Data Wrangling Market

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from $4,900	182 Pages	TechSci Research	September, 2023	TCSI18181416

Best Price Guarantee
Price	from $4,900
Length	182 Pages
Publisher	TechSci Research
Published Date	September, 2023
SKU	TCSI18181416

Data Wrangling Market–Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028Segmented By Component (Tools and Service), By Deployment Model (On Cloud, On Premises), By Enterprise Model (Small and medium-Sized, Large), By End User (IT and Telecommunication, Retail and BFSI,) By Region

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
United States
Canada
Mexico
Asia-Pacific
India
China
Japan
South Korea
Australia
Singapore
Malaysia
Europe
Germany
United Kingdom
France
Russia
Switzerland
Belgium
Italy
South America
Brazil
Argentina
Colombia
Peru
Chile
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.

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).

Please Note: Report will be updated with the latest data and delivered to you within 3-5 working days of order. Single User license will be delivered in PDF format without printing rights

1. Service Overview
2. Research Methodology
3. Impact of COVID-19 on Global Data Wrangling Market
4. Executive Summary
5. 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 Recommendations
16. About Us & Disclaimer