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市場調査レポート

BDaaS (Big Data-as-a-Service) の世界市場の予測 〜2020年:ソリューションタイプ (HDAAS・DAAS・DAaaS) 別

Big Data as a Service Market by Type of Solutions (Hadoop as a Service, Data as a Service, Data Analytics as a Service) - Global Forecast to 2020

発行 MarketsandMarkets 商品コード 341264
出版日 ページ情報 英文 123 Pages
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BDaaS (Big Data-as-a-Service) の世界市場の予測 〜2020年:ソリューションタイプ (HDAAS・DAAS・DAaaS) 別 Big Data as a Service Market by Type of Solutions (Hadoop as a Service, Data as a Service, Data Analytics as a Service) - Global Forecast to 2020
出版日: 2015年09月28日 ページ情報: 英文 123 Pages
概要

当レポートでは、世界のBDaaS (Big Data-as-a-Service) の市場について調査し、BDaaSの概要、市場の発展の経緯、BDaaS市場の構成とソリューションおよび導入モデルの区分、市場成長への各種影響因子の分析、各種区分・エンドユーザー産業・地域別の主要動向および市場規模の推移と予測、競合環境、主要企業のプロファイルなどをまとめています。

第1章 イントロダクション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 重要考察

  • 魅力的な市場機会
  • BDaaS市場のソリューションとエンドユーズ産業
  • ライフサイクル分析:地域別
  • 市場投資シナリオ

第5章 市場概要

  • イントロダクション
  • 市場区分
  • 市場力学
    • 成長推進因子
    • 成長阻害因子
    • 市場機会
    • 課題
  • 第6章 産業動向
  • バリューチェーン分析
  • ポーターのファイブフォース分析
  • 戦略的ベンチマーキング

第7章 BDaaS市場の分析:ソリューションタイプ別

  • イントロダクション
  • HDaaS (Hadoop as a Service)
  • DaaS (Data as a Service)
  • DAaaS (Data Analytics as a Service)

第8章 BDaaS市場の分析:導入モデル別

  • イントロダクション
  • パブリッククラウド
  • プライベートクラウド
  • ハイブリッドクラウド

第9章 BDaaS市場の分析:組織規模別

  • イントロダクション
  • 中小規模企業
  • 大規模企業

第10章 BDaaS市場の分析:産業別

  • イントロダクション
  • 銀行・金融サービス・保険 (BFSI)
  • 医療・ライフサイエンス
  • 小売・消費財
  • 製造
  • 旅行・ホスピタリティ
  • IT・通信
  • メディア・エンターテインメント
  • 政府
  • その他

第11章 地域分析

  • イントロダクション
  • 北米
  • 欧州
  • アジア太平洋
  • 中東・アフリカ
  • ラテンアメリカ

第12章 競合環境

  • 概要
  • 競合状況・動向
    • 提携・協力・合意
    • 新製品の投入
    • ベンチャー資金
    • 買収

第13章 企業プロファイル

  • イントロダクション
  • AMAZON WEB SERVICES, INC. (AWS)
  • GOOGLE INCORPORATION (GOOGLE)
  • HEWLETT-PACKARD (HP)
  • IBM CORPORATION
  • TERADATA CORPORATION (TERADATA)
  • MICROSOFT CORPORATION
  • ORACLE CORPORATION
  • SAP SE
  • SAS INSTITUTE INC.
  • EMC CORPORATION

第14章 付録

図表

目次
Product Code: TC 3757

Today, there is a tremendous increase of unstructured data across various verticals, such as Banking, Financial Services and Insurance (BFSI), healthcare and life sciences, retails and consumer goods, manufacturing, travel and hospitality, IT and telecommunication, media and entertainment, government, and others. Big data analytics has become the need of the hour for these industries in order to get the complete benefits of the big data analytics results. They are using BDaaS solutions to enhance their customer experience, optimize their business processes, and utilize the insights (generated through big data analytics) in their business strategies and others.

There are various BDaaS solutions that include Hadoop-as-a-Service, Data-as-a-Service, and Data Analytics-as-a-Service.

The Hadoop-as-a-Service is a widely adopted BDaaS solution sponsored by Apache Software Foundation. It is basically a Java-based structure that supports the processing of huge data sets. Data-as-a-Service, which is growing at high pace, utilizes the 3v's (variety, velocity, and volume) of big data to provide better analytical results in the cloud. Data Analytics-as-a-Service offers combined features of Data Visualization-as-a-Service and Data Analytics-as-a-Service and provide results in the form of data visualizations, statics, presentations, and dashboards.

