| Product Code: ETC4399887 | 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 is becoming a critical step in data preparation and transformation processes for businesses in Malaysia. This market involves the tools and techniques used to clean and structure data for analytics and business intelligence purposes. As data quality becomes paramount for decision-making, the data wrangling market is expanding to meet the growing demand for data cleansing and transformation solutions.
The Malaysia data wrangling market is on the rise, driven by the growing importance of data preparation in the analytics pipeline. Data wrangling involves the process of cleaning, structuring, and transforming raw data into a usable format for analysis. The market is witnessing increased adoption as organizations recognize that the quality of data directly impacts the quality of insights derived from it. The proliferation of big data and the need for data quality and consistency are key drivers of the data wrangling market in Malaysia. Efficient data wrangling processes enable organizations to make more informed decisions, driving operational efficiency and innovation.
In Malaysia data wrangling market, a significant challenge lies in the diversity and heterogeneity of data sources. Bringing together data from various platforms, formats, and structures requires robust tools and methodologies. Ensuring data integrity and consistency throughout the wrangling process is also a persistent concern, as errors or discrepancies can significantly impact downstream analytics.
COVID-19 has underlined the importance of data quality and integration. Data wrangling tools have become essential for cleaning, transforming, and preparing data for analysis. Businesses in Malaysia are increasingly investing in data wrangling solutions to handle the growing volume of data and ensure its accuracy and consistency.
The data wrangling market in Malaysia features players such as Trifacta, a leading data preparation and data wrangling platform. Alteryx is another key player, offering a self-service data analytics platform that simplifies data wrangling and analytics tasks for organizations.
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 Malaysia Data Wrangling Market Overview |
3.1 Malaysia Country Macro Economic Indicators |
3.2 Malaysia Data Wrangling Market Revenues & Volume, 2021 & 2031F |
3.3 Malaysia Data Wrangling Market - Industry Life Cycle |
3.4 Malaysia Data Wrangling Market - Porter's Five Forces |
3.5 Malaysia Data Wrangling Market Revenues & Volume Share, By Business Function , 2021 & 2031F |
3.6 Malaysia Data Wrangling Market Revenues & Volume Share, By Component , 2021 & 2031F |
3.7 Malaysia Data Wrangling Market Revenues & Volume Share, By Deployment Model, 2021 & 2031F |
3.8 Malaysia Data Wrangling Market Revenues & Volume Share, By Industry Vertical, 2021 & 2031F |
3.9 Malaysia Data Wrangling Market Revenues & Volume Share, By Organization Size, 2021 & 2031F |
4 Malaysia Data Wrangling Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing volume and variety of data generated by businesses in Malaysia |
4.2.2 Growing adoption of data analytics and business intelligence tools in the Malaysian market |
4.2.3 Rising importance of data quality and accuracy in decision-making processes in Malaysia |
4.3 Market Restraints |
4.3.1 Lack of skilled professionals proficient in data wrangling techniques in Malaysia |
4.3.2 Data privacy and security concerns hindering data wrangling practices in the market |
5 Malaysia Data Wrangling Market Trends |
6 Malaysia Data Wrangling Market, By Types |
6.1 Malaysia Data Wrangling Market, By Business Function |
6.1.1 Overview and Analysis |
6.1.2 Malaysia Data Wrangling Market Revenues & Volume, By Business Function , 2021-2031F |
6.1.3 Malaysia Data Wrangling Market Revenues & Volume, By Marketing and Sales, 2021-2031F |
6.1.4 Malaysia Data Wrangling Market Revenues & Volume, By Finance, 2021-2031F |
6.1.5 Malaysia Data Wrangling Market Revenues & Volume, By Operations, 2021-2031F |
6.1.6 Malaysia Data Wrangling Market Revenues & Volume, By HR, 2021-2031F |
6.1.7 Malaysia Data Wrangling Market Revenues & Volume, By Legal, 2021-2031F |
6.2 Malaysia Data Wrangling Market, By Component |
6.2.1 Overview and Analysis |
6.2.2 Malaysia Data Wrangling Market Revenues & Volume, By Tools, 2021-2031F |
6.2.3 Malaysia Data Wrangling Market Revenues & Volume, By Services, 2021-2031F |
6.3 Malaysia Data Wrangling Market, By Deployment Model |
6.3.1 Overview and Analysis |
6.3.2 Malaysia Data Wrangling Market Revenues & Volume, By On-premises, 2021-2031F |
6.3.3 Malaysia Data Wrangling Market Revenues & Volume, By Cloud, 2021-2031F |
6.4 Malaysia Data Wrangling Market, By Industry Vertical |
6.4.1 Overview and Analysis |
6.4.2 Malaysia Data Wrangling Market Revenues & Volume, By BFSI, 2021-2031F |
6.4.3 Malaysia Data Wrangling Market Revenues & Volume, By Telecom and IT, 2021-2031F |
6.4.4 Malaysia Data Wrangling Market Revenues & Volume, By Retail and eCommerce, 2021-2031F |
6.4.5 Malaysia Data Wrangling Market Revenues & Volume, By Healthcare and Life Sciences, 2021-2031F |
6.4.6 Malaysia Data Wrangling Market Revenues & Volume, By Travel and Hospitality, 2021-2031F |
6.4.7 Malaysia Data Wrangling Market Revenues & Volume, By Government, 2021-2031F |
6.4.8 Malaysia Data Wrangling Market Revenues & Volume, By Energy and Utilities, 2021-2031F |
6.4.9 Malaysia Data Wrangling Market Revenues & Volume, By Energy and Utilities, 2021-2031F |
6.5 Malaysia Data Wrangling Market, By Organization Size |
6.5.1 Overview and Analysis |
6.5.2 Malaysia Data Wrangling Market Revenues & Volume, By Large enterprises, 2021-2031F |
6.5.3 Malaysia Data Wrangling Market Revenues & Volume, By Small and Medium-sized Enterprises (SMEs), 2021-2031F |
7 Malaysia Data Wrangling Market Import-Export Trade Statistics |
7.1 Malaysia Data Wrangling Market Export to Major Countries |
7.2 Malaysia Data Wrangling Market Imports from Major Countries |
8 Malaysia Data Wrangling Market Key Performance Indicators |
8.1 Average time taken to clean and prepare data for analysis |
8.2 Percentage of data errors identified and corrected during the wrangling process |
8.3 Rate of adoption of data wrangling tools and technologies in Malaysian businesses |
9 Malaysia Data Wrangling Market - Opportunity Assessment |
9.1 Malaysia Data Wrangling Market Opportunity Assessment, By Business Function , 2021 & 2031F |
9.2 Malaysia Data Wrangling Market Opportunity Assessment, By Component , 2021 & 2031F |
9.3 Malaysia Data Wrangling Market Opportunity Assessment, By Deployment Model, 2021 & 2031F |
9.4 Malaysia Data Wrangling Market Opportunity Assessment, By Industry Vertical, 2021 & 2031F |
9.5 Malaysia Data Wrangling Market Opportunity Assessment, By Organization Size, 2021 & 2031F |
10 Malaysia Data Wrangling Market - Competitive Landscape |
10.1 Malaysia Data Wrangling Market Revenue Share, By Companies, 2024 |
10.2 Malaysia Data Wrangling Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |
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