Global Data Quality Tools Market

Market Overview:
The Global Data Quality Tools Market was valued at USD 526.21 million in 2016 and is projected to reach USD 2314.5 million by 2025, growing at a CAGR of 17.89% from 2017 to 2025.

Enterprises are taking in more data from more sources and using it in more ways than ever before which needs a new class of data quality analysis tools in order to achieve the highest level of data quality excellence. Data quality tool helps the enterprise for data profiling, data monitoring, data quality check, data enrichment, data matching, data parsing and standardization, and data cleansing.

Sample Infographics:




Market Dynamics:
1. Market Drivers
1.1 Emerging artificial intelligence for data quality
1.2 Growing usage of external data sources
1.3 Rising volume of business data
1.4 Growing risk to band reputation and regulatory pressure
1.5 Increasing demand to improve performance through better customer engagement
2. Market Restraints
2.1 Complex data structures
2.2 Rising integration affecting data timeliness
2.3 Poor knowledge about data quality

Market Segmentation:
The Global Data Quality Tools Market is segmented on the business function, data type, organization size, component, deployment model, vertical, and region.

1. Business Function:
1.1 Finance
1.2 Marketing, Sales
1.3 Human resources
1.4 Legal

2. Data Type:
2.1 Compliance data
2.2 Customer data
2.3 Supplier data
2.4 Product data
2.5 Financial data

3. Organization Size:
3.1 Large Enterprises
3.2 Small and Medium Organizations

4. By Component:
4.1 Software
4.2 Services
4.2.1 Managed services
4.2.2 Professional services
4.2.2.1 Support and maintenance services
4.2.2.2 Education and training
4.2.2.3 Consulting services

5. By Deployment Mode:
5.1 Cloud-based
5.2 On-premises

6. By Vertical:
6.1 Healthcare
6.2 Government
6.3 IT and Telecom
6.4 Banking, Financial Services, and Insurance (BFSI)
6.5 Energy and Utilities
6.6 Retail and e-commerce
6.7 Manufacturing
6.8 Others

7. By Region:
7.1 North America (U.S., Canada, Mexico)
7.2 Europe (Germany, UK, France, Rest of Europe)
7.3 Asia Pacific (China, India, Japan, Rest of Asia Pacific)
7.4 Latin America (Brazil, Argentina, Rest of Latin America)
7.5 Middle East & Africa

Competitive Landscape:
The major players in the market are as follows:
1. Oracle Corporation
2. SAP SE
3. IBM Corporation
4. Microsoft Corporation
5. Informatica
6. Trianz
7. Pitney Bowes Inc.
8. Tamr
9. Talend
10. Information Builders
11. Syncsort
12. Experian PLC
13. SAS Institute Inc.

These major players have adopted various organic as well as inorganic growth strategies such as mergers & acquisitions, new product launches, expansions, agreements, joint ventures, partnerships, and others to strengthen their position in this market.

RESEARCH METHODOLOGY OF VERIFIED MARKET INTELLIGENCE:
Research study on the Global Data Quality Tools Market was performed in five phases which include Secondary research, Primary research, subject matter expert advice, quality check and final review.
The market data was analyzed and forecasted using market statistical and coherent models. Also market shares and key trends were taken into consideration while making the report. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis.

To know more about the Research Methodology of Verified Market Intelligence and other aspects of the research study, kindly get in touch with our sales team
Table of Content

1 INTRODUCTION OF GLOBAL DATA QUALITY TOOLS MARKET
1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET INTELLIGENCE
3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources

4 GLOBAL DATA QUALITY TOOLS MARKET OUTLOOK
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis
4.5 Regulatory Framework

5 GLOBAL DATA QUALITY TOOLS MARKET , BY BUSINESS FUNCTION
5.1 Overview
5.2 Finance
5.3 Marketing, Sales
5.4 Human resources
5.5 Legal

6 GLOBAL DATA QUALITY TOOLS MARKET , BY DATA TYPE
6.1 Overview
6.2 Compliance data
6.3 Customer data
6.4 Supplier data
6.5 Product data
6.6 Financial data

