| Product Code: ETC4399886 | Publication Date: Jul 2023 | Updated Date: Aug 2025 | Product Type: Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 |
Data wrangling involves the process of cleaning and structuring raw data for analysis. In Thailand, this market is essential for organizations seeking to prepare and transform their data for meaningful insights and decision-making.
The Thailand Data Wrangling market is witnessing significant growth, driven by the adoption of tools and platforms that facilitate the cleaning, structuring, and preparation of raw data for analysis. Data Wrangling solutions streamline the data preparation process, enabling analysts to work with clean and organized datasets. The market growth is propelled by the increasing volume and variety of data, the desire for efficient data preparation, and the recognition of Data Wrangling as a crucial step in the data analytics workflow. As Thailand organizations focus on extracting value from diverse datasets, the Data Wrangling market is expected to be a crucial enabler of effective and streamlined data analysis.
In the Thailand Data Wrangling Market, challenges include efficiently cleaning and preparing diverse datasets for analysis. Ensuring data quality and accuracy while maintaining compliance with data protection regulations are ongoing obstacles. Moreover, educating organizations about the time and resource savings offered by data wrangling solutions poses a challenge for market adoption.
The Data Wrangling market in Thailand witnessed significant growth during the COVID-19 pandemic as organizations recognized the importance of preparing and cleaning data for analysis and decision-making. With the increased complexity of data sources and formats, the demand for data wrangling solutions surged. The market responded by providing tools that facilitate the cleaning, structuring, and transformation of data into a usable format. In the era of data preparation and exploration, the Data Wrangling market in Thailand continues to be an essential component, supporting organizations in managing and preparing their data for meaningful insights.
DTAC and True Corporation play a significant role in the Thailand Data Wrangling market. These companies provide data wrangling solutions that streamline the process of cleaning, structuring, and preparing data for analysis. By offering user-friendly tools for data transformation, these solutions empower data professionals in Thailand to work more efficiently and derive meaningful insights from diverse datasets.
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Thailand Data Wrangling Market Overview |
3.1 Thailand Country Macro Economic Indicators |
3.2 Thailand Data Wrangling Market Revenues & Volume, 2021 & 2031F |
3.3 Thailand Data Wrangling Market - Industry Life Cycle |
3.4 Thailand Data Wrangling Market - Porter's Five Forces |
3.5 Thailand Data Wrangling Market Revenues & Volume Share, By Business Function , 2021 & 2031F |
3.6 Thailand Data Wrangling Market Revenues & Volume Share, By Component , 2021 & 2031F |
3.7 Thailand Data Wrangling Market Revenues & Volume Share, By Deployment Model, 2021 & 2031F |
3.8 Thailand Data Wrangling Market Revenues & Volume Share, By Industry Vertical, 2021 & 2031F |
3.9 Thailand Data Wrangling Market Revenues & Volume Share, By Organization Size, 2021 & 2031F |
4 Thailand Data Wrangling Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing adoption of big data analytics in various industries in Thailand |
4.2.2 Growing demand for data wrangling tools to clean and prepare data for analysis |
4.2.3 Rapid technological advancements in data wrangling software and tools |
4.3 Market Restraints |
4.3.1 Lack of skilled professionals in data wrangling in the Thai market |
4.3.2 Concerns regarding data privacy and security hindering data sharing and wrangling activities |
5 Thailand Data Wrangling Market Trends |
6 Thailand Data Wrangling Market, By Types |
6.1 Thailand Data Wrangling Market, By Business Function |
6.1.1 Overview and Analysis |
6.1.2 Thailand Data Wrangling Market Revenues & Volume, By Business Function , 2021-2031F |
6.1.3 Thailand Data Wrangling Market Revenues & Volume, By Marketing and Sales, 2021-2031F |
6.1.4 Thailand Data Wrangling Market Revenues & Volume, By Finance, 2021-2031F |
6.1.5 Thailand Data Wrangling Market Revenues & Volume, By Operations, 2021-2031F |
