データ品質ツールの世界市場2016-2020

◆英語タイトル:Global Data Quality Tools Market 2016-2020
◆商品コード:IRTNTR10073
◆発行会社(調査会社):Technavio
◆発行日:2016年8月19日
◆ページ数:72
◆レポート言語:英語
◆レポート形式:PDF
◆納品方法:Eメール(受注後24時間以内)
◆調査対象地域:グローバル
◆産業分野:IT
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当調査レポートでは、データ品質ツールの世界市場について調査・分析し、エグゼクティブサマリー、市場概観、市場概観、業界の構造分析、データ品質ツールの世界市場規模及び予測、需要先別分析、地域別分析/市場規模、購買基準、市場の成長要因、市場の課題、市場動向、競争状況などの情報をお届けいたします。
【レポートの概要】

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.

【レポートの目次】

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



【レポートのキーワード】

データ品質ツール

【調査方法】

一次資料による調査(業界専門家、ベンダー、代理店、顧客等を対象にしたデプスインタビュー調査など)及び二次資料による調査(Technavio独自のプラットフォーム、産業書籍、企業報告書、ニュース記事、アナリストレポート、貿易協会、政府機関発行データなど)

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