Cognitive Computing Market by Technology (Natural Language Processing, Machine Learning, Automated Reasoning, and Others), Deployment Type(On-Premise and Cloud), Enterprise Size (Large Enterprises and Small and Medium Enterprises), and Industry Vertical (Healthcare, BFSI, Retail, Government & Defense, IT & Telecom, Energy & Power, and Others): Global Opportunity Analysis and Industry Forecast, 2019–2026
- ALL3907945
- 287 Pages
- June 2020
- ICT & Media
Cognitive computing is majorly used in BFSI, healthcare, energy & power, retail, e-commerce, and other sectors. Increase in 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 & software systems and cognitive experience interfaces are the factors expected to foster the growth of the cognitive computing market. Recently, in March 2015, IBM acquired AlchemyAPI, one of the leading providers of scalable API services and deep learning technology, which helps in the development of IBM’s next generation cognitive computing applications. Google acquired cognitive computing start-up DeepMind focusing on integrating DeepMind’s NLP technology into its core search product for better understanding of the queries written in a natural language.
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 classified into large 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 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. These major players have adopted various key development strategies such as business expansion, new product launches, and others, which help drive the growth of the global cognitive computing market.
KEY BENEFITS FOR STAKEHOLDERS
• The study provides an in-depth analysis of the current & future trends of the market to elucidate the imminent investment pockets.
• Information about key drivers, restraints, and opportunities and their impact analysis on the global cognitive computing market share is provided.
• Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the cognitive computing industry.
• The quantitative analysis of the market from 2018 to 2026 is provided to determine the global cognitive computing market potential.
KEY MARKET SEGMENTS
By Technology
• Natural Language Processing
• Machine Learning
• Automated Reasoning
• Others
By Deployment Type
• On-Premise
• Cloud
By Enterprise Size
• Large Enterprises
• Small & Medium Enterprises
By Industry Vertical
• Healthcare
• BFSI
• Retail
• Government & Defense
• IT & Telecom
• Energy & Power
• Others
By Region
• North America
o U.S.
o Canada
• Europe
o Germany
o France
o UK
o Rest of Europe
• Asia-Pacific
o Japan
o China
o India
o Rest of Asia-Pacific
• LAMEA
o Latin America
o Middle East
o 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.
1.1.REPORT DESCRIPTION
1.2.KEY BENEFITS FOR STAKEHOLDERS
1.3.KEY MARKET SEGMENTS
1.4.KEY MARKET PLAYERS
1.5.RESEARCH METHODOLOGY
1.5.1.Secondary research
1.5.2.Primary research
1.5.3.Analyst tools & models
CHAPTER 2:EXECUTIVE SUMMARY
2.1.KEY FINDINGS
2.1.1.Top impacting factors
2.1.2.Top investment pockets
2.2.CXO PERSPECTIVE
CHAPTER 3:MARKET OVERVIEW
3.1.MARKET DEFINITION AND SCOPE
3.2.KEY FORCES SHAPING THE GLOBAL COGNITIVE COMPUTING MARKET
3.2.1.Moderate -To-High bargaining power of suppliers
3.2.2.Low-To-High bargaining power of buyers
3.2.3.Low-To-High threat of substitutes
3.2.4.Low threat of new entrants
3.2.5.Low-to-high competitive rivalry
3.3.VALUE CHAIN ANALYSIS
3.3.1.Data origin
3.3.2.Data classification and storage
3.3.3.Analytics
