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Report Description

Report Description

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.

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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.

Recent Development

  • In November,2022 Alteryx resumed its cloud push it to the early-access release of a SaaS version of Designer for the Alteryx Analytics Cloud. According to the company, early access of SaaS version is accessible to hundreds of clients representing thousands of users, with broad availability planned in early 2023. Furthermore, while Alteryx has not released price information for Designer Cloud, existing customers will not be required to pay any additional fees for the new edition of Designer.
  • In January 2022, Alteryx, a producer of data analytics tools, announced its intention to purchase Trifacta, a provider of data wrangling solutions. Alteryx will pay Trifacta USD400 million in cash as well as USD75 million in equity-based retention incentives for Trifacta employees under the terms of the agreement, which has not yet been finalized.

Attribute

Details

Base Year

2022

Historic Data

2018 – 2021

Estimated Year

2023

Forecast Period

2024 – 2028

Quantitative Units

Revenue in USD Million and CAGR for 2018-2022 and 20232028

Report coverage

Revenue forecast, company share, growth factors, and trends

Segments covered

·         Component

·         Deployment model

·         Enterprise model

·         End User

·         Region

Regional scope

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

Country scope

United States; Canada; Mexico; China; Indian; Japan; South Korea; Australia; Singapore; Malaysia; Germany; United Kingdom; France; Russia, Switzerland; Belgium; Italy; Brazil; Colombia; Argentina; Peru; Chile; Africa, Saudi Arabia; South Africa; UAE; Israel; Turkey

Key companies profiled

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

Customization scope

10% free report customization with purchase. Addition or alteration to country, regional & segment scope.

Pricing and purchase options

Avail customized purchase options to meet your exact research needs. Explore purchase options

Delivery Format

PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)

 

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:

o  Tools

o  Service

        ·         Data Wrangling Market, By Deployment model:

o   On Cloud

o   On Premises  

        ·         Data Wrangling Market, By Enterprise model:

o   Small and medium-Sized

o   Large

        ·         Data Wrangling Market, By End User:

o   IT and Telecommunication

o   Retail

o   BFSI

        ·         Data Wrangling Market, By Region:

o   North America

§  United States

§  Canada

§  Mexico

o   Asia-Pacific

§   India

§   China

§   Japan

§   South Korea

§   Australia

§   Singapore

§   Malaysia

o   Europe

§  Germany

§  United Kingdom

§  France

§  Russia

§  Switzerland

§  Belgium

§  Italy

o   South America

§  Brazil

§  Argentina

§  Colombia

§  Peru

§  Chile

o   Middle East Asia & Africa

§  Saudi Arabia

§  South Africa

§  UAE

§  Israel

§  Turkey

Competitive Landscape

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

Available Customizations:

Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

The Global Data Wrangling Market is an upcoming report to be released soon. If you wish an early delivery of this report or want to confirm the date of release, please contact us at [email protected]

Table of content

Table of content

1.    Service Overview

2.    Research Methodology

3.    Impact of COVID-19 on Global Data Wrangling Market

4.    Executive Summary

5.    Voice of Customers

5.1.  Brand Awareness

5.2.  Factors Considered while Selecting Vendor

5.3.  Key Satisfaction Level

5.4.  Major Challenges Faced

5.5.  Technological Awareness

5.6.  Key Services in Use

5.7.  Frequency of Usage of Data Wrangling

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

6.2.6.  By Company

6.3.  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

12.1.1.   There is an increasing demand for data integration solutions and technologies.

12.1.2.   Increasing usage of hybrid data integration.

12.1.3.   Increasingly strict data integration laws and compliance.

12.2. Challenges

12.2.1.   The high cost of Data Wrangling is expected to stifle market growth. 

12.2.2.   Risks associated with new technologies.

13. Market Trends & Developments

13.1.     Data integration is being increasingly adopted by departments such as Operations and Finance.

13.2.     AI and machine learning (ML) integration in the development of data integration solutions.

13.3.     Increased adoption of Data Wrangling in BFSI sector.

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 Product/End-user Industry

14.1.6.   SWOT Analysis

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 Product/Services

14.2.6.   SWOT Analysis

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 Product/Services

14.3.6.   SWOT Analysis

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 Product/Services

14.4.6.   SWOT Analysis

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 Product/Services

14.5.6.   SWOT Analysis

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 Product/Services

14.6.6.   SWOT Analysis

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 Product/Services

14.7.6.   SWOT Analysis

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 Product/Services

14.8.6.   SWOT Analysis

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 Product/Services

14.9.6.   SWOT Analysis

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 Product/Services

14.10.6.   SWOT Analysis

15. Strategic Recommendations

15.1.     Key focus on North America.

15.2.     Key focus towards rises in market demand for data wrangling

16. About Us & Disclaimer

Figures and Tables

Frequently asked questions

Frequently asked questions

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

The major market segments in the global data wrangling market are Component, Deployment model, Enterprise model and End User.

North America is the fastest-growing region in the global data wrangling market due to increasing internet penetration.

Data wrangling, also known as data cleaning, data remediation, or data munging, refers to a set of methods used to convert raw data into more usable representations. The specific procedures used vary from project to project, depending on the data being used and the aim being sought.

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