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市場調査レポート

Hadoop-as-a-Service (HaaS)(展開の種類、エンドユーザー、地域)の世界市場:規模、シェア、世界動向、企業プロファイル、需要、考察、分析、調査、レポート、機会、セグメンテーション、予測

Global Hadoop-as-a-Service (HaaS) Market (Deployment Types, End User and Geography) - Size, Share, Global Trends, Company Profiles, Demand, Insights, Analysis, Research, Report, Opportunities, Segmentation and Forecast, 2013 - 2020

発行 Allied Market Research 商品コード 310285
出版日 ページ情報 英文 145 Pages
納期: 即日から翌営業日
価格
本日の銀行送金レート: 1USD=102.12円で換算しております。
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Hadoop-as-a-Service (HaaS)(展開の種類、エンドユーザー、地域)の世界市場:規模、シェア、世界動向、企業プロファイル、需要、考察、分析、調査、レポート、機会、セグメンテーション、予測 Global Hadoop-as-a-Service (HaaS) Market (Deployment Types, End User and Geography) - Size, Share, Global Trends, Company Profiles, Demand, Insights, Analysis, Research, Report, Opportunities, Segmentation and Forecast, 2013 - 2020
出版日: 2014年08月14日 ページ情報: 英文 145 Pages
概要

Hadoop-as-a-Service (HaaS)は、クラウド上での仮想記憶とデータ分析を定義する新しい用語で、インフラの導入が必要なオンプレミスのHadoopに代わり登場しました。Hadoop市場は2013年に前年の市場規模を倍増し成長を続けております。

当レポートでは、世界のHadoop-as-a-Service (HaaS)市場について調査分析を行い、市場概要、開発の種類、エンドユーザー、地域別の考察、主要企業のプロファイルなどについてまとめています。

第1章 イントロダクション

第2章 エグゼクティブサマリー

第3章 市場予測

  • 中程度の成長シナリオ
  • 急成長シナリオ
  • 低成長シナリオ

第4章 市場概要

  • 市場の定義と範囲
  • Hadoopのイントロダクション
  • Apache Hadoop
  • ビッグデータの現在の市場シナリオ
  • HaaSの定義
  • リアルタイム処理/分析とHaaS
  • 自社VSオープンソースHadoop
  • Elastic Map Reduce (EMR) (Amazon)
  • オンプレミスHadoopクラスターとAmazonのEMR:ケーススタディ
  • Hadoopのエコシステム
  • HaaSプロバイダー顧客の主なニーズ
  • 世界の主要企業によるHaaS
  • なぜHadoop-as-a-Serviceなのか
  • Hadoop-as-a-Serviceの価格モデル
  • HaaSプロバイダーによる収益化モデル
  • Hadoop分散ファイルシステム
  • アジア太平洋地域におけるHaaSの将来
  • 主な調査結果
  • ファイブフォース分析
  • ケーススタディ
  • 市場のダイナミクス

第5章 世界のHaaS市場:展開オプション別

  • Run-it-Yourself(RIY)
  • ピュアプレイ/マネージドHaaS

第6章 世界のHaaS市場:エンドユーザー別

  • 製造業
  • BFSI
  • 小売産業
  • 通信産業
  • 医療産業
  • 政府部門
  • メディア/娯楽
  • 貿易/輸送
  • IT/ITES

第7章 HaaS市場:地域別

  • 北米
  • 欧州
  • アジア太平洋地域
  • ラテンアメリカ/中東/アフリカ

第8章 企業プロファイル

  • Microsoft Corporation
  • IBM Corp.
  • Amazon Web Services
  • Cloudera, Inc.
  • Hortonworks
  • MAPR TECHNOLOGIES
  • Emc Corp.
  • Mortar Data Inc.
  • Altiscale

図表

目次
Product Code: IC 14489

Hadoop-as-a-Service (HaaS/HDaaS), is a novel term that defines virtual storage and analysis of data on the cloud. Also termed as “hadoop in the cloud,” HaaS has emerged as a replacement to On-premises hadoop. It comprises of data storage in the cloud and its analysis through hadoop without the need to install any infrastructure in the premises. HaaS market has witnessed a tremendous growth in 2013 and has doubled from the market size in 2012. HaaS market is evolving and current users include SaaS providers, social media companies, and gaming companies. The technology is yet to enter into the mainstream commercial market. However, it is expected to witness a tremendous growth in the next 7 years, expanding its horizon into the end user industries of conventional hadoop.

