Press release
The Significance Of Data Volume In Driving The Data Wrangling Market: A Key Driver Powering Data Wrangling Market Growth In 2025
Data Wrangling
What Is the Current Data Wrangling Market Size and Its Estimated Growth Rate?
The market size of data wrangling has experienced a quick surge over the past few years. It is projected to increase from $3.28 billion in 2024 to $3.8 billion in 2025, with a compound annual growth rate (CAGR) of 15.8%. The expansion over the historical term is driven by factors such as rising volumes of data, an escalating need for sophisticated analytical algorithm, growth in the healthcare industry, and the increased demand for data integration.
The market size of data wrangling is projected to experience a swift expansion in the coming years, with an estimated value of $6.83 billion by 2029, achieving a CAGR of 15.8%. Factors influencing this growth over the forecast period include elevated awareness about data authenticity, accelerated data production, cost efficiency, data intricacy, and the burgeoning prevalence of self-service analytics. Key trends that will shape this period include advancements in AI and big data technologies, an intensive time requirement, automation in data wrangling, assurance of data quality, and cloud-based data wrangling.
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How Are Emerging Segments Shaping the Data Wrangling Market Landscape?
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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Which Growth Factors Are Influencing Data Wrangling Market Expansion?
The expansion of the data wrangling market is anticipated to be fueled by the increasing amounts of generated data. Data volume is connected with the quantity of data produced, gathered, processed, or kept in a particular system, company, or dataset. The surge in data volume can be attributed to the emergence of interconnected devices, the escalating use of the internet, and the growth of digitalization. As the volume of data enlarges, data wrangling becomes enormously important for effectively sanitizing, arranging, and structuring vast sets of data. This helps users to make informed decisions promptly and derive accurate insights from a sea of available data. For example, the Linux Foundation, a non-profit organization based in the United States, reported in December 2022 that an average end-user firm with storage ability up to 20 petabytes recorded yearly data growth of 566 TB in 2021 and 1,746 TB in 2022. Similarly, enterprises having storage up to 25 petabytes witnessed annual data growth of 2,208 TB in 2022, which is threefold increase from 2021 (700 TB). Therefore, the escalating quantity of data plays a crucial role in boosting the growth of the data wrangling market.
Who Are the Dominant Players Across Different Data Wrangling Market Segments?
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 Are the Latest Developing Trends in the Data Wrangling Market?
Leading firms in the data wrangling sector are focusing on the creation of advanced technological applications, including open-source data wrangling tools, as a strategy to outperform their competitors. Open-source data wrangling tools are essentially software programs developed to simplify the tasks of sanitizing, transforming, and grooming unprocessed data for further evaluation. For example, GeoWrangler, an open-source data wrangling tool that rapidly works on geospatial data, was unveiled by Thinking Machines, a tech consultancy based in the Philippines, in November 2022. GeoWrangler, a Python library, not only simplifies the handling of massive data sets and the creation of geospatial data transformation workflows but also strives to improve the productivity and availability of data wrangling by optimizing geospatial ventures and boosting data transformation skills. It has been fashioned to facilitate location intelligence and analytics by providing a tool to expedite the handling of geospatial data.
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Which Geographic Regions Are Expected to Dominate the Data Wrangling Market in the Coming Years?
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.
Frequently Asked Questions:
1. What Is the Market Size and Growth Rate of the Data Wrangling Market?
2. What is the CAGR expected in the Data Wrangling Market?
3. What Are the Key Innovations Transforming the Data Wrangling Industry?
4. Which Region Is Leading the Data Wrangling Market?
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