3.3.4.Commercial (Small and Medium Enterprises and small & medium enterprises)
3.4.MARKET DYNAMICS
3.4.1.Drivers
3.4.1.1.Advancement in enabling technology
3.4.1.2.Increase in volume of large complex data
3.4.1.3.Evolutions in computing platforms
3.4.2.Restraints
3.4.2.1.High cost of deploying cognitive computing system
3.4.2.2.Lack of awareness
3.4.3.Opportunities
3.4.3.1.Impact on business application
3.5.INDUSTRY ROADMAP OF COGNITIVE COMPUTING
3.6.IMPACT OF GOVERNMENT REGULATIONS ON THE GLOBAL COGNITIVE COMPUTING MARKET
CHAPTER 4:COGNITIVE COMPUTING MARKET, BY TECHNOLOGY
4.1.OVERVIEW
4.2.NATURAL LANGUAGE PROCESSING
4.2.1.Key market trends, growth factors, and opportunities
4.2.2.Market size and forecast, by region
4.2.3.Market analysis, by country
4.3.MACHINE LEARNING
4.3.1.Key market trends, growth factors, and opportunities
4.3.2.Market size and forecast, by region
4.3.3.Market analysis, by country
4.4.AUTOMATED REASONING
4.4.1.Key market trends, growth factors, and opportunities
4.4.2.Market size and forecast, by region
4.4.3.Market analysis, by country
4.5.OTHERS
4.5.1.Key market trends, growth factors, and opportunities
4.5.2.Market size and forecast, by region
4.5.3.Market analysis, by country
CHAPTER 5:COGNITIVE COMPUTING MARKET, BY DEPLOYMENT TYPE
5.1.OVERVIEW
5.2.ON-PREMISE
5.2.1.Key market trends, growth factors, and opportunities
5.2.2.Market size and forecast, by region
5.2.3.Market analysis, by country
5.3.CLOUD
5.3.1.Key market trends, growth factors, and opportunities
5.3.2.Market size and forecast, by region
5.3.3.Market analysis, by country
CHAPTER 6:COGNITIVE COMPUTING MARKET, BY ENTERPRISE SIZE
6.1.OVERVIEW
6.2.LARGE ENTERPRISES
6.2.1.Key market trends, growth factors, and opportunities
6.2.2.Market size and forecast, by region
6.2.3.Market analysis, by country
6.3.SMALL AND MEDIUM ENTERPRISES
6.3.1.Key market trends, growth factors, and opportunities
6.3.2.Market size and forecast, by region
6.3.3.Market analysis, by country
CHAPTER 7:COGNITIVE COMPUTING MARKET, BY INDUSTRY VERTICAL
7.1.OVERVIEW
7.2.HEALTHCARE
7.2.1.Key market trends, growth factors, and opportunities
7.2.2.Market size and forecast, by region
7.2.3.Market analysis, by country
7.3.BFSI
7.3.1.Key market trends, growth factors, and opportunities
7.3.2.Market size and forecast, by region
7.3.3.Market analysis, by country
7.4.RETAIL
7.4.1.Key market trends, growth factors, and opportunities
7.4.2.Market size and forecast, by region
7.4.3.Market analysis, by country
7.5.GOVERNMENT
7.5.1.Key market trends, growth factors, and opportunities
7.5.2.Market size and forecast, by region
7.5.3.Market analysis, by country
7.6.IT & TELECOM
7.6.1.Key market trends, growth factors, and opportunities
7.6.2.Market size and forecast, by region
7.6.3.Market analysis, by country
7.7.ENERGY & POWER
7.7.1.Key market trends, growth factors, and opportunities
7.7.2.Market size and forecast, by region
7.7.3.Market analysis, by country
7.8.OTHERS
7.8.1.Key market trends, growth factors, and opportunities
7.8.2.Market size and forecast, by region
7.8.3.Market analysis, by country
CHAPTER 8:COGNITIVE COMPUTING MARKET, BY REGION
8.1.OVERVIEW
8.1.1.Market size and forecast, by region
8.2.NORTH AMERICA
8.2.1.Key market trends, growth factors, and opportunities
8.2.2.Market size and forecast, by technology
8.2.3.Market size and forecast, by deployment type
8.2.4.Market size and forecast, by enterprise size
8.2.5.Market size and forecast, by industry vertical
8.2.6.Market analysis, by country
8.2.6.1.U.S.
