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Data Wrangling Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028

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  • 182 Pages
  • September 2023
  • Region: Global
  • TechSci Research
  • ID: 5877654
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Global Data Wrangling Market is anticipated to grow at a robust pace in the forecast period, 2024-2028 owing to an increase in demand for web-based services such as Software as a Service (SaaS) from Data Wrangling providers

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The Global Data Wrangling Market is anticipated to grow at a robust pace in the forecast period, 2024-2028 owing to an increase in demand for web-based services such as Software as a Service (SaaS) from Data Wrangling providers. Data wrangling, also known as data cleaning, cleansing, remediation, munging, is the first and most critical stage in comprehending and operationalizing data insights. Connecting to data sources, reformatting the information to ensure consistency, eliminating duplicates, integrating dissimilar sources, and filtering out unnecessary 'noise' in huge datasets are all part of the process.

Data analytics teams frequently spend 50-80% of their time wrangling data and preparing it for use in machine learning workflows, report production, and other related operations. Data wrangling or data munging is basically the process of changing and mapping information from raw data shape into another configuration with the goal of influencing it and making it more suitable and significant for an assortment of downstream purposes for example, analytics.

The factors such as rising concerns about information loss and theft, the upward trends of Bring Your Own Device (BYOD) and enterprise mobility are expected to emerge as the significant factors accelerating the growth of global data wrangling market. In addition to this, velocity of data and volume of data and technological advancements in AI and MI technologies, will further aggravate the growth of the global data wrangling market. However, issues related to data quality restrain the market.

Self-service data preparation model

The self-service data preparation paradigm is one of the primary drivers driving the data wrangling industry growth. This methodology enables enterprises to clean data sets without involving data scientists. This element has effectively allowed an organization's leaders to derive business insights without the intrusion of IT personnel. Furthermore, the relevance of big data across verticals, as well as the integration of artificial intelligence and machine learning technologies with data wrangling tools, is expected to drive the global data wrangling market forward. This is assisting in the increased usage of data wrangling in all industries, which will drive market growth throughout the forecast period.

Upward trends of Bring Your Own Device (BYOD) propelling the market

Bring Your Own Device (BYOD) and business mobility trends are predicted to emerge as important drivers fueling the growth of the data wrangling industry. Furthermore, the velocity and volume of data, as well as technical breakthroughs in AI and MI technologies, will exacerbate the growth of the data wrangling industry. However, difficulties with data quality act as a growth constraint for the sector. During the forecast period, the BYOD is propelling the growth of Global Data Wrangling Market.

Market Segmentation

Global Data Wrangling is segmented by component, by deployment model, by enterprise model, by end user, by region and competitive landscape. Based on Component, the market is segmented into Tools and Service. Based on Deployment model, the market is segmented into On Cloud and On Premises, Based on Enterprise model, the market is segmented into Small and medium-Sized, and Large. Based on End User, the market is segmented into IT and Telecommunication, Retail, and BFSI.

Market players

Major market players in the global data wrangling market are Trifacta Software Inc, Datawatch Corporation, TIBCO Software Inc, Teradata Corporation, Oracle Corporation, Talend SA, SAS Institute Inc, Alteryx Inc, Paxata Inc, Hortonworks Inc.

Report Scope

In this report, the Global Data Wrangling Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Data Wrangling Market, by Component:

  • Tools
  • Service

Data Wrangling Market, by Deployment model:

  • On Cloud
  • On Premises

Data Wrangling Market, by Enterprise model:

  • Small and medium-Sized
  • Large

Data Wrangling Market, by End User:

  • IT and Telecommunication
  • Retail
  • BFSI

Data Wrangling Market, by Region:

  • North America
  • Asia-Pacific
  • Europe
  • South America
  • Middle East Asia & Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Data Wrangling Market.

Available Customizations

The following customization options are available for the report:
  • Detailed analysis and profiling of additional market players (up to five).


