Global Cognitive Analytics Market is growing at a CAGR of 43.02% from 2017 to 2025
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.
Market Dynamics:
1. Market Drivers1.1 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
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.
Market Dynamics:
1. Market Drivers1.1 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 Restraints2.1 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
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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 Ozone Market Reports: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.
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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 Ozone Market Reports3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources
4 GLOBAL COGNITIVE ANALYTICS MARKET OUTLOOK4.1 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 TECHNOLOGY5.1 Natural Language Processing
5.2 Machine Learning
5.3 Automated Reasoning
5.4 Information Retrieval
1.2 Scope of Report
1.3 Assumptions
2 EXECUTIVE SUMMARY
3 RESEARCH METHODOLOGY OF Ozone Market Reports3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources
4 GLOBAL COGNITIVE ANALYTICS MARKET OUTLOOK4.1 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 TECHNOLOGY5.1 Natural Language Processing
5.2 Machine Learning
5.3 Automated Reasoning
5.4 Information Retrieval
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