8.2.6.1.1.Market size and forecast, by technology
8.2.6.1.2.Market size and forecast, by deployment type
8.2.6.1.3.Market size and forecast, by enterprise size
8.2.6.1.4.Market size and forecast, by industry vertical
8.2.6.2.Canada
8.2.6.2.1.Market size and forecast, by technology
8.2.6.2.2.Market size and forecast, by deployment type
8.2.6.2.3.Market size and forecast, by enterprise size
8.2.6.2.4.Market size and forecast, by industry vertical
8.3.EUROPE
8.3.1.Key market trends, growth factors, and opportunities
8.3.2.Market size and forecast, by technology
8.3.3.Market size and forecast, by deployment type
8.3.4.Market size and forecast, by enterprise size
8.3.5.Market size and forecast, by industry vertical
8.3.6.Market analysis, by country
8.3.6.1.Germany
8.3.6.1.1.Market size and forecast, by technology
8.3.6.1.2.Market size and forecast, by deployment type
8.3.6.1.3.Market size and forecast, by enterprise size
8.3.6.1.4.Market size and forecast, by industry vertical
8.3.6.2.France
8.3.6.2.1.Market size and forecast, by technology
8.3.6.2.2.Market size and forecast, by deployment type
8.3.6.2.3.Market size and forecast, by enterprise size
8.3.6.2.4.Market size and forecast, by industry vertical
8.3.6.3.UK
8.3.6.3.1.Market size and forecast, by technology
8.3.6.3.2.Market size and forecast, by deployment type
8.3.6.3.3.Market size and forecast, by enterprise size
8.3.6.3.4.Market size and forecast, by industry vertical
8.3.6.4.Rest of Europe
8.3.6.4.1.Market size and forecast, by technology
8.3.6.4.2.Market size and forecast, by deployment type
8.3.6.4.3.Market size and forecast, by enterprise size
8.3.6.4.4.Market size and forecast, by industry vertical
8.4.ASIA-PACIFIC
8.4.1.Key market trends, growth factors, and opportunities
8.4.2.Market size and forecast, by technology
8.4.3.Market size and forecast, by deployment type
8.4.4.Market size and forecast, by enterprise size
8.4.5.Market size and forecast, by industry vertical
8.4.6.Market analysis, by country
8.4.6.1.Japan
8.4.6.1.1.Market size and forecast, by technology
8.4.6.1.2.Market size and forecast, by deployment type
8.4.6.1.3.Market size and forecast, by enterprise size
8.4.6.1.4.Market size and forecast, by industry vertical
8.4.6.2.China
8.4.6.2.1.Market size and forecast, by technology
8.4.6.2.2.Market size and forecast, by deployment type
8.4.6.2.3.Market size and forecast, by enterprise size
8.4.6.2.4.Market size and forecast, by industry vertical
8.4.6.3.India
8.4.6.3.1.Market size and forecast, by technology
8.4.6.3.2.Market size and forecast, by deployment type
8.4.6.3.3.Market size and forecast, by enterprise size
8.4.6.3.4.Market size and forecast, by industry vertical
8.4.6.4.Rest of Asia-Pacific
8.4.6.4.1.Market size and forecast, by technology
8.4.6.4.2.Market size and forecast, by deployment type
8.4.6.4.3.Market size and forecast, by enterprise size
8.4.6.4.4.Market size and forecast, by industry vertical
8.5.LAMEA
8.5.1.Key market trends, growth factors, and opportunities
8.5.2.Market size and forecast, by technology
8.5.3.Market size and forecast, by deployment type
8.5.4.Market size and forecast, by enterprise size
8.5.5.Market size and forecast, by industry vertical
8.5.6.Market analysis, by country
8.5.6.1.Latin America
8.5.6.1.1.Market size and forecast, by technology
