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Data Wrangling Market: Global Market Size, Forecast, Insights, and Competitive Landscape

November 2022 | 157 pages | ID: DC6F6AEAA8FDEN
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The global data wrangling market is expected to grow at a CAGR of around 15.0% during 2023-2030. This report on global data wrangling market report provides holistic understanding of the market along with market sizing, forecast, drivers, challenges, and competitive landscape. The report presents a clear picture of the global data wrangling market by segmenting the market based on component, deployment mode, organisation size, business function, industry vertical, and region. Also, detailed profiles of companies operating in the data wrangling market are provided in this report. We believe that this report will aid the professionals and industry stakeholders in making informed decision.

Market Drivers
  • Growing Demand for Advanced Analytical Algorithm
  • Rapid Pace of Data Generation
  • Technological Advancements in Machine Learning
Market Challenges
  • Time-Intensive
  • High Cost of Services
Historical & Forecast Period

Base Year: 2022

Historical Period: 2018-2022

Forecast Period: 2023-2030

Market by Component
  • Solution
  • Service
Market by Deployment Mode
  • On-Premises
  • Cloud-Based
Market by Organization Size
  • Large Enterprises
  • Small and Medium Enterprises
Market by Business Function
  • Finance
  • Marketing and Sales
  • Operations
  • Human Resources
Market by Industry Vertical
  • BFSI
  • Government and Public Sector
  • Healthcare and Life Science
  • Retail and E-Commerce
  • Media and Entertainment
  • IT and Telecom
  • Manufacturing
  • Others
Market by Region
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Russia
    • Netherlands
    • Rest of Europe
  • North America
    • United States
    • Canada
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Rest of Asia Pacific
  • Latin America
    • Mexico
    • Brazil
    • Argentina
    • Rest of Latin America
  • Middle East & Africa
    • Saudi Arabia
    • Turkey
    • Iran
    • United Arab Emirates
    • Rest of Middle East & Africa
1. PREFACE

1.1 Objective
1.2 Target Audience & Key Offerings
1.3 Report’s Scope
1.4 Research Methodology
  1.4.1 Phase I
  1.4.2 Phase II
  1.4.3 Phase III
1.5 Assumptions

2. KEY INSIGHTS

3. GLOBAL DATA WRANGLING MARKET

3.1. Introduction
3.2. Market Drivers
3.3. Market Challenges

4. GLOBAL DATA WRANGLING MARKET ANALYSIS

4.1. Market Portraiture
4.2. Market Size
4.3. Market Forecast
4.4. Impact of COVID-19

5. GLOBAL DATA WRANGLING MARKET BY COMPONENT

5.1. Introduction
5.2. Solution
5.3. Service

6. GLOBAL DATA WRANGLING MARKET BY DEPLOYMENT MODE

6.1 Introduction
6.2 On-Premises
6.3 Cloud-Based

7. GLOBAL DATA WRANGLING MARKET BY ORGANIZATION SIZE

7.1 Introduction
7.2 Large Enterprises
7.3 Small and Medium Enterprises

8. GLOBAL DATA WRANGLING MARKET BY BUSINESS FUNCTION

8.1 Introduction
8.2 Finance
8.3 Marketing and Sales
8.4 Operations
8.5 Human Resources

9. GLOBAL DATA WRANGLING MARKET BY INDUSTRY VERTICAL

9.1 Introduction
9.2 BFSI
9.3 Government and Public Sector
9.4 Healthcare and Life Science
9.5 Retail and E-Commerce
9.6 Media and Entertainment
9.7 IT and Telecom
9.8 Manufacturing
9.9 Others

10. GLOBAL DATA WRANGLING MARKET BY REGION

10.1 Introduction
10.2 Europe
  10.2.1 Germany
  10.2.2 United Kingdom
  10.2.3 France
  10.2.4 Italy
  10.2.5 Spain
  10.2.6 Russia
  10.2.7 Netherlands
  10.2.8 Rest of the Europe
10.3 North America
  10.3.1 United States
  10.3.2 Canada
10.4 Asia Pacific
  10.4.1 China
  10.4.2 Japan
  10.4.3 India
  10.4.4 South Korea
  10.4.5 Australia
  10.4.6 Indonesia
  10.4.7 Rest of the Asia Pacific
10.5 Latin America
  10.5.1 Mexico
  10.5.2 Brazil
  10.5.3 Argentina
  10.5.4 Rest of Latin America
10.6 Middle East & Africa
  10.6.1 Saudi Arabia
  10.6.2 Turkey
  10.6.3 Iran
  10.6.4 United Arab Emirates
  10.6.5 Rest of Middle East & Africa

11. SWOT ANALYSIS

12. PORTER’S FIVE FORCES

13. MARKET VALUE CHAIN ANALYSIS

14. COMPETITIVE LANDSCAPE

14.1. Competitive Scenario
14.2. Company Profiles
  14.2.1. ALTERYX INC.
  14.2.2. Altair Engineering Inc.
  14.2.3. Hitachi Vantara Corporation
  14.2.4. Impetus Technologies Inc.
  14.2.5. International Business Machines Corporation
  14.2.6. Oracle Corporation
  14.2.7. SAS Institute Inc.
  14.2.8. Teradata Corporation
  14.2.9. TIBCO Software Inc
  14.2.10. Trifacta Software Inc.


