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Data Quality Tools Market by Data Type (Financial Data, Supplier Data, Customer Data, and Product Data), by Components (Software and Services) for Verticals (Banking, Financial Services, and Insurance (BFSI), Telecommunications and IT, Retail and Ecommerce, Healthcare and Life Sciences, Manufacturing, and Government) - Global Industry Analysis, Size, Share, Growth, Trends and forecast 2016 – 2022

Published Date: 21-Nov-2017 Category: Technology & Media Report Format : PDF Pages: 110 Report Code: ZMR-2501 Status : Published

Global data quality tools market is expected to reach USD 1,283.83 Million by 2022, growing at a CAGR of 16.8% between 2017 and 2022.

Description

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 to 2022 based on revenue (USD Million). 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. Additionally, the report includes the study of opportunities available in the data quality Tools market on a global level.

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. To understand the competitive landscape in the market, an analysis of Porter’s five forces model for the data quality tools market has also been included. The study encompasses a market attractiveness analysis, wherein type segments are benchmarked 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. The regional segmentation includes the current and forecast demand for North America, Europe, Asia Pacific, Latin America and the Middle East and Africa with its further bifurcation into major countries including U.S., France, UK, Germany, China, India, Japan, and Brazil.

Key players profiled in this market include Information Builders, Microsoft Corporation, Pitney Bowes Inc., Syncsort, International Business Machines Corporation, Informatica, Oracle Corporation, SAP SE, SAS Institute Inc., Talend, Experian PLC.

Data quality tools market segmented into;

Global Data Quality Tools Market: Data Type Segment Analysis

  • Financial Data
  • Supplier Data
  • Customer Data
  • Product Data

Global Data Quality Tools Market: Component Segment Analysis

  • Software
  • Services

Global Data Quality Tools Market: Vertical Segment Analysis

  • Banking, Financial Services, and Insurance (BFSI)
  • Telecommunications and IT
  • Retail and E-commerce
  • Healthcare and Life Sciences
  • Manufacturing
  • Government

Global Data Quality Tools Market: Region Segment Analysis

  • North America
    • U.S.
  • Europe
    • UK
    • France
    • Germany
  • Asia Pacific
    • China
    • Japan
    • India
  • Latin America
    • Brazil
  • Middle East and Africa

