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Cognitive Computing Market by Technology (Natural Language Processing, Machine Learning, Automated Reasoning and Others) and Application (Healthcare, BFSI, Retail, Government, IT & Telecom and Security) - Global Opportunity Analysis and Industry Forecast, 2014 - 2020

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Pages: 128
May 2015 | 5491 Views
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Author's : Swapnil Shende and Rachna Singh
Tables: 37
Charts: 46
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Cognitive Computing Market Overview:

Global Cognitive Computing Market is expected to generate revenue of $13.8 billion by 2020, registering a CAGR of 33.1% during the forecast period of 2015 - 2020. Cognitive computing helps to process volumes of complex data, thereby inadvertently enhancing the enterprise's productivity levels. Cognitive computing is considered as a next-generation system that converses in human language and helps experts to make better decisions by understanding the complexities of big data. In the current scenario, most of the data received is unstructured 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, infer and predict the best solution.

Cognitive computing is majorly used in BFSI, healthcare, security, retail, e-commerce and other sectors. Increasing volume of unstructured data and advancements in technology are the major driving forces of the cognitive computing market. Cloud-based technological advancements, development of innovative hardware and software systems and cognitive experience interfaces would foster the growth of the cognitive computing market.

Natural language processing is the most prominent technology used in the cognitive computing industry owing to its inherent capacity to process natural language interactions. At present, automated reasoning and information retrieval technologies have limited applications thereby, restricting the growth of natural language processing in the global cognitive computing market. However, these technologies are seeking new trends in artificial intelligence, probabilistic logic, and query searching that would further accelerate the growth of cognitive computing industry in the coming years. Use of cognitive analytics in healthcare and BFSI constitutes major share in the cognitive computing market size by value.

The value chain of cognitive computing market consists of six stages which include data origin, data classification and storage, data analytics, commercial, and consumer. Each intermediary plays a vital role at their point of operation, which, in turn, contributes to the competitive value of the product. The R&D activities, innovations, marketing strategies and aesthetics make considerable value additions to the end-deliverables by each player.

Segment Overview:

The global cognitive computing market is segmented based on technology, applications, end user, deployment type, and geography. The technology segment is further bifurcated into natural language processing, machine learning, automated reasoning and information retrieval. Moreover, the application segment of the cognitive computing market is further classified as healthcare, banking financial services and insurance (BFSI), retail, government (defense), IT & telecom, security and others (travel & tourism, media & entertainment, energy & power, research & education). Deployment type bifurcates the cognitive analytics market into on-premises software and cloud-based services. Large, small and medium enterprises are considered as end users for the cognitive computing industry.

Natural language processing technology accounted for maximum revenue share in 2014 and is expected to dominate the cognitive computing market during the forecast period (2015-2020). Healthcare is the largest revenue generating vertical for cognitive computing system, it is followed by BFSI, retail, and security application segment.

Top Factors: Cognitive Computing Technology Market

Top Factors Cognitive Computing Technology Market

Increasing Volume of Large Complex Data

Demand for cognitive systems in the global cognitive computing market is growing by leaps and bounds. Expectedly, this growth would continue throughout the forecast period. Nowadays, enormous data present with business organizations are in the form of human language, videos and pictures which contain valuable information. Hence, to process this data, there is a strong need for cognitive analytic technologies such as NLP and machine learning. In the forecast period, it is expected that the volume of data would increase considerably, which would eventually drive the market growth in terms of revenue. Therefore, increasing demand for cognitive computing systems would affect the overall global cognitive computing market size.

Big Data Analytics

Currently, the cognitive computing industry is witnessing various technological advancements enabled with exceptional features for various industries such as healthcare, banking and financial, research and education, IT and telecom, security and others. This system could help in resolving the world’s most complex data analysis problems by entering into the complexity of big data and exploiting the power of natural language processing, machine learning and automated reasoning technology. Several innovations in the technology, would further help in penetration of big data, thereby fostering the growth of global cognitive computing market in the near future.

Harnessing Internet Speed

With an increasing internet speed, demand for cognitive computing would thereby increase at a rapid pace. In the present market scenario, internet has played a vital role in gathering huge amount of data in the form of images, videos, text and others. Internet is also expected to generate large amounts of data from diverse locations that can be combined very quickly.

Cost in Deploying Cognitive Computing

The complexity in deploying cognitive computing system, is responsible for limiting the growth of the market. Controlling cost is very difficult in the current market scenario as the technology used increases the cost of the cognitive system. However, the complexity and the cost incurred would reduce in coming years with further advancements in technology.

