In the past years, data quality management has become a key concern for big companies in various activities such as data integration, customer relationship management, and regulatory requirements etc. Many organizations are extracting data from various sources and using it for multiple purposes. Data quality management is difficult as well as crucially important. Ensuring the quality of data has become very difficult when it integrates data from multiple sources. Data quality management tools are linked to data cleansing tools such as data cleansing, data profiling, data monitoring etc. that helps in eliminating inconsistent data. Many organizations have started using this automated data cleansing and profiling tools that help in eliminating unusable data that is created from human data entry error.
Real-time data standardization helps in increasing adoption of data analytics. This factor resulted in the huge growth of data quality management market.
In 2018, the global Data Quality Management market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.
This report focuses on the global Data Quality Management status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Data Quality Management development in United States, Europe and China.
The key players covered in this study
Market segment by Type, the product can be split into
Market segment by Application, split into
Transportation & logistics
Market segment by Regions/Countries, this report covers
Central & South America
The study objectives of this report are:
To analyze global Data Quality Management status, future forecast, growth opportunity, key market and key players.
To present the Data Quality Management development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
In this study, the years considered to estimate the market size of Data Quality Management are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.