Press release
Global Data Wrangling Industry Outlook 2025-2029: Market Set to Cross $6.81 Billion Milestone
Data Wrangling Market
What Will the Data Wrangling Industry Market Size Be by 2025?
The market size for data wrangling has seen swift expansion in the past few years. The projected growth is from $3.28 billion in 2024 to a sizable $3.79 billion in 2025, with a compound annual growth rate (CAGR) set at 15.5%. Factors contributing to this growth during the historical period include an increase in data volumes, a surge in demand for advanced analytical algorithms, accelerated growth in the healthcare sector, and the need for data integration.
What's the Long-Term Growth Forecast for the Data Wrangling Market Size Through 2029?
The market for data wrangling is set for swift expansion in the coming years. By 2029, it is projected to reach $6.81 billion, with a compound annual growth rate (CAGR) of 15.8%. This anticipated growth during the forecast period is due to a surge in concerns regarding data accuracy, the quick speed of data creation, decreased costs, data complexity, and the emergence of self-service analytics. Noteworthy trends expected during this forecast period encompass advancements in AI and big data technologies, time-consuming nature, automated data wrangling, ensuring data quality, and data wrangling based on the cloud.
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What Are the Key Growth Drivers Fueling the Data Wrangling Market Expansion?
The rise in data volumes is anticipated to drive the expansion of the data wrangling market. The term data volume alludes to the quantity of data that is produced, gathered, processed, or stored within a particular system, organization, or dataset. The surge in data volumes can be attributed to the increasing number of connected devices, heightened internet usage, and escalating digitalization. As the volumes of data escalate, the importance of data wrangling grows, given its ability to efficiently clean, organize, and structure vast datasets, thereby enabling users to make informed decisions swiftly and derive more precise insights from the enormous data pools. For example, the Linux Foundation, which is a non-profit organization based in the US, reported in December 2022 that an average end-user organization with a storage capacity of approximately 20 petabytes encountered an annual data growth of 566 terabytes (TB) in 2021 and a whopping 1,746 TB in 2022. In a parallel sequence, organizations that had a storage capacity of roughly 25 petabytes noticed an annual data growth of 2,208 TB in 2022, which was three times the growth recorded in 2021 (700 TB). Consequently, as the volumes of data rise, they are lending impetus to the expansion of the data wrangling market.
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What Are the Key Trends Driving Data Wrangling Market Growth?
Prominent corporations in the data wrangling market are creating cutting-edge technologies like open-source data wrangling tools to maintain their competitive standing. Open-source data wrangling tools are software applications developed to assist with refining, transforming, and readying raw data for scrutiny. For example, Thinking Machines, a tech consultancy from the Philippines, introduced GeoWrangler in November 2022, a rapid-processing open-source data wrangling software for geospatial data. The objective of this tool is to increase the efficacy and availability of data wrangling by facilitating geospatial project management and empowering data transformation capabilities. GeoWrangler, a Python library, simplifies the handling of extensive datasets and the establishment of transformation workflows for geospatial data. It aims to assist in location intelligence and analytics by offering a tool to hasten the processing of geospatial data.
How Is the Data Wrangling Market Segmented?
The data wranglingmarket 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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Which Companies Are Leading the Charge in Data Wrangling Market Innovation?
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
Which Regions Are Leading the Global Data Wrangling Market in Revenue?
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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