Global In-memory OLAP Database Market 2016-2020

SKU ID :TNV-10280212 | Published Date: 04-Oct-2016 | No. of pages: 63
PART 01: Executive summary • Highlights PART 02: Scope of the report • Market overview PART 03: Market research methodology • Research methodology • Economic indicators PART 04: Introduction • Key market highlights PART 05: Market landscape • Market description • Market size and forecast PART 06: Market segmentation by application • Segmentation of global in-memory OLAP database by end-users 2015-2020 • Global in-memory OLAP database market in retail sector • Global in-memory OLAP database market in BFSI sector • Global in-memory OLAP database market in healthcare sector • Global in-memory OLAP database market in IT and telecom sector • Global in-memory OLAP database market in government sector PART 07: Geographical segmentation • Geographical segmentation of global in-memory OLAP database 2015-2020 • In-memory OLAP database market in Americas • In-memory OLAP database market in Europe • In-memory OLAP database market in APAC • In-memory OLAP database market in MEA PART 08: Market drivers • Increased adoption among SMEs • Efficient and faster analytics • Continuous decline in RAM prices PART 09: Impact of drivers PART 10: Market challenges • Security threats from data breach • Hardware specification requirements • Threat from loss of data PART 11: Impact of drivers and challenges PART 12: Market trends • Real-time analysis of data • Increasing demand for memory devices • Parallel processing of columnar database PART 13: Five forces model PART 14: Vendor landscape • Competitive landscape • Top vendor offerings PART 15: Vendor matrix • Vendor analysis • Vendor matrix PART 16: Key vendor analysis • Vendor profiles • Other prominent vendors PART 17: Appendix • List of abbreviations PART 18: Explore Technavio List of Exhibits Exhibit 01: Major countries covered Exhibit 02: Segmentation of in-memory computing Exhibit 03: Global in-memory OLAP database market Exhibit 04: Global in-memory OLAP database 2015-2020 ($ billions) Exhibit 05: Global in-memory OLAP database market by end-user 2015 (%share) Exhibit 06: Segmentation of global in-memory OLAP database market by end-user 2015-2020 Exhibit 07: Global in-memory OLAP database market in retail sector 2015-2020 ($ billions) Exhibit 08: Global in-memory OLAP database market in BFSI sector 2015-2020 ($ billions) Exhibit 09: Global in-memory OLAP database market in healthcare sector 2015-2020 ($ billions) Exhibit 10: Global in-memory OLAP database market in IT and telecom sector 2015-2020 ($ billions) Exhibit 11: Global in-memory OLAP database market in government sector 2015-2020 ($ billions) Exhibit 12: Global in-memory OLAP database market in others 2015-2020 ($ billions) Exhibit 13: Global in-memory OLAP database market by geography 2015-2020 (% share) Exhibit 14: In-memory OLAP database market in Americas 2015-2020 ($ billions) Exhibit 15: In-memory OLAP database market in Europe 2015-2020 ($ billions) Exhibit 16: In-memory OLAP database market in APAC 2015-2020 ($ billions) Exhibit 17: In-memory OLAP database market in MEA 2015-2020 ($ billions) Exhibit 18: Variation in the price of RAM ($) Exhibit 19: Impact of drivers Exhibit 20: Largest data breaches globally in 2014-2015 Exhibit 21: Impact of drivers and challenges Exhibit 22: Five forces model Exhibit 23: Product offerings Exhibit 24: Vendor matrix by features Exhibit 25: Vendor matrix by data storage modes Exhibit 26: Vendor matrix by security Exhibit 27: Vendor matrix by operating systems Exhibit 28: Vendor matrix by geographical presence Exhibit 29: Features of ALTIBASE HDB Exhibit 30: Key highlights: Altibase Exhibit 31: Features of IBM DB2 Exhibit 32: Key highlights: IBM Corporation Exhibit 33: Features of Microsoft SQL Server Analysis Services Exhibit 34: Key highlights: Microsoft Exhibit 35: Features of Oracle Essbase Exhibit 36: Key highlights: Oracle Exhibit 37: Features of SAP HANA Exhibit 38: Key highlights: SAP SE Exhibit 39: Other prominent vendors
Altibase, IBM, Microsoft, Oracle, SAP SE, Exasol, Jedox AG, Kognitio, Mcobject, MemSQL, MicroStrategy, SAS Institute, Teradata, Terracotta, VoltDB.
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