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LAMEA Data Wrangling Market Size, Share & Trends Analysis Report By Deployment Mode, By Component, By Business Function, By Organization Size, By Vertical, By Country and Growth Forecast, 2024 - 2031

  • PDF Icon

    Report

  • 157 Pages
  • January 2025
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6050083
The Latin America, Middle East and Africa Data Wrangling Market is expected to 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 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
By Component
  • Solution
  • Services
    • Professional Services
    • Managed Services
By Business Function
  • Sales & Marketing
  • Finance & IT
  • Operations
  • Human Resource
  • Other Business Function
By Organization Size
  • Large Enterprises
  • Small & Medium Enterprises
By Vertical
  • BFSI
  • Retail
  • Healthcare
  • Telecom & IT
  • Government & Public Sector
  • Manufacturing
  • Energy & Utilities
  • Other Vertical
By Country
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 LAMEA Data Wrangling Market, by Deployment Mode
1.4.2 LAMEA Data Wrangling Market, by Component
1.4.3 LAMEA Data Wrangling Market, by Business Function
1.4.4 LAMEA Data Wrangling Market, by Organization Size
1.4.5 LAMEA Data Wrangling Market, by Vertical
1.4.6 LAMEA Data Wrangling Market, by Country
1.5 Methodology for the Research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 Market Share Analysis, 2023
4.2 Porter Five Forces Analysis
Chapter 5. LAMEA Data Wrangling Market by Deployment Mode
5.1 LAMEA On-premise Market by Country
5.2 LAMEA Cloud Market by Country
Chapter 6. LAMEA Data Wrangling Market by Component
6.1 LAMEA Solution Market by Country
6.2 LAMEA Services Market by Country
6.3 LAMEA Data Wrangling Market by Services Type
6.3.1 LAMEA Professional Services Market by Country
6.3.2 LAMEA Managed Services Market by Country
Chapter 7. LAMEA Data Wrangling Market by Business Function
7.1 LAMEA Sales & Marketing Market by Country
7.2 LAMEA Finance & IT Market by Country
7.3 LAMEA Operations Market by Country
7.4 LAMEA Human Resource Market by Country
7.5 LAMEA Other Business Function Market by Country
Chapter 8. LAMEA Data Wrangling Market by Organization Size
8.1 LAMEA Large Enterprises Market by Country
8.2 LAMEA Small & Medium Enterprises Market by Country
Chapter 9. LAMEA Data Wrangling Market by Vertical
9.1 LAMEA BFSI Market by Country
9.2 LAMEA Retail Market by Country
9.3 LAMEA Healthcare Market by Country
9.4 LAMEA Telecom & IT Market by Country
9.5 LAMEA Government & Public Sector Market by Country
9.6 LAMEA Manufacturing Market by Country
9.7 LAMEA Energy & Utilities Market by Country
9.8 LAMEA Other Vertical Market by Country
Chapter 10. LAMEA Data Wrangling Market by Country
10.1 Brazil Data Wrangling Market
10.1.1 Brazil Data Wrangling Market by Deployment Mode
10.1.2 Brazil Data Wrangling Market by Component
10.1.2.1 Brazil Data Wrangling Market by Services Type
10.1.3 Brazil Data Wrangling Market by Business Function
10.1.4 Brazil Data Wrangling Market by Organization Size
10.1.5 Brazil Data Wrangling Market by Vertical
10.2 Argentina Data Wrangling Market
10.2.1 Argentina Data Wrangling Market by Deployment Mode
10.2.2 Argentina Data Wrangling Market by Component
10.2.2.1 Argentina Data Wrangling Market by Services Type
10.2.3 Argentina Data Wrangling Market by Business Function
10.2.4 Argentina Data Wrangling Market by Organization Size
