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Data Quality Tools Market by Component (Services, Software), Data Type (Compliance Data, Customer Data, Financial Data), Functionality, Business Function, Deployment Model, Organization Size, End-User - Global Forecast 2024-2030

Publisher 360iResearch
Published Jan 15, 2024
Length 195 Pages
SKU # IRE18442578

Description

Data Quality Tools Market by Component (Services, Software), Data Type (Compliance Data, Customer Data, Financial Data), Functionality, Business Function, Deployment Model, Organization Size, End-User - Global Forecast 2024-2030


The Data Quality Tools Market size was estimated at USD 1.44 billion in 2023 and expected to reach USD 1.61 billion in 2024, at a CAGR 12.04% to reach USD 3.20 billion by 2030.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Data Quality Tools Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Data Quality Tools Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Data Quality Tools Market, highlighting leading vendors and their innovative profiles. These include Ataccama Software, s.r.o., DQLabs, Inc., Egon Data Quality S.L., Experian Information Solutions, Inc., Informatica Inc., Information Builders, Inc. by Cloud Software Group, Inc., Innovative Systems, Inc., International Business Machines Corporation, Melissa Inc., Microsoft Corporation, Openprise, Inc., Oracle Corporation, Precisely Holdings LLC, SAP SE, SAS Institute, Inc., Soda Data NV, Symphonic Source Inc., Syncari, Inc., Syniti, Talend S.A., Tamr Inc., Trianz, Uniserv GmbH, and Zeenea.

Market Segmentation & Coverage

This research report categorizes the Data Quality Tools Market to forecast the revenues and analyze trends in each of the following sub-markets:

Component
Services
Managed Services
Professional Services

Software
Data Type
Compliance Data

Customer Data

Financial Data

Product Data

Supplier Data
Functionality
Data Enrichment & Cleansing

Data Monitoring

Data Standardization

Data Validation
Business Function
Finance

Human Resources

Legal

Marketing & Sales
Deployment Model
Cloud

On-Premises
Organization Size
Large Enterprises

Small & Large Enterprises
End-User
BFSI

Energy & Utilities

Government & Defense

Healthcare & Life Sciences

Manufacturing

Media & Entertainment

Retail & eCommerce

Telecommunications & IT
Region
Americas
Argentina
Brazil
Canada
Mexico
United States
California
Florida
Illinois
New York
Ohio
Pennsylvania
Texas

Asia-Pacific
Australia
China
India
Indonesia
Japan
Malaysia
Philippines
Singapore
South Korea
Taiwan
Thailand
Vietnam

Europe, Middle East & Africa
Denmark
Egypt
Finland
France
Germany
Israel
Italy
Netherlands
Nigeria
Norway
Poland
Qatar
Russia
Saudi Arabia
South Africa
Spain
Sweden
Switzerland
Turkey
United Arab Emirates
United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the Data Quality Tools Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Data Quality Tools Market?
3. What are the technology trends and regulatory frameworks in the Data Quality Tools Market?
4. What is the market share of the leading vendors in the Data Quality Tools Market?
5. Which modes and strategic moves are suitable for entering the Data Quality Tools Market?PDF E-mail From Publisher (2-5)Users License

