Data Quality Tools Market - Global Industry Analysis

Data Quality Tools Market By Component (Software, and Services), By Vertical (BFSI, Government, Telecommunications and IT, Retail and E-commerce, Manufacturing, and Healthcare and Life Sciences), By Data Type (Financial Data, Supplier Data, Customer Data, and Healthcare and Life Sciences): Global Industry Perspective, Comprehensive Analysis and Forecast, 2020 – 2028

Published Date: 04-Jun-2021 Category: Technology & Media Report Format : PDF Pages: 150 Report Code: ZMR-2501 Status : Published

The Global Data Quality Tools market accounted for USD 673.2 Million in 2020 and is expected to reach USD 2371.9 Million by 2028, growing at a CAGR of 17.1% from 2021 to 2028.

Description

Market Overview    

The global Data Quality Tools market accounted for USD 673.2 Million in 2020 and is expected to reach USD 2371.9 Million by 2028, growing at a CAGR of 17.1% from 2021 to 2028.     

Data quality aids in cleansing and managing data and makes it accessible across the organization. High-quality data assists strategic systems to incorporate all associated data to deliver a complete vision of the institute and the interrelationships within it. Data quality is a crucial characteristic determining the dependability of decision-making.

The key players are focusing aggressively on innovation, as well as on including advanced technologies in their existing products. Over the coming years, they are also expected to take up partnerships and mergers and acquisitions as their key strategy for business developments.

COVID-19 Impact Analysis:

The impact of the COVID-19 pandemic has been unexpected, extensive and intense. It has interrupted supply chains, moved massive numbers of employees to remote work, different customer behavior vividly and driven unexpected shifts in demand. This means that corporations must unceasingly revive models, bring in novel and contemporary data, and familiarize more quickly to changing events. The spectacular swiftness and scale of the COVID-19 disaster have put marvelous levels of stress on models. However, the world markets are slowly opening to their full potential and theirs a surge in demand of Data Quality Tools. The market would remain bullish in upcoming year.   

Growth Factors

Rise in the volume of business data across myriad firms along with mammoth need for acquiring high data quality in CRM and data integration activities is likely to propel the growth of data quality tools market in the years ahead. Apart from this, the need for enhancing the bottom-line performance by offering better customer engagement is expected to further drive data quality tools market trends. In addition, amplified preference for synchronizing data quality management tools within the organizations is expected to extend the scope of data quality tools business in the years to come. Inception of new technologies such as IoT is likely to propel the demand for data quality tools in the near future. Lack of awareness about data quality tools applications & use and data security concerns resulting in large-scale adoption of cloud –based systems, however, is forecast to obstruct the progression of data quality tools market in the forthcoming years.

Report Scope:

Report Attribute Details
Base Year 2020
Historic Years 2016 - 2020
Forecast Years 2021 - 2028
Segments Covered By Product Type, By Application, and By End Use
Forecast Units Value (USD Billion), and Volume (Units)
Quantitative Units Revenue in USD million/billion and CAGR from 2021 to 2028
Regions Covered North America, Europe, Asia Pacific, Latin America, and Middle East & Africa, and Rest of World
Countries Covered U.S., Canada, Mexico, U.K., Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Argentina, GCC Countries, and South Africa, among others
Number of Companies Covered 10 companies with scope for including additional 15 companies upon request
Report Coverage Market growth drivers, restraints, opportunities, Porter’s five forces analysis, PEST analysis, value chain analysis, regulatory landscape, market attractiveness analysis by segments and region, company market share analysis, and COVID-19 impact analysis.
Customization Scope Avail customized purchase options to meet your exact research needs.

 

Segment Analysis Preview

Data Quality Tools market by Component is segmented into Software and Services. The software segment is anticipated to grow owing to increasing adoption of data tools based on AI and ML in software companies.

On the basis of Data Type the market is segmented into Financial Data, Customer Data, Product Data, and Supplier Data. The Customer Data segmented to grow owing to increasing demand for consumer data in order to increase sales opportunities. On the basis of Vertical the market is bifurcated into BFSI,   Government, Telecommunications and IT, Retail and E-commerce, Healthcare and Life Sciences and Manufacturing. Healthcare and Life Sciences segment will grow as its loaded with data mostly from, clinical, patients claims, financials, pharmacies, and hospital systems.

Regional Analysis Preview

Regionally, North America has been leading the worldwide data quality tools market and is anticipated to continue on the dominant position in the years to come, states the data quality tools market study. Enormous growth witnessed in enterprise information management activities is the main factor behind the dominance of the North America data quality tools market. The high number of market players being headquartered in North America is another significant factor that is supporting this regional data quality tools market.

Key Market Players & Competitive Landscape

The major players operating in the Data Quality Tools market are Information Builders, MICROSOFT CORPORATION, Pitney Bowes Inc., Syncsort, International Business Machines Corporation, Informatica, Oracle Corporation, SAS Institute Inc., Talend, and SAP SE, among Healthcare and Life Sciences.

The global Data Quality Tools market is segmented as follows:   

By Component

  • Software
  • Services

By Vertical

  • BFSI
  • Government
  • Telecommunications and IT
  • Retail and E-commerce
  • Manufacturing 
  • Healthcare and Life Sciences

By Data Type

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

By Region

  • North America
    • The U.S.
    • Canada
  • Europe
    • France
    • The UK
    • Spain
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Middle East & Africa

Table Of Content

  • Chapter No. 1 Introduction
    • 1.1. Report Description
      • 1.1.1. Purpose of the Report
      • 1.1.2. USP & Key Offerings
    • 1.2. Key Benefits for Stakehulders
    • 1.3. Target Audience
    • 1.4. Report Scope
  • Chapter No. 2 Executive Summary
    • 2.1. Key Findings
      • 2.1.1. Top Investment Pockets
        • 2.1.1.1. Market Attractiveness Analysis, By Component
        • 2.1.1.2. Market Attractiveness Analysis, By Vertical
        • 2.1.1.3. Market Attractiveness Analysis, By Data Type
        • 2.1.1.4. Market Attractiveness Analysis, By Region
    • 2.2. Market Snapshot
    • 2.3. Global Data Quality Touls Market, 2016 – 2028 (USD Million)
    • 2.4. Insights from Primary Respondents
  • Chapter No. 3 COVID 19 Impact Analysis
    • 3.1. Impact Assessment of COVID-19 Pandemic, By Region
      • 3.1.1. North America
      • 3.1.2. Europe
      • 3.1.3. Asia Pacific
      • 3.1.4. Latin America
      • 3.1.5. The Middle-East and Africa
    • 3.2. Quarterly Market Revenue and Forecast by Region 2020 & 2021
    • 3.3. Pre COVID-19 Market Revenue, By Region, 2016-2019 (USD Million)
    • 3.4. Post COVID-19 Market Revenue, By Region, 2020-2028 (USD Million)
    • 3.5. Key Strategies Undertaken by Companies to Tackle COVID-19
      • 3.5.1. Company Quarterly Revenue Analysis, 2019 & 2020
    • 3.6. Short Term Dynamics
    • 3.7. Long Term Dynamics
  • Chapter No. 4 Data Quality Touls Market – Component Segment Analysis
    • 4.1. Overview
      • 4.1.1. Market Revenue Share, By Component, 2020 & 2028
    • 4.2. Software
      • 4.2.1. Market Data Type and Forecast, By Region (USD Million)
