APAC Data Wrangling Market Size (2024 - 2029)

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.