The report consists of the detailed analysis, market sizing, and forecasting for the emerging submarkets of the BDaaS market. The report is segmented on the basis of type of BDaaS solutions, deployment models, organization size, verticals, and regions. The BDaaS market research report analyzes the global adoption trends, future growth potentials, key drivers, competitive outlook, restraints, opportunities, market ecosystem, and emerging technologies in this market.

The BDaaS report is expected to help the market leaders/new entrants in the following ways:

  • 1. The BDaaS report segments the market into type, deployment models, organization size, verticals, and regions thereby comprehensively covering this market. The report further sub-segments the market and provides the closest approximations of the revenue numbers for the overall market.
  • 2. The BDaaS report is expected to help them understand the competitors and gain more insights to enhance their position in the market. Competitive landscape provides detailed study of the competitors' ecosystem and their roles in the market. Besides, the company profiles of the top 10 players in this market are also included in the report where market internals are provided to put them ahead of the competitors.

BDaaS would help understand the overall growth of the market by providing information and analysis on the key market drivers, restraints, challenges, and opportunities.

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. OBJECTIVES OF THE STUDY
  • 1.2. MARKET DEFINITION
  • 1.3. MARKET SCOPE
    • 1.3.1. MARKETS COVERED
    • 1.3.2. YEARS CONSIDERED FOR THE STUDY
    • 1.3.3. CURRENCY
  • 1.4. STAKEHOLDERS

2. RESEARCH METHODOLOGY

  • 2.1. RESEARCH DATA
    • 2.1.1. SECONDARY DATA
      • 2.1.1.1. Key data from secondary sources
    • 2.1.2. PRIMARY DATA
      • 2.1.2.1. Key data from primary sources
      • 2.1.2.2. Key industry insights
      • 2.1.2.3. Breakdown of primaries
  • 2.2. MARKET SIZE ESTIMATION
  • 2.3. MARKET BREAKDOWN AND DATA TRIANGULATION
  • 2.4. ASSUMPTIONS

3. EXECUTIVE SUMMARY

4. PREMIUM INSIGHTS

  • 4.1. ATTRACTIVE MARKET OPPORTUNITIES IN BIG DATA-AS-A-SERVICE MARKET
  • 4.2. BIG DATA-AS-A-SERVICE MARKET: SOLUTION VS. VERTICAL, 2015
  • 4.3. LIFE CYCLE ANALYSIS, BY REGION
  • 4.4. MARKET INVESTMENT SCENARIO

5. MARKET OVERVIEW

  • 5.1. INTRODUCTION
  • 5.2. MARKET SEGMENTATION
  • 5.3. MARKET DYNAMICS
    • 5.3.1. DRIVERS
      • 5.3.1.1. Rise in big data across the globe
      • 5.3.1.2. Rapidly changing enterprise requirements
      • 5.3.1.3. Rise in demand of real-time data analytics
      • 5.3.1.4. Heterogeneity of data
    • 5.3.2. RESTRAINTS
      • 5.3.2.1. Complexity of the projects
      • 5.3.2.2. Lack of big data IT skills
    • 5.3.3. OPPORTUNITIES
      • 5.3.3.1. Increase in demand for the advanced analytics and data warehousing solutions
      • 5.3.3.2. Huge investment in IT sectors by the businesses
    • 5.3.4. CHALLENGES
      • 5.3.4.1. Data consolidation
      • 5.3.4.2. Security and privacy threats

6. INDUSTRY TRENDS

  • 6.1. VALUE CHAIN ANALYSIS
  • 6.2. PORTER'S FIVE FORCES ANALYSIS
    • 6.2.1. THREAT OF NEW ENTRANTS
    • 6.2.2. THREAT OF SUBSTITUTES
    • 6.2.3. BARGAINING POWER OF SUPPLIERS
    • 6.2.4. BARGAINING POWER OF BUYERS
    • 6.2.5. INTENSITY OF RIVALRY
  • 6.3. STRATEGIC BENCHMARKING