      • 4.2.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 4.2.3. Key Market Trends, Growth Factors, & Opportunities
    • 4.3. Services
      • 4.3.1. Market Data Type and Forecast, By Region (USD Million)
      • 4.3.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 4.3.3. Key Market Trends, Growth Factors, & Opportunities
  • Chapter No. 5 Data Quality Touls Market – Vertical Segment Analysis
    • 5.1. Overview
      • 5.1.1. Market Revenue Share, By Vertical, 2020 & 2028
    • 5.2. BFSI
      • 5.2.1. Market Data Type and Forecast, By Region (USD Million)
      • 5.2.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 5.2.3. Key Market Trends, Growth Factors, & Opportunities
    • 5.3. Government
      • 5.3.1. Market Data Type and Forecast, By Region (USD Million)
      • 5.3.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 5.3.3. Key Market Trends, Growth Factors, & Opportunities
    • 5.4. Telecommunications and IT
      • 5.4.1. Market Data Type and Forecast, By Region (USD Million)
      • 5.4.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 5.4.3. Key Market Trends, Growth Factors, & Opportunities
    • 5.5. Retail and E-commerce
      • 5.5.1. Market Data Type and Forecast, By Region (USD Million)
      • 5.5.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 5.5.3. Key Market Trends, Growth Factors, & Opportunities
    • 5.6. Manufacturing
      • 5.6.1. Market Data Type and Forecast, By Region (USD Million)
      • 5.6.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 5.6.3. Key Market Trends, Growth Factors, & Opportunities
    • 5.7. Healthcare and Life Sciences
      • 5.7.1. Market Data Type and Forecast, By Region (USD Million)
      • 5.7.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 5.7.3. Key Market Trends, Growth Factors, & Opportunities
  • Chapter No. 6 Data Quality Touls Market – Data Type Segment Analysis
    • 6.1. Overview
      • 6.1.1. Market Revenue Share, By Data Type, 2020 & 2028
    • 6.2. Financial Data
      • 6.2.1. Market Data Type and Forecast, By Region (USD Million)
      • 6.2.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 6.2.3. Key Market Trends, Growth Factors, & Opportunities
    • 6.3. Supplier Data
      • 6.3.1. Market Data Type and Forecast, By Region (USD Million)
      • 6.3.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 6.3.3. Key Market Trends, Growth Factors, & Opportunities
    • 6.4. Customer Data
      • 6.4.1. Market Data Type and Forecast, By Region (USD Million)
      • 6.4.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 6.4.3. Key Market Trends, Growth Factors, & Opportunities
    • 6.5. Product Data
      • 6.4.1. Market Data Type and Forecast, By Region (USD Million)
      • 6.4.2. Comparative Revenue Analysis, By Country, 2020 & 2028
      • 6.4.3. Key Market Trends, Growth Factors, & Opportunities
  • Chapter No. 7 Data Quality Touls Market – Regional Analysis
    • 7.1. Overview
      • 7.1.1. Global Market Revenue Share, By Region, 2020 & 2028
      • 7.1.2. Global Market Revenue, By Region, 2016 – 2028 (USD Million)
    • 7.2. North America
