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市場調查報告書

Hadoop的全球市場:2016∼2020年

Global Hadoop Market 2016-2020

出版商 TechNavio (Infiniti Research Ltd.) 商品編碼 261556
出版日期 內容資訊 英文 72 Pages
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Hadoop的全球市場:2016∼2020年 Global Hadoop Market 2016-2020
出版日期: 2016年05月19日 內容資訊: 英文 72 Pages
簡介

由於來自網站的記錄和線上交易,社群媒體,影片播送等各種形式的網際網路資料的增加,企業要求採取積極措施在資料補充、管理並提出有益的分析。在Technavio的調查中,認為2015年全世界的企業約產生7皆位元組的資料。整體中有80%以上是從社群媒體平台和點選流、伺服器記錄、感測器、IoT產生的非結構化資料。保管有益的資訊、進行非結構化資料和即時分析考察,對企業來說是困難的課題。

本報告提供Hadoop的全球市場的目前方案和成長的展望,專家的意見為基礎市場分析,主要供應商分析等。

第1章 摘要整理

第2章 調查的對象

  • Hadoop的流通供應商
  • 技術合作夥伴

第3章 市場調查手法

  • 調查手法
  • 經濟指標

第4章 簡介

  • 主要市場焦點

第5章 Hadoop的登場

  • Hadoop怎麼登場了
  • 資料和Hadoop的故事

第6章 Hadoop的結構要素

  • Hadoop1.0和Hadoop2.0概要
  • Hadoop的結構要素

第7章 Hadoop計劃的收益結構

第8章 Hadoop為基礎的巨量資料管理流程

  • Hadoop和RDBMS比較

第9章 市場規模與預測

第10章 各引進市場分類

  • 市場概要
  • 各引進的Hadoop的全球市場

第11章 各產品市場分類

  • 各產品的Hadoop的全球市場

第12章 各終端用戶市場分類

  • 各終端用戶的Hadoop的全球市場

第13章 地區分類

  • 各地區的Hadoop的全球市場
  • 各地區的Hadoop的全球市場(2015∼2020年)

第14章 市場促進要素

  • 在Hadoop的登場中發揮重要作用巨量資料
  • Hadoop保證資源的最適合使用
  • 提供比時間管理上更佳透明度的Hadoop解決方案

第15章 促進要素與其影響

第16章 市場課題

  • 在引進階段中技術不足成為障礙
  • 開放原始碼軟體的不兼容
  • 即時資料分析的問題
  • Hadoop平台的未成熟

第17章 促進要素的影響與課題

第18章 市場趨勢

  • Hadoop在全球市場投資擴大
  • 由於成本效率性這點,中小企業進行採用HDaaS解決方案
  • 彈性和擴充性擴大的需求高漲決定了經營決策

第19章 波特的五力分析

第20章 供應商的展望

  • Hadoop流通供應商 vs. 技術合作夥伴
  • 有技術合作夥伴的Hadoop流通供應商的製圖

第21章 Hadoop流通供應商

  • Cloudera
  • Hortonworks
  • MapR

第22章 技術合作夥伴

  • Amazon Web Services
  • Cisco Systems
  • Datameer
  • IBM
  • Microsoft
  • Oracle
  • Pivotal
  • Teradata

第23章 其他關注供應商

第24章 附屬資料

第25章 關於Technavio

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目錄
Product Code: IRTNTR9498

About the Hadoop Market

The increased amount of data on the internet from various modes such as web logs, online transactions, social media, and video streaming has forced organizations to take proactive measures to store and manage data and derive useful insights. According to Technavio, approximately 7 zettabytes of data churned out from enterprises globally in 2015. Out of the total, more than 80% was unstructured data that came from social media platforms, clickstreams, server logs, sensors, and the Internet of Things. Storing useful information and deriving insights from unstructured data and real-time analytics are challenging tasks for organizations.

Hadoop played a pivotal role for enterprises over the past 4-5 years in handling the increase of data. Apache Hadoop is a framework that works on a clustered file system that can share multiple servers simultaneously. It is an open-source software platform that uses MapReduce technology, which is a programming model that allows for processing and generating large data sets with a distributed algorithm on a cluster. The technology involves two steps. The Map step helps control nodes from various sources such as legacy systems and extensible markup language files. In the Reduce step, various smaller work nodes of information are created and distributed across a computing cluster server. This will help perform distributed computations on various hardware servers.

Technavio's analysts forecast the global Hadoop market to grow at a CAGR of 59.37% during the period 2016-2020.

Covered in this report

The report covers the present scenario and the growth prospects of the global Hadoop market for 2016-2020. To calculate the market size, the report considers revenue generated from the sales of Hadoop solutions with functionalities such as MapReduce, integrated solutions, and services (consultation, training, and maintenance). The revenue generated from after-sales services is not considered.