LIST OF TABLES

Table 1: Global Data Wrangling Market Portraiture
Table 2: Global Data Wrangling Market by Component (in US$ Million), 2022 & 2030
Table 3: Global Data Wrangling Market by Deployment Mode (in US$ Million), 2022 & 2030
Table 4: Global Data Wrangling Market by Organization Size (in US$ Million), 2022 & 2030
Table 5: Global Data Wrangling Market by Business Function (in US$ Million), 2022 & 2030
Table 6: Global Data Wrangling Market by Industry Vertical (in US$ Million), 2022 & 2030
Table 7: Global Data Wrangling Market by Region (in US$ Million), 2022 & 2030
Table 8: Europe Data Wrangling Market by Country (in US$ Million), 2022 & 2030
Table 9: North America Data Wrangling Market by Country (in US$ Million), 2022 & 2030
Table 10: Asia Pacific Data Wrangling Market by Country (in US$ Million), 2022 & 2030
Table 11: Latin America Data Wrangling Market by Country (in US$ Million), 2022 & 2030
Table 12: Middle East & Africa Data Wrangling Market by Country (in US$ Million), 2022 & 2030
Table 13: List of Key Players

LIST OF FIGURES

Figure 1: Global Data Wrangling Market (in US$ Million), 2018-2022
Figure 2: Global Data Wrangling Market by Component, 2022
Figure 3: Global Data Wrangling Market by Deployment Mode, 2022
Figure 4: Global Data Wrangling Market by Organization Size, 2022
Figure 5: Global Data Wrangling Market by Business Function, 2022
Figure 6: Global Data Wrangling Market by Industry Vertical, 2022
Figure 7: Global Data Wrangling Market by Region, 2022
Figure 8: Global Data Wrangling Market (in US$ Million), 2023-2030
Figure 9: Global Data Wrangling Market by Component (in %), 2022 & 2030
Figure 10: Global Solution Data Wrangling Market (in US$ Million), 2018-2022
Figure 11: Global Solution Data Wrangling Market (in US$ Million), 2023-2030
Figure 12: Global Service Data Wrangling Market (in US$ Million), 2018-2022
Figure 13: Global Service Data Wrangling Market (in US$ Million), 2023-2030
Figure 14: Global Data Wrangling Market by Deployment Mode (in %), 2022 & 2030
Figure 15: Global On-Premises Data Wrangling Market (in US$ Million), 2018-2022
Figure 16: Global On-Premises Data Wrangling Market (in US$ Million), 2023-2030
Figure 17: Global Cloud-Based Data Wrangling Market (in US$ Million), 2018-2022
Figure 18: Global Cloud-Based Data Wrangling Market (in US$ Million), 2023-2030
Figure 19: Global Data Wrangling Market by Organization Size (in %), 2022 & 2030
Figure 20: Global Large Enterprises Data Wrangling Market (in US$ Million), 2018-2022
Figure 21: Global Large Enterprises Data Wrangling Market (in US$ Million), 2023-2030
Figure 22: Global Small and Medium Enterprises Data Wrangling Market (in US$ Million), 2018-2022
Figure 23: Global Small and Medium Enterprises Data Wrangling Market (in US$ Million), 2023-2030
Figure 24: Global Data Wrangling Market by Business Function (in %), 2022 & 2030
Figure 25: Global Finance Data Wrangling Market (in US$ Million), 2018-2022
Figure 26: Global Finance Data Wrangling Market (in US$ Million), 2023-2030
Figure 27: Global Marketing and Sales Data Wrangling Market (in US$ Million), 2018-2022
Figure 28: Global Marketing and Sales Data Wrangling Market (in US$ Million), 2023-2030
Figure 29: Global Operations Data Wrangling Market (in US$ Million), 2018-2022
Figure 30: Global Operations Data Wrangling Market (in US$ Million), 2023-2030
Figure 31: Global Human Resources Data Wrangling Market (in US$ Million), 2018-2022
Figure 32: Global Human Resources Data Wrangling Market (in US$ Million), 2023-2030
Figure 33: Global Data Wrangling Market by Industry Vertical (in %), 2022 & 2030
Figure 34: Global BFSI Data Wrangling Market (in US$ Million), 2018-2022
Figure 35: Global BFSI Data Wrangling Market (in US$ Million), 2023-2030
Figure 36: Global Government and Public Sector Data Wrangling Market (in US$ Million), 2018-2022
Figure 37: Global Government and Public Sector Data Wrangling Market (in US$ Million), 2023-2030
