Data Wrangling Market Statistics, 2026
The global data wrangling market size was valued at $1,458.69 million in 2018 and is projected to reach $5,581.18 million by 2026, growing at a CAGR of 18.40% from 2019 to 2026. Data wrangling implies to the process of cleaning, restructuring, and enhancing the available raw data into the desired format to enable informed & better decision making in less time. As the complex data sets can be a barrier for data analysis. Thus, data wrangling has transformed the process, changing tedious, time-consuming attempts to master various data sources. The advantage of data wrangling is that it can be structured into a standardized and repeatable process that transforms data sources in a common format, which can be used again multiple times.
Key Market Drivers:
The data wrangling market trends include increase in volume and velocity of data across the organizations and technological advancement such as AI and machine learning technologies in data wrangling drives the growth of the market. In addition, growth of edge computing solutions fuels the growth of the market. However, reluctance to shift from traditional ETL tools to advance automated tools hampers the growth of the market. Furthermore, increasing regulatory pressure among the enterprises is expected to present major opportunities for the expansion of the market in future.
By Component
Solution is projected as one of the most lucrative segments.
The BFSI sector dominated the data wrangling market in 2018 and is projected to maintain its dominance during the forecast period, owing to the adoption of data wrangling technology among banks to focus on relationships in banking data to uncover patterns of suspicious fraudster activity. Furthermore, the retail & e-commerce sector is expected to grow at a significant CAGR during the forecast period, owing to the adoption of data wrangling technology among the e-commerce industry for delivering real-time recommendations to the online shoppers.
By Deployment Mode
On-Premise is projected as one of the most lucrative segments.
Report Coverage:
The report focuses on the growth prospects, restraints, and trends of the data wrangling market analysis. The study provides Porter’s five forces analysis to understand the impact of various factors such as bargaining power of suppliers, competitive intensity of competitors, threat of new entrants, threat of substitutes, and bargaining power of buyers on the data wrangling market.
By Organization Size
Large enterprise is projected as one of the most lucrative segments.
Market Segmentation:
The global data wrangling market is segmented into component, deployment model, organization size, business function, industry vertical, and region. In terms of component, it is bifurcated into solution and service. Based on deployment model, the market is segmented into on-premise and cloud. By organization size, it is divided into large enterprises and small-and medium-sized enterprises (SME’s). In terms of business function, the market is classified into finance, marketing & sales, operations and human resources. As per industry vertical, the market is segmented into BFSI, government & public sector, healthcare & life science, retail and e-commerce, media & entertainment, energy & utilities, IT & telecom, manufacturing, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
By Industry Vertical
BFSI is projected as one of the most lucrative segments.
The report analyses the profiles of key players operating in the market IBM Corporation, Oracle Corporation, SAS institute, Tibco Software, Hitachi Vantara, Teradata Corporation, Alteryx, Impetus, Trifacta Software Inc., and Paxata Inc. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.
By Business Function
Operations is projected as one of the most lucrative segments.
Top Impacting Factors
Numerous Benefits Provided by Data Wrangling Solutions
Ability of big data analytics software to deliver better and faster decision-making and to provide competitive advantage by analyzing & acting upon information in a timely manner propels the growth of the market. In addition, the demand for big data analytics software is continuously increasing, owing to the benefits offered such as easy access to vital business metrics, useful insight on customer behavior, increased revenue, improved efficiency, and others. Furthermore, companies are adopting data wrangling for real-time forecasting and monitoring of various occasions that may affect the performance of the organizations. In addition, ability of the solution to mitigate risks by optimizing complex decisions about unplanned events such as cyberattacks, and other crisis more quickly propel the growth of the data wrangling market.
Lack of Awareness of Data Wrangling Tools Among SMEs
Lack of awareness about the product and higher penetration of traditional ETL tools is restraining the market growth. In addition, data wrangling is used to gain meaningful insights from raw data and to solve time sensitive business scenario with the adoption of different emerging technologies such as machine learning and big data analytics. Thus, organization are lacking the appropriate functionality for adopting this technology among businesses, which in turns hampers the growth of the market. Furthermore, lack of awareness of data wrangling techniques among the organization in emerging countries such as China and India, hinder the growth of the market. In addition, high cost of associated with the implementation of wrangling technology hampers the growth of the market.
By Region
Asia-Pacific would exhibit the highest CAGR of 20.90% during 2019-2026.
Key Benefits for Stakeholders:
- The study provides an in-depth analysis of the global data wrangling market along with the current & future trends to elucidate the imminent investment pockets.
- Information about key drivers, restrains, and opportunities and their impact analysis on the market size is provided in the report.
- Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
- The quantitative analysis of the global data wrangling market from 2019 to 2026 is provided to determine the market potential.
Data Wrangling Market Report Highlights
| Aspects | Details |
 By Component |
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 By Deployment Mode |
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 By Organization Size |
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 By Business Function |
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 By Industry Vertical |
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 By Region |
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 Key Market Players | Trifacta, Impetus Technologies, Inc., Teradata Corporation, Alteryx, Inc., Paxata, Inc., International Business Machines Corporation, Hitachi Vantara Corporation, SAS Institute Inc., TIBCO Software Inc., Oracle Corporation |
Analyst Review
The adoption of data wrangling is increasing owing to rise in demand for structured data from organizations and need for cleaning, enriching, and structuring raw data into meaningful format. In addition, data wrangling provides various advantages such as providing advance security to confidential information and increasing the safety of data from various cyber-attacks. Furthermore, increase in volume and velocity of data across the organizations and technological advancement such as AI and machine learning technologies in data wrangling, drives the growth of the market. In addition, growth of edge computing solutions fuels the growth of the market. However, reluctance to shift from traditional ETL tools to advance automated tools hampers the growth of the market. Furthermore, increasing regulatory pressure among the enterprises is expected to present major opportunities for the expansion of the market in future
The data wrangling market is consolidated with the presence of key vendors such as IBM Corporation. North America and Europe are the prime users of these systems. However, Asia-Pacific is expected to experience significant growth in the near future, owing to increase in adoption of IoT devices and rapid adoption of smart cities in the emerging countries of Asia-Pacific. Some of the key players profiled in the report include IBM Corporation, Oracle Corporation, SAS institute, Tibco Software, Hitachi Vantara, Teradata Corporation, Alteryx, Impetus, Trifacta Software Inc., and Paxata Inc. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.
The size of Data wrangling market by 2026 will be $5581.18 million.
The size of Data wrangling market in 2018 was $1458.69 million.
To get more insights and Competitive landscape.
The CAGR of Data wrangling Market by 2026 will be 18.4%
The revenue generated by the Data wrangling market by the end of 2026 will be $5581.18 million
The top ten market players are selected based on two key attributes - competitive strength and market positioning
Increase in volume and velocity of data across the organizations and technological advancement such as AI and machine learning technologies in data wrangling drives the growth of the market
North America will provide more business opportunities during forecast period
Increasing regulatory pressure among the enterprises is expected to present major opportunities for the expansion of the market in future
The report analyses the profiles of key players operating in the market IBM Corporation, Oracle Corporation, SAS institute, Tibco Software, Hitachi Vantara, Teradata Corporation, Alteryx, Impetus, Trifacta Software Inc., and Paxata Inc.
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