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.
Data Wrangling Market Analysis
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 Market Overview
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.
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Data Wrangling Market: Strategic Insights
Market Size Value in US$ 1,377.8 Million in 2019 Market Size Value by US$ 6,034.4 Million by 2027 Growth rate CAGR of 20.9% from 2020-2027 Forecast Period 2020-2027 Base Year 2020
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We can optimize and tailor the analysis and scope which is unmet through our standard offerings. This flexibility will help you gain the exact information needed for your business planning and decision making.
Data Wrangling Market: Strategic Insights
Market Size Value in | US$ 1,377.8 Million in 2019 |
Market Size Value by | US$ 6,034.4 Million by 2027 |
Growth rate | CAGR of 20.9% from 2020-2027 |
Forecast Period | 2020-2027 |
Base Year | 2020 |
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Speak to AnalystData Wrangling Market Drivers and Opportunities
Increase in volume and velocity of data to Favor Market
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.
Growth of Edge Computing Solutions
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.
Data Wrangling Market Report Segmentation Analysis
Key segments that contributed to the derivation of the data wrangling market analysis are component, business function, organization size, and industry vertical.
- Based on component, the market is bifurcated into tools and services. The tools segment held a larger market share in 2023.
- In terms of business function, the market is divided into finance, marketing and sales, operations, human resources, and legal. The finance segment held a larger market share in 2023.
- Based on organization size, the market is bifurcated into SMEs and large enterprise. The large enterprise segment held a larger market share in 2023.
- Based on industry vertical, the market is bifurcated into BFSI, government, healthcare, it and telecom, manufacturing, retail, and others. The BFSI segment held a larger market share in 2023.
Data Wrangling Market Share Analysis by Geography
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.
Data Wrangling Market Report Scope
Data Wrangling Market News and Recent Developments
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:
- In April 2021, Trifacta introduced an enhanced tool that empowers customers to seamlessly utilize their data within Google BigQuery, while also introducing two new integrations aimed at enhancing data preparation processes.
(Source: Trifacta, Press Release, 2021)
Data Wrangling Market Report Coverage and Deliverables
The "Data Wrangling Market Size and Forecast (2021–2031)" report provides a detailed analysis of the market covering below areas:
- Market size and forecast at global, regional, and country levels for all the key market segments covered under the scope
- Market dynamics such as drivers, restraints, and key opportunities
- Key future trends
- Detailed PEST/Porter's Five Forces and SWOT analysis
- Global and regional market analysis covering key market trends, major players, regulations, and recent market developments
- Industry landscape and competition analysis covering market concentration, heat map analysis, prominent players, and recent developments
- Detailed company profiles
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
Component ; Business Function ; Organization Size ; and Industry Vertical
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
Argentina, Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Mexico, Russian Federation, Saudi Arabia, South Africa, South Korea, United Arab Emirates, United Kingdom, United States
Frequently Asked Questions
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.
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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