表紙
市場調査レポート

コグニティブコンピューティングの世界市場 (技術、用途、末端利用者、導入形態、地域別) - 市場規模、シェア、動向、企業プロファイル、需要、考察、分析、機会、セグメンテーションおよび予測:2014-2020年

Global Cognitive Computing Market (Technology, Application, End User, Deployment Type and Geography) - Size, Share, Trends, Company Profiles, Demand, Insights, Analysis, Opportunities, Segmentation and Forecast, 2014 - 2020

発行 Allied Market Research 商品コード 332540
出版日 ページ情報 英文 127 Pages
納期: 即日から翌営業日
価格
本日の銀行送金レート: 1USD=105.42円で換算しております。
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コグニティブコンピューティングの世界市場 (技術、用途、末端利用者、導入形態、地域別) - 市場規模、シェア、動向、企業プロファイル、需要、考察、分析、機会、セグメンテーションおよび予測:2014-2020年 Global Cognitive Computing Market (Technology, Application, End User, Deployment Type and Geography) - Size, Share, Trends, Company Profiles, Demand, Insights, Analysis, Opportunities, Segmentation and Forecast, 2014 - 2020
出版日: 2015年05月01日 ページ情報: 英文 127 Pages
概要

コグニティブコンピューティングは、膨大な量の複合的データを処理して企業の生産性を劇的に高める技術であり、人間の言語を交わしながら、ビッグデータの複合性を理解することによって人間のエキスパートを支援し、よりよい意思決定を引き出す次世代のシステムと目されています。コグニティブコンピューティングは人間の言語や非構造化データを処理することが出来るほか、経験による自己学習し、人間と変わらない方法で任務を遂行する能力まで備えています。現在この新鋭技術を活用しているのは、銀行・金融サービス・保険 (BFSI) 、医療、セキュリティ、および小売分野。非構造化データの量的拡大と技術の進歩がコグニティブコンピューティング市場の加速に貢献しています。今後もさらにクラウド利用技術の進化、斬新なハード、ソフトウェア、コグニティブ対応インターフェースの開発に伴って市場機会が発展する見込みです。

当レポートでは、コグニティブコンピューティングの世界市場に注目し、2014-2020年の期間にわたる取引規模の推移を技術形式 (自然言語処理、機械学習、自動推論ほか) 、用途 (医療、銀行・金融サービス・保険、小売、行政防衛、情報技術・電気通信、セキュリティほか) 、末端利用者 (大企業、中小企業) 、導入形態 (クラウド利用サービス、オンプレミスソフトウェア) および地域 (北米、欧州、アジア太平洋地域、中南米・中東・アフリカ) の別に分析・予測するほか、市場発展の推進・抑制要因、産業構造、競合環境、主要参入企業などについての最新情報を集めています。

第1章 イントロダクション

  • レポート内容
  • 調査実施理由
  • レポートの主要利点
  • 主要市場セグメント
  • レポートの推奨利用者層
  • 調査方法
    • 二次情報調査
    • 一次情報取材
    • 分析ツールおよびモデル

第2章 エグゼクティブサマリー

  • 経営首脳の視点
  • 今後2025年までの市場予測 (単位:100万ドル)
    • 基本シナリオ
    • 楽観的シナリオ
    • 危機的シナリオ

第3章 市場概要

  • 市場の定義と範囲
  • 重要所見
    • コグニティブコンピューティング市場に対する最有力影響ファクター
    • コグニティブコンピューティング市場の最有力成功戦略
    • コグニティブコンピューティング市場の最有力投資ポケット
  • Porterのファイブフォース分析
  • バリューチェーン分析
  • 市場シェア分析:2014年
  • 事例研究
  • 市場動態
    • 推進要因
      • 大型複合データの量的拡大
      • インターネット速度の活用
      • ビッグデータ分析
    • 抑制要因
      • コグニティブコンピューティング導入の高コスト
      • 認知の欠如
    • 機会
      • クラウド利用技術の動向
      • 業務用アプリケーションへの影響

