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全球内存OLAP数据库市场报告(2016-2020年)

Global In-Memory OLAP Database Market 2016-2020

加工时间:2017-03-30 信息来源:EMIS 索取原文[63 页]
关键词:内存数据库;IMDM;子组件之一;内存数据网格(IMDG)
摘 要:

The in-memory database is one of the subcomponents of IMDM, the other subcomponent being in-memory data grid (IMDG). IMDM and in-memory application platform (IMAP) are the components of in-memory computing (IMC), which form the base of this technology. The primary purpose of in-memory processing technology is to enable real-time analyses and allow organizations to store data in RAM rather than in traditional disk storages, which reduces their operational costs. The segmentation of in-memory computing is depicted in the exhibit below.


目 录:

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 


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