About Data Quality Tools
Data quality tools refer to the wide range of tools required for ensuring quality and reliability of data in various business processes including core business operations, BI, analytics, and decision making. The data quality vendors offer a wide range of functionalities including data profiling, monitoring, parsing, standardization, and data enrichment. These tools are applied on customer data, financial data, and product data to improve the quality of data. Many organizations use data quality tools to avail the benefits of Big Data.
TechNavio's analysts forecast the Global Data Quality Tools market to grow at a CAGR of 17.11 percent over the period 2014-2019.
Covered in this Report
This report covers the present scenario and the growth prospects of the Global Data Quality Tools market for the period 2015-2019. To calculate the market size, the report considers revenue generated from the sales of data quality tools. The report also specifies the revenue generated from software and services. The report also details the revenue generated from the deployment of on-premises and cloud models.
It presents the vendor landscape and a corresponding detailed analysis of the top five vendors in the Global Data Quality Tools market. To calculate vendor share, the report considers revenue generated from software licenses and services. In addition, the report discusses the major drivers that influence the growth of the Global Data Quality Tools market. It also outlines the challenges faced by vendors and the market at large, as well as the key trends emerging in the market.
Key Regions
• Americas
• APAC
• EMEA
Key Vendors
• Experian
• Informatica
• SAP
• SAS Institute
• Trillium Software (Harte Hanks Company)
Other Prominent Vendors
• ActivePrime
• Attaccama
• Business Data Quality
• DataMentors
• Datiris
• DQ Global
• IBM
• Infoglide Software
• Infoshare Systems
• Innovative Systems
• Intelligent Search Technology
• Melissa Data
• Oracle
• Pitney Bowes
• RedPoint
• Talend
• Uniserv
Market Driver
• Increased Demand for Data Quality Functions in Big Data
• For a full, detailed list, view our report
Market Challenge
• Inconsistency in Collection of Data
• For a full, detailed list, view our report
Market Trend
• Increased use of Data Quality Tools for Marketing
• For a full, detailed list, view our report
Key Questions Answered in this Report
• What will the market size be in 2019 and what will the growth rate be?
• What are the key market trends?
• What is driving this market?
• What are the challenges to market growth?
• Who are the key vendors in this market space?
• What are the market opportunities and threats faced by the key vendors?
• What are the strengths and weaknesses of the key vendors?
