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Data Wrangling Market to Reach USD 5.58 Billion| Mastering Chaos: How Data Wrangling Is Reshaping Data Management

10-31-2023 07:35 AM CET | IT, New Media & Software

Press release from: Allied Market Research (AMR)

Data Wrangling Market

Data Wrangling Market

Increase in adoption of big data analytics software by multiple organizations, rise in demand for cloud-based big data analytics software among SMEs, and several advantages provided by data wrangling solutions fuel the growth of the global data wrangling market. On the other hand, lack of awareness regarding data wrangling tools among SMEs, and concerns regarding the data quality issues curb the growth to some extent. Nevertheless, development of edge computing is expected to create multiple opportunities in the industry.

As per the report, the global data wrangling market was estimated at $1.45 billion in 2018 and is expected to reach $5.58 billion by 2026, growing at a CAGR of 18.4% from 2019 to 2026.

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Data wrangling involves the procedures of cleansing, reconfiguring, and enriching raw data to achieve a desired format, enabling more informed and efficient decision-making. This is particularly valuable when dealing with intricate datasets that can otherwise impede the data analysis process. Consequently, data wrangling has revolutionized this operation, replacing laborious and time-consuming efforts to harmonize diverse data sources. One key benefit of data wrangling is its capacity to establish a consistent and reproducible procedure for converting data sources into a standardized format, facilitating their repeated use across multiple instances.

The expansion of the market is driven by the capability of big data analytics software to enhance decision-making processes and gain a competitive edge through timely data analysis and action. Furthermore, the persistent rise in demand for big data analytics software is attributable to its advantages, including easy access to critical business metrics, valuable insights into customer behavior, increased revenue, and enhanced operational efficiency. Additionally, organizations are increasingly embracing data wrangling to enable real-time forecasting and monitoring of various events that could impact their performance. Moreover, the solution's capacity to expedite complex decision-making in response to unforeseen occurrences like cyberattacks and crises serves as an additional catalyst for the growth of the data wrangling market.

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Limited awareness about the product and the widespread use of traditional ETL tools are constraining market expansion. Additionally, data wrangling is instrumental in extracting valuable insights from raw data, addressing time-sensitive business challenges with the integration of emerging technologies like machine learning and big data analytics. Consequently, organizations may lack the necessary capabilities to embrace this technology, impeding market growth. Moreover, the absence of awareness regarding data wrangling techniques in emerging economies such as China and India acts as a hindrance. Additionally, the high implementation costs associated with wrangling technology further deter market growth.

Based on component, the solution segment held the major share in 2018, garnering nearly three-fourths of the global data wrangling market. The fact that data wrangling solutions are cheaper than other solutions and are faster to deploy has driven the growth of the segment. The service segment, on the other hand, would grow at the fastest CAGR of 20.8% throughout the forecast period. Rise in need of various services such as managed and professional services propels the segment growth.

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Based on deployment, the on-premise segment contributed to nearly three-fifths of the global data wrangling market share in 2018, and is projected to dominate by the end of 2026. Increase in adoption of these systems due to enhanced security features provided by them has boosted the segment growth. Simultaneously, the cloud segment would cite the fastest CAGR of 20.1% from 2019 to 2026, owing to different services provided by the cloud.

Based on region, North America accounted for nearly two-fifths of the global data wrangling market revenue in 2018, and is anticipated to maintain the lion's share by 2026, owing to its adoption among businesses in the region to effectively prepare data for getting accurate analytics for informed decision making. At the same time, Asia-Pacific would manifest the fastest CAGR of 20.9% during the study period. This is due to rise in digitalization in emerging economies such as China and India.

Access the full summary at: https://www.alliedmarketresearch.com/data-wrangling-market

Leading Market Players:

➢ Alteryx
➢ Oracle Corporation
➢ Paxata Inc.
➢ SAS institute
➢ Tibco Software
➢ Hitachi Vantara
➢ Teradata Corporation
➢ IBM Corporation
➢ Impetus
➢ Trifacta Software Inc.

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