Table Of Content

  • Chapter 1. Introduction
    • 1.1. Report Description and Scope
    • 1.2. Research Scope
    • 1.3. Research Methodology
      • 1.3.1. Market Research Process
      • 1.3.2. Market Research Methodology
  •  
  • Chapter 2. Executive Summary
    • 2.1. Global Data Quality Tools Market, 2014 – 2022 (USD Million)
    • 2.2. Global Data Quality Tools Market : Snapshot
  •  
  • Chapter 3. Data Quality Tools – Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Global Data Quality Tools Market Drivers: Impact Analysis
      • 3.2.2. Growing Importance of Departmental Data in Organizations Business Strategies
      • 3.2.3. Need for Improving Bottom-Line Performance through Better Customer Engagement
    • 3.3. Market Restraints
      • 3.3.1. Global Data Quality Tools Restraints: Impact Analysis
      • 3.3.2. Lack of Awareness of Data Quality Tools Among The Organizations
    • 3.4. Opportunities
      • 3.4.1. Rise in Artificial Intelligence in Data Quality Tools Software
    • 3.5. Porter’s Five forces Analysis
      • 3.5.1. Bargaining Power of Suppliers
      • 3.5.2. Bargaining Power of Buyers
      • 3.5.3. Threat from New Entrants
      • 3.5.4. Threat from New Substitutes
      • 3.5.5. Degree of Competition                
    • 3.6. Market Attractiveness Analysis
      • 3.6.1. Market Attractiveness Analysis, by Data Type Segment
      • 3.6.2. Market Attractiveness Analysis, by Component Segment
      • 3.6.3. Market Attractiveness Analysis, by Vertical Segment
      • 3.6.4. Market Attractiveness Analysis, by Regional Segment
  •  
  • Chapter 4. Global Data Quality Tools Market – Competitive Landscape
    • 4.1. Company Market Share Analysis  (Subject to Data Availability)
      • 4.1.1. Global Data Quality Tools Market: Company Market Share, 2016
    • 4.2. Strategic Development
      • 4.2.1. Acquisitions & Mergers
      • 4.2.2. New Product Launch
      • 4.2.3. Agreements, Partnerships, Collaborations and Joint Ventures
      • 4.2.4. Research and Development, Product and Regional Expansion
  •  
  • Chapter 5. Global Data Quality Tools Market – Data Type Segment Analysis
    • 5.1. Global Data Quality Tools  Market: Data Type Overview
      • 5.1.1. Global Data Quality Tools Market Revenue Share, by Data Type, 2016 and 2022
    • 5.2. Financial Data
      • 5.2.1. Data Quality Tools Market by Financial Data, 2014-2022 (USD Million)
    • 5.3. Supplier Data
      • 5.3.1. Data Quality Tools  Market by Supplier Data, 2014-2022 (USD Million)
    • 5.4. Customer Data
      • 5.4.1. Data Quality Tools  Market by Customer Data, 2014-2022 (USD Million)
    • 5.5. Product Data
      • 5.5.1. Data Quality Tools Market by Product Data, 2014-2022 (USD Million)
  •  
  • Chapter 6. Global Data Quality Tools Market – Component Segment Analysis
    • 6.1. Global Data Quality Tools  Market: Component Overview
      • 6.1.1. Global Data Quality Tools Market Revenue Share, by Component, 2016 and 2022
    • 6.2. Software
      • 6.2.1. Data Quality Tools Market by Software, 2014-2022 (USD Million)
    • 6.3. Services
      • 6.3.1. Data Quality Tools  Market by Services, 2014-2022 (USD Million)
  • Chapter 7. Global Data Quality Tools Market – Vertical Segment Analysis
    • 7.1. Global Data Quality Tools Market: Vertical Overview
      • 7.1.1. Global Data Quality Tools Market Revenue Share, by Vertical, 2016 and 2022
    • 7.2. Banking, Financial Services, and Insurance (BFSI)
      • 7.2.1. Global Data Quality Tools Market for Banking, Financial Services, and Insurance (BFSI), 2014-2022 (USD Million)
