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市場調查報告書

Hadoop-as-a-Service (HaaS)(發展的種類、終端用戶、地區)的全球市場:規模、佔有率、全球趨勢、企業簡介、需求、考察、分析、調查、報告、機會、市場區隔、預測

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

出版商 Allied Market Research 商品編碼 310285
出版日期 內容資訊 英文 145 Pages
商品交期: 最快1-2個工作天內
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Hadoop-as-a-Service (HaaS)(發展的種類、終端用戶、地區)的全球市場:規模、佔有率、全球趨勢、企業簡介、需求、考察、分析、調查、報告、機會、市場區隔、預測 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
出版日期: 2014年08月14日 內容資訊: 英文 145 Pages
簡介

Hadoop-as-a-Service (HaaS),定義為雲端上的虛擬記憶與資料分析的新用語,基礎設施的引進,替代內部部署的Hadoop而登場。Hadoop市場2013年比前一年的市場規模倍增繼續成長。

本報告提供全球Hadoop-as-a-Service (HaaS)市場相關調查分析、市場概要、開發的種類、終端用戶、各地區的考察、主要企業簡介等相關彙整。

第1章 簡介

第2章 摘要整理

第3章 市場預測

  • 中度成長方案
  • 急速成長方案
  • 低成長方案

第4章 市場概要

  • 市場定義和範圍
  • Hadoop的簡介
  • Apache Hadoop
  • 巨量資料的目前市場方案
  • HaaS定義
  • 即時處理/分析與HaaS
  • 自家公司VS開放原始碼Hadoop
  • Elastic Map Reduce (EMR) (Amazon)
  • 內部部署Hadoop叢集和Amazon的EMR:案例研究
  • Hadoop的生態系統
  • HaaS供應商客戶的主要的需求
  • 全球主要企業的HaaS
  • 為何是Hadoop-as-a-Service
  • Hadoop-as-a-Service的定價模式
  • HaaS供應商的收益化模式
  • Hadoop分散式文件系統
  • 亞太地區HaaS的未來
  • 主要調查結果
  • 波特的五力分析
  • 案例研究
  • 市場動態

第5章 全球HaaS市場:各發展選擇

  • Run-it-Yourself(RIY)
  • Pure Play/管理HaaS

第6章 全球HaaS市場:各終端用戶

  • 製造業
  • BFSI
  • 零售產業
  • 通訊產業
  • 醫療產業
  • 政府部門
  • 媒體/娛樂
  • 貿易/運輸
  • IT/ITES

第7章 HaaS市場:各地區

  • 北美
  • 歐洲
  • 亞太地區
  • 南美/中東/非洲

第8章 企業簡介

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

圖表

目錄
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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