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Data Wrangling Market Analysis- Industry Size, Share, Research Report, Insights, Covid-19 Impact, Statistics, Trends, Growth and Forecast 2022-2030

Published Date: July, 2022
No of Pages: 169
Delivery Format: PDF+ Excel

$2,950.00

Description of the Report

The global market for data wrangling size was $1,458.69 million in the year 2018. It is expected to grow to $5,581.18 million by 2026. It is projected to grow by 18.40 percent from 2019 until 2026. Data wrangling refers to cleansing up, restructuring, and improving the raw data available into the preferred format to facilitate more informed and better decision-making within a shorter period. Since the large data sets may hinder data analysis. Data wrangling has revolutionized the process and has streamlined the process, reducing lengthy attempts to learn about various sources of data. The benefit of data-wrangling is that it can be organized into a standard and repeatable process that converts data sources into a standard format that can be reused multiple times.

The Key Market Drivers

The trends in the market for data wrangling include an increase in the speed and volume of data across companies, and technological advances like AI and machine-learning technologies in data wrangling drive the expansion of this market. Additionally, the growth of edge computing applications is a major driver of growth in the market. But, the reluctance to move away from conventional ETL tools to more advanced automated tools hinders the expansion of the industry. In addition, increased regulatory pressure on companies is expected to create significant opportunities for market expansion over the next few years.

The BFSI sector was the dominant player in the market for data wrangling in the year 2018 and is expected to continue its lead throughout the forecast period due to the widespread adoption of technology for data wrangling among banks to analyze connections in bank data to identify patterns of suspicious activity by fraudsters. In addition, the retail and electronic commerce sector is predicted to expand at a substantial CAGR throughout the forecast due to the widespread adoption of data wrangling technologies within the e-commerce sector to deliver immediate recommendations to customers who shop online.

Report Coverage

The report focuses on the future growth opportunities and the restraints and trends of the market for data wrangling analysis. The study offers Porter’s five force analysis that helps analyze the effect of different factors like the bargaining power of suppliers and competitors’ competitive intensity threats from new competitors, the risk of substitutes, and the bargaining power of buyers in the market for data wrangling.

Market Segmentation

The global market for data wrangling is divided into deployment model, component size, organizational size, business functions vertical, industry verticals, and regional. As for the component, it is split into service and solution. Based on the deployment model, the market is classified into cloud and on-premise. Based on the size of an organization, the market can be divided into large companies and small- and medium-sized businesses (SMEs). For business functions, the market is divided into three categories: finance, marketing and operations, sales, and human resources. It is divided into BFSI government and the public sector, health and life sciences retail and e-commerce, entertainment and media and utilities, energy and telecom & IT manufacturing, and many more. Regionally, the market is studied throughout North America, Europe, Asia-Pacific, and LAMEA.

The report analyzes the profiles of major players in the marketplace: IBM Corporation, Oracle Corporation, SAS institute, Tibco Software, Hitachi Vantara, Teradata Corporation, Alteryx, Impetus, Trifacta Software Inc., and Paxata Inc. They have employed various strategies to expand their market reach and increase their position within the market.

Top Factors Impacting HTML0

Numerous Benefits Presented By Data Wrangling Solutions

The ability of analytics software for big data to provide faster and better decisions and provide an advantage in the market by analyzing and responding to information quickly accelerates the development in the industry. Additionally, the demand for software that can analyze big data continues to grow due to the benefits like accessibility to crucial business metrics, insightful information on the behavior of customers, higher profits, better efficiency, and many more. Additionally, businesses are embracing data wrangling to make real-time forecasts and monitor various events which could impact the efficiency of their companies. Furthermore, the capability of the solution to reduce risks by making better decision-making regarding unexpected circumstances like cyberattacks and other crises more rapidly increase the demand for the market for data wrangling.

A lack of awareness Of Data-Wrangling tools SME

The lack of awareness around the product and the higher use of conventional ETL tools are hindering the market’s expansion. Data manipulation is utilized to obtain useful insights from raw data and address time-sensitive business issues with the introduction of emerging technologies like Big Data Analytics and Machine Learning. This is why organizations lack the right capabilities to adopt this technology within their businesses, hindering the expansion in the marketplace. In addition, the absence of knowledge of data wrangling strategies among organizations in developing countries, such as China and India, hinders growth in the marketplace. Additionally, the high price of implementing wrangling technologies hinders industry development.

Asia-Pacific is expected to show the most impressive CAGR of 20.90 percent from 2019 to 2026.

The Benefits to Stakeholders of HTML0:

  • The report provides a thorough analysis of the global information market for wrangling as well as the present and future trends to identify coming investment opportunities.
  • Details on important drivers, constraints, and opportunities, as well as their impact analysis on the market’s size, are included in the report.
  • Porter’s Five Forces analysis demonstrates the potential of buyers as well as suppliers in the business.
  • A quantitative assessment of the global market for data-wrangling between 2019 and 2026 will be provided to assess the potential market.

Data Wrangling Market  Report Scope and Segmentation

ATTRIBUTESDETAILS
ESTIMATED YEAR2022
BASE YEAR2021
FORECAST YEAR2030
HISTORICAL YEAR2017-2021
UNITValue (USD Million/Billion)
BY REGIONNorth America, Europe, Asia Pacific, Latin America, Middle East and Africa

The Key Market Segments

    • By the size of an organization
      • Large Enterprises
      • Small & Medium Enterprises
    • By Component
      • Solution
      • Service
    • By Deployment Mode
      • On-Premise
      • Cloud
    • By Business Function
      • Finance
      • Marketing & Sales
      • Operations and Supply chain
      • Human Resources
    • By Industry Vertical
      • BFSI
      • Government & Public Sector
      • Healthcare & Life Science
      • E-commerce and Retail
      • Media & Entertainment
      • IT & Telecom
      • Manufacturing
      • Other
    • By Region
      • North America
        • US
        • Canada
        • Mexico
      • Europe
        • Germany
        • Italy
        • France
        • UK
        • Spain
        • Poland
        • Russia
        • The Netherlands
        • Norway
        • Czech Republic
        • Rest of Europe
      • Asia Pacific
        • China
        • Japan
        • India
        • South Korea
        • Indonesia
        • Malaysia
        • Thailand
        • Singapore
        • Australia & New Zealand
        • Rest of Asia Pacific
      • South America
        • Brazil
        • Argentina
        • Colombia
        • Rest of South America
      • The Middle East & Africa
        • Saudi Arabia
        • UAE
        • South Africa
        • Northern Africa
        • Rest of MEA

 

The Key Market Player

  • Alteryx, Inc.
  • Hitachi Vantara Corporation
  • International Business Machines Corporation
  • Impetus Technologies, Inc.
  • Oracle Corporation
  • Paxata, Inc.
  • SAS Institute Inc.
  • TIBCO Software Inc.
  • Teradata Corporation
  • Trifacta

Table of Contents

CHAPTER 1: INTRODUCTION

1.1. Report description
1.2. Key benefits for stakeholders
1.3. Key market segments
1.4. By Region
1.5. Research methodology

1.5.1. Secondary research
1.5.2. Primary research
1.5.3. Analyst tools & models

CHAPTER 2: EXECUTIVE SUMMARY

2.1. Key findings

2.1.1. Top impacting factors
2.1.2. Top investment pockets

2.2. CXO perspective

CHAPTER 3: MARKET OVERVIEW

3.1. Market definition and scope
3.2. Key forces shaping global Data wrangling market
3.3. Case Studies

3.3.1. Case Study 01
3.3.2. Case Study 02

3.4. Market dynamics

3.4.1. Drivers

3.4.1.1. Increase in adoption of big data analytics software by multiple organizations
3.4.1.2. Surge in demand for cloud-based big data analytics software among SMEs
3.4.1.3. Numerous benefits provided by data wranglingsolutions

3.4.2. Restraints

3.4.2.1. Lack of Awareness of Data Wrangling Tools Among SMEs
3.4.2.2. Concerns regarding the data quality issues.

3.4.3. Opportunities

3.4.3.1. Growth of Edge Computing

CHAPTER 4: GLOBAL DATA WRANGLING MARKET, BY COMPONENT

4.1. Overview

4.1.1. Market size and forecast

4.2. Solution

4.2.1. Key market trends, growth factors and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market analysis by country

