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시장보고서
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1348770

데이터 랭글링 시장 - 세계 산업 규모, 점유율, 동향, 기회, 예측(2018-2028년)

Data Wrangling Market-Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028 Segmented By Component, By Deployment Model, By Enterprise Model, By End User By Region
발행일: | 리서치사: TechSci Research | 페이지 정보: 영문 182 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.

세계 데이터 랭글링 시장은 데이터 랭글링 제공업체의 SaaS(Software as a Service)와 같은 웹 기반 서비스에 대한 수요가 증가함에 따라 2024년부터 2028년까지 견고한 성장할 것으로 예상됩니다.

데이터 정리, 클렌징, 수정, 관리라고도 하는 데이터 랭글링은 데이터 인사이트를 이해하고 활용하는 데 있어 가장 중요한 첫 번째 단계입니다. 데이터 소스에 연결하고, 일관성을 보장하기 위해 정보를 다시 포맷하고, 중복을 제거하고, 이종 소스를 통합하고, 방대한 데이터 세트에서 불필요한 '노이즈'를 필터링하는 것이 모두 이 과정의 일부입니다.

데이터 분석팀은 머신러닝 워크플로우, 보고서 작성 및 기타 관련 업무에 사용하기 위해 데이터를 정리하고 준비하는 데 50-80%의 시간을 할애하는 경우가 많습니다. 데이터 랭글링 또는 데이터 매핑은 기본적으로 원시 데이터의 형태에서 다른 구성으로 정보를 변경하고 매핑하는 과정으로, 그 목적은 정보를 분석과 같은 다양한 다운스트림 목적에 더 적합하고 중요하게 만드는 데 영향을 미치는 것입니다.

시장 개요
예측 기간 2024-2028
2022년 시장 규모 27억 5,000만 달러
2028년 시장 규모 49억 4,000만 달러
CAGR 9.81%
급성장 부문 클라우드
최대 시장 북미

셀프 서비스 데이터 준비 모델

셀프 서비스 데이터 준비 패러다임은 데이터 랭글링 산업의 성장을 촉진하는 주요 요인 중 하나입니다. 이 방법을 통해 기업은 데이터 과학자를 통하지 않고도 데이터 세트를 정리할 수 있습니다. 이 요소는 조직의 리더가 IT 담당자의 개입 없이도 비지니스 인사이트를 도출할 수 있게 해줍니다. 또한, 각 산업에서 빅데이터의 관련성, 인공지능 및 머신러닝 기술과 데이터 랭글링 도구의 통합이 세계 데이터 랭글링 시장을 견인할 것으로 예상됩니다. 이는 모든 산업에서 데이터 랭글링의 사용 증가에 기여하고 있으며, 예측 기간 동안 시장 성장을 촉진할 것으로 보입니다.

BYOD(Bring Your Own Device) 트렌드에 따른 시장 활성화

Bring Your Own Device(BYOD)와 비지니스 모빌리티 트렌드는 데이터 관리 산업의 성장을 촉진하는 중요한 촉진요인으로 부상할 것으로 예상됩니다. 또한, 데이터 속도와 양, AI 및 MI 기술의 기술적 혁신은 데이터 관리 산업의 성장을 촉진하는 요인으로 작용할 것으로 보입니다. 그러나 데이터 품질에 대한 어려움은 이 분야의 성장 제약 요인으로 작용할 것입니다. 예측 기간 동안 BYOD는 세계 데이터 랭글링 시장의 성장을 촉진하고 있습니다.

사용 가능한 커스터마이징

TechSci Research는 기업의 고유한 요구에 따라 맞춤형으로 제공됩니다. 보고서에서 다음과 같은 커스터마이징이 가능합니다.

