시장보고서
상품코드
1645313

세계의 데이터 랭글링 시장 : 시장 규모, 점유율, 동향 분석 보고서 - 전개 모드별, 컴포넌트별, 비즈니스 기능별, 조직 규모별, 업계별, 지역별 전망 및 예측(2024-2031년)

Global Data Wrangling Market Size, Share & Trends Analysis Report By Deployment Mode (On-premise, and Cloud), By Component, By Business Function, By Organization Size, By Vertical, By Regional Outlook and Forecast, 2024 - 2031

발행일: | 리서치사: KBV Research | 페이지 정보: 영문 364 Pages | 배송안내 : 즉시배송

    
    
    



※ 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 예측 기간 동안 13.9%의 연평균 복합 성장률(CAGR)로 시장 성장할 전망이며, 2031년까지 76억 달러에 달할 것으로 예상됩니다.

또한 업계 전반에서 인공지능(AI)과 머신러닝(ML)에 대한 의존도가 높아짐에 따라 고품질의 구조화된 데이터에 대한 필요성이 커지고 있습니다. 이는 AI 모델의 효율성과 정확성을 높이는 데 중요한 역할을 합니다. 제대로 준비되지 않은 데이터는 바이어스, 오류, 부정확성을 초래하여 모델 예측의 신뢰성을 저하시킬 수 있습니다. 따라서 AI가 지속적으로 진화함에 따라 지능형 자기 학습형 데이터 랭글링 툴에 대한 수요가 증가하고 이 시장이 더욱 추진될 것으로 예상됩니다.

그러나 데이터 랭글링 솔루션을 구현하려면 조직이 고급 소프트웨어, IT 인프라 및 숙련된 전문가에게 많은 투자를 해야 하기 때문에 상당한 재무 문제가 수반됩니다. 이러한 솔루션에는 AI 구동 자동화, 머신러닝 알고리즘, 클라우드 기반 프로세싱이 포함되어 있으며, 이 모든 것에 많은 비용이 듭니다. 따라서 이러한 요인은 시장 성장을 방해할 수 있습니다.

전개 모드별 전망

전개 모드에 따라 시장은 클라우드와 온프레미스로 분류됩니다. 클라우드 부문은 2023년 시장에서 37%의 수익 점유율을 획득했습니다. 데이터 분석 기능의 최신화를 목표로 하는 기업은 클라우드 기반 랭글링 플랫폼을 활용하여 자동 데이터 처리, AI 주도 변환, 원활한 멀티 클라우드 통합을 실현합니다. 실시간 분석, 원격 액세스 및 세계 협업에 대한 수요가 증가함에 따라 기업은 많은 양의 인프라 투자 없이 여러 소스의 데이터를 효율적으로 처리하고 관리할 수 있으므로 클라우드 채택이 더욱 촉진됩니다.

컴포넌트별 전망

컴포넌트를 기반으로 시장은 솔루션과 서비스로 나뉩니다. 서비스 부문은 2023년 시장에서 28%의 수익 점유율을 기록했습니다. 많은 조직, 특히 중소기업과 레거시 인프라를 보유한 대기업은 복잡한 데이터 변환, 마이그레이션 및 컴플라이언스 프로세스를 효과적으로 관리하기 위한 내부 전문 지식이 부족합니다. 그 결과 데이터 정리, 중복 제거, 강화, 검증 등의 작업을 처리하기 위해 타사 서비스 제공업체에 의존하여 데이터의 정확성, 일관성 및 분석을 준비할 수 있습니다.

비즈니스 기능별 전망

비즈니스 기능을 바탕으로 시장은 재무와 IT, 영업 및 마케팅, 인사, 운영 등으로 나뉩니다. 재무 및 IT 부문은 2023년 시장에서 28%의 수익 점유율을 획득했습니다. 은행, 보험 회사, 투자 회사 등 금융 기관은 정확한 분석을 위해 청소, 구조화, 통합해야 하는 엄청난 양의 거래, 시장 및 고객 데이터를 처리합니다. 바젤 III, IFRS, SOX 컴플라이언스와 같은 규정은 엄격한 데이터 거버넌스와 감사 추적을 요구하며 효율적인 데이터 랭글링 솔루션이 필요합니다.

조직 규모별 전망

조직 규모별로 보면 시장은 중소기업과 대기업으로 나뉘어져 있습니다. 중소기업 부문은 2023년 시장에서 25%의 수익 점유율을 기록했습니다. 중소기업(SME)은 종종 IT 예산과 사내 데이터 전문 지식이 제한되어 있어 저렴한 가격으로 사용하기 쉬운 데이터 랭글링 솔루션에 의존합니다. 구독 기반 SaaS 모델과 온디맨드 데이터 처리 서비스의 출현으로 중소기업은 엄청난 선행 투자 없이 AI를 활용한 데이터 변환 도구에 액세스할 수 있습니다.

업계별 전망

업계를 기반으로 시장은 BFSI, 정부 및 공공 부문, 에너지 및 유틸리티, 제조, 소매, 건강 관리, IT 및 통신, 기타로 분류됩니다. 정부 및 공공 부문 부문은 2023년 시장에서 11%의 수익 점유율을 획득했습니다. 정부는 엄청난 양의 인구 조사 데이터, 세금 기록, 법 집행 데이터베이스, 긴급 대응 시스템을 다루고 있으며, 정확한 분석과 의사 결정을 위해서는 효율적인 데이터 랭글링이 필요합니다. 공공 부문 기관은 스마트 시티 활동, 사이버 보안 모니터링, 부서 간 협업을 지원하기 위해 깨끗하고 통합된 데이터 세트도 필요합니다.