4.3. Services

4.3.1. Key market trends, growth factors, and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market analysis by country

CHAPTER 5: GLOBAL DATA WRANGLING MARKET, BY DEPLOYMENT MODE

5.1. Overview

5.1.1. Market size and forecast

5.2. On-Premise

5.2.1. Key market trends, growth factors, and opportunities
5.2.2. Market size and forecast, by region
5.2.3. Market analysis by country

5.3. Cloud

5.3.1. Key market trends, growth factors and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Market analysis by country

CHAPTER 6: GLOBAL DATA WRANGLING MARKET, BY ORGANIZATION SIZE

6.1. Overview

6.1.1. Market size and forecast

6.2. Large Enterprises

6.2.1. Key market trends, growth factors and opportunities
6.2.2. Market size and forecast, by region
6.2.3. Market analysis by country

6.3. Small & Medium Enterprises

6.3.1. Key market trends, growth factors and opportunities
6.3.2. Market size and forecast, by region
6.3.3. Market analysis by country

CHAPTER 7: GLOBAL DATA WRANGLING MARKET, BY BUSINESS FUNCTION

7.1. Overview

7.1.1. Market size and forecast

7.2. Finance

7.2.1. Key market trends, growth factors, and opportunities
7.2.2. Market size and forecast, by region
7.2.3. Market analysis, by country

7.3. Marketing & Sales

7.3.1. Key market trends, growth factors and opportunities
7.3.2. Market size and forecast, by region
7.3.3. Market analysis by country

7.4. Operations & Supply chain

7.4.1. Key market trends, growth factors, and opportunities
7.4.2. Market size and forecast, by region
7.4.3. Market analysis, by country

7.6. Human Resources

7.6.1. Key market trends, growth factors and opportunities
7.6.2. Market size and forecast, by region
7.6.3. Market analysis by country

CHAPTER 8: DATA WRANGLING MARKET, BY INDUSTRY VERTICAL

8.1. Overview

8.1.1. Market size and forecast

8.2. BFSI

8.2.1. Key market trends, growth factors and opportunities
8.2.2. Market size and forecast, by region
8.2.3. Market analysis by country

8.3. Manufacturing

8.3.1. Key market trends, growth factors and opportunities
8.3.2. Market size and forecast, by region
8.3.3. Market analysis by country

8.4. Healthcare

8.4.1. Key market trends, growth factors and opportunities
8.4.2. Market size and forecast, by region
8.4.3. Market analysis by country

8.5. Government

8.5.1. Key market trends, growth factors and opportunities
8.5.2. Market size and forecast, by region
8.5.3. Market analysis by country

8.6. Retail & Ecommerce

8.6.1. Key market trends, growth factors and opportunities
8.6.2. Market size and forecast, by region
8.6.3. Market analysis by country

8.7. IT & Telecom

8.7.1. Key market trends, growth factors and opportunities
8.7.2. Market size and forecast, by region
8.7.3. Market analysis by country

8.8. Education

8.8.1. Key market trends, growth factors and opportunities
8.8.2. Market size and forecast, by region
8.8.3. Market analysis by country

8.9. Others

8.9.1. Key market trends, growth factors and opportunities
8.9.2. Market size and forecast, by region
8.9.3. Market analysis by country

CHAPTER 9: GLOBAL DATA WRANGLING MARKET, BY REGION

9.1. Overview

9.1.1. Market size and forecast, by region

9.2. North America

9.2.1. Key market trends, growth factors and opportunities
9.2.2. Market size and forecast, by component
9.2.3. Market size and forecast, by deployment model
9.2.4. Market size and forecast, by organization size
9.2.5. Market size and forecast, by business function
9.2.6. Market size and forecast, by industry vertical
9.2.7. Market analysis by Country

9.2.7.1. U.S.

9.2.7.1.1. Market size and forecast, by component
9.2.7.1.2. Market size and forecast, by deployment model
9.2.7.1.3. Market size and forecast, by enterprise size
9.2.7.1.4. Market size and forecast, by business function
9.2.7.1.5. Market size and forecast, by industry vertical

