Data Wrangling Market - Global Industry Analysis

Data Wrangling Market by Business Function (Finance, Marketing and Sales, Operations, Human Resources, and Legal), by Component (Tools, and Services), by Deployment (On-Premises and Cloud), and by Vertical (BFSI, Government and Public Sector, Healthcare and Life Science, Retail and E-commerce, Telecommunication and IT, Travel and Hospitality, Manufacturing, Energy & Utilities, and Others): Global Industry Perspective, Comprehensive Analysis, and Forecast, 2017-2024

Published Date: 24-Jul-2018 Category: Technology & Media Report Format : PDF Pages: 110 Report Code: ZMR-3244 Status : Published

Global data wrangling market expected to reach approximately USD 3.97 billion in 2024, growing at a CAGR of 19.81% between 2018 and 2024. Data wrangling is defined as a process of unifying and cleaning complex and messy data sets for easy analysis and access.

Description

The report covers forecast and analysis for the data wrangling market on a global and regional level. The study provides historic data of 2015-2017 along with a forecast from 2018 to 2024 based on revenue (USD Billion). The study includes drivers and restraints for the data wrangling market along with the impact they have on the demand over the forecast period. Additionally, the report includes the study of opportunities available in the data wrangling market on a global level.

This report offers comprehensive coverage on global data wrangling market along with, market trends, drivers, and restraints of the data wrangling market. This report includes a detailed competitive scenario and the product portfolio of key vendors. To understand the competitive landscape in the market, an analysis of Porter’s Five Forces model for the data wrangling market has also been included. The study encompasses a market attractiveness analysis, wherein all segments are benchmarked based on their market size, growth rate, and general attractiveness. This report is prepared using data sourced from in-house databases, secondary and primary research team of industry experts.

Global Data Wrangling Market

The study provides a decisive view of the data wrangling market by segmenting the market based on business function, component, deployment, verticals, and regions. All the segments have been analyzed based on present and future trends and the market is estimated from 2018 to 2024. By business function, the market is divided into finance, marketing and sales, operations, human resources, and legal. Further, by component type market is divided into tools and services. Furthermore, by deployment market is classified into on-premises and cloud. On the basis of verticals, the market can be categorized into BFSI, government and public sector, healthcare and life science, retail and e-commerce, telecommunication and IT, travel and hospitality, manufacturing, energy and utilities, and others. The regional segmentation includes the current and forecast demand for North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. 

The report covers a detailed competitive outlook including the market share and company profiles of some of the key participants operating in the global data wrangling market include IBM Corporation, Oracle, SAS Institute, Trifacta, Datawatch, Talend, Alteryx, Dataiku, TIBCO Software, Paxata, Informatica, Hitachi Vantara, Teradata, Onedot, Brilio, and others.

The report segments the global data wrangling market as follows:

Global Data Wrangling Market: Business Function Segment Analysis

  • Finance
  • Marketing and Sales
  • Operations
  • Human Resources
  • Legal

Global Data Wrangling Market: Component Segment Analysis

  • Tools
  • Services

Global Data Wrangling Market: Deployment Segment Analysis

  • On-Premises
  • Cloud

Global Data Wrangling Market: Vertical Segment Analysis

  • BFSI
  • Government and Public Sector
  • Healthcare and Life Science
  • Retail and E-commerce
  • Telecommunication and IT
  • Travel and Hospitality
  • Manufacturing
  • Energy and Utilities
  • Others

Global Data Wrangling Market: Regional Segment Analysis

  • North America
    • The U.S.
  • Europe
    • UK
    • France
    • Germany
  • Asia Pacific
    • China
    • Japan
    • India
  • Latin America
    • Brazil
  • Middle East and Africa

