Data Wrangling Market Growth & Trends
The global data wrangling market size is expected to reach USD 7,784.3 million by 2030, according to a new report by Grand View Research, Inc. The market is anticipated to expand at a compound annual growth rate (CAGR) of 14.3% from 2023 to 2030. The market’s growth is driven by the increase in data volume and velocity across organizations as well as technical advancements like AI and machine learning in data wrangling. Additionally, the market is fueled by edge computing solutions development. Growing enterprise regulatory pressure is anticipated to offer significant prospects for the growth of data-wrangling companies.
Data wrangling tools can help organizations transform their raw, unstructured data into clean, structured data that is ready for analysis. By cleaning and structuring their data using data wrangling tools, organizations can ensure that their big data analytics efforts are successful and deliver meaningful insights. As a result, the demand for data wrangling solutions has increased significantly in recent years, driven in large part by the growing adoption of big data analytics. Data wrangling tools are essential for organizations looking to make the most of their data and derive insights that can help drive business success.
With the increasing trend of enterprise mobility and BYOD, employees are accessing and using data on their devices. This can increase the risk of data loss or theft if proper data management practices are not in place. Moreover, organizations are turning to data wrangling solutions to help manage and secure their data to address these concerns. Data wrangling tools can help organizations maintain control over their data, even when accessed and used on personal devices. By using data wrangling solutions, organizations can ensure that their data is properly managed and secured and can be easily accessed and used by decision-makers to drive business success.
The rise of self-service analytics has increased the demand for data wrangling tools that can help non-technical users prepare data for analysis. This has created a significant opportunity for data wrangling vendors to offer easy-to-use tools that empower users to derive insights from data independently without IT support. Moreover, with increased data privacy and security concerns, data governance and compliance have become more important than ever. Data wrangling can help organizations ensure that their data is properly managed and secured, which is critical for meeting regulatory requirements and maintaining customer trust.
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Report Attribute Details Market size value in 2023 — USD 3063.4 million Revenue forecast in 2030 — USD 7.784.3 million Growth rate — CAGR of 14.3% from 2023 to 2030 Base year for estimation — 2022 Historical data — 2017–2021 Forecast period — 2023–2030
Data Wrangling Market Report Highlights
With data’s increasing volume and complexity, there has been a growing need for automation in data wrangling processes. AI and machine learning techniques have assisted in tasks such as data cleaning, transformation, and integration, making the process more efficient and less time-consuming.
The cloud segment is projected to grow with a CAGR of 16.0% from 2023 to 2030. Data wrangling tools are increasingly integrating with cloud data lakes and data warehouses. This integration simplifies the process of accessing, transforming, and analysing data stored in these repositories.
The IT and Telecom segment is expected to grow with the fastest CAGR of 14.8% from 2023 to 2030. The need for real-time insights has driven the adoption of data wrangling solutions in this segment.
The North America region dominates the market with a revenue share of 47.8% in 2022. The presence of major tech hubs, such as Silicon Valley, has fostered innovation and the development of advanced data wrangling tools.
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