How Has the Data Wrangling Market Evolved Historically and What is its Current Size?
The data wrangling market has seen considerable growth due to a variety of factors.
• In recent times, the market size of data wrangling has seen rapid expansion. Its valuation is projected to increase from $3.28 billion in 2024 to $3.8 billion in 2025, reflecting a compound annual growth rate (CAGR) of 15.8%.
The historic period’s growth can be credited to factors like an upsurge in data volumes, increasing requirement for sophisticated analytical algorithms, a surge in the healthcare sector, expanding volume of data and needs pertaining to data integration.
What Does Future Hold for The Data Wrangling Market By 2029?
The data wrangling market is expected to maintain its strong growth trajectory in upcoming years.
• The market size for data wrangling is predicted to experience a swift expansion in the coming years. It is projected to reach $6.83 billion by 2029, rising at a compound annual growth rate (CAGR) of 15.8%.
The escalation expected during the forecast period is associated with increased concerns regarding data accuracy, fast-paced data creation, cost efficiency, complex data, and the emergence of self-service analytics. Key trends anticipated during this forecast period are the progression of AI and big data technologies, labor-intensive properties, automated data wrangling, assurance of data quality, and cloud-based data wrangling.
What Are The Primary Growth Drivers In The Data Wrangling Market?
The escalating quantities of data are projected to boost the expansion of the data wrangling market. The term 'data volume' refers to the data produced, gathered, processed, or saved within a specific system, organization, or dataset. The ongoing expansion of connected devices, increased usage of the internet, and accelerated digitalization contribute to the steady increase of data volume. As this volume expands, data wrangling becomes more crucial as it facilitates the purification, organization, and structuring of large datasets. This allows for quicker, better decision-making, and gathering more precise insights from the wealth of data obtainable. For example, as reported by the Linux Foundation, a non-profit organization based in the US, in December 2022, an average end-user organization with storage capacity reaching 20 petabytes saw annual data growth of 566 terabytes (TB) in 2021 and 1,746 TB in 2022. In the same vein, organizations with storage up to 25 petabytes experienced annual data growth of 2,208 TB in 2022, which is triple the growth recorded in 2021 (700 TB). As a result, the surge in data volumes is fuelling the growth of the data wrangling market.
What Is The Segmentation Of The Global 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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What Trends Are Reshaping The Future Of The Data Wrangling Market?
Leading firms in the data wrangling sector are creating groundbreaking technological instruments, like open-source data wrangling tools, to distinguish themselves in the marketplace. These tools are a type of software aimed at enabling the purification, alteration, and organization of raw data for evaluative purposes. As an example, Thinking Machines, a tech consulting firm based in the Philippines, unveiled an open-source data wrangling tool named GeoWrangler in November 2022. It expedites the processing of geospatial data. The objective of this tool is to enhance the effectiveness and approachability of data wrangling by simplifying geospatial projects and augmenting data transformation abilities. GeoWrangler stands as a Python library that simplifies managing massive datasets and creating transformation procedures for geospatial data. It's designed to assist with location intelligence and analytics by offering a tool to accelerate the treatment of geospatial data.
Who Are the Key Players In The Data Wrangling Market?
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 Regional Insights Into 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.