지역별 전망

지역별로 보면 시장은 북미, 유럽, 아시아태평양, 라틴아메리카, 중동 및 아프리카에 걸쳐 분석되고 있습니다. 아시아태평양 부문은 2023년 시장에서 23%의 수익 점유율을 획득했습니다. 중국, 인도, 일본, 한국 등의 국가에서는 AI 주도 분석, 빅데이터 처리, 실시간 비즈니스 인텔리전스가 급증하고 있으며 확장 가능하고 비용 효율적인 데이터 랭글링 솔루션에 대한 수요가 증가하고 있습니다. 이 지역에서는 신흥기업과 중소기업이 늘고 있으며, 클라우드 기반 및 온디맨드 데이터 관리 플랫폼의 채택도 촉진하고 있습니다.

목차

제1장 시장 범위 및 조사 방법

  • 시장의 정의
  • 목적
  • 시장 범위
  • 세분화
  • 조사 방법

제2장 시장 요람

  • 주요 하이라이트

제3장 시장 개요

  • 서문
    • 개요
      • 시장구성 및 시나리오
  • 시장에 영향을 미치는 주요 요인
    • 시장 성장 촉진요인
    • 시장 성장 억제요인
    • 시장 기회
    • 시장의 과제

제4장 경쟁 분석-세계

  • 시장 점유율 분석(2023년)
  • Porter's Five Forces 분석

제5장 세계의 데이터 랭글링 시장 : 전개 모드별

  • 세계의 온프레미스 시장 : 지역별
  • 세계의 클라우드 시장 : 지역별

제6장 세계의 데이터 랭글링 시장 : 컴포넌트별

  • 세계의 솔루션 시장 : 지역별
  • 세계의 서비스 시장 : 지역별
  • 세계의 데이터 랭글링 시장 : 서비스 유형별

제7장 세계의 데이터 랭글링 시장 : 비즈니스 기능별

  • 세계의 영업 및 마케팅 시장 : 지역별
  • 세계의 금융 및 IT 시장 : 지역별
  • 세계의 오퍼레이션 시장 : 지역별
  • 세계의 인재 시장 : 지역별
  • 세계의 기타 비즈니스 기능 시장 : 지역별

제8장 세계의 데이터 랭글링 시장 : 조직 규모별

  • 세계의 대기업 시장 : 지역별
  • 세계의 중소기업 시장 : 지역별

제9장 세계의 데이터 랭글링 시장 : 업계별

  • 세계의 은행/금융서비스/보험(BFSI) 시장 : 지역별
  • 세계의 소매 시장 : 지역별
  • 세계의 헬스케어 시장 : 지역별
  • 세계의 통신 및 IT 시장 : 지역별
  • 세계의 정부 및 공공 부문 시장 : 지역별
  • 세계의 제조 시장 : 지역별
  • 세계의 에너지 및 유틸리티 시장 : 지역별
  • 세계의 기타 산업 시장 : 지역별

제10장 세계의 데이터 랭글링 시장 : 지역별

  • 북미
    • 북미의 데이터 랭글링 시장 : 국가별
      • 미국
      • 캐나다
      • 멕시코
      • 기타 북미
  • 유럽
    • 유럽의 데이터 랭글링 시장 : 국가별
      • 독일
      • 영국
      • 프랑스
      • 러시아
      • 스페인
      • 이탈리아
      • 기타 유럽
  • 아시아태평양
    • 아시아태평양의 데이터 랭글링 시장 : 국가별
      • 중국
      • 일본
      • 인도
      • 한국
      • 호주
      • 말레이시아
      • 기타 아시아태평양
  • 라틴아메리카, 중동 및 아프리카
    • 라틴아메리카, 중동 및 아프리카의 데이터 랭글링 시장 : 국가별
      • 브라질
      • 아르헨티나
      • 아랍에미리트(UAE)
      • 사우디아라비아
      • 남아프리카
      • 나이지리아
      • 기타 라틴아메리카, 중동 및 아프리카

제11장 기업 프로파일

  • ALTAIR ENGINEERING INC
  • Alteryx, Inc
  • Datameer, Inc
  • Hitachi Vantara LLC(Hitachi Ltd)
  • IBM Corporation
  • Impetus Technologies, Inc
  • Oracle Corporation
  • SAS Institute, Inc
  • Tibco Software, Inc(Vista Equity Partners Management, LLC)
  • Teradata Corporation

제12장 데이터 랭글링 시장의 성공 필수 조건

AJY 25.03.06

The Global Data Wrangling Market size is expected to reach $7.60 billion by 2031, rising at a market growth of 13.9% CAGR during the forecast period.

The North America segment witnessed 46% revenue share in the market in 2023. The region has a high concentration of AI-powered analytics firms, cloud service providers, and enterprise software vendors, making it a hub for advanced data wrangling solutions. Additionally, stringent regulatory compliance requirements, such as GDPR-like data privacy laws in the U.S. and Canada, further drive demand for secure and automated data wrangling tools.

