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Outlook on the Data Wrangling Platform Market: Major Segments, Strategic Developments, and Leading Companies
Data Wrangling Platform Market
Growth Outlook and Market Size of the Data Wrangling Platform Market
The data wrangling platform market is anticipated to expand rapidly, reaching a valuation of $10.65 billion by 2030. This corresponds to a compound annual growth rate (CAGR) of 19.8% during the forecast period. Several factors contribute to this surge, including the adoption of AI-assisted data preparation tools, increasing requirements for real-time analytics, the broadening of self-service analytics capabilities, efforts toward data democratization, and integration of governance frameworks. Key trends shaping this growth include automation-driven data cleansing, metadata-based data transformation, multi-source data integration, and methods for quality monitoring and validation.
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Key Organizations Driving the Data Wrangling Platform Market
The market features a competitive landscape with major players such as Google LLC, IBM Corporation, Oracle Corporation, SAS Institute Inc., Zoho Corporation Pvt. Ltd., Hitachi Vantara LLC, Teradata Corporation, Impetus Technologies Inc., Dataiku SAS, Sigma Computing Inc., Astera Software Inc., Matillion Ltd., SnapLogic Inc., KNIME AG, Airbyte Inc., Ideata Analytics Pvt. Ltd., eXalt Solutions Inc., MindsDB Inc., Keboola Inc., and Mozart Data Inc.
Significant Industry Developments Strengthening Market Position
In a notable move in May 2023, QlikTech International AB (Qlik), a US-based company specializing in data integration, analytics, and AI technologies, acquired Talend S.A., a France-based provider of data wrangling platforms. Although the acquisition amount was not disclosed, this strategic step enabled Qlik to enhance its capabilities in data integration, quality, transformation, and governance within its analytics offerings, ultimately helping enterprises access, trust, and utilize data throughout its lifecycle.
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Innovative Trends Shaping the Future of the Data Wrangling Platform Market
Leading enterprises in the data wrangling platform space are increasingly adopting AI-driven natural language interfaces to make data preparation more intuitive and accessible to users without technical expertise. These interfaces allow users to interact with data systems using everyday language instead of complex coding, automatically converting user instructions into data cleaning and transformation processes, thereby simplifying and accelerating data wrangling tasks.
Example of AI Advancements in Data Wrangling
For instance, in April 2025, Exploratory Inc., a US-based provider of data science platforms, introduced an AI Prompt Interface for data wrangling within its platform. This interface empowers users to clean and transform data through natural language commands, eliminating the need for coding. Designed to democratize data science and boost efficiency, it automatically generates and executes the transformation logic, enabling professionals such as analysts, marketers, and product managers to complete complex data wrangling operations with a single click, significantly reducing time spent on data preparation.
Detailed Segmentation of the Data Wrangling Platform Market
This report breaks down the data wrangling platform market into several key segments:
1) By Component: Software, Services
2) By Deployment Mode: On-Premises, Cloud
3) By Organization Size: Small and Medium Enterprises, Large Enterprises
4) By Application: Data Integration, Data Cleaning, Data Transformation, Data Enrichment, Other Applications
5) By End-User: Banking, Financial Services and Insurance; Healthcare; Retail and E-Commerce; Information Technology and Telecommunications; Government; Manufacturing; Other End-Users.
Further Subcategories Under Software and Services
Within the software category, subsegments include data extraction and ingestion, data cleansing and standardization, data transformation and enrichment, metadata management, data integration and orchestration, and data quality monitoring. The services segment covers consulting and strategy, implementation and configuration, system integration, training and enablement, support and maintenance, as well as managed data wrangling services.
This comprehensive view highlights the evolving nature of the data wrangling platform market and the numerous opportunities it offers for innovation and growth across industries.
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