Market Overview:
The global data wrangling market exhibited moderate growth during 2015-2020. Looking forward, IMARC Group expects the market to grow at a CAGR of around 16% during 2021-2026. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end-use industries. These insights are included in the report as a major market contributor.
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:
欧宝电竞首页IMARC集团提供了一个分析的关键趋势in each sub-segment of the global data wrangling market report, along with forecasts for growth at the global, regional and country level from 2021-2026. Our report has categorized the market based on region, component, deployment mode, organization size, business function and industry vertical.
Breakup by Component:
Breakup by Deployment Mode:
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
- Asia-Pacific
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Others
- Europe
- Germany
- France
- United Kingdom
- Italy
- Spain
- Russia
- Others
- Latin America
- 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.
Report Coverages:
| Report Features |
Details |
| Base Year of the Analysis |
2020 |
| Historical Period |
2015-2020 |
| Forecast Period |
2021-2026 |
| Units |
US$ Billion |
| Segment Coverage |
Component, Deployment Mode, Organization Size, Business Function, Industry Vertical, Region |
| Region Covered |
Asia Pacific, Europe, North America, Latin America, Middle East and Africa |
| Countries Covered |
United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico |
| Companies Covered |
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. |
| Customization Scope |
10% Free Customization |
| Report Price and Purchase Option |
Single User License: US$ 2299
Five User License: US$ 3399
Corporate License: US$ 4499 |
| Post-Sale Analyst Support |
10-12 Weeks |
| Delivery Format |
PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request) |
Key Questions Answered in This Report:
- How has the global data wrangling market performed so far and how will it perform in the coming years?
- What has been the impact of COVID-19 on the global data wrangling market?
- What are the key regional markets?
- What is the breakup of the market based on the component?
- What is the breakup of the market based on the deployment mode?
- What is the breakup of the market based on the organization size?
- What is the breakup of the market based on the business function?
- What is the breakup of the market based on the industry vertical?
- What are the various stages in the value chain of the industry?
- What are the key driving factors and challenges in the industry?
- What is the structure of the global data wrangling market and who are the key players?
- What is the degree of competition in the industry?
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 3月ket 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市场趋势
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
List of Figures
Figure 1: Global: Data Wrangling Market: Major Drivers and Challenges
Figure 2: Global: Data Wrangling Market: Sales Value (in Billion US$), 2015-2020
Figure 3: Global: Data Wrangling Market Forecast: Sales Value (in Billion US$), 2021-2026
Figure 4: Global: Data Wrangling Market: Breakup by Component (in %), 2020
Figure 5: Global: Data Wrangling Market: Breakup by Deployment Mode (in %), 2020
Figure 6: Global: Data Wrangling Market: Breakup by Organization Size (in %), 2020
Figure 7: Global: Data Wrangling Market: Breakup by Business Function (in %), 2020
Figure 8: Global: Data Wrangling Market: Breakup by Industry Vertical (in %), 2020
Figure 9: Global: Data Wrangling Market: Breakup by Region (in %), 2020
Figure 10: Global: Data Wrangling (Solution) Market: Sales Value (in Million US$), 2015 & 2020
图11:全球:数据争论(解决方案)标记t Forecast: Sales Value (in Million US$), 2021-2026
Figure 12: Global: Data Wrangling (Service) Market: Sales Value (in Million US$), 2015 & 2020
Figure 13: Global: Data Wrangling (Service) Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 14: Global: Data Wrangling (On-premises) Market: Sales Value (in Million US$), 2015 & 2020
Figure 15: Global: Data Wrangling (On-premises) Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 16: Global: Data Wrangling (Cloud) Market: Sales Value (in Million US$), 2015 & 2020
Figure 17: Global: Data Wrangling (Cloud) Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 18: Global: Data Wrangling (Large Enterprises) Market: Sales Value (in Million US$), 2015 & 2020
Figure 19: Global: Data Wrangling (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 20: Global: Data Wrangling (Small and Medium Enterprises) Market: Sales Value (in Million US$), 2015 & 2020
Figure 21: Global: Data Wrangling (Small and Medium Enterprises) Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 22: Global: Data Wrangling (Finance) Market: Sales Value (in Million US$), 2015 & 2020
Figure 23: Global: Data Wrangling (Finance) Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 24: Global: Data Wrangling (Marketing and Sales) Market: Sales Value (in Million US$), 2015 & 2020
Figure 25: Global: Data Wrangling (Marketing and Sales) Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 26: Global: Data Wrangling (Operations) Market: Sales Value (in Million US$), 2015 & 2020
Figure 27: Global: Data Wrangling (Operations) Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 28: Global: Data Wrangling (Human Resources) Market: Sales Value (in Million US$), 2015 & 2020
图29:全球:数据争论(人力资源) Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 30: Global: Data Wrangling (BFSI) Market: Sales Value (in Million US$), 2015 & 2020
Figure 31: Global: Data Wrangling (BFSI) Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 32: Global: Data Wrangling (Government and Public Sector) Market: Sales Value (in Million US$), 2015 & 2020
