The North America Data Wrangling Market would witness market growth of 13.3% CAGR during the forecast period (2024-2031).
The US market dominated the North America Data Wrangling Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $2,384.3 million by 2031. The Canada market is experiencing a CAGR of 15.6% during (2024 - 2031). Additionally, The Mexico market would exhibit a CAGR of 14.8% during (2024 - 2031).
This, also known as data munging, is transforming, cleaning, and structuring raw data into a usable format for analysis, reporting, and decision-making. It involves various steps such as removing inconsistencies, handling missing values, standardizing formats, merging datasets, and eliminating duplicate or erroneous entries.
In the contemporary digital era, organizations amass extensive quantities of data from a myriad of sources, including databases, spreadsheets, application programming interfaces (APIs), Internet of Things (IoT) devices, social media platforms, cloud computing services, and enterprise systems. However, this data is often incomplete, unstructured, or contains errors that can affect the accuracy of analytics.
The ICT sector in Canada also contributes significantly to this market, driven by AI innovations, cloud computing, and data-driven enterprise strategies. According to the ITA, the Canadian ICT industry contributed $104.5 billion to the national GDP in 2021, accounting for 5.3% of total GDP and fueling 15.3% of GDP growth between 2016 and 2021. As telecommunications, cybersecurity, and digital services companies generate massive datasets, the demand for automated data cleansing, transformation, and governance solutions will continue to expand, reinforcing the critical role of data wrangling in Canada’s tech-driven economy. Government-backed initiatives such as Canada’s Digital Charter and AI Strategy promote the adoption of data-driven decision-making, further accelerating the need for automated and scalable data wrangling tools. Hence, this market is expected to grow continuously across the region.
Free Valuable Insights: The Data Wrangling Market is Predict to reach USD 7.60 Billion by 2031, at a CAGR of 13.9%
Based on Deployment Mode, the market is segmented into On-premise, and Cloud. Based on Component, the market is segmented into Solution, and Services (Professional Services, and Managed Services). Based on Business Function, the market is segmented into Sales & Marketing, Finance & IT, Operations, Human Resource, and Other Business Function. Based on Organization Size, the market is segmented into Large Enterprises, and Small & Medium Enterprises. Based on Vertical, the market is segmented into BFSI, Retail, Healthcare, Telecom & IT, Government & Public Sector, Manufacturing, Energy & Utilities, and Other Vertical. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
By Deployment Mode
By Component
By Business Function
By Organization Size
By Vertical
By Country
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