Data Quality Management Software Market Professional Survey, Global Outlook and Forecast 2023-2029
Data quality management (DQM) refers to a business principle that requires a combination of the right people, processes and technologies all with the common goal of improving the measures of data quality that matter most to an enterprise organization. That last part is important: the ultimate purpose of DQM is not just to improve data quality for the sake of having high-quality data but rather to achieve the business outcomes that depend upon high-quality data. The big one is customer relationship management or CRM.
This report aims to provide a comprehensive presentation of the global market for Data Quality Management Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Quality Management Software. This report contains market size and forecasts of Data Quality Management Software in global, including the following market information:
Global Data Quality Management Software Market Revenue, 2018-2023, 2024-2029, ($ millions)
Global top five companies in 2022 (%)
The global Data Quality Management Software market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
On-Premises Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Data Quality Management Software include IBM, Informatica, Oracle, SAP, SAS, Precisely, Talend, Experian and Ataccama, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Data Quality Management Software companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Data Quality Management Software Market, by Type, 2018-2023, 2024-2029 ($ millions)
Global Data Quality Management Software Market Segment Percentages, by Type, 2022 (%)
On-Premises
Cloud Based
Global Data Quality Management Software Market, by Application, 2018-2023, 2024-2029 ($ millions)
Global Data Quality Management Software Market Segment Percentages, by Application, 2022 (%)
SMEs
Large Enterprises
Global Data Quality Management Software Market, By Region and Country, 2018-2023, 2024-2029 ($ Millions)
Global Data Quality Management Software Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Data Quality Management Software revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Data Quality Management Software revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
IBM
Informatica
Oracle
SAP
SAS
Precisely
Talend
Experian
Ataccama
Information Builders
RedPoint Global
Microsoft
Innovative Systems
Alteryx
MIOsoft
Syniti
TIBCO Software
Melissa Data
Validity
Datactics
Symphonic Source (Cloudingo)
Data Ladder
Irion
Deyde DataCentric
Collibra
PiLog Group
Outline of Major Chapters:
Chapter 1: Introduces the definition of Data Quality Management Software, market overview.
Chapter 2: Global Data Quality Management Software market size in revenue.
Chapter 3: Detailed analysis of Data Quality Management Software company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of Data Quality Management Software in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
