Market Overview:
The global data cleaning tools market is expected to grow at a CAGR of 10.8% from 2018 to 2030. The growth of the market can be attributed to the increasing demand for data cleaning tools from small and medium enterprises (SMEs) and large enterprises. Additionally, the growing trend of cloud-based data cleaning tools is also contributing to the growth of the global data cleaning tools market. However, lack of awareness about data cleansing among end users is restraining the growth of this market.
Product Definition:
Data cleansing is the process of identifying and correcting inaccuracies in data. Data cleaning tools are used to automate this process.
The importance of data cleaning tools is that they help to ensure the accuracy of data. This is important because inaccurate data can lead to incorrect conclusions and decisions being made.
Cloud-based:
Cloud-based data cleaning tools are software solutions that are hosted on the cloud and can be accessed by multiple users from different locations. These tools help in enhancing data quality by performing various operations such as detection of anomalies, removal of noise, and classification of objects. The growing adoption rate for big data analytics is expected to boost the demand for these solutions over the forecast period.
The major driving factors responsible for growth in this market include increasing investments made by companies towards big data analytics.
On-premises:
On-premises is a term used for data processing that takes place within the organization's network. The information being processed is under the control of the organization and can only be accessed by authorized personnel. On-premises solutions are installed and configured at an organization's headquarters, which allows it to have more control over its systems as well as data.
Application Insights:
The large enterprises segment dominated the global data cleaning tools market in 2017, accounting for over 60% of the overall revenue. The growth can be attributed to factors such as growing IT infrastructure and applications across various industries. For instance, according to a study published by Gartner Inc., it is estimated that around 40% of companies have more than 50 million lines of code in their IT infrastructures. This has led to an increase in demand for data cleaning tools within large enterprises as they are prone to accumulate more data and generate more leads/suspects from raw information due to their complex structure.
The SMEs segment is expected register significant growth over the forecast period owing to increasing penetration of cloud-based services among small businesses and MNCs with limited internal resources for managing their IT infrastructure & applications.
Regional Analysis:
North America dominated the global market in 2017. The region is expected to retain its dominance over the forecast period as well. This can be attributed to factors such as increasing government initiatives, rising awareness among enterprises about data cleaning and cleansing processes, and growing demand for cloud-based services from various sectors including healthcare, retail, telecom etc. Moreover, a large number of SMEs in North America are focusing on implementing data cleaning solutions owing to limited resources available for data analysis process.
Asia Pacific is expected to grow at a lucrative rate during the forecast period owing to increasing adoption of digitalization across various industries in countries such as China and India which has resulted into massive amounts of unstructured information stored across devices (PCs/Laptops/Tablets) and networks (LAN/WAN).
Growth Factors:
- Increasing demand for data-driven decision making: The need for data-driven decision making is increasing due to the ever-growing volume of data and the need to make faster and better decisions. Data cleaning is essential to enable accurate analysis of data, which can help organizations make better decisions.
- Proliferation of big data technologies: Big data technologies are helping organizations store, process, and analyze large volumes of unstructured data more effectively. This is resulting in an increased demand for tools that can help cleanse and prepare bigdata for analysis.
- Growing focus on regulatory compliance: Regulatory compliance requirements are forcing organizations to cleanse their datasets more thoroughly than ever before in order to meet regulatory standards. Data cleansing tools provide a fast and efficient way to achieve this goal while minimizing the risk of noncompliance penalties.
Scope Of The Report
Report Attributes
Report Details
Report Title
Data Cleaning Tools Market Research Report
By Type
Cloud-based, On-premises
By Application
Small and Medium Enterprises (SMEs), Large Enterprises
By Companies
Dundas BI, IBM, Sisense, Birst, Domo, ClicData, Intellicus, Halo, Corporater, Astera Software
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
196
Number of Tables & Figures
138
Customization Available
Yes, the report can be customized as per your need.
Global Data Cleaning Tools Market Report Segments:
The global Data Cleaning Tools market is segmented on the basis of:
Types
Cloud-based, On-premises
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
Small and Medium Enterprises (SMEs), Large Enterprises
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:
- Dundas BI
- IBM
- Sisense
- Birst
- Domo
- ClicData
- Intellicus
- Halo
- Corporater
- Astera Software
Highlights of The Data Cleaning 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-based
- On-premises
- By Application:
- Small and Medium Enterprises (SMEs)
- Large Enterprises
- 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 Cleaning 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.
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- Correctly Positioning New Products
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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 cleaning tools are software programs that help to clean and organize data. They can be used to remove invalid entries, correct spelling mistakes, and merge duplicate records.
Some of the key players operating in the data cleaning tools market are Dundas BI, IBM, Sisense, Birst, Domo, ClicData, Intellicus, Halo, Corporater, Astera Software.
The data cleaning tools market is expected to grow at a compound annual growth rate of 10.8%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Data Cleaning 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 Cleaning Tools Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Data Cleaning 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 Cleaning 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 Cleaning Tools Market Size & Forecast, 2018-2028
4.5.1 Data Cleaning Tools Market Size and Y-o-Y Growth
4.5.2 Data Cleaning Tools Market Absolute $ Opportunity
Chapter 5 Global Data Cleaning 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 Cleaning Tools Market Size Forecast by Type
5.2.1 Cloud-based
5.2.2 On-premises
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Data Cleaning 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 Cleaning Tools Market Size Forecast by Applications
6.2.1 Small and Medium Enterprises (SMEs)
6.2.2 Large Enterprises
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Data Cleaning 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 Cleaning 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 Cleaning Tools Analysis and Forecast
9.1 Introduction
9.2 North America Data Cleaning 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 Cleaning Tools Market Size Forecast by Type
9.6.1 Cloud-based
9.6.2 On-premises
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 Cleaning Tools Market Size Forecast by Applications
9.10.1 Small and Medium Enterprises (SMEs)
9.10.2 Large Enterprises
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 Cleaning Tools Analysis and Forecast
10.1 Introduction
10.2 Europe Data Cleaning 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 Cleaning Tools Market Size Forecast by Type
10.6.1 Cloud-based
10.6.2 On-premises
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 Cleaning Tools Market Size Forecast by Applications
10.10.1 Small and Medium Enterprises (SMEs)
10.10.2 Large Enterprises
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 Cleaning Tools Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Data Cleaning 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 Cleaning Tools Market Size Forecast by Type
11.6.1 Cloud-based
11.6.2 On-premises
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 Cleaning Tools Market Size Forecast by Applications
11.10.1 Small and Medium Enterprises (SMEs)
11.10.2 Large Enterprises
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 Cleaning Tools Analysis and Forecast
12.1 Introduction
12.2 Latin America Data Cleaning 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 Cleaning Tools Market Size Forecast by Type
12.6.1 Cloud-based
12.6.2 On-premises
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 Cleaning Tools Market Size Forecast by Applications
12.10.1 Small and Medium Enterprises (SMEs)
12.10.2 Large Enterprises
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 Cleaning Tools Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Data Cleaning 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 Cleaning Tools Market Size Forecast by Type
13.6.1 Cloud-based
13.6.2 On-premises
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 Cleaning Tools Market Size Forecast by Applications
13.10.1 Small and Medium Enterprises (SMEs)
13.10.2 Large Enterprises
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 Cleaning Tools Market: Competitive Dashboard
14.2 Global Data Cleaning Tools Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Dundas BI
14.3.2 IBM
14.3.3 Sisense
14.3.4 Birst
14.3.5 Domo
14.3.6 ClicData
14.3.7 Intellicus
14.3.8 Halo
14.3.9 Corporater
14.3.10 Astera Software