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Table of Contents

1. Service Overview2. Research Methodology3. Impact of COVID-19 on Global Data Wrangling Market4. Executive Summary5. Voice of Customers
6. Global Data Wrangling Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Component (Tools and Service)
6.2.2. By Deployment model (On Cloud, On Premises)
6.2.3. By Enterprise model (Small-Medium Enterprise, Large)
6.2.4. By End User (IT and Telecommunication, Retail, BFSI)
6.2.5. By Region
6.3. By Company
6.4. Market Map
7. North America Data Wrangling Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Component
7.2.2. By Deployment model
7.2.3. By Enterprise model
7.2.4. By End User
7.2.5. By Country
7.3. North America: Country Analysis
7.3.1. United States Data Wrangling Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Component
7.3.1.2.2. By Deployment model
7.3.1.2.3. By Enterprise model
7.3.1.2.4. By End User
7.3.2. Canada Data Wrangling Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Component
7.3.2.2.2. By Deployment model
7.3.2.2.3. By Enterprise model
7.3.2.2.4. By End User
7.3.3. Mexico Data Wrangling Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Component
7.3.3.2.2. By Deployment model
7.3.3.2.3. By Enterprise model
7.3.3.2.4. By End User
8. Asia-Pacific Data Wrangling Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Component
8.2.2. By Deployment model
8.2.3. By End User
8.2.4. By Country
8.3. Asia-Pacific: Country Analysis
8.3.1. China Data Wrangling Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Component
8.3.1.2.2. By Deployment model
8.3.1.2.3. By Enterprise model
8.3.1.2.4. By End User
8.3.2. India Data Wrangling Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Component
8.3.2.2.2. By Deployment model
8.3.2.2.3. By Enterprise model
8.3.2.2.4. By End User
8.3.3. Japan Data Wrangling Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Component
8.3.3.2.2. By Deployment model
8.3.3.2.3. By Enterprise model
8.3.3.2.4. By End User
8.3.4. South Korea Data Wrangling Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Component
8.3.4.2.2. By Deployment model
8.3.4.2.3. By Enterprise model
8.3.4.2.4. By End User
8.3.5. Australia Data Wrangling Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Component
8.3.5.2.2. By Deployment model
8.3.5.2.3. By Enterprise model
8.3.5.2.4. By End User
8.3.6. Singapore Data Wrangling Market Outlook
8.3.6.1. Market Size & Forecast
8.3.6.1.1. By Value
8.3.6.2. Market Share & Forecast
8.3.6.2.1. By Component
8.3.6.2.2. By Deployment model
8.3.6.2.3. By Enterprise model
8.3.6.2.4. By End User
8.3.7. Malaysia Data Wrangling Market Outlook
8.3.7.1. Market Size & Forecast
8.3.7.1.1. By Value
8.3.7.2. Market Share & Forecast
8.3.7.2.1. By Component
8.3.7.2.2. By Deployment model
8.3.7.2.3. By Enterprise model
8.3.7.2.4. By End User
9. Europe Data Wrangling Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Component
9.2.2. By Deployment model
9.2.3. By Enterprise model
9.2.4. By End User
9.3. Europe: Country Analysis
9.3.1. Germany Data Wrangling Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Component
9.3.1.2.2. By Deployment model
9.3.1.2.3. By Enterprise model
9.3.1.2.4. By End User
9.3.2. United Kingdom Data Wrangling Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Component
9.3.2.2.2. By Deployment model
9.3.2.2.3. By Enterprise model
9.3.2.2.4. By End User
9.3.3. France Data Wrangling Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Component
9.3.3.2.2. By Deployment model
9.3.3.2.3. By Enterprise model
9.3.3.2.4. By End User
9.3.4. Russia Data Wrangling Market Outlook
9.3.4.1. Market Size & Forecast
9.3.4.1.1. By Value
9.3.4.2. Market Share & Forecast
9.3.4.2.1. By Component
9.3.4.2.2. By Deployment model
9.3.4.2.3. By Enterprise model
9.3.4.2.4. By End User
9.3.5. Switzerland Data Wrangling Market Outlook
9.3.5.1. Market Size & Forecast
9.3.5.1.1. By Value
9.3.5.2. Market Share & Forecast
9.3.5.2.1. By Component
9.3.5.2.2. By Deployment model
9.3.5.2.3. By Enterprise model
9.3.5.2.4. By End User
9.3.6. Belgium Data Wrangling Market Outlook
9.3.6.1. Market Size & Forecast
9.3.6.1.1. By Value
9.3.6.2. Market Share & Forecast
9.3.6.2.1. By Component
9.3.6.2.2. By Deployment model
9.3.6.2.3. By Enterprise model
9.3.6.2.4. By End User
9.3.7. Italy Data Wrangling Market Outlook
9.3.7.1. Market Size & Forecast
9.3.7.1.1. By Value
9.3.7.2. Market Share & Forecast
9.3.7.2.1. By Component
9.3.7.2.2. By Deployment model
9.3.7.2.3. By Enterprise model
9.3.7.2.4. By End User
10. South America Data Wrangling Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Component
10.2.2. By Deployment model
10.2.3. By Enterprise model
10.2.4. By End User
10.2.5. By Country
10.3. South America: Country Analysis
10.3.1. Brazil Data Wrangling Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Component
10.3.1.2.2. By Deployment model
