Global Cognitive Analytics Market 

Market Overview:
The Global Cognitive Analytics Market was valued at USD 1.82 billion in 2016 and is projected to reach USD 45.57 billion by 2025, growing at a CAGR of 43.02% from 2017 to 2025.

Cognitive analytics applies intelligent technologies to bring all of these data sources within reach of analytics processes for decision making and business intelligence. When applied in the enterprise, cognitive analytics can be used to bridge the gap between large volumes of information and the need to make decisions in real time. Cognitive analytics provides personalized services, improves service consistency and quality, enhance knowledge sharing, mine untapped data source, and detects product safety issues.

Sample Infographics:




Market Dynamics:
1. Market Drivers
1.1 Rising adoption of cloud technology
1.2 Increasing adoption by small and medium enterprises
1.3 Increasing need for cognitive computing technology
1.4 Growing size of complex data
1.5 Emergence of advanced analytics techniques
2. Market Restraints
2.1 Security concerns
2.2 Lack of technical expertise
2.3 Highly complex analytical process
2.4 Issues with the management of data quality and safety

Market Segmentation:
The Global Cognitive Analytics Market is segmented on the technology, component, organization size, application, deployment mode, vertical, and region.

1. Technology:
1.1 Natural Language Processing
1.2 Machine Learning
1.3 Automated Reasoning
1.4 Information Retrieval

2. Component:
2.1 Tools
2.2 Service
2.2.1 Managed services
2.2.2 Professional services
2.2.2.1 Support and maintenance
2.2.2.2 Deployment and integration
2.2.2.3 Consulting services

3. Organization Size:
3.1 Large Enterprises
3.2 Small and Medium Organizations

4. Application:
4.1 Supply chain management
4.2 Asset maintenance
4.3 Customer analysis and personalization
4.4 Sales and marketing management
4.5 Fraud and risk management
4.6 Others

5. By Deployment Mode:
5.1 On-premise
5.2 Cloud based

6. By Vertical:
6.1 Healthcare
6.2 Government and Defense
6.3 IT and Telecom
6.4 Banking, Financial Services, and Insurance (BFSI)
6.5 Transportation and Logistics
6.6 Retail and Consumer Goods
6.7 Others

7. By Region:
7.1 North America (U.S., Canada, Mexico)
7.2 Europe (Germany, UK, France, Rest of Europe)
7.3 Asia Pacific (China, India, Japan, Rest of Asia Pacific)
7.4 Latin America (Brazil, Argentina, Rest of Latin America)
7.5 Middle East & Africa

Competitive Landscape:
The major players in the market are as follows:
1. Amazon Web Services
2. Persado
3. SAS Institute
4. IBM Corporation
5. Intel
6. HPE
7. Ipsoft
8. Google
9. Sinequa
10. Narrative Science
11. Microsoft Corporation
12. Nuance Communications
13. Nokia
14. Cisco Systems
15. Oracle Corporation

These major players have adopted various organic as well as inorganic growth strategies such as mergers & acquisitions, new product launches, expansions, agreements, joint ventures, partnerships, and others to strengthen their position in this market.

RESEARCH METHODOLOGY OF VERIFIED MARKET INTELLIGENCE:
Research study on the Global Cognitive Analytics Market was performed in five phases which include Secondary research, Primary research, subject matter expert advice, quality check and final review.

The market data was analyzed and forecasted using market statistical and coherent models. Also market shares and key trends were taken into consideration while making the report. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis.

To know more about the Research Methodology of Verified Market Intelligence and other aspects of the research study, kindly get in touch with our sales team
Table of Content

1 INTRODUCTION OF GLOBAL COGNITIVE ANALYTICS MARKET
1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET INTELLIGENCE
3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources

4 GLOBAL COGNITIVE ANALYTICS MARKET OUTLOOK
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis
4.5 Regulatory Framework

5 GLOBAL COGNITIVE ANALYTICS MARKET TECHNOLOGY
5.1 Natural Language Processing
5.2 Machine Learning
5.3 Automated Reasoning
5.4 Information Retrieval

6 GLOBAL COGNITIVE ANALYTICS MARKET COMPONENT
6.1 Tools
6.2 Service
6.2.1 Managed services
6.2.2 Professional services
6.2.2.1 Support and maintenance
6.2.2.2 Deployment and integration
6.2.2.3 Consulting services