9.2.7.2. CANADA

9.2.7.2.1. Market size and forecast, by component
9.2.7.2.2. Market size and forecast, by deployment model
9.2.7.2.3. Market size and forecast, by organization size
9.2.7.2.4. Market size and forecast, by business function
9.2.7.2.5. Market size and forecast, by industry vertical

9.3. Europe

9.3.1. Key market trends, growth factors and opportunities
9.3.2. Market size and forecast, by component
9.3.3. Market size and forecast, by deployment model
9.3.4. Market size and forecast, by organization size
9.3.5. Market size and forecast, by business function
9.3.6. Market size and forecast, by industry vertical
9.3.7. Market analysis by Country

9.3.7.1. UK

9.3.7.1.1. Market size and forecast, by component
9.3.7.1.2. Market size and forecast, by deployment model
9.3.7.1.3. Market size and forecast, by organization size
9.3.7.1.4. Market size and forecast, by business function
9.3.7.1.5. Market size and forecast, by industry vertical

9.3.7.2. GERMANY

9.3.7.2.1. Market size and forecast, by component
9.3.7.2.2. Market size and forecast, by deployment model
9.3.7.2.3. Market size and forecast, by organization size
9.3.7.2.4. Market size and forecast, by business function
9.3.7.2.5. Market size and forecast, by industry vertical

9.3.7.3. FRANCE

9.3.7.3.1. Market size and forecast, by component
9.3.7.3.2. Market size and forecast, by deployment model
9.3.7.3.3. Market size and forecast, by organization size
9.3.7.3.4. Market size and forecast, by business function
9.3.7.3.5. Market size and forecast, by industry vertical

9.3.7.4. ITALY

9.3.7.4.1. Market size and forecast, by component
9.3.7.4.2. Market size and forecast, by deployment model
9.3.7.4.3. Market size and forecast, by organization size
9.3.7.4.4. Market size and forecast, by business function
9.3.7.4.5. Market size and forecast, by industry vertical

9.3.7.5. SPAIN

9.3.7.5.1. Market size and forecast, by component
9.3.7.5.2. Market size and forecast, by deployment model
9.3.7.5.3. Market size and forecast, by organization size
9.3.7.5.4. Market size and forecast, by business function
9.3.7.5.5. Market size and forecast, by industry vertical

9.3.7.6. RUSSIA

9.3.7.6.1. Market size and forecast, by component
9.3.7.6.2. Market size and forecast, by deployment model
9.3.7.6.3. Market size and forecast, by organization size
9.3.7.6.4. Market size and forecast, by business function
9.3.7.6.5. Market size and forecast, by industry vertical

9.3.7.7. REST OF EUROPE

9.3.7.7.1. Market size and forecast, by component
9.3.7.7.2. Market size and forecast, by deployment model
9.3.7.7.3. Market size and forecast, by organization size
9.3.7.7.4. Market size and forecast, by business function
9.3.7.7.5. Market size and forecast, by industry vertical

9.4. Asia-Pacific

9.4.1. Key market trends, growth factors, and opportunities
9.4.2. Market size and forecast, by component
9.4.3. Market size and forecast, by deployment model
9.4.4. Market size and forecast, by organization size
9.4.5. Market size and forecast, by business function
9.4.6. Market size and forecast, by industry vertical
9.4.7. Market analysis by Country

9.4.7.1. CHINA

9.4.7.1.1. Market size and forecast, by component
9.4.7.1.2. Market size and forecast, by deployment model
9.4.7.1.3. Market size and forecast, by organization size
9.4.7.1.4. Market size and forecast, by business function
9.4.7.1.5. Market size and forecast, by industry vertical

9.4.7.2. INDIA

9.4.7.2.1. Market size and forecast, by component
9.4.7.2.2. Market size and forecast, by deployment model
9.4.7.2.3. Market size and forecast, by organization size
9.4.7.2.4. Market size and forecast, by business function
9.4.7.2.5. Market size and forecast, by industry vertical

9.4.7.3. JAPAN

9.4.7.3.1. Market size and forecast, by component
9.4.7.3.2. Market size and forecast, by deployment model
9.4.7.3.3. Market size and forecast, by organization size
9.4.7.3.4. Market size and forecast, by business function
9.4.7.3.5. Market size and forecast, by industry vertical

