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市場調查報告書

分散式資料電網的全球市場:2015∼2019年

Global Distributed Data Grid Market 2015-2019

出版商 TechNavio (Infiniti Research Ltd.) 商品編碼 338503
出版日期 內容資訊 英文 52 Pages
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分散式資料電網的全球市場:2015∼2019年 Global Distributed Data Grid Market 2015-2019
出版日期: 2015年08月26日 內容資訊: 英文 52 Pages
簡介

分散式資料電網是資料硬碟空間軟體。全球分散式資料電網市場預測在2014年到2019年間將以16.35%的年複合成長率擴大。

本報告提供全球分散式資料電網市場現狀與未來展望之相關調查,提供您主要的市場趨勢,市場成長因素與課題分析,競爭環境,並彙整主要企業的簡介等資訊。

第1章 摘要整理

第2章 本報告的調查範圍

  • 市場概要
  • 主要供應商的產品 (服務)

第3章 市場調查手法

  • 調查手法
  • 經濟指標

第4章 簡介

  • 主要市場概況

第5章 市場形勢

  • 市場概要
  • 市場規模與預測
  • 波特的五力分析

第6章 各終端用戶的市場分類

  • 主要的終端用戶
  • 銀行·金融服務·保險業
  • 通訊產業
  • 零售業
  • 政府機關

第7章 地理區分

  • 地理區分

第8章 市場成長因素

  • 市場成長因素

第9章 市場成長因素的影響

第10章 市場課題

  • 市場課題

第11章 成長因素與課題的影響

第12章 市場趨勢

第13章 業者情勢

  • 競爭模式
  • 主要供應商分析
  • 其他卓越供應商

第14章 主要供應商分析

  • IBM
  • Oracle
  • Red Hat
  • Software AG
  • VMware

第15章 附錄

  • 簡稱清單

第16章 關於Technavio

目錄
Product Code: IRTNTR7025

About distributed data grid

Distributed data grids are data storage software. They represent a sub-segment of in-memory computing. Data grids store data in the RAMs of a set of multiple servers distributed across various locations, which can be managed centrally. Distributed data grids are versatile as they can store both structured as well as unstructured data. Distributed data grids have several advantages over traditional forms of data storage as the software avoids traditional input/output bottlenecks encountered in relational database structures by using object-oriented designs.

The concept of using in-memory systems for storage and computing purposes is not new, but the technology has gained traction due to recent innovations in scale-out architecture and reduction in the prices of storage devices. Enterprises are using distributed data grid software to deal with large volumes of data. The data is distributed and stored in multiple servers, wherein each server operates in the active mode. Distributed data grids offer scalability, and companies can add or reduce the number of servers in the network.

Distributed data grid technology is widely used in the banking and financial as well as the online e-commerce sectors because of its inherent advantages, such as improved performance, productivity, and customer experience. The technology has boosted decision-making capabilities, competitiveness, and profitability of several companies in the financial services sector through enhanced performance in stock markets. The technology has also proved its worth in a flight booking system that was designed for a major European budget airline.

The growing volumes of data in enterprises have boosted the popularity of distributed data grid software as a mainstream solution. Distributed data grid software helps enterprises avoid Internet traffic and caches data in-memory, resulting in faster response times. In addition, the software helps enterprises resolve performance issues; the technology is widely accepted in sectors that face scalability issues, such as e-commerce.

Technavio expects that distributed data grid software will take about four to five years to gain prominence as a stand-alone solution. Currently, as an embedded component, the market is in the developing stage of PLC (PLC comprises four stages: nascent, developing, mature, and decline). Software vendors are embedding distributed data grid technology in their packaged applications (including ESB technologies, application servers, and BPM tools). However, dearth of talent and lack of standards in the market are blocking widespread acceptance of data grid software.

TechNavio's analysts forecast the global distributed data grid market to grow at a CAGR of 16.35% over the period 2014-2019.

Covered in this report

The global CLM market is segmented on the basis of products and geography.

TechNavio's report, Global Distributed Data Grid Market 2015-2019, has been prepared based on an in-depth market analysis with inputs from industry experts. It covers the market landscape of the global distributed data grid market and its growth prospects in the coming years. The report also includes a discussion on the key vendors operating in this market.

Key vendors

  • IBM
  • Oracle
  • Red Hat
  • Software AG
  • VMware

Other Prominent Vendors

  • Alachisoft
  • GigaSpaces
  • Hazelcast
  • ScaleOut Software

Market driver

  • Growing volumes of data
  • For a full, detailed list, view our report

Market challenge

  • Lack of expertise
  • For a full, detailed list, view our report

Market trend

  • Emergence of cloud technology
  • For a full, detailed list, view our report

Key questions answered in this report

  • What will the market size be in 2019 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?

Table of Contents

PART 01: Executive summary

PART 02: Scope of the report

  • Market overview
  • Top-vendor offerings

PART 03: Market research methodology

  • Research methodology
  • Economic indicators

PART 04: Introduction

  • Key market highlights

PART 05: Market landscape

  • Market overview
  • Market size and forecast
  • Five forces analysis

PART 06: Market segmentation by end user

  • Major end-users
  • BFSI
  • Telecommunications
  • Retail
  • Government

PART 07: Geographical segmentation

  • Geographical segmentation

PART 08: Market drivers

  • Market growth drivers

PART 09: Impact of drivers

PART 10: Market challenges

  • Market challenges

PART 11: Impact of drivers and challenges

PART 12: Market trends

PART 13: Vendor landscape

  • Competitive scenario
  • Key vendor analysis 2014
  • Other prominent vendors

PART 14: Key vendor analysis

  • IBM
  • Oracle
  • Red Hat
  • Software AG
  • VMware

PART 15: Appendix

  • List of abbreviations

PART 16: Explore Technavio

List of Exhibits

  • Exhibit 01: Product offerings
  • Exhibit 02: Global distributed data grid market 2014-2019 ($ millions)
  • Exhibit 03: Five forces analysis
  • Exhibit 04: Global distributed data grid market segmentation by geography 2014
  • Exhibit 05: Impact of drivers
  • Exhibit 06: Impact of drivers and challenges
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