회사 소개

  • 추가 시장 진입 기업(최대 5개사)에 대한 심층 분석 및 프로파일링

목차

제1장 서비스 개요

제2장 조사 방법

제3장 COVID-19가 세계의 데이터 랭글링 시장에 미치는 영향

제4장 주요 요약

제5장 고객의 소리

제6장 데이터 랭글링 세계 시장 전망

  • 시장 규모와 예측
    • 금액별
  • 시장 점유율과 예측
    • 컴포넌트별(툴, 서비스)
    • 도입 모델별(클라우드, 온프레미스)
    • 기업 모델별(중소기업, 대기업)
    • 최종사용자별(IT·통신, 소매, BFSI)
    • 지역별
  • 기업별
  • 시장 맵

제7장 북미 데이터 랭글링 시장 전망

  • 시장 규모와 예측
    • 금액별
  • 시장 점유율과 예측
    • 컴포넌트별
    • 전개 모델별
    • 기업 모델별
    • 최종사용자별
    • 국가별
  • 북미 국가별 분석
    • 미국
    • 캐나다
    • 멕시코

제8장 아시아태평양 데이터 랭글링 시장 전망

  • 시장 규모와 예측
    • 금액별
  • 시장 점유율과 예측
    • 컴포넌트별
    • 전개 모델별
    • 최종사용자별
    • 국가별
  • 아시아태평양 국가별 분석
    • 중국
    • 인도
    • 일본
    • 한국
    • 호주
    • 싱가포르
    • 말레이시아

제9장 유럽 데이터 랭글링 시장 전망

  • 시장 규모와 예측
    • 금액별
  • 시장 점유율과 예측
    • 컴포넌트별
    • 전개 모델별
    • 기업 모델별
    • 최종사용자별
  • 유럽 국가별 분석
    • 독일
    • 영국
    • 프랑스
    • 러시아
    • 스위스
    • 벨기에
    • 이탈리아

제10장 남미 데이터 랭글링 시장 전망

  • 시장 규모와 예측
    • 금액별
  • 시장 점유율과 예측
    • 컴포넌트별
    • 전개 모델별
    • 기업 모델별
    • 최종사용자별
    • 국가별
  • 남미 : 국가별 분석
    • 브라질
    • 아르헨티나
    • 콜롬비아
    • 페루
    • 칠레

제11장 중동 및 아프리카의 데이터 랭글링 시장 전망

  • 시장 규모와 예측
    • 금액별
  • 시장 점유율과 예측
    • 컴포넌트별
    • 전개 모델별
    • 기업 모델별
    • 국가별
  • 중동&아프리카 : 국가별 분석
    • 사우디아라비아
    • 남아프리카공화국
    • 아랍에미리트
    • 이스라엘
    • 터키

제12장 시장 역학

  • 성장 촉진요인
  • 과제

제13장 시장 동향과 발전

제14장 기업 개요

  • Trifacta Software Inc
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • Datawatch Corporation
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • TIBCO Software Inc
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • Teradata Corporation
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • Oracle Corporation
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • SAS Institute Inc
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • Talend SA
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • Alteryx Inc
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • Paxata Inc
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • Hortonworks Inc
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered

제15장 전략적 제안

제16장 조사회사에 대해·면책사항

ksm 23.10.25

Global Data Wrangling Market is anticipated to grow at a robust pace in the forecast period, 2024-2028 owing to an increase in demand for web-based services such as Software as a Service (SaaS) from Data Wrangling providers. Data wrangling, also known as data cleaning, cleansing, remediation, munging, is the first and most critical stage in comprehending and operationalizing data insights. Connecting to data sources, reformatting the information to ensure consistency, eliminating duplicates, integrating dissimilar sources, and filtering out unnecessary "noise" in huge datasets are all part of the process.

Data analytics teams frequently spend 50-80% of their time wrangling data and preparing it for use in machine learning workflows, report production, and other related operations. Data wrangling or data munging is basically the process of changing and mapping information from raw data shape into another configuration with the goal of influencing it and making it more suitable and significant for an assortment of downstream purposes for example, analytics.

