Data Quality Tool Market Future Growth, Opportunities, Analysis And Forecast By 2027
Summary:
A new study title “Data
Quality Tool market size, status and forecast 2027” has been featured on
market research future.
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,
2017-2023. 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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