Data Quality Tool Market is expected to reach a USD 1539 Billion by Forecast to 2023
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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