Table Of Content

  • Chapter 1. Preface
    • 1.1. Report Description and Scope
    • 1.2. Research Scope
    • 1.3. Research Methodology
      • 1.3.1. Market Research Process
      • 1.3.2. Market Research Methodology
  •  
  • Chapter 2. Executive Summary
    • 2.1. Global Data Wrangling Market, 2015 - 2024, (USD Billion)
    • 2.2. Data Wrangling Market: Market Snapshot
  •  
  • Chapter 3. Global Data Wrangling Market - Industry Analysis
    • 3.1. Data Wrangling Market: Market Dynamics
    • 3.2. Market Drivers
      • 3.2.1. Increasing Volume and Velocity of Data
      • 3.2.2. Advancements in AI and Ml Technologies
    • 3.3. Restraints
      • 3.3.1. Reluctance to Shift from Traditional ETL Tools to Advanced Automated Tools
    • 3.4. Opportunity
      • 3.4.1. Increasing Regulatory Pressure
      • 3.4.2. Growth of Edge Computing
    • 3.5. Challenges
      • 3.5.1. Lack of Awareness of Data Wrangling Tools Among SMEs
      • 3.5.2. Concerns Regarding Data Quality
    • 3.6. Porter's Five Forces Analysis
    • 3.7. Market Attractiveness Analysis
      • 3.7.1. Market Attractiveness Analysis by Business Function Segment
      • 3.7.2. Market Attractiveness Analysis by Component Segment
      • 3.7.3. Market Attractiveness Analysis by Deployment Segment
      • 3.7.4. Market Attractiveness Analysis by Verticals Segment
      • 3.7.5. Market Attractiveness Analysis by Regional Segment
  •  
  • Chapter 4. Global Data Wrangling Market - Competitive Landscape
    • 4.1. Company Market Share Analysis, 2017 (Subject to Data Availability)
  •  
  • Chapter 5. Global Data Wrangling Market - Business Function Segment Analysis
    • 5.1. Global Data Wrangling Market Revenue Share, by Business Function, 2017 & 2024
    • 5.2. Global Data Wrangling Market by Finance, 2015 - 2024 (USD Billion)
    • 5.3. Global Data Wrangling Market by Marketing and Sales, 2015 - 2024 (USD Billion)
    • 5.4. Global Data Wrangling Market by Operations, 2015 - 2024 (USD Billion)
    • 5.5. Global Data Wrangling Market by Human Resources, 2015 - 2024 (USD Billion)
    • 5.6. Global Data Wrangling Market by Legal, 2015 - 2024 (USD Billion)
  •  
  • Chapter 6. Global Data Wrangling Market - Component Segment Analysis
    • 6.1. Global Data Wrangling Market Revenue Share, by Component, 2017 & 2024
    • 6.2. Global Data Wrangling Market by Tools, 2015 - 2024 (USD Billion)
    • 6.3. Global Data Wrangling Market by Services, 2015 - 2024 (USD Billion)
  •  
  • Chapter 7. Global Data Wrangling Market - Deployment Segment Analysis
    • 7.1. Global Data Wrangling Market Revenue Share, by Deployment, 2017 & 2024
    • 7.2. Global Data Wrangling Market by On-Premises, 2015 - 2024 (USD Billion)
    • 7.3. Global Data Wrangling Market by Cloud, 2015 - 2024 (USD Billion)
  •  
  • Chapter 8. Global Data Wrangling Market -Vertical Segment Analysis
    • 8.1. Global Data Wrangling Market Revenue Share, by Vertical 2017 & 2024
    • 8.2. Global Data Wrangling Market by BFSI, 2015 - 2024 (USD Billion)
    • 8.3. Global Data Wrangling Market by Government and Public Sector, 2015 - 2024 (USD Billion)