    • 7.3. Telecommunications and IT
      • 7.3.1. Global Data Quality Tools Market for Telecommunications and IT, 2014-2022 (USD Million)
    • 7.4. Retail and Ecommerce
      • 7.4.1. Global Data Quality Tools Market for Retail and Ecommerce, 2014-2022 (USD Million)
    • 7.5. Healthcare and Life Sciences
      • 7.5.1. Global Data Quality Tools Market for Healthcare and Life Sciences, 2014-2022 (USD Million)
    • 7.6. Manufacturing
      • 7.6.1. Global Data Quality Tools Market for Manufacturing, 2014-2022 (USD Million)
    • 7.7. Government
      • 7.7.1. Global Data Quality Tools Market for Government, 2014-2022 (USD Million)
  •  
  • Chapter 8. Global Data Quality Tools Market – Regional Segment Analysis
    • 8.1. Global Data Quality Tools Market: Regional Overview
      • 8.1.1. Global Data Quality Tools Market Revenue Share, by Region, 2016 and 2022
    • 8.2. North America
      • 8.2.1. North America Data Quality Tools Market Revenue, by Data Type, 2014-2022 (USD Million)
      • 8.2.2. North America Data Quality Tools  Market Revenue, by Component, 2014-2022 (USD Million)
      • 8.2.3. North America Data Quality Tools  Market Revenue, by Vertical, 2014-2022 (USD Million)
    • 8.3. U.S.
      • 8.3.1. U.S. Data Quality Tools Market Revenue, by Data Type, 2014-2022 (USD Million)
      • 8.3.2. U.S. Data Quality Tools  Market Revenue, by Component, 2014-2022 (USD Million)
      • 8.3.3. U.S. Data Quality Tools  Market Revenue, by Vertical, 2014-2022 (USD Million)
    • 8.4. Europe
      • 8.4.1. Europe Data Quality Tools Market Revenue, by Data Type, 2014-2022 (USD Million)
      • 8.4.2. Europe Data Quality Tools  Market Revenue, by Component, 2014-2022 (USD Million)
      • 8.4.3. Europe Data Quality Tools  Market Revenue, by Vertical, 2014-2022 (USD Million)
    • 8.5. France
      • 8.5.1. France Data Quality Tools Market Revenue, by Data Type, 2014-2022 (USD Million)
      • 8.5.2. France Data Quality Tools  Market Revenue, by Component, 2014-2022 (USD Million)
      • 8.5.3. France Data Quality Tools  Market Revenue, by Vertical, 2014-2022 (USD Million)
    • 8.6. U.K.
      • 8.6.1. U.K. Data Quality Tools Market Revenue, by Data Type, 2014-2022 (USD Million)
      • 8.6.2. U.K. Data Quality Tools  Market Revenue, by Component, 2014-2022 (USD Million)
      • 8.6.3. U.K. Data Quality Tools  Market Revenue, by Vertical, 2014-2022 (USD Million)
    • 8.7. Germany
      • 8.7.1. Germany Data Quality Tools Market Revenue, by Data Type, 2014-2022 (USD Million)
      • 8.7.2. Germany Data Quality Tools  Market Revenue, by Component, 2014-2022 (USD Million)
      • 8.7.3. Germany Data Quality Tools  Market Revenue, by Vertical, 2014-2022 (USD Million)
    • 8.8. Asia Pacific
      • 8.8.1. Asia Pacific Data Quality Tools Market Revenue, by Data Type, 2014-2022 (USD Million)
      • 8.8.2. Asia Pacific Data Quality Tools  Market Revenue, by Component, 2014-2022 (USD Million)
      • 8.8.3. Asia Pacific Data Quality Tools  Market Revenue, by Vertical, 2014-2022 (USD Million)
    • 8.9. India
      • 8.9.1. India Data Quality Tools Market Revenue, by Data Type, 2014-2022 (USD Million)
      • 8.9.2. India Data Quality Tools  Market Revenue, by Component, 2014-2022 (USD Million)
      • 8.9.3. India Data Quality Tools  Market Revenue, by Vertical, 2014-2022 (USD Million)
    • 8.10. China
      • 8.10.1. China Data Quality Tools Market Revenue, by Data Type, 2014-2022 (USD Million)
      • 8.10.2. China Data Quality Tools  Market Revenue, by Component, 2014-2022 (USD Million)