6.1.6 Thailand Data Wrangling Market Revenues & Volume, By HR, 2021-2031F |
6.1.7 Thailand Data Wrangling Market Revenues & Volume, By Legal, 2021-2031F |
6.2 Thailand Data Wrangling Market, By Component |
6.2.1 Overview and Analysis |
6.2.2 Thailand Data Wrangling Market Revenues & Volume, By Tools, 2021-2031F |
6.2.3 Thailand Data Wrangling Market Revenues & Volume, By Services, 2021-2031F |
6.3 Thailand Data Wrangling Market, By Deployment Model |
6.3.1 Overview and Analysis |
6.3.2 Thailand Data Wrangling Market Revenues & Volume, By On-premises, 2021-2031F |
6.3.3 Thailand Data Wrangling Market Revenues & Volume, By Cloud, 2021-2031F |
6.4 Thailand Data Wrangling Market, By Industry Vertical |
6.4.1 Overview and Analysis |
6.4.2 Thailand Data Wrangling Market Revenues & Volume, By BFSI, 2021-2031F |
6.4.3 Thailand Data Wrangling Market Revenues & Volume, By Telecom and IT, 2021-2031F |
6.4.4 Thailand Data Wrangling Market Revenues & Volume, By Retail and eCommerce, 2021-2031F |
6.4.5 Thailand Data Wrangling Market Revenues & Volume, By Healthcare and Life Sciences, 2021-2031F |
6.4.6 Thailand Data Wrangling Market Revenues & Volume, By Travel and Hospitality, 2021-2031F |
6.4.7 Thailand Data Wrangling Market Revenues & Volume, By Government, 2021-2031F |
6.4.8 Thailand Data Wrangling Market Revenues & Volume, By Energy and Utilities, 2021-2031F |
6.4.9 Thailand Data Wrangling Market Revenues & Volume, By Energy and Utilities, 2021-2031F |
6.5 Thailand Data Wrangling Market, By Organization Size |
6.5.1 Overview and Analysis |
6.5.2 Thailand Data Wrangling Market Revenues & Volume, By Large enterprises, 2021-2031F |
6.5.3 Thailand Data Wrangling Market Revenues & Volume, By Small and Medium-sized Enterprises (SMEs), 2021-2031F |
7 Thailand Data Wrangling Market Import-Export Trade Statistics |
7.1 Thailand Data Wrangling Market Export to Major Countries |
7.2 Thailand Data Wrangling Market Imports from Major Countries |
8 Thailand Data Wrangling Market Key Performance Indicators |
8.1 Average time taken to clean and prepare data for analysis |
8.2 Percentage increase in the adoption of data wrangling tools in Thailand |
8.3 Number of data wrangling projects successfully completed within the set timeframe |
9 Thailand Data Wrangling Market - Opportunity Assessment |
9.1 Thailand Data Wrangling Market Opportunity Assessment, By Business Function , 2021 & 2031F |
9.2 Thailand Data Wrangling Market Opportunity Assessment, By Component , 2021 & 2031F |
9.3 Thailand Data Wrangling Market Opportunity Assessment, By Deployment Model, 2021 & 2031F |
9.4 Thailand Data Wrangling Market Opportunity Assessment, By Industry Vertical, 2021 & 2031F |
9.5 Thailand Data Wrangling Market Opportunity Assessment, By Organization Size, 2021 & 2031F |
10 Thailand Data Wrangling Market - Competitive Landscape |
10.1 Thailand Data Wrangling Market Revenue Share, By Companies, 2024 |
10.2 Thailand Data Wrangling Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |
Export potential enables firms to identify high-growth global markets with greater confidence by combining advanced trade intelligence with a structured quantitative methodology. The framework analyzes emerging demand trends and country-level import patterns while integrating macroeconomic and trade datasets such as GDP and population forecasts, bilateral import–export flows, tariff structures, elasticity differentials between developed and developing economies, geographic distance, and import demand projections. Using weighted trade values from 2020–2024 as the base period to project country-to-country export potential for 2030, these inputs are operationalized through calculated drivers such as gravity model parameters, tariff impact factors, and projected GDP per-capita growth. Through an analysis of hidden potentials, demand hotspots, and market conditions that are most favorable to success, this method enables firms to focus on target countries, maximize returns, and global expansion with data, backed by accuracy.
By factoring in the projected importer demand gap that is currently unmet and could be potential opportunity, it identifies the potential for the Exporter (Country) among 190 countries, against the general trade analysis, which identifies the biggest importer or exporter.
To discover high-growth global markets and optimize your business strategy:
Click Here