Amazon Web Services (AWS) holds lion's share in the market, holding nearly 90% of the global market. Amazon Elastic MapReduce (EMR) is the HaaS service by AWS. It provides hadoop based platform for data analysis with S3 as the storage system and EC2 as the compute system. Microsoft HDInsight, Cloudera CDH3, IBM Infoshpere BigInsights, EMC GreenPlum HD and Windows Azure HDInsight Service are the primary HaaS services by global IT giants. Altiscale is another player in the market with a comparatively minimal share in the market; however, holds potential to compete with the existing companies. Altiscale and Quobole are the two managed or Pure Play HaaS providers. Contrary to AWS, they provide complete running and management of the hadoop jobs.

Global HaaS market is segmented into Pure Play and Run It Yourself based on deployment options available to the customers. Run IT Yourself (RIY) type of deployment is the most prominently used service in the current scenario. Further, the market is analyzed and estimated based on regions such as North America, Asia Pacific, Europe and LAMEA. North America is the leading region followed by Europe and Asia Pacific in the overall HaaS market.

KEY BENEFITS

  • Analysis of the Hadoop-as-a-Service market segmented into deployment types, end users and geography is expounded in the report
  • Identification of the various factors that are enhancing and restraining adoption of cloud based hadoop would help the market players in understanding the current market scenario and future prospects
  • Qualitative as well as quantitative analysis of the current market scenario coupled with future estimations through 2014-2020 would help stakeholders take strategic, actionable and profitable decisions
  • Strategic analysis of future prospects of HaaS in Asia Pacific would assist in taking region specific decisions
  • Porter's five forces model helps to understand the bargaining power of buyers and suppliers and threat of the new entrants
  • Identification and analysis of the captivating strategies adopted by key market players such as Amazon Web Services, Microsoft, IBM, EMC Corp., Altiscale and others is conducted, which would assist the stakeholders to gain competitive advantages

KEY MARKET SEGMENTS

Hadoop-as-a-Service market is segmented based on deployment types, end users and geography

MARKET BY DEPLOYMENT TYPES

  • Run It Yourself (RIY)
  • Pure Play (PP)

MARKET BY END USER

  • Manufacturing Industry
  • BFSI
  • Retail Industry
  • Telecommunications Industry
  • Healthcare Industry
  • Government Sector
  • Media & Entertainment
  • Trade & Transportation
  • IT & ITES

MARKET BY GEOGRAPHY

  • North America
    • North America end user market
    • Manufacturing Industry
    • BFSI
    • Retail Industry
    • Telecommunications Industry
    • Healthcare Industry
    • Government Sector
    • Media & Entertainment
    • Trade & Transportation
    • IT & ITES
  • Europe
    • Europe end user market
    • Manufacturing Industry
    • BFSI
    • Retail Industry
    • Telecommunications Industry
    • Healthcare Industry
    • Government Sector
    • Media & Entertainment
    • Trade & Transportation
    • IT & ITES
  • Asia Pacific
    • Asia Pacific end user market
    • Manufacturing Industry
    • BFSI
    • Retail Industry
    • Telecommunications Industry
    • Healthcare Industry
    • Government Sector
    • Media & Entertainment
    • Trade & Transportation
    • IT & ITES
  • LAMEA
    • LAMEA end user market
    • Manufacturing Industry
    • BFSI
    • Retail Industry
    • Telecommunications Industry
    • Healthcare Industry
    • Government Sector
    • Media & Entertainment
    • Trade & Transportation
    • IT & ITES

Table of Contents

CHAPTER 1 - INTRODUCTION

  • 1.1. Report Description
  • 1.2. Reason for doing the study
  • 1.3. Key Benefits
  • 1.4. Key Market Segments
  • 1.5. Key Audiences
  • 1.6. Research Methodology
    • 1.6.1. Secondary research
    • 1.6.2. Primary research
    • 1.6.3. Analyst tools and models

CHAPTER 2 - EXECUTIVE SUMMARY

  • 2.1. CXO Perspective

CHAPTER 3 - MARKET BEYOND: WHAT TO EXPECT BY 2025

  • 3.1.1. Moderate growth scenario
  • 3.1.2. Rapid growth scenario
  • 3.1.3. Diminishing growth scenario