The factors such as rising concerns about information loss and theft, the upward trends of Bring Your Own Device (BYOD) and enterprise mobility are expected to emerge as the significant factors accelerating the growth of global data wrangling market. In addition to this, velocity of data and volume of data and technological advancements in AI and MI technologies, will further aggravate the growth of the global data wrangling market. However, issues related to data quality restrain the market.

Market Overview
Forecast Period2024-2028
Market Size 2022USD 2.75 Billion
Market Size 2028USD 4.94 Billion
CAGR (2023-2028)9.81%
Fastest Growing SegmentCloud
Largest MarketNorth America

Self-service data preparation model

The self-service data preparation paradigm is one of the primary drivers driving the data wrangling industry growth. This methodology enables enterprises to clean data sets without involving data scientists. This element has effectively allowed an organization's leaders to derive business insights without the intrusion of IT personnel. Furthermore, the relevance of big data across verticals, as well as the integration of artificial intelligence and machine learning technologies with data wrangling tools, is expected to drive the global data wrangling market forward. This is assisting in the increased usage of data wrangling in all industries, which will drive market growth throughout the forecast period.

Upward trends of Bring Your Own Device (BYOD) propelling the market

Bring Your Own Device (BYOD) and business mobility trends are predicted to emerge as important drivers fueling the growth of the data wrangling industry. Furthermore, the velocity and volume of data, as well as technical breakthroughs in AI and MI technologies, will exacerbate the growth of the data wrangling industry. However, difficulties with data quality act as a growth constraint for the sector. During the forecast period, the BYOD is propelling the growth of Global Data Wrangling Market.

Market Segmentation

Global Data Wrangling is segmented by component, by deployment model, by enterprise model, by end user, by region and competitive landscape. Based on Component, the market is segmented into Tools and Service. Based on Deployment model, the market is segmented into On Cloud and On Premises, Based on Enterprise model, the market is segmented into Small and medium-Sized, and Large. Based on End User, the market is segmented into IT and Telecommunication, Retail, and BFSI.

Market players

Major market players in the global data wrangling market are Trifacta Software Inc, Datawatch Corporation, TIBCO Software Inc, Teradata Corporation, Oracle Corporation, Talend SA, SAS Institute Inc, Alteryx Inc, Paxata Inc, Hortonworks Inc.

Report Scope:

In this report, the Global Data Wrangling Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Data Wrangling Market, By Component:

  • Tools
  • Service

Data Wrangling Market, By Deployment model:

  • On Cloud
  • On Premises

Data Wrangling Market, By Enterprise model:

  • Small and medium-Sized
  • Large

Data Wrangling Market, By End User:

  • IT and Telecommunication
  • Retail
  • BFSI

Data Wrangling Market, By Region:

  • North America
    • United States
    • Canada
    • Mexico
  • Asia-Pacific
    • India
    • China
    • Japan
    • South Korea
    • Australia
    • Singapore
    • Malaysia
  • Europe
    • Germany
    • United Kingdom
    • France
    • Russia
    • Switzerland
    • Belgium
    • Italy
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Peru
    • Chile
  • Middle East Asia & Africa
    • Saudi Arabia
    • South Africa
    • UAE
    • Israel
    • Turkey

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Data Wrangling Market.

Available Customizations

TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Service Overview

2. Research Methodology

3. Impact of COVID-19 on Global Data Wrangling Market

4. Executive Summary

5. Voice of Customers

6. Global Data Wrangling Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component (Tools and Service)
    • 6.2.2. By Deployment model (On Cloud, On Premises)
    • 6.2.3. By Enterprise model (Small-Medium Enterprise, Large)
    • 6.2.4. By End User (IT and Telecommunication, Retail, BFSI)
    • 6.2.5. By Region
  • 6.3. By Company
  • 6.4. Market Map