    • 8.4. Global Data Wrangling Market by Healthcare and Life Science, 2015 - 2024 (USD Billion)
    • 8.5. Global Data Wrangling Market by Retail and Ecommerce, 2015 - 2024 (USD Billion)
    • 8.6. Global Data Wrangling Market by Telecommunication and IT, 2015 - 2024 (USD Billion)
      • 8.6.1. Global Data Wrangling Market by Travel and Hospitality, 2015 - 2024 (USD Billion)
    • 8.7. Global Data Wrangling Market by Manufacturing, 2015 - 2024 (USD Billion)
    • 8.8. Global Data Wrangling Market by Energy and Utilities, 2015 - 2024 (USD Billion)
    • 8.9. Global Data Wrangling Market by Others, 2015 - 2024 (USD Billion)
  •  
  • Chapter 9. Global Data Wrangling Market - Regional Analysis
    • 9.1. Global Data Wrangling Market: Regional Overview
      • 9.1.1. Global Data Wrangling Market Revenue Share by Region, 2017 and 2024
    • 9.2. North America
      • 9.2.1. North America Data Wrangling Market, 2015 - 2024 (USD Billion)
      • 9.2.2. North America Data Wrangling Market Revenue, by Business Function, 2015 - 2024 (USD Billion)
      • 9.2.3. North America Data Wrangling Market Revenue, by Component, 2015 - 2024 (USD Billion)
      • 9.2.4. North America Data Wrangling Market Revenue, by Deployment, 2015 - 2024 (USD Billion)
      • 9.2.5. North America Data Wrangling Market Revenue, by Verticals, 2015 - 2024 (USD Billion)
      • 9.2.6. U.S.
        • 9.2.6.1. U.S. Data Wrangling Market Revenue, by Business Function, 2015 - 2024 (USD Billion)
        • 9.2.6.2. U.S. Data Wrangling Market Revenue, by Component , 2015 - 2024 (USD Billion)
        • 9.2.6.3. U.S. Data Wrangling Market Revenue, by Deployment , 2015 - 2024 (USD Billion)
        • 9.2.6.4. U.S. Data Wrangling Market Revenue, by Verticals, 2015 - 2024 (USD Billion)
    • 9.3. Europe
      • 9.3.1. Europe Data Wrangling Market, 2015 - 2024 (USD Billion)
      • 9.3.2. Europe Data Wrangling Market Revenue, by Business Function, 2015 - 2024 (USD Billion)
      • 9.3.3. Europe Data Wrangling Market Revenue, by Component, 2015 - 2024 (USD Billion)
      • 9.3.4. Europe Data Wrangling Market Revenue, by Deployment, 2015 - 2024 (USD Billion)
      • 9.3.5. Europe Data Wrangling Market Revenue, by Verticals, 2015 - 2024 (USD Billion)
    • 9.4. U.K.
      • 9.4.1. U.K. Data Wrangling Market Revenue, by Business Function, 2015 - 2024 (USD Billion)
      • 9.4.2. U.K. Data Wrangling Market Revenue, by Component, 2015 - 2024 (USD Billion)
      • 9.4.3. U.K. Data Wrangling Market Revenue, by Deployment, 2015 - 2024 (USD Billion)
      • 9.4.4. U.K. Data Wrangling Market Revenue, by Verticals, 2015 - 2024 (USD Billion)
    • 9.5. France
      • 9.5.1. France Data Wrangling Market Revenue, by Business Function, 2015 - 2024 (USD Billion)
      • 9.5.2. France Data Wrangling Market Revenue, by Component, 2015 - 2024 (USD Billion)
      • 9.5.3. France Data Wrangling Market Revenue, by Deployment, 2015 - 2024 (USD Billion)
      • 9.5.4. France Data Wrangling Market Revenue, by Verticals, 2015 - 2024 (USD Billion)
    • 9.6. Germany
