Data Quality Tools Market Size, Share, Growth, Trends Analysis Report and Forecast 2022 – 2031

Kenneth Research, in its repository of market research reports, have recently added a report on Data Quality Tools Market which emphasizes on the latest trends, key opportunities, drivers, and the challenges associated with the growth of the market during the forecast period, i.e., 2022-2031. The Data Quality Tools Market is anticipated to grow primarily on account of the growing trade of ICT goods and services worldwide. According to the statistics by the World Bank, the exports of ICT goods globally increased from 11.164% of total goods exports in 2017 to 11.53% of total goods exports in 2019.

U S Market recovers fast; In a release on May 4th 2021, the U.S. Bureau and Economic Analysis and U.S. Census Bureau mention the recovery in the U.S. International trade in March 2021. Exports in the country reached $200 billion, up by $12.4 billion in Feb 2021. Following the continuous incremental trend, imports tallied at $274.5 billion, picked up by $16.4 billion in Feb 2021. However, as COVID19 still haunts the economies across the globe, year-over-year (y-o-y) average exports in the U.S. declined by $7.0 billion from March 2020 till March 2021 whilst imports increased by $20.7 billion during the same time. This definitely shows how the market is trying to recover back and this will have a direct impact on the Healthcare/ICT/Chemical industries, creating a huge demand for Data Quality Tools Market products.

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Moreover, increase in ICT spending around the globe for hardware, software, services, new technologies and telecom among others is also anticipated to contribute to the growth of the market in the coming years. The spending on new technologies recorded around USD 0.6 million in 2018 and is further estimated to reach close to USD 1.3 million by 2023. The total ICT spending around the globe further recorded close to USD 5 million in 2019 and is further.

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

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By Regions:
North America
U.S.
Canada
Europe
UK
Germany
Asia Pacific
China
India
Japan
Latin America
Brazil
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

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 Snapsh

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