Key Benefits

  • The report provides an in depth analysis of the global 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 helping them to have a better hold on the suppliers and buyers.
  • 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 quantitative analysis of the market through 2014-2020 is provided to highlight the market potential

Cognitive Computing Market Key Segments:

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

By Technology

  • Natural Language Processing
  • Machine Learning
  • Automated Reasoning
  • Others (Information Retrieval)

By Application

  • Healthcare
  • BFSI
  • Retail
  • Government (Defense)
  • IT & Telecom
  • Security
  • Others

By End-User

  • Large Enterprises
  • Small and Medium Businesses (SMBs)

By Deployment Type

  • On-Premises Software
  • Cloud-Based Services

By Geography

  • North America
  • Europe
  • Asia-Pacific
  • LAMEA
 

Chapter: 1 INTRODUCTION

1.1 Report description
1.2 Key benefits
1.3 Key market segmentation
1.4 Research methodology

1.4.1 Secondary research
1.4.2 Primary research
1.4.3 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 analysis

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 products leads to low bargaining power of buyers
3.3.3 High switching cost 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 Studies
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 Natural language processing(NLP)

4.1.1 Key market trends
4.1.2 Competitive scenario
4.1.3 Key growth factors and opportunities
4.1.4 Market size and forecast

4.2 Machine learning

4.2.1 Key market trends
4.2.2 Competitive scenario
4.2.3 Key growth factors and opportunities
4.2.4 Market size and forecast

4.3 Automated reasoning

4.3.1 Key market trends
4.3.2 Competitive scenario
4.3.3 Key growth factors and opportunities
4.3.4 Market size and forecast

4.4 Others (Information retrieval)

4.4.1 Key market trends
4.4.2 Competitive scenario
4.4.3 Key growth factors and opportunities
4.4.4 Market size and forecast

Chapter: 5 GLOBAL COGNITIVE COMPUTING MARKET BY APPLICATION

5.1 Healthcare

5.1.1 Market size and forecast

5.2 BFSI

5.2.1 Market size and forecast

5.3 Retail

5.3.1 Market size and forecast

5.4 Government (Defense)

5.4.1 Market size and forecast

5.5 IT & Telecom

5.5.1 Market Size and Forecast

5.6 Security

5.6.1 Market Size and Forecast

5.7 Others (Travel & Tourism, Media and Entertainment, Energy & Power, Research & Education)

5.7.1 Market Size and Forecast

Chapter: 6 GLOBAL COGNITIVE COMPUTING MARKET BY END USER

6.1 Large enterprises

6.1.1 Market size and forecast

6.2 Small and medium businesses(SMBs)

6.2.1 Market size and forecast

Chapter: 7 GLOBAL COGNITIVE COMPUTING MARKET BY DEPLOYMENT TYPE

7.1 Cloud based services

7.1.1 Key market trends
7.1.2 Competitive scenario
7.1.3 Key growth factors and opportunities
7.1.4 Market size and forecast

7.2 On-premises software

7.2.1 Key market trends
7.2.2 Competitive scenario
7.2.3 Key growth factors and opportunities
7.2.4 Market size and forecast

Chapter: 8 GLOBAL COGNITIVE COMPUTING MARKET BY GEOGRAPHY

8.1 North America

8.1.1 Key market trends
8.1.2 Competitive scenario
8.1.3 Key growth factors and opportunities
8.1.4 Market size and forecast

8.2 Europe

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 Asia-Pacific

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 LAMEA

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

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 Corporation

9.2 Google Inc.

9.2.1 Company overview
9.2.2 Company snapshot
9.2.3 Business performance
9.2.4 Strategic moves and developments
9.2.5 SWOT analysis of Google Inc.

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
9.3.5 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 Company

9.5.1 Company overview
9.5.2 Company snapshot
9.5.3 Business performance
9.5.4 Strategic moves and development
9.5.5 SWOT Analysis of 3M Company

9.6 Hewlett-Packard Development Company, L.P.

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 SAS Institute Inc.

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 Institute Inc.

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, Inc.

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, Inc.