      • 9.6.1. Germany Data Wrangling Market Revenue, by Business Function, 2015 - 2024 (USD Billion)
      • 9.6.2. Germany Data Wrangling Market Revenue, by Component, 2015 - 2024 (USD Billion)
      • 9.6.3. Germany Data Wrangling Market Revenue, by Deployment, 2015 - 2024 (USD Billion)
      • 9.6.4. Germany Data Wrangling Market Revenue, by Verticals, 2015 - 2024 (USD Billion)
    • 9.7. Asia Pacific
      • 9.7.1. Asia-Pacific Data Wrangling Market, 2015 - 2024 (USD Billion)
      • 9.7.2. Asia-Pacific Data Wrangling Market Revenue, by Business Function, 2015 - 2024 (USD Billion)
      • 9.7.3. Asia-Pacific Data Wrangling Market Revenue, by Component, 2015 - 2024 (USD Billion)
      • 9.7.4. Asia-Pacific Data Wrangling Market Revenue, by Deployment, 2015 - 2024 (USD Billion)
      • 9.7.5. Asia-Pacific Data Wrangling Market Revenue, by Verticals, 2015 - 2024 (USD Billion)
    • 9.8. China
      • 9.8.1. China Data Wrangling Market Revenue, by Business Function, 2015 - 2024 (USD Billion)
      • 9.8.2. China Data Wrangling Market Revenue, by Component, 2015 - 2024 (USD Billion)
      • 9.8.3. China Data Wrangling Market Revenue, by Deployment, 2015 - 2024 (USD Billion)
      • 9.8.4. China Data Wrangling Market Revenue, by Verticals, 2015 - 2024 (USD Billion)
    • 9.9. Japan
      • 9.9.1. Japan Data Wrangling Market Revenue, by Business Function, 2015 - 2024 (USD Billion)
      • 9.9.2. Japan Data Wrangling Market Revenue, by Component, 2015 - 2024 (USD Billion)
      • 9.9.3. Japan Data Wrangling Market Revenue, by Deployment, 2015 - 2024 (USD Billion)
      • 9.9.4. Japan Data Wrangling Market Revenue, by Verticals, 2015 - 2024 (USD Billion)
    • 9.10. India
      • 9.10.1. India Data Wrangling Market Revenue, by Business Function, 2015 - 2024 (USD Billion)
      • 9.10.2. India Data Wrangling Market Revenue, by Component, 2015 - 2024 (USD Billion)
      • 9.10.3. India Data Wrangling Market Revenue, by Deployment, 2015 - 2024 (USD Billion)
      • 9.10.4. India Data Wrangling Market Revenue, by Verticals, 2015 - 2024 (USD Billion)
    • 9.11. Latin America
      • 9.11.1. Latin America Data Wrangling Market, 2015 - 2024 (USD Billion)
      • 9.11.2. Latin America Data Wrangling Market Revenue, by Business Function, 2015 - 2024 (USD Billion)
      • 9.11.3. Latin America Data Wrangling Market Revenue, by Component, 2015 - 2024 (USD Billion)
      • 9.11.4. Latin America Data Wrangling Market Revenue, by Deployment, 2015 - 2024 (USD Billion)
      • 9.11.5. Latin America Data Wrangling Market Revenue, by Verticals, 2015 - 2024 (USD Billion)
    • 9.12. Brazil
      • 9.12.1. Brazil Data Wrangling Market Revenue, by Business Function, 2015 - 2024 (USD Billion)
      • 9.12.2. Brazil Data Wrangling Market Revenue, by Component, 2015 - 2024 (USD Billion)
      • 9.12.3. Brazil Data Wrangling Market Revenue, by Deployment, 2015 - 2024 (USD Billion)
      • 9.12.4. Brazil Data Wrangling Market Revenue, by Verticals, 2015 - 2024 (USD Billion)
    • 9.13. Middle East & Africa
      • 9.13.1. Middle East & Africa Data Wrangling Market, 2015 - 2024 (USD Billion)
