Data Wrangling Market Size
| Study Period | 2018-2028 |
| Base Year For Estimation | 2022 |
| CAGR | 9.65 % |
| Fastest Growing Market | Asia-Pacific |
| Largest Market | North America |
| Market Concentration | High |
Major Players
*Disclaimer: Major Players sorted in no particular order |
Need a report that reflects how COVID-19 has impacted this market and its growth?
Data Wrangling Market Analysis
The data wrangling market is anticipated to register a CAGR of 9.65% during the forecast period. The creation of various automated technologies has already enhanced and improved the data-wrangling procedure. The industry would create more complex AI solutions during the forecast period to assist the processes of data wrangling and data analysis.
- The adoption of sophisticated analytics algorithms to choose insights that might revolutionize a business entity results from the rapid development in the quantity and reliability of data collected throughout many industrial verticals. Massive amounts of unstructured data have also been produced due to the surge in Big Data usage. Applications for iterative and interactive data wrangling may identify distributions and inconsistencies and suggest process improvement.
- Data manipulation can offer statistical insights into the metadata by making the information more consistent. Increased metadata consistency makes it possible for automated technologies to examine the data more quickly and precisely, frequently leading to these findings. Data wrangling would clean the information to enable a model to operate without problems, mainly in developing a model about expected market performance.
- Businesses are increasingly using data wrangling for real-time forecasting and monitoring of numerous events that may impact their performance. The market for data wrangling is expanding due to the potential to mitigate risks by executing complicated judgments concerning unplanned occurrences, such as cyberattacks and other emergencies. Also, as more cyberattacks occur, there is a growing demand for data wrangling since it makes data simpler to find and recover.
- Growing concerns about information loss and theft, expanding Bring Your Own Device (BYOD) trends, and business mobility are just a few factors that are significantly accelerating the growth of the data wrangling market.The industry of data wrangling is predicted to benefit significantly from advances in edge computing.
- However, issues with data quality are limiting the market's ability to expand.The data-wrangling industry is anticipated to face challenges due to a lack of readiness to switch from conventional ETL tools to cutting-edge automated technologies. Further, one of the key obstacles to this market's expansion is the lack of knowledge about data-wrangling tools among small and medium-sized businesses.
- The COVID-19 epidemic brought on a considerable data influx. Technological firms and data aggregators exploited local data from cell towers and mobile applications to impose social segregation and close the gaps using dashboards that monitored and tracked contacts. Applications predicted hospital requirements and epidemic burden using Bluetooth, modeling efforts, and geolocation services. As a result of the flawed data produced throughout this procedure, millions of people were expected to be negatively impacted. Data wrangling is used to clean, arrange, and enhance raw data into the appropriate format for users to make better decisions more quickly and accurately. As a result, COVID-19's requirement for data wrangling provided market potential for expansion.
Data Wrangling Market Trends
Advancement in AI And Big Data Technologies Expected to Drive the Market Growth
- Machine learning requires the management of large amounts of data. According to InfoQ, data preparation and data munging account for 60% to 80% of the machine learning process. Data munging examines the data that goes into the machine learning model users are creating. Data wrangling is an essential tool that assists in handling clean data, and with clean data to work with, the model would make accurate predictions, failing to accomplish its objective.
- The use of machine learning in the financial sector has also increased as the market for AI software, which is continually expanding, advances. Machine learning has not yet realized its full potential because data manipulation hasn't been completely automated.
- Moreover, according to IBM, the adoption of AI varies amongst businesses, countries, and sectors. While larger firms are twice as likely to have actively used AI as part of their company operations, smaller businesses are less likely. Companies are more likely to investigate AI than actively pursue it. As of 2022, a majority of IT workers in China and India, compared to markets like South Korea (22%), Australia (24%), the United States (25%), and the United Kingdom (26%), believe their organization is already actively employing AI. These two markets are leading the way in the use of AI.
- Businesses are constantly discovering new data kinds as big data continues to progress. Data management, however, keeps becoming a more significant challenge for firms as technology produces more and more data sources. Such companies significantly recognize the importance of data wrangling in the business, thereby driving market growth.