9.4.7.4. AUSTRALIA

9.4.7.4.1. Market size and forecast, by component
9.4.7.4.2. Market size and forecast, by deployment model
9.4.7.4.3. Market size and forecast, by organization size
9.4.7.4.4. Market size and forecast, by business function
9.4.7.4.5. Market size and forecast, by industry vertical

9.4.7.5. SINGAPORE

9.4.7.5.1. Market size and forecast, by component
9.4.7.5.2. Market size and forecast, by deployment model
9.4.7.5.3. Market size and forecast, by organization size
9.4.7.5.4. Market size and forecast, by business function
9.4.7.5.5. Market size and forecast, by industry vertical

9.4.7.6. SOUTH KOREA

9.4.7.6.1. Market size and forecast, by component
9.4.7.6.2. Market size and forecast, by deployment model
9.4.7.6.3. Market size and forecast, by organization size
9.4.7.6.4. Market size and forecast, by business function
9.4.7.6.5. Market size and forecast, by industry vertical

9.4.7.7. REST OF ASIA-PACIFIC

9.4.7.7.1. Market size and forecast, by component
9.4.7.7.2. Market size and forecast, by deployment model
9.4.7.7.3. Market size and forecast, by organization size
9.4.7.7.4. Market size and forecast, by business function
9.4.7.7.5. Market size and forecast, by industry vertical

9.5. LAMEA

9.5.1. Key market trends, growth factors and opportunities
9.5.2. Market size and forecast, by component
9.5.3. Market size and forecast, by deployment model
9.5.4. Market size and forecast, by organization size
9.5.5. Market size and forecast, by business function
9.5.6. Market size and forecast, by industry vertical
9.5.7. Market analysis by Country

9.5.7.1. LATIN AMERICA

9.5.7.1.1. Market size and forecast, by component
9.5.7.1.2. Market size and forecast, by deployment model
9.5.7.1.3. Market size and forecast, by organization size
9.5.7.1.4. Market size and forecast, by business function
9.5.7.1.5. Market size and forecast, by industry vertical

9.5.7.2. MIDDLE EAST

9.5.7.2.1. Market size and forecast, by component
9.5.7.2.2. Market size and forecast, by deployment model
9.5.7.2.3. Market size and forecast, by organization size
9.5.7.2.4. Market size and forecast, by business function
9.5.7.2.5. Market size and forecast, by industry vertical

9.5.7.3. AFRICA

9.5.7.3.1. Market size and forecast, by component
9.5.7.3.2. Market size and forecast, by deployment model
9.5.7.3.3. Market size and forecast, by organization size
9.5.7.3.4. Market size and forecast, by business function
9.5.7.3.5. Market size and forecast, by industry vertical

CHAPTER 10: COMPETITIVE LANDSCAPE

10.1. Market player positioning, 2018

10.1.1. Top winning strategies

10.2. Value Chain Analysis
10.3. Competitive dashboard
10.4. Key Developments

10.4.1. Partnership
10.4.2. Acquisition
10.4.3. Collaboration
10.4.4. Business Expansion
10.4.5. Product Development
10.4.6. Product Launch

CHAPTER 11: COMPANY PROFILE

11.1. Alteryx, Inc.

11.1.1. Company overview
11.1.2. Key Executives
11.1.3. Company snapshot
11.1.4. Product portfolio
11.1.5. R&D Expenditure
11.1.6. Business performance
11.1.7. Key strategic moves and developments

11.2. Hitachi Vantara Corporation

11.2.1. Company overview
11.2.2. Key Executives
11.2.3. Company snapshot
11.2.4. Operating business segments
11.2.5. Product portfolio
11.2.6. R&D Expenditure
11.2.7. Business performance
11.2.8. Key strategic moves and developments

11.3. International Business Machines Corporation

11.3.1. Company overview
11.3.2. Key Executives
11.3.3. Company snapshot
11.3.4. Operating business segments
11.3.5. Product portfolio
11.3.6. R&D Expenditure
11.3.7. Business performance
11.3.8. Key strategic moves and developments

11.4. Impetus Technologies, Inc.

11.4.1. Company overview
11.4.2. Key Executives
11.4.3. Company snapshot
11.4.4. Product portfolio
11.4.5. Key strategic moves and developments

