The Brazil market dominated the LAMEA 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 $144.3 million by 2031. The Argentina market is showcasing a CAGR of 17.2% during 2024-2031. Additionally, the UAE market would register a CAGR of 14.7% during 2024-2031.
As organizations expedite their digital transformation initiatives, there is a marked increase in the demand for automated data management solutions. Businesses migrating to cloud-based architectures like AWS Redshift, Snowflake, and Google BigQuery need efficient data preparation tools to clean, integrate, and standardize diverse datasets.
The shift toward data-centric decision-making has also increased the adoption of self-service BI tools like Tableau and Power BI, enabling non-technical users to clean and analyze data without relying on IT teams. For instance, an e-commerce marketing team can independently segment audiences and track campaign performance using self-service data wrangling.
Brazil’s retail sector is witnessing a transformation driven by the growth of e-commerce, omnichannel marketing, and AI-driven customer analytics. According to the International Trade Administration (ITA), Brazil’s e-commerce sector is projected to exceed $200 billion by 2026, driven by rising internet penetration and an expanding middle class. In South Africa, the rapid expansion of e-commerce has been a key driver for automated these solutions, enabling businesses to manage large-scale transactional, logistics, and customer engagement data efficiently. Online sales in South Africa grew 66% between 2019 and 2020, surpassing $1.8 billion (ZAR30 billion), further emphasizing the need for structured data preparation to support digital payments, fraud detection, and omnichannel retail strategies. As data-driven decision-making becomes essential for retailers, the demand for AI-powered data wrangling continues to rise, helping businesses extract valuable insights from vast datasets while ensuring operational efficiency. Thus, as businesses prioritize data accuracy, regulatory compliance, and real-time analytics, the demand for scalable, automated, and AI-powered data wrangling tools is expected to accelerate across LAMEA.
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
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Table of Contents
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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