第4章 コグニティブコンピューティングの世界市場 - 技術別

  • イントロダクション
    • 市場規模および予測
  • 自然言語処理 (NLP)
    • 重要市場動向
    • 競合状況
    • 重要成長ファクターおよび商機
    • 市場規模および予測
  • 機械学習
    • 重要市場動向
    • 競合状況
    • 重要成長ファクターおよび商機
    • 市場規模および予測
  • 自動推論
    • 重要市場動向
    • 競合状況
    • 重要成長ファクターおよび商機
    • 市場規模および予測
  • その他 (情報検索)
    • 重要市場動向
    • 競合状況
    • 重要成長ファクターおよび商機
    • 市場規模および予測

第5章 コグニティブコンピューティングの世界市場 - 用途別

  • イントロダクション
    • 市場規模および予測
    • 医療
    • 銀行・金融サービス・保険
    • 小売
    • 行政 (防衛)
    • 情報技術・電気通信
    • セキュリティ
    • その他

第6章 コグニティブコンピューティングの世界市場 - 末端利用者別

  • イントロダクション
    • 市場規模および予測
    • 大企業
    • 中小企業

第7章 コグニティブコンピューティングの世界市場 - 導入形態別

  • イントロダクション
    • 市場規模および予測
    • クラウド利用サービス
    • オンプレミスソフトウェア

第8章 コグニティブコンピューティングの世界市場 - 地域別

  • イントロダクション
  • 北米
  • 欧州
  • アジア太平洋地域
  • 中南米、中東・アフリカ

第9章 企業プロファイル (企業概要、企業寸評、業績、戦略的動き・展開、SWOT分析など)

  • International Business Machines Corporation (IBM)
  • Google Incorporation
  • Microsoft Corporation
  • Nuance Communications Inc.
  • 3M
  • Hewlett Packard (HP)
  • Statistical Analysis System (SAS)
  • SAP
  • Tibco Software
  • Oracle Corporation
目次
Product Code: IC 15677

Cognitive computing processes extraordinary volumes of complex data and dramatically enhances the productivity levels in enterprises. Cognitive computing is considered as a next-generation system that interacts in human language and helps human experts to make better decisions by understanding the complexity of big data. Cognitive computing can process human language, unstructured data and can even self-learn by experience and perform tasks similar to the ones done by humans. In the current scenario, big data is increasing due to digitalization and most of the data is received in unstructured form such as images, videos, natural language and symbols. Cognitive computing, with the help of different technologies such as natural language processing, machine learning and automated reasoning, translates unstructured data to sense, and infers and predicts the best solution. Cognitive computing is majorly used in BFSI, healthcare, security, and retail applications. Increasing volume of unstructured data and advancements in technology largely drive the cognitive computing market. Cloud based technological advancements, development of innovative hardware and software systems and cognitive experience interfaces would further create opportunities for the cognitive computing market.

The market for cognitive computing is segmented on the basis of technology, applications, end user, deployment type and geography. Natural language processing technology accounted for the maximum revenue share in 2014 and this segment would continue to dominate during the forecast period (2015-2020). Natural language processing and machine learning have generated nearly 44% and 30% of the revenue respectively, in 2014. Retail and security would be the fastest growing application segments registering CAGR of 35.8% and 36.5% respectively, during the forecast period.

The key players in the market are acquiring specialized technology companies to gain technical expertise in order to develop innovative solutions. In March 2015, IBM acquired AlchemyAPI, one of the leading providers of scalable API services and deep learning technology, which would aid the development of IBM's next generation cognitive computing applications. In Jan 2014, Google acquired the cognitive computing start-up DeepMind with the aim to integrate DeepMind's NLP technology into its core search product for better understanding the queries written in a natural language.

Key players of the cognitive computing market are IBM Corporation, Google Incorporation, Microsoft Corporation, Nuance Communications Inc., 3M, Hewlett Packard (HP), Statistical Analysis System (SAS), SAP, Tibco Software and Oracle Corporation.