7. North America Data Wrangling Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Deployment model
    • 7.2.3. By Enterprise model
    • 7.2.4. By End User
    • 7.2.5. By Country
  • 7.3. North America: Country Analysis
    • 7.3.1. United States Data Wrangling Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Component
        • 7.3.1.2.2. By Deployment model
        • 7.3.1.2.3. By Enterprise model
        • 7.3.1.2.4. By End User
    • 7.3.2. Canada Data Wrangling Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Component
        • 7.3.2.2.2. By Deployment model
        • 7.3.2.2.3. By Enterprise model
        • 7.3.2.2.4. By End User
    • 7.3.3. Mexico Data Wrangling Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Component
        • 7.3.3.2.2. By Deployment model
        • 7.3.3.2.3. By Enterprise model
        • 7.3.3.2.4. By End User

8. Asia-Pacific Data Wrangling Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Deployment model
    • 8.2.3. By End User
    • 8.2.4. By Country
  • 8.3. Asia-Pacific: Country Analysis
    • 8.3.1. China Data Wrangling Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Component
        • 8.3.1.2.2. By Deployment model
        • 8.3.1.2.3. By Enterprise model
        • 8.3.1.2.4. By End User
    • 8.3.2. India Data Wrangling Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Component
        • 8.3.2.2.2. By Deployment model
        • 8.3.2.2.3. By Enterprise model
        • 8.3.2.2.4. By End User
    • 8.3.3. Japan Data Wrangling Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Component
        • 8.3.3.2.2. By Deployment model
        • 8.3.3.2.3. By Enterprise model
        • 8.3.3.2.4. By End User
    • 8.3.4. South Korea Data Wrangling Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Component
        • 8.3.4.2.2. By Deployment model
        • 8.3.4.2.3. By Enterprise model
        • 8.3.4.2.4. By End User
    • 8.3.5. Australia Data Wrangling Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Component
        • 8.3.5.2.2. By Deployment model
        • 8.3.5.2.3. By Enterprise model
        • 8.3.5.2.4. By End User
    • 8.3.6. Singapore Data Wrangling Market Outlook
      • 8.3.6.1. Market Size & Forecast
        • 8.3.6.1.1. By Value
      • 8.3.6.2. Market Share & Forecast
        • 8.3.6.2.1. By Component
        • 8.3.6.2.2. By Deployment model
        • 8.3.6.2.3. By Enterprise model
        • 8.3.6.2.4. By End User
    • 8.3.7. Malaysia Data Wrangling Market Outlook
      • 8.3.7.1. Market Size & Forecast
        • 8.3.7.1.1. By Value
      • 8.3.7.2. Market Share & Forecast
        • 8.3.7.2.1. By Component
        • 8.3.7.2.2. By Deployment model
        • 8.3.7.2.3. By Enterprise model
        • 8.3.7.2.4. By End User

9. Europe Data Wrangling Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Deployment model
    • 9.2.3. By Enterprise model
    • 9.2.4. By End User
  • 9.3. Europe: Country Analysis
    • 9.3.1. Germany Data Wrangling Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Component
        • 9.3.1.2.2. By Deployment model
        • 9.3.1.2.3. By Enterprise model
        • 9.3.1.2.4. By End User
    • 9.3.2. United Kingdom Data Wrangling Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Component
        • 9.3.2.2.2. By Deployment model
        • 9.3.2.2.3. By Enterprise model
        • 9.3.2.2.4. By End User
    • 9.3.3. France Data Wrangling Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Component
        • 9.3.3.2.2. By Deployment model
        • 9.3.3.2.3. By Enterprise model
        • 9.3.3.2.4. By End User
    • 9.3.4. Russia Data Wrangling Market Outlook
      • 9.3.4.1. Market Size & Forecast
        • 9.3.4.1.1. By Value
      • 9.3.4.2. Market Share & Forecast
        • 9.3.4.2.1. By Component
        • 9.3.4.2.2. By Deployment model
        • 9.3.4.2.3. By Enterprise model
        • 9.3.4.2.4. By End User
    • 9.3.5. Switzerland Data Wrangling Market Outlook
      • 9.3.5.1. Market Size & Forecast
        • 9.3.5.1.1. By Value
      • 9.3.5.2. Market Share & Forecast
        • 9.3.5.2.1. By Component
        • 9.3.5.2.2. By Deployment model
        • 9.3.5.2.3. By Enterprise model
        • 9.3.5.2.4. By End User
    • 9.3.6. Belgium Data Wrangling Market Outlook
      • 9.3.6.1. Market Size & Forecast
        • 9.3.6.1.1. By Value
      • 9.3.6.2. Market Share & Forecast
        • 9.3.6.2.1. By Component
        • 9.3.6.2.2. By Deployment model
        • 9.3.6.2.3. By Enterprise model
        • 9.3.6.2.4. By End User
    • 9.3.7. Italy Data Wrangling Market Outlook
      • 9.3.7.1. Market Size & Forecast
        • 9.3.7.1.1. By Value
      • 9.3.7.2. Market Share & Forecast
        • 9.3.7.2.1. By Component
        • 9.3.7.2.2. By Deployment model
        • 9.3.7.2.3. By Enterprise model
        • 9.3.7.2.4. By End User

