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市場調查報告書

資料品質工具的全球市場 (2016∼2020年)

Global Data Quality Tools Market 2016-2020

出版商 TechNavio (Infiniti Research Ltd.) 商品編碼 289879
出版日期 內容資訊 英文 72 Pages
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資料品質工具的全球市場 (2016∼2020年) Global Data Quality Tools Market 2016-2020
出版日期: 2016年08月19日 內容資訊: 英文 72 Pages
簡介

所謂資料品質工具,是保證各種商務流程 (業務線,BI,分析功能,決策等) 的資料品質、可靠性所必要的多樣工具。資料品質工具的供應商,提供資料的分析、監測、語法分析、標準化、改良等各種功能。這樣的工具,適用於客戶資料和財務資料,產品資料,有助於資料的品質改善。由於許多企業為了活用巨量資料的優點,利用資料品質工具。全球資料品質工具市場年的複合成長率,預計2016∼2020年達到14.41%。

本報告提供全球的資料品管工具市場相關分析,市場概要、結構和市場趨勢,各引進模式、各終端用戶、各地區的詳細趨勢,推動、阻礙市場要素與其影響力,主要企業簡介等調查、考察。

第1章 摘要整理

第2章 調查範圍

  • 市場區隔
  • 供應商
  • 對象期間
  • 目標層

第3章 市場調查手法

  • 調查手法
  • 經濟指標

第4章 簡介

第5章 市場形勢

  • 市場概要
  • 資料整合的工作流程的資料品質流程
  • 資料品質工具的功能
  • 輸入到資料品質工具的資料種類
  • 市場規模及預測

第6章 市場區隔:各引進模式

第7章 市場區隔:各終端用戶

第8章 地理區分

  • 全球資料品質工具:各地區的明細
  • 南北美洲
  • 歐洲、中東、非洲
  • 亞太地區

第9章 購買標準

第10章 推動市場成長要素

第11章 成長推動因素的影響

第12章 市場課題

第13章 成長推動因素與課題的影響

第14章 市場趨勢

第15章 五力分析模型

第16章 業者情勢

  • 競爭模式
  • 供應商矩陣
  • 供應商比較表

第17章 供應商產品

  • 主要產品
  • 主要供應商簡介
  • 其他卓越供應商
  • 前提條件

第18章 附錄

  • 簡稱清單

第19章 關於Technavio

圖表一覽

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目錄
Product Code: IRTNTR10073

About Data Quality Tools

Data quality tools refer to a wide range of tools required to ensure the quality and dependability of data in several business processes, including core business operations, business intelligence (BI), analytics, and strategic decision-making. Data quality tool vendors offer a wide range of functionalities such as data profiling, monitoring, parsing, standardization, and enrichment. These tools are applied to customer data, financial data, and product data to improve the quality of the data. Many organizations use data quality tools to obtain the benefits of big data.

Technavio's analysts forecast the global data quality tools market to grow at a CAGR of 14.41% during the period 2016-2020.

Covered in this report

The report covers the present scenario and the growth prospects of the global data quality tools market for 2016-2020. To calculate the market size, the report considers the revenue generated from license fees, consulting fees, and annual maintenance fees of data quality tools.

The market is divided into the following segments based on geography:

  • Americas
  • APAC
  • EMEA

Technavio's report, Global Data Quality Tools Market 2016-2020, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.

Key vendors

  • IBM
  • Informatica
  • Oracle
  • SAP
  • SAS Institute
  • Trillium Software

Other Prominent Vendors

  • Ataccama
  • DataMentors
  • Experian
  • Innovative Systems
  • Melissa Data
  • Pitney Bowes
  • RedPoint
  • Talend
  • Uniserv

Market driver

  • Increased need for data quality functions in big data
  • For a full, detailed list, view our report

Market challenge

  • High implementation and product costs
  • For a full, detailed list, view our report

Market trend

  • Rising incorporation of data quality tools with data integration tools
  • For a full, detailed list, view our report

Key questions answered in this report

  • What will the market size be in 2020 and what will the growth rate be?
  • What are the key market trends?
  • What is driving this market?
  • What are the challenges to market growth?
  • Who are the key vendors in this market space?
  • What are the market opportunities and threats faced by the key vendors?
  • What are the strengths and weaknesses of the key vendors?