7. BIG DATA-AS-A-SERVICE MARKET ANALYSIS, BY TYPE OF SOLUTIONS

  • 7.1. INTRODUCTION
  • 7.2. HADOOP-AS-A-SERVICE (HDAAS)
  • 7.3. DATA-AS-A-SERVICE
  • 7.4. DATA ANALYTICS-AS-A-SERVICE

8. BIG DATA-AS-A-SERVICE MARKET ANALYSIS, BY DEPLOYMENT MODEL

  • 8.1. INTRODUCTION
  • 8.2. PUBLIC CLOUD
  • 8.3. PRIVATE CLOUD
  • 8.4. HYBRID CLOUD

9. BIG DATA-AS-A-SERVICE MARKET ANALYSIS, BY ORGANIZATION SIZE

  • 9.1. INTRODUCTION
  • 9.2. SMALL AND MEDIUM-SIZED BUSINESSES
  • 9.3. LARGE ENTERPRISE

10. BIG DATA-AS-A-SERVICE MARKET ANALYSIS, BY VERTICAL

  • 10.1. INTRODUCTION
  • 10.2. BANKING, FINANCIAL SERVICES AND INSURANCE (BFSI)
  • 10.3. HEALTHCARE AND LIFE SCIENCES
  • 10.4. RETAIL AND CONSUMER GOODS
  • 10.5. MANUFACTURING
  • 10.6. TRAVEL AND HOSPITALITY
  • 10.7. IT AND TELECOMMUNICATION
  • 10.8. MEDIA AND ENTERTAINMENT
  • 10.9. GOVERNMENT
  • 10.10. OTHERS

11. GEOGRAPHIC ANALYSIS

  • 11.1. INTRODUCTION
  • 11.2. NORTH AMERICA (NA)
  • 11.3. EUROPE
  • 11.4. ASIA-PACIFIC
  • 11.5. MIDDLE EAST AND AFRICA
  • 11.6. LATIN AMERICA

12. COMPETITIVE LANDSCAPE

  • 12.1. OVERVIEW
  • 12.2. COMPETITIVE SITUATION AND TRENDS
    • 12.2.1. PARNERSHIPS, COLLABORATIONS, AND AGREEMENTS
    • 12.2.2. NEW PRODUCT LAUNCHES
    • 12.2.3. VENTURE FUNDING
    • 12.2.4. ACQUISITIONS

13. COMPANY PROFILES

  • 13.1. INTRODUCTION
  • 13.2. AMAZON WEB SERVICES, INC. (AWS)
  • 13.3. GOOGLE INCORPORATION (GOOGLE)
  • 13.4. HEWLETT-PACKARD (HP)
  • 13.5. IBM CORPORATION
  • 13.6. TERADATA CORPORATION (TERADATA)
  • 13.7. MICROSOFT CORPORATION
  • 13.8. ORACLE CORPORATION
  • 13.9. SAP SE
  • 13.10. SAS INSTITUTE INC.
  • 13.11. EMC CORPORATION

14. APPENDIX

  • 14.1. KEY INSIGHTS
  • 14.2. DISCUSSION GUIDE
  • 14.3. INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
  • 14.4. AVAILABLE CUSTOMIZATIONS

