA MASKING MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
TABLE 60 LATIN AMERICA: DATA MASKING MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
TABLE 61 LATIN AMERICA: DATA MASKING MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
TABLE 62 LATIN AMERICA: DATA MASKING MARKET SIZE, BY DEPLOYMENT TYPE, 2015–2022 (USD MILLION)
TABLE 63 LATIN AMERICA: DATA MASKING MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
TABLE 64 LATIN AMERICA: DATA MASKING MARKET SIZE, BY VERTICAL, 2015–2022 (USD MILLION)
TABLE 65 MIDDLE EAST AND AFRICA: DATA MASKING MARKET SIZE, BY DATA MASKING TYPE, 2015–2022 (USD MILLION)
TABLE 66 MIDDLE EAST AND AFRICA: DATA MASKING MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION)
TABLE 67 MIDDLE EAST AND AFRICA: DATA MASKING MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
TABLE 68 MIDDLE EAST AND AFRICA: DATA MASKING MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
TABLE 69 MIDDLE EAST AND AFRICA: DATA MASKING MARKET SIZE, BY DEPLOYMENT TYPE, 2015–2022 (USD MILLION)
TABLE 70 MIDDLE EAST AND AFRICA: DATA MASKING MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION)
TABLE 71 MIDDLE EAST AND AFRICA: DATA MASKING MARKET SIZE, BY VERTICAL, 2015–2022 (USD MILLION)
TABLE 72 PROMINENT PLAYERS IN THE DATA MASKING MARKET
TABLE 73 NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS, 2016–2017
TABLE 74 PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS, 2015–2017
TABLE 75 MERGERS AND ACQUISITIONS, 2015–2017
TABLE 76 BUSINESS EXPANSIONS, 2017
LIST OF FIGURES
FIGURE 1 DATA MASKING MARKET: MARKET SEGMENTATION
FIGURE 2 REGIONAL SCOPE
FIGURE 3 DATA MASKING MARKET: RESEARCH DESIGN
FIGURE 4 DATA TRIANGULATION
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
FIGURE 7 DATA MASKING MARKET: ASSUMPTIONS
FIGURE 8 DATA MASKING MARKET, BY COMPONENT (2017 VS 2022)
FIGURE 9 DATA MASKING MARKET, BY SERVICE 2017
FIGURE 10 DATA MASKING MARKET, BY PROFESSIONAL SERVICE 2017
FIGURE 11 DATA MASKING MARKET, BY DEPLOYMENT TYPE 2017
FIGURE 12 DATA MASKING MARKET, BY MASKING TYPE 2017
FIGURE 13 DATA MASKING MARKET, BY VERTICAL (2017 VS 2022)
FIGURE 14 DATA MASKING MARKET, BY BUSINESS FUNCTION 2017
FIGURE 15 DATA MASKING MARKET, BY ORGANIZATION SIZE 2017
FIGURE 16 THE DATA MASKING MARKET IS EXPECTED TO WITNESS REMARKABLE GROWTH OPPORTUNITIES DUE TO THE INCREASING NEED TO PROTECT THE DATA FROM UNNECESSARY INTERNAL EXPOSURE AND EXTERNAL SERVICE PROVIDERS
FIGURE 17 NORTH AMERICA, AND RETAIL AND ECOMMERCE VERTICAL ARE ESTIMATED TO HAVE THE LARGEST MARKET SHARES IN 2017
FIGURE 18 DATA MASKING MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
FIGURE 19 DYNAMIC DATA MASKING TYPE IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 20 MARKETING AND SALES BUSINESS FUNCTION IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 21 SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 22 MANAGED SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 23 CONSULTING SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 24 CLOUD DEPLOYMENT TYPE IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 25 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 26 BANKING, FINANCIAL SERVICES, AND INSURANCE VERTICAL IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 27 ASIA PACIFIC IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 28 NORTH AMERICA IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
