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巨量资料·基础设施的全球市场:2016年~2020年

Global Big Data Infrastructure Market 2016-2020

出版商 TechNavio (Infiniti Research Ltd.) 商品编码 356765
出版日期 内容资讯 英文 51 Pages
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巨量资料·基础设施的全球市场:2016年~2020年 Global Big Data Infrastructure Market 2016-2020
出版日期: 2016年04月15日内容资讯: 英文 51 Pages
简介

全球巨量资料·基础设施市场预测从2016年到2020年间,将以33.15%的年复合成长率 (CAGR) 扩大。

本报告提供全球巨量资料·基础设施市场现状分析与今后产品及地区别预测,再加上市场成长因素与课题,主要趋势,主要供应商简介等资讯。

第1章 摘要整理

  • 概况

第2章 本报告的调查范围

  • 市场概要
  • 主要供应商的产品

第3章 市场调查手法

  • 调查手法
  • 经济指标

第4章 简介

  • 主要市场洞察

第5章 市场形势

  • 市场概要
  • 市场规模与预测

第6章 各产品的市场分类

  • 市场概要
  • 储存
  • 伺服器
  • 网路

第7章 地理区分

  • 市场概要
  • 南北美洲的巨量资料·基础设施市场
  • 亚太地区的巨量资料·基础设施市场
  • 欧洲·中东·非洲地区的巨量资料·基础设施市场
  • 市场魅力

第8章 市场成长因素

第9章 市场成长因素的影响

第10章 市场课题

第11章 成长因素与课题的影响

第12章 市场趋势

第13章 业者情势

  • 概要
  • 储存
  • 伺服器
  • 网路
  • 其他卓越供应商

第14章 附录

  • 简称清单

第15章 关于Technavio

目录
Product Code: IRTNTR9241

About Big Data Infrastructure

Big data refers to a wide range of hardware, software, and services required for processing and analyzing enterprise data that is too large for traditional data processing tools to manage. In this report, we have included big data infrastructure, which includes mainly hardware and embedded software. These data are generated from various sources such as mobile devices, digital repositories, and enterprise applications, and their size ranges from terabytes to exabytes. Big data solutions have a wide range of applications such as analysis of conversations in social networking websites, fraud management in the financial services sector, and disease diagnosis in the healthcare sector.

Technavio's analysts forecast the global big data infrastructure market to grow at a CAGR of 33.15% during the period 2016-2020.

Covered in this report

The report covers the present scenario and the growth prospects of the global big data infrastructure market 2016-2020. To calculate the market size, the report considers the segments of big data infrastructure: storage, server, and networking.

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

  • Americas
  • APAC
  • EMEA

Technavio's report, Global Big Data Infrastructure 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

  • Dell
  • IBM
  • HP
  • Fusion-io
  • NetApp
  • Cisco

Other Prominent Vendors

  • Intel
  • Oracle
  • Teradata

Market driver

  • Benefits associated with big data
  • For a full, detailed list, view our report

Market challenge

  • Complexity in transformation of procured data to useful data
  • For a full, detailed list, view our report

Market trend

  • Increasing presence of open source big data technology platforms
  • 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
  • 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

PART 06: Market segmentation by product

  • Market overview
  • Global big data infrastructure market in storage segment
  • Global big data infrastructure market in servers segment
  • Global big data infrastructure market in networking segment

PART 07: Geographical segmentation

  • Market overview
  • Big data infrastructure market in Americas
  • Big data infrastructure market in APAC
  • Big data infrastructure market in EMEA
  • Market attractiveness

PART 08: Market drivers

PART 09: Impact of drivers

PART 10: Market challenges

PART 11: Impact of drivers and challenges

PART 12: Market trends

PART 13: Vendor landscape

  • Overview
  • Servers
  • Storage
  • Networking
  • Other prominent vendors

PART 14: Appendix

  • List of abbreviations

PART 15: Explore Technavio

List of Exhibits

  • Exhibit 01: Product offerings - Server
  • Exhibit 02: Product offerings - Storage
  • Exhibit 03: Product offerings - Networking
  • Exhibit 04: Global big data infrastructure market overview
  • Exhibit 05: Global big data infrastructure market 2015-2020 ($ billions)
  • Exhibit 06: Segmentation of global big data infrastructure market by product 2015
  • Exhibit 07: Global big data infrastructure market by growth rate 2015
  • Exhibit 08: Global big data infrastructure market by growth rate 2015
  • Exhibit 09: Global big data infrastructure market in storage segment 2015-2020 ($ billions)
  • Exhibit 10: Global big data infrastructure market in servers segment 2015-2020 ($ billions)
  • Exhibit 11: Global big data infrastructure market in networking segment 2015-2020 ($ billions)
  • Exhibit 12: Segmentation of global big data infrastructure market by geography 2015
  • Exhibit 13: Global big data infrastructure market by growth rate 2015
  • Exhibit 14: Segmentation of global big data infrastructure market by geography 2015-2020
  • Exhibit 15: Big data infrastructure market in Americas 2015-2020 ($ billions)
  • Exhibit 16: Big data infrastructure market in APAC 2015-2020 ($ billions)
  • Exhibit 17: Big data infrastructure market in EMEA 2015-2020 ($ billions)
  • Exhibit 18: Global big data infrastructure market 2015-2016
  • Exhibit 19: Global big data infrastructure market 2019-2020
  • Exhibit 20: Hadoop as a service market 2015-2020 ($ billion)
  • Exhibit 21: Impact of drivers
  • Exhibit 22: Impact of drivers and challenges
  • Exhibit 23: IBM: Revenue by product 2015 (% share)
  • Exhibit 24: Product segment revenue of IBM 2015 and 2014 ($ billions)
  • Exhibit 25: IBM: Revenue by geography 2015 (% share)
  • Exhibit 26: IBM: Revenue by geography 2014 (% share)
  • Exhibit 27: HP: Product segmentation 2014
  • Exhibit 28: Hewlett-Packard Enterprise: Product segmentation 2014
  • Exhibit 29: San Disk: Product segmentation by revenue 2014 (% share)
  • Exhibit 30: San Disk: Geographic segmentation by revenue 2014 (% share)
  • Exhibit 31: NetApp: Product segmentation by revenue 2015
  • Exhibit 32: Revenue generated by Net App by geographic segmentation 2015
  • Exhibit 33: Cisco: Geographic segmentation by revenue 2015 (% share)
  • Exhibit 34: Cisco: Revenue generated by product and services 2015 (% share)
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