8.5.6.1.2.Market size and forecast, by deployment type
8.5.6.1.3.Market size and forecast, by enterprise size
8.5.6.1.4.Market size and forecast, by industry vertical
8.5.6.2.Middle East
8.5.6.2.1.Market size and forecast, by technology
8.5.6.2.2.Market size and forecast, by deployment type
8.5.6.2.3.Market size and forecast, by enterprise size
8.5.6.2.4.Market size and forecast, by industry vertical
8.5.6.3.Africa
8.5.6.3.1.Market size and forecast, by technology
8.5.6.3.2.Market size and forecast, by deployment type
8.5.6.3.3.Market size and forecast, by enterprise size
8.5.6.3.4.Market size and forecast, by industry vertical
CHAPTER 9:COMPETITIVE LANDSCAPE
9.1.KEY PLAYERS POSITIONING ANALYSIS, 2018
9.2.TOP WINNING STRATEGIES
9.3.COMPETITIVE DASHBOARD
9.4.KEY DEVELOPMENTS
9.4.1.Product launches
9.4.2.Collaboration
9.4.3.Partnership
9.4.4.Product development
9.4.5.Business expansion
9.4.6.Acquisition
9.5.CASE STUDIES
9.5.1.Centre for Computational Statistics and Machine Learning (CSML) with University College London developed a system
9.5.2.Celina Insurance Group utilized machine learning
9.5.3.Deltic’s bars and clubs deployed IBM Watson Assistant
CHAPTER 10:COMPANY PROFILE
10.1.3M
10.1.1.Company overview
10.1.2.Key Executives
10.1.3.Company snapshot
10.1.4.Operating business segments
10.1.5.Product portfolio
10.1.6.R&D expenditure
10.1.7.Business performance
10.1.8.Key strategic moves and developments
10.2.GOOGLE LLC
10.2.1.Company overview
10.2.2.Key Executives
10.2.3.Company snapshot
10.2.4.Product portfolio
10.2.5.R&D expenditure
10.2.6.Business performance
10.2.7.Key strategic moves and developments
10.3.HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
10.3.1.Company overview
10.3.2.Key executives
10.3.3.Company snapshot
10.3.4.Operating business segments
10.3.5.Product portfolio
10.3.6.R&D expenditure
10.3.7.Business performance
10.3.8.Key strategic moves and developments
10.4.INTERNATIONAL BUSINESS MACHINES CORPORATION
10.4.1.Company overview
10.4.2.Key Executives
10.4.3.Company snapshot
10.4.4.Operating business segments
10.4.5.Product portfolio
10.4.6.R&D expenditure
10.4.7.Business performance
10.4.8.Key strategic moves and developments
10.5.MICROSOFT CORPORATION
10.5.1.Company overview
10.5.2.Key executives
10.5.3.Company snapshot
10.5.4.Operating business segments
10.5.5.Product portfolio
10.5.6.R&D expenditure
10.5.7.Business performance
10.5.8.Key strategic moves and developments
10.6.NUANCE COMMUNICATIONS, INC.
10.6.1.Company overview
10.6.2.Key executives
10.6.3.Company snapshot
10.6.4.Operating business segments
10.6.5.Product portfolio
10.6.6.R&D expenditure
10.6.7.Business performance
10.6.8.Key strategic moves and developments
10.7.ORACLE CORPORATION
10.7.1.Company overview
10.7.2.Key Executives
10.7.3.Company snapshot
10.7.4.Operating business segments
10.7.5.Product portfolio
10.7.6.R&D expenditure
10.7.7.Business performance
10.7.8.Key strategic moves and developments
10.8.SAP SE
10.8.1.Company overview
10.8.2.Key Executives
10.8.3.Company snapshot
10.8.4.Operating business segments
10.8.5.Product portfolio
10.8.6.R&D expenditure
10.8.7.Business performance
10.8.8.Key strategic moves and developments
10.9.SAS INSTITUTE INC.
10.9.1.Company overview
10.9.2.Key Executives
10.9.3.Company snapshot
10.9.4.Product portfolio
10.9.5.Business performance
10.10.TIBCO SOFTWARE INC.
