APAC Data Wrangling Market Size (2024 - 2029)

The Asia-Pacific data wrangling market is experiencing significant growth driven by the increasing volume of data and advancements in AI and big data technologies. The region's focus on data integrity and the need for actionable insights are propelling the adoption of data wrangling solutions across various industries. Despite the lower adoption rate compared to North America, the market is attracting global technology vendors due to the emerging opportunities in data analytics and IoT. The COVID-19 pandemic has further underscored the importance of data wrangling in managing and interpreting vast amounts of data for effective decision-making.

Market Size of APAC Data Wrangling Industry

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Asia-Pacific Data Wrangling Market
Study Period 2019 - 2029
Base Year For Estimation 2023
Forecast Data Period 2024 - 2029
Historical Data Period 2019 - 2022
CAGR 16.00 %
Market Concentration High

Major Players

APAC Data Wrangling Market Major Players

*Disclaimer: Major Players sorted in no particular order

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APAC Data Wrangling Market Analysis

The Asia-Pacific data wrangling market is expected to register a CAGR of 16% during the forecast period (2021 - 2026). The growing volumes of data, advancement in AI and big data technologies, growing concern about data integrity, and increasing need for more useful insights are some of the major factors driving the data wrangling solution and services across Asia-Pacific.

  • Rapid growth in the volume and integrity of data generated over various industry verticals in the region has led to the adoption of advanced analytics algorithms to choose insights that could transform a business entity. The regional advancement in data analytics technology is opening new opportunities for business development that deals with assembling and transforming newly acquired data into an appropriate and usable form. Therefore, data-wrangling technology is witnessing increasing adoption in the region, across many consumer-centric businesses.
  • In the studied market, the region is also seeing a trend where regional enterprises have been trying to adopt a more data-driven approach with the help of automation tools. By automating complex data engineering tasks, data wrangling solutions can harness the collective intelligence of the organizations. Major APAC countries, such as China, Australia, Japan, and Singapore, have a boom of start-ups with big data and analytics as their platforms. With the rapid adoption of IoT devices, the APAC region is expected to witness tremendous growth during the forecast period.
  • The emergence of Big Data across many end-user industry verticals and the increasing need to incorporate AI and ML technologies to gain the ultra-competitive advantage are fuelling the demand for the data Wrangling market in the Asia Pacific over the forecast period. The adoption of data wrangling solutions in the Asia Pacific is not as high as in developed regions like North America. However, the recent developments in the region are attracting many global and US-based high-end technologies vendors of the studied market. US-based data-wrangling vendor, Trifacta, is one such example.
  • In September 2019, Trifacta secured USD 100 million in financing from its new investors, including Telstra Ventures, Energy Impact Partners, NTT DOCOMO Ventures, BMW iVentures, and ABN AMRO Digital Impact Fund which also includes additional investment from existing investors, including Accel Partners, Cathay Innovation, Google, Greylock Partners, Ignition Partners, and Infosys. According to the company, the new capital will fuel the adoption of the company's data wrangling platform. It will also accelerate the company's continued expansion into new geographies, especially the Asia Pacific, as telecom vendors Telstra and NTT DOCOMO are increasingly trying to capture the regional market.
  • The COVID-19 pandemic has created a tidal wave of data. As countries and cities in the region are struggling to grab hold of the scope and scale of the problem, tech corporations and data aggregators have stepped up, filling the gap with dashboards measuring social distancing with the help of the on-location data from mobile phone apps and cell towers, contact-tracing apps using geolocation services and Bluetooth, and modeling efforts to predict epidemic burden and hospital needs. Bad data could produce serious missteps with consequences for millions. Data-wrangling could be deployed for cleaning, structuring, and enriching raw data into the desired format for better decision making in less time and more accurate insights.

APAC Data Wrangling Industry Segmentation

Data wrangling, which is also called as data munging, is the process of mapping and transforming data from one raw data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes analytics. The process may include data visualization, data aggregation, training a statistical model, as well as many other potential uses based on the requirement.

By Component
Tools
Services
By Deployment
On-premises
Cloud
By Enterprise Type
Large Enterprise
Small and Medium Enterprise
By End-User Industry
IT and Telecommunication
Retail
Government
BFSI
Healthcare
Other End-user Industries
By Country
China
Japan
Australia
Singapore
Rest of Asia-Pacific
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APAC Data Wrangling Market Size Summary

The Asia-Pacific data wrangling market is experiencing significant growth, driven by the increasing volume of data and advancements in AI and big data technologies. The region's focus on data integrity and the need for actionable insights are propelling the adoption of data wrangling solutions across various industries. As businesses in countries like China, Australia, Japan, and Singapore embrace a data-driven approach, the demand for automated data engineering tools is rising. This trend is further fueled by the proliferation of IoT devices, which is expected to contribute to substantial market expansion. Despite the lower adoption rates compared to developed regions like North America, the Asia-Pacific market is attracting global technology vendors, eager to capitalize on the region's burgeoning demand for data wrangling solutions.

China, in particular, is emerging as a key player in the data wrangling market, with significant investments in AI technologies and a strategic push towards digital transformation. The country's initiative to establish industrial big data centers is set to enhance its manufacturing sector, thereby positively impacting the data wrangling market. Additionally, the rapid urban development and the need for efficient urban planning solutions are driving the adoption of data wrangling tools in China. The COVID-19 pandemic has further underscored the importance of data wrangling in managing and analyzing vast amounts of data for public health purposes. As organizations increasingly move towards cloud-based environments, data wrangling solutions are becoming essential for streamlining machine learning applications and improving organizational efficiency.

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APAC Data Wrangling Market Size - Table of Contents

  1. 1. MARKET DYNAMICS

    1. 1.1 Market Drivers

    2. 1.2 Market Restraints

  2. 2. MARKET SEGMENTATION

    1. 2.1 By Component

      1. 2.1.1 Tools

      2. 2.1.2 Services

    2. 2.2 By Deployment

      1. 2.2.1 On-premises

      2. 2.2.2 Cloud

    3. 2.3 By Enterprise Type

      1. 2.3.1 Large Enterprise

      2. 2.3.2 Small and Medium Enterprise

    4. 2.4 By End-User Industry

      1. 2.4.1 IT and Telecommunication

      2. 2.4.2 Retail

      3. 2.4.3 Government

      4. 2.4.4 BFSI

      5. 2.4.5 Healthcare

      6. 2.4.6 Other End-user Industries

    5. 2.5 By Country

      1. 2.5.1 China

      2. 2.5.2 Japan

      3. 2.5.3 Australia

      4. 2.5.4 Singapore

      5. 2.5.5 Rest of Asia-Pacific

APAC Data Wrangling Market Size FAQs

The APAC Data Wrangling Market is projected to register a CAGR of 16% during the forecast period (2024-2029)

Trifacta Software Inc., TIBCO Software Inc., Oracle Corporation, Teradata Corporation and Talend Inc. are the major companies operating in the APAC Data Wrangling Market.

APAC Data Wrangling Market Size & Share Analysis - Growth Trends & Forecasts (2024 - 2029)