01. Executive Summary
02. List of Abbreviations
03. Scope of the Report
03.1 Market Overview
03.2 Product Offerings
04. Market Research Methodology
04.1 Market Research Process
04.2 Research Methodology
05. Introduction
06. Market Description
06.1 Data Quality Process in Data Integration Workflow
06.2 Functions of Data Quality Tools
06.3 Data Types for Data Quality Tools
07. Market Landscape
07.1 Market Overview
07.2 Global EDM Market
07.3 Global Data Quality Tools Market
07.4 Global Data Quality Tools Market as Segment of Global EDM Market
07.5 Five Forces Analysis
08. Market Segmentation by Deployment Model
08.1 Segmentation of Global Data Quality Tools Market by Deployment Model 2014
08.2 Global On-premise Data Quality Tools Market
08.3 Global Cloud Data Quality Tools Market
08.4 Difference between Cloud and On-premise Data Quality Tools
09. Market Segmentation by Revenue
09.1 Segmentation of Global Data Quality Tools Market by Revenue 2014
10 Geographical Segmentation
10.1 Segmentation of Global Data Quality Tools Market by Geography 2014
11 Buying Criteria
12 Market Growth Drivers
13 Drivers and their Impact
14 Market Challenges
15 Impact of Drivers and Challenges
16 Market Trends
17 Trends and their Impact
18 Vendor Landscape
18.1 Competitive Scenario
18.2 Market Share Analysis 2014
18.3 Other Prominent Vendors
19 Key Vendor Analysis
19.1 Experian Data Quality (Experian QAS)
19.1.1 Key Facts
19.1.2 Business Overview
19.1.3 Product Segmentation
19.1.4 Key Information
19.1.5 SWOT Analysis
19.2 Informatica Corp.
19.2.1 Key Facts
19.2.2 Business Description
19.2.3 Business Offerings
19.2.4 Revenue Segmentation by Business Offerings
19.2.5 Revenue Comparison of Software and Services 2012 and 2013
19.2.6 Revenue Segmentation by Geography
19.2.7 Business Strategy
19.2.8 Key Developments
19.2.9 SWOT Analysis
19.3 SAP AG
19.3.1 Key Facts
19.3.2 Business Overview
19.3.3 Business Segmentation
19.3.4 Business Segmentation by Revenue 2013
19.3.5 Business Segmentation by Revenue 2012 and 2013
19.3.6 Geographical Segmentation by Revenue 2013
19.3.7 Business Strategy
19.3.8 Key Developments
19.3.9 SWOT Analysis
19.4 SAS Institute Inc.
19.4.1 Key Facts
19.4.2 Business Overview
19.4.3 Revenue Segmentation by Industry 2012
19.4.4 Geographical Segmentation by Revenue 2012
19.4.5 Business Strategy
19.4.6 Recent Developments
19.4.7 SWOT Analysis
19.5 Trillium Software
19.5.1 Key Facts
19.5.2 Business Overview
19.5.3 Key Highlights
19.5.4 SWOT Overview
20 Other Reports in this Series
List of Exhibits:
Exhibit 1: Market Research Methodology
Exhibit 2: Data Quality Process in Data Integration Workflow
Exhibit 3: Channels for Collecting Customer Data
Exhibit 4: Global EDM Market 2014-2019 (US$ billion)
Exhibit 5: Global Data Quality Tools Market 2014-2019 (US$ billion)
Exhibit 6: Global Data Quality Tools Market as Segment of Global EDM Market 2014
Exhibit 7: Global Data Quality Tools Market as Segment of Global EDM Market 2014-2019
Exhibit 8: Segmentation of Global Data Quality Tools Market by Deployment Model 2014
Exhibit 9: Segmentation of Global Data Quality Tools Market by Delivery Model 2014-2019
Exhibit 10: Global On-premise Data Quality Tools Market 2014-2019 (US$ billion)
Exhibit 11: Global Cloud Data Quality Tools Market 2014-2019 (US$ billion)
Exhibit 12: Difference between Cloud and On-premise Data Quality Tools
Exhibit 13: Segmentation of Global Data Quality Tools Market by Revenue 2014
Exhibit 14: Segmentation of Global Data Quality Tools Market by Revenue 2014-2019
Exhibit 15: Segmentation of Global Data Quality Tools Market by Revenue 2014-2019 (US$ billion)
Exhibit 16: Segmentation of Global Data Quality Tools Market by Geography 2014
Exhibit 17: Segmentation of Global Data Quality Tools Market by Geography 2014-2019 (US$ billion)
Exhibit 18: Segmentation of Global Data Quality Tools Market by Geography 2014-2019
Exhibit 19: Segmentation of Global Data Quality Tools Market by Vendor 2014
Exhibit 20: Experian Data Quality: Product Segmentation
Exhibit 21: Business Offerings of Informatica Corp.
Exhibit 22: Revenue Segmentation of Informatica Corp. 2013
Exhibit 23: Revenue Comparison of Software and Services 2012 and 2013 (US$ million)
Exhibit 24: Revenue Segmentation of Informatica Corp. by Geography 2013
Exhibit 25: SAP: Business Segmentation
Exhibit 26: SAP: Business Segmentation by Revenue 2013
Exhibit 27: SAP: Business Segmentation by Revenue 2012 and 2013 (US$ million)
Exhibit 28: SAP: Geographical Segmentation by Revenue 2013
Exhibit 29: SAS Institute: Revenue Segmentation by Industry 2012
Exhibit 30: SAS Institute: Geographical Segmentation by Revenue 2012