      • 7.2.1. North America Market Revenue, By Country, 2016 – 2028 (USD Million)
      • 7.2.2. North America Market Revenue, By Component, 2016 – 2028
      • 7.2.3. North America Market Revenue, By Vertical, 2016 – 2028
      • 7.2.4. North America Market Revenue, By Data Type, 2016 – 2028
      • 7.2.5. U.S.
        • 7.2.5.1. U.S. Market Revenue, By Component, 2016 – 2028
        • 7.2.5.2. U.S. Market Revenue, By Vertical, 2016 – 2028
        • 7.2.5.3. U.S. Market Revenue, By Data Type, 2016 – 2028
      • 7.2.6. Canada
        • 7.2.6.1. Canada Market Revenue, By Component, 2016 – 2028
        • 7.2.6.2. Canada Market Revenue, By Vertical, 2016 – 2028
        • 7.2.6.3. Canada Market Revenue, By Data Type, 2016 – 2028
      • 7.2.7. Mexico
        • 7.2.7.1. Mexico Market Revenue, By Component, 2016 – 2028
        • 7.2.7.2. Mexico Market Revenue, By Vertical, 2016 – 2028
        • 7.2.7.3. Mexico Market Revenue, By Data Type, 2016 – 2028
    • 7.3. Europe
      • 7.3.1. Europe Market Revenue, By Country, 2016 – 2028 (USD Million)
      • 7.3.2. Europe Market Revenue, By Component, 2016 – 2028
      • 7.3.3. Europe Market Revenue, By Vertical, 2016 – 2028
      • 7.3.4. Europe Market Revenue, By Data Type, 2016 – 2028
      • 7.3.5. Germany
        • 7.3.5.1. Germany Market Revenue, By Component, 2016 – 2028
        • 7.3.5.2. Germany Market Revenue, By Vertical, 2016 – 2028
        • 7.3.5.3. Germany Market Revenue, By Data Type, 2016 – 2028
      • 7.3.6. France
        • 7.3.6.1. France Market Revenue, By Component, 2016 – 2028
        • 7.3.6.2. France Market Revenue, By Vertical, 2016 – 2028
        • 7.3.6.3. France Market Revenue, By Data Type, 2016 – 2028
      • 7.3.7. U.K.
        • 7.3.7.1. U.K. Market Revenue, By Component, 2016 – 2028
        • 7.3.7.2. U.K. Market Revenue, By Vertical, 2016 – 2028
        • 7.3.7.3. U.K. Market Revenue, By Data Type, 2016 – 2028
      • 7.3.8. Italy
        • 7.3.8.1. Italy Market Revenue, By Component, 2016 – 2028
        • 7.3.8.2. Italy Market Revenue, By Vertical, 2016 – 2028
        • 7.3.8.3. Italy Market Revenue, By Data Type, 2016 – 2028
      • 7.3.9. Spain
        • 7.3.9.1. Spain Market Revenue, By Component, 2016 – 2028
        • 7.3.9.2. Spain Market Revenue, By Vertical, 2016 – 2028
        • 7.3.9.3. Spain Market Revenue, By Data Type, 2016 – 2028
      • 7.3.10. Rest of Europe
        • 7.3.10.1. Rest of Europe Market Revenue, By Component, 2016 – 2028
        • 7.3.10.2. Rest of Europe Market Revenue, By Vertical, 2016 – 2028
        • 7.3.10.3. Rest of Europe Market Revenue, By Data Type, 2016 – 2028
    • 7.4. Asia Pacific
      • 7.4.1. Asia Pacific Market Revenue, By Country, 2016 – 2028 (USD Million)
      • 7.4.2. Asia Pacific Market Revenue, By Component, 2016 – 2028
      • 7.4.3. Asia Pacific Market Revenue, By Vertical, 2016 – 2028
      • 7.4.4. Asia Pacific Market Revenue, By Data Type, 2016 – 2028
      • 7.4.5. China
        • 7.4.5.1. China Market Revenue, By Component, 2016 – 2028
        • 7.4.5.2. China Market Revenue, By Vertical, 2016 – 2028
