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TMCNet:  Data Quality Tools Market Analysis & Forecast 2016-2022 -

[May 16, 2018]

Data Quality Tools Market Analysis & Forecast 2016-2022 -

The "Data Quality Tools Market by Data Type , by Components for Verticals , Telecommunications and IT, Retail and Ecommerce, Healthcare and Life Sciences, Manufacturing, and Government) - Global Forecast 2016 - 2022" report has been added to's offering.

The report covers forecast and analysis for the data quality tools market on a global and regional level. The study provides historic data for 2014, 2015, and 2016 along with a forecast from 2017-2022 based on revenue. The study includes drivers and restraints for the data quality tools market along with the impact they have on the demand over the forecast period.

In order to give the users of this report a comprehensive view of the data quality tools market, we have included a detailed competitive scenario, and data quality tools type portfolio of key vendors. The study encompasses a market attractiveness analysis, wherein type segments are bnchmarked based on their market size, growth rate, and general attractiveness.

Data quality tools market is segmented based on data type, component, vertical, and region. Data type segment under this study includes financial data, supplier data, customer data, and product data. The component segment includes software and services. A vertical segment includes banking, financial services, and insurance (BFSI), telecommunications and IT, retail and e-commerce, healthcare and life sciences, manufacturing, and government.

Key players

  • Information Builders (News - Alert)
  • Microsoft Corporation
  • Pitney Bowes Inc.
  • Syncsort
  • International Business Machines Corporation
  • Informatica
  • Oracle Corporation
  • SAP SE
  • SAS (News - Alert) Institute Inc.
  • Talend
  • Experian PLC

Key Topics Covered:

1. Introduction

2. Executive Summary

3. Data Quality Tools Market Dynamics

4. Global Data Quality Tools Market Competitive Landscape

5. Global Data Quality Tools Market Data Type Segment Analysis

6. Global Data Quality Tools Market Component Segment Analysis

7. Global Data Quality Tools Market Vertical Segment Analysis

8. Global Data Quality Tools Market Regional Segment Analysis

9. Company Profile

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