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
상품코드:1645313
리서치사:KBV Research
발행일:2025년 01월
페이지 정보:영문 364 Pages
라이선스 & 가격 (부가세 별도)
한글목차
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.
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