You can request one free hour of our analyst's time when you purchase this market report. Details are provided within the report.

Table of Contents

PART 01: Executive summary

  • Highlights

PART 02: Scope of the report

  • Market segmentation
  • Vendors
  • Review period
  • Target audience

PART 03: Market research methodology

  • Research methodology
  • Economic indicators

PART 04: Introduction

  • Key market highlights
  • Emergence of data quality tools

PART 05: Market landscape

  • Market overview
  • Data quality process in data integration workflow
  • Functions of data quality tools
  • Data types for data quality tools
  • Market size and forecast

PART 06: Market segmentation by deployment type

  • Global data quality tools market by deployment type

PART 07: Market segmentation by end-users

  • Global data quality tools market by end-users

PART 08: Geographical segmentation

  • Geographical segmentation of data quality tools market
  • Americas
  • EMEA
  • APAC

PART 09: Buying criteria

PART 10: Market drivers

PART 11: Impact of drivers

PART 12: Market challenges

PART 13: Impact of drivers and challenges

PART 14: Market trends

PART 15: Five forces model

PART 16: Vendor landscape

  • Competitive scenario
  • Vendor Matrix
  • Comparative chart for vendors

PART 17: Vendor product offerings

  • Key vendor offerings
  • Key vendor profiles
  • Other prominent vendors
  • Assumptions

PART 18: Appendix

  • List of abbreviations

PART 19: Explore Technavio

List of Exhibits

  • Exhibit 01: Countries covered for market analysis
  • Exhibit 02: Overview of global data quality tools market
  • Exhibit 03: Data quality processes in data integration workflow
  • Exhibit 04: Core functionalities of data quality tools
  • Exhibit 05: Channels for collecting customer data (% share)
  • Exhibit 06: Global data quality tools market 2015-2020 ($ billions)
  • Exhibit 07: Global data quality tools market by deployment type 2015 (% share)
  • Exhibit 08: Differences between cloud and on-premises data quality tools
  • Exhibit 09: Global data quality tools market by end-users 2015 (% share)
  • Exhibit 10: Geographical segmentation of data quality tools market 2015 (% share)
  • Exhibit 11: Geographical segmentation of data quality tools market 2015-2020 ($ millions)
  • Exhibit 12: Data quality tools market in Americas 2015-2020 ($ millions)
  • Exhibit 13: IT spending by Brazil, Mexico, Argentina and Chile 2014 and 2015 ($ billions)
  • Exhibit 14: Data quality tools market in EMEA 2015-2020 ($ millions)
  • Exhibit 15: Data quality tools market in APAC 2015-2020 ($ millions)
  • Exhibit 16: Buying criteria for data quality tools
  • Exhibit 17: Global data generation forecast 2015-2020 (in zettabytes)
  • Exhibit 18: BI process
  • Exhibit 19: Characteristics of data governance
  • Exhibit 20: Regulations affecting data quality tools market
  • Exhibit 21: Impact of drivers
  • Exhibit 22: Prices of Informatica data quality tools 2016
  • Exhibit 23: Cost split for data quality tools implementation (% share)
  • Exhibit 24: Impact of drivers and challenges
  • Exhibit 25: Features of data profiling
  • Exhibit 26: Advantages of automation of data profiling
  • Exhibit 27: Five forces model
  • Exhibit 28: Deployment model supported by data quality tools vendors
  • Exhibit 29: Features provided by data quality tools vendors
  • Exhibit 30: Geographical presence of data quality tools vendors
  • Exhibit 31: Customer base of data quality tools vendors
  • Exhibit 32: Comparative chart for data quality tools vendors
  • Exhibit 33: Product offerings
  • Exhibit 34: IBM: Company information
  • Exhibit 35: IBM: Key products and features
  • Exhibit 36: Informatica: Company information
  • Exhibit 37: Informatica: Key products and features
  • Exhibit 38: Oracle: Company information
  • Exhibit 39: Oracle: Key products and features
  • Exhibit 40: SAP: Company information
  • Exhibit 41: SAP: Key products and features
  • Exhibit 42: SAS institute: Company information
  • Exhibit 43: SAS Institute: Key products and features
  • Exhibit 44: Trillium Software: Company information
  • Exhibit 45: Trillium Software: Key products and features
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