KEY BENEFITS

  • The report provides an in depth analysis of the cognitive computing market and offers current and future trends to identify lucrative investment pockets in the market
  • The report identifies the key drivers, opportunities and restraints along with their impact analysis
  • Porter's five forces analysis provides a clear idea regarding the potency of the buyers and suppliers participating in this market. This would further lend competitive advantage to the stakeholders in making profitable business decisions
  • Current and future trends are outlined to determine the overall attractiveness and figure out profitable trends in order to gain a stronger foothold in the market
  • A detailed qualitative and quantitative analysis of the market through 2014-2020 is provided to highlight the market potential

MARKET SEGMENTATION

The market is segmented on the basis of technology, application, end user, deployment type and geography.

  • Global Cognitive Computing Market - By Technology Type
    • Natural Language Processing
    • Machine Learning
    • Automated Reasoning
    • Others (Information Retrieval)
  • Global Cognitive Computing Market - By Applications
    • Healthcare
    • BFSI
    • Retail
    • Government (Defense)
    • IT & Telecom
    • Security
    • Others (Travel & Tourism, Media and Entertainment, Energy & Power, Research & Education)
  • Global Cognitive Computing Market - By End User
    • Large Enterprises
    • Small and medium businesses (SMBs)
  • Global Cognitive Computing Market - By Deployment Type
    • On-Premise Software
    • Cloud-based Services
  • Global Cognitive Computing Market - By Geography
    • North America
    • Europe
    • Asia-Pacific
    • LAMEA

Table of Contents

CHAPTER 1-INTRODUCTION

  • 1.1. Report Description
  • 1.2. Reasons 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
  • 2.2. Market Beyond: What to Expect by 2025($Million)
    • 2.2.1. Base Case Scenario
    • 2.2.2. Optimistic Case Scenario
    • 2.2.3. Critical Case Scenario

CHAPTER 3-MARKET OVERVIEW

  • 3.1. Market Definition and Scope
  • 3.2. Key Findings
    • 3.2.1. Top Factors Impacting the Cognitive Computing Market
    • 3.2.2. Top Winning Strategies of Cognitive Computing Market
    • 3.2.3. Top Investment Pockets of Cognitive Computing Market
  • 3.3. Porters Five Forces
    • 3.3.1. Differentiated Products and Low Threat of Backward Integration Increases Bargaining Power of the Suppliers
    • 3.3.2. High Switching Cost and Lack of Substitute Leads to Low Bargaining Power of Buyer
    • 3.3.3. High Switching Cost and Lack of alternatives Lowers the Threat of Substitutes
    • 3.3.4. Presence of Dominating Players and Well-Known Brands Reduces the Threat of New Entrant
    • 3.3.5. Limited Number of Suppliers and Brand Loyalty Amongst Buyers Leads to Moderate Competitive Rivalry in the Market
  • 3.4. Value Chain Analysis
  • 3.5. Market Share Analysis, 2014
  • 3.6. Case Study
  • 3.7. Market Dynamics
    • 3.7.1. Drivers
      • 3.7.1.1. Increasing Volume of Large Complex Data
      • 3.7.1.2. Harnessing Internet Speed
      • 3.7.1.3. Big Data Analytics
    • 3.7.2. Restraints
      • 3.7.2.1. High Cost of Deploying Cognitive Computing System
      • 3.7.2.2. Lack of Awareness
    • 3.7.3. Opportunities
      • 3.7.3.1. Trend of Cloud Based Technology
      • 3.7.3.2. Impact on Business Application