Figure 33: Global: Data Wrangling (Government and Public Sector) Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 34: Global: Data Wrangling (Healthcare and Life Science) Market: Sales Value (in Million US$), 2015 & 2020
Figure 35: Global: Data Wrangling (Healthcare and Life Science) Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 36: Global: Data Wrangling (Retail and E-commerce) Market: Sales Value (in Million US$), 2015 & 2020
Figure 37: Global: Data Wrangling (Retail and E-commerce) Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 38: Global: Data Wrangling (Media and Entertainment) Market: Sales Value (in Million US$), 2015 & 2020
Figure 39: Global: Data Wrangling (Media and Entertainment) Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 40: Global: Data Wrangling (IT and Telecom) Market: Sales Value (in Million US$), 2015 & 2020
Figure 41: Global: Data Wrangling (IT and Telecom) Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 42: Global: Data Wrangling (Manufacturing) Market: Sales Value (in Million US$), 2015 & 2020
Figure 43: Global: Data Wrangling (Manufacturing) Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 44: Global: Data Wrangling (Other Industry Verticals) Market: Sales Value (in Million US$), 2015 & 2020
Figure 45: Global: Data Wrangling (Other Industry Verticals) Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 46: North America: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 47: North America: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 48: United States: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
图49:美国:数据市场Fo争吵recast: Sales Value (in Million US$), 2021-2026
Figure 50: Canada: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 51: Canada: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 52: Asia-Pacific: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 53: Asia-Pacific: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 54: China: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 55: China: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 56: Japan: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 57: Japan: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 58: India: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 59: India: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 60: South Korea: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 61: South Korea: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 62: Australia: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 63: Australia: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 64: Indonesia: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 65: Indonesia: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 66: Others: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 67: Others: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 68: Europe: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 69: Europe: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 70: Germany: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 71: Germany: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 72: France: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 73: France: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 74: United Kingdom: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 75: United Kingdom: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 76: Italy: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 77: Italy: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 78: Spain: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 79: Spain: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 80: Russia: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 81: Russia: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 82: Others: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 83: Others: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 84: Latin America: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 85: Latin America: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 86: Brazil: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 87: Brazil: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 88: Mexico: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 89: Mexico: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 90: Others: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 91: Others: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 92: Middle East and Africa: Data Wrangling Market: Sales Value (in Million US$), 2015 & 2020
Figure 93: Middle East and Africa: Data Wrangling Market: Breakup by Country (in %), 2020
Figure 94: Middle East and Africa: Data Wrangling Market Forecast: Sales Value (in Million US$), 2021-2026
Figure 95: Global: Data Wrangling Industry: SWOT Analysis
Figure 96: Global: Data Wrangling Industry: Value Chain Analysis
Figure 97: Global: Data Wrangling Industry: Porter's Five Forces Analysis
List of Tables
Table 1: Global: Data Wrangling Market: Key Industry Highlights, 2020 and 2026
Table 2: Global: Data Wrangling Market Forecast: Breakup by Component (in Million US$), 2021-2026
Table 3: Global: Data Wrangling Market Forecast: Breakup by Deployment Mode (in Million US$), 2021-2026
Table 4: Global: Data Wrangling Market Forecast: Breakup by Organization Size (in Million US$), 2021-2026
Table 5: Global: Data Wrangling Market Forecast: Breakup by Business Function (in Million US$), 2021-2026
Table 6: Global: Data Wrangling Market Forecast: Breakup by Industry Vertical (in Million US$), 2021-2026
Table 7: Global: Data Wrangling Market Forecast: Breakup by Region (in Million US$), 2021-2026
Table 8: Global: Data Wrangling Market: Competitive Structure
Table 9: Global: Data Wrangling Market: Key Players