10.2.5 Argentina Data Wrangling Market by Vertical
10.3 UAE Data Wrangling Market
10.3.1 UAE Data Wrangling Market by Deployment Mode
10.3.2 UAE Data Wrangling Market by Component
10.3.2.1 UAE Data Wrangling Market by Services Type
10.3.3 UAE Data Wrangling Market by Business Function
10.3.4 UAE Data Wrangling Market by Organization Size
10.3.5 UAE Data Wrangling Market by Vertical
10.4 Saudi Arabia Data Wrangling Market
10.4.1 Saudi Arabia Data Wrangling Market by Deployment Mode
10.4.2 Saudi Arabia Data Wrangling Market by Component
10.4.2.1 Saudi Arabia Data Wrangling Market by Services Type
10.4.3 Saudi Arabia Data Wrangling Market by Business Function
10.4.4 Saudi Arabia Data Wrangling Market by Organization Size
10.4.5 Saudi Arabia Data Wrangling Market by Vertical
10.5 South Africa Data Wrangling Market
10.5.1 South Africa Data Wrangling Market by Deployment Mode
10.5.2 South Africa Data Wrangling Market by Component
10.5.2.1 South Africa Data Wrangling Market by Services Type
10.5.3 South Africa Data Wrangling Market by Business Function
10.5.4 South Africa Data Wrangling Market by Organization Size
10.5.5 South Africa Data Wrangling Market by Vertical
10.6 Nigeria Data Wrangling Market
10.6.1 Nigeria Data Wrangling Market by Deployment Mode
10.6.2 Nigeria Data Wrangling Market by Component
10.6.2.1 Nigeria Data Wrangling Market by Services Type
10.6.3 Nigeria Data Wrangling Market by Business Function
10.6.4 Nigeria Data Wrangling Market by Organization Size
10.6.5 Nigeria Data Wrangling Market by Vertical
10.7 Rest of LAMEA Data Wrangling Market
10.7.1 Rest of LAMEA Data Wrangling Market by Deployment Mode
10.7.2 Rest of LAMEA Data Wrangling Market by Component
10.7.2.1 Rest of LAMEA Data Wrangling Market by Services Type
10.7.3 Rest of LAMEA Data Wrangling Market by Business Function
10.7.4 Rest of LAMEA Data Wrangling Market by Organization Size
10.7.5 Rest of LAMEA Data Wrangling Market by Vertical
Chapter 11. Company Profiles
11.1 ALTAIR ENGINEERING INC.
11.1.1 Company Overview
11.1.2 Financial Analysis
11.1.3 Segmental and Regional Analysis
11.1.4 Research & Development Expenses
11.2 Alteryx, Inc.
11.2.1 Company Overview
11.2.2 Financial Analysis
11.2.3 Research & Development Expenses
11.2.4 Recent Strategies and Developments
11.2.4.1 Product Launches and Product Expansions
11.2.5 SWOT Analysis
11.3 Datameer, Inc.
11.3.1 Company Overview
11.4 Hitachi Vantara LLC (Hitachi Ltd.)
11.4.1 Company Overview
11.4.2 Financial Analysis
11.4.3 Segmental and Regional Analysis
11.4.4 Research & Development Expenses
11.4.5 SWOT Analysis
11.5 IBM Corporation
11.5.1 Company Overview
11.5.2 Financial Analysis
11.5.3 Regional & Segmental Analysis
11.5.4 Research & Development Expenses
11.5.5 SWOT Analysis
11.6 Impetus Technologies, Inc.
11.6.1 Company Overview
11.7 Oracle Corporation
11.7.1 Company Overview
11.7.2 Financial Analysis
11.7.3 Segmental and Regional Analysis
11.7.4 Research & Development Expense
11.7.5 Recent Strategies and Developments
11.7.5.1 Product Launches and Product Expansions
11.7.6 SWOT Analysis
11.8 SAS Institute, Inc.
11.8.1 Company Overview
11.8.2 SWOT Analysis
11.9 Tibco Software, Inc. (Vista Equity Partners Management, LLC)
11.9.1 Company Overview
11.9.2 SWOT Analysis
11.10. Teradata Corporation
11.10.1 Company Overview
11.10.2 Financial Analysis
11.10.3 Regional Analysis
11.10.4 Research & Development Expenses
11.10.5 SWOT Analysis

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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