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表紙：データラングリング市場-世界の産業規模、シェア、動向、機会、予測、2018-2028年
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データラングリング市場-世界の産業規模、シェア、動向、機会、予測、2018-2028年

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
出版日: | 発行: TechSci Research | ページ情報: 英文 182 Pages | 納期: 2～3営業日

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データラングリング市場-世界の産業規模、シェア、動向、機会、予測、2018-2028年
出版日: 2023年09月05日
発行: TechSci Research
ページ情報: 英文 182 Pages
納期: 2～3営業日
  • 全表示
  • 概要
  • 目次
概要

世界のデータラングリング市場は、データラングリングプロバイダーによるSaaS（Software as a Service）のようなウェブベースのサービスに対する需要の増加により、予測期間2024年から2028年にかけて堅調なペースで成長すると予測されています。

データ・クリーニング、クレンジング、リメディエーション、マンジングとしても知られるデータ・ラングリングは、データ洞察の理解と運用化における最初の、そして最も重要な段階です。データソースへの接続、一貫性を確保するための情報の再フォーマット化、重複の排除、異種ソースの統合、膨大なデータセット内の不要な「ノイズ」のフィルタリングは、すべてこのプロセスの一部です。

データ分析チームは、機械学習ワークフローやレポート作成、その他の関連業務で使用するために、データの整理や準備に時間の50～80％を費やすことが多いです。データ・ラングリングまたはデータ・マングリングは基本的に、生データの形状から別の構成に情報を変更しマッピングするプロセスであり、その目的は情報に影響を与え、例えばアナリティクスなどの様々な下流の目的により適切で重要なものにすることです。

市場概要
予測期間 2024-2028
市場規模2022年 27億5,000万米ドル
2028年の市場規模 49億4,000万米ドル
CAGR 9.81%
急成長セグメント クラウド
最大市場 北米

セルフサービス・データ準備モデル

セルフサービス・データ準備パラダイムは、データ・ラングリング業界の成長を促進する主な要因の一つです。この手法により、企業はデータ・サイエンティストを介さずにデータ・セットをクリーンにすることができます。この要素は、組織のリーダーがIT担当者の介入なしにビジネスインサイトを導き出すことを効果的に可能にしています。さらに、各業界におけるビッグデータの関連性、人工知能や機械学習技術とデータ・ラングリング・ツールの統合が、世界のデータ・ラングリング市場を牽引すると予想されます。これは、あらゆる産業におけるデータラングリングの利用増加に役立っており、予測期間を通じて市場成長を促進すると思われます。

BYOD（Bring Your Own Device）の動向が市場を後押し

Bring Your Own Device（BYOD）とビジネスモビリティ動向は、データ絞込み業界の成長を促進する重要な促進要因として浮上すると予測されます。さらに、データの速度と量、AIとMI技術における技術的ブレークスルーは、データ管理業界の成長を悪化させると思われます。しかし、データ品質に関する困難は、この分野の成長制約として作用します。予測期間中、BYODは世界データラングリング市場の成長を促進しています。

利用可能なカスタマイズ

TechSci Researchでは、企業固有のニーズに応じたカスタマイズを提供しています。レポートでは以下のカスタマイズが可能です：

企業情報

  • 追加市場参入企業（最大5社）の詳細分析とプロファイリング

目次

第1章 サービス概要

第2章 調査手法

第3章 COVID-19が世界のデータラングリング市場に与える影響

第4章 エグゼクティブサマリー

第5章 顧客の声

第6章 データラングリングの世界市場展望

  • 市場規模と予測
    • 金額別
  • 市場シェアと予測
    • コンポーネント別（ツール、サービス）
    • 導入モデル別（クラウド、オンプレミス）
    • 企業モデル別（中小企業、大企業）
    • エンドユーザー別（IT・通信、小売、BFSI）
    • 地域別
  • 企業別
  • 市場マップ

第7章 北米データラングリング市場展望

  • 市場規模・予測
    • 金額別
  • 市場シェアと予測
    • コンポーネント別
    • 展開モデル別
    • 企業モデル別
    • エンドユーザー別
    • 国別
  • 北米国別分析
    • 米国
    • カナダ
    • メキシコ

第8章 アジア太平洋データラングリング市場の展望

  • 市場規模と予測
    • 金額別
  • 市場シェアと予測
    • コンポーネント別
    • 展開モデル別
    • エンドユーザー別
    • 国別
  • アジア太平洋地域国別分析
    • 中国
    • インド
    • 日本
    • 韓国
    • オーストラリア
    • シンガポール
    • マレーシア

第9章 欧州データラングリング市場展望

  • 市場規模と予測
    • 金額別
  • 市場シェアと予測
    • コンポーネント別
    • 展開モデル別
    • 企業モデル別
    • エンドユーザー別
  • 欧州国別分析
    • ドイツ
    • 英国
    • フランス
    • ロシア
    • スイス
    • ベルギー
    • イタリア

第10章 南米データラングリング市場の展望

  • 市場規模・予測
    • 金額別
  • 市場シェアと予測
    • コンポーネント別
    • 展開モデル別
    • 企業モデル別
    • エンドユーザー別
    • 国別
  • 南米：国別分析
    • ブラジル
    • アルゼンチン
    • コロンビア
    • ペルー
    • チリ

第11章 中東・アフリカのデータラングリング市場展望

  • 市場規模・予測
    • 金額別
  • 市場シェアと予測
    • コンポーネント別
    • 展開モデル別
    • 企業モデル別
    • 国別
  • 中東&アフリカ：国別分析
    • サウジアラビア
    • 南アフリカ
    • アラブ首長国連邦
    • イスラエル
    • トルコ

第12章 市場力学

  • 促進要因
  • 課題

第13章 市場動向と発展

第14章 企業プロファイル

  • 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

第15章 戦略的提言

第16章 調査会社について・免責事項

目次
Product Code: 14890

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