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

IBM, Informatica, Oracle, SAP, SAS Institute, Trillium Software, Ataccama, DataMentors, Experian, Innovative Systems, Melissa Data, Pitney Bowes, RedPoint, Talend, Uniserv.