      • 9.13.2. Middle East & Africa Data Wrangling Market Revenue, by Business Function, 2015 - 2024 (USD Billion)
      • 9.13.3. Middle East & Africa Data Wrangling Market Revenue, by Component, 2015 - 2024 (USD Billion)
      • 9.13.4. Middle East & Africa Data Wrangling Market Revenue, by Deployment, 2015 - 2024 (USD Billion)
      • 9.13.5. Middle East & Africa Data Wrangling Market Revenue, by Verticals, 2015 - 2024 (USD Billion)
  •  
  • Chapter 10. Company Profiles
    • 10.1 IBM Corporation
      • 10.1.1. Overview
      • 10.1.2. Financials
      • 10.1.3. Product Portfolio
      • 10.1.4. Business Strategy
      • 10.1.5. Recent Developments
    • 10.2 Oracle
      • 10.2.1 Overview
      • 10.2.2 Financials
      • 10.2.3 Product Portfolio
      • 10.2.4 Business Strategy
      • 10.2.5 Recent Developments
    • 10.3 SAS Institute
      • 10.3.1 Overview
      • 10.3.2 Financials
      • 10.3.3 Product Portfolio
      • 10.3.4 Business Strategy
      • 10.3.5 Recent Developments
    • 10.4 Trifacta
      • 10.4.1 Overview
      • 10.4.2 Financials
      • 10.4.3 Product Portfolio
      • 10.4.4 Business Strategy
      • 10.4.5 Recent Developments
    • 10.5 Datawatch
      • 10.5.1 Overview
      • 10.5.2 Financials
      • 10.5.3 Product Portfolio
      • 10.5.4 Business Strategy
      • 10.5.5 Recent Development
    • 10.6 Talend
      • 10.6.1 Overview
      • 10.6.2 Financials
      • 10.6.3 Product Portfolio
      • 10.6.4 Business Strategy
      • 10.6.5 Recent Developments
    • 10.7 Alteryx
      • 10.7.1 Overview
      • 10.7.2 Financials
      • 10.7.3 Product Portfolio
      • 10.7.4 Business Strategy
      • 10.7.5 Recent Developments
    • 10.8 Dataiku
      • 10.8.1 Overview
      • 10.8.2 Financials
      • 10.8.3 Product Portfolio
      • 10.8.4 Business Strategy
      • 10.8.5 Recent Developments
    • 10.9 TIBCO Software
      • 10.9.1 ` Overview
      • 10.9.2 Financials
      • 10.9.3 Product Portfolio
      • 10.9.4 Business Strategy
      • 10.9.5 Recent Developments
    • 10.10 Paxata
      • 10.10.1 Overview
      • 10.10.2 Financials
      • 10.10.3 Product Portfolio
      • 10.10.4 Business Strategy
      • 10.10.5 Recent Developments
    • 10.11 Informatica
      • 10.11.1 Overview
      • 10.11.2 Financials
      • 10.11.3 Product Portfolio
      • 10.11.4 Business Strategy
      • 10.11.5 Recent Developments
    • 10.12 Hitachi Vantara
      • 10.12.1 Overview
      • 10.12.2 Financials
      • 10.12.3 Product Portfolio
      • 10.12.4 Business Strategy
      • 10.12.5 Recent Developments
    • 10.13 Teradata
      • 10.13.1 Overview
      • 10.13.2 Financials
      • 10.13.3 Product Portfolio
      • 10.13.4 Business Strategy
      • 10.13.5 Recent Developments
    • 10.14 Brillio
      • 10.14.1 Overview
      • 10.14.2 Financials
      • 10.14.3 Product Portfolio
      • 10.14.4 Business Strategy
      • 10.14.5 Recent Developments
    • 10.15 Onedot
      • 10.15.1 Overview
      • 10.15.2 Financials
      • 10.15.3 Product Portfolio
      • 10.15.4 Business Strategy
      • 10.15.5 Recent Developments

