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市場調査レポート

Hadoop (ハドゥープ) の世界市場:2016〜2020年

Global Hadoop Market 2016-2020

発行 TechNavio (Infiniti Research Ltd.) 商品コード 261556
出版日 ページ情報 英文 72 Pages
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Hadoop (ハドゥープ) の世界市場:2016〜2020年 Global Hadoop Market 2016-2020
出版日: 2016年05月19日 ページ情報: 英文 72 Pages
概要

ウェブのログやオンライン取引、ソーシャルメディア、動画配信といった様々な形式からのインターネット上データの増加は、データを補完、管理して有益な分析を引き出す積極的な方策を取ることを企業に求めています。Technavioの調査では、2015年には世界中の企業から約7ゼタバイトのデータが生産されたと見られます。全体の中では、80%以上がソーシャルメディアプラットフォームやクリックストリーム、サーバーログ、センサー、IoTから出た非構造化データでした。有益な情報を保管して、非構造化データやリアルタイム分析からから考察をおこなうことは、企業にとって難しい課題です。

当レポートでは、Hadoop (ハドゥープ) の世界市場の現在のシナリオや成長の展望、専門家の意見に基づく市場分析、主要ベンダーの分析などについて取り上げています。

第1章 エグゼクティブサマリー

第2章 調査の対象

  • Hadoopの流通ベンダー
  • 技術パートナー

第3章 市場調査手法

  • 調査手法
  • 経済指標

第4章 イントロダクション

  • 主な市場ハイライト

第5章 Hadoopの登場

  • Hadoopはどのように登場した
  • データとHadoopの物語

第6章 Hadoopの構成要素

  • Hadoop1.0とHadoop2.0の概要
  • Hadoopの構成要素

第7章 Hadoopプロジェクトの収益構造

第8章 Hadoopベースのビッグデータ管理プロセス

  • HadoopとRDBMSの比較

第9章 市場の規模と予測

第10章 導入別市場分類

  • 市場概要
  • 導入別のHadoopの世界市場

第11章 製品別市場分類

  • 製品別のHadoopの世界市場

第12章 エンドユーザー別市場分類

  • エンドユーザー別のHadoopの世界市場

第13章 地域的分類

  • 地域別のHadoopの世界市場
  • 地域別のHadoopの世界市場(2015〜2020年)

第14章 市場活性因子

  • Hadoopのの登場において重要な役割を担うビッグデータ
  • リソースの最適な使用を保証するHadoop
  • 時間管理におけるよりよい透明性を提供するHadoopソリューション

第15章 活性因子とその影響

第16章 市場の課題

  • 導入フェイズにおいて障害となる技術スキルの不足
  • オープンソースソフトウェアの相性の悪さ
  • リアルタイムデータ分析の問題
  • Hadoopプラットフォームの未成熟さ

第17章 活性因子の影響と課題

第18章 市場の動向

  • Hadoopの世界市場への投資拡大
  • コスト効率性の点から中小企業での採用が進むHDaaSソリューション
  • 柔軟性と拡張性の拡大へのニーズの高まりが経営決定を決める

第19章 ファイブフォース分析

第20章 ベンダーの展望

  • Hadoop流通ベンダー vs. 技術パートナー
  • 技術パートナーのいるHadoop流通ベンダーのマッピング

第21章 Hadoop流通ベンダー

  • Cloudera
  • Hortonworks
  • MapR

第22章 技術パートナー

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

第23章 その他の注目ベンダー

第24章 付属資料

第25章 Technavioについて

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目次
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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