FIGURE 29 NORTH AMERICA: MARKET SNAPSHOT
FIGURE 30 ASIA PACIFIC: MARKET SNAPSHOT
FIGURE 31 KEY DEVELOPMENTS BY LEADING PLAYERS IN THE DATA MASKING MARKET, 2015–2017
FIGURE 32 IBM: COMPANY SNAPSHOT
FIGURE 33 IBM: SWOT ANALYSIS
FIGURE 34 INFORMATICA: SWOT ANALYSIS
FIGURE 35 CA TECHNOLOGIES: COMPANY SNAPSHOT
FIGURE 36 CA TECHNOLOGIES: SWOT ANALYSIS
FIGURE 37 SOLIX: SWOT ANALYSIS
FIGURE 38 IRI: SWOT ANALYSIS
FIGURE 39 MICRO FOCUS: COMPANY SNAPSHOT
FIGURE 40 ORACLE: COMPANY SNAPSHOT
FIGURE 1 DATA MASKING MARKET: MARKET SEGMENTATION
FIGURE 2 REGIONAL SCOPE
FIGURE 3 DATA MASKING MARKET: RESEARCH DESIGN
FIGURE 4 DATA TRIANGULATION
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
FIGURE 7 DATA MASKING MARKET: ASSUMPTIONS
FIGURE 8 DATA MASKING MARKET, BY COMPONENT (2017 VS 2022)
FIGURE 9 DATA MASKING MARKET, BY SERVICE 2017
FIGURE 10 DATA MASKING MARKET, BY PROFESSIONAL SERVICE 2017
FIGURE 11 DATA MASKING MARKET, BY DEPLOYMENT TYPE 2017
FIGURE 12 DATA MASKING MARKET, BY MASKING TYPE 2017
FIGURE 13 DATA MASKING MARKET, BY VERTICAL (2017 VS 2022)
FIGURE 14 DATA MASKING MARKET, BY BUSINESS FUNCTION 2017
FIGURE 15 DATA MASKING MARKET, BY ORGANIZATION SIZE 2017
FIGURE 16 THE DATA MASKING MARKET IS EXPECTED TO WITNESS REMARKABLE GROWTH OPPORTUNITIES DUE TO THE INCREASING NEED TO PROTECT THE DATA FROM UNNECESSARY INTERNAL EXPOSURE AND EXTERNAL SERVICE PROVIDERS
FIGURE 17 NORTH AMERICA, AND RETAIL AND ECOMMERCE VERTICAL ARE ESTIMATED TO HAVE THE LARGEST MARKET SHARES IN 2017
FIGURE 18 DATA MASKING MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
FIGURE 19 DYNAMIC DATA MASKING TYPE IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 20 MARKETING AND SALES BUSINESS FUNCTION IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 21 SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 22 MANAGED SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 23 CONSULTING SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 24 CLOUD DEPLOYMENT TYPE IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 25 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 26 BANKING, FINANCIAL SERVICES, AND INSURANCE VERTICAL IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 27 ASIA PACIFIC IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 28 NORTH AMERICA IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
FIGURE 29 NORTH AMERICA: MARKET SNAPSHOT
FIGURE 30 ASIA PACIFIC: MARKET SNAPSHOT
FIGURE 31 KEY DEVELOPMENTS BY LEADING PLAYERS IN THE DATA MASKING MARKET, 2015–2017
FIGURE 32 IBM: COMPANY SNAPSHOT
FIGURE 33 IBM: SWOT ANALYSIS
FIGURE 34 INFORMATICA: SWOT ANALYSIS
FIGURE 35 CA TECHNOLOGIES: COMPANY SNAPSHOT
FIGURE 36 CA TECHNOLOGIES: SWOT ANALYSIS
FIGURE 37 SOLIX: SWOT ANALYSIS
FIGURE 38 IRI: SWOT ANALYSIS
FIGURE 39 MICRO FOCUS: COMPANY SNAPSHOT
FIGURE 40 ORACLE: COMPANY SNAPSHOT