Table Of Figures

List of Figures 

1. Global Data Wrangling Market Segmentation by Services, Vertical, and Geography
2. Global Data Wrangling Market, 2015 - 2024 (USD Billion)
3. Porter’s Five Forces Analysis: Data Wrangling Market
4. Global Data Wrangling Market Attractiveness, by Services 
5. Global Data Wrangling Market Attractiveness, by Verticals
6. Global Data Wrangling Market Attractiveness, by Region
7. Global Data Wrangling Market Revenue Share, by Services, 2017 & 2024
8. Global Data Wrangling Market by Professional Services, 2015 - 2024 (USD Billion)
9. Global Data Wrangling Market by Managed Services, 2015 - 2024 (USD Billion)
10. Global Data Wrangling Market Revenue Share, by Verticals 2017 & 2024
11. Global Data Wrangling Market by BFSI, 2015 - 2024 (USD Billion)
12. Global Data Wrangling Market by Healthcare and Life Science, 2015 – 2024 (USD Billion)
13. Global Data Wrangling Market by Retail, 2015 – 2024 (USD Billion)
14. Global Data Wrangling Market by Telecommunication, 2015 – 2024 (USD Billion)
15. Global Data Wrangling Market by Government and Defense, 2015 – 2024 (USD Billion)
16. Global Data Wrangling Market by Manufacturing, 2015 – 2024 (USD Billion)
17. Global Data Wrangling Market by Energy and Utilities, 2015 – 2024 (USD Billion)
18. Global Data Wrangling Market by Others, 2015 – 2024 (USD Billion)
19. Global Data Wrangling Market Revenue Share, by Region, 2017 - 2024
20. North America Data Wrangling Market, 2015 - 2024, (USD Billion)
21. U.S. Data Wrangling Market, 2015 - 2024, (USD Billion)
22. Europe Data Wrangling Market, 2015 - 2024, (USD Billion)
23. U.K. Data Wrangling Market, 2015 - 2024 (USD Billion)
24. France Data Wrangling Market, 2015 - 2024 (USD Billion)
25. Germany Data Wrangling Market, 2015 - 2024 (USD Billion)
26. Asia Pacific Data Wrangling Market, 2015 - 2024 (USD Billion)
27. China Data Wrangling Market, 2015 - 2024 (USD Billion)
28. Japan Data Wrangling Market, 2015 - 2024 (USD Billion) 
29. India Data Wrangling Market, 2015 - 2024 (USD Billion) 
30. Latin America Data Wrangling Market, 2015 - 2024 (USD Billion)
31. Brazil Data Wrangling Market, 2015 - 2024 (USD Billion)
32. The Middle East & Africa Data Wrangling Market, 2015 – 2024 (USD Billion)


