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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, 2019 - 2026
Published Date: November 2019
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Report Code: ALLI-Auto-1S22
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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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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, 2019 - 2026

Code: ALLI-Auto-1S22
Report
November 2019
Pages:128
Allied Market Research
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DESCRIPTION
TABLE OF CONTENT
TABLES & FIGURES

COGNITIVE  COMPUTING MARKET OVERVIEW

The global cognitive computing market size was valued at USD 8.869 billion in 2018, and is projected to reach USD 87.391 Billion by 2026, growing at a CAGR of 31.6% from 2019 to 2026.

Cognitive computing is a next-generation system that interacts in human language and helps experts to make better decisions by understanding the complexity of unstructured data. The global cognitive computing market encompasses technologies such as natural language processing, machine learning, automated reasoning, and information retrieval, which are used in translating unstructured data to sense, infer, and predict the best solution.

There is an increase in the demand for cognitive systems in large organizations and this is expected to increase in SMBs owing to cloud-based services. As cloud-based deployment decreases the cost of deploying cognitive computing in the organization, there is a subsequent increase in the overall demand for cloud-based services. IBM Watson, a leading player operating within the cognitive computing market, is planning to introduce Watson Analytics cloud-based service in the coming years that would boost the adoption of cognitive computing through cloud. Cognitive computing is gaining momentum in the developed countries. This competent factor of cloud-based services is anticipated to act as an opportunity for growth in global cognitive computing market size.

Major factors driving the growth of natural language processing technology segment include increase in big data analytics, developments of machine to machine technologies, and rise in demand for better customer experience. In addition, industries such as BFSI, healthcare, social websites, and e-commerce have witnessed a rapid rise in transaction information and customer data. Aforementioned are factors expected to drive the growth of the market in the coming years. Moreover, NLP technology helps in analyzing unstructured data for improving customer needs, their expectations, and better customer experience. Hence, with help of NLP, organizations get better insights into optimization of business processes, reduction in operational cost and customer perception which in turn is boost growth of the segment in the global cognitive computing market.

In North America, cognitive computing is being extensively implemented across the healthcare sector. U.S. hospitals are working with Watson to facilitate proper treatment of cancer patients as well as to help doctors. This is done by analyzing/studying the past medical records of the patients. Watson is capable of answering questions in natural language thereby contributing in providing best course of treatment to the patients. Aforementioned is trends that boost the adoption of cognitive computing in its cognitive computing market forecast.

The report focuses on the growth prospects, restraints, and market analysis. The study provides Porter’s five forces analysis of the cognitive computing industry to understand the impact of various factors such as bargaining power of suppliers, competitive intensity of competitors, threat of new entrants, threat of substitutes, and bargaining power of buyers on the market.

SEGMENT REVIEW 

The cognitive computing market is segmented on the basis of technology, deployment type, enterprise size, industry vertical, and region. By technology, it is categorized into natural language processing, machine learning, automated reasoning, and others. On the basis of deployment type, it is divided into on-premise and cloud. Further, on the basis of enterprise size, it is categorized intolarge enterprises and small and medium enterprises. Depending on industry vertical, it is categorized into healthcare, BFSI, retail, government & defense, IT & telecom, energy & power, and others. By region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The market players operating in the cognitive computing market analysis include 3M, Google LLC, Hewlett Packard Enterprise Development LP, International Business Machines Corporation, Microsoft Corporation, Nuance Communications Inc., Oracle Corporation, SAP SE, SAS Institute Inc., and Tibco Software Inc.

TOP IMPACTING FACTORS

The global cognitive computing market is influenced by several factors such as advancement in enabling technology, increase in volume of large complex data, and evolutions in computing platforms. These factors positively impact the market at a significant rate. Moreover, factors that propel the market also includes rise in adoption of big data analytics, need for high-speed computing services, reduced cost of deploying cognitive computing, and increase in trend of cloud-based technology. Cognitive computing technologies has positive impact on business applications, which is expected to be an opportunistic factor of the global market. However, lack of awareness associated with cognitive computing is one of the major factors that is expected to hamper the market growth to a certain extent.

INCREASE IN VOLUME OF LARGE COMPLEX DATA

Rise in cognitive computing market trends such as big data-set implementation among various industries has influenced the growth of the global market. As these data-sets comprise of huge information and traditional data analytic systems are not compatible to compute this information, businesses across the globe are shifting its focus toward the application of cognitive computing systems. This shift also acts as a major factor driving the growth of the global market during the forecast period.

EVOLUTION IN COMPUTING PLATFORMS

Big data technologies have realized the boundaries between batch and real-time processing, which in turn has proliferated the adoption of enterprise cognitive computing as it empowers organizations to deploy data and processes where they reside, based on data governance, financial, and data gravity criteria. As cognitive computing addresses diverse nature and scale of data, it is expected to surge the requirement to support multitemperature data management, also known as data tiering. This facilitates adherence to government policies for storing real-time data on faster, more accessible media, with cooler data tiered to more economical storage. This is expected to boost the adoption of cognitive computing platforms among real-time streaming analytics organizations which in turn is expected to drive market growth in coming years.

KEY BENEFITS FOR STAKEHOLDERS

  • This study includes the cognitive computing market opportunity, trends, analysis, and future estimations to determine the imminent investment pockets.

  • The report presents information related to key drivers, restraints, and opportunities of the cognitive computingindustry.

  • The cognitive computing market shareis quantitatively analyzed from 2018 to 2026 to highlight the financial competency of the industry.

  • Porter’s five forces analysis illustrates the potency of the buyers & suppliers in thecognitive computing market.

 

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 
  • Oracle Corporation.

MARKET SEGMENTATION

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

BY TECHNOLOGY

BY DEPLOYMENT TYPE

  • On-Premise
  • Cloud

BY ENTERPRISE SIZE

  • Large Enterprises
  • Small and Medium Enterprises

BY INDUSTRY VERTICAL

  • Healthcare
  • BFSI
  • Retail
  • Government & Defense
  • IT & Telecom
  • Energy & Power
  • Others

BY REGION

  • North America
    • U.S.
    • Canada
  • Europe 
    • Germany
    • France
    • UK
    • Rest of Europe
  • Asia-Pacific 
    • Japan
    • China
    • India
    • Rest of Asia-Pacific
  • LAMEA
    • Latin America 
    • Middle East
    • Africa

Key Market Players

  • 3M
  • Google LLC 
  • Hewlett Packard Enterprise Development LP
  • International Business Machines Corporation
  • Microsoft Corporation
  • Nuance Communications Inc.
  • Oracle Corporation
  • SAP SE
  • SAS Institute Inc.
  • Tibco Software Inc.

TABLE OF CONTENT

 
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 Corporatio

LIST OF TABLE & FIGURES

 
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 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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