Table of Contents

195 Pages
1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Data Quality Tools Market, by Region
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Rising emphasis on data-driven decision making in enterprises
5.1.1.2. Growing volumes of data generated from various sources
5.1.1.3. Regulatory frameworks for data privacy and security
5.1.2. Restraints
5.1.2.1. Constant evolution of data sources and budget constraints for smaller organizations
5.1.3. Opportunities
5.1.3.1. Development and launch of advanced data quality tools
5.1.3.2. Emerging applications of AI in data quality tools
5.1.4. Challenges
5.1.4.1. Issues and complexities associated with data integration
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of High Inflation
5.5. Porter’s Five Forces Analysis
5.5.1. Threat of New Entrants
5.5.2. Threat of Substitutes
5.5.3. Bargaining Power of Customers
5.5.4. Bargaining Power of Suppliers
5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework
6. Data Quality Tools Market, by Component
6.1. Introduction
6.2. Services
6.3.1. Managed Services
6.3.2. Professional Services
6.3. Software
7. Data Quality Tools Market, by Data Type
7.1. Introduction
7.2. Compliance Data
7.3. Customer Data
7.4. Financial Data
7.5. Product Data
7.6. Supplier Data
8. Data Quality Tools Market, by Functionality
8.1. Introduction
8.2. Data Enrichment & Cleansing
8.3. Data Monitoring
8.4. Data Standardization
8.5. Data Validation
9. Data Quality Tools Market, by Business Function
9.1. Introduction
9.2. Finance
9.3. Human Resources
9.4. Legal
9.5. Marketing & Sales
10. Data Quality Tools Market, by Deployment Model
10.1. Introduction
10.2. Cloud
10.3. On-Premises
11. Data Quality Tools Market, by Organization Size
11.1. Introduction
11.2. Large Enterprises
11.3. Small & Large Enterprises
12. Data Quality Tools Market, by End-User
12.1. Introduction
12.2. BFSI
12.3. Energy & Utilities
12.4. Government & Defense
12.5. Healthcare & Life Sciences
12.6. Manufacturing
12.7. Media & Entertainment
12.8. Retail & eCommerce
12.9. Telecommunications & IT
13. Americas Data Quality Tools Market
13.1. Introduction
13.2. Argentina
13.3. Brazil
13.4. Canada
13.5. Mexico
13.6. United States
14. Asia-Pacific Data Quality Tools Market
14.1. Introduction
14.2. Australia
14.3. China
14.4. India
14.5. Indonesia
14.6. Japan
14.7. Malaysia
14.8. Philippines
14.9. Singapore
14.10. South Korea
14.11. Taiwan
14.12. Thailand
14.13. Vietnam
15. Europe, Middle East & Africa Data Quality Tools Market
15.1. Introduction
15.2. Denmark
15.3. Egypt
15.4. Finland
15.5. France
15.6. Germany
15.7. Israel
15.8. Italy
15.9. Netherlands
15.10. Nigeria
15.11. Norway
15.12. Poland
15.13. Qatar
15.14. Russia
15.15. Saudi Arabia
15.16. South Africa
15.17. Spain
15.18. Sweden
15.19. Switzerland
15.20. Turkey
15.21. United Arab Emirates
15.22. United Kingdom
16. Competitive Landscape
16.1. FPNV Positioning Matrix
16.2. Market Share Analysis, By Key Player
16.3. Competitive Scenario Analysis, By Key Player
17. Competitive Portfolio
17.1. Key Company Profiles
17.1.1. Ataccama Software, s.r.o.
17.1.2. DQLabs, Inc.
17.1.3. Egon Data Quality S.L.
17.1.4. Experian Information Solutions, Inc.
17.1.5. Informatica Inc.
17.1.6. Information Builders, Inc. by Cloud Software Group, Inc.
17.1.7. Innovative Systems, Inc.
17.1.8. International Business Machines Corporation
17.1.9. Melissa Inc.
17.1.10. Microsoft Corporation
17.1.11. Openprise, Inc.
17.1.12. Oracle Corporation
17.1.13. Precisely Holdings LLC
17.1.14. SAP SE
17.1.15. SAS Institute, Inc.
17.1.16. Soda Data NV
17.1.17. Symphonic Source Inc.
17.1.18. Syncari, Inc.
17.1.19. Syniti
17.1.20. Talend S.A.
17.1.21. Tamr Inc.
17.1.22. Trianz
17.1.23. Uniserv GmbH
17.1.24. Zeenea
17.2. Key Product Portfolio
18. Appendix
18.1. Discussion Guide
18.2. License & Pricing
FIGURE 1. DATA QUALITY TOOLS MARKET RESEARCH PROCESS
FIGURE 2. DATA QUALITY TOOLS MARKET SIZE, 2023 VS 2030
FIGURE 3. DATA QUALITY TOOLS MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 4. DATA QUALITY TOOLS MARKET SIZE, BY REGION, 2023 VS 2030 (%)
FIGURE 5. DATA QUALITY TOOLS MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 6. DATA QUALITY TOOLS MARKET DYNAMICS
FIGURE 7. DATA QUALITY TOOLS MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
FIGURE 8. DATA QUALITY TOOLS MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 9. DATA QUALITY TOOLS MARKET SIZE, BY DATA TYPE, 2023 VS 2030 (%)
FIGURE 10. DATA QUALITY TOOLS MARKET SIZE, BY DATA TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 11. DATA QUALITY TOOLS MARKET SIZE, BY FUNCTIONALITY, 2023 VS 2030 (%)
FIGURE 12. DATA QUALITY TOOLS MARKET SIZE, BY FUNCTIONALITY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 13. DATA QUALITY TOOLS MARKET SIZE, BY BUSINESS FUNCTION, 2023 VS 2030 (%)
FIGURE 14. DATA QUALITY TOOLS MARKET SIZE, BY BUSINESS FUNCTION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 15. DATA QUALITY TOOLS MARKET SIZE, BY DEPLOYMENT MODEL, 2023 VS 2030 (%)
FIGURE 16. DATA QUALITY TOOLS MARKET SIZE, BY DEPLOYMENT MODEL, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 17. DATA QUALITY TOOLS MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2030 (%)
FIGURE 18. DATA QUALITY TOOLS MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 19. DATA QUALITY TOOLS MARKET SIZE, BY END-USER, 2023 VS 2030 (%)
FIGURE 20. DATA QUALITY TOOLS MARKET SIZE, BY END-USER, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 21. AMERICAS DATA QUALITY TOOLS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 22. AMERICAS DATA QUALITY TOOLS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 23. UNITED STATES DATA QUALITY TOOLS MARKET SIZE, BY STATE, 2023 VS 2030 (%)
FIGURE 24. UNITED STATES DATA QUALITY TOOLS MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 25. ASIA-PACIFIC DATA QUALITY TOOLS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 26. ASIA-PACIFIC DATA QUALITY TOOLS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 27. EUROPE, MIDDLE EAST & AFRICA DATA QUALITY TOOLS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 28. EUROPE, MIDDLE EAST & AFRICA DATA QUALITY TOOLS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 29. DATA QUALITY TOOLS MARKET, FPNV POSITIONING MATRIX, 2023
FIGURE 30. DATA QUALITY TOOLS MARKET SHARE, BY KEY PLAYER, 2023

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