Press release
Strategic Forecast for the Data Wrangling Industry: Market Outlook 2025-2034
Data Wrangling
Data Wrangling Market Size Growth Forecast: What to Expect by 2025?
The market size for data wrangling has seen significant expansion in the past few years. The projected growth is from $3.28 billion in 2024 to a higher $3.8 billion in 2025, with a compound annual growth rate (CAGR) of 15.8%. The historical growth has been driven by factors such as the increasing amount of data, the growing need for complex analytical algorithms, the rise in the healthcare sector, and data integration requirements.
How Will the Data Wrangling Market Size Evolve and Grow by 2029?
The market size of data wrangling is anticipated to experience a speedy expansion in the upcoming years, escalating to a value of $6.83 billion by 2029, with a compound annual growth rate (CAGR) of 15.8%. The projected growth during this forecast period is believed to be due to the rising worries about the truthfulness of data, the quick velocity of data production, cost cuts, data intricacy, and the surge in self-service analytics. Notable trends predicted during this period consist of advancements in AI and big data technologies, a time-consuming nature, automation in data wrangling, ensuring data quality, and cloud-based data wrangling.
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What Drivers Are Propelling the Growth of Data Wrangling Market Forward?
The surge in data volumes is anticipated to fuel the expansion of the data wrangling market in the future. In this context, data volume refers to the quantity of data produced, gathered, processed, or stored within a particular system, organization, or dataset. The spike in data volumes is largely due to an increasing number of connected devices, the growth in internet usage and digitization. With this rise in data volumes, data wrangling becomes crucial in effectively cleaning, organizing, and structuring large datasets, thereby enabling users to make swifter decisions and obtain more precise insights from the wealth of data available. For example, as per the Linux Foundation, a non-profit organization in the US, an average end-user organization with a storage capacity of up to 20 petabytes witnessed an annual data growth of 566 terabytes (TB) in 2021, which increased to 1,746 TB in 2022. Similarly, organizations having a storage capacity of up to 25 petabytes recorded annual data growth of 2,208 TB in 2022, which was three times the growth rate in 2021 (700 TB). Hence, the escalating data volumes are spurring the expansion of the data wrangling market.
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Which Emerging Trends Are Transforming the Data Wrangling Market in 2025?
Leading entities in the data wrangling industry are making strides by creating inventive technological equipment such as open-source data wrangling tools to stay ahead in the market. An open-source data wrangling tool is software that aids in cleaning, transforming, and preparing unprocessed data for analysis. For example, in November 2022, Thinking Machines, a technology consulting company from the Philippines, introduced GeoWrangler, an open-source data wrangling software that enables quick processing of geospatial data. The objective of this tool is to streamline geospatial projects and escalate data transformation abilities, thus enhancing the effectiveness and convenience of data wrangling. GeoWrangler, a Python library, simplifies the management of extensive datasets and the creation of transformation processes for geospatial data. This tool aims to aid location intelligence and analytics by offering a means to expedite the processing of geospatial data.
What Are the Key Segments in the Data Wrangling Market?
The data wrangling market covered in this report is segmented -
1) By Component: Tools, Service
2) By Deployment: Cloud-Based, On-Premises
3) By Enterprise Type: Small And Medium Sized, Large
4) By End-User Industry: Information Technology And Telecommunication, Retail, Government, Banking, Financial Services And Insurance (BFSI), Healthcare, Other End-User Industries'
Subsegments:
1) By Tools: Data Cleansing Tools, Data Transformation Tools, Data Integration Tools, Data Enrichment Tools, Data Parsing Tools, Data Normalization Tools, Data Visualization Tools
2) By Service: Consulting Services, Data Wrangling And Data Preparation Services, Integration And Deployment Services, Support And Maintenance Services, Managed Services
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Who Are the Key Players Shaping the Data Wrangling Market's Competitive Landscape?
Major companies operating in the data wrangling market are International Business Machines Corporation, Oracle Corporation, Cloud Software Group Inc., SAS Institute Inc., Hitachi Vantara, Teradata Corporation, Informatica, Alteryx Inc., Unifi, Altair Engineering Inc., Brillio, Talend, Cloudera Inc., DataRobot Inc., Dataiku, Datawatch Corporation, Datameer Inc., Rapid Insight Inc., Paxata Inc., Zaloni, Trifacta, Onedot, Cambridge Semantics Inc., Impetus Technologies Inc., CoolaData, Ideata Analytics
What Geographic Markets Are Powering Growth in the Data Wrangling Market?
North America was the largest region in the data wrangling market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the data wrangling market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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