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Global Data Quality Tools Market Size study, by Type (On-Premises, Cloud), by Application (Enterprise, Government) and Regional Forecasts 2018-2025

Global Data Quality Tools Market to reach USD 2655 million by 2025.

Global Data Quality Tools Market valued approximately USD 720 million in 2017 is anticipated to grow with a healthy growth rate of more than 17.72% over the forecast period 2018-2025. The major driving factor of global data quality tools market are rising investment in data quality, increasing reliability of data for strategic decision making and changing regulatory compliance requirements for data quality across various industries. The use of data quality tools for marketing purposes will be one of the primary factors fueling the growth of the data quality tools market in the coming years. Moreover, 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. The major restraining factors of global data quality tools are high implementations costs, longer deployment time and lack of awareness about data quality tools applications & use and data security concerns resulting in large-scale adoption of cloud –based systems. Data quality tool enhances the quality of the data through various standardized processes, in order to maintain the quality of the data as per specific industry standards. Data quality tools address the critical issues in all areas of information resources management, typically across various critical applications, including CRM, ERP, and BI. There are many benefits of data quality tools such as it enhances the accuracy, timeliness, completeness, and consistency of information across various enterprise operations, data quality tools enables an organization to complete a project correctly the first time around and it also helps in increasing customer satisfaction.
The regional analysis of Global Data Quality Tools Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America accounted leading share of total generating revenue in 2017 across the globe due to expanding enterprise information management initiatives across various industries. Asia-Pacific region region is also anticipated to exhibit higher growth rate / CAGR over the forecast period 2018-2025, due to growing interest on data quality improvement solutions and rising focus on data driven technical and strategic decision making practices.
The major market player included in this report are:
• Informatica
• IBM
• SAS
• SAP
• Oracle
• Trillium Software
• Information Builder
• Experian
• Ataccama
• Talend
• Pitney Bowes
• RedPoint

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Type:

? On-Premises
? Cloud

By Application:

? Enterprise
? Government

By Regions:
? North America
o U.S.
o Canada
? Europe
o UK
o Germany
? Asia Pacific
o China
o India
o Japan
? Latin America
o Brazil
o Mexico
? Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2015, 2016
Base year – 2017
Forecast period – 2018 to 2025

Target Audience of the Global Data Quality Tools Market in Market Study:

? Key Consulting Companies & Advisors
? Large, medium-sized, and small enterprises
? Venture capitalists
? Value-Added Resellers (VARs)
? Third-party knowledge providers
? Investment bankers
? Investors

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TABLE OF CONTENTS

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Key Trends
1.3. Global & Segmental Market Estimates & Forecasts, 2015-2025 (USD Billion)
1.3.1. Data Quality Tools, by Type, 2015-2025 (USD Billion)
1.3.2. Data Quality Tools, by Application, 2015-2025 (USD Billion)
1.3.3. Data Quality Tools, by Region, 2015-2025 (USD Billion)
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Data Quality Tools Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Data Quality Tools Dynamics
3.1. See Saw Analysis
3.1.1. Market Drivers
3.1.2. Market Challenges
3.1.3. Market Opportunities
Chapter 4. Data Quality Tools Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Buyers
4.1.2. Bargaining Power of Suppliers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model
4.2. PEST Analysis
4.2.1. Political Scenario
4.2.2. Economic Scenario
4.2.3. Social Scenario
4.2.4. Technological Scenario
4.3. Value Chain Analysis
4.3.1. Supplier
4.3.2. Manufacturers/Service Provider
4.3.3. Distributors
4.3.4. End-Users
4.4. Key Buying Criteria
4.5. Regulatory Framework
4.6. Cost Structure Analysis
4.6.1. Raw Material Cost Analysis
4.6.2. Manufacturing Cost Analysis
4.6.3. Labour Cost Analysis
4.7. Investment Vs Adoption Scenario
4.8. Analyst Recommendation & Conclusion
Chapter 5. Data Quality Tools, by Type
5.1. Market Snapshot
5.2. Market Performance – Potential Model
5.3. Key Market Players
5.4. Data Quality Tools, Sub Segment Analysis
5.4.1. On-Premises
5.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.4.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.4.2. Cloud
5.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.4.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
Chapter 6. Data Quality Tools, by Application
6.1. Market Snapshot
6.2. Market Performance – Potential Model
6.3. Key Market Players
6.4. Data Quality Tools, Sub Segment Analysis
6.4.1. Enterprise
6.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.4.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
6.4.2. Government
6.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.4.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
Chapter 7. Data Quality Tools, by Regional Analysis
7.1. Data Quality Tools, Regional Market Snapshot (2015-2025)
7.2. North America Data Quality Tools Snapshot
7.2.1. U.S.
7.2.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.2.1.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.2.1.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.2.1.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.2.2. Canada
7.2.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.2.2.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.2.2.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.2.2.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3. Europe Data Quality Tools Snapshot
7.3.1. U.K.
7.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.3.1.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3.1.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3.1.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3.2. Germany
7.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.3.2.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3.2.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3.2.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3.3. France
7.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.3.3.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3.3.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3.3.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3.4. Rest of Europe
7.3.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.3.4.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3.4.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3.4.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4. Asia Data Quality Tools Snapshot
7.4.1. China
7.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.4.1.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4.1.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4.1.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4.2. India
7.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.4.2.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4.2.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4.2.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4.3. Japan
7.4.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.4.3.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4.3.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4.3.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4.4. Rest of Asia Pacific
7.4.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.4.4.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4.4.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4.4.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.5. Latin America Data Quality Tools Snapshot
7.5.1. Brazil
7.5.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.5.1.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.5.1.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.5.1.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.5.2. Mexico
7.5.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.5.2.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.5.2.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.5.2.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.6. Rest of The World
7.6.1. South America
7.6.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.6.1.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.6.1.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.6.1.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.6.2. Middle East and Africa
7.6.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.6.2.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.6.2.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.6.2.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
Chapter 8. Competitive Intelligence
8.1. Company Market Share (Subject to Data Availability)
8.2. Top Market Strategies
8.3. Company Profiles
8.3.1. Informatica
8.3.1.1. Overview
8.3.1.2. Financial (Subject to Data Availability)
8.3.1.3. Product Summary
8.3.1.4. Recent Developments
8.3.2. IBM
8.3.3. SAS
8.3.4. SAP
8.3.5. Oracle
8.3.6. Trillium Software
8.3.7. Information Builder
8.3.8. Experian
8.3.9. Ataccama
8.3.10. Talend
8.3.11. Pitney Bowes
8.3.12. RedPoint
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.1.6. Research Assumption

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