CHAPTER 4 - MARKET OVERVIEW

  • 4.1. Market Definition and Scope
  • 4.2. Hadoop - An Introduction
  • 4.3. Apache Hadoop - Evolution
  • 4.4. Big data current market scenario
  • 4.5. Defining HaaS - Clearing the Cloud
  • 4.6. Real-time processing/analytics and HaaS
  • 4.7. Proprietary Vs Open Source Hadoop - Where is the future for vendors?
    • 4.7.1. Pros and Cons of Proprietary and Open Source Hadoop - Vendor Perspective
      • 4.7.1.1. Open-Source Hadoop - Pros and Cons
      • 4.7.1.2. Proprietary Hadoop - Pros and Cons
  • 4.8. Elastic Map Reduce (EMR) - HaaS by Amazon Web Services
  • 4.9. On-Premises Hadoop Cluster and Amazon EMR - Case Study
  • 4.10. Hadoop Ecosystem
  • 4.11. Key needs of the customers from HaaS providers
  • 4.12. Hadoop as a Service by - global leaders
  • 4.13. Why Hadoop-as-a-Service?
    • 4.13.1. HaaS: Key Benefits for enterprises
  • 4.14. Hadoop-as-a-Service - Pricing Models
    • 4.14.1. Freemium
    • 4.14.2. Pay-per-use
    • 4.14.3. Subscription based
  • 4.15. Monetizing model implemented by HaaS providers
    • 4.15.1. Per node cost
    • 4.15.2. MapReduce cost
    • 4.15.3. Software usage per hour
    • 4.15.4. Storage cost
    • 4.15.5. Data Transfer cost
    • 4.15.6. Processing cost
  • 4.16. Hadoop Distributed File System
  • 4.17. Future of HaaS in Asia Pacific
  • 4.18. Key findings
    • 4.18.1. Top Factors Hadoop as a service market market
    • 4.18.2. Top Investment Pockets
    • 4.18.3. Top winning strategies
  • 4.19. Porter's five force analysis
    • 4.19.1. Higher switching cost raises the power of suppliers
    • 4.19.2. Differentiation in products lowers the buyer power
    • 4.19.3. Significant brand loyalty decreases the rivalry
    • 4.19.4. Threat of new entrants is high as location is not an issue
    • 4.19.5. Threat of internal substitution is moderate and complete HaaS substitution is low
  • 4.20. Case Studies
  • 4.21. Market Dynamics
    • 4.21.1. Drivers
      • 4.21.1.1. Dropping price of cloud services
    • 4.21.2. Restraints
      • 4.21.2.1. Data Privacy
      • 4.21.2.2. Lack of maturity of hadoop and awareness among consumers
    • 4.21.3. Opportunities
      • 4.21.3.1. Partnerships and fundings taking place in Hadoop Market
      • 4.21.3.2. Rise in consumer awareness

CHAPTER 5 - GLOBAL HAAS MARKET BY DEPLOYMENT OPTIONS

  • 5.1. Run-it-Yourself (RIY)
    • 5.1.1. Key Trends
    • 5.1.2. Competitive Scenario
    • 5.1.3. Market Size
  • 5.2. Pure Play/Managed HaaS
    • 5.2.1. Key Trends
    • 5.2.2. Competitive Scenario
    • 5.2.3. Market Size

CHAPTER 6 - GLOBAL HAAS MARKET BY END USER

  • 6.1. Manufacturing Industry
  • 6.2. BFSI
  • 6.3. Retail Industry
  • 6.4. Telecommunications Industry
  • 6.5. Healthcare Industry
  • 6.6. Government Sector
  • 6.7. Media & Entertainment
  • 6.8. Trade & Transportation
  • 6.9. IT & ITES

CHAPTER 7 - HAAS MARKET BY GEOGRAPHY

  • 7.1. North America
    • 7.1.1. HaaS End User Market Size
  • 7.2. Europe
    • 7.2.1. HaaS End User Market Size
  • 7.3. Asia Pacific
    • 7.3.1. HaaS End User Market Size
  • 7.4. LAMEA
    • 7.4.1. Market Size

