Data Wrangling Market Size, Share, and COVID-19 Impact Analysis, By Deployment (Cloud, On-premise), By Enterprise Type (SMEs, Large Enterprise), By End-user (BFSI, Government, Retail, Healthcare, IT & Telecom, Others), and Regional Forecast, 2024-2032

Data wrangling or data munging is the process of modifying information in raw data form and mapping it into a different configuration, intending to use it for various downstream purposes.

Organizations use analytics solutions to recognize data patterns and identify and analyze problems related to inconsistent data. Data wrangling tools help companies cleanse, enrich, and structure their data. These tools give organizations greater control over their systems.

Growing concerns about information loss or theft, the increasing trend of enterprise mobility, and Bring Your Own Device (BYOD) are expected to be key factors accelerating the growth of the data wrangling market. Moreover, the speed and volume of data and technological advancements in AI and MI techniques further complicate the growth of the data wrangling market.

Impact of COVID-19 on the Data Wrangling Market

The COVID-19 pandemic has created a data flood. Countries and cities struggle to hold the extent and scale of the problem. Technology companies and data aggregators used on-site data from cell towers and phone apps to enforce social distancing and fill the gaps with dashboards that measure and track contacts. Apps used Bluetooth, modelling efforts, and geolocation services to predict hospital needs and epidemic burden. The bad data generated in this process might lead to serious failures that affect millions. Data wrangling is utilized to clean, structure, and enrich raw data into the desired format so users can make better decisions quickly and gain more accurate insights.

Thus, the need for data wrangling in COVID-19 created growth opportunity for the market.

Key Insights

The report will cover the following key insights:

• Micro & macroeconomic indicators


• Drivers, restraints, trends, and opportunities


• Business strategies adopted by the players


• Impact of COVID-19 on the data wrangling market


• Consolidated SWOT analysis of key players

Analysis by End-user

Based on end-user, the data wrangling market is segmented into BFSI, government, retail, healthcare, IT & telecom, and others (media & entertainment, transportation).

BFSI is expected to hold the largest share in the market. BFSI increasingly uses data wrangler to streamline processes, help agents inform agents on how best to interact with customers online, and reduce data preparation time by 15x. For instance,

• The Royal Bank of Scotland extracts Big Data from online customer chats, especially unstructured and semi-structured data, serving over 30 million customers worldwide and ensuring they receive first-class service. Such introductions are expected to surge the demand for data wranglers during the forecast period.

Further, with an increasing trend of digitization, banks and financial institutions have started digitizing their banking services through online portals, enabling them to serve their customers better. This has led to the generation of Big Data. It has become essential for such institutions to have solutions such as data wrangling that will allow the generated data to be structured systematically.

Regional Analysis

The global data wrangling market is studied across North America, Europe, Asia Pacific, the Middle East & Africa, and South America.

North America dominates the data wrangling market as it continues to be the most significant contributor to adopting data wrangling tools and services. The region experienced tremendous growth along with the application of Big Data with the emergence of Industry 4.0 services. Additionally, Big Data is a massive phenomenon in the U.S., with companies across industries benefiting from collecting, analyzing, and manipulating vast amounts of data from various sources.

The Obama administration's Big Data research and development initiative has boosted the growth of Big Data in the U.S. As part of this program, six federal agencies and the department will spend USD 200 million to improve the tools and technology needed to access, organize, and extract findings from Big Data.

The distribution of the data wrangling market by region of origin is as follows:

• Asia Pacific – 17%


• North America – 48%


• Europe – 21%


• Middle East and Africa – 9%


• South America – 5%

Key Players Covered

The key players in the market include Trifacta, Data watch Systems, Inc., Oracle Corporation, Talend, TIBCO Software, Inc., Hitachi Ventara Corporation, Cooladata, Rapid Insight, Informatica, Alteryx, Inc., SAS Institute, Inc., Zaloni, Onedot AG, and others.

Segmentation

Key Industry Developments

• January 2022: Alteryx announced the acquisition of Trifacta, a provider of data wrangling solutions. This acquisition complements the Alteryx family of products specifically for cloud/SaaS data preparation tools.


• April 2021: Trifacta launched modern integration that enables data wrangling. This updated tool helps customers work directly with Google BigQuery along with two new integrations that improve data preparation.