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1091883

데이터 랭글링 시장 : 세계 산업 동향, 점유율, 규모, 성장률, 기회, 예측(2022-2027년)

Data Wrangling Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2027

발행일: | 리서치사: IMARC Services Private Limited | 페이지 정보: 영문 147 Pages | 배송안내 : 2-3일 (영업일 기준)

※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계의 데이터 랭글링 시장 규모는 2021년에 22억 달러를 기록했으며, 2022-2027년 16.7%의 CAGR로 확대하고 2027년에 55억 달러에 달할 것으로 예상되고 있습니다. 이 시장을 촉진하는 요인으로는 IT 업계의 현저한 성장과 데이터 처리·클리닝을 위한 효과적인 툴 및 소프트웨어에 대한 수요의 증가 등을 들 수 있습니다.

세계의 데이터 랭글링 시장을 조사했으며, 시장의 개요, 시장 촉진요인·억제요인 분석, COVID-19의 영향, 시장 기회, 부문별 시장 분석, 경쟁 구도, 주요 기업의 개요 등의 정보를 정리하여 전해드립니다.

목차

제1장 서문

제2장 범위와 조사 방법

제3장 개요

제4장 서론

제5장 세계의 데이터 랭글링 시장

  • 시장 개요
  • 시장 실적
  • COVID-19의 영향

제6장 시장 내역 : 컴포넌트별

  • 솔루션
  • 서비스

제7장 시장 내역 : 도입 모드별

  • 온프레미스
  • 클라우드 기반

제8장 시장 내역 : 조직 규모별

  • 대기업
  • 중소기업

제9장 시장 내역 : 사업 기능별

  • 재무
  • 마케팅과 판매
  • 오퍼레이션
  • 인사

제10장 시장 내역 : 업계별

  • 은행, 금융 서비스, 보험
  • 정부와 공공 부문
  • 헬스케어와 생명과학
  • 소매와 E-Commerce
  • 미디어와 엔터테인먼트
  • IT와 통신
  • 제조
  • 기타

제11장 시장 내역 : 지역별

  • 북미
    • 미국
    • 캐나다
  • 아시아태평양
    • 중국
    • 일본
    • 인도
    • 한국
    • 호주
    • 인도네시아
    • 기타
  • 유럽
    • 독일
    • 프랑스
    • 영국
    • 이탈리아
    • 스페인
    • 러시아
    • 기타
  • 라틴아메리카
    • 브라질
    • 멕시코
    • 기타
  • 중동과 아프리카
    • 국가별 시장 내역

제12장 SWOT 분석

제13장 밸류체인 분석

제14장 Porter의 산업 분석

제15장 가격 분석

제16장 경쟁 구도

  • 시장 구조
  • 주요 기업
  • 주요 기업의 개요
    • 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
    • Trifacta Software Inc.
KSA 22.06.30

The global data wrangling market reached a value of US$ 2.2 Billion in 2021. Looking forward, IMARC Group expects the market to reach US$ 5.5 Billion by 2027, exhibiting a CAGR of 16.7% during 2022-2027. 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:

IMARC Group provides an analysis of the key trends in each sub-segment of the global data wrangling market, along with forecasts at the global, regional and country level from 2022-2027. 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
  • IT 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:

  • 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?

Table of Contents

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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