The North America Data Wrangling Market is expected to 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 is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $2.38 billion by 2031. The Canada market is experiencing a CAGR of 15.6% during 2024-2031. Additionally, the Mexico market is expected to 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.
The US market dominated the North America Data Wrangling Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $2.38 billion by 2031. The Canada market is experiencing a CAGR of 15.6% during 2024-2031. Additionally, the Mexico market is expected to 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.
List of Key Companies Profiled
- Altair Engineering Inc.
- Alteryx, Inc.
- Datameer, Inc.
- Hitachi Vantara LLC (Hitachi Ltd.)
- IBM Corporation
- Impetus Technologies, Inc.
- Oracle Corporation
- SAS Institute Inc.
- TIBCO Software, Inc. (Vista Equity Partners Management, LLC)
- Teradata Corporation
Market Report Segmentation
By Deployment Mode- On-premise
- Cloud
- Solution
- Services
- Professional Services
- Managed Services
- Sales & Marketing
- Finance & IT
- Operations
- Human Resource
- Other Business Function
- Large Enterprises
- Small & Medium Enterprises
- BFSI
- Retail
- Healthcare
- Telecom & IT
- Government & Public Sector
- Manufacturing
- Energy & Utilities
- Other Vertical
- US
- Canada
- Mexico
- Rest of North America
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. North America Data Wrangling Market by Deployment Mode
Chapter 6. North America Data Wrangling Market by Component
Chapter 7. North America Data Wrangling Market by Business Function
Chapter 8. North America Data Wrangling Market by Organization Size
Chapter 9. North America Data Wrangling Market by Vertical
Chapter 10. North America Data Wrangling Market by Country
Chapter 11. Company Profiles
Companies Mentioned
- Altair Engineering Inc.
- Alteryx, Inc.
- Datameer, Inc.
- Hitachi Vantara LLC (Hitachi Ltd.)
- IBM Corporation
- Impetus Technologies, Inc.
- Oracle Corporation
- SAS Institute Inc.
- TIBCO Software, Inc. (Vista Equity Partners Management, LLC)
- Teradata Corporation
Methodology
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