Data Wrangling Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028
The global data wrangling market size reached US$ 2.6 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 6.5 Billion by 2028, exhibiting a growth rate (CAGR) of 16.50% during 2022-2028.
Data wrangling refers to the transformation and mapping of unorganized data to gain meaningful analytical insights. It involves cleaning, restructuring and enhancing raw data for data visualization and aggregation using advanced algorithms. Data wrangling tools and solutions can be deployed on-premises or on the cloud. The processed data is further utilized for advanced tasks, such as artificial intelligence (AI), machine learning (ML) and data analytics. In addition, it can also be used for optimizing various business functions, such as finance, marketing, sales, operation and human resources (HR). As a result, data wrangling solutions find extensive applications across various industries, including banking, financial services and insurance (BFSI), healthcare, retail, media, manufacturing and information technology (IT).
Data Wrangling Market Trends:
Significant growth in the IT industry, along with the increasing demand for effective tools and software for data processing and cleaning, is one of the key factors creating a positive outlook for the market. Moreover, rising concerns regarding data veracity among the consumers are escalating the demand for data wrangling solutions. Small, medium and large-scale organizations use these solutions to filter low-quality data, visualize distributions and inconsistencies and improve the organizational processes. In line with this, BFSI institutions use data wrangling processes to improve data security, organize semi-structured and unstructured data and optimize online banking portals. Additionally, various technological advancements, such as the deployment of big data and edge computing solutions, are acting as other growth-inducing factors. These technologies facilitate real-time forecasting and monitoring of incidents that may have a direct impact on the functioning of the organizations. Other factors, including rapid digitization, along with extensive research and development (R&D) activities, are anticipated to drive the market toward growth.
Key Market Segmentation:
IMARC Group provides an analysis of the key trends in each sub-segment of the global data wrangling market report, along with forecasts at the global, regional and country level from 2023-2028. Our report has categorized the market based on component, deployment mode, organization size, business function and industry vertical.
Breakup by Component:
Solution
Service
Breakup by Deployment Mode:
On-premises
Cloud-based
Breakup by Organization Size:
Large Enterprises
Small and Medium Enterprises
Breakup by Business Function:
Finance
Marketing and Sales
Operations
Human Resources
Breakup by Industry Vertical:
BFSI
Government and Public Sector
Healthcare and Life Science
Retail and E-commerce
Media and Entertainment
IT and Telecom
Manufacturing
Others
Breakup by Region:
North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
Competitive Landscape:
The competitive landscape of the industry has also been examined along with the profiles of the key players being ALTERYX INC., Altair Engineering Inc., Hitachi Vantara Corporation, Impetus Technologies Inc., International Business Machines Corporation, Oracle Corporation, SAS Institute Inc., Teradata Corporation, TIBCO Software Inc and Trifacta Software Inc.
Key Questions Answered in This Report
1. What was the size of the global data wrangling market in 2022?
2. What is the expected growth rate of the global data wrangling market during 2023-2028?
3. What are the key factors driving the global data wrangling market?
4. What has been the impact of COVID-19 on the global data wrangling market?
5. What is the breakup of the global data wrangling market based on the component?
6. What is the breakup of the global data wrangling market based on the deployment mode?
7. What is the breakup of the global data wrangling market based on organization size?
8. What is the breakup of the global data wrangling market based on the business function?
9. What is the breakup of the global data wrangling market based on the industry vertical?
10. What are the key regions in the global data wrangling market?
11. Who are the key players/companies in the global data wrangling market?
- 1 Preface
- 2 Scope and Methodology
- 2.1 Objectives of the Study
- 2.2 Stakeholders
- 2.3 Data Sources
- 2.3.1 Primary Sources
- 2.3.2 Secondary Sources
- 2.4 Market Estimation
- 2.4.1 Bottom-Up Approach
- 2.4.2 Top-Down Approach
- 2.5 Forecasting Methodology
- 3 Executive Summary
- 4 Introduction
- 4.1 Overview
- 4.2 Key Industry Trends