In today's digital landscape, businesses and organizations generate vast amounts of data from multiple sources. With the rapid expansion of IoT (Internet of Things) devices, social media platforms, cloud applications, and enterprise systems, data is being produced at an unprecedented rate. This data explosion is characterized by structured (e.g., databases, spreadsheets) and unstructured formats (e.g., images, videos, logs, emails), making managing it increasingly complex. Hence, the growing complexity and volume of data propel the widespread adoption of advanced data wrangling platforms.

Additionally, The increasing reliance on Artificial Intelligence (AI) and Machine Learning (ML) across industries has amplified the need for high-quality, structured data. This plays a vital role in enhancing the efficiency and accuracy of AI models. Poorly prepared data can introduce biases, errors, and inaccuracies, leading to unreliable model predictions. Thus, with AI continuously evolving, the demand for intelligent, self-learning data wrangling tools is expected to grow, further propelling this market.

However, The implementation of data wrangling solutions comes with substantial financial challenges, as organizations must invest heavily in advanced software, IT infrastructure, and skilled professionals. These solutions often incorporate AI-driven automation, machine learning algorithms, and cloud-based processing, all of which require significant upfront costs. Hence, these factors may hamper the growth of the market.

Deployment Mode Outlook

On the basis of deployment mode, the market is classified into cloud and on-premise. The cloud segment acquired 37% revenue share in the market in 2023. Businesses seeking to modernize their data analytics capabilities leverage cloud-based wrangling platforms for automated data processing, AI-driven transformations, and seamless multi-cloud integrations. The rising demand for real-time analytics, remote accessibility, and global collaboration further drives cloud adoption, as companies can efficiently process and manage data from multiple sources without heavy infrastructure investments.

Component Outlook

Based on component, the market is bifurcated into solution and services. The services segment recorded 28% revenue share in the market in 2023. Many organizations, especially SMEs and enterprises with legacy infrastructure, lack the in-house expertise to effectively manage complex data transformation, migration, and compliance processes. As a result, they rely on third-party service providers to handle tasks such as data cleansing, deduplication, enrichment, and validation, ensuring data is accurate, consistent, and analytics-ready.

Business Function Outlook

On the basis of business function, the market is divided into finance & IT, sales & marketing, human resource, operations, and others. The finance & IT segment garnered 28% revenue share in the market in 2023. Financial institutions, including banks, insurance firms, and investment companies, process vast amounts of transactional, market, and customer data that must be cleaned, structured, and integrated for accurate analysis. Regulations like Basel III, IFRS, and SOX compliance mandate strict data governance and audit trails, necessitating efficient data wrangling solutions.

Organization Size Outlook

By organization size, the market is divided into small & medium enterprises and large enterprises. The small & medium enterprises segment witnessed 25% revenue share in the market in 2023. Small & medium enterprises (SMEs) often have limited IT budgets and in-house data expertise, making them reliant on affordable and easy-to-use data wrangling solutions. The rise of subscription-based SaaS models and on-demand data processing services has allowed SMEs to access AI-powered data transformation tools without significant upfront investments.

Vertical Outlook

Based on vertical, the market is segmented into BFSI, government & public sector, energy & utilities, manufacturing, retail, healthcare, IT & telecom, and others. The government & public sector segment procured 11% revenue share in the market in 2023. Governments handle vast amounts of census data, tax records, law enforcement databases, and emergency response systems, necessitating efficient data wrangling for accurate analysis and decision-making. Public sector agencies also require clean and integrated datasets to support smart city initiatives, cybersecurity monitoring, and interdepartmental collaboration.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The Asia Pacific segment garnered 23% revenue share in the market in 2023. Countries like China, India, Japan, and South Korea are experiencing a surge in AI-driven analytics, big data processing, and real-time business intelligence, fueling demand for scalable and cost-effective data wrangling solutions. The increasing prevalence of startups and small to medium-sized enterprises in the region is also propelling the adoption of cloud-based and on-demand data management platforms.

List of Key Companies Profiled

  • Altair Engineering Inc.
  • Alteryx, Inc.
  • Datameer, Inc.
  • Hitachi Vantara LLC (Hitachi Ltd.)
  • IBM Corporation
  • Impetus Technologies, Inc.
  • Oracle Corporation
  • SAS Institute Inc.
  • TIBCO Software, Inc. (Vista Equity Partners Management, LLC)
  • Teradata Corporation

Global Data Wrangling Market Report Segmentation

By Deployment Mode

  • On-premise
  • Cloud

By Component

  • Solution
  • Services
    • Professional Services
    • Managed Services

By Business Function

  • Sales & Marketing
  • Finance & IT
  • Operations
  • Human Resource
  • Other Business Function

By Organization Size

  • Large Enterprises
  • Small & Medium Enterprises

By Vertical

  • BFSI
  • Retail
  • Healthcare
  • Telecom & IT
  • Government & Public Sector
  • Manufacturing
  • Energy & Utilities
  • Other Vertical

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
    • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