Figure 38: Global Healthcare and Life Science Data Wrangling Market (in US$ Million), 2018-2022
Figure 39: Global Healthcare and Life Science Data Wrangling Market (in US$ Million), 2023-2030
Figure 40: Global Retail and E-Commerce Data Wrangling Market (in US$ Million), 2018-2022
Figure 41: Global Retail and E-Commerce Data Wrangling Market (in US$ Million), 2023-2030
Figure 42: Global Media and Entertainment Data Wrangling Market (in US$ Million), 2018-2022
Figure 43: Global Media and Entertainment Data Wrangling Market (in US$ Million), 2023-2030
Figure 44: Global IT and Telecom Data Wrangling Market (in US$ Million), 2018-2022
Figure 45: Global IT and Telecom Data Wrangling Market (in US$ Million), 2023-2030
Figure 46: Global Manufacturing Data Wrangling Market (in US$ Million), 2018-2022
Figure 47: Global Manufacturing Data Wrangling Market (in US$ Million), 2023-2030
Figure 48: Global Other Industry Verticals Data Wrangling Market (in US$ Million), 2018-2022
Figure 49: Global Other Industry Verticals Data Wrangling Market (in US$ Million), 2023-2030
Figure 50: Global Data Wrangling Market by Region (in %), 2022 & 2030
Figure 51: Europe Data Wrangling Market (in US$ Million), 2018-2022
Figure 52: Europe Data Wrangling Market (in US$ Million), 2023-2030
Figure 53: Europe Data Wrangling Market by Country (in %), 2022 & 2030
Figure 54: Germany Data Wrangling Market (in US$ Million), 2018-2030
Figure 55: United Kingdom Data Wrangling Market (in US$ Million), 2018-2030
Figure 56: France Data Wrangling Market (in US$ Million), 2018-2030
Figure 57: Italy Data Wrangling Market (in US$ Million), 2018-2030
Figure 58: Spain Data Wrangling Market (in US$ Million), 2018-2030
Figure 59: Russia Data Wrangling Market (in US$ Million), 2018-2030
Figure 60: Netherlands Data Wrangling Market (in US$ Million), 2018-2030
Figure 61: North America Data Wrangling Market (in US$ Million), 2018-2022
Figure 62: North America Data Wrangling Market (in US$ Million), 2023-2030
Figure 63: North America Data Wrangling Market by Country (in %), 2022 & 2030
Figure 64: United States Data Wrangling Market (in US$ Million), 2018-2030
Figure 65: Canada Data Wrangling Market (in US$ Million), 2018-2030
Figure 66: Asia Pacific Data Wrangling Market (in US$ Million), 2018-2022
Figure 67: Asia Pacific Data Wrangling Market (in US$ Million), 2023-2030
Figure 68: Asia Pacific Data Wrangling Market by Country (in %), 2022 & 2030
Figure 69: China Data Wrangling Market (in US$ Million), 2018-2030
Figure 70: Japan Data Wrangling Market (in US$ Million), 2018-2030
Figure 71: India Data Wrangling Market (in US$ Million), 2018-2030
Figure 72: South Korea Data Wrangling Market (in US$ Million), 2018-2030
Figure 73: Australia Data Wrangling Market (in US$ Million), 2018-2030
Figure 74: Indonesia Data Wrangling Market (in US$ Million), 2018-2030
Figure 75: Latin America Data Wrangling Market (in US$ Million), 2018-2022
Figure 76: Latin America Data Wrangling Market (in US$ Million), 2023-2030
Figure 77: Latin America Data Wrangling Market by Country (in %), 2022 & 2030
Figure 78: Mexico Data Wrangling Market (in US$ Million), 2018-2030
Figure 79: Brazil Data Wrangling Market (in US$ Million), 2018-2030
Figure 80: Argentina Data Wrangling Market (in US$ Million), 2018-2030
Figure 81: Middle East & Africa Data Wrangling Market (in US$ Million), 2018-2022
Figure 82: Middle East & Africa Data Wrangling Market (in US$ Million), 2023-2030
Figure 83: Middle East & Africa Data Wrangling Market by Country (in %), 2022 & 2030
Figure 84: Saudi Arabia Data Wrangling Market (in US$ Million), 2018-2030
Figure 85: Turkey Data Wrangling Market (in US$ Million), 2018-2030
Figure 86: Iran Data Wrangling Market (in US$ Million), 2018-2030
Figure 87: UAE Data Wrangling Market (in US$ Million), 2018-2030
Figure 88: Market Value Chain


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