        • 7.4.5.3. China Market Revenue, By Data Type, 2016 – 2028
      • 7.4.6. Japan
        • 7.4.6.1. Japan Market Revenue, By Component, 2016 – 2028
        • 7.4.6.2. Japan Market Revenue, By Vertical, 2016 – 2028
        • 7.4.6.3. Japan Market Revenue, By Data Type, 2016 – 2028
      • 7.4.7. India
        • 7.4.7.1. India Market Revenue, By Component, 2016 – 2028
        • 7.4.7.2. India Market Revenue, By Vertical, 2016 – 2028
        • 7.4.7.3. India Market Revenue, By Data Type, 2016 – 2028
      • 7.4.8. South Korea
        • 7.4.8.1. South Korea Market Revenue, By Component, 2016 – 2028
        • 7.4.8.2. South Korea Market Revenue, By Vertical, 2016 – 2028
        • 7.4.8.3. South Korea Market Revenue, By Data Type, 2016 – 2028
      • 7.4.9. South-East Asia
        • 7.4.9.1. South-East Asia Market Revenue, By Component, 2016 – 2028
        • 7.4.9.2. South-East Asia Market Revenue, By Vertical, 2016 – 2028
        • 7.4.9.3. South-East Asia Market Revenue, By Data Type, 2016 – 2028
      • 7.4.10. Rest of Asia Pacific
        • 7.4.10.1. Rest of Asia Pacific Market Revenue, By Component, 2016 – 2028
        • 7.4.10.2. Rest of Asia Pacific Market Revenue, By Vertical, 2016 – 2028
        • 7.4.10.3. Rest of Asia Pacific Market Revenue, By Data Type, 2016 – 2028
    • 7.5. Latin America
      • 7.5.1. Latin America Market Revenue, By Country, 2016 – 2028 (USD Million)
      • 7.5.2. Latin America Market Revenue, By Component, 2016 – 2028
      • 7.5.3. Latin America Market Revenue, By Vertical, 2016 – 2028
      • 7.5.4. Latin America Market Revenue, By Data Type, 2016 – 2028
      • 7.5.5. Brazil
        • 7.5.5.1. Brazil Market Revenue, By Component, 2016 – 2028
        • 7.5.5.2. Brazil Market Revenue, By Vertical, 2016 – 2028
        • 7.5.5.3. Brazil Market Revenue, By Data Type, 2016 – 2028
      • 7.5.6. Argentina
        • 7.5.6.1. Argentina Market Revenue, By Component, 2016 – 2028
        • 7.5.6.2. Argentina Market Revenue, By Vertical, 2016 – 2028
        • 7.5.6.3. Argentina Market Revenue, By Data Type, 2016 – 2028
      • 7.5.7. Rest of Latin America
        • 7.5.7.1. Rest of Latin America Market Revenue, By Component, 2016 – 2028
        • 7.5.7.2. Rest of Latin America Market Revenue, By Vertical, 2016 – 2028
        • 7.5.7.3. Rest of Latin America Market Revenue, By Data Type, 2016 – 2028
    • 7.6. The Middle-East and Africa
      • 7.6.1. The Middle-East and Africa Market Revenue, By Country, 2016 – 2028 (USD Million)
      • 7.6.2. The Middle-East and Africa Market Revenue, By Component, 2016 – 2028
      • 7.6.3. The Middle-East and Africa Market Revenue, By Vertical, 2016 – 2028
      • 7.6.4. The Middle-East and Africa Market Revenue, By Data Type, 2016 – 2028
      • 7.6.5. GCC Countries
        • 7.6.5.1. GCC Countries Market Revenue, By Component, 2016 – 2028
        • 7.6.5.2. GCC Countries Market Revenue, By Vertical, 2016 – 2028
        • 7.6.5.3. GCC Countries Market Revenue, By Data Type, 2016 – 2028
      • 7.6.6. South Africa
        • 7.6.6.1. South Africa Market Revenue, By Component, 2016 – 2028