CHAPTER 4-GLOBAL COGNITIVE COMPUTING MARKET BY TECHNOLOGY

  • 4.1. Introduction
    • 4.1.1. Market Size and Forecast
    • 4.1.2. Natural Learning Processing (NLP)
      • 4.1.2.1. Key Market Trends
      • 4.1.2.2. Competitive Scenario
      • 4.1.2.3. Key Growth Factors and Opportunities
      • 4.1.2.4. Market Size and Forecast
    • 4.1.3. Machine Learning
      • 4.1.3.1. Key Market Trends
      • 4.1.3.2. Competitive Scenario
      • 4.1.3.3. Key Growth Factors and Opportunities
      • 4.1.3.4. Market Size and Forecast
    • 4.1.4. Automated Reasoning
      • 4.1.4.1. Key Market Trends
      • 4.1.4.2. Competitive Scenario
      • 4.1.4.3. Key Growth Factors and Opportunities
      • 4.1.4.4. Market Size and Forecast
    • 4.1.5. Others (Information Retrieval)
      • 4.1.5.1. Key Market Trends
      • 4.1.5.2. Competitive Scenario
      • 4.1.5.3. Key Growth Factors and Opportunities
      • 4.1.5.4. Market Size and Forecast

CHAPTER 5-GLOBAL COGNITIVE COMPUTING MARKET BY APPLICATION

  • 5.1. Introduction
    • 5.1.1. Market Size and Forecast
    • 5.1.2. Healthcare
      • 5.1.2.1. Market Size and Forecast
    • 5.1.3. BFSI
      • 5.1.3.1. Market Size and Forecast
    • 5.1.4. Retail
      • 5.1.4.1. Market Size and Forecast
    • 5.1.5. Government (Defence)
      • 5.1.5.1. Market Size and Forecast
    • 5.1.6. IT & Telecom
      • 5.1.6.1. Market Size and Forecast
    • 5.1.7. Security
      • 5.1.7.1. Market Size and Forecast
    • 5.1.8. Others (Travel & Tourism, Media and Entertainment, Energy & Power, Research & Education)
      • 5.1.8.1. Market Size and Forecast

CHAPTER 6-GLOBAL COGNITIVE COMPUTING MARKET BY END USER

  • 6.1. Introduction
    • 6.1.1. Market Size and Forecast
    • 6.1.2. Large Enterprises
      • 6.1.2.1. Market Size and Forecast
    • 6.1.3. Small and Medium Businesses (SMBs)
      • 6.1.3.1. Market Size and Forecast

CHAPTER 7-GLOBAL COGNITIVE COMPUTING MARKET BY DEPLOYMENT TYPE

  • 7.1. Introduction
    • 7.1.1. Market Size and Forecast
    • 7.1.1. Cloud Based Services
      • 7.1.1.1. Key Market Trends
      • 7.1.1.2. Competitive Scenario
      • 7.1.1.3. Key Growth Factors and Opportunities
      • 7.1.1.4. Market Size and Forecast
    • 7.1.2. On-Premise Software
      • 7.1.2.1. Key Market Trends
      • 7.1.2.2. Competitive Scenario
      • 7.1.2.3. Key Growth Factors and Opportunities
      • 7.1.2.4. Market Size and Forecast

CHAPTER 8-GLOBAL COGNITIVE COMPUTING MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. Key Market Trends
    • 8.2.2. Competitive Scenario
    • 8.2.3. Key Growth Factors and Opportunities
    • 8.2.4. Market Size and Forecast
  • 8.3. Europe
    • 8.3.1. Key Market Trends
    • 8.3.2. Competitive Scenario
    • 8.3.3. Key Growth Factors and Opportunities
    • 8.3.4. Market Size and Forecast
  • 8.4. Asia-Pacific
    • 8.4.1. Key Market Trends
    • 8.4.2. Competitive Scenario
    • 8.4.3. Key Growth Factors and Opportunities
    • 8.4.4. Market Size and Forecast
  • 8.5. LAMEA
    • 8.5.1. Key Market Trends
    • 8.5.2. Competitive Scenario
    • 8.5.3. Key Growth Factors and Opportunities
    • 8.5.4. Market Size and Forecast

