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Asia-Pacific 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

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    Report

  • 157 Pages
  • January 2025
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6050124
The Asia Pacific Data Wrangling Market is expected to witness market growth of 14.9% CAGR during the forecast period (2024-2031).

The China market dominated the Asia Pacific 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 $508.8 million by 2031. The Japan market is registering a CAGR of 14.2% during 2024-2031. Additionally, the India market is expected to showcase a CAGR of 15.7% during 2024-2031.



Organizations functioning within regulated sectors are required to comply with stringent regulatory standards, which encompass the General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), the Health Insurance Portability and Accountability Act (HIPAA), and the Payment Card Industry Data Security Standard (PCI-DSS).

Beyond compliance, data lineage and security are essential for preventing fraud and unauthorized access. An e-commerce company must track how customer data moves from website sign-ups to CRM systems and third-party analytics tools, ensuring adherence to cross-border data protection laws. Likewise, financial institutions and telecom providers use these tools to detect anomalies, flag inconsistencies, and prevent fraudulent transactions.

The region has some of the fastest-growing economies and tech-driven industries, creating a high demand for efficient solutions. China’s rapid digital transformation in commerce, logistics, and communication significantly drives the demand for advanced solutions to manage its expansive digital infrastructure. In 2023, China’s data production reached 32.85 zettabytes, reflecting a 22.44% year-over-year increase, fueled by initiatives such as Internet Plus and the Digital Silk Road under the Belt and Road Initiative. Australia’s e-commerce boom significantly drives the need for scalable and automated these tools to support online retail operations. With online retail sales reaching AUD 45 billion in 2022, businesses increasingly depend on data-driven decision-making for real-time inventory management, personalized marketing, and fraud prevention. Automated data wrangling tools help e-commerce platforms clean, merge, and analyze transactional data, ensuring accurate demand forecasting, seamless payment processing, and enhanced customer experience personalization through AI-powered insights. Thus, with Asia Pacific’s rapid digitalization, AI-driven transformation, and increasing data governance regulations, the demand for these solutions is expected to surge across industries.

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
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

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 Asia Pacific Data Wrangling Market, by Deployment Mode
1.4.2 Asia Pacific Data Wrangling Market, by Component
1.4.3 Asia Pacific Data Wrangling Market, by Business Function
1.4.4 Asia Pacific Data Wrangling Market, by Organization Size
1.4.5 Asia Pacific Data Wrangling Market, by Vertical
1.4.6 Asia Pacific 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. Asia Pacific Data Wrangling Market by Deployment Mode
5.1 Asia Pacific On-premise Market by Country
5.2 Asia Pacific Cloud Market by Country
Chapter 6. Asia Pacific Data Wrangling Market by Component
6.1 Asia Pacific Solution Market by Country
6.2 Asia Pacific Services Market by Country
6.3 Asia Pacific Data Wrangling Market by Services Type
6.3.1 Asia Pacific Professional Services Market by Country
6.3.2 Asia Pacific Managed Services Market by Country
Chapter 7. Asia Pacific Data Wrangling Market by Business Function
7.1 Asia Pacific Sales & Marketing Market by Country
7.2 Asia Pacific Finance & IT Market by Country
7.3 Asia Pacific Operations Market by Country
7.4 Asia Pacific Human Resource Market by Country
7.5 Asia Pacific Other Business Function Market by Country
Chapter 8. Asia Pacific Data Wrangling Market by Organization Size
8.1 Asia Pacific Large Enterprises Market by Country
8.2 Asia Pacific Small & Medium Enterprises Market by Country
Chapter 9. Asia Pacific Data Wrangling Market by Vertical
9.1 Asia Pacific BFSI Market by Country
9.2 Asia Pacific Retail Market by Country
9.3 Asia Pacific Healthcare Market by Country
9.4 Asia Pacific Telecom & IT Market by Country
9.5 Asia Pacific Government & Public Sector Market by Country
9.6 Asia Pacific Manufacturing Market by Country
9.7 Asia Pacific Energy & Utilities Market by Country
9.8 Asia Pacific Other Vertical Market by Country
Chapter 10. Asia Pacific Data Wrangling Market by Country
10.1 China Data Wrangling Market
10.1.1 China Data Wrangling Market by Deployment Mode
10.1.2 China Data Wrangling Market by Component
10.1.2.1 China Data Wrangling Market by Services Type
10.1.3 China Data Wrangling Market by Business Function
10.1.4 China Data Wrangling Market by Organization Size
10.1.5 China Data Wrangling Market by Vertical
10.2 Japan Data Wrangling Market
10.2.1 Japan Data Wrangling Market by Deployment Mode
10.2.2 Japan Data Wrangling Market by Component
10.2.2.1 Japan Data Wrangling Market by Services Type
10.2.3 Japan Data Wrangling Market by Business Function
10.2.4 Japan Data Wrangling Market by Organization Size
10.2.5 Japan Data Wrangling Market by Vertical
10.3 India Data Wrangling Market
10.3.1 India Data Wrangling Market by Deployment Mode
10.3.2 India Data Wrangling Market by Component
10.3.2.1 India Data Wrangling Market by Services Type
10.3.3 India Data Wrangling Market by Business Function
10.3.4 India Data Wrangling Market by Organization Size
10.3.5 India Data Wrangling Market by Vertical
10.4 South Korea Data Wrangling Market
10.4.1 South Korea Data Wrangling Market by Deployment Mode
10.4.2 South Korea Data Wrangling Market by Component
10.4.2.1 South Korea Data Wrangling Market by Services Type
10.4.3 South Korea Data Wrangling Market by Business Function
10.4.4 South Korea Data Wrangling Market by Organization Size
10.4.5 South Korea Data Wrangling Market by Vertical
10.5 Australia Data Wrangling Market
10.5.1 Australia Data Wrangling Market by Deployment Mode
10.5.2 Australia Data Wrangling Market by Component
10.5.2.1 Australia Data Wrangling Market by Services Type
10.5.3 Australia Data Wrangling Market by Business Function
10.5.4 Australia Data Wrangling Market by Organization Size
10.5.5 Australia Data Wrangling Market by Vertical
10.6 Malaysia Data Wrangling Market
10.6.1 Malaysia Data Wrangling Market by Deployment Mode
10.6.2 Malaysia Data Wrangling Market by Component
10.6.2.1 Malaysia Data Wrangling Market by Services Type
10.6.3 Malaysia Data Wrangling Market by Business Function
10.6.4 Malaysia Data Wrangling Market by Organization Size
10.6.5 Malaysia Data Wrangling Market by Vertical
10.7 Rest of Asia Pacific Data Wrangling Market
10.7.1 Rest of Asia Pacific Data Wrangling Market by Deployment Mode
10.7.2 Rest of Asia Pacific Data Wrangling Market by Component
10.7.2.1 Rest of Asia Pacific Data Wrangling Market by Services Type
10.7.3 Rest of Asia Pacific Data Wrangling Market by Business Function
10.7.4 Rest of Asia Pacific Data Wrangling Market by Organization Size
10.7.5 Rest of Asia Pacific 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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