Table Of Tables

List of Tables

1. Global Data Wrangling Market Snapshot
2. Drivers For Data Wrangling Market: Impact Analysis
3. Restraints of Data Wrangling Market: Impact Analysis
4. North America Data Wrangling Market Revenue, by Business Function, 2015 – 2024 (USD Billion) 
5. North America Data Wrangling Market Revenue, by Component, 2015 – 2024 (USD Billion)
6. North America Data Wrangling Market Revenue, by Deployment, 2015 – 2024 (USD Billion)
7. North America Data Wrangling Market Revenue, by Verticals , 2015 – 2024 (USD Billion)
8. U.S. Data Wrangling Market Revenue, by Business Function, 2015 – 2024 (USD Billion) 
9. U.S. Data Wrangling Market Revenue, by Component, 2015 – 2024 (USD Billion)
10. U.S. Data Wrangling Market Revenue, by Deployment, 2015 – 2024 (USD Billion)
11. U.S. Data Wrangling Market Revenue, by Verticals , 2015 – 2024 (USD Billion)
12. Europe Data Wrangling Market Revenue, by Business Function, 2015 – 2024 (USD Billion) 
13. Europe Data Wrangling Market Revenue, by Component, 2015 – 2024 (USD Billion)
14. Europe Data Wrangling Market Revenue, by Deployment, 2015 – 2024 (USD Billion)
15. Europe Data Wrangling Market Revenue, by Verticals , 2015 – 2024 (USD Billion)
16. U.K. Data Wrangling Market Revenue, by Business Function, 2015 – 2024 (USD Billion) 
17. U.K. Data Wrangling Market Revenue, by Component, 2015 – 2024 (USD Billion)
18. U.K. Data Wrangling Market Revenue, by Deployment, 2015 – 2024 (USD Billion)
19. U.K. Data Wrangling Market Revenue, by Verticals , 2015 – 2024 (USD Billion)
20. France Data Wrangling Market Revenue, by Business Function, 2015 – 2024 (USD Billion) 
21. France Data Wrangling Market Revenue, by Component, 2015 – 2024 (USD Billion)
22. France Data Wrangling Market Revenue, by Deployment, 2015 – 2024 (USD Billion)
23. France Data Wrangling Market Revenue, by Verticals , 2015 – 2024 (USD Billion)
24. Germany Data Wrangling Market Revenue, by Business Function, 2015 – 2024 (USD Billion) 
25. Germany Data Wrangling Market Revenue, by Component, 2015 – 2024 (USD Billion)
26. Germany Data Wrangling Market Revenue, by Deployment, 2015 – 2024 (USD Billion)
27. Germany Data Wrangling Market Revenue, by Verticals , 2015 – 2024 (USD Billion)
28. Asia-Pacific Data Wrangling Market Revenue, by Business Function, 2015 – 2024 (USD Billion) 
29. Asia-Pacific Data Wrangling Market Revenue, by Component, 2015 – 2024 (USD Billion)
30. Asia-Pacific Data Wrangling Market Revenue, by Deployment, 2015 – 2024 (USD Billion)
31. Asia-Pacific Data Wrangling Market Revenue, by Verticals , 2015 – 2024 (USD Billion)
32. China Data Wrangling Market Revenue, by Business Function, 2015 – 2024 (USD Billion) 
33. China Data Wrangling Market Revenue, by Component, 2015 – 2024 (USD Billion)
34. China Data Wrangling Market Revenue, by Deployment, 2015 – 2024 (USD Billion)
35. China Data Wrangling Market Revenue, by Verticals , 2015 – 2024 (USD Billion)
36. Japan Data Wrangling Market Revenue, by Business Function, 2015 – 2024 (USD Billion) 
37. Japan Data Wrangling Market Revenue, by Component, 2015 – 2024 (USD Billion)
38. Japan Data Wrangling Market Revenue, by Deployment, 2015 – 2024 (USD Billion)
39. Japan Data Wrangling Market Revenue, by Verticals , 2015 – 2024 (USD Billion)
40. India Data Wrangling Market Revenue, by Business Function, 2015 – 2024 (USD Billion) 
41. India Data Wrangling Market Revenue, by Component, 2015 – 2024 (USD Billion)
42. India Data Wrangling Market Revenue, by Deployment, 2015 – 2024 (USD Billion)
43. India Data Wrangling Market Revenue, by Verticals , 2015 – 2024 (USD Billion)
44. Latin America Data Wrangling Market Revenue, by Business Function, 2015 – 2024 (USD Billion) 
45. Latin America Data Wrangling Market Revenue, by Component, 2015 – 2024 (USD Billion)
46. Latin America Data Wrangling Market Revenue, by Deployment, 2015 – 2024 (USD Billion)
47. Latin America Data Wrangling Market Revenue, by Verticals , 2015 – 2024 (USD Billion)
48. Brazil Data Wrangling Market Revenue, by Business Function, 2015 – 2024 (USD Billion) 
49. Brazil Data Wrangling Market Revenue, by Component, 2015 – 2024 (USD Billion)
50. Brazil Data Wrangling Market Revenue, by Deployment, 2015 – 2024 (USD Billion)
51. Brazil Data Wrangling Market Revenue, by Verticals , 2015 – 2024 (USD Billion)
52. Middle East & Africa Data Wrangling Market Revenue, by Business Function, 2015 – 2024 (USD Billion) 
53. Middle East & Africa Data Wrangling Market Revenue, by Component, 2015 – 2024 (USD Billion)
54. Middle East & Africa Data Wrangling Market Revenue, by Deployment, 2015 – 2024 (USD Billion)
55. The Middle East & Africa Data Wrangling Market Revenue, by Verticals, 2015 – 2024 (USD Billion)