  • 1.1 Market Definition
  • 1.2 Objectives
  • 1.3 Market Scope
  • 1.4 Segmentation
    • 1.4.1 Global Data Wrangling Market, by Deployment Mode
    • 1.4.2 Global Data Wrangling Market, by Component
    • 1.4.3 Global Data Wrangling Market, by Business Function
    • 1.4.4 Global Data Wrangling Market, by Organization Size
    • 1.4.5 Global Data Wrangling Market, by Vertical
    • 1.4.6 Global Data Wrangling Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market at a Glance

  • 2.1 Key Highlights

Chapter 3. Market Overview

  • 3.1 Introduction
    • 3.1.1 Overview
      • 3.1.1.1 Market Composition and Scenario
  • 3.2 Key Factors Impacting the Market
    • 3.2.1 Market Drivers
    • 3.2.2 Market Restraints
    • 3.2.3 Market Opportunities
    • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

  • 4.1 Market Share Analysis, 2023
  • 4.2 Porter Five Forces Analysis

Chapter 5. Global Data Wrangling Market by Deployment Mode

  • 5.1 Global On-premise Market by Region
  • 5.2 Global Cloud Market by Region

Chapter 6. Global Data Wrangling Market by Component

  • 6.1 Global Solution Market by Region
  • 6.2 Global Services Market by Region
  • 6.3 Global Data Wrangling Market by Services Type
    • 6.3.1 Global Professional Services Market by Region
    • 6.3.2 Global Managed Services Market by Region

Chapter 7. Global Data Wrangling Market by Business Function

  • 7.1 Global Sales & Marketing Market by Region
  • 7.2 Global Finance & IT Market by Region
  • 7.3 Global Operations Market by Region
  • 7.4 Global Human Resource Market by Region
  • 7.5 Global Other Business Function Market by Region

Chapter 8. Global Data Wrangling Market by Organization Size

  • 8.1 Global Large Enterprises Market by Region
  • 8.2 Global Small & Medium Enterprises Market by Region

Chapter 9. Global Data Wrangling Market by Vertical

  • 9.1 Global BFSI Market by Region
  • 9.2 Global Retail Market by Region
  • 9.3 Global Healthcare Market by Region
  • 9.4 Global Telecom & IT Market by Region
  • 9.5 Global Government & Public Sector Market by Region
  • 9.6 Global Manufacturing Market by Region
  • 9.7 Global Energy & Utilities Market by Region
  • 9.8 Global Other Vertical Market by Region