CHAPTER 9-COMPANY PROFILES

  • 9.1. International Business Machines Corporation (IBM)
    • 9.1.1. Company Overview
    • 9.1.2. Company Snapshot
    • 9.1.3. Business Performance
    • 9.1.4. Strategic Moves and Developments
    • 9.1.5. SWOT Analysis of IBM Corp.
  • 9.2. Google Incorporation
    • 9.2.1. Company Overview
    • 9.2.2. Company Snapshot
    • 9.2.3. Business Performance
    • 9.2.4. Strategic Moves and Developments of Google Incorporation
    • 9.2.5. SWOT Analysis of Google Incorporation
  • 9.3. Microsoft Corporation
    • 9.3.1. Company Overview
    • 9.3.2. Company Snapshot
    • 9.3.3. Business Performance
    • 9.3.4. Strategic Moves and Developments
    • 9.3.6. SWOT Analysis of Microsoft Corporation
  • 9.4. Nuance Communications Inc.
    • 9.4.1. Company Overview
    • 9.4.2. Company Snapshot
    • 9.4.3. Business Performance
    • 9.4.4. Strategic Moves and Development
    • 9.4.5. SWOT Analysis of Nuance Communications Inc.
  • 9.5. 3M
    • 9.5.1. Company Overview
    • 9.5.2. Company Snapshot
    • 9.5.1. Business Performance
    • 9.5.1. Strategic Moves and Development
    • 9.5.2. SWOT Analysis of 3M
  • 9.6. Hewlett Packard (HP)
    • 9.6.1. Company Overview
    • 9.6.2. Company Snapshot
    • 9.6.3. Business Performance
    • 9.6.4. Strategic Moves and Developments
    • 9.6.5. SWOT Analysis of HP
  • 9.7. Statistical Analysis System (SAS)
    • 9.7.1. Company Overview
    • 9.7.2. Company Snapshot
    • 9.7.3. Business Performance
    • 9.7.4. Strategic Moves and Development
    • 9.7.5. SWOT Analysis of SAS
  • 9.8. SAP
    • 9.8.1. Company Overview
    • 9.8.2. Company Snapshot
    • 9.8.3. Business Performance
    • 9.8.4. Strategic Moves and Development
    • 9.8.5. SWOT Analysis of SAP
  • 9.9. Tibco Software
    • 9.9.1. Company Overview
    • 9.9.2. Company Snapshot
    • 9.9.3. Business Performance
    • 9.9.4. Strategic Moves and Development
    • 9.9.5. SWOT Analysis of Tibco Software
  • 9.10. Oracle Corporation
    • 9.10.1. Company Overview
    • 9.10.2. Company Snapshot
    • 9.10.3. Business Performance
    • 9.10.4. Strategic Moves and Development
    • 9.10.5. SWOT Analysis of Oracle Corporation

