The global data wrangling market size is expected to grow from US$ 3.42 billion in 2023 to US$ 11.37 billion by 2031; it is anticipated to expand at a CAGR of 16.2% from 2024 to 2031. The growing technological advancements such as AI and machine learning technologies are likely to remain a key data wrangling market trends.
The rising amount and velocity of data across enterprises is propelling the data wrangling industry forward. Businesses require tools and technology to efficiently analyze and manage increasing amounts of data.
Data wrangling is the process of preparing and arranging raw data in such a manner that it is simpler to analyze and extract useful insights. It entails cleaning and reformatting data, as well as supplementing it with new information, so that it may be used efficiently for decision-making. Data wrangling simplifies and saves time by translating complicated data sets into a consistent and repeatable format, allowing organizations to make better informed choices with more efficiency.
The rising amount and velocity of data across enterprises is propelling the data wrangling industry forward. As organizations create and gather more data, there is a greater demand for tools and technology that can efficiently handle and manage it. The velocity of data relates to how rapidly data is created and moved. With the rise of the Internet of Things (IoT) and other connected devices, data is flowing into organizations at an unprecedented rate and must be processed in a timely manner. Organizations want tools and technology that can handle and analyze data in real time as it is created, allowing them to make more timely choices based on current facts.
Edge computing is a distributed computing platform that connects corporate applications to data sources such as IoT devices or local edge servers. It entails processing data closer to where it was created rather than depending only on centralized data centers or the cloud. This technique has various advantages, including faster insights, faster response times, increased bandwidth availability, and lower latency. The rise of edge computing has aided the expansion of the data wrangling sector. Edge computing creates a lot of data that has to be handled and examined. This increases the demand for data wrangling tools, which are used to clean, manipulate, and prepare data for further analysis.
Key segments that contributed to the derivation of the data wrangling market analysis are component, business function, organization size, and industry vertical.
The geographic scope of the Data Wrangling market report is mainly divided into five regions: North America, Asia Pacific, Europe, Middle East & Africa, and South America/South & Central America. North America dominated the data wrangling market in 2023. The increasing digitization of businesses and organizations in North America is a significant driver for the data wrangling market. As companies generate and collect large volumes of data, the need for effective tools and software for data wrangling becomes crucial. Furthermore, the rising demand for big data analytics in North America is another factor driving the growth of the data wrangling market. Data wrangling plays a vital role in preparing and cleaning data for analysis, enabling organizations to derive valuable insights from their data.
The regional trends and factors influencing the Data Wrangling Market throughout the forecast period have been thoroughly explained by the analysts at Insight Partners. This section also discusses Data Wrangling Market segments and geography across North America, Europe, Asia Pacific, Middle East and Africa, and South and Central America.
| Report Attribute | Details |
|---|---|
| Market size in 2023 | US$ 3.42 Billion |
| Market Size by 2031 | US$ 11.37 Billion |
| Global CAGR (2024 - 2031) | 16.2% |
| Historical Data | 2021-2022 |
| Forecast period | 2024-2031 |
| Segments Covered |
By Component
|
| Regions and Countries Covered | North America
|
| Market leaders and key company profiles |
The Data Wrangling Market market is growing rapidly, driven by increasing end-user demand due to factors such as evolving consumer preferences, technological advancements, and greater awareness of the product's benefits. As demand rises, businesses are expanding their offerings, innovating to meet consumer needs, and capitalizing on emerging trends, which further fuels market growth.
Market players density refers to the distribution of firms or companies operating within a particular market or industry. It indicates how many competitors (market players) are present in a given market space relative to its size or total market value.
Major Companies operating in the Data Wrangling Market are:
Disclaimer: The companies listed above are not ranked in any particular order.
The data wrangling market is evaluated by gathering qualitative and quantitative data post primary and secondary research, which includes important corporate publications, association data, and databases. The following is a list of developments in the market:
(Source: Trifacta, Press Release, 2021)
The "Data Wrangling Market Size and Forecast (2021–2031)" report provides a detailed analysis of the market covering below areas:
The global data wrangling market is expected to reach US$ 11.37 billion by 2031.
The key players holding the majority of shares in the global data wrangling market are BRILLIO, ONEDOT AG, Paxata, Inc., Trifacta, and Alteryx.
The growing technological advancements such as AI and machine learning technologies are likely to remain a key data wrangling market trends.
The growth of the data wrangling market is fuelled by the increasing volume and velocity of data across organizations.
The data wrangling market size is expected to grow from US$ 3.42 billion in 2023 to US$ 11.37 billion by 2031; it is anticipated to expand at a CAGR of 16.2% from 2024 to 2031.