        • 7.6.6.2. South Africa Market Revenue, By Vertical, 2016 – 2028
        • 7.6.6.3. South Africa Market Revenue, By Data Type, 2016 – 2028
      • 7.6.7. Rest of Middle-East Africa
        • 7.6.7.1. Rest of Middle-East Africa Market Revenue, By Component, 2016 – 2028
        • 7.6.7.2. Rest of Middle-East Africa Market Revenue, By Vertical, 2016 – 2028
        • 7.6.7.3. Rest of Middle-East Africa Market Revenue, By Data Type, 2016 – 2028
  • Chapter No. 8 Data Quality Touls Market – Industry Analysis
    • 8.1. Introduction
    • 8.2. Market Drivers
      • 8.2.1. Driving Factor 1 Analysis
      • 8.2.2. Driving Factor 2 Analysis
    • 8.3. Market Restraints
      • 8.3.1. Restraining Factor Analysis
    • 8.4. Market Opportunities
      • 8.4.1. Market Opportunity Analysis
    • 8.5. Porter’s Five Forces Analysis
    • 8.6. PEST Analysis
    • 8.7. Regulatory Landscape
    • 8.8. Component Landscape
    • 8.9. Regional Market Trends
      • 8.9.1. North America
      • 8.9.2. Europe
      • 8.9.3. Asia Pacific
      • 8.9.4. Latin America
      • 8.9.5. The Middle-East and Africa
    • 8.10. Pricing Analysis
    • 8.11. Value Chain Analysis
    • 8.12. Downstream Buyers
    • 8.13. Distributors/Traders List
  • Chapter No. 9 Competitive Landscape
    • 9.1. Company Market Share Analysis – 2019
      • 9.1.1. Global Data Quality Touls Market: Company Market Share, 2019
      • 9.1.2. Global Data Quality Touls Market, Company Market Revenue, 2016 – 2019 (USD Million)
      • 9.1.3. Global Data Quality Touls Market, Company Y-o-Y Growth, 2017 – 2019 (%)
      • 9.1.4. Global Data Quality Touls Market: Radar Determinant Chart, 2019
    • 9.2. Strategic Developments
      • 9.2.1. Acquisitions & Mergers
      • 9.2.2. New Product Launch
      • 9.2.3. Regional Expansion
    • 9.3. Company Strategic Developments – Heat Map Analysis
  • Chapter No. 10 Company Profiles
    • 10.1. Information Builders
      • 10.1.1. Company Overview
      • 10.1.2. Key Executives
      • 10.1.3. Product Portfolio
      • 10.1.4. Financial Overview
      • 10.1.5. Operating Business Segments
      • 10.1.6. Business Performance
      • 10.1.7. Recent Developments
    • 10.2. Microsoft Corporation
    • 10.3. Pitney Bowes Inc.
    • 10.4. Syncsort
    • 10.5. International Business Machines Corporation
    • 10.6. Informatica
    • 10.7. Oracle Corporation
    • 10.8. SAS Institute Inc.
    • 10.9. Talend
    • 10.10. SAP SE
  • Chapter No. 11 Financial Data Strategy Analysis
    • 11.1. Financial Data Channel
    • 11.2. Direct Financial Data
    • 11.3. Indirect Financial Data
    • 11.4. Financial Data Channel Development Trends
    • 11.5. Economic/Pulitical Vertical Change
  • Chapter No. 12 Research Methodology
    • 12.1. Research Methodology
    • 12.2. Phase I - Secondary Research
    • 12.3. Phase II - Data Modeling
      • 12.3.1. Company Share Analysis Model
      • 12.3.2. Revenue Based Modeling
    • 12.4. Phase III - Primary Research
    • 12.5. Research Limitations
      • 12.5.1. Assumptions

Table Of Figures

List of Figures 

FIG NO. 1. Market Attractiveness Analysis, By Component
FIG NO. 2. Market Attractiveness Analysis, By Vertical
FIG NO. 4. Market Attractiveness Analysis, By Region
FIG NO. 5. Global Data Quality Tools Market Revenue, 2016 – 2028 (USD Million)
FIG NO. 6. Impact of COVID-19 Pandemic in North America Countries
FIG NO. 7. Market Revenue Share, By Component, 2020 & 2028
FIG NO. 8. Global Data Quality Tools Market for Software, Revenue (USD Million) 2016 – 2028
FIG NO. 9. Comparative Revenue Analysis of Data Quality Tools Market for Software, By Country, 2020 & 2028
FIG NO. 10. Global Data Quality Tools Market for Services, Revenue (USD Million) 2016 – 2028
FIG NO. 11. Comparative Revenue Analysis of Data Quality Tools Market for Services, By Country, 2020 & 2028
FIG NO. 12. Market Revenue Share, By Vertical, 2020 & 2028
FIG NO. 13. Global Data Quality Tools Market for BFSI, Revenue (USD Million) 2016 – 2028
FIG NO. 14. Comparative Revenue Analysis of Data Quality Tools Market for BFSI, By Country, 2020 & 2028
FIG NO. 15. Global Data Quality Tools Market for Government, Revenue (USD Million) 2016 – 2028
FIG NO. 16. Comparative Revenue Analysis of Data Quality Tools Market for Government, By Country, 2020 & 2028
FIG NO. 17. Global Data Quality Tools Market for Telecommunications and IT, Revenue (USD Million) 2016 – 2028
FIG NO. 18. Comparative Revenue Analysis of Data Quality Tools Market for Telecommunications and IT, By Country, 2020 & 2028
FIG NO. 19. Global Data Quality Tools Market for Retail and E-commerce, Revenue (USD Million) 2016 – 2028
FIG NO. 20. Comparative Revenue Analysis of Data Quality Tools Market for Retail and E-commerce, By Country, 2020 & 2028
FIG NO. 21. Global Data Quality Tools Market for Manufacturing, Revenue (USD Million) 2016 – 2028
FIG NO. 22. Comparative Revenue Analysis of Data Quality Tools Market for Manufacturing, By Country, 2020 & 2028
FIG NO. 23. Global Data Quality Tools Market for Healthcare and Life Sciences, Revenue (USD Million) 2016 – 2028
FIG NO. 24. Comparative Revenue Analysis of Data Quality Tools Market for Healthcare and Life Sciences, By Country, 2020 & 2028
FIG NO. 25. Market Revenue Share, By Data Type, 2020 & 2028
FIG NO.26. Global Data Quality Tools Market for Financial Data, Revenue (USD Million) 2016 – 2028
FIG NO. 27. Comparative Revenue Analysis of Data Quality Tools Market for Financial Data, By Country, 2020 & 2028
FIG NO. 28. Global Data Quality Tools Market for Supplier Data, Revenue (USD Million) 2016 – 2028
FIG NO. 29. Comparative Revenue Analysis of Data Quality Tools Market for Supplier Data, By Country, 2020 & 2028
FIG NO. 30. Global Data Quality Tools Market for Customer Data, Revenue (USD Million) 2016 – 2028
FIG NO. 31. Comparative Revenue Analysis of Data Quality Tools Market for Customer Data, By Country, 2020 & 2028
FIG NO. 32. Global Data Quality Tools Market for Product Data, Revenue (USD Million) 2016 – 2028
FIG NO. 33. Comparative Revenue Analysis of Data Quality Tools Market for Healthcare and Life Sciences, By Country, 2020 & 2028
FIG NO. 34. Global Data Quality Tools Market Revenue Share, By Region, 2020 & 2028
FIG NO. 35. North America Data Quality Tools Market Revenue, 2016 - 2028 (USD Million)
FIG NO. 36. Porter’s Five Forces Analysis for Global Data Quality Tools Market
FIG NO. 37. PEST Analysis for Global Data Quality Tools Market
FIG NO. 38. Pricing Analysis for Global Data Quality Tools Market
FIG NO. 39. Value Chain Analysis for Global Data Quality Tools Market
FIG NO. 40. Company Share Analysis, 2019
FIG NO. 41. Radar Determinant Chart, 2019
FIG NO. 42. Company Strategic Developments – Heat Map Analysis
FIG NO. 43. Information Builders Business Segment Revenue Share, 2020 (%)
FIG NO. 44. Information Builders Geographical Segment Revenue Share, 2020 (%)
FIG NO. 45. Market Channels
FIG NO. 46. Financial Data Channel Development Trend
FIG NO. 47. Growth in World Gross Product, 2008-2018
FIG NO. 48. Research Methodology – Detailed View
FIG NO. 49. Research Methodology