LIST OF TABLES

  • TABLE 1: GLOBAL BIG DATA-AS-A-SERVICE MARKET SIZE AND GROWTH, 2013-2020 (USD MILLION, Y-O-Y %)
  • TABLE 2: BIG DATA-AS-A-SERVICE MARKET SIZE, BY TYPE OF SOLUTIONS, 2013-2020 (USD MILLION)
  • TABLE 3: HADOOP-AS-A-SERVICE: BIG DATA-AS-A-SERVICE MARKET SIZE, BY VERTICAL, 2013-2020 (USD MILLION)
  • TABLE 4: HADOOP-AS-A-SERVICE: BIG DATA-AS-A-SERVICE MARKET SIZE, BY DEPLOYMENT MODEL, 2013-2020 (USD MILLION)
  • TABLE 5: HADOOP-AS-A-SERVICE: BIG DATA-AS-A-SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2013-2020 (USD MILLION)
  • TABLE 6: HADOOP-AS-A-SERVICE: BIG DATA-AS-A-SERVICE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 7: DATA-AS-A-SERVICE: BIG DATA-AS-A-SERVICE MARKET SIZE, BY VERTICAL, 2013-2020 (USD MILLION)
  • TABLE 8: DATA-AS-A-SERVICE: BIG DATA-AS-A-SERVICE MARKET SIZE, BY DEPLOYMENT MODEL, 2013-2020 (USD MILLION)
  • TABLE 9: DATA-AS-A-SERVICE: BIG DATA-AS-A-SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2013-2020 (USD MILLION)
  • TABLE 10: DATA-AS-A-SERVICE: BIG DATA-AS-A-SERVICE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 11: DATA ANALYTICS-AS-A-SERVICE: BIG DATA-AS-A-SERVICE MARKET SIZE, BY VERTICAL, 2013-2020 (USD MILLION)
  • TABLE 12: DATA ANALYTICS-AS-A-SERVICE: BIG DATA-AS-A-SERVICE MARKET SIZE, BY DEPLOYMENT MODEL, 2013-2020 (USD MILLION)
  • TABLE 13: DATA ANALYTICS-AS-A-SERVICE: BIG DATA-AS-A-SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2013-2020 (USD MILLION)
  • TABLE 14: DATA ANALYTICS-AS-A-SERVICE: BIG DATA-AS-A-SERVICE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 15: BIG DATA-AS-A-SERVICE MARKET SIZE, BY DEPLOYMENT MODEL, 2013-2020 (USD MILLION)
  • TABLE 16: PUBLIC CLOUD DEPLOYMENT MODEL: BIG DATA-AS-A-SERVICE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 17: PUBLIC CLOUD DEPLOYMENT MODEL: BIG DATA-AS-A-SERVICE MARKET SIZE, BY VERTICAL, 2013-2020 (USD MILLION)
  • TABLE 18: PRIVATE CLOUD DEPLOYMENT MODEL: BIG DATA-AS-A-SERVICE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 19: PRIVATE CLOUD DEPLOYMENT MODEL: BIG DATA-AS-A-SERVICE MARKET SIZE, BY VERTICAL, 2013-2020 (USD MILLION)
  • TABLE 20: HYBRID CLOUD DEPLOYMENT MODEL: BIG DATA-AS-A-SERVICE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 21: HYBRID CLOUD DEPLOYMENT MODEL: BIG DATA-AS-A-SERVICE MARKET SIZE, BY VERTICAL, 2013-2020 (USD MILLION)
  • TABLE 22: BIG DATA-AS-A-SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2013-2020 (USD MILLION)
  • TABLE 23: SMALL AND MEDIUM BUSINESSES: BIG DATA-AS-A-SERVICE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 24: LARGE ENTERPRISE: BIG DATA-AS-A-SERVICE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 25: BIG DATA-AS-A-SERVICE MARKET SIZE, BY VERTICAL, 2013-2020 (USD MILLION)
  • TABLE 26: BFSI: BIG DATA-AS-A-SERVICE MARKET SIZE, BY SOLUTION, 2013-2020 (USD MILLION)
  • TABLE 27: BFSI: BIG DATA-AS-A-SERVICE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 28: BFSI: BIG DATA-AS-A-SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2013-2020 (USD MILLION)
  • TABLE 29: HEALTHCARE AND LIFE SCIENCES: BIG DATA-AS-A-SERVICE MARKET SIZE, BY SOLUTION, 2013-2020 (USD MILLION)
  • TABLE 30: HEALTHCARE AND LIFE SCIENCES: BIG DATA-AS-A-SERVICE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 31: HEALTHCARE AND LIFE SCIENCES: BIG DATA-AS-A-SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2013-2020 (USD MILLION)
  • TABLE 32: RETAIL AND CONSUMER GOODS: BIG DATA-AS-A-SERVICE MARKET SIZE, BY SOLUTION, 2013-2020 (USD MILLION)