CHAPTER 8 - COMPANY PROFILES

  • 8.1. Microsoft Corporation
    • 8.1.1. Company overview
    • 8.1.2. Company snapshot
    • 8.1.3. Business performance
    • 8.1.4. Strategic moves and developments
    • 8.1.5. SWOT ANALYSIS OF MICROSOFT CORPORATION
  • 8.2. IBM Corp.
    • 8.2.1. Company overview
    • 8.2.2. Company snapshot
    • 8.2.3. Business performance
    • 8.2.4. Strategic moves and developments
    • 8.2.5. SWOT ANALYSIS OF IBM CORPORATION
  • 8.3. Amazon Web Services
    • 8.3.1. Company overview
    • 8.3.2. Company snapshot
    • 8.3.3. Business performance
    • 8.3.4. Strategic moves and developments
      • 8.3.4.1. Principal Strategy: product launch
      • 8.3.4.2. Secondary strategy: partnerships
    • 8.3.5. SWOT analysis & strategic conclusion
  • 8.4. Cloudera, Inc.
    • 8.4.1. Company overview
    • 8.4.2. Company. snapshot
    • 8.4.3. Business performance
    • 8.4.4. Strategic moves and developments
      • 8.4.4.1. Principal Strategy: Partnership
      • 8.4.4.2. Secondary Strategy: Product Launch
    • 8.4.5. SWOT analysis & strategic conclusion
  • 8.5. Hortonworks
    • 8.5.1. Company overview
    • 8.5.2. Company snapshot
    • 8.5.3. Business performance
    • 8.5.4. Strategic moves and developments
      • 8.5.4.1. Principal Strategy:Reseller Agreement
      • 8.5.4.2. Secondary Strategy: Strategic Alliance
    • 8.5.5. SWOT analysis & strategic conclusion
  • 8.6. MAPR TECHNOLOGIES
    • 8.6.1. Company overview
    • 8.6.2. Company snapshot
    • 8.6.3. Business performance
    • 8.6.4. Strategic moves and developments
      • 8.6.4.1. Principal Strategy: Product Launch
      • 8.6.4.2. Secondary Strategy: Expansion
    • 8.6.5. SWOT analysis & strategic conclusion
  • 8.7. Emc Corp.
    • 8.7.1. Company overview
    • 8.7.2. Company snapshot
    • 8.7.3. Business performance
    • 8.7.4. Strategic moves and developments
    • 8.7.5. SWOT analysis & strategic conclusion
  • 8.8. Mortar Data Inc.
    • 8.8.1. Company overview
    • 8.8.2. Company snapshot
    • 8.8.3. Business performance
    • 8.8.4. Strategic moves and developments
    • 8.8.5. SWOT analysis & strategic conclusion
  • 8.9. Altiscale
    • 8.9.1. Company overview
    • 8.9.2. Company snapshot
    • 8.9.3. Business performance
    • 8.9.4. Strategic moves and developments
    • 8.9.5. SWOT analysis & strategic conclusion

LIST OF TABLES

  • TABLE 1: HaaS market by geography, base case, 2020 - 2025 ($Million)
  • TABLE 2: HaaS market by geography, 2020 - 2025 ($Million)
  • TABLE 3: North America HaaS market by geography, 2020 - 2025 ($Million)
  • TABLE 4: Hadoop 1.0.3 Patches
  • TABLE 5: Geographic availability of HDInsight
  • TABLE 6: List of open source programs used in Hadoop ecosystem
  • TABLE 7: Global HaaS market by deployment types, 2013 - 2020 ($million)
  • TABLE 8: Global Run It Yourself HaaS market by geography, 2013 - 2020 ($million)
  • TABLE 9: Global Pure Play HaaS market by geography, 2013 - 2020 ($million)
  • TABLE 10: Global HaaS market by End USERS, 2013 - 2020 ($million)
  • TABLE 11: Global HaaS End USERS market by geography, 2013 - 2020 ($million)
  • TABLE 12: Global HaaS manufactruring industry by geography, 2013 - 2020 ($million)
  • TABLE 13: Global HaaS BFSI industry by geography, 2013 - 2020 ($million)
  • TABLE 14: Global HaaS retail industry by geography, 2013 - 2020 ($million)
  • TABLE 15: Global HaaS telecommunication industry by geography, 2013 - 2020 ($million)
  • TABLE 16: Global HaaS healthcare industry by geography, 2013 - 2020 ($million)
  • TABLE 17: Global HaaS governmnet sector by geography, 2013 - 2020 ($million)
  • TABLE 18: Global HaaS media & entertainment industry by geography, 2013 - 2020 ($million)
  • TABLE 19: Global HaaS trade & transportation industry by geography, 2013 - 2020 ($million)
  • TABLE 20: Global HaaS It & ITES industry by geography, 2013 - 2020 ($million)
  • TABLE 21: North America HaaS end user market, 2013 - 2020 ($million)
  • TABLE 22: Europe HaaS end user market, 2013 - 2020 ($million)
  • TABLE 23: Asia PAcific HaaS end user market, 2013 - 2020 ($million)
  • TABLE 24: LAMEA HaaS end user market, 2013 - 2020 ($million)
  • TABLE 25: Snapshot of Microsoft Corporation
  • TABLE 26: SWOT ANALYSIS OF MICROSOFT CORPORATION
  • TABLE 27: Snapshot of ibm CORP.
  • TABLE 28: SWOT ANALYSIS OF ibm corp.
  • TABLE 29: Snapshot of Amazon Web Services
  • TABLE 30: SWOT ANALYSIS OF AMAZON WEB SERVICES
  • TABLE 31: SNAPSHOT OF CLOUDERA, INC.
  • TABLE 32: SWOT ANALYSIS OF CLOUDERA, INC,
  • TABLE 33: SNAPSHOT OF HORTONWORKS
  • TABLE 34: SWOT ANALYSIS OF HORTONWORKS
  • TABLE 35: SNAPSHOT OF MAPR TECHNOLOGIES
  • TABLE 36: SWOT ANALYSIS OF MAPR TECHNOLOGIES
  • TABLE 37: SNAPSHOT OF EMC CORPORATION
  • TABLE 38: SWOT ANALYSIS OF MARKLOGIC CORPORATION
  • TABLE 39: SNAPSHOT OF mortar data inc.
  • TABLE 40: SWOT ANALYSIS OF Mortar Data Inc
  • TABLE 41: SNAPSHOT OF aLTISCALE
  • TABLE 42: SWOT ANALYSIS OF ALTISCALE

