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市場調查報告書

認知式運算的全球市場 (技術,用途,終端用戶,引進形態,各地區) - 市場規模,佔有率,趨勢,企業簡介,需求,考察,分析,機會,市場區隔及預測: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

出版商 Allied Market Research 商品編碼 332540
出版日期 內容資訊 英文 127 Pages
商品交期: 最快1-2個工作天內
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認知式運算的全球市場 (技術,用途,終端用戶,引進形態,各地區) - 市場規模,佔有率,趨勢,企業簡介,需求,考察,分析,機會,市場區隔及預測: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
出版日期: 2015年05月01日 內容資訊: 英文 127 Pages
簡介

認知式運算是可處理龐大的複合性資料,急速提升企業生產率的技術,可一面以人類的語言溝通,透過理解巨量資料的複合性來支援人類的專家,以引出更佳決策之新一代系統。認知式運算除了可處理人類的語言及非結構化資料之外,更可透過經驗來自我學習,具備以不遜於人類的方法達成任務的能力。目前該新銳技術的活用領域有銀行·金融服務·保險(BFSI)、醫療、安全,及零售領域。非結構化資料數量的擴大及技術的進步有助於加速認知式運算市場的成長。今後預測也將隨著雲端利用技術的進化、嶄新的硬、軟體、支援認知的介面的開發下,市場機會將有更進一步的發展。

本報告以認知式運算的全球市場為焦點,依技術形式 (自然地語言處理,機器學習,自動推論及其他) 、用途 (醫療,銀行·金融服務·保險,零售,行政國防,資訊技術·電訊,安全及其他) 、終端用戶 (大企業,中小企業) 、引進形態 (雲端利用服務,本地安裝軟體) 及地區 (北美,歐洲,亞太地區,中南美·中東·非洲) 別分析·預測2014-2020年這段期間交易規模的轉變,並彙整市場發展的推動·阻礙因素,產業結構,競爭環境,主要加入企業等相關的最新資訊。

第1章 簡介

  • 報告內容
  • 調查實施理由
  • 報告的主要優點
  • 主要市場區隔
  • 報告的推薦用戶層
  • 調查方法
    • 二級資訊調查
    • 主要資訊調查採訪
    • 分析工具及模式

第2章 摘要整理

  • 高階主管的觀點
  • 今後到2025年的市場預測 (單位:100萬美元)
    • 基本預期方案
    • 樂觀的方案
    • 危機的方案

第3章 市場概要

  • 市場定義和範圍
  • 重要發現
    • 認知式運算市場最有力影響係數
    • 認知式運算市場最有力成功策略
    • 認知式運算市場最有力投資口袋
  • 波特的五力分析
  • 價值鏈分析
  • 市場佔有率分析:2014年
  • 案例研究
  • 市場動態
    • 推動要素
      • 大型複合資料的數量擴大
      • 網際網路速度的活用
      • 巨量資料分析
    • 阻礙因素
      • 認知式運算引進的高成本
      • 缺乏認知
    • 機會
      • 雲端利用技術趨勢
      • 商務用應用的影響

第4章 認知式運算的全球市場 - 各技術

  • 簡介
    • 市場規模及預測
  • 自然地語言處理 (NLP)
    • 重要市場趨勢
    • 競爭情形
    • 重要成長係數及商機
    • 市場規模及預測
  • 機器學習
    • 重要市場趨勢
    • 競爭情形
    • 重要成長係數及商機
    • 市場規模及預測
  • 自動推論
    • 重要市場趨勢
    • 競爭情形
    • 重要成長係數及商機
    • 市場規模及預測
  • 其他 (資訊搜尋)
    • 重要市場趨勢
    • 競爭情形
    • 重要成長係數及商機
    • 市場規模及預測

第5章 認知式運算的全球市場 - 各用途

  • 簡介
    • 市場規模及預測
    • 醫療
    • 銀行·金融服務·保險
    • 零售
    • 行政 (國防)
    • 資訊技術·電訊
    • 安全
    • 其他

第6章 認知式運算的全球市場 - 終端用戶別

  • 簡介
    • 市場規模及預測
    • 大企業
    • 中小企業

第7章 認知式運算的全球市場 - 引進不同形態

  • 簡介
    • 市場規模及預測
    • 雲端利用服務
    • 本地安裝軟體

第8章 認知式運算的全球市場 - 各地區

  • 簡介
  • 北美
  • 歐洲
  • 亞太地區
  • 中南美,中東·非洲

第9章 企業簡介 (企業概要,企業短評,業績,策略性動向·發展,SWOT分析等)

  • 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
目錄
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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