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Data Wrangling Market Report by Component (Solution, Service), Deployment Mode (On-premises, Cloud-based), Organization Size (Large Enterprises, Small and Medium Enterprises), Business Function (Finance, Marketing and Sales, Operations, Human Resources),

Publisher IMARC Services Pvt. Ltd.
Published Aug 10, 2024
Length 138 Pages
SKU # IMRC19103297

Description

Data Wrangling Market Report by Component (Solution, Service), Deployment Mode (On-premises, Cloud-based), Organization Size (Large Enterprises, Small and Medium Enterprises), Business Function (Finance, Marketing and Sales, Operations, Human Resources), Industry Vertical (BFSI, Government and Public Sector, Healthcare and Life Science, Retail and E-commerce, Media and Entertainment, IT and Telecom, Manufacturing, and Others), and Region 2024-2032


The global data wrangling market size reached US$ 3.0 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 10.6 Billion by 2032, exhibiting a growth rate (CAGR) of 14.6% during 2024-2032.

Data wrangling refers to the transformation and mapping of unorganized data to gain meaningful analytical insights. It involves cleaning, restructuring and enhancing raw data for data visualization and aggregation using advanced algorithms. Data wrangling tools and solutions can be deployed on-premises or on the cloud. The processed data is further utilized for advanced tasks, such as artificial intelligence (AI), machine learning (ML) and data analytics. In addition, it can also be used for optimizing various business functions, such as finance, marketing, sales, operation and human resources (HR). As a result, data wrangling solutions find extensive applications across various industries, including banking, financial services and insurance (BFSI), healthcare, retail, media, manufacturing and information technology (IT).

Data Wrangling Market Trends:

Significant growth in the IT industry, along with the increasing demand for effective tools and software for data processing and cleaning, is one of the key factors creating a positive outlook for the market. Moreover, rising concerns regarding data veracity among the consumers are escalating the demand for data wrangling solutions. Small, medium and large-scale organizations use these solutions to filter low-quality data, visualize distributions and inconsistencies and improve the organizational processes. In line with this, BFSI institutions use data wrangling processes to improve data security, organize semi-structured and unstructured data and optimize online banking portals. Additionally, various technological advancements, such as the deployment of big data and edge computing solutions, are acting as other growth-inducing factors. These technologies facilitate real-time forecasting and monitoring of incidents that may have a direct impact on the functioning of the organizations. Other factors, including rapid digitization, along with extensive research and development (R&D) activities, are anticipated to drive the market toward growth.

Key Market Segmentation:

IMARC Group provides an analysis of the key trends in each sub-segment of the global data wrangling market report, along with forecasts at the global, regional and country level from 2024-2032. Our report has categorized the market based on component, deployment mode, organization size, business function and industry vertical.

Breakup by Component:
  • Solution
  • Service
Breakup by Deployment Mode:
  • On-premises
  • Cloud-based
Breakup by Organization Size:
  • Large Enterprises
  • Small and Medium Enterprises
Breakup by Business Function:
  • Finance
  • Marketing and Sales
  • Operations
  • Human Resources
Breakup by Industry Vertical:
  • BFSI
  • Government and Public Sector
  • Healthcare and Life Science
  • Retail and E-commerce
  • Media and Entertainment
  • T and Telecom
  • Manufacturing
  • Others
Breakup by Region:
  • North America
  • United States
  • Canada
  • Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
  • Latin America
  • Brazil
  • Mexico
  • Others
  • Middle East and Africa
Competitive Landscape:

The competitive landscape of the industry has also been examined along with the profiles of the key players being ALTERYX INC., Altair Engineering Inc., Hitachi Vantara Corporation, Impetus Technologies Inc., International Business Machines Corporation, Oracle Corporation, SAS Institute Inc., Teradata Corporation, TIBCO Software Inc and Trifacta Software Inc.