Methodology

Free Analysis

Data wrangling is defined as a process of mapping or transforming raw data into a valuable one for different applications such as analytics and forecasting. It is also known as data munging. It can also be defined as a process of unifying and cleaning complex and messy data sets for easy analysis and access. Iterative steps for data wrangling include discovering, structuring, cleansing, enriching, validating, and publishing. Different types of data problems faced by data analyzer are missing data, incorrect data, inconsistent representations of the same data, requirement of human intervention for data problems, and overly sanitizing data. With the use of visualization raw data or data issues can be detected, some of the visual representations are node-link diagram, matrix view, and sorted matrix view. The oldest tools used for data wrangling are SQL and Excel but recently, new tools have evolved for fast and powerful wrangling. Some new tools can be listed as Tabula, OpenRefine, “R” packages, DataWrangler, CSVKit, Python and Pandas, Trifacta Wrangler, and Mr. Data Converter. Big data analytics industry is frequently using data wrangling solutions for fast data analysis. Data wrangling aims to reveal deeper intelligence within data, provide actionable and accurate data to business analysts, reduce time in collecting and organizing the data, enable data scientist to concentrate on analysis rather than wrangling or transformation of data and outsource better decision-making skills. Some of the frameworks used frequently for data wrangling are “R”, Python, Julia, Java, Hadoop and Hive, Scala, and Kafka and Storm. Leading organizations such as PepsiCo, Royal Bank of Scotland, and Kaiser Permanente are utilizing the benefits of data wrangling solutions with Big Data to accelerate the analysis processes and also to incorporate new data sources that were difficult to work earlier. 

Increasing pace and volume of data and advancements in machine learning and AI technologies are some of the major factors which are catering to the data wrangling market growth. Lacking awareness regarding data wrangling tools in SMEs, and focus on maintaining data quality are hindering the market prospect in the forecast period. Increasing regulatory pressure and growth of edge computing are the major opportunities for the data wrangling market growth. However, serious factor curtailing the market growth is reluctance in shifting from traditional ETL tools to automated tools. 

Global Data Wrangling Market

Data wrangling market is segmented on the basis of business function, component, deployment, verticals, and region. On the basis of the business function, the market is categorized into finance, sales and marketing, operations, human resources, and legal. Further by the component type, the global data wrangling market is segmented into tools and services. Furthermore, by deployment type, the market is divided into on-premises and cloud. BFSI, government and public sector, healthcare and life science, retail and e-commerce, telecommunication and IT, travel and hospitality, manufacturing, energy & utilities, and others are the major end-user verticals using data wrangling. In terms of geographic region, North America is expected to dominate the market with highest market share due to the presence of developed economies. Asia Pacific region is expected to grow at the highest CAGR during the forecast period owing to the increasing manufacturing business in the region. Being a manufacturing hub, Asia Pacific region is expected to adopt the data wrangling solutions more substantially to export high-quality goods in a cost-efficient manner.

Many technical giants are showing interest in data wrangling for growing their businesses at a rapid pace. Some of the leading players in the global data wrangling market are IBM Corporation, Oracle, SAS Institute, Trifacta, Datawatch, Talend, Alteryx, Dataiku, TIBCO Software, Paxata, Informatica, Hitachi Vantara, Teradata, Onedot, Brilio, and others.

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