Chapter 10. Global Data Wrangling Market by Region

  • 10.1 North America Data Wrangling Market
    • 10.1.1 North America Data Wrangling Market by Deployment Mode
      • 10.1.1.1 North America On-premise Market by Region
      • 10.1.1.2 North America Cloud Market by Region
    • 10.1.2 North America Data Wrangling Market by Component
      • 10.1.2.1 North America Solution Market by Country
      • 10.1.2.2 North America Services Market by Country
      • 10.1.2.3 North America Data Wrangling Market by Services Type
        • 10.1.2.3.1 North America Professional Services Market by Country
        • 10.1.2.3.2 North America Managed Services Market by Country
    • 10.1.3 North America Data Wrangling Market by Business Function
      • 10.1.3.1 North America Sales & Marketing Market by Country
      • 10.1.3.2 North America Finance & IT Market by Country
      • 10.1.3.3 North America Operations Market by Country
      • 10.1.3.4 North America Human Resource Market by Country
      • 10.1.3.5 North America Other Business Function Market by Country
    • 10.1.4 North America Data Wrangling Market by Organization Size
      • 10.1.4.1 North America Large Enterprises Market by Country
      • 10.1.4.2 North America Small & Medium Enterprises Market by Country
    • 10.1.5 North America Data Wrangling Market by Vertical
      • 10.1.5.1 North America BFSI Market by Country
      • 10.1.5.2 North America Retail Market by Country
      • 10.1.5.3 North America Healthcare Market by Country
      • 10.1.5.4 North America Telecom & IT Market by Country
      • 10.1.5.5 North America Government & Public Sector Market by Country
      • 10.1.5.6 North America Manufacturing Market by Country
      • 10.1.5.7 North America Energy & Utilities Market by Country
      • 10.1.5.8 North America Other Vertical Market by Country
    • 10.1.6 North America Data Wrangling Market by Country
      • 10.1.6.1 US Data Wrangling Market
        • 10.1.6.1.1 US Data Wrangling Market by Deployment Mode
        • 10.1.6.1.2 US Data Wrangling Market by Component
          • 10.1.6.1.2.1 US Data Wrangling Market by Services Type
        • 10.1.6.1.3 US Data Wrangling Market by Business Function
        • 10.1.6.1.4 US Data Wrangling Market by Organization Size
        • 10.1.6.1.5 US Data Wrangling Market by Vertical
      • 10.1.6.2 Canada Data Wrangling Market
        • 10.1.6.2.1 Canada Data Wrangling Market by Deployment Mode
        • 10.1.6.2.2 Canada Data Wrangling Market by Component
          • 10.1.6.2.2.1 Canada Data Wrangling Market by Services Type
        • 10.1.6.2.3 Canada Data Wrangling Market by Business Function
        • 10.1.6.2.4 Canada Data Wrangling Market by Organization Size
        • 10.1.6.2.5 Canada Data Wrangling Market by Vertical
      • 10.1.6.3 Mexico Data Wrangling Market
        • 10.1.6.3.1 Mexico Data Wrangling Market by Deployment Mode
        • 10.1.6.3.2 Mexico Data Wrangling Market by Component
          • 10.1.6.3.2.1 Mexico Data Wrangling Market by Services Type
        • 10.1.6.3.3 Mexico Data Wrangling Market by Business Function
        • 10.1.6.3.4 Mexico Data Wrangling Market by Organization Size
        • 10.1.6.3.5 Mexico Data Wrangling Market by Vertical
      • 10.1.6.4 Rest of North America Data Wrangling Market
        • 10.1.6.4.1 Rest of North America Data Wrangling Market by Deployment Mode
        • 10.1.6.4.2 Rest of North America Data Wrangling Market by Component
          • 10.1.6.4.2.1 Rest of North America Data Wrangling Market by Services Type
        • 10.1.6.4.3 Rest of North America Data Wrangling Market by Business Function
        • 10.1.6.4.4 Rest of North America Data Wrangling Market by Organization Size
        • 10.1.6.4.5 Rest of North America Data Wrangling Market by Vertical
  • 10.2 Europe Data Wrangling Market
    • 10.2.1 Europe Data Wrangling Market by Deployment Mode
      • 10.2.1.1 Europe On-premise Market by Country
      • 10.2.1.2 Europe Cloud Market by Country
    • 10.2.2 Europe Data Wrangling Market by Component
      • 10.2.2.1 Europe Solution Market by Country
      • 10.2.2.2 Europe Services Market by Country
      • 10.2.2.3 Europe Data Wrangling Market by Services Type
        • 10.2.2.3.1 Europe Professional Services Market by Country
        • 10.2.2.3.2 Europe Managed Services Market by Country
    • 10.2.3 Europe Data Wrangling Market by Business Function
      • 10.2.3.1 Europe Sales & Marketing Market by Country
      • 10.2.3.2 Europe Finance & IT Market by Country
      • 10.2.3.3 Europe Operations Market by Country
      • 10.2.3.4 Europe Human Resource Market by Country
      • 10.2.3.5 Europe Other Business Function Market by Country
    • 10.2.4 Europe Data Wrangling Market by Organization Size
      • 10.2.4.1 Europe Large Enterprises Market by Country
      • 10.2.4.2 Europe Small & Medium Enterprises Market by Country
    • 10.2.5 Europe Data Wrangling Market by Vertical
      • 10.2.5.1 Europe BFSI Market by Country
      • 10.2.5.2 Europe Retail Market by Country
      • 10.2.5.3 Europe Healthcare Market by Country
      • 10.2.5.4 Europe Telecom & IT Market by Country
      • 10.2.5.5 Europe Government & Public Sector Market by Country
      • 10.2.5.6 Europe Manufacturing Market by Country
      • 10.2.5.7 Europe Energy & Utilities Market by Country
      • 10.2.5.8 Europe Other Vertical Market by Country
    • 10.2.6 Europe Data Wrangling Market by Country
      • 10.2.6.1 Germany Data Wrangling Market
        • 10.2.6.1.1 Germany Data Wrangling Market by Deployment Mode
        • 10.2.6.1.2 Germany Data Wrangling Market by Component
          • 10.2.6.1.2.1 Germany Data Wrangling Market by Services Type
        • 10.2.6.1.3 Germany Data Wrangling Market by Business Function
        • 10.2.6.1.4 Germany Data Wrangling Market by Organization Size
        • 10.2.6.1.5 Germany Data Wrangling Market by Vertical
      • 10.2.6.2 UK Data Wrangling Market
        • 10.2.6.2.1 UK Data Wrangling Market by Deployment Mode
        • 10.2.6.2.2 UK Data Wrangling Market by Component
          • 10.2.6.2.2.1 UK Data Wrangling Market by Services Type
        • 10.2.6.2.3 UK Data Wrangling Market by Business Function
        • 10.2.6.2.4 UK Data Wrangling Market by Organization Size