Key Questions Answered in This Report

1. What was the size of the global data wrangling market in 2023?

2. What is the expected growth rate of the global data wrangling market during 2024-2032?

3. What are the key factors driving the global data wrangling market?

4. What has been the impact of COVID-19 on the global data wrangling market?

5. What is the breakup of the global data wrangling market based on the component?

6. What is the breakup of the global data wrangling market based on the deployment mode?

7. What is the breakup of the global data wrangling market based on organization size?

8. What is the breakup of the global data wrangling market based on the business function?

9. What is the breakup of the global data wrangling market based on the industry vertical?

10. What are the key regions in the global data wrangling market?

11. Who are the key players/companies in the global data wrangling market?

Table of Contents

138 Pages
1 Preface
2 Scope and Methodology
2.1 Objectives of the Study
2.2 Stakeholders
2.3 Data Sources
2.3.1 Primary Sources
2.3.2 Secondary Sources
2.4 Market Estimation
2.4.1 Bottom-Up Approach
2.4.2 Top-Down Approach
2.5 Forecasting Methodology
3 Executive Summary
4 Introduction
4.1 Overview
4.2 Key Industry Trends
5 Global Data Wrangling Market
5.1 Market Overview
5.2 Market Performance
5.3 Impact of COVID-19
5.4 Market Forecast
6 Market Breakup by Component
6.1 Solution
6.1.1 Market Trends
6.1.2 Market Forecast
6.2 Service
6.2.1 Market Trends
6.2.2 Market Forecast
7 Market Breakup by Deployment Mode
7.1 On-premises
7.1.1 Market Trends
7.1.2 Market Forecast
7.2 Cloud-based
7.2.1 Market Trends
7.2.2 Market Forecast
8 Market Breakup by Organization Size
8.1 Large Enterprises
8.1.1 Market Trends
8.1.2 Market Forecast
8.2 Small and Medium Enterprises
8.2.1 Market Trends
8.2.2 Market Forecast
9 Market Breakup by Business Function
9.1 Finance
9.1.1 Market Trends
9.1.2 Market Forecast
9.2 Marketing and Sales
9.2.1 Market Trends
9.2.2 Market Forecast
9.3 Operations
9.3.1 Market Trends
9.3.2 Market Forecast
9.4 Human Resources
9.4.1 Market Trends
9.4.2 Market Forecast
10 Market Breakup by Industry Vertical
10.1 BFSI
10.1.1 Market Trends
10.1.2 Market Forecast
10.2 Government and Public Sector
10.2.1 Market Trends
10.2.2 Market Forecast
10.3 Healthcare and Life Science
10.3.1 Market Trends
10.3.2 Market Forecast
10.4 Retail and E-commerce
10.4.1 Market Trends
10.4.2 Market Forecast
10.5 Media and Entertainment
10.5.1 Market Trends
10.5.2 Market Forecast
10.6 IT and Telecom
10.6.1 Market Trends
10.6.2 Market Forecast
10.7 Manufacturing
10.7.1 Market Trends
10.7.2 Market Forecast
10.8 Others
10.8.1 Market Trends
10.8.2 Market Forecast
11 Market Breakup by Region
11.1 North America
11.1.1 United States
11.1.1.1 Market Trends
11.1.1.2 Market Forecast
11.1.2 Canada
11.1.2.1 Market Trends
11.1.2.2 Market Forecast
11.2 Asia-Pacific
11.2.1 China
11.2.1.1 Market Trends
11.2.1.2 Market Forecast
11.2.2 Japan
11.2.2.1 Market Trends
11.2.2.2 Market Forecast
11.2.3 India
11.2.3.1 Market Trends
11.2.3.2 Market Forecast
11.2.4 South Korea
11.2.4.1 Market Trends
11.2.4.2 Market Forecast
11.2.5 Australia
11.2.5.1 Market Trends
11.2.5.2 Market Forecast
11.2.6 Indonesia
11.2.6.1 Market Trends
11.2.6.2 Market Forecast
11.2.7 Others
11.2.7.1 Market Trends
11.2.7.2 Market Forecast
11.3 Europe
11.3.1 Germany
11.3.1.1 Market Trends
11.3.1.2 Market Forecast
11.3.2 France
11.3.2.1 Market Trends
11.3.2.2 Market Forecast
11.3.3 United Kingdom
11.3.3.1 Market Trends
11.3.3.2 Market Forecast
11.3.4 Italy
11.3.4.1 Market Trends
11.3.4.2 Market Forecast
11.3.5 Spain
11.3.5.1 Market Trends
11.3.5.2 Market Forecast
11.3.6 Russia
11.3.6.1 Market Trends
11.3.6.2 Market Forecast
11.3.7 Others
11.3.7.1 Market Trends
11.3.7.2 Market Forecast
11.4 Latin America
11.4.1 Brazil
11.4.1.1 Market Trends
11.4.1.2 Market Forecast
11.4.2 Mexico
11.4.2.1 Market Trends
11.4.2.2 Market Forecast
11.4.3 Others
11.4.3.1 Market Trends
11.4.3.2 Market Forecast
11.5 Middle East and Africa
11.5.1 Market Trends
11.5.2 Market Breakup by Country
11.5.3 Market Forecast
12 SWOT Analysis
12.1 Overview
12.2 Strengths
12.3 Weaknesses
12.4 Opportunities
12.5 Threats
13 Value Chain Analysis
14 Porters Five Forces Analysis
14.1 Overview
14.2 Bargaining Power of Buyers
14.3 Bargaining Power of Suppliers
14.4 Degree of Competition
14.5 Threat of New Entrants
14.6 Threat of Substitutes
15 Price Analysis
16 Competitive Landscape
16.1 Market Structure
16.2 Key Players
16.3 Profiles of Key Players
16.3.1 ALTERYX INC.
16.3.1.1 Company Overview
16.3.1.2 Product Portfolio
16.3.1.3 Financials
16.3.2 Altair Engineering Inc.
16.3.2.1 Company Overview
16.3.2.2 Product Portfolio
16.3.2.3 Financials
16.3.2.4 SWOT Analysis
16.3.3 Hitachi Vantara Corporation
16.3.3.1 Company Overview
16.3.3.2 Product Portfolio
16.3.4 Impetus Technologies Inc.
16.3.4.1 Company Overview
16.3.4.2 Product Portfolio
16.3.5 International Business Machines Corporation
16.3.5.1 Company Overview
16.3.5.2 Product Portfolio
16.3.5.3 Financials
16.3.5.4 SWOT Analysis
16.3.6 Oracle Corporation
16.3.6.1 Company Overview
16.3.6.2 Product Portfolio
16.3.6.3 Financials
16.3.6.4 SWOT Analysis
16.3.7 SAS Institute Inc.
16.3.7.1 Company Overview
16.3.7.2 Product Portfolio
16.3.7.3 SWOT Analysis
16.3.8 Teradata Corporation
16.3.8.1 Company Overview
16.3.8.2 Product Portfolio
16.3.8.3 Financials
16.3.8.4 SWOT Analysis
16.3.9 TIBCO Software Inc
16.3.9.1 Company Overview
16.3.9.2 Product Portfolio
16.3.9.3 SWOT Analysis
16.3.10 Trifacta Software Inc.
16.3.10.1 Company Overview
16.3.10.2 Product Portfolio

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