List of Tables

  • TABLE 1: GLOBAL COGNITIVE COMPUTING MARKET BY GEOGRAPHY, 2014-2020 ($MILLION)
  • TABLE 2: GLOBAL COGNITIVE COMPUTING MARKET BASE CASE SCENARIO, 2020-2025 ($MILLION)
  • TABLE 3: GLOBAL COGNITIVE COMPUTING MARKET OPTIMISTIC CASE SCENARIO, 2020-2025 ($MILLION)
  • TABLE 4: GLOBAL COGNITIVE COMPUTING MARKET CRITICAL CASE SCENARIO, 2020-2025 ($MILLION)
  • TABLE 5: GLOBAL COGNITIVE COMPUTING MARKET BY TECHNOLOGY, 2014-2020 ($MILLION)
  • TABLE 6: NATURAL LANGUAGE PROCESSING MARKET BY GEOGRAPHY, 2014-2020 ($MILLION)
  • TABLE 7: MACHINE LEARNING MARKET BY GEOGARPHY, 2014-2020 ($MILLION)
  • TABLE 8: AUTOMATED REASONING MARKET BY GEOGRAPHY, 2014-2020 ($MILLION)
  • TABLE 9: OTHERS (INFORMATION RETRIEVAL) MARKET BY GEOGRAPHY, 2014-2020 ($MILLION)
  • TABLE 10: GLOBAL COGNITIVE COMPUTING MARKET BY APPLICATION, 2014-2020 ($MILLION)
  • TABLE 11: HEALTHCARE MARKET BY GEOGRAPHY, 2014-2020 ($MILLION)
  • TABLE 12: BFSI MARKET BY GEOGRAPHY, 2014-2020 ($MILLION)
  • TABLE 13: RETAIL MARKET BY GEOGRAPHY, 2014-2020 ($MILLION)
  • TABLE 14: GOVERNMENT (DEFENCE) MARKET BY GEOGRAPHY, 2014-2020 ($MILLION)
  • TABLE 15: IT & TELECOM MARKET BY GEOGRAPHY, 2014-2020 ($MILLION)
  • TABLE 16: SECURITY MARKET BY GEOGRAPHY, 2014-2020 ($MILLION)
  • TABLE 17: OTHERS (TRAVEL & TOURISM, MEDIA AND ENTERTAINMENT, ENERGY & POWER, RESEARCH & EDUCATION) MARKET BY GEOGRAPHY, 2014-2020 ($MILLION)
  • TABLE 18: END USER MARKET BY GEOGRAPHY, 2014-2020 ($MILLION)
  • TABLE 19: LARGE ENTERPRISES MARKET BY GEOGRAPHY, 2014-2020 ($MILLION)
  • TABLE 20: SMALL AND MEDIUM BUSINESSES MARKET BY GEOGRAPHY, 2014-2020 ($MILLION)
  • TABLE 21: GLOBAL COGNITIVE COMPUTING MARKET BY DEPLOYMENT TYPE, 2014-2020 ($MILLION)
  • TABLE 22: ON-PREMISE SOFTWARE MARKET BY GEOGRAPHY, 2014-2020 ($MILLION)
  • TABLE 23: CLOUD BASED SERVICES MARKET BY GEOGRAPHY, 2014-2020 ($MILLION)
  • TABLE 24: NORTH AMERICA MARKET BY TECHNOLOGY, 2014-2020 ($MILLION)
  • TABLE 25: EUROPE MARKET BY TECHNOGY, 2014-2020 ($MILLION)
  • TABLE 26: ASIA-PACIFIC MARKET BY TECHNOLOGY, 2014-2020 ($MILLION)
  • TABLE 27: LAMEA MARKET BY TECHNOLOGY, 2014-2020 ($MILLION)
  • TABLE 28: SNAPSHOT OF IBM CORPORATION
  • TABLE 29: SNAPSHOT OF GOOGLE INCORPORATION COMPANY
  • TABLE 30: SNAPSHOT OF MICROSOFT CORPORATION COMPANY
  • TABLE 31: SNAPSHOT OF NUANCE COMMUNICATIONS INC.COMPANY
  • TABLE 32: SNAPSHOT OF 3M COMPANY
  • TABLE 33: SNAPSHOT OF HP COMPANY
  • TABLE 34: SNAPSHOT OF SAS INC COMPANY
  • TABLE 35: SNAPSHOT OF SAP
  • TABLE 36: SNAPSHOT OF TIBCO SOFTWARE COMPANY
  • TABLE 37: SNAPSHOT OF ORACLE CORPORATION