Table Of Tables

List of Tables 

TABLE NO. 1. Global Data Quality Tools Market: Snapshot
TABLE NO. 2. Quarterly Data Quality Tools Market Revenue by Region, 2020
TABLE NO. 3. Quarterly Data Quality Tools Market Revenue Forecast by Region, 2021
TABLE NO. 4. Pre COVID-19 Market Revenue, By Region, 2016-2019 (USD Million)
TABLE NO. 5. Post COVID-19 Market Revenue, By Region, 2020-2028 (USD Million)
TABLE NO. 6. Global Data Quality Tools Market for Software, by Region, 2016 – 2028 (USD Million)
TABLE NO. 7. Global Data Quality Tools Market for Services, by Region, 2016 – 2028 (USD Million)
TABLE NO. 8. Global Data Quality Tools Market for BFSI, by Region, 2016 – 2028 (USD Million)
TABLE NO. 9. Global Data Quality Tools Market for Government, by Region, 2016 – 2028 (USD Million)
TABLE NO. 10. Global Data Quality Tools Market for Telecommunications and IT, by Region, 2016 – 2028 (USD Million)
TABLE NO. 11. Global Data Quality Tools Market for Retail and E-commerce, by Region, 2016 – 2028 (USD Million)
TABLE NO. 12. Global Data Quality Tools Market for Manufacturing, by Region, 2016 – 2028 (USD Million)
TABLE NO. 13. Global Data Quality Tools Market for Healthcare and Life Sciences, by Region, 2016 – 2028 (USD Million)
TABLE NO. 14. Global Data Quality Tools Market for Financial Data, by Region, 2016 – 2028 (USD Million)
TABLE NO. 15. Global Data Quality Tools Market for Supplier Data, by Region, 2016 – 2028 (USD Million)
TABLE NO. 16. Global Data Quality Tools Market for Customer Data, by Region, 2016 – 2028 (USD Million)
TABLE NO. 17. Global Data Quality Tools Market for Product Data, by Region, 2016 – 2028 (USD Million)
TABLE NO. 18. Global Data Quality Tools Market Revenue, By Region, 2016 – 2028 (USD Million)
TABLE NO. 19. North America Data Quality Tools Market Revenue, By Country, 2016 – 2028 (USD Million)
TABLE NO. 20. North America Data Quality Tools Market Revenue, By Component, 2016 – 2028 (USD Million)
TABLE NO. 21. North America Data Quality Tools Market Revenue, By Vertical, 2016 – 2028 (USD Million)
TABLE NO. 22. North America Data Quality Tools Market Revenue, By Data Type, 2016 – 2028 (USD Million)
TABLE NO. 23. U.S. Data Quality Tools Market Revenue, By Component, 2016 – 2028 (USD Million)
TABLE NO. 24. U.S. Data Quality Tools Market Revenue, By Vertical, 2016 – 2028 (USD Million)
TABLE NO. 25. U.S. Data Quality Tools Market Revenue, By Data Type, 2016 – 2028 (USD Million)
TABLE NO. 26. Canada Data Quality Tools Market Revenue, By Component, 2016 – 2028 (USD Million)
TABLE NO. 27. Canada Data Quality Tools Market Revenue, By Vertical, 2016 – 2028 (USD Million)
TABLE NO. 28. Canada Data Quality Tools Market Revenue, By Data Type, 2016 – 2028 (USD Million)
TABLE NO. 29. Mexico Data Quality Tools Market Revenue, By Component, 2016 – 2028 (USD Million) 
TABLE NO. 30. Mexico Data Quality Tools Market Revenue, By Vertical, 2016 – 2028 (USD Million)
TABLE NO. 31. Mexico Data Quality Tools Market Revenue, By Data Type, 2016 – 2028 (USD Million)
TABLE NO. 32. Drivers for the Data Quality Tools Market: Impact Analysis
TABLE NO. 33. Restraints for the Data Quality Tools Market: Impact Analysis 
TABLE NO. 34. Major Buyers of Data Quality Tools  
TABLE NO. 35. Distributors/Traders List of Data Quality Tools 
TABLE NO. 36. Global Data Quality Tools Market, Company Market Revenue, 2016 – 2019 (USD Million)
TABLE NO. 37. Global Data Quality Tools Market, Company Y-o-Y Growth, 2017 – 2019 (USD Million)
  
 

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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FrequentlyAsked Questions

The global Data Quality Tools market was valued at USD 673.2 Million in 2020.

The global Data Quality Tools market is expected to reach USD 2371.9 Million by 2028, growing at a CAGR of 17.1% between 2021 to 2028.

Rise in the volume of business data across myriad firms along with mammoth need for acquiring high data quality in CRM and data integration activities is likely to propel the growth of data quality tools market in the years ahead.

Regionally, North America has been leading the worldwide data quality tools market and is anticipated to continue on the dominant position in the years to come, states the data quality tools market study. Enormous growth witnessed in enterprise information management activities is the main factor behind the dominance of the North America data quality tools market. The high number of market players being headquartered in North America is another significant factor that is supporting this regional data quality tools market.

The major players operating in the Data Quality Tools market are Information Builders, MICROSOFT CORPORATION, Pitney Bowes Inc., Syncsort, International Business Machines Corporation, Informatica, Oracle Corporation, SAS Institute Inc., Talend, and SAP SE.

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