11.5. Oracle Corporation

11.5.1. Company overview
11.5.2. Key Executives
11.5.3. Company snapshot
11.5.4. Operating business segments
11.5.5. Product portfolio
11.5.6. R&D Expenditure
11.5.7. Business performance
11.5.8. Key strategic moves and developments

11.6. Paxata, Inc.

11.6.1. Company overview
11.6.2. Key Executives
11.6.3. Company snapshot
11.6.4. Product portfolio
11.6.5. Key strategic moves and developments

11.7. SAS Institute Inc.

11.7.1. Company overview
11.7.2. Key Executives
11.7.3. Company snapshot
11.7.4. Product portfolio
11.7.5. Business performance
11.7.6. Key strategic moves and developments

11.8. TIBCO Software Inc.

11.8.1. Company overview
11.8.2. Key Executives
11.8.3. Company snapshot
11.8.4. Product portfolio
11.8.5. Key strategic moves and developments

11.9. Teradata Corporation

11.9.1. Company overview
11.9.2. Key Executives
11.9.3. Company snapshot
11.9.4. Product portfolio
11.9.5. Key strategic moves and developments

11.10. Trifacta

11.10.1. Company overview
11.10.2. Key Executives
11.10.3. Company snapshot
11.10.4. Product portfolio
11.10.5. Key strategic moves and developments