  • TABLE 33: RETAIL AND CONSUMER GOODS: BIG DATA-AS-A-SERVICE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 34: RETAIL AND CONSUMER GOODS: BIG DATA-AS-A-SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2013-2020 (USD MILLION)
  • TABLE 35: MANUFACTURING: BIG DATA-AS-A-SERVICE MARKET SIZE, BY SOLUTION, 2013-2020 (USD MILLION)
  • TABLE 36: MANUFACTURING: BIG DATA-AS-A-SERVICE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 37: MANUFACTURING: BIG DATA-AS-A-SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2013-2020 (USD MILLION)
  • TABLE 38: TRAVEL AND HOSPITALITY: BIG DATA-AS-A-SERVICE MARKET SIZE, BY SOLUTION, 2013-2020 (USD MILLION)
  • TABLE 39: TRAVEL AND HOSPITALITY: BIG DATA-AS-A-SERVICE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 40: TRAVEL AND HOSPITALITY: BIG DATA-AS-A-SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2013-2020 (USD MILLION)
  • TABLE 41: IT AND TELECOMMUNICATION: BIG DATA-AS-A-SERVICE MARKET SIZE, BY SOLUTION, 2013-2020 (USD MILLION)
  • TABLE 42: IT AND TELECOMMUNICATION: BIG DATA-AS-A-SERVICE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 43: IT AND TELECOMMUNICATION: BIG DATA-AS-A-SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2013-2020 (USD MILLION)
  • TABLE 44: MEDIA AND ENTERTAINMENT: BIG DATA-AS-A-SERVICE MARKET SIZE, BY SOLUTION, 2013-2020 (USD MILLION)
  • TABLE 45: MEDIA AND ENTERTAINMENT: BIG DATA-AS-A-SERVICE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 46: MEDIA AND ENTERTAINMENT: BIG DATA-AS-A-SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2013-2020 (USD MILLION)
  • TABLE 47: GOVERNMENT: BIG DATA-AS-A-SERVICE MARKET SIZE, BY SOLUTION, 2013-2020 (USD MILLION)
  • TABLE 48: GOVERNMENT: BIG DATA-AS-A-SERVICE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 49: GOVERNMENT: BIG DATA-AS-A-SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2013-2020 (USD MILLION)
  • TABLE 50: OTHERS: BIG DATA-AS-A-SERVICE MARKET SIZE, BY SOLUTION, 2013-2020 (USD MILLION)
  • TABLE 51: OTHERS: BIG DATA-AS-A-SERVICE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 52: OTHERS: BIG DATA-AS-A-SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2013-2020 (USD MILLION)
  • TABLE 53: BIG DATA-AS-A-SERVICE MARKET SIZE, BY REGION, 2013-2020 (USD MILLION)
  • TABLE 54: NORTH AMERICA: BIG DATA-AS-A-SERVICE MARKET SIZE, BY SOLUTION, 2013-2020 (USD MILLION)
  • TABLE 55: NORTH AMERICA: BIG DATA-AS-A-SERVICE MARKET SIZE, BY VERTICAL, 2013-2020 (USD MILLION)
  • TABLE 56: EUROPE: BIG DATA-AS-A-SERVICE MARKET SIZE, BY SOLUTION, 2013-2020 (USD MILLION)
  • TABLE 57: EUROPE: BIG DATA-AS-A-SERVICE MARKET SIZE, BY VERTICAL, 2013-2020 (USD MILLION)
  • TABLE 58: ASIA-PACIFIC: BIG DATA-AS-A-SERVICE MARKET SIZE, BY SOLUTION, 2013-2020 (USD MILLION)
  • TABLE 59: ASIA-PACIFIC: BIG DATA-AS-A-SERVICE MARKET SIZE, BY VERTICAL, 2013-2020 (USD MILLION)
  • TABLE 60: MIDDLE EAST AND AFRICA: BIG DATA-AS-A-SERVICE MARKET SIZE, BY SOLUTION, 2013-2020 (USD MILLION)
  • TABLE 61: MIDDLE EAST AND AFRICA: BIG DATA-AS-A-SERVICE MARKET SIZE, BY VERTICAL, 2013-2020 (USD MILLION)
  • TABLE 62: LATIN AMERICA: BIG DATA-AS-A-SERVICE MARKET SIZE, BY SOLUTION, 2013-2020 (USD MILLION)
  • TABLE 63: LATIN AMERICA: BIG DATA-AS-A-SERVICE MARKET SIZE, BY VERTICAL, 2013-2020 (USD MILLION)
  • TABLE 64: NEW PRODUCT LAUNCHES, 2012-2015
  • TABLE 65: VENTURE FUNDING , 2010-2015
  • TABLE 66: ACQUISITIONS, 2012-2015