        • 10.2.6.2.5 UK Data Wrangling Market by Vertical
      • 10.2.6.3 France Data Wrangling Market
        • 10.2.6.3.1 France Data Wrangling Market by Deployment Mode
        • 10.2.6.3.2 France Data Wrangling Market by Component
          • 10.2.6.3.2.1 France Data Wrangling Market by Services Type
        • 10.2.6.3.3 France Data Wrangling Market by Business Function
        • 10.2.6.3.4 France Data Wrangling Market by Organization Size
        • 10.2.6.3.5 France Data Wrangling Market by Vertical
      • 10.2.6.4 Russia Data Wrangling Market
        • 10.2.6.4.1 Russia Data Wrangling Market by Deployment Mode
        • 10.2.6.4.2 Russia Data Wrangling Market by Component
          • 10.2.6.4.2.1 Russia Data Wrangling Market by Services Type
        • 10.2.6.4.3 Russia Data Wrangling Market by Business Function
        • 10.2.6.4.4 Russia Data Wrangling Market by Organization Size
        • 10.2.6.4.5 Russia Data Wrangling Market by Vertical
      • 10.2.6.5 Spain Data Wrangling Market
        • 10.2.6.5.1 Spain Data Wrangling Market by Deployment Mode
        • 10.2.6.5.2 Spain Data Wrangling Market by Component
          • 10.2.6.5.2.1 Spain Data Wrangling Market by Services Type
        • 10.2.6.5.3 Spain Data Wrangling Market by Business Function
        • 10.2.6.5.4 Spain Data Wrangling Market by Organization Size
        • 10.2.6.5.5 Spain Data Wrangling Market by Vertical
      • 10.2.6.6 Italy Data Wrangling Market
        • 10.2.6.6.1 Italy Data Wrangling Market by Deployment Mode
        • 10.2.6.6.2 Italy Data Wrangling Market by Component
          • 10.2.6.6.2.1 Italy Data Wrangling Market by Services Type
        • 10.2.6.6.3 Italy Data Wrangling Market by Business Function
        • 10.2.6.6.4 Italy Data Wrangling Market by Organization Size
        • 10.2.6.6.5 Italy Data Wrangling Market by Vertical
      • 10.2.6.7 Rest of Europe Data Wrangling Market
        • 10.2.6.7.1 Rest of Europe Data Wrangling Market by Deployment Mode
        • 10.2.6.7.2 Rest of Europe Data Wrangling Market by Component
          • 10.2.6.7.2.1 Rest of Europe Data Wrangling Market by Services Type
        • 10.2.6.7.3 Rest of Europe Data Wrangling Market by Business Function
        • 10.2.6.7.4 Rest of Europe Data Wrangling Market by Organization Size
        • 10.2.6.7.5 Rest of Europe Data Wrangling Market by Vertical
  • 10.3 Asia Pacific Data Wrangling Market
    • 10.3.1 Asia Pacific Data Wrangling Market by Deployment Mode
      • 10.3.1.1 Asia Pacific On-premise Market by Country
      • 10.3.1.2 Asia Pacific Cloud Market by Country
    • 10.3.2 Asia Pacific Data Wrangling Market by Component
      • 10.3.2.1 Asia Pacific Solution Market by Country
      • 10.3.2.2 Asia Pacific Services Market by Country
      • 10.3.2.3 Asia Pacific Data Wrangling Market by Services Type
        • 10.3.2.3.1 Asia Pacific Professional Services Market by Country
        • 10.3.2.3.2 Asia Pacific Managed Services Market by Country
    • 10.3.3 Asia Pacific Data Wrangling Market by Business Function
      • 10.3.3.1 Asia Pacific Sales & Marketing Market by Country
      • 10.3.3.2 Asia Pacific Finance & IT Market by Country
      • 10.3.3.3 Asia Pacific Operations Market by Country
      • 10.3.3.4 Asia Pacific Human Resource Market by Country
      • 10.3.3.5 Asia Pacific Other Business Function Market by Country
    • 10.3.4 Asia Pacific Data Wrangling Market by Organization Size
      • 10.3.4.1 Asia Pacific Large Enterprises Market by Country
      • 10.3.4.2 Asia Pacific Small & Medium Enterprises Market by Country
    • 10.3.5 Asia Pacific Data Wrangling Market by Vertical
      • 10.3.5.1 Asia Pacific BFSI Market by Country
      • 10.3.5.2 Asia Pacific Retail Market by Country
      • 10.3.5.3 Asia Pacific Healthcare Market by Country
      • 10.3.5.4 Asia Pacific Telecom & IT Market by Country
      • 10.3.5.5 Asia Pacific Government & Public Sector Market by Country
      • 10.3.5.6 Asia Pacific Manufacturing Market by Country
      • 10.3.5.7 Asia Pacific Energy & Utilities Market by Country
      • 10.3.5.8 Asia Pacific Other Vertical Market by Country
    • 10.3.6 Asia Pacific Data Wrangling Market by Country
      • 10.3.6.1 China Data Wrangling Market
        • 10.3.6.1.1 China Data Wrangling Market by Deployment Mode
        • 10.3.6.1.2 China Data Wrangling Market by Component
          • 10.3.6.1.2.1 China Data Wrangling Market by Services Type
        • 10.3.6.1.3 China Data Wrangling Market by Business Function
        • 10.3.6.1.4 China Data Wrangling Market by Organization Size
        • 10.3.6.1.5 China Data Wrangling Market by Vertical
      • 10.3.6.2 Japan Data Wrangling Market
        • 10.3.6.2.1 Japan Data Wrangling Market by Deployment Mode
        • 10.3.6.2.2 Japan Data Wrangling Market by Component
          • 10.3.6.2.2.1 Japan Data Wrangling Market by Services Type
        • 10.3.6.2.3 Japan Data Wrangling Market by Business Function
        • 10.3.6.2.4 Japan Data Wrangling Market by Organization Size
        • 10.3.6.2.5 Japan Data Wrangling Market by Vertical
      • 10.3.6.3 India Data Wrangling Market
        • 10.3.6.3.1 India Data Wrangling Market by Deployment Mode
        • 10.3.6.3.2 India Data Wrangling Market by Component
          • 10.3.6.3.2.1 India Data Wrangling Market by Services Type
        • 10.3.6.3.3 India Data Wrangling Market by Business Function
        • 10.3.6.3.4 India Data Wrangling Market by Organization Size
        • 10.3.6.3.5 India Data Wrangling Market by Vertical
      • 10.3.6.4 South Korea Data Wrangling Market
        • 10.3.6.4.1 South Korea Data Wrangling Market by Deployment Mode
        • 10.3.6.4.2 South Korea Data Wrangling Market by Component
          • 10.3.6.4.2.1 South Korea Data Wrangling Market by Services Type
        • 10.3.6.4.3 South Korea Data Wrangling Market by Business Function
        • 10.3.6.4.4 South Korea Data Wrangling Market by Organization Size
        • 10.3.6.4.5 South Korea Data Wrangling Market by Vertical
      • 10.3.6.5 Australia Data Wrangling Market
        • 10.3.6.5.1 Australia Data Wrangling Market by Deployment Mode
        • 10.3.6.5.2 Australia Data Wrangling Market by Component