LIST OF TABLES

TABLE 01. GLOBAL DATA WRANGLING MARKET, BY COMPONENT, 2018-2026($MILLION)
TABLE 02. GLOBAL DATA WRANGLING MARKET REVENUE FOR SOLUTION, BY REGION 2018-2026 ($MILLION)
TABLE 03. GLOBAL DATA WRANGLING MARKET REVENUE FOR SERVICES, BY REGION, 2018-2026 ($MILLION)
TABLE 04. GLOBAL DATA WRANGLING SOFTWARE MARKET REVENUE, BY DEPLOYMENT MODE, 2018-2026 ($MILLION)
TABLE 05. GLOBAL DATA WRANGLING MARKET REVENUE FOR ON-PREMISE, BY REGION 20182026 ($MILLION)
TABLE 06. GLOBAL DATA WRANGLING MARKET REVENUE FOR CLOUD, BY REGION 20182026 ($MILLION)
TABLE 07. GLOBAL DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE , 2018-2026($MILLION)
TABLE 08. GLOBAL DATA WRANGLING MARKET REVENUE FOR LARGE ENTERPRISES, BY REGION 2018-2026 ($MILLION)
TABLE 09. GLOBAL DATA WRANGLING MARKET REVENUE FOR SMALL & MEDIUM ENTERPRISES, BY REGION 2018-2026 ($MILLION)
TABLE 10. GLOBAL DATA WRANGLING SOFTWARE MARKET REVENUE, BY BUSINESS FUNCTION, 2018-2026 ($MILLION)
TABLE 11. GLOBAL DATA WRANGLING MARKET REVENUE FOR FINANCE, BY REGION 20182026 ($MILLION)
TABLE 12. GLOBAL DATA WRANGLING SOFTWARE MARKET REVENUE FOR MARKETING & SALES, BY REGION 20182026 ($MILLION)
TABLE 13. GLOBAL DATA WRANGLING MARKET REVENUE FOR OPERATIONS, BY REGION 20182026 ($MILLION)
TABLE 14. GLOBAL DATA WRANGLING SOFTWARE MARKET REVENUE FOR HUMAN RESOURCES, BY REGION 20182026 ($MILLION)
TABLE 01. GLOBAL DATA WRANGLING SOFTWARE MARKET REVENUE, BY INDUSTRY VERTICAL, 2018-2026 ($MILLION)
TABLE 02. GLOBAL DATA WRANGLING MARKET REVENUE FOR BFSI, BY REGION 2018-2026 ($MILLION)
TABLE 03. GLOBAL DATA WRANGLING MARKET REVENUE FOR MANUFACTURING, BY REGION 2018-2026 ($MILLION)
TABLE 04. GLOBAL DATA WRANGLING MARKET REVENUE FOR HEALTHCARE, BY REGION 2018-2026 ($MILLION)
TABLE 05. GLOBAL DATA WRANGLING MARKET REVENUE FOR GOVERNMENT, BY REGION 2018-2026 ($MILLION)
TABLE 06. GLOBAL DATA WRANGLING MARKET REVENUE FOR RETAIL AND ECOMMERCE, BY REGION 2018-2026 ($MILLION)
TABLE 07. GLOBAL DATA WRANGLING MARKET REVENUE FOR IT & TELECOM, BY REGION 2018-2026 ($MILLION)
TABLE 08. GLOBAL DATA WRANGLING MARKET REVENUE FOR EDUCATION, BY REGION 2018-2026 ($MILLION)
TABLE 09. GLOBAL DATA WRANGLING MARKET REVENUE FOR OTHERS, BY REGION 2018-2026 ($MILLION)
TABLE 10. GLOBAL DATA WRANGLING MARKET REVENUE, BY REGION, 20182026 ($MILLION)
TABLE 11. NORTH AMERICA DATA WRANGLING MARKET REVENUE, BY COMPONENT 20182026 ($MILLION)
TABLE 12. NORTH AMERICA DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 20182026 ($MILLION)
TABLE 13. NORTH AMERICA DATA WRANGLING MARKET REVENUE, BY ENTERPRISE SIZE, 20182026 ($MILLION)
TABLE 14. NORTH AMERICA DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 20182026 ($MILLION)
TABLE 15. NORTH AMERICA DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 20182026 ($MILLION)
TABLE 16. NORTH AMERICA DATA WRANGLING MARKET REVENUE, BY COUNTRY, 20182026 ($MILLION)
TABLE 17. U.S. DATA WRANGLING MARKET REVENUE, BY COMPONENT 20182026 ($MILLION)
TABLE 18. U.S. DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 20182026 ($MILLION)
TABLE 19. U.S. DATA WRANGLING MARKET REVENUE, BY ENTERPRISE SIZE, 20182026 ($MILLION)
TABLE 20. U.S. DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 20182026 ($MILLION)
TABLE 21. U.S. DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 20182026 ($MILLION)
TABLE 22. CANADA DATA WRANGLING MARKET REVENUE, BY COMPONENT 20182026 ($MILLION)
TABLE 23. CANADA DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 20182026 ($MILLION)
TABLE 24. CANADA DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 20182026 ($MILLION)
TABLE 25. CANADA DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 20182026 ($MILLION)
TABLE 26. CANADA DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 20182026 ($MILLION)
TABLE 27. EUROPE DATA WRANGLING MARKET REVENUE, BY COMPONENT 20182026 ($MILLION)
TABLE 28. EUROPE DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 20182026 ($MILLION)
TABLE 29. EUROPE DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 20182026 ($MILLION)
TABLE 30. EUROPE DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 20182026 ($MILLION)
TABLE 31. EUROPE DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 20182026 ($MILLION)
TABLE 32. EUROPE DATA WRANGLING MARKET REVENUE, BY COUNTRY, 20182026 ($MILLION)
TABLE 33. UK DATA WRANGLING MARKET REVENUE, BY COMPONENT 20182026 ($MILLION)
TABLE 34. UK DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 20182026 ($MILLION)
TABLE 35. UK DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 20182026 ($MILLION)
TABLE 36. UK DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 20182026 ($MILLION)
TABLE 37. UK DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 20182026 ($MILLION)
TABLE 38. GERMANY DATA WRANGLING MARKET REVENUE, BY COMPONENT 20182026 ($MILLION)
TABLE 39. GERMANY DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 20182026 ($MILLION)
