Global Data Wrangling Market: Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028

The global data wrangling market size reached US$ 2.6 Billion in 2022. Looking forward, the market is expected to reach US$ 6.5 Billion by 2028, exhibiting a growth rate (CAGR) of 16.50% during 2022-2028.

Data wrangling refers to the transformation and mapping of unorganized data to gain meaningful analytical insights. It involves cleaning, restructuring and enhancing raw data for data visualization and aggregation using advanced algorithms. Data wrangling tools and solutions can be deployed on-premises or on the cloud. The processed data is further utilized for advanced tasks, such as artificial intelligence (AI), machine learning (ML) and data analytics. In addition, it can also be used for optimizing various business functions, such as finance, marketing, sales, operation and human resources (HR). As a result, data wrangling solutions find extensive applications across various industries, including banking, financial services and insurance (BFSI), healthcare, retail, media, manufacturing and information technology (IT).

Data Wrangling Market Trends

Significant growth in the IT industry, along with the increasing demand for effective tools and software for data processing and cleaning, is one of the key factors creating a positive outlook for the market. Moreover, rising concerns regarding data veracity among the consumers are escalating the demand for data wrangling solutions. Small, medium and large-scale organizations use these solutions to filter low-quality data, visualize distributions and inconsistencies and improve the organizational processes. In line with this, BFSI institutions use data wrangling processes to improve data security, organize semi-structured and unstructured data and optimize online banking portals. Additionally, various technological advancements, such as the deployment of big data and edge computing solutions, are acting as other growth-inducing factors. These technologies facilitate real-time forecasting and monitoring of incidents that may have a direct impact on the functioning of the organizations. Other factors, including rapid digitization, along with extensive research and development (R&D) activities, are anticipated to drive the market toward growth.

Key Market Segmentation

This research provides an analysis of the key trends in each sub-segment of the global data wrangling market report, along with forecasts at the global, regional and country level from 2023-2028. The report has categorized the market based on component, deployment mode, organization size, business function and industry vertical.

Breakup by Component:

• Solution
• Service

Breakup by Deployment Mode:

• On-premises
• Cloud-based

Breakup by Organization Size:

• Large Enterprises
• Small and Medium Enterprises

Breakup by Business Function:

• Finance
• Marketing and Sales
• Operations
• Human Resources

Breakup by Industry Vertical:

• BFSI
• Government and Public Sector
• Healthcare and Life Science
• Retail and E-commerce
• Media and Entertainment
• IT and Telecom
• Manufacturing

Breakup by Region:

• North America
• United States
• Canada
• Asia-Pacific
• China
• Japan
• India
• South Korea
• Australia
• Indonesia
• Europe
• Germany
• France
• United Kingdom
• Italy
• Spain
• Russia
• Latin America
• Brazil
• Mexico
• Middle East and Africa

Competitive Landscape

The competitive landscape of the industry has also been examined along with the profiles of the key players being ALTERYX INC., Altair Engineering Inc., Hitachi Vantara Corporation, Impetus Technologies Inc., International Business Machines Corporation, Oracle Corporation, SAS Institute Inc., Teradata Corporation, TIBCO Software Inc and Trifacta Software Inc.

Key Questions Answered in This Report

1. What was the size of the global data wrangling market in 2022?
2. What is the expected growth rate of the global data wrangling market during 2023-2028?
3. What are the key factors driving the global data wrangling market?
4. What has been the impact of COVID-19 on the global data wrangling market?
5. What is the breakup of the global data wrangling market based on the component?
6. What is the breakup of the global data wrangling market based on the deployment mode?
7. What is the breakup of the global data wrangling market based on organization size?
8. What is the breakup of the global data wrangling market based on the business function?
9. What is the breakup of the global data wrangling market based on the industry vertical?
10. What are the key regions in the global data wrangling market?
11. Who are the key players/companies in the global data wrangling market?