7 GLOBAL COGNITIVE ANALYTICS MARKET ORGANIZATION SIZE
7.1 Large Enterprises
7.2 Small and Medium Organizations

8 GLOBAL COGNITIVE ANALYTICS MARKET APPLICATION
8.1 Supply chain management
8.2 Asset maintenance
8.3 Customer analysis and personalization
8.4 Sales and marketing management
8.5 Fraud and risk management
8.6 Others

9 GLOBAL COGNITIVE ANALYTICS MARKET BY DEPLOYMENT MODE
9.1 On-premise
9.2 Cloud based

10 GLOBAL COGNITIVE ANALYTICS MARKET BY VERTICAL
10.1 Healthcare
10.2 Government and Defense
10.3 IT and Telecom
10.4 Banking, Financial Services, and Insurance (BFSI)
10.5 Transportation and Logistics
10.6 Retail and Consumer Goods
10.7 Others

11 GLOBAL COGNITIVE ANALYTICS MARKET , BY GEOGRAPHY
11.1 Overview
11.2 North America Regional Market Estimates and Forecasts, 2012 - 2025
11.2.1 U.S.
11.2.2 Canada
11.2.3 Mexico
11.3 Europe Regional Market Estimates and Forecasts, 2012 - 2025
11.3.1 Germany
11.3.2 U.K.
11.3.3 France
11.3.4 Rest of Europe
11.4 Asia Pacific Regional Market Estimates and Forecasts, 2012 - 2025
11.4.1 China
11.4.2 Japan
11.4.3 India
11.4.4 Rest of Asia Pacific
11.5 Latin America Regional Market Estimates and Forecasts, 2012 - 2025
11.5.1 Brazil
11.5.2 Argentina
11.6 Rest of the World Regional Market Estimates and Forecasts, 2012 â€" 2025

12 GLOBAL COGNITIVE ANALYTICS MARKET COMPETITIVE LANDSCAPE
12.1 Overview
12.2 Company Market Share
12.3 Vendor Landscape
12.4 Key Development Strategies

13 COMPANY PROFILES
13.1 Amazon Web Services
13.1.1 Overview
13.1.2 Financial Performance
13.1.3 Product Outlook
13.1.4 Key Developments

13.2 Persado
13.2.1 Overview
13.2.2 Financial Performance
13.2.3 Product Outlook
13.2.4 Key Developments

13.3 SAS Institute
13.3.1 Overview
13.3.2 Financial Performance
13.3.3 Product Outlook
13.3.4 Key Developments

13.4 IBM Corporation
13.4.1 Overview
13.4.2 Financial Performance
13.4.3 Product Outlook
13.4.4 Key Developments

13.5 Intel
13.5.1 Overview
13.5.2 Financial Performance
13.5.3 Product Outlook
13.5.4 Key Developments

13.6 HPE
13.6.1 Overview
13.6.2 Financial Performance
13.6.3 Product Outlook
13.6.4 Key Developments

13.7 Ipsoft
13.7.1 Overview
13.7.2 Financial Performance
13.7.3 Product Outlook
13.7.4 Key Developments

13.8 Google
13.8.1 Overview
13.8.2 Financial Performance
13.8.3 Product Outlook
13.8.4 Key Developments

13.9 Sinequa
13.9.1 Overview
13.9.2 Financial Performance
13.9.3 Product Outlook
13.9.4 Key Developments

13.10 Narrative Science
13.10.1 Overview
13.10.2 Financial Performance
13.10.3 Product Outlook
13.10.4 Key Developments

13.11 Microsoft Corporation
13.11.1 Overview
13.11.2 Financial Performance
13.11.3 Product Outlook
13.11.4 Key Developments

13.12 Nuance Communications
13.12.1 Overview
13.12.2 Financial Performance
13.12.3 Product Outlook
13.12.4 Key Developments

13.13 Nokia
13.13.1 Overview
13.13.2 Financial Performance
13.13.3 Product Outlook
13.13.4 Key Developments

13.14 Cisco Systems
13.14.1 Overview
13.14.2 Financial Performance
13.14.3 Product Outlook
13.14.4 Key Developments

13.15 Oracle Corporation
13.15.1 Overview
13.15.2 Financial Performance
13.15.3 Product Outlook
13.15.4 Key Developments

14 Appendix
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