10.10.1.Company overview
10.10.2.Key Executives
10.10.3.Company snapshot
10.10.4.Product portfolio
10.10.5.Key strategic moves and developments
TABLE 01.COGNITIVE COMPUTING MARKET REVENUE, BY TECHNOLOGY, 2018-2026 ($MILLION)
TABLE 02.COGNITIVE COMPUTING MARKET REVENUE FOR NATURAL LANGUAGE PROCESSING, BY REGION 2018–2026 ($MILLION)
TABLE 03.COGNITIVE COMPUTING MARKET REVENUE FOR MACHINE LEARNING, BY REGION 2018–2026 ($MILLION)
TABLE 04.COGNITIVE COMPUTING MARKET REVENUE FOR AUTOMATED REASONING, BY REGION 2018–2026 ($MILLION)
TABLE 05.COGNITIVE COMPUTING MARKET REVENUE FOR OTHERS, BY REGION 2018–2026 ($MILLION)
TABLE 06.COGNITIVE COMPUTING MARKET, BY DEPLOYMENT TYPE, 2018–2026 ($MILLION)
TABLE 07.COGNITIVE COMPUTING MARKET REVENUE FOR ON-PREMISE, BY REGION, 2018–2026 ($MILLION)
TABLE 08.COGNITIVE COMPUTING MARKET REVENUE FOR CLOUD, BY REGION, 2018–2026 ($MILLION)
TABLE 09.GLOBAL COGNITIVE COMPUTING MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 10.COGNITIVE COMPUTING MARKET REVENUE FOR LARGE ENTERPRISES, BY REGION 2018–2026 ($MILLION)
TABLE 11.GLOBAL COGNITIVE COMPUTING MARKET REVENUE FOR SMALL AND MEDIUM ENTERPRISES, BY REGION 2018–2026 ($MILLION)
TABLE 12.GLOBAL COGNITIVE COMPUTING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018-2026 ($MILLION)
TABLE 13.COGNITIVE COMPUTING MARKET REVENUE FOR HEALTHCARE, BY REGION 2018–2026 ($MILLION)
TABLE 14.GLOBAL COGNITIVE COMPUTING MARKET REVENUE FOR BFSI, BY REGION 2018–2026 ($MILLION)
TABLE 15.COGNITIVE COMPUTING MARKET REVENUE FOR RETAIL, BY REGION 2018–2026 ($MILLION)
TABLE 16.COGNITIVE COMPUTING MARKET REVENUE FOR GOVERNMENT, BY REGION, 2018–2026 ($MILLION)
TABLE 17.COGNITIVE COMPUTING MARKET REVENUE FOR IT & TELECOM, BY REGION 2018–2026 ($MILLION)
TABLE 18.GLOBAL COGNITIVE COMPUTING MARKET REVENUE FOR ENERGY & POWER, BY REGION, 2018–2026 ($MILLION)
TABLE 19.COGNITIVE COMPUTING MARKET REVENUE FOR OTHERS, BY REGION 2018–2026 ($MILLION)
TABLE 20.GLOBAL COGNITIVE COMPUTING MARKET REVENUE, BY REGION, 2018–2026 ($MILLION)
TABLE 21.NORTH AMERICA COGNITIVE COMPUTING MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 22.NORTH AMERICA COGNITIVE COMPUTING MARKET REVENUE, BY DEPLOYMENT TYPE 2018–2026 ($MILLION)
TABLE 23.NORTH AMERICA COGNITIVE COMPUTING MARKET REVENUE, BY ENTERPRISE SIZE 2018–2026 ($MILLION)
TABLE 24.NORTH AMERICA COGNITIVE COMPUTING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 25.NORTH AMERICA COGNITIVE COMPUTING MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 26.U.S. COGNITIVE COMPUTING MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 27.U.S. COGNITIVE COMPUTING MARKET REVENUE, BY DEPLOYMENT TYPE 2018–2026 ($MILLION)
TABLE 28.U.S. COGNITIVE COMPUTING MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 29.U.S. COGNITIVE COMPUTING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 30.CANADA COGNITIVE COMPUTING MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 31.CANADA COGNITIVE COMPUTING MARKET REVENUE, BY DEPLOYMENT TYPE 2018–2026 ($MILLION)
TABLE 32.CANADA COGNITIVE COMPUTING MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 33.CANADA COGNITIVE COMPUTING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 34.EUROPE COGNITIVE COMPUTING MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 35.EUROPE COGNITIVE COMPUTING MARKET REVENUE, BY DEPLOYMENT TYPE 2018–2026 ($MILLION)
TABLE 36.EUROPE COGNITIVE COMPUTING MARKET REVENUE, BY ENTERPRISE SIZE 2018–2026 ($MILLION)