North America is Expected to Hold the Significant Share
- North America is expected to dominate data wrangling during the forecast period, as the region remains one of the most significant contributors to the adoption of data wrangling tools and services.
- The region is expected to witness massive growth along with the application of big data due to the emergence of Industry 4.0 services. Moreover, big data is an enormous phenomenon in the United States, and companies from various industries benefit from collecting, analyzing, and manipulating vast amounts of data from multiple sources.
- The significant shareholding firms are considerably based in the North America region, which significantly drives the market with considerable investments and developments in the region. Companies such as Trifacta, Altair Engineering, Inc., TIBCO Software Inc., Oracle Corporation, SAS Institute Inc., etc., are based in the United States and are actively engaged in the operation of data wrangling in the region.
- The rising technological trends in terms of investments, adoption, and integration of various technologies in the region would significantly create opportunities for data wrangling technology in assisting firms to work effectively in handling huge amounts of data. Further, the increased trends of cloud adoption in the region post-pandemic boosted market growth in the region.
Data Wrangling Industry Overview
The competitive rivalry in the data wrangling market is low owing to the presence of a few key players, such as Alteryx, Inc., Oracle Corporation, and Teradata Corporation, amongst others. Their ability to continually innovate their offerings has allowed them to gain a competitive advantage over others. Through research and development, strategic partnerships, and mergers and acquisitions, these players have gained a stronger footprint in the market.
Talend is a U.S.-based provider of data management solutions, and Qlik, a company with Thoma Bravo funding, announced its plans to buy it in January 2023. The company mentioned that the acquisition would unite two market players with the same goal of enhancing data to provide profitable results for clients. The business expects the proposed combination to create a distinctive, cloud-independent portfolio to assist clients with data wrangling, integration, transformation, and governance demands.
In April 2022, SlyceData, a data solution provider for investment researchers that automates the data wrangling process and offers user-friendly tools for exploring and extracting financial data, and Altada Technology Solutions, a global provider of artificial intelligence (AI) solutions, announced their strategic partnership. The partnership is expected to permit SlyceData to benefit a larger spectrum of financial institutions, and the combined Altada-SlyceData service will give clients access to new data sources. Customers can also intuitively examine, extract, and display their numerous data sources.
Alteryx, Inc. purchased Trifacta in February 2022, a San Francisco-based company that offers cloud-first capabilities to support businesses in accelerating their analytics transformation at scale. Alteryx plans to integrate the firm's low- and no-code analytics solution with Trifacta's cloud-native capabilities to fulfill the analytics demands of business clients, offering multiple deployment choices—on-premises, hybrid, and cloud.
Data Wrangling Market Leaders
Alteryx, Inc.
Oracle Corporation
Teradata Corporation
SAS Institute Inc.
Altair Engineering Inc.
*Disclaimer: Major Players sorted in no particular order
Data Wrangling Market News
- November 2022: Data Wrangler announced an integrated data preparation tool in Amazon SageMaker Studio notebooks that enables ML practitioners to evaluate data characteristics visually, detect concerns, and correct data-quality problems. The company mentioned the solution could be accessed immediately within the notebooks with just a few clicks.
- October 2022: The integration of AI technologies through strategic alliances was announced by Seabury Solutions, a global provider in delivering IT solutions for the aviation sector. The company highlighted using AI to schedule tasks, data wrangling, and forecast revenue potential to improve Aerospace & Defense software.