10. South America Data Wrangling Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Deployment model
    • 10.2.3. By Enterprise model
    • 10.2.4. By End User
    • 10.2.5. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Data Wrangling Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Component
        • 10.3.1.2.2. By Deployment model
        • 10.3.1.2.3. By Enterprise model
        • 10.3.1.2.4. By End User
    • 10.3.2. Argentina Data Wrangling Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Component
        • 10.3.2.2.2. By Deployment model
        • 10.3.2.2.3. By Enterprise model
        • 10.3.2.2.4. By End User
    • 10.3.3. Colombia Data Wrangling Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Component
        • 10.3.3.2.2. By Deployment model
        • 10.3.3.2.3. By Enterprise model
        • 10.3.3.2.4. By End User
    • 10.3.4. Peru Data Wrangling Market Outlook
      • 10.3.4.1. Market Size & Forecast
        • 10.3.4.1.1. By Value
      • 10.3.4.2. Market Share & Forecast
        • 10.3.4.2.1. By Component
        • 10.3.4.2.2. By Deployment model
        • 10.3.4.2.3. By Enterprise model
        • 10.3.4.2.4. By End User
    • 10.3.5. Chile Data Wrangling Market Outlook
      • 10.3.5.1. Market Size & Forecast
        • 10.3.5.1.1. By Value
      • 10.3.5.2. Market Share & Forecast
        • 10.3.5.2.1. By Component
        • 10.3.5.2.2. By Deployment model
        • 10.3.5.2.3. By Enterprise model
        • 10.3.5.2.4. By End User

11. Middle East & Africa Data Wrangling Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1. By Value
  • 11.2. Market Share & Forecast
    • 11.2.1. By Component
    • 11.2.2. By Deployment model
    • 11.2.3. By Enterprise model
    • 11.2.4. By Country
  • 11.3. Middle East & Africa: Country Analysis
    • 11.3.1. Saudi Arabia Data Wrangling Market Outlook
      • 11.3.1.1. Market Size & Forecast
        • 11.3.1.1.1. By Value
      • 11.3.1.2. Market Share & Forecast
        • 11.3.1.2.1. By Component
        • 11.3.1.2.2. By Deployment model
        • 11.3.1.2.3. By Enterprise model
        • 11.3.1.2.4. By End User
    • 11.3.2. South Africa Data Wrangling Market Outlook
      • 11.3.2.1. Market Size & Forecast
        • 11.3.2.1.1. By Value
      • 11.3.2.2. Market Share & Forecast
        • 11.3.2.2.1. By Component
        • 11.3.2.2.2. By Deployment model
        • 11.3.2.2.3. By Enterprise model
        • 11.3.2.2.4. By End User
    • 11.3.3. UAE Data Wrangling Market Outlook
      • 11.3.3.1. Market Size & Forecast
        • 11.3.3.1.1. By Value
      • 11.3.3.2. Market Share & Forecast
        • 11.3.3.2.1. By Component
        • 11.3.3.2.2. By Deployment model
        • 11.3.3.2.3. By Enterprise model
        • 11.3.3.2.4. By End User
    • 11.3.4. Israel Data Wrangling Market Outlook
      • 11.3.4.1. Market Size & Forecast
        • 11.3.4.1.1. By Value
      • 11.3.4.2. Market Share & Forecast
        • 11.3.4.2.1. By Component
        • 11.3.4.2.2. By Deployment model
        • 11.3.4.2.3. By Enterprise model
        • 11.3.4.2.4. By End User
    • 11.3.5. Turkey Data Wrangling Market Outlook
      • 11.3.5.1. Market Size & Forecast
        • 11.3.5.1.1. By Value
      • 11.3.5.2. Market Share & Forecast
        • 11.3.5.2.1. By Component
        • 11.3.5.2.2. By Deployment model
        • 11.3.5.2.3. By Enterprise model
        • 11.3.5.2.4. By End User