TABLE 40. GERMANY DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 20182026 ($MILLION)
TABLE 41. GERMANY DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 20182026 ($MILLION)
TABLE 42. GERMANY DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 20182026 ($MILLION)
TABLE 43. FRANCE DATA WRANGLING MARKET REVENUE, BY COMPONENT 20182026 ($MILLION)
TABLE 44. FRANCE DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 20182026 ($MILLION)
TABLE 45. FRANCE DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 20182026 ($MILLION)
TABLE 46. FRANCE DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 20182026 ($MILLION)
TABLE 47. FRANCE DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 20182026 ($MILLION)
TABLE 48. ITALY DATA WRANGLING MARKET REVENUE, BY COMPONENT 20182026 ($MILLION)
TABLE 49. ITALY DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 20182026 ($MILLION)
TABLE 50. ITALY DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 20182026 ($MILLION)
TABLE 51. ITALY DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 20182026 ($MILLION)
TABLE 52. ITALY DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 20182026 ($MILLION)
TABLE 53. SPAIN DATA WRANGLING MARKET REVENUE, BY COMPONENT 20182026 ($MILLION)
TABLE 54. SPAIN DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 20182026 ($MILLION)
TABLE 55. SPAIN DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 20182026 ($MILLION)
TABLE 56. SPAIN DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 20182026 ($MILLION)
TABLE 57. SPAIN DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 20182026 ($MILLION)
TABLE 58. RUSSIA DATA WRANGLING MARKET REVENUE, BY COMPONENT 20182026 ($MILLION)
TABLE 59. RUSSIA DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 20182026 ($MILLION)
TABLE 60. RUSSIA DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 20182026 ($MILLION)
TABLE 61. RUSSIA DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 20182026 ($MILLION)
TABLE 62. RUSSIA DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 20182026 ($MILLION)
TABLE 63. REST OF EUROPE DATA WRANGLING MARKET REVENUE, BY COMPONENT 20182026 ($MILLION)
TABLE 64. REST OF EUROPE DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 20182026 ($MILLION)
TABLE 65. REST OF EUROPE DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 20182026 ($MILLION)
TABLE 66. REST OF EUROPE DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 20182026 ($MILLION)
TABLE 67. REST OF EUROPE DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 20182026 ($MILLION)
TABLE 68. ASIA-PACIFIC DATA WRANGLING MARKET REVENUE, BY COMPONENT 20182026 ($MILLION)
TABLE 69. ASIA-PACIFIC DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 20182026 ($MILLION)
TABLE 70. ASIA-PACIFIC DATA WRANGLING MARKET REVENUE, BY ENTERPRISE SIZE, 20182026 ($MILLION)
TABLE 71. ASIA-PACIFIC DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 20182026 ($MILLION)
TABLE 72. ASIA-PACIFIC DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 20182026 ($MILLION)
TABLE 73. ASIA-PACIFIC DATA WRANGLING MARKET REVENUE, BY COUNTRY, 20182026 ($MILLION)
TABLE 74. CHINA DATA WRANGLING MARKET REVENUE, BY COMPONENT 20182026 ($MILLION)
TABLE 75. CHINA DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 20182026 ($MILLION)
TABLE 76. CHINA DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 20182026 ($MILLION)
TABLE 77. CHINA DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 20182026 ($MILLION)
TABLE 78. CHINA DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 20182026 ($MILLION)
TABLE 79. INDIA DATA WRANGLING MARKET REVENUE, BY COMPONENT 20182026 ($MILLION)
TABLE 80. INDIA DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 20182026 ($MILLION)
TABLE 81. INDIA DATA WRANGLING MARKET REVENUE, BY ORGANIZATION SIZE, 20182026 ($MILLION)
TABLE 82. INDIA DATA WRANGLING MARKET REVENUE, BY BUSINESS FUNCTION, 20182026 ($MILLION)
TABLE 83. INDIA DATA WRANGLING MARKET REVENUE, BY INDUSTRY VERTICAL, 20182026 ($MILLION)
TABLE 84. JAPAN DATA WRANGLING MARKET REVENUE, BY COMPONENT 20182026 ($MILLION)
TABLE 85. JAPAN DATA WRANGLING MARKET REVENUE, BY DEPLOYMENT MODEL 20182026 ($MILLION)
TABLE 86. JAPAN DATA WRANGLING MARK

Major Companies

  • Alteryx, Inc.
  • Hitachi Vantara Corporation
  • International Business Machines Corporation
  • Impetus Technologies, Inc.
  • Oracle Corporation
  • Paxata, Inc.
  • SAS Institute Inc.
  • TIBCO Software Inc.
  • Teradata Corporation
  • Trifacta

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    • Small & Medium Enterprises
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    • Healthcare & Life Science
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    • Media & Entertainment
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    • Other

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