      • 8.10.3. China Data Quality Tools  Market Revenue, by Vertical, 2014-2022 (USD Million)
    • 8.11. Japan
      • 8.11.1. Japan Data Quality Tools Market Revenue, by Data Type, 2014-2022 (USD Million)
      • 8.11.2. Japan Data Quality Tools  Market Revenue, by Component, 2014-2022 (USD Million)
      • 8.11.3. Japan Data Quality Tools  Market Revenue, by Vertical, 2014-2022 (USD Million)
    • 8.12. Latin America
      • 8.12.1. Latin America Data Quality Tools Market Revenue, by Data Type, 2014-2022 (USD Million)
      • 8.12.2. Latin America Data Quality Tools  Market Revenue, by Component, 2014-2022 (USD Million)
      • 8.12.3. Latin America Data Quality Tools  Market Revenue, by Vertical, 2014-2022 (USD Million)
    • 8.13. Brazil
      • 8.13.1. Brazil Data Quality Tools Market Revenue, by Data Type, 2014-2022 (USD Million)
      • 8.13.2. Brazil Data Quality Tools  Market Revenue, by Component, 2014-2022 (USD Million)
      • 8.13.3. Brazil Data Quality Tools  Market Revenue, by Vertical, 2014-2022 (USD Million)
    • 8.14. Middle East and Africa
      • 8.14.1. Middle East and Africa Data Quality Tools Market Revenue, by Data Type, 2014-2022 (USD Million)
      • 8.14.2. Middle East and Africa Data Quality Tools  Market Revenue, by Component, 2014-2022 (USD Million)
      • 8.14.3. Middle East and Africa Data Quality Tools  Market Revenue, by Vertical, 2014-2022 (USD Million)
  • Chapter 9. Company Profile
    • 9.1. Information Builders
      • 9.1.1. Overview
      • 9.1.2. Financials
      • 9.1.3. Product Portfolio
      • 9.1.4. Strategy
      • 9.1.5. Recent Development
      • 9.1.6. SWOT Analysis
    • 9.2. Microsoft Corporation
      • 9.2.1. Overview
      • 9.2.2. Financials
      • 9.2.3. Product Portfolio
      • 9.2.4. Strategy
      • 9.2.5. Recent Development
      • 9.2.6. SWOT Analysis
    • 9.3. Pitney Bowes Inc.
      • 9.3.1. Overview
      • 9.3.2. Financials
      • 9.3.3. Product Portfolio
      • 9.3.4. Strategy
      • 9.3.5. Recent Development
      • 9.3.6. SWOT Analysis
    • 9.4. Syncsort
      • 9.4.1. Overview
      • 9.4.2. Financials
      • 9.4.3. Product Portfolio
      • 9.4.4. Business Strategy
      • 9.4.5. Recent Development
      • 9.4.6. SWOT Analysis
    • 9.5. International Business Machines Corporation
      • 9.5.1. Overview
      • 9.5.2. Financial
      • 9.5.3. Product Portfolio
      • 9.5.4. Business Strategy
      • 9.5.5. Recent Development
      • 9.5.6. SWOT Analysis
    • 9.6. Informatica
      • 9.6.1. Overview
      • 9.6.2. Financial
      • 9.6.3. Product Portfolio
      • 9.6.4. Business Strategy
      • 9.6.5. Recent Development
      • 9.6.6. SWOT Analysis
    • 9.7. Oracle Corporation
      • 9.7.1. Overview
      • 9.7.2. Financial
      • 9.7.3. Product Portfolio
      • 9.7.4. Business Strategy
      • 9.7.5. Recent Development
      • 9.7.6.  SWOT Analysis
    • 9.8. SAP SE
      • 9.8.1. Overview
      • 9.8.2. Financial
      • 9.8.3. Product Portfolio
      • 9.8.4. Business Strategy
      • 9.8.5. Recent Development
      • 9.8.6.  SWOT Analysis
    • 9.9. SAS Institute Inc.
      • 9.9.1. Overview
      • 9.9.2. Financial
      • 9.9.3. Product Portfolio
      • 9.9.4. Business Strategy
      • 9.9.5. Recent Development
      • 9.9.6.  SWOT Analysis
    • 9.10. Talend
      • 9.10.1. Overview
      • 9.10.2. Financial
      • 9.10.3. Product Portfolio
      • 9.10.4. Business Strategy
      • 9.10.5. Recent Development
      • 9.10.6.  SWOT Analysis