LIST OF FIGURES

  • FIG. 1: HaaS - offered by leading companies
  • FIG. 2: Top impacting factors (2020 - 2025)
  • FIG. 3: Top impacting factors, optimistic case (2020 - 2025)
  • FIG. 4: Top impacting factors, critical case (2020 - 2025)
  • FIG. 5: Hadoop Ecosystem - Popular tools and core hadoop
  • FIG. 6: Amazon EMR Work Process
  • FIG. 7: Bare Metal Hadoop Cluster and Amazon EMR - TCO Comparison
  • FIG. 8: Bare Metal Hadoop and HaaS - Comparison based on experiment conclusions
  • FIG. 9: Hadoop Ecosystem
  • FIG. 10: Big Data Trend - Rise in data (2005 - 2015)
  • FIG. 11: Pricing details of Microsoft HDInsight ($, U.S. East)
  • FIG. 12: Pricing details of Qubole (Hourly Usage)
  • FIG. 13: Qubole HaaS pricing (Monthly Subscription)
  • FIG. 14: Few of the Hadoop as a Service Users
  • FIG. 15: Contribution of SMEs in total GDP of the country (2013)
  • FIG. 16: Top Factors Impacting HaaS market
  • FIG. 17: Issues associated with Hadoop (Consumer's point of view)
  • FIG. 18: Top investment pockets in HaaS END USER market
  • FIG. 19: Top winning strategies
  • FIG. 20: Key Strategies followed by HaaS providers (2012 - 2014)
  • FIG. 21: key areas of Focus
  • FIG. 22: Porter's Five Force Analysis
  • FIG. 23: Worldwide cloud services revenue by size of enterprises (2012 - 2013)
  • FIG. 24: Number of cloud price reductions by providers (2013)
  • FIG. 25: Average size of reduction by service provider (2013)
  • FIG. 26: Number of reductions by service across major providers (2013)
  • FIG. 27: HPaaS service by Netflix - An architectural overview
  • FIG. 28: Big data investments by Industry
  • FIG. 29: Hadoop Usage Plans in European Organizations
  • FIG. 30: Geographical location of respondents
  • FIG. 31: Reasons for low adoption of big data and Hadoop in brazil
  • FIG. 32: Revenue of microsoft corp. by business segments (2013)
  • FIG. 33: Revenue of microsoft corp. by business segments (2012)
  • FIG. 34: Revenue of ibm corp. by business segments (2013)
  • FIG. 35: Revenue of ibm corp. by business segments (2012)
  • FIG. 36: Revenue of Amazon from 2010 to 2012
  • FIG. 37: Revenue of Amazon from U.S. and International business (2010 - 2012)
  • FIG. 38: Revenue generated by Products and Services for Amazon Web services
  • FIG. 39: Revenue generated by Products and Services for cloudera,inc
  • FIG. 40: Revenue generated by Products and Services for HORTONWORKS
  • FIG. 41: Revenue generated by Products and Services for MAPR TECHNOLOGIES
  • FIG. 42: Percentage of EMC II revenue (2013, First Quarter)
  • FIG. 44: Geographical revenue (2013, First Quarter)
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