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