Methodology

This report is based on in-depth qualitative and quantitative analyses of the global Data Quality Tools market. Zion Research has collected and analyzed key data belong to the global Data Quality Tools market using a variety of methods. Quantitative analysis has been done following various projection and sampling techniques.

The qualitative analysis involved primary interviews, surveys, and vendor briefings. The data gathered as a result of these processes were validated through experts' opinions. The market dynamics have been determined after conducting a detailed study of the micro and macroeconomic indicators of the market.

Various parameters have been taken into account, while estimating market size. The revenue generated by the leading industry participants in from the sales of Data Quality Tools across the world has been calculated through primary and secondary research.

Zion Research employs the combination of secondary research followed by extensive primary research. Under secondary research, we refer to prominent paid as well as open access data sources including product literature, company annual reports, government publications, press releases, industry association’s magazines and other relevant sources for data collection. Other prominent secondary sources include STATISTA, trade journals, trade associations, statistical data from government websites, etc. 

For this study, Zion Research has conducted all-encompassing primary research with key industry participants to collect first had data. Moreover, in-depth interviews with key opinion leaders also assisted in validation of findings from secondary research and to understand key trends in the Data Quality Tools industry. Primary research makes up the major source of data collection and validation.   

Primary Research

We conduct primary interviews with industry participants and commentators on an ongoing basis to validate data and analysis. A typical research interview fulfills the following functions:

  • Provides firsthand information on market size, market trends, growth trends, competitive landscape, outlook, etc.
  • Helps in validating and strengthening the secondary research findings
  • Further, develops the analysis team’s expertise and market understanding
  • Primary research involves e-mail interactions, telephonic interviews as well as face-to-face interviews for each market, category, segment and sub-segment across geographies

Participants who typically participate in such a process include, but are not limited to:

  • Industry participants: CEOs, VPs, marketing/product managers, market intelligence managers and national sales managers
  • Purchasing managers, technical personnel, distributors and resellers
  • Outside experts: Investment bankers, valuation experts and research analysts specializing in specific markets

Key opinion leaders specializing in different areas corresponding to different industry verticals

Secondary Research

Secondary research sources that are typically referred to include, but are not limited to:

  • Company websites, annual reports, financial reports, broker reports, investor presentations and SEC filings
  • IDC and other relevant magazines
  • Internal and external proprietary databases, and relevant patent and regulatory databases
  • National government documents, statistical databases and market reports

News articles, press releases and webcasts specific to companies operating in the market

Following a comprehensive secondary and primary research and insights thus gathered, analysts at Zion Research have provided an in-depth analysis of various aspects of the Data Quality Tools market.

Models

Where no hard data is available, we use models and estimates to produce comprehensive data sets. A rigorous methodology is adopted, wherein the available hard data is cross-referenced with the following data types to produce estimates:

  • Demographic data: Population split by segments
  • Macroeconomic indicators: GDP, PPP, Per Capita Income, etc.
  • Industry indicators: Expenditure, technology stage and infrastructure, sector growth and facilities
  • Data is then cross-checked by an expert panel.

Free Analysis

Many business analysts recognize the importance of high-quality data for the success of their business. Hence, there is a growing trend in integrating data quality management within their particular organizations. It is not easy to do it manually with such an amount of data available these days. Data quality tools are used to deal with various aspects of the data quality predicament such as disintegration of text fields into component parts and formatting of values into reliable layouts based on industry standards; alteration of data values to meet domain limitations, integrity constraints or other business rules that define sufficient data quality for the organization; identification, and linking related entries across sets of data; and exploitation of controls to ensure ongoing conformance of data to business rules that define data quality for the organization.

Analyzing and disintegrating huge complex database that arrives in enterprises on daily basis is not an easy task for the analyst. Hence, many organizations are taking help of third party service providers to solve the data related problems. And this factor is primarily driving the growth of data quality tools market. To make business successful one has to gather the business related data from internal as well as external sources. Internal data is can be found in a formatted manner but external data is not well organized. Thus, data quality tools play vital role to organize and analyze the external data. Growing importance of departmental data in organizations business strategies further anticipated the growth of this market globally. Furthermore, need for improving bottom-line performance through better customer engagement drives the growth of quality data tool market. Rise in artificial intelligence in data quality tools software is expected to fuel the data quality tools market globally. However, lack of awareness of data quality tools among the organizations, especially those organizations which are new in the market and targeting to achieve market share, restrain the growth of global data quality tools market.

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Data quality tools market is segmented based on data type, component, vertical, and region. Data type segment includes in this market are financial data, supplier data, customer data, and product data. Customer data segment is expected to have faster growth in given forecasted period due to an increased focus on customer engagement by enterprises. The component segment includes software and services. Many data quality tool vendors have developed technologically advanced and efficient software to minimize the data complexity. Due to this, software segment has moderate growth in giving forecasted period. The vertical segment includes banking, financial services, and insurance (BFSI), telecommunications and IT, retail and ecommerce, healthcare and life sciences, manufacturing, and government. Retail and ecommerce industry has moderate growth in this market due to huge customer data available. The regional segmentation includes the current and forecast demand for North America, Europe, Asia Pacific, Latin America and the Middle East and Africa with its further bifurcation into major countries including U.S., France, UK, Germany, China, India, Japan, and Brazil.

Key players profiled in this market include Information Builders, Microsoft Corporation, Pitney Bowes Inc., Syncsort, International Business Machines Corporation, Informatica, Oracle Corporation, SAP SE, SAS Institute Inc., Talend, Experian PLC.

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