Data Wrangling Market Report - Table of Contents
1. INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET INSIGHTS
4.1 Market Overview
4.2 Industry Value Chain Analysis
4.3 Industry Attractiveness - Porter's Five Forces Analysis
4.3.1 Bargaining Power of Suppliers
4.3.2 Bargaining Power of Buyers/Consumers
4.3.3 Threat of New Entrants
4.3.4 Threat of Substitute Products
4.3.5 Intensity of Competitive Rivalry
4.4 Assessment of the Impact of COVID-19 on the Market
5. MARKET DYNAMICS
5.1 Market Drivers
5.1.1 Growing Volumes of Data
5.1.2 Advancement in AI And Big Data Technologies
5.1.3 Growing Concern about Data Veracity
5.2 Market Restraints
5.2.1 Lack Of Awareness Of Data Wrangling Tools Among Enterprises
5.2.2 Explicit Data Access Permission
6. MARKET SEGMENTATION
6.1 By Component
6.1.1 Tools
6.1.2 Service
6.2 By Deployment
6.2.1 Cloud-Based
6.2.2 On-premises
6.3 By Enterprise Type
6.3.1 Small and Medium Sized
6.3.2 Large
6.4 By End-user Industry
6.4.1 IT and Telecommunication
6.4.2 Retail
6.4.3 Government
6.4.4 BFSI
6.4.5 Healthcare
6.4.6 Other End-user Industries
6.5 Geography
6.5.1 North America
6.5.1.1 United States
6.5.1.2 Canada
6.5.2 Europe
6.5.2.1 United Kingdom
6.5.2.2 Germany
6.5.2.3 France
6.5.2.4 Rest of Europe
6.5.3 Asia-Pacific
6.5.3.1 China
6.5.3.2 Japan
6.5.3.3 Singapore
6.5.3.4 Rest of Asia-Pacific
6.5.4 Latin America
6.5.4.1 Mexico
6.5.4.2 Brazil
6.5.4.3 Rest of Latin America
6.5.5 Middle East and Africa
6.5.5.1 United Arab Emirates
6.5.5.2 Saudi Arabia
6.5.5.3 Rest of Middle-East & Africa
7. COMPETITIVE LANDSCAPE
7.1 Company Profiles
7.1.1 Alteryx, Inc.
7.1.2 TIBCO Software Inc. (Cloud Software Group, Inc.)
7.1.3 Altair Engineering Inc.
7.1.4 Teradata Corporation
7.1.5 Oracle Corporation
7.1.6 SAS Institute Inc.
7.1.7 Datameer, Inc.
7.1.8 DataRobot, Inc.
7.1.9 Cloudera, Inc.
7.1.10 Cambridge Semantics, Inc.
- *List Not Exhaustive
8. INVESTMENT ANALYSIS
9. MARKET OPPORTUNITIES AND FUTURE TRENDS
Data Wrangling Industry Segmentation
Data wrangling is defined as the process of preparing raw data for analysis by cleaning, arranging, and converting it into the required format. Data wrangling, also known as data cleaning or data munging, helps organizations handle more complicated data in less time, create more accurate results, and make better decisions.
The data wrangling market is segmented by component (tool, service), deployment (cloud-based, on-premises), enterprise type (large, small, and medium-sized), end-user industry (IT and telecommunication, retail, government, BFSI, and healthcare), and geography (North America, Europe, Asia-Pacific, Latin America, and the Middle East and Africa).
The market sizes and forecasts are provided in terms of value (USD million) for all the above segments.
| By Component | |
| Tools | |
| Service |
| By Deployment | |
| Cloud-Based | |
| On-premises |
| By Enterprise Type | |
| Small and Medium Sized | |
| Large |
| By End-user Industry | |
| IT and Telecommunication | |
| Retail | |
| Government | |
| BFSI | |
| Healthcare | |
| Other End-user Industries |
| Geography | ||||||
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Data Wrangling Market Research FAQs
What is the current Data Wrangling Market size?
The Data Wrangling Market is projected to register a CAGR of 9.65% during the forecast period (2023-2028).
Who are the key players in Data Wrangling Market?
Alteryx, Inc., Oracle Corporation, Teradata Corporation, SAS Institute Inc. and Altair Engineering Inc. are the major companies operating in the Data Wrangling Market.
Which is the fastest growing region in Data Wrangling Market?
Asia-Pacific is estimated to grow at the highest CAGR over the forecast period (2023-2028).
Which region has the biggest share in Data Wrangling Market?
In 2023, the North America accounts for the largest market share in the Data Wrangling Market.
Data Wrangling Industry Report
Statistics for the 2023 Data Wrangling market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Data Wrangling analysis includes a market forecast outlook to for 2023 to 2028 and historical overview. Get a sample of this industry analysis as a free report PDF download.
