The Latin America, Middle East and Africa Data Wrangling Market would witness market growth of 15.7% CAGR during the forecast period (2024-2031).
The Brazil market dominated the LAMEA Data Wrangling Market by Country in 2023, and would 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.
Free Valuable Insights: The Worldwide Data Wrangling Market is Projected 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 Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
By Deployment Mode
By Component
By Business Function
By Organization Size
By Vertical
By Country
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