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World Cognitive Computing Market - Opportunities and Forecasts, 2014 - 2020

World Cognitive Computing Market - Opportunities and Forecasts, 2014 - 2020
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$4,515.00
  • May 29, 2015
  • 127 pages
  • Allied Market Research
Abstract
Cognitive computing market involves self-learning systems that are capable of interacting naturally with people to automate what either humans or machine could perform on their own. Cognitive computing processes are considered as next-generation systems which continually acquire information using the data fed into them and process the complex information. These systems help in making better decisions by understanding the complexity of unstructured data.

Cognitive computing systems use artificial intelligence (AI) and machine learning algorithms which enables them in anticipating new complex problems and model feasible solutions. The big data is increasing rapidly in volume due to massive digitalization of the business activity worldwide. Most of the information received is in the form of unstructured data, such as podcast, images, videos, symbols and natural language. This necessitates the use of a cognitive model that can collate the entire data thereby providing structured output. This helps extending the human expertise in decision making. The above factor will provide major driving force for the growth of this market. Further, cloud based technological advancements, development of hardware and software systems and innovative cognitive experience interfaces would further increase the scope of cognitive computing systems, globally.

These systems involve the application of various disciplines of science such as anthropology, linguistics, psychology, artificial intelligence and neurosciences. Enterprises across the world adopt newer technologies, in order to meet the dominant trends in business requirements resulting in significant productivity improvements across various organizations.

The cognitive computing market is forecast to generate a revenue of $13.7 billion by 2020, growing at a CAGR of 33.1% during 2015 - 2020.

Analysis by Technology

The underlying technology segments comprise of pattern recognition and natural language processing, machine learning, automated reasoning and information retrieval.

Natural language processing technology generated the highest revenue in 2014 and this segment would continue to dominate the industry amid the period 2015-2020. Natural language processing and machine learning have contributed about 44% and 30% of the revenue respectively in the year 2014. Prominent companies are gaining technical expertise in cognitive computing by integrating the various technologies to gain a competitive advantage in the market.

By application

Healthcare, BFSI, security, and retail applications constitute the major applications of these computing systems. Healthcare is the largest segment followed by BFSI. The healthcare segment generated revenue of $745.1million, amounting for around 29% of the total market in 2014. The healthcare segment is driven by recent developments in medical imaging technology which incorporates the application of cognitive analytics to help physicians and nurses in analyzing mammogram images and identifying potential abnormalities areas. The other application areas of cognitive computing systems include, IT & telecom sector, defense, and security. Moreover, other emerging industrial applications are in the domain of travel & tourism, media and entertainment, energy & power and research & education.

By Geography

North America contributed the maximum revenue in the global market, followed by Europe. North America accounted for the maximum adoption of cognitive computing applications, occupying a share of 41.6% in the global market, in 2014. The Cognitive Computing market size for North American region generated a revenue of $1.06 billion in 2014 and would dominate the market during the period 2015 - 2020. Asia-Pacific is expected to become an emerging market for Cognitive Computing systems. The increased adoption of cloud based services, especially in small and medium scale enterprises, results in high growth rate in Asia-Pacific region. Also, apart from Asia-Pacific, LAMEA is expected to be the most lucrative markets in terms of growth, led by the significant developments in the healthcare segment and the insurance sector due to innovations in cognitive analytics technology.

Competitive Analysis

The major market players are leveraging the potential of cognitive analytics technology to achieve new capabilities thereby gaining competitive advantage. Major companies such as Deloitte, PwC, and Accenture are investing their resources in cognitive, data-centric computing. Innovative product launch and technological advancements are the key development strategies adopted by leading companies. They are training their staff using cognitive computing systems which leads to an improvement of overall productivity.

Major companies profiled in the report includes IBM Corporation, Google Incorporation, Nuance Communications Inc, Microsoft Corporation, 3M, Statistical Analysis System (SAS), Hewlett Packard (HP), SAP, Tibco Software and Oracle Corporation.

KEY BENEFITS

The report offers an in depth insight into the market dynamics in terms of current and future market trends.
The report identifies the key drivers and restraints and market opportunities along with their impact on the growth of the market.
Porters five forces analysis and SWOT analysis of prominent companies would help in understanding the strategic moves. This would act as a useful guide for stakeholders and companies in identifying lucrative market avenues and in making in profitable business decisions.
Detailed qualitative and quantitative analysis of the market through 2014 - 2020 to highlight the market potential
Competitive analysis of key market players in terms of major technological upgrades and key organic and inorganic strategies adopted by market leaders adopted by them gain a foothold in the market
Cognitive Computing Market Segmentation and Scope

BY TECHNOLOGY TYPE

Natural Language Processing
Machine Learning
Automated Reasoning
Others (Information Retrieval)
?BY APPLICATIONS

Healthcare
BFSI
Retail
Government (Defense)
IT & Telecom
Security
Others
?BY END USER

Large Enterprises
Small and medium businesses (SMBs)
?Global Market - By Deployment Type

On-Premise Software
Cloud-based Services
?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
List of Figures
List of Tables
Companies Covered