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市場調查報告書

內存記憶體OLAP資料庫的全球市場:2016年∼2020年

Global In-memory OLAP Database Market 2016-2020

出版商 TechNavio (Infiniti Research Ltd.) 商品編碼 373866
出版日期 內容資訊 英文 63 Pages
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內存記憶體OLAP資料庫的全球市場:2016年∼2020年 Global In-memory OLAP Database Market 2016-2020
出版日期: 2016年10月04日 內容資訊: 英文 63 Pages
簡介

全球內存記憶體OLAP資料庫市場在2016年∼2020年間預測將以年複合成長率 (CAGR) 24.95%的速度成長。

本報告提供全球內存記憶體OLAP資料庫市場相關調查分析,市場規模與成長率,市場趨勢,市場的推動要素與課題,市場機會除了驗證,再加上主要供應商等相關的系統性資訊。

第1章 摘要整理

第2章 調查範圍

  • 市場概要

第3章 市場調查手法

  • 調查手法
  • 經濟指標

第4章 簡介

第5章 市場形勢

  • 市場說明
  • 市場規模與預測

第6章 內存記憶體OLAP資料庫的全球市場:各用途

  • 各終端用戶
  • 零售部門
  • BFSI部門
  • 醫療部門
  • IT·通訊部門
  • 政府部門

第7章 內存記憶體OLAP資料庫的全球市場:各地區

  • 各地區
  • 南北美洲
  • 歐洲
  • 亞太地區
  • 中東·非洲

第8章 內存記憶體OLAP資料庫的全球市場:推動因素

第9章 推動因素的影響

第10章 內存記憶體OLAP資料庫的全球市場:課題

第11章 推動因素與課題的影響

第12章 內存記憶體OLAP資料庫的全球市場:趨勢

第13章 五力分析模型

第14章 業者情勢

  • 競爭情形
  • 主要供應商產品

第15章 供應商矩陣

第16章 主要供應商分析

  • 業者簡介
  • 其他卓越供應商

第17章 附錄

第18章 關於Technavio

目錄
Product Code: IRTNTR10575

About In-Memory Database

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.

Technavio's analysts forecast the global in-memory OLAP database market to grow at a CAGR of 24.95% during the period 2016-2020.

Covered in this report

The report covers the present scenario and the growth prospects of the global in-memory OLAP database market for 2016-2020. To calculate the market size, the report considers the market value of in-memory computing in 2015.

The market is divided into the following segments based on geography:

  • Americas
  • APAC
  • Europe
  • MEA

Technavio's report, Global In-Memory OLAP Database 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

  • Altibase
  • IBM
  • Microsoft
  • Oracle
  • SAP SE

Other Prominent Vendors

  • Exasol
  • Jedox AG
  • Kognitio
  • Mcobject
  • MemSQL
  • MicroStrategy
  • SAS Institute
  • Teradata
  • Terracotta
  • VoltDB

Market driver

  • Increased adoption among SMEs
  • For a full, detailed list, view our report

Market challenge

  • Hardware specification requirements
  • For a full, detailed list, view our report

Market trend

  • Parallel processing of columnar database
  • 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.

Table of Contents

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
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