Gain market share and customer base information about the top Data Quality software. Check out our list of Data Quality Software, analyze them by marketshare, region, company size along with information about competitors, prospects, tech stacks, funding information, contract renewal dates and more.
Over 35099 companies are using Data Quality tools. Segment with 83.70% market share (29379 customers), Plaid with 11.48% market share (4029 customers), Collibra Data Quality with 1.77% market share (623 customers),
83.70 %
Market Share
29379
Customers
11.48 %
Market Share
4029
Customers
1.77 %
Market Share
623
Customers
0.68 %
Market Share
239
Customers
0.53 %
Market Share
187
Customers
1.83 %
Market Share
642
Customers
The majority of Data Quality category falls in the company size of 0 - 9 employees (14167 companies) , 20 - 49 employees (9196 companies) , 10 - 19 employees (3455 companies) .
Companies using Data Quality technology software are majorly from the United States with 25060 (78.86%) , United Kingdom with 1781 (5.60%) , Canada with 1232 (3.88%) customers respectively.
Top industries that use Data Quality for Professional Services (7907) , Technology (7496) , Retail and CPG (5196) .
Find answers to the most often asked questions by users.
Top leaders in the category for Data Quality software are Segment , Plaid , Collibra Data Quality . Here, you can view a full list of Data Quality tools in the market.
Around the world in 2022, over 35100 companies are currently using one or more Data Quality software. Out of these, there are 25060 companies using Data Quality tools that are originally from the United States .
The top few companies that have the most significant market share in the Data Quality space are Segment with 83.70 % of market share Plaid with 11.48 % of market share Collibra Data Quality with 1.77 % of market share . Check for other Data Quality technologies market share here.
The top industries that use Data Quality software are Professional Services (7907) Technology (7496) Retail and CPG (5196) .
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