Data Wrangling Market By Business Function (Marketing And Sales, Finance), By Component (Tools, Services), By Deployment Model (Cloud, On-Premises), By Organization Size (Large Enterprises, Small And Medium-Sized Enterprises), By End User (Automotive And Transportation, Banking), and Region (North America, Europe, Asia Pacific, Middle East and Africa, and South America), Global Forecast 2022 to 2032.

Data wrangling is predicted to have a market value of US$ 2.5 billion in 2022 and increase at a 14.29% compound annual growth rate (CAGR) to US$ 7.7 billion by 2032.

Global Data Wrangling Market

The term 'Data wrangling’ is refers to a mobile mapping and transforming of data from raw format to another form with the objective of making it more appropriate as well as valuable for advanced tasks such as machine learning (ML) and Data Analytics outsourcing. In addition, data wrangling is also known as the process of restructuring, enriching, and cleaning the unprocessed data into the stable format. However, this data will aid scientists to make faster decision-making processes, and therefore it will offer higher insights in less amount of time. Moreover, this process is being followed by the huge range of leading organizations across the field, partly due to the benefits it offers a huge amount of data that is to be analyzed. In addition to this, cleaning and organizing data before analysis are very useful and it aids organizations to analyze a huge range of data at a faster speed. Likewise, huge growth in the range of data produced in the industries has led to the growing acceptance of advanced analytics algorithms to get greater outcomes that could convert a business entity.

In addition, disinclination to move from conventional ETL tools to modern computerized tools will be one of the major factors which will edge the growth of the global data wrangling market over the prediction period. Likewise, limited levels of awareness between various small scale enterprises as well as concerns regarding the data quality are some of the major factors which will hamper the flawless expansion of the global data wrangling market. The huge number of different data issues faced by data analyzers are conflicting representations of eh similar data, incorrect data, missing data, overly sanitizing data, and the need for human interference for data issues. However, visualization is a technique that is used to recognize raw data or the type of data issues. In addition to this, some of the visual representations are a node-link diagram, matrix view, as well as a sorted matrix view.

Key Market Dynamics

The global data wrangling market is witnessing substantial growth owing to the growingly huge amount of data in the number of industrial businesses such as IT & telecommunication, finance, and many others. In addition, such industries are implementing data wrangling for identifying concerns regarding the inconsistent data and recognize the data pattern. On the other hand, data wrangling provides any data transformations that are necessary to make a dataset for downstream analysis, operational consumption, as well as visualization. Thus, the more adoption of automation tools than the conventional ETL tools will hinder the demand for the global data wrangling market growth. The self-service data generation model is one of the major factors that is boosting the data wrangling market growth across the world. In addition, this model helps companies to clean the data collections through themselves without any concerns of data scientists. However, this factor has efficiently allowed the executives in the company to attract more business insights with no intervention of the IT teams.

In addition to this, the significance of big data in the organizations and the coordination of machine learning as well as artificial intelligence technologies with data wrangling tools is also expected to boost the growth of the global data wrangling market over the forecast period. O the other hand, efforts made to keep the quality of data, as well as lack of knowledge regarding the data wrangling tools, are some of the other factors that are expected to limit the development of the global data wrangling market during the prediction period. Furthermore, increasing regulations and rapid development of edge computing are offering several market growth opportunities for the global data wrangling market.

Healthcare & Life Sciences segment is expected to the highest market share over the forecast period

The healthcare industry faces a huge number of challenges, from disease outbreaks to managing finest operational efficiency. In addition, data wrangling could aid in solving such healthcare challenges. However, with the large scale of data available in the healthcare vertical such as disease details, personal information, medical history, treatment, as well as payment data are made that need to prepare, clean and set in an appropriate format for the analysis purpose. On the other hand, data wrangling tools will be adopted with a high range with the growing digitalization in the healthcare and life sciences segments.

Global Data Wrangling Market Segmentation

The global data wrangling market is categorized into the number of different segments including by business function, by component, by deployment, by the organization, vertical, and by regional. In terms of business function, the market is segregated into operations, marketing and sales, HR, finance, and legal. In terms of components, the global data wrangling market is fragmented into services as well as tools. On considering the deployment model, the market is segregated into cloud and on-premises. According to the organization size, the global data wrangling market is sub-divided into large enterprises and small and medium scale enterprises. On considering the vertical, the market is segregated into telecom & IT, BFSI, healthcare & life sciences, retail & eCommerce, government, travel & hospitality, manufacturing, transportations and logistics, energy & utility, and many others.

On considering the geographical landscape, the global data wrangling market is sub-divided into Europe, Asia Pacific, North America, Middle East, and Africa, and Latin America. Out of these, the North American region for data wrangling market is expected to account for the highest market share in the year 2017. In addition, this region is known for the huge number of leading providers for data wrangling as well as data analytics tools which may include Hitachi Vantara, IBM, SAS, Oracle, and Trifacta which have their HQs and direct selling offices situated across the region. In addition to this, the Asia Pacific region is also expected to grow at the largest share in the data wrangling market across the globe over the forecast period. With an increasing number of smart cities as well as acceptance of IoT devices, the Asia Pacific region is anticipated to witness a significant growth rate during the prediction period.

Competitive Landscape of the Global Data Wrangling Market

The global market for data wrangling is very fragmented as the huge number of leading players implementing several growth strategies to gain their competitive advantage such as partnerships, research, and development, collaboration, merger & acquisition, as well as innovation. However, such strategies aid them in extending their revenues across the regions and gain the consumer base of the service providers. In addition, some of the major players operating in the global data wrangling market are Datawatch, Trifacta, IBM, Dataiku, Oracle, SAS Institute, Altryx, Talend, TIBCO, Informatica, Paxata, Hitachi Vantara, Unifi, Cooladata, Teradata, Rapid Insight, Datameer, Impetus, Zaloni, Infogix, Ideata Analytics, IRI, One dot, and many others.

Major Market Movements

• By allowing the user to clean and validate data in the industry, the entire process is made more accurate and trustworthy
• Leading players of the global data wrangling market are looking forward to the new advancements in the industry with less time in cleaning data to result in more time in analyzing data
• The rise of data-interchange formats such as JSON presents challenges as organizations should clean, parse and unite data from new, legacy and laborious to access sources so as to present a consistent read of external realities.

Key Market Deliverables

• Market size and forecast of the global data wrangling market for the period from 2015-2025, with CAGR for the period from 2019-2025
• In-depth market assessment across the considered segmentation and regions
• Analysis of the major market dynamics such as drivers, challenges, and opportunities
• Scrutiny of the overall competitive scenario based on market assessment tools
• Profiles of key market players based on parameters such as company overview, financial status, product offering, and key developments.
• The report offers a complete analysis of qualitative and quantitative market shares, market growth drivers, and market restraining factors according to the regions.

Data Wrangling Market Scope

Data Wrangling Market By Business Function: