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The data wrangling market share is expected to increase to USD 1.30 billion from 2021 to 2026, and the market's growth momentum will accelerate at a CAGR of 14.06%.
The report extensively covers data wrangling market segmentation by the following:
The data wrangling market report offers information on several market vendors, including Altair Engineering Inc., Alteryx Inc., Dataiku Inc., DataRobot Inc., eXalt Solutions Inc., Hitachi Ltd., Ideata Analytics, Impetus Technologies Inc., Innovative Routines International (IRI) Inc., International Business Machines Corp., Medallia Inc., Microsoft Corp., Oracle Corp., Rapid Insight Inc., SAS Institute Inc., Teradata Corp., TIBCO Software Inc., Wipro Ltd., Zoho Corp. Pvt. Ltd., and Dell Technologies Inc. among others.
This data wrangling market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches.
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The numerous benefits provided by data wrangling solutions is notably driving the data wrangling market growth, although factors such as lack of awareness of data wrangling tools among SMEs may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the data wrangling industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.
Key Data Wrangling Market Driver
One of the key factors driving growth in the data wrangling market is the numerous benefits provided by data wrangling solutions. The ability of big data analytics software to deliver better and fast decision-making and provide a competitive advantage by analyzing and acting upon information in a processed manner propels the growth of the market. The demand for big data analytics software is continuously increasing, owing to the benefits offered, such as easy access to vital business metrics and the extraction of useful insight on customer behavior, which helps in increasing revenue and improving efficiency. Companies are also adopting data wrangling solutions for real-time forecasting and monitoring of various occasions that may affect the performance of the organizations. Therefore, the ability of data wrangling solutions to mitigate risks by optimizing complex decisions about unplanned events such as cyberattacks and other crises more quickly will further drive the growth of the market.
Key Data Wrangling Market Trend
The rising growth in the healthcare sector is one of the key data wrangling market trends fueling the market growth. The healthcare sector faces a number of challenges, such as disease outbreaks and managing the finest operational efficiency. The large scale of data available in the healthcare vertical such as disease details, personal information, medical history, treatment, and payment data of patients are made that need to prepare, clean, and set in an appropriate format for the analysis purpose. Data wrangling could aid in solving such healthcare challenges. In 2020, the outbreak of COVID-19 led to the admission of many new patients in hospitals across the world. This has generated a huge amount of data. This has significantly boosted the government expenditure on the healthcare industry to boost the efficiency of their respective healthcare sectors. Hence, the adoption of data wrangling tools in the healthcare sector is further expected to grow.
Key Data Wrangling Market Challenge
The lack of awareness of data wrangling tools among SMEs will be a major challenge for the data wrangling market during the forecast period. Data wrangling solutions are used to gain meaningful insights from raw data and to solve time-sensitive business scenarios by adopting different emerging technologies such as machine learning and big data analytics. Small and medium-sized enterprises (SMEs) are still using conventional ETL tools due to their easy-to-use nature and low cost. Furthermore, SMEs lack the appropriate functionality for adopting this technology among businesses, which hampers the growth of the market. Moreover, the lack of awareness of data wrangling techniques among the SMEs in developing countries such as China and India, which have a high number of organizations, will further hinder the growth of the market.
This data wrangling market analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2022-2026.
The report analyzes the market's competitive landscape and offers information on several market vendors, including:
This statistical study of the data wrangling market encompasses successful business strategies deployed by the key vendors. The data wrangling market is fragmented and the vendors are deploying growth strategies such as partnerships, research and development (R & R&D), collaboration, mergers and acquisitions (M&A), and product innovation to compete in the market.
altair.com - The company provides novel cell therapies to people with cancer.
To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.
The data wrangling market forecast report offers in-depth insights into key vendor profiles. The profiles include information on the production, sustainability, and prospects of the leading companies.
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37% of the market's growth will originate from North America during the forecast period. The US is the key market for data wrangling in North America. Market growth in this region will be faster than the growth of the market in the Southe American and MEA regions.
The high adoption of advanced technology in various service sectors such as BFSI, government, and public will facilitate the data wrangling market growth in North America over the forecast period. This market research report entails detailed information on the competitive intelligence, marketing gaps, and regional opportunities in store for vendors, which will assist in creating efficient business plans.
COVID Impact and Recovery Analysis
The outbreak of COVID-19 has driven the growth of the data wrangling industry as many firms have begun to embrace a work-from-home and remote working culture, which has resulted in a massive quantity of data and prospects for data wrangling. As a result, firms have begun to implement data wrangling solutions to manage important data, improve data security, and maximize company efficiency.
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The data wrangling market share growth by the BFSI segment will be significant during the forecast period. The banking, financial services and insurance (BFSI) sector has been increasingly using data wranglers that optimize operational processes and inform agents on how to interact with customers online in the best possible way. Due to the rising adoption of digitization in the BFSI sector, the services through online portals have significantly improved, which has allowed banking, financial services, and insurance to better serve their consumers. This has resulted in the generation of big data making it imperative for such institutions to have solutions such as data wrangling that allow them to systematically structure the data generated.
This report provides an accurate prediction of the contribution of all the segments to the growth of the data wrangling market size and actionable market insights on post COVID-19 impact on each segment.
Technavio categorizes the global data wrangling market as a part of the global data processing and outsourced services market within the global IT services market. Our research report has extensively covered external factors influencing the parent market growth potential in the coming years, which will determine the levels of growth of the data wrangling market during the forecast period.
Our report provides extensive information on the value chain analysis for the data wrangling market, which vendors can leverage to gain a competitive advantage during the forecast period. The end-to-end understanding of the value chain is essential in profit margin optimization and evaluation of business strategies. The data available in our value chain analysis segment can help vendors drive costs and enhance customer services during the forecast period.
Green Data Center market - The market share is expected to increase by USD 76.59 billion from 2020 to 2025, and the market's growth momentum will accelerate at a CAGR of 19.48%.
Data Wrangling Market Scope |
|
Report Coverage |
Details |
Page number |
120 |
Base year |
2021 |
Forecast period |
2022-2026 |
Growth momentum & CAGR |
Accelerate at a CAGR of 14.06% |
Market growth 2022-2026 |
$ 1.30 billion |
Market structure |
Fragmented |
YoY growth (%) |
12.65 |
Regional analysis |
North America, Europe, APAC, Middle East and Africa, and South America |
Performing market contribution |
North America at 37% |
Key consumer countries |
US, China, Japan, UK, and Germany |
Competitive landscape |
Leading companies, Competitive strategies, Consumer engagement scope |
Key companies profiled |
Altair Engineering Inc., Alteryx Inc., Dataiku Inc., DataRobot Inc., eXalt Solutions Inc., Hitachi Ltd., Ideata Analytics, Impetus Technologies Inc., Innovative Routines International (IRI) Inc., International Business Machines Corp., Medallia Inc., Microsoft Corp., Oracle Corp., Rapid Insight Inc., SAS Institute Inc., Teradata Corp., TIBCO Software Inc., Wipro Ltd., Zoho Corp. Pvt. Ltd., and Dell Technologies Inc. |
Market dynamics |
Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and recovery analysis and future consumer dynamics, Market condition analysis for the forecast period |
Customization purview |
If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized. |
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1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Five Forces Analysis
5 Market Segmentation by Sector
6 Customer Landscape
7 Geographic Landscape
8 Drivers, Challenges, and Trends
9 Vendor Landscape
10 Vendor Analysis
11 Appendix
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