TABLE 37.EUROPE COGNITIVE COMPUTING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 38.EUROPE COGNITIVE COMPUTING MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 39.GERMANY COGNITIVE COMPUTING MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 40.GERMANY COGNITIVE COMPUTING MARKET REVENUE, BY DEPLOYMENT TYPE 2018–2026 ($MILLION)
TABLE 41.GERMANY COGNITIVE COMPUTING MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 42.GERMANY COGNITIVE COMPUTING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 43.FRANCE COGNITIVE COMPUTING MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 44.FRANCE COGNITIVE COMPUTING MARKET REVENUE, BY DEPLOYMENT TYPE 2018–2026 ($MILLION)
TABLE 45.FRANCE COGNITIVE COMPUTING MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 46.FRANCE COGNITIVE COMPUTING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 47.UK COGNITIVE COMPUTING MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 48.UK COGNITIVE COMPUTING MARKET REVENUE, BY DEPLOYMENT TYPE 2018–2026 ($MILLION)
TABLE 49.UK COGNITIVE COMPUTING MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 50.UK COGNITIVE COMPUTING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 51.REST OF EUROPE COGNITIVE COMPUTING MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 52.REST OF EUROPE COGNITIVE COMPUTING MARKET REVENUE, BY DEPLOYMENT TYPE 2018–2026 ($MILLION)
TABLE 53.REST OF EUROPE COGNITIVE COMPUTING MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 54.REST OF EUROPE COGNITIVE COMPUTING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 55.ASIA-PACIFIC COGNITIVE COMPUTING MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 56.ASIA-PACIFIC COGNITIVE COMPUTING MARKET REVENUE, BY DEPLOYMENT TYPE 2018–2026 ($MILLION)
TABLE 57.ASIA-PACIFIC COGNITIVE COMPUTING MARKET REVENUE, BY ENTERPRISE SIZE 2018–2026 ($MILLION)
TABLE 58.ASIA-PACIFIC COGNITIVE COMPUTING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 59.ASIA-PACIFIC COGNITIVE COMPUTING MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 60.JAPAN COGNITIVE COMPUTING MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 61.JAPAN COGNITIVE COMPUTING MARKET REVENUE, BY DEPLOYMENT TYPE 2018–2026 ($MILLION)
TABLE 62.JAPAN COGNITIVE COMPUTING MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 63.JAPAN COGNITIVE COMPUTING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 64.CHINA COGNITIVE COMPUTING MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 65.CHINA COGNITIVE COMPUTING MARKET REVENUE, BY DEPLOYMENT TYPE 2018–2026 ($MILLION)
TABLE 66.CHINA COGNITIVE COMPUTING MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 67.CHINA COGNITIVE COMPUTING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 68.INDIA COGNITIVE COMPUTING MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 69.INDIA COGNITIVE COMPUTING MARKET REVENUE, BY DEPLOYMENT TYPE 2018–2026 ($MILLION)
TABLE 70.INDIA COGNITIVE COMPUTING MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 71.INDIA COGNITIVE COMPUTING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 72.REST OF ASIA-PACIFIC COGNITIVE COMPUTING MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 73.REST OF ASIA-PACIFIC COGNITIVE COMPUTING MARKET REVENUE, BY DEPLOYMENT TYPE 2018–2026 ($MILLION)
TABLE 74.REST OF ASIA-PACIFIC COGNITIVE COMPUTING MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 75.REST OF ASIA-PACIFIC COGNITIVE COMPUTING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 76.LAMEA COGNITIVE COMPUTING MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 77.LAMEA COGNITIVE COMPUTING MARKET REVENUE, BY DEPLOYMENT TYPE 2018–2026 ($MILLION)
TABLE 78.LAMEA COGNITIVE COMPUTING MARKET REVENUE, BY ENTERPRISE SIZE 2018–2026 ($MILLION)