LIST OF FIGURES

  • FIGURE 1: RESEARCH DESIGN
  • FIGURE 2: MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
  • FIGURE 3: MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
  • FIGURE 4: MARKET BREAKDOWN AND DATA TRIANGULATION
  • FIGURE 5: BIG DATA-AS-A-SERVICE MARKET: ASSUMPTIONS
  • FIGURE 6: THE EVOLUTION OF BIG DATA-AS-A-SERVICE
  • FIGURE 7: NORTH AMERICA HOLDS THE HIGHEST MARKET SHARE FOR 2015
  • FIGURE 8: TOP THREE SEGMENTS FOR BIG DATA-AS-A-SERVICE MARKET
  • FIGURE 9: GROWTH TREND OF BIG DATA-AS-A-SERVICE MARKET (2015-2020)
  • FIGURE 10: BIG DATA-AS-A-SERVICE MARKET: COMPOUND ANNUAL GROWTH RATE OF TOP THREE TYPES OF SOLUTIONS AND VERTICALS
  • FIGURE 11: GEOGRAPHIC LIFECYCLE ANALYSIS (2015): MIDDLE EAST AND AFRICA MARKET IS INCREASING AT THE HIGHEST GROWTH RATE
  • FIGURE 12: MARKET INVESTMENT SCENARIO: MIDDLE EAST AND AFRICA AND LATIN AMERICA RISE AS THE BEST OPPORTUNITY MARKETS FOR INVESTMENT IN THE NEXT FIVE YEARS
  • FIGURE 13: BIG DATA-AS-A-SERVICE MARKET: MARKET SEGMENTATION
  • FIGURE 14: HETEROGENEITY OF DATA AMONG VARIOUS DEPARTMENTS OF THE ORGANIZATIONS IS THE KEY DRIVER IN THIS MARKET
  • FIGURE 15: BIG DATA-AS-A-SERVICE: VALUE CHAIN ANALYSIS
  • FIGURE 16: BIG DATA-AS-A-SERVICE: PORTER'S FIVE FORCES ANALYSIS
  • FIGURE 17: STRATEGIC BENCHMARKING: BIG DATA-AS-A-SERVICE
  • FIGURE 18: HADOOP-AS-A-SERVICE TYPE OF SOLUTIONS SEGMENT HOLDS THE HIGHER MARKET SHARE FOR THE YEAR 2015
  • FIGURE 19: BIG DATA-AS-A-SERVICE MARKET, BY DEPLOYMENT MODEL
  • FIGURE 20: SMALL AND MEDIUM-SIZED BUSINESS SEGMENT HOLDS THE HIGHER MARKET SHARE FOR THE YEAR 2015
  • FIGURE 21: BFSI SEGMENT HOLDS THE LARGEST MARKET SIZE FOR THE YEAR 2015
  • FIGURE 22: NORTH AMERICA HOLDS THE HIGHEST MARKET SHARE FOR THE YEAR 2015
  • FIGURE 23: COMPANIES ADOPTED PARTNERSHIPS, AGREEMENTS AND COLLABORATIONS AS THE KEY GROWTH STRATEGY DURING THE PERIOD 2010-2015
  • FIGURE 24: GOOGLE INC. AND IBM SHOW AN INCREASE IN REVENUE BETWEEN 2012 AND 2014
  • FIGURE 25: PARTNERSHIPS, AGREEMENTS AND COLLABORATIONS IS THE KEY STRATEGY USED BY MAJOR MARKET PLAYERS
  • FIGURE 26: BATTLE FOR MARKET SHARE: PARTNERSHIPS, AGREEMENTS AND COLLABORATIONS IS THE KEY STRATEGY
  • FIGURE 27: GEOGRAPHIC REVENUE MIX OF TOP MARKET PLAYERS
  • FIGURE 28: AMAZON WEB SERVICES, INC. (AWS): SWOT ANALYSIS
  • FIGURE 29: GOOGLE INC.: COMPANY SNAPSHOT
  • FIGURE 30: GOOGLE INC.: SWOT ANALYSIS
  • FIGURE 31: HEWLETT-PACKARD (HP) : COMPANY SNAPSHOT
  • FIGURE 32: HEWLETT-PACKARD (HP): SWOT ANALYSIS
  • FIGURE 33: IBM CORPORATION: COMPANY SNAPSHOT
  • FIGURE 34: IBM CORPORATION: SWOT ANALYSIS
  • FIGURE 35: TERADATA CORPORATION: COMPANY SNAPSHOT
  • FIGURE 36: TERADATA CORPORATION: SWOT ANALYSIS
  • FIGURE 37: MICROSOFT CORPORATION: COMPANY SNAPSHOT
  • FIGURE 38: ORACLE CORPORATION: COMPANY SNAPSHOT
  • FIGURE 39: SAP SE: COMPANY SNAPSHOT
  • FIGURE 40: SAS INSTITUTE INC.: COMPANY SNAPSHOT
  • FIGURE 41: EMC CORPORATION: COMPANY SNAPSHOT
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