Global In-memory OLAP Database Market 2016-2020
SKU ID :TNV-10280212 | Published Date: 04-Oct-2016 | No. of pages: 63Description
TOC
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
Tables & Figures
Companies
Altibase, IBM, Microsoft, Oracle, SAP SE, Exasol, Jedox AG, Kognitio, Mcobject, MemSQL, MicroStrategy, SAS Institute, Teradata, Terracotta, VoltDB.
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