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 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
FIG. 6 TOP WINNING STRATEGIES (PERCENTAGE COMPARISION)
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 CORPORATION 2011-2013, $MILLION
FIG. 12 REVENUE OF IBM CORPORATION BY BUSINESS SEGMENT
FIG. 13 REVENUE OF IBM CORPORATION BY GEOGRAPHY
FIG. 14 SWOT ANALYSIS OF IBM CORPORATION
FIG. 15 REVENUE OF GOOGLE INC. 2011-2013, $MILLION
FIG. 16 REVENUE OF GOOGLE INC. BY PRODUCTS AND SERVICES, 2013
FIG. 17 REVENUE OF GOOGLE INC. BY GEOGRAPHY, 2013
FIG. 18 SWOT ANALYSIS OF GOOGLE INC.
FIG. 19 REVENUE OF MICROSOFT CORPORATION 2011-2013, $MILLION
FIG. 20 REVENUE OF MICROSOFT CORPORATION BY PRODUCTS AND SERVICES
FIG. 21 REVENUE OF MICROSOFT CORPORATION BY GEOGRAPHY
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
FIG. 25 SWOT ANALYSIS OF NUANCE COMMUNICATIONS INC.
FIG. 26 REVENUE OF 3M COMPANY 2011-2013, $MILLION
FIG. 27 REVENUE OF 3M COMPANY BY SEGMENT
FIG. 28 REVENUE OF 3M COMPANY BY GEOGRAPHY
FIG. 29 SWOT ANALYSIS OF 3M COMPANY
FIG. 30 REVENUE OF HP (2011 - 2013, $MILLION)
FIG. 31 SWOT ANALYSIS OF HP
FIG. 32 REVENUE OF SAS INSTITUTE INC. (2011-2013, $MILLION)
FIG. 33 REVENUE OF SAS INSTITUTE INC. BY REGIONS
FIG. 34 REVENUE OF SAS INSTITUTE INC. BY INDUSTRIES
FIG. 35 SWOT ANALYSIS OF SAS INSTITUTE INC.
FIG. 36 REVENUE OF SAP (2011-2013, $MILLION)
FIG. 37 REVENUE OF SAP BY REGIONS
FIG. 38 REVENUE OF SAP BY PRODUCT AND SERVICES
FIG. 39 SWOT ANALYSIS OF SAP
FIG. 40 REVENUE OF TIBCO SOFTWARE, INC. (2011-2013, $MILLION)
FIG. 41 REVENUE OF TIBCO SOFTWARE, INC. BY REGIONS (2013, $MILLION)
FIG. 42 SWOT ANALYSIS OF TIBCO SOFTWARE, INC.
FIG. 43 REVENUE OF ORACLE CORPORATION (2011-2013, $MILLION)
FIG. 44 REVENUE OF ORACLE CORPORATION BY REGIONS
FIG. 45 REVENUE OF ORACLE CORPORATION BY SEGMENT
FIG. 46 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 ($MILLION)
TABLE 18 GLOBAL COGNITIVE COMPUTING MARKET END USER, 2014-2020 ($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 ($MILLION)
TABLE 22 CLOUD BASED SERVICES MARKET BY GEOGRAPHY, 2014-2020 ($MILLION)
TABLE 23 ON-PREMISES 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 INC.
TABLE 30 SNAPSHOT OF MICROSOFT CORPORATION
TABLE 31 SNAPSHOT OF NUANCE COMMUNICATIONS INC.
TABLE 32 SNAPSHOT OF 3M COMPANY
TABLE 33 SNAPSHOT OF HP
TABLE 34 SNAPSHOT OF SAS INSTITUTE INC.
TABLE 35 SNAPSHOT OF SAP
TABLE 36 SNAPSHOT OF TIBCO SOFTWARE, INC.
TABLE 37 SNAPSHOT OF ORACLE CORPORATION

 

Cognitive computing involves systems that mimic the human brain, learn through experiences and find correlations. The global cognitive computing market would witness exponential growth during the forecast period 2015–2020. This market is gaining significant acceptance from commercial users and are prominently being installed in large enterprises, which majorly use cognitive computing to process their dark data. Cognitive computing is mostly used in healthcare, banking & finance, research & education, defense, IT & telecom, and security application. The usage of cognitive computing in Healthcare is anticipated to be the highest throughout the forecast period. Cognitive computing, with the help of natural language and machine learning technologies, enables the organizations in improving the productivity by providing predictive analytics. This ability of cognitive computing would fuel its growth among all the applications. 

The scope of the cognitive computing market is currently promising in North America and Europe, whereas the Asia-Pacific market is expected to be the fastest growing market by 2020. The growth would primarily be driven by the increasing volumes of dark data, increasing trend of cloud-based technology and big data analytics. Natural language processing is the most prominent technology used in cognitive computing due to its capability to process natural language interactions. Natural language processing is the highest revenue-generating technology, followed by Machine learning. These technologies are widely used due to their increasing usage in various fields such as genetics, health records, research and education, finance and security. 

Key players are developing innovative cognitive computing systems such as Microsoft’s “Project ADAM”, Google’s “Google Brain” and others. Acquisition, collaboration and product launches are the prominent strategies adopted by different companies in order to remain competitive. These strategies are primarily aimed at expanding their product offerings and global reach. The key market players such as IBM, Google, Microsoft Corporation and Oracle are analyzed in the report.
                

 

 

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