          • 10.3.6.5.2.1 Australia Data Wrangling Market by Services Type
        • 10.3.6.5.3 Australia Data Wrangling Market by Business Function
        • 10.3.6.5.4 Australia Data Wrangling Market by Organization Size
        • 10.3.6.5.5 Australia Data Wrangling Market by Vertical
      • 10.3.6.6 Malaysia Data Wrangling Market
        • 10.3.6.6.1 Malaysia Data Wrangling Market by Deployment Mode
        • 10.3.6.6.2 Malaysia Data Wrangling Market by Component
          • 10.3.6.6.2.1 Malaysia Data Wrangling Market by Services Type
        • 10.3.6.6.3 Malaysia Data Wrangling Market by Business Function
        • 10.3.6.6.4 Malaysia Data Wrangling Market by Organization Size
        • 10.3.6.6.5 Malaysia Data Wrangling Market by Vertical
      • 10.3.6.7 Rest of Asia Pacific Data Wrangling Market
        • 10.3.6.7.1 Rest of Asia Pacific Data Wrangling Market by Deployment Mode
        • 10.3.6.7.2 Rest of Asia Pacific Data Wrangling Market by Component
          • 10.3.6.7.2.1 Rest of Asia Pacific Data Wrangling Market by Services Type
        • 10.3.6.7.3 Rest of Asia Pacific Data Wrangling Market by Business Function
        • 10.3.6.7.4 Rest of Asia Pacific Data Wrangling Market by Organization Size
        • 10.3.6.7.5 Rest of Asia Pacific Data Wrangling Market by Vertical
  • 10.4 LAMEA Data Wrangling Market
    • 10.4.1 LAMEA Data Wrangling Market by Deployment Mode
      • 10.4.1.1 LAMEA On-premise Market by Country
      • 10.4.1.2 LAMEA Cloud Market by Country
    • 10.4.2 LAMEA Data Wrangling Market by Component
      • 10.4.2.1 LAMEA Solution Market by Country
      • 10.4.2.2 LAMEA Services Market by Country
      • 10.4.2.3 LAMEA Data Wrangling Market by Services Type
        • 10.4.2.3.1 LAMEA Professional Services Market by Country
        • 10.4.2.3.2 LAMEA Managed Services Market by Country
    • 10.4.3 LAMEA Data Wrangling Market by Business Function
      • 10.4.3.1 LAMEA Sales & Marketing Market by Country
      • 10.4.3.2 LAMEA Finance & IT Market by Country
      • 10.4.3.3 LAMEA Operations Market by Country
      • 10.4.3.4 LAMEA Human Resource Market by Country
      • 10.4.3.5 LAMEA Other Business Function Market by Country
    • 10.4.4 LAMEA Data Wrangling Market by Organization Size
      • 10.4.4.1 LAMEA Large Enterprises Market by Country
      • 10.4.4.2 LAMEA Small & Medium Enterprises Market by Country
    • 10.4.5 LAMEA Data Wrangling Market by Vertical
      • 10.4.5.1 LAMEA BFSI Market by Country
      • 10.4.5.2 LAMEA Retail Market by Country
      • 10.4.5.3 LAMEA Healthcare Market by Country
      • 10.4.5.4 LAMEA Telecom & IT Market by Country
      • 10.4.5.5 LAMEA Government & Public Sector Market by Country
      • 10.4.5.6 LAMEA Manufacturing Market by Country
      • 10.4.5.7 LAMEA Energy & Utilities Market by Country
      • 10.4.5.8 LAMEA Other Vertical Market by Country
    • 10.4.6 LAMEA Data Wrangling Market by Country
      • 10.4.6.1 Brazil Data Wrangling Market
        • 10.4.6.1.1 Brazil Data Wrangling Market by Deployment Mode
        • 10.4.6.1.2 Brazil Data Wrangling Market by Component
          • 10.4.6.1.2.1 Brazil Data Wrangling Market by Services Type
        • 10.4.6.1.3 Brazil Data Wrangling Market by Business Function
        • 10.4.6.1.4 Brazil Data Wrangling Market by Organization Size
        • 10.4.6.1.5 Brazil Data Wrangling Market by Vertical
      • 10.4.6.2 Argentina Data Wrangling Market
        • 10.4.6.2.1 Argentina Data Wrangling Market by Deployment Mode
        • 10.4.6.2.2 Argentina Data Wrangling Market by Component
          • 10.4.6.2.2.1 Argentina Data Wrangling Market by Services Type
        • 10.4.6.2.3 Argentina Data Wrangling Market by Business Function
        • 10.4.6.2.4 Argentina Data Wrangling Market by Organization Size
        • 10.4.6.2.5 Argentina Data Wrangling Market by Vertical
      • 10.4.6.3 UAE Data Wrangling Market
        • 10.4.6.3.1 UAE Data Wrangling Market by Deployment Mode
        • 10.4.6.3.2 UAE Data Wrangling Market by Component
          • 10.4.6.3.2.1 UAE Data Wrangling Market by Services Type
        • 10.4.6.3.3 UAE Data Wrangling Market by Business Function
        • 10.4.6.3.4 UAE Data Wrangling Market by Organization Size
        • 10.4.6.3.5 UAE Data Wrangling Market by Vertical
      • 10.4.6.4 Saudi Arabia Data Wrangling Market
        • 10.4.6.4.1 Saudi Arabia Data Wrangling Market by Deployment Mode
        • 10.4.6.4.2 Saudi Arabia Data Wrangling Market by Component
          • 10.4.6.4.2.1 Saudi Arabia Data Wrangling Market by Services Type
        • 10.4.6.4.3 Saudi Arabia Data Wrangling Market by Business Function
        • 10.4.6.4.4 Saudi Arabia Data Wrangling Market by Organization Size
        • 10.4.6.4.5 Saudi Arabia Data Wrangling Market by Vertical
      • 10.4.6.5 South Africa Data Wrangling Market
        • 10.4.6.5.1 South Africa Data Wrangling Market by Deployment Mode
        • 10.4.6.5.2 South Africa Data Wrangling Market by Component
          • 10.4.6.5.2.1 South Africa Data Wrangling Market by Services Type
        • 10.4.6.5.3 South Africa Data Wrangling Market by Business Function
        • 10.4.6.5.4 South Africa Data Wrangling Market by Organization Size
        • 10.4.6.5.5 South Africa Data Wrangling Market by Vertical
      • 10.4.6.6 Nigeria Data Wrangling Market
        • 10.4.6.6.1 Nigeria Data Wrangling Market by Deployment Mode
        • 10.4.6.6.2 Nigeria Data Wrangling Market by Component
          • 10.4.6.6.2.1 Nigeria Data Wrangling Market by Services Type
        • 10.4.6.6.3 Nigeria Data Wrangling Market by Business Function
        • 10.4.6.6.4 Nigeria Data Wrangling Market by Organization Size
        • 10.4.6.6.5 Nigeria Data Wrangling Market by Vertical
      • 10.4.6.7 Rest of LAMEA Data Wrangling Market
        • 10.4.6.7.1 Rest of LAMEA Data Wrangling Market by Deployment Mode
        • 10.4.6.7.2 Rest of LAMEA Data Wrangling Market by Component
          • 10.4.6.7.2.1 Rest of LAMEA Data Wrangling Market by Services Type
        • 10.4.6.7.3 Rest of LAMEA Data Wrangling Market by Business Function
        • 10.4.6.7.4 Rest of LAMEA Data Wrangling Market by Organization Size
        • 10.4.6.7.5 Rest of LAMEA Data Wrangling Market by Vertical

