The latest report by IMARC Group, titled “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“, offers a comprehensive analysis of the industry, which comprises insights on the global data wrangling market trends. The global 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.
Data wrangling is a crucial process in the realm of data management and analytics. It involves the systematic transformation and cleaning of raw data into a structured and usable format. This meticulous procedure aims to ensure data quality and integrity, making it amenable to analysis and decision-making. Data wrangling encompasses various tasks, such as data cleaning, normalization, and integration from multiple sources, which are fundamental in preparing data for further analysis or machine learning applications. In today's data-driven business landscape, the importance of data wrangling cannot be overstated. At present, data wrangling is gaining immense traction due to the growing need for reliable insights and informed decisions from organizations across industries.
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Data Wrangling Market Trends and Drivers:
The global data wrangling market is primarily driven by the exponential growth of data generated by businesses. Additionally, companies are increasingly realizing that unlocking the value of their data necessitates streamlined data preparation processes. In line with this, the integration of artificial intelligence (AI) and machine learning (ML) algorithms into data-wrangling tools has enhanced automation and efficiency, reduced manual intervention, and accelerated data transformation, thus propelling market growth. Moreover, the compliance landscape, marked by regulations like GDPR and CCPA, has compelled organizations to adopt robust data-wrangling strategies to ensure data privacy and compliance. Along with this, the rising need for self-service data-wrangling solutions that empower business users to manipulate and prepare data without extensive IT involvement is contributing to market growth.
Report Segmentation:
The report has segmented the market into the following categories:
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
Market 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 with Key Player:
- 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
- Trifacta Software Inc.
Note: If you need specific information that is not currently within the scope of the report, we will provide it to you as a part of the customization.
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