List of Figures

  • FIG. 1: TOP IMPACTING FACTORS, BASE CASE SCENARIO (2020-2025)
  • FIG. 2: TOP IMPACTING FACTORS, OPTIMISTIC CASE SCENARIO (2020-2025)
  • FIG. 3: TOP IMPACTING FACTORS, CRITICAL CASE SCENARIO (2020-2025)
  • FIG. 4: TOP IMPACTING FACTORS
  • FIG. 5: TOP WINNING STRATEGIES IN THE COGNITIVE COMPUTING MARKET (2013-2020)
  • FIG. 6: TOP WINNING STRATEGIES (PERCENTAGE COMPARISION) (2013-2020)
  • FIG. 7: TOP INVESTMENT POCKETS
  • FIG. 8: PORTERS FIVE FORCES OF COGNITIVE COMPUTING MARKET
  • FIG. 9: VALUE CHAIN ANALYSIS OF COGNITIVE COMPUTING MARKET
  • FIG. 10: MARKET SHARE ANALYSIS OF COGNITIVE COMPUTING MARKET
  • FIG. 11: REVENUE OF IBM CORP. (2011-2013, $MILLION)
  • FIG. 12: REVENUE OF IBM CORP. BY BUSINESS SEGMENT (2013, $MILLION)
  • FIG. 13: REVENUE OF IBM CORP. BY GEOGRAPHY (2013, $MILLION)
  • FIG. 14: SWOT ANALYSIS OF IBM CORP.
  • FIG. 15: REVENUE OF GOOGLE INCORPORATION (2011-2013, $MILLION)
  • FIG. 16: REVENUE OF GOOGLE INCORPORATION BY PRODUCTS AND SERVICES (2013, $MILLION)
  • FIG. 17: REVENUE OF GOOGLE INCORPORATION BY GEOGRAPHY (2013, $MILLION)
  • FIG. 18: SWOT ANALYSIS OF GOOGLE INCORPORATION
  • FIG. 19: REVENUE OF MICROSOFT CORPORATION (2011-2013, $MILLION)
  • FIG. 20: REVENUE OF MICROSOFT CORPORATION BY PRODUCTS AND SERVICES (2013, $MILLION)
  • FIG. 21: REVENUE OF MICROSOFT CORPORATION BY GEOGRAPHY (2013, $MILLION)
  • FIG. 22: SWOT ANALYSIS OF MICROSOFT CORPORATION
  • FIG. 23: REVENUE OF NUANCE COMMUNICATIONS INC. (2011-2013, $MILLION)
  • FIG. 24: REVENUE OF NUANCE COMMUNICATIONS INC. BY SEGMENT (2013, $MILLION)
  • FIG. 25: SWOT ANALYSIS OF NUANCE COMMUNICATIONS INC.
  • FIG. 26: REVENUE OF 3M (2011 - 2013, $MILLION)
  • FIG. 27: REVENUE OF 3M BY SEGMENT (2013, $MILLION)
  • FIG. 28: REVENUE OF 3M BY GEOGRAPHY (2013, $MILLION)
  • FIG. 29: SWOT ANALYSIS OF 3M COMPANY
  • FIG. 30: REVENUE OF HP (2011 - 2013, $ MILLION)
  • FIG. 31: REVENUE OF HP BY PRODUCTS AND SERVICES (2013, $MILLION)
  • FIG. 32: SWOT ANALYSIS OF HP
  • FIG. 33: REVENUE OF SAS (2011-2013, $MILLION)
  • FIG. 34: REVENUE OF SAS BY REGIONS (2013, $MILLION)
  • FIG. 35: REVENUE OF SAS BY INDUSTRIES (2013, $MILLION)
  • FIG. 36: SWOT ANALYSIS OF SAS
  • FIG. 38: REVENUE OF SAP BY REGIONS (2013, $MILLION)
  • FIG. 39: REVENUE OF SAP BY PRODUCT AND SERVICES (2013, $MILLION)
  • FIG. 40: SWOT ANALYSIS OF SAP
  • FIG. 41: REVENUE OF TIBCO SOFTWARE (2011-2013, $MILLION)
  • FIG. 42: REVENUE OF TIBCO SOFTWARE BY REGIONS (2013, $MILLION)
  • FIG. 43: SWOT ANALYSIS OF TIBCO SOFTWARE
  • FIG. 44: REVENUE OF ORACLE CORPORATION COMPANY (2011-2013, $MILLION)
  • FIG. 45: REVENUE OF ORACLE CORPORATION BY REGIONS (2013, $MILLION)
  • FIG. 46: REVENUE OF ORACLE CORPORATION BY PORTFOLIO (2013, $MILLION)
  • FIG. 47: SWOT ANALYSIS OF ORACLE CORPORATION
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