Chapter 11. Company Profiles

  • 11.1 ALTAIR ENGINEERING INC.
    • 11.1.1 Company Overview
    • 11.1.2 Financial Analysis
    • 11.1.3 Segmental and Regional Analysis
    • 11.1.4 Research & Development Expenses
  • 11.2 Alteryx, Inc.
    • 11.2.1 Company Overview
    • 11.2.2 Financial Analysis
    • 11.2.3 Research & Development Expenses
    • 11.2.4 Recent strategies and developments:
      • 11.2.4.1 Product Launches and Product Expansions:
    • 11.2.5 SWOT Analysis
  • 11.3 Datameer, Inc.
    • 11.3.1 Company Overview
  • 11.4 Hitachi Vantara LLC (Hitachi Ltd.)
    • 11.4.1 Company Overview
    • 11.4.2 Financial Analysis
    • 11.4.3 Segmental and Regional Analysis
    • 11.4.4 Research & Development Expenses
    • 11.4.5 SWOT Analysis
  • 11.5 IBM Corporation
    • 11.5.1 Company Overview
    • 11.5.2 Financial Analysis
    • 11.5.3 Regional & Segmental Analysis
    • 11.5.4 Research & Development Expenses
    • 11.5.5 SWOT Analysis
  • 11.6 Impetus Technologies, Inc.
    • 11.6.1 Company Overview
  • 11.7 Oracle Corporation
    • 11.7.1 Company Overview
    • 11.7.2 Financial Analysis
    • 11.7.3 Segmental and Regional Analysis
    • 11.7.4 Research & Development Expense
    • 11.7.5 Recent strategies and developments:
      • 11.7.5.1 Product Launches and Product Expansions:
    • 11.7.6 SWOT Analysis
  • 11.8 SAS Institute, Inc.
    • 11.8.1 Company Overview
    • 11.8.2 SWOT Analysis
  • 11.9 Tibco Software, Inc. (Vista Equity Partners Management, LLC)
    • 11.9.1 Company Overview
    • 11.9.2 SWOT Analysis
  • 11.10. Teradata Corporation
    • 11.10.1 Company Overview
    • 11.10.2 Financial Analysis
    • 11.10.3 Regional Analysis
    • 11.10.4 Research & Development Expenses
    • 11.10.5 SWOT Analysis

Chapter 12. Winning Imperatives of Data Wrangling Market

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