7 GLOBAL DATA QUALITY TOOLS MARKET , BY ORGANIZATION SIZE
7.1 Overview
7.2 Large Enterprises
7.3 Small and Medium Organizations

8 GLOBAL DATA QUALITY TOOLS MARKET , BY COMPONENT
8.1 Overview
8.2 Software
8.3 Services
8.3.1 Managed services
8.3.2 Professional services
8.3.3 Support and maintenance services
8.3.4 Education and training
8.3.5 Consulting services

9 GLOBAL DATA QUALITY TOOLS MARKET , BY DEPLOYMENT MODE
9.1 Overview
9.2 Cloud-based
9.3 On-premises

10 GLOBAL DATA QUALITY TOOLS MARKET , BY VERTICAL
10.1 Overview
10.2 Healthcare
10.3 Government
10.4 IT and Telecom
10.5 Banking, Financial Services, and Insurance (BFSI)
10.6 Energy and Utilities
10.7 Retail and e-commerce
10.8 Manufacturing
10.9 Others

11 GLOBAL DATA QUALITY TOOLS MARKET , BY GEOGRAPHY
11.1 Overview
11.2 North America Regional Market Estimates and Forecasts, 2012 - 2025
11.2.1 U.S.
11.2.2 Canada
11.2.3 Mexico
11.3 Europe Regional Market Estimates and Forecasts, 2012 - 2025
11.3.1 Germany
11.3.2 U.K.
11.3.3 France
11.3.4 Rest of Europe
11.4 Asia Pacific Regional Market Estimates and Forecasts, 2012 - 2025
11.4.1 China
11.4.2 Japan
11.4.3 India
11.4.4 Rest of Asia Pacific
11.5 Latin America Regional Market Estimates and Forecasts, 2012 - 2025
11.5.1 Brazil
11.5.2 Argentina
11.6 Rest of the World Regional Market Estimates and Forecasts, 2012 â€" 2025

12 GLOBAL DATA QUALITY TOOLS MARKET COMPETITIVE LANDSCAPE
12.1 Overview
12.2 Company Market Share
12.3 Vendor Landscape
12.4 Key Development Strategies

13 COMPANY PROFILES
13.1 Oracle Corporation
13.1.1 Overview
13.1.2 Financial Performance
13.1.3 Product Outlook
13.1.4 Key Developments

13.2 SAP SE
13.2.1 Overview
13.2.2 Financial Performance
13.2.3 Product Outlook
13.2.4 Key Developments

13.3 IBM Corporation
13.3.1 Overview
13.3.2 Financial Performance
13.3.3 Product Outlook
13.3.4 Key Developments

13.4 Microsoft Corporation
13.4.1 Overview
13.4.2 Financial Performance
13.4.3 Product Outlook
13.4.4 Key Developments

13.5 Informatica
13.5.1 Overview
13.5.2 Financial Performance
13.5.3 Product Outlook
13.5.4 Key Developments

13.6 Trianz
13.6.1 Overview
13.6.2 Financial Performance
13.6.3 Product Outlook
13.6.4 Key Developments

13.7 Pitney Bowes Inc.
13.7.1 Overview
13.7.2 Financial Performance
13.7.3 Product Outlook
13.7.4 Key Developments

13.8 Tamr
13.8.1 Overview
13.8.2 Financial Performance
13.8.3 Product Outlook
13.8.4 Key Developments

13.9 Talend
13.9.1 Overview
13.9.2 Financial Performance
13.9.3 Product Outlook
13.9.4 Key Developments

13.10 Information Builders
13.10.1 Overview
13.10.2 Financial Performance
13.10.3 Product Outlook
13.10.4 Key Developments

13.11 Syncsort
13.11.1 Overview
13.11.2 Financial Performance
13.11.3 Product Outlook
13.11.4 Key Developments

13.12 Experian PLC
13.12.1 Overview
13.12.2 Financial Performance
13.12.3 Product Outlook
13.12.4 Key Developments

13.13 SAS Institute Inc.
13.13.1 Overview
13.13.2 Financial Performance
13.13.3 Product Outlook
13.13.4 Key Developments

14 Appendix
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