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Data Wrangling Market Report by Component (Solution, Service), Deployment Mode (On-premises, Cloud-based), Organization Size (Large Enterprises, Small and Medium Enterprises), Business Function (Finance, Marketing and Sales, Operations, Human Resources), Industry Vertical (BFSI, Government and Public Sector, Healthcare and Life Science, Retail and E-commerce, Media and Entertainment, IT and Telecom, Manufacturing, and Others), and Region 2024-2032
Report Format: PDF+Excel | Report ID: SR112024A4145
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Market Overview:
The global data wrangling market size reached US$ 3.0 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 10.6 Billion by 2032, exhibiting a growth rate (CAGR) of 14.6% during 2024-2032.
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Report Attribute
|
Key Statistics
|
|---|---|
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Base Year
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2023
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|
Forecast Years
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2024-2032
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Historical Years
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2018-2023
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Market Size in 2023
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US$ 3.0 Billion |
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Market Forecast in 2032
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US$ 10.6 Billion |
| Market Growth Rate 2024-2032 | 14.6% |
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:
IMARC Group 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 2024-2032. Our 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
- Others
Breakup by Region:
- North America
- United States
- Canada
- Asia-Pacific
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Others
- Europe
- Germany
- France
- United Kingdom
- Italy
- Spain
- Russia
- Others
- Latin America
- Brazil
- Mexico
- Others
- 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.
Report Coverage:
| Report Features | Details |
|---|---|
| Base Year of the Analysis | 2023 |
| Historical Period | 2018-2023 |
| Forecast Period | 2024-2032 |
| Units | US$ Billion |
| Segment Coverage | Component, Deployment Mode, Organization Size, Business Function, Industry Vertical, Region |
| Region Covered | Asia Pacific, Europe, North America, Latin America, Middle East and Africa |
| Countries Covered | United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico |
| Companies Covered | 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. |
| Customization Scope | 10% Free Customization |
| Report Price and Purchase Option | Single User License: US$ 3899 Five User License: US$ 4899 Corporate License: US$ 5899 |
| Post-Sale Analyst Support | 10-12 Weeks |
| Delivery Format | PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request) |
The global data wrangling market was valued at US$ 3.0 Billion in 2023.
We expect the global data wrangling market to exhibit a CAGR of 14.6% during 2024-2032.
The rising consumer concerns regarding data veracity, along with the increasing adoption of data wrangling by numerous organizations for filtering low-quality data, visualize distributions, and inconsistencies and improving the organizational processes, are primarily driving the global data wrangling market.
The sudden outbreak of the COVID-19 pandemic has led to the escalating deployment of data wrangling for delivering real-time recommendations to individuals, owing to the changing consumer inclination towards online retail platforms for the purchase of various products and services.
Based on the component, the global data wrangling market can be segmented into solution and service. Currently, solution holds the majority of the total market share.
Based on the deployment mode, the global data wrangling market has been divided into on-premises and cloud-based, where on-premises currently exhibit a clear dominance in the market.
Based on the organization size, the global data wrangling market can be categorized into large enterprises and small and medium enterprises. Currently, large enterprises account for the majority of the global market share.
Based on the business function, the global data wrangling market has been segregated into finance, marketing and sales, operations, and human resources. Among these, operations currently hold the largest market share.
Based on the industry vertical, the global data wrangling market can be bifurcated into BFSI, government and public sector, healthcare and life science, retail and e-commerce, media and entertainment, IT and telecom, manufacturing, and others. Currently, the BFSI industry exhibits a clear dominance in the market.
On a regional level, the market has been classified into North America, Asia-Pacific, Europe, Latin America, and Middle East and Africa, where North America currently dominates the global market.
Some of the major players in the global data wrangling market include 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.
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