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

  • Americas
  • APAC
  • EMEA

Technavio's report, Global Hadoop 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

  • Cloudera
  • Hortonworks
  • MapR
  • Amazon Web Services
  • Cisco Systems
  • Datameer
  • IBM
  • Microsoft
  • Oracle
  • Pivotal
  • Teradata

Other Prominent Vendors

  • Altiscale
  • Cask
  • Google
  • HP
  • Infochimps
  • Karmasphere
  • Mortar Data
  • Pentaho

Market driver

  • Hadoop ensures optimal use of resources
  • For a full, detailed list, view our report

Market challenge

  • Dearth of technical skill act as a barrier during deployment phases
  • For a full, detailed list, view our report

Market trend

  • Rising need to enhance flexibility and scalability to make operational decisions
  • 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

  • Key findings

PART 02: Scope of the report

  • Hadoop distribution vendors
  • Technology partners

PART 03: Market research methodology

  • Research methodology
  • Economic indicators

PART 04: Introduction

  • Key market highlights

PART 05: Emergence of Hadoop

  • How Hadoop came into picture
  • Data and Hadoop story

PART 06: Hadoop components

  • Hadoop 1.0 and Hadoop 2.0 overview
  • Hadoop components

PART 07: Hadoop projects ecosystem

PART 08: Hadoop-based big data management process

  • Comparison of Hadoop and RDBMS

PART 09: Market size and forecast

PART 10: Market segmentation by deployment

  • Market overview
  • Global Hadoop market by deployment

PART 11: Market segmentation by product

  • Global Hadoop market by product

PART 12: Market segmentation by end-user

  • Global Hadoop market by end-user

PART 13: Market segmentation by region

  • Global Hadoop market by region
  • Global Hadoop market by region 2015-2020

PART 14: Market drivers

  • Big data plays a pivotal role in advent of Hadoop
  • Hadoop ensures optimal use of resources
  • Hadoop solution provides better clarity on time management

PART 15: Impact of drivers

PART 16: Market challenges

  • Dearth of technical skill act as a barrier during deployment phases
  • Difficulties with open-source software
  • Real-time data analytics issues
  • Hadoop platform's immaturity

PART 17: Impact of drivers and challenges

PART 18: Market trends

  • Increasing investment in global Hadoop market
  • HDaaS solution is encouraged by SMEs for cost-effectiveness
  • Rising need to enhance flexibility and scalability to make operational decisions

PART 19: Five forces analysis

PART 20: Vendor landscape

  • Hadoop distribution vendors vs technology partners
  • Mapping of Hadoop distribution vendors with technology partners

PART 21: Hadoop distribution vendors

  • Cloudera
  • Hortonworks
  • MapR

PART 22: Technology partners

  • Amazon Web Services
  • Cisco Systems
  • Datameer
  • IBM
  • Microsoft
  • Oracle
  • Pivotal
  • Teradata

PART 23: Other prominent vendors

PART 24: Appendix

  • List of abbreviations

PART 25: Explore Technavio

List of Exhibits

  • Exhibit 01: On-premises and HDaaS segments of global Hadoop market 2015 and 2020 (% share)
  • Exhibit 02: Hadoop distribution offerings
  • Exhibit 03: Technology partners integrating Hadoop distribution
  • Exhibit 04: Advantages of Hadoop
  • Exhibit 05: NoSQL databases mapped to vendors
  • Exhibit 06: Hadoop components
  • Exhibit 07: Apache Hadoop ecosystem
  • Exhibit 08: Hadoop-based big data management process
  • Exhibit 09: Comparison of Hadoop and RDBMS
  • Exhibit 10: Global Hadoop market 2015-2020 ($ billions)
  • Exhibit 11: Global Hadoop market by deployment 2015 (% share)
  • Exhibit 12: Use of Hadoop in large companies
  • Exhibit 13: Global Hadoop market share by deployment 2015-2020 (% share)
  • Exhibit 14: Global Hadoop market by product type
  • Exhibit 15: Global Hadoop market by product 2015 (% share)
  • Exhibit 16: Global Hadoop market share by product 2015-2020 (% share)
  • Exhibit 17: Global Hadoop market by product 2015-2020 ($ billions)
  • Exhibit 18: Global Hadoop market by end-user
  • Exhibit 19: Geographical segmentation of Hadoop market 2015 (% share)
  • Exhibit 20: Geographical segmentation of Hadoop market 2020 (% share)
  • Exhibit 21: Geographical segmentation of Hadoop market 2015-2020 ($ billions)
  • Exhibit 22: Impact of drivers
  • Exhibit 23: Impact of drivers and challenges
  • Exhibit 24: Five forces analysis
  • Exhibit 25: Mapping of Hadoop distribution vendors with technology partners
  • Exhibit 26: Cloudera products and services
  • Exhibit 27: Hortonworks products
  • Exhibit 28: Amazon Web Services products
  • Exhibit 29: Amazon Web Services solutions
  • Exhibit 30: Datameer products
  • Exhibit 31: Other prominent vendors
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