10.3.1.2.3. By Enterprise model
10.3.1.2.4. By End User
10.3.2. Argentina Data Wrangling Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Component
10.3.2.2.2. By Deployment model
10.3.2.2.3. By Enterprise model
10.3.2.2.4. By End User
10.3.3. Colombia Data Wrangling Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Component
10.3.3.2.2. By Deployment model
10.3.3.2.3. By Enterprise model
10.3.3.2.4. By End User
10.3.4. Peru Data Wrangling Market Outlook
10.3.4.1. Market Size & Forecast
10.3.4.1.1. By Value
10.3.4.2. Market Share & Forecast
10.3.4.2.1. By Component
10.3.4.2.2. By Deployment model
10.3.4.2.3. By Enterprise model
10.3.4.2.4. By End User
10.3.5. Chile Data Wrangling Market Outlook
10.3.5.1. Market Size & Forecast
10.3.5.1.1. By Value
10.3.5.2. Market Share & Forecast
10.3.5.2.1. By Component
10.3.5.2.2. By Deployment model
10.3.5.2.3. By Enterprise model
10.3.5.2.4. By End User
11. Middle East & Africa Data Wrangling Market Outlook
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Component
11.2.2. By Deployment model
11.2.3. By Enterprise model
11.2.4. By Country
11.3. Middle East & Africa: Country Analysis
11.3.1. Saudi Arabia Data Wrangling Market Outlook
11.3.1.1. Market Size & Forecast
11.3.1.1.1. By Value
11.3.1.2. Market Share & Forecast
11.3.1.2.1. By Component
11.3.1.2.2. By Deployment model
11.3.1.2.3. By Enterprise model
11.3.1.2.4. By End User
11.3.2. South Africa Data Wrangling Market Outlook
11.3.2.1. Market Size & Forecast
11.3.2.1.1. By Value
11.3.2.2. Market Share & Forecast
11.3.2.2.1. By Component
11.3.2.2.2. By Deployment model
11.3.2.2.3. By Enterprise model
11.3.2.2.4. By End User
11.3.3. UAE Data Wrangling Market Outlook
11.3.3.1. Market Size & Forecast
11.3.3.1.1. By Value
11.3.3.2. Market Share & Forecast
11.3.3.2.1. By Component
11.3.3.2.2. By Deployment model
11.3.3.2.3. By Enterprise model
11.3.3.2.4. By End User
11.3.4. Israel Data Wrangling Market Outlook
11.3.4.1. Market Size & Forecast
11.3.4.1.1. By Value
11.3.4.2. Market Share & Forecast
11.3.4.2.1. By Component
11.3.4.2.2. By Deployment model
11.3.4.2.3. By Enterprise model
11.3.4.2.4. By End User
11.3.5. Turkey Data Wrangling Market Outlook
11.3.5.1. Market Size & Forecast
11.3.5.1.1. By Value
11.3.5.2. Market Share & Forecast
11.3.5.2.1. By Component
11.3.5.2.2. By Deployment model
11.3.5.2.3. By Enterprise model
11.3.5.2.4. By End User
12. Market Dynamics
12.1. Drivers
12.2. Challenges
13. Market Trends & Developments
14. Company Profiles
14.1. Trifacta Software Inc
14.1.1. Business Overview
14.1.2. Key Revenue and Financials
14.1.3. Recent Developments
14.1.4. Key Personnel
14.1.5. Key Products/Services Offered
14.2. Datawatch Corporation
14.2.1. Business Overview
14.2.2. Key Revenue and Financials
14.2.3. Recent Developments
14.2.4. Key Personnel
14.2.5. Key Products/Services Offered
14.3. TIBCO Software Inc
14.3.1. Business Overview
14.3.2. Key Revenue and Financials
14.3.3. Recent Developments
14.3.4. Key Personnel
14.3.5. Key Products/Services Offered
14.4. Teradata Corporation
14.4.1. Business Overview
14.4.2. Key Revenue and Financials
14.4.3. Recent Developments
14.4.4. Key Personnel
14.4.5. Key Products/Services Offered
14.5. Oracle Corporation
14.5.1. Business Overview
14.5.2. Key Revenue and Financials
14.5.3. Recent Developments
14.5.4. Key Personnel
14.5.5. Key Products/Services Offered
14.6. SAS Institute Inc
14.6.1. Business Overview
14.6.2. Key Revenue and Financials
14.6.3. Recent Developments
14.6.4. Key Personnel
14.6.5. Key Products/Services Offered
14.7. Talend SA
14.7.1. Business Overview
14.7.2. Key Revenue and Financials
14.7.3. Recent Developments
14.7.4. Key Personnel
14.7.5. Key Products/Services Offered
14.8. Alteryx Inc
14.8.1. Business Overview
14.8.2. Key Revenue and Financials
14.8.3. Recent Developments
14.8.4. Key Personnel
14.8.5. Key Products/Services Offered
14.9. Paxata Inc
14.9.1. Business Overview
14.9.2. Key Revenue and Financials
14.9.3. Recent Developments
14.9.4. Key Personnel
14.9.5. Key Products/Services Offered
14.10. Hortonworks Inc
14.10.1. Business Overview
14.10.2. Key Revenue and Financials
14.10.3. Recent Developments
14.10.4. Key Personnel
14.10.5. Key Products/Services Offered
15. Strategic Recommendations16. About the Analyst & Disclaimer

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • Trifacta Software Inc.
  • Datawatch Corporation
  • TIBCO Software Inc.
  • Teradata Corporation
  • Oracle Corporation
  • SAS Institute Inc.
  • Talend SA
  • Alteryx Inc.
  • Paxata Inc.
  • Hortonworks Inc.

Table Information

Report AttributeDetails
No. of Pages182
PublishedSeptember 2023
Forecast Period2022 - 2028
Estimated Market Value ( USD ) in 2022 $ 2.75 Billion
Forecasted Market Value ( USD ) by 2028 $ 4.94 Billion
Compound Annual Growth Rate9.8%
Regions CoveredGlobal

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