12. Market Dynamics

  • 12.1. Drivers
  • 12.2. Challenges

13. Market Trends & Developments

14. Company Profiles

  • 14.1. Trifacta Software Inc
    • 14.1.1. Business Overview
    • 14.1.2. Key Revenue and Financials
    • 14.1.3. Recent Developments
    • 14.1.4. Key Personnel
    • 14.1.5. Key Products/Services Offered
  • 14.2. Datawatch Corporation
    • 14.2.1. Business Overview
    • 14.2.2. Key Revenue and Financials
    • 14.2.3. Recent Developments
    • 14.2.4. Key Personnel
    • 14.2.5. Key Products/Services Offered
  • 14.3. TIBCO Software Inc
    • 14.3.1. Business Overview
    • 14.3.2. Key Revenue and Financials
    • 14.3.3. Recent Developments
    • 14.3.4. Key Personnel
    • 14.3.5. Key Products/Services Offered
  • 14.4. Teradata Corporation
    • 14.4.1. Business Overview
    • 14.4.2. Key Revenue and Financials
    • 14.4.3. Recent Developments
    • 14.4.4. Key Personnel
    • 14.4.5. Key Products/Services Offered
  • 14.5. Oracle Corporation
    • 14.5.1. Business Overview
    • 14.5.2. Key Revenue and Financials
    • 14.5.3. Recent Developments
    • 14.5.4. Key Personnel
    • 14.5.5. Key Products/Services Offered
  • 14.6. SAS Institute Inc
    • 14.6.1. Business Overview
    • 14.6.2. Key Revenue and Financials
    • 14.6.3. Recent Developments
    • 14.6.4. Key Personnel
    • 14.6.5. Key Products/Services Offered
  • 14.7. Talend SA
    • 14.7.1. Business Overview
    • 14.7.2. Key Revenue and Financials
    • 14.7.3. Recent Developments
    • 14.7.4. Key Personnel
    • 14.7.5. Key Products/Services Offered
  • 14.8. Alteryx Inc
    • 14.8.1. Business Overview
    • 14.8.2. Key Revenue and Financials
    • 14.8.3. Recent Developments
    • 14.8.4. Key Personnel
    • 14.8.5. Key Products/Services Offered
  • 14.9. Paxata Inc
    • 14.9.1. Business Overview
    • 14.9.2. Key Revenue and Financials
    • 14.9.3. Recent Developments
    • 14.9.4. Key Personnel
    • 14.9.5. Key Products/Services Offered
  • 14.10. Hortonworks Inc
    • 14.10.1. Business Overview
    • 14.10.2. Key Revenue and Financials
    • 14.10.3. Recent Developments
    • 14.10.4. Key Personnel
    • 14.10.5. Key Products/Services Offered

15. Strategic Recommendations

16. About Us & Disclaimer

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