Market Scenario:
Data quality tools can be explained as a type of tools which are used to address various aspects of the data quality. The tool offers various features such as decomposition of various type of text fields into component parts, formatting of values of these texts into consistent layouts, modification of data values and identification & linking of data entries among others.

The factors contributing to the growth of the Data Quality Tool Market are the growing volume of business data, increasing usage of external data sources, increasing regulatory pressure and the need for improvement of performance of data. However, factors such as lack of awareness and security issues are hampering the growth of the data quality tool market.

Furthermore, factors such as rise in artificial intelligence for data quality, increasing demand for data quality functions in big data and the growing speed of data accumulations are expected to boost the growth of the data quality tool market over the forecast period, 2020-2027. Various organizations are investing in data quality tools for better understanding of customer needs, improving the quality of service, future predictions and business growth.

Geographically, North America accounted for the largest market share in the global Data Quality Tool Market, whereas Asia-Pacific is expected to grow at a fast pace over the forecast period, 2017-2023.

Major Key Players
SAP SE (Germany)
Microsoft Corporation (US)
IBM Corporation (US)
Experian Data Quality (US)
SAS Institute Inc. (US)
Informatica Corporation (US)
Pitney Bowes (US)
Information Builder (US)
Oracle Corporation (US)
Tamr (US)
Talend (US)
Syncsort (US)
Trianz (US)

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Regional Analysis:
Regionally, North-America accounted for the largest market share majorly due to unmatched expansion of data in this region, increasing adoption of internet of things, stringent data related regulatory compliances and the presence of large number of vendors.

However, Asia-Pacific region is expected to boost the growth of the data quality tool market majorly due to increasing demand for digitization and increasing awareness about new technological solutions.

Study Objectives of Global Data Quality Tool Market:
To provide detailed analysis of the market structure along with forecast of the various segments and sub-segments of the global data quality tool market.
To provide insights about factors affecting the market growth.
To analyze the global data quality tool market based porter’s five force analysis etc.
To provide historical and forecast revenue of the market segments and sub-segments with respect to four main geographies and their countries- North America, Europe, Asia, and Rest of the World (ROW).
To provide country level analysis of the market with respect to the current market size and future prospective.
To provide country level analysis of the market for segment by component, data type, deployment, organization size, vertical and region.
To provide strategic profiling of key players in the market, comprehensively analyzing their core competencies, and drawing a competitive landscape for the market.
To track and analyze competitive developments such as joint ventures, strategic alliances, mergers and acquisitions, new product developments, and research and developments in the global data quality tool market.

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Segments:
For the purpose of this study, Market Research Future has segmented the market of data quality tool into data type, component, deployment, organization size, vertical and region.

Component:
Solutions
Services

Data Type:
Product Data
Consumer Data
Financial Data
Supplier Data
Others

Deployment:
On- Demand
On-premises

Organization Size:
Small
Medium
Large

Vertical:
BFSI
Media and Entertainment
Retail
Manufacturing
Healthcare
Government
Energy
Education
Others

Region:
North-America
Europe
Asia-Pacific
RoW

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Intended Audience:
Manufacturers
Distributors
Research firms
Consultancy firms
Software Developers
Vendors
Semiconductor Manufacturers
End-user sectors
Technology Investors

Table of Contents
1 Market Introduction
1.1 Introduction
1.2 Scope of Study
1.2.1 Research objective
1.2.2 Assumptions
1.2.3 Limitations
1.3 Market Structure
2 Research Methodology
2.1 Research Network Solution
2.2 Primary Research
2.3 Secondary Research
2.4 Forecast Model
2.4.1 Market Data Collection, Analysis & Forecast
2.4.2 Market Size Estimation
Continued…

List of Tables
Table 1 Global Data Quality Tool Market, By Component
Table 2 Global Data Quality Tool Market, By Deployment
Table 3 Global Data Quality Tool Market, By Data Type
Continued…

List of Figures
Figure 1 Research Organization Size
Figure 2 Global Data Quality Tool Market, By Component (%)
Figure 3 Global Data Quality Tool Market, By Deployment (%)
Continued…

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