- 5 Global Data Wrangling Market
- 5.1 Market Overview
- 5.2 Market Performance
- 5.3 Impact of COVID-19
- 5.4 Market Forecast
- 6 Market Breakup by Component
- 6.1 Solution
- 6.1.1 Market Trends
- 6.1.2 Market Forecast
- 6.2 Service
- 6.2.1 Market Trends
- 6.2.2 Market Forecast
- 7 Market Breakup by Deployment Mode
- 7.1 On-premises
- 7.1.1 Market Trends
- 7.1.2 Market Forecast
- 7.2 Cloud-based
- 7.2.1 Market Trends
- 7.2.2 Market Forecast
- 8 Market Breakup by Organization Size
- 8.1 Large Enterprises
- 8.1.1 Market Trends
- 8.1.2 Market Forecast
- 8.2 Small and Medium Enterprises
- 8.2.1 Market Trends
- 8.2.2 Market Forecast
- 9 Market Breakup by Business Function
- 9.1 Finance
- 9.1.1 Market Trends
- 9.1.2 Market Forecast
- 9.2 Marketing and Sales
- 9.2.1 Market Trends
- 9.2.2 Market Forecast
- 9.3 Operations
- 9.3.1 Market Trends
- 9.3.2 Market Forecast
- 9.4 Human Resources
- 9.4.1 Market Trends
- 9.4.2 Market Forecast
- 10 Market Breakup by Industry Vertical
- 10.1 BFSI
- 10.1.1 Market Trends
- 10.1.2 Market Forecast
- 10.2 Government and Public Sector
- 10.2.1 Market Trends
- 10.2.2 Market Forecast
- 10.3 Healthcare and Life Science
- 10.3.1 Market Trends
- 10.3.2 Market Forecast
- 10.4 Retail and E-commerce
- 10.4.1 Market Trends
- 10.4.2 Market Forecast
- 10.5 Media and Entertainment
- 10.5.1 Market Trends
- 10.5.2 Market Forecast
- 10.6 IT and Telecom
- 10.6.1 Market Trends
- 10.6.2 Market Forecast
- 10.7 Manufacturing
- 10.7.1 Market Trends
- 10.7.2 Market Forecast
- 10.8 Others
- 10.8.1 Market Trends
- 10.8.2 Market Forecast
- 11 Market Breakup by Region
- 11.1 North America
- 11.1.1 United States
- 11.1.1.1 Market Trends
- 11.1.1.2 Market Forecast
- 11.1.2 Canada
- 11.1.2.1 Market Trends
- 11.1.2.2 Market Forecast
- 11.2 Asia-Pacific
- 11.2.1 China
- 11.2.1.1 Market Trends
- 11.2.1.2 Market Forecast
- 11.2.2 Japan
- 11.2.2.1 Market Trends
- 11.2.2.2 Market Forecast
- 11.2.3 India
- 11.2.3.1 Market Trends
- 11.2.3.2 Market Forecast
- 11.2.4 South Korea
- 11.2.4.1 Market Trends
- 11.2.4.2 Market Forecast
- 11.2.5 Australia
- 11.2.5.1 Market Trends
- 11.2.5.2 Market Forecast
- 11.2.6 Indonesia
- 11.2.6.1 Market Trends
- 11.2.6.2 Market Forecast
- 11.2.7 Others
- 11.2.7.1 Market Trends
- 11.2.7.2 Market Forecast
- 11.3 Europe
- 11.3.1 Germany
- 11.3.1.1 Market Trends
- 11.3.1.2 Market Forecast
- 11.3.2 France
- 11.3.2.1 Market Trends
- 11.3.2.2 Market Forecast
- 11.3.3 United Kingdom
- 11.3.3.1 Market Trends
- 11.3.3.2 Market Forecast
- 11.3.4 Italy
- 11.3.4.1 Market Trends
- 11.3.4.2 Market Forecast
- 11.3.5 Spain
- 11.3.5.1 Market Trends
- 11.3.5.2 Market Forecast
- 11.3.6 Russia
- 11.3.6.1 Market Trends
- 11.3.6.2 Market Forecast
- 11.3.7 Others
- 11.3.7.1 Market Trends
- 11.3.7.2 Market Forecast
- 11.4 Latin America
- 11.4.1 Brazil
- 11.4.1.1 Market Trends
- 11.4.1.2 Market Forecast
- 11.4.2 Mexico
- 11.4.2.1 Market Trends
- 11.4.2.2 Market Forecast
- 11.4.3 Others
- 11.4.3.1 Market Trends
- 11.4.3.2 Market Forecast
- 11.5 Middle East and Africa
- 11.5.1 Market Trends
- 11.5.2 Market Breakup by Country
- 11.5.3 Market Forecast
- 12 SWOT Analysis
- 12.1 Overview
- 12.2 Strengths
- 12.3 Weaknesses
- 12.4 Opportunities
- 12.5 Threats
- 13 Value Chain Analysis
- 14 Porters Five Forces Analysis
- 14.1 Overview
- 14.2 Bargaining Power of Buyers
- 14.3 Bargaining Power of Suppliers
- 14.4 Degree of Competition
- 14.5 Threat of New Entrants
- 14.6 Threat of Substitutes
- 15 Price Analysis
- 16 Competitive Landscape
- 16.1 Market Structure
- 16.2 Key Players
- 16.3 Profiles of Key Players
- 16.3.1 ALTERYX INC.
- 16.3.1.1 Company Overview
- 16.3.1.2 Product Portfolio
- 16.3.1.3 Financials
- 16.3.2 Altair Engineering Inc.
- 16.3.2.1 Company Overview
- 16.3.2.2 Product Portfolio
- 16.3.2.3 Financials
- 16.3.2.4 SWOT Analysis
- 16.3.3 Hitachi Vantara Corporation
- 16.3.3.1 Company Overview
- 16.3.3.2 Product Portfolio
- 16.3.4 Impetus Technologies Inc.
- 16.3.4.1 Company Overview
- 16.3.4.2 Product Portfolio
- 16.3.5 International Business Machines Corporation
- 16.3.5.1 Company Overview
- 16.3.5.2 Product Portfolio
- 16.3.5.3 Financials
- 16.3.5.4 SWOT Analysis
- 16.3.6 Oracle Corporation
- 16.3.6.1 Company Overview
- 16.3.6.2 Product Portfolio
- 16.3.6.3 Financials
- 16.3.6.4 SWOT Analysis
- 16.3.7 SAS Institute Inc.
- 16.3.7.1 Company Overview
- 16.3.7.2 Product Portfolio
- 16.3.7.3 SWOT Analysis
- 16.3.8 Teradata Corporation
- 16.3.8.1 Company Overview
- 16.3.8.2 Product Portfolio
- 16.3.8.3 Financials
- 16.3.8.4 SWOT Analysis
- 16.3.9 TIBCO Software Inc
- 16.3.9.1 Company Overview
- 16.3.9.2 Product Portfolio
- 16.3.9.3 SWOT Analysis
- 16.3.10 Trifacta Software Inc.
- 16.3.10.1 Company Overview
- 16.3.10.2 Product Portfolio
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