Industry Growth Insights published a new data on “Data Cleansing Tools Market”. The research report is titled “Data Cleansing Tools Market research by Types (Cloud, SaaS, Web, Installed, API Integration), By Applications (Agencies, Large Enterprises, Small and Medium-sized Enterprises (SMEs), Personal Use, Other), By Players/Companies IBM, SAS Institute Inc, SAP SE, Trifacta, OpenRefine, Data Ladder, Analytics Canvas(nModal Solutions Inc.), Mo-Data, Prospecta, WinPure Ltd, Symphonic Source Inc, MuleSoft，LLC, MapR Technologies，Inc, RedPoint Global Inc, Validity, Talend, V12 Data”.
Scope Of The Report
Report Attributes
Report Details
Report Title
Data Cleansing Tools Market Research Report
By Type
Cloud, SaaS, Web, Installed, API Integration
By Application
Agencies, Large Enterprises, Small and Medium-sized Enterprises (SMEs), Personal Use, Other
By Companies
IBM, SAS Institute Inc, SAP SE, Trifacta, OpenRefine, Data Ladder, Analytics Canvas(nModal Solutions Inc.), Mo-Data, Prospecta, WinPure Ltd, Symphonic Source Inc, MuleSoft，LLC, MapR Technologies，Inc, RedPoint Global Inc, Validity, Talend, V12 Data
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
237
Number of Tables & Figures
166
Customization Available
Yes, the report can be customized as per your need.
Global Data Cleansing Tools Market Report Segments:
The global Data Cleansing Tools market is segmented on the basis of:
Types
Cloud, SaaS, Web, Installed, API Integration
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Agencies, Large Enterprises, Small and Medium-sized Enterprises (SMEs), Personal Use, Other
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- IBM
- SAS Institute Inc
- SAP SE
- Trifacta
- OpenRefine
- Data Ladder
- Analytics Canvas(nModal Solutions Inc.)
- Mo-Data
- Prospecta
- WinPure Ltd
- Symphonic Source Inc
- MuleSoft，LLC
- MapR Technologies，Inc
- RedPoint Global Inc
- Validity
- Talend
- V12 Data
Highlights of The Data Cleansing Tools Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Cloud, SaaS, Web
- Installed
- API Integration
- By Application:
- Agencies
- Large Enterprises
- Small and Medium-sized Enterprises (SMEs)
- Personal Use
- Other
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Data Cleansing Tools Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Data cleansing tools are software programs that help users to clean and organize data. They can be used to remove duplicate records, correct errors, and improve the accuracy of data.
Some of the major players in the data cleansing tools market are IBM, SAS Institute Inc, SAP SE, Trifacta, OpenRefine, Data Ladder, Analytics Canvas(nModal Solutions Inc.), Mo-Data, Prospecta, WinPure Ltd, Symphonic Source Inc, MuleSoft，LLC, MapR Technologies，Inc, RedPoint Global Inc, Validity, Talend, V12 Data.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Data Cleansing Tools Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Data Cleansing Tools Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Data Cleansing Tools Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Data Cleansing Tools Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Data Cleansing Tools Market Size & Forecast, 2018-2028
4.5.1 Data Cleansing Tools Market Size and Y-o-Y Growth
4.5.2 Data Cleansing Tools Market Absolute $ Opportunity
Chapter 5 Global Data Cleansing Tools Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Data Cleansing Tools Market Size Forecast by Type
5.2.1 Cloud
5.2.2 SaaS
5.2.3 Web
5.2.4 Installed
5.2.5 API Integration
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Data Cleansing Tools Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Data Cleansing Tools Market Size Forecast by Applications
6.2.1 Agencies
6.2.2 Large Enterprises
6.2.3 Small and Medium-sized Enterprises (SMEs)
6.2.4 Personal Use
6.2.5 Other
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Data Cleansing Tools Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Data Cleansing Tools Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Data Cleansing Tools Analysis and Forecast
9.1 Introduction
9.2 North America Data Cleansing Tools Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Data Cleansing Tools Market Size Forecast by Type
9.6.1 Cloud
9.6.2 SaaS
9.6.3 Web
9.6.4 Installed
9.6.5 API Integration
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Data Cleansing Tools Market Size Forecast by Applications
9.10.1 Agencies
9.10.2 Large Enterprises
9.10.3 Small and Medium-sized Enterprises (SMEs)
9.10.4 Personal Use
9.10.5 Other
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Data Cleansing Tools Analysis and Forecast
10.1 Introduction
10.2 Europe Data Cleansing Tools Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Data Cleansing Tools Market Size Forecast by Type
10.6.1 Cloud
10.6.2 SaaS
10.6.3 Web
10.6.4 Installed
10.6.5 API Integration
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Data Cleansing Tools Market Size Forecast by Applications
10.10.1 Agencies
10.10.2 Large Enterprises
10.10.3 Small and Medium-sized Enterprises (SMEs)
10.10.4 Personal Use
10.10.5 Other
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Data Cleansing Tools Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Data Cleansing Tools Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Data Cleansing Tools Market Size Forecast by Type
11.6.1 Cloud
11.6.2 SaaS
11.6.3 Web
11.6.4 Installed
11.6.5 API Integration
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Data Cleansing Tools Market Size Forecast by Applications
11.10.1 Agencies
11.10.2 Large Enterprises
11.10.3 Small and Medium-sized Enterprises (SMEs)
11.10.4 Personal Use
11.10.5 Other
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Data Cleansing Tools Analysis and Forecast
12.1 Introduction
12.2 Latin America Data Cleansing Tools Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Data Cleansing Tools Market Size Forecast by Type
12.6.1 Cloud
12.6.2 SaaS
12.6.3 Web
12.6.4 Installed
12.6.5 API Integration
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Data Cleansing Tools Market Size Forecast by Applications
12.10.1 Agencies
12.10.2 Large Enterprises
12.10.3 Small and Medium-sized Enterprises (SMEs)
12.10.4 Personal Use
12.10.5 Other
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Data Cleansing Tools Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Data Cleansing Tools Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Data Cleansing Tools Market Size Forecast by Type
13.6.1 Cloud
13.6.2 SaaS
13.6.3 Web
13.6.4 Installed
13.6.5 API Integration
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Data Cleansing Tools Market Size Forecast by Applications
13.10.1 Agencies
13.10.2 Large Enterprises
13.10.3 Small and Medium-sized Enterprises (SMEs)
13.10.4 Personal Use
13.10.5 Other
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Data Cleansing Tools Market: Competitive Dashboard
14.2 Global Data Cleansing Tools Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 IBM
14.3.2 SAS Institute Inc
14.3.3 SAP SE
14.3.4 Trifacta
14.3.5 OpenRefine
14.3.6 Data Ladder
14.3.7 Analytics Canvas(nModal Solutions Inc.)
14.3.8 Mo-Data
14.3.9 Prospecta
14.3.10 WinPure Ltd
14.3.11 Symphonic Source Inc
14.3.12 MuleSoft，LLC
14.3.13 MapR Technologies，Inc
14.3.14 RedPoint Global Inc
14.3.15 Validity
14.3.16 Talend
14.3.17 V12 Data