TABLE 79.LAMEA COGNITIVE COMPUTING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 80.LAMEA COGNITIVE COMPUTING MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 81.LATIN AMERICA COGNITIVE COMPUTING MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 82.LATIN AMERICA COGNITIVE COMPUTING MARKET REVENUE, BY DEPLOYMENT TYPE 2018–2026 ($MILLION)
TABLE 83.LATIN AMERICA COGNITIVE COMPUTING MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 84.LATIN AMERICA COGNITIVE COMPUTING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 85.MIDDLE EAST COGNITIVE COMPUTING MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 86.MIDDLE EAST COGNITIVE COMPUTING MARKET REVENUE, BY DEPLOYMENT TYPE 2018–2026 ($MILLION)
TABLE 87.MIDDLE EAST COGNITIVE COMPUTING MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 88.MIDDLE EAST COGNITIVE COMPUTING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 89.AFRICA COGNITIVE COMPUTING MARKET REVENUE, BY TECHNOLOGY, 2018–2026 ($MILLION)
TABLE 90.AFRICA COGNITIVE COMPUTING MARKET REVENUE, BY DEPLOYMENT TYPE 2018–2026 ($MILLION)
TABLE 91.AFRICA COGNITIVE COMPUTING MARKET REVENUE, BY ENTERPRISE SIZE, 2018–2026 ($MILLION)
TABLE 92.AFRICA COGNITIVE COMPUTING MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 93.KEY NEW PRODUCT LAUNCHES (2016-2019)
TABLE 94.COLLABORATION (2016-2019)
TABLE 95.PARTNERSHIP (2016-2019)
TABLE 96.PRODUCT DEVELOPMENT (2016-2019)
TABLE 97.KEY EXPANSION (2016-2019)
TABLE 98.KEY ACQUISITION (2016-2019)
TABLE 99.3M: KEY EXECUTIVES
TABLE 100.3M: COMPANY SNAPSHOT
TABLE 101.3M: OPERATING SEGMENTS
TABLE 102.3M: PRODUCT PORTFOLIO
TABLE 103.GOOGLE LLC: KEY EXECUTIVES
TABLE 104.GOOGLE INC.: COMPANY SNAPSHOT
TABLE 105.GOOGLE LLC: PRODUCT PORTFOLIO
TABLE 106.HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: KEY EXECUTIVES
TABLE 107.HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: COMPANY SNAPSHOT
TABLE 108.HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: OPERATING SEGMENTS
TABLE 109.HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: PRODUCT PORTFOLIO
TABLE 110.INTERNATIONAL BUSINESS MACHINES CORPORATION: KEY EXECUTIVES
TABLE 111.INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT
TABLE 112.INTERNATIONAL BUSINESS MACHINES CORPORATION: OPERATING SEGMENTS
TABLE 113.INTERNATIONAL BUSINESS MACHINES CORPORATION: PRODUCT PORTFOLIO
TABLE 114.MICROSOFT CORPORATION: KEY EXECUTIVES
TABLE 115.MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 116.MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 117.MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 118.NUANCE COMMUNICATIONS, INC.: KEY EXECUTIVES
TABLE 119.NUANCE COMMUNICATIONS, INC.: COMPANY SNAPSHOT
TABLE 120.NUANCE COMMUNICATIONS, INC.: OPERATING SEGMENTS
TABLE 121.NUANCE COMMUNICATIONS, INC.: PRODUCT PORTFOLIO
TABLE 122.NUANCE COMMUNICATIONS, INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 123.ORACLE CORPORATION: KEY EXECUTIVES
TABLE 124.ORACLE CORPORATION: COMPANY SNAPSHOT
TABLE 125.ORACLE CORPORATION: OPERATING SEGMENTS
TABLE 126.ORACLE CORPORATION: PRODUCT PORTFOLIO
TABLE 127.ORACLE CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 128.SAP SE: KEY EXECUTIVES
TABLE 129.SAP SE: COMPANY SNAPSHOT
TABLE 130.SAP SE: OPERATING SEGMENTS
TABLE 131.SAP SE: PRODUCT PORTFOLIO
TABLE 132.SAS INSTITUTE INC.: KEY EXECUTIVES
TABLE 133.SAS INSTITUTE INC.: COMPANY SNAPSHOT
TABLE 134.SAS INSTITUTE INC.: PRODUCT PORTFOLIO
TABLE 135.TIBCO SOFTWARE INC.: KEY EXECUTIVES
TABLE 136.TIBCO SOFTWARE INC.: COMPANY SNAPSHOT
TABLE 137.TIBCO SOFTWARE INC.: PRODUCT PORTFOLIO
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