According to a new report, published by KBV research, The Global Data Wrangling Market size is expected to reach $7.60 billion by 2031, rising at a market growth of 13.9% CAGR during the forecast period.
The On-premise segment is poised to grow at a CAGR of 13.6 % during the forecast period. Enterprises with strict regulatory requirements often prioritize on-premise deployments to ensure their data remains within internal networks, reducing exposure to cyber threats and third-party risks. Furthermore, enterprises engaged in extensive, real-time data processing tend to favor on-premise solutions owing to their low latency, superior performance, and seamless integration with existing IT infrastructure.
The Solution segment captured the maximum revenue in the Global Data Wrangling Market by Component in 2023, thereby, achieving a market value of $5.3 billion by 2031. Businesses increasingly prefer full-suite solutions that eliminate the need for manual data preparation, ensuring faster processing, enhanced accuracy, and compliance with data governance regulations. The rapid adoption of AI-driven data wrangling, cloud-based analytics, and real-time data processing has fueled the demand for scalable, automated, and industry-specific solutions.
The Sales & Marketing segment is experiencing a CAGR of 13 % during the forecast period. Organizations rely on data wrangling tools to process sales performance metrics, CRM data, customer sentiment, and behavioral insights from multiple sources, including social media, web traffic, and e-commerce platforms. With the growth of personalized marketing and AI-driven recommendation engines, companies must wrangle vast amounts of structured and unstructured data to create targeted campaigns, optimize pricing strategies, and improve customer engagement.
The Large Enterprises segment led the maximum revenue in the Global Data Wrangling Market by Organization Size in 2023, thereby, achieving a market value of $5.5 billion by 2031. Large corporations generate and process massive volumes of structured and unstructured data, requiring advanced wrangling solutions to ensure data consistency, integration, and accuracy. These enterprises operate across multiple geographies and industries, making real-time data transformation, compliance with global regulations, and AI-driven automation critical for their operations.
The BFSI segment is growing at a CAGR of 11.9 % during the forecast period. Financial institutions process massive datasets from transactions, customer profiles, loan applications, and investment portfolios, requiring data wrangling solutions to ensure data accuracy, detect anomalies, and enhance AI-driven risk assessments. With regulations such as Basel III, PCI-DSS, and GDPR, BFSI firms must maintain structured, traceable, and secure datasets to prevent compliance violations.
Full Report: https://www.kbvresearch.com/data-wrangling-market/
The North America region dominated the Global Data Wrangling Market by Region in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $3.3 billion by 2031. The Europe region is anticipated to grow at a CAGR of 13.7% during (2024 - 2031). Additionally, The Asia Pacific region would witness a CAGR of 14.9% during (2024 - 2031).
By Deployment Mode
By Component
By Business Function
By Organization Size
By Vertical
Unique Offerings 
