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

Published Date: November - 2024 | Publisher: MIR | No of Pages: 320 | Industry: ICT | Format: Report available in PDF / Excel Format

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

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

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.

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Market Segmentation

Data Wrangling

Based on Component, the market is segmented into Tools and

Market players


MIR Segment1

Recent Development

  • In November,2022 Alteryx resumed its cloudpush it to the early-access release of a SaaS version of Designer for theAlteryx Analytics Cloud. According to the company, early access of SaaS versionis accessible to hundreds of clients representing thousands of users, withbroad availability planned in early 2023. Furthermore, while Alteryx has notreleased price information for Designer Cloud, existing customers will not berequired to pay any additional fees for the new edition of Designer.
  • In January 2022, Alteryx, a producer of dataanalytics tools, announced its intention to purchase Trifacta, a provider ofdata wrangling solutions. Alteryx will pay Trifacta USD400 million in cash aswell as USD75 million in equity-based retention incentives for Trifactaemployees under the terms of the agreement, which has not yet been finalized.

Attribute

Details

Base Year

2022

Historic Data

2018 â€“ 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

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