1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Cognitive Analytics Market Size Growth Rate by Type: 2017 VS 2021 VS 2028
1.2.2 Managed services
1.2.3 Professional services
1.2.4 Consulting services
1.2.5 Deployment and integration
1.2.6 Support and maintenance
1.3 Market by Application
1.3.1 Global Cognitive Analytics Market Share by Application: 2017 VS 2021 VS 2028
1.3.2 Asset Maintenance
1.3.3 Fraud and Risk Management
1.3.4 Customer Analysis and Personalization
1.3.5 Sales and Marketing Management
1.3.6 Supply Chain Management
1.3.7 Others
1.4 Study Objectives
1.5 Years Considered
2 Global Growth Trends
2.1 Global Cognitive Analytics Market Perspective (2017-2028)
2.2 Cognitive Analytics Growth Trends by Region
2.2.1 Cognitive Analytics Market Size by Region: 2017 VS 2021 VS 2028
2.2.2 Cognitive Analytics Historic Market Size by Region (2017-2022)
2.2.3 Cognitive Analytics Forecasted Market Size by Region (2023-2028)
2.3 Cognitive Analytics Market Dynamics
2.3.1 Cognitive Analytics Industry Trends
2.3.2 Cognitive Analytics Market Drivers
2.3.3 Cognitive Analytics Market Challenges
2.3.4 Cognitive Analytics Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Cognitive Analytics Players by Revenue
3.1.1 Global Top Cognitive Analytics Players by Revenue (2017-2022)
3.1.2 Global Cognitive Analytics Revenue Market Share by Players (2017-2022)
3.2 Global Cognitive Analytics Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Cognitive Analytics Revenue
3.4 Global Cognitive Analytics Market Concentration Ratio
3.4.1 Global Cognitive Analytics Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Cognitive Analytics Revenue in 2021
3.5 Cognitive Analytics Key Players Head office and Area Served
3.6 Key Players Cognitive Analytics Product Solution and Service
3.7 Date of Enter into Cognitive Analytics Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Cognitive Analytics Breakdown Data by Type
4.1 Global Cognitive Analytics Historic Market Size by Type (2017-2022)
4.2 Global Cognitive Analytics Forecasted Market Size by Type (2023-2028)
5 Cognitive Analytics Breakdown Data by Application
5.1 Global Cognitive Analytics Historic Market Size by Application (2017-2022)
5.2 Global Cognitive Analytics Forecasted Market Size by Application (2023-2028)
6 North America
6.1 North America Cognitive Analytics Market Size (2017-2028)
6.2 North America Cognitive Analytics Market Size by Country (2017-2022)
6.3 North America Cognitive Analytics Market Size by Country (2023-2028)
6.4 United States
6.5 Canada
7 Europe
7.1 Europe Cognitive Analytics Market Size (2017-2028)
7.2 Europe Cognitive Analytics Market Size by Country (2017-2022)
7.3 Europe Cognitive Analytics Market Size by Country (2023-2028)
7.4 Germany
7.5 France
7.6 U.K.
7.7 Italy
7.8 Russia
7.9 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Cognitive Analytics Market Size (2017-2028)
8.2 Asia-Pacific Cognitive Analytics Market Size by Country (2017-2022)
8.3 Asia-Pacific Cognitive Analytics Market Size by Country (2023-2028)
8.4 China
8.5 Japan
8.6 South Korea
8.7 Southeast Asia
8.8 India
8.9 Australia
9 Latin America
9.1 Latin America Cognitive Analytics Market Size (2017-2028)
9.2 Latin America Cognitive Analytics Market Size by Country (2017-2022)
9.3 Latin America Cognitive Analytics Market Size by Country (2023-2028)
9.4 Mexico
9.5 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Cognitive Analytics Market Size (2017-2028)
10.2 Middle East & Africa Cognitive Analytics Market Size by Country (2017-2022)
10.3 Middle East & Africa Cognitive Analytics Market Size by Country (2023-2028)
10.4 Turkey
10.5 Saudi Arabia
10.6 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM Cognitive Analytics Introduction
11.1.4 IBM Revenue in Cognitive Analytics Business (2017-2022)
11.1.5 IBM Recent Development
11.2 Amazon Web Services (AWS)
11.2.1 Amazon Web Services (AWS) Company Detail
11.2.2 Amazon Web Services (AWS) Business Overview
11.2.3 Amazon Web Services (AWS) Cognitive Analytics Introduction
11.2.4 Amazon Web Services (AWS) Revenue in Cognitive Analytics Business (2017-2022)
11.2.5 Amazon Web Services (AWS) Recent Development
11.3 Google
11.3.1 Google Company Detail
11.3.2 Google Business Overview
11.3.3 Google Cognitive Analytics Introduction
11.3.4 Google Revenue in Cognitive Analytics Business (2017-2022)
11.3.5 Google Recent Development
11.4 Microsoft
11.4.1 Microsoft Company Detail
11.4.2 Microsoft Business Overview
11.4.3 Microsoft Cognitive Analytics Introduction
11.4.4 Microsoft Revenue in Cognitive Analytics Business (2017-2022)
11.4.5 Microsoft Recent Development
11.5 Oracle
11.5.1 Oracle Company Detail
11.5.2 Oracle Business Overview
11.5.3 Oracle Cognitive Analytics Introduction
11.5.4 Oracle Revenue in Cognitive Analytics Business (2017-2022)
11.5.5 Oracle Recent Development
11.6 SAS Institute
11.6.1 SAS Institute Company Detail
11.6.2 SAS Institute Business Overview
11.6.3 SAS Institute Cognitive Analytics Introduction
11.6.4 SAS Institute Revenue in Cognitive Analytics Business (2017-2022)
11.6.5 SAS Institute Recent Development
11.7 Intel
11.7.1 Intel Company Detail
11.7.2 Intel Business Overview
11.7.3 Intel Cognitive Analytics Introduction
11.7.4 Intel Revenue in Cognitive Analytics Business (2017-2022)
11.7.5 Intel Recent Development
11.8 Cisco Systems
11.8.1 Cisco Systems Company Detail
11.8.2 Cisco Systems Business Overview
11.8.3 Cisco Systems Cognitive Analytics Introduction
11.8.4 Cisco Systems Revenue in Cognitive Analytics Business (2017-2022)
11.8.5 Cisco Systems Recent Development
11.9 Nokia
11.9.1 Nokia Company Detail
11.9.2 Nokia Business Overview
11.9.3 Nokia Cognitive Analytics Introduction
11.9.4 Nokia Revenue in Cognitive Analytics Business (2017-2022)
11.9.5 Nokia Recent Development
11.10 HPE
11.10.1 HPE Company Detail
11.10.2 HPE Business Overview
11.10.3 HPE Cognitive Analytics Introduction
11.10.4 HPE Revenue in Cognitive Analytics Business (2017-2022)
11.10.5 HPE Recent Development
11.11 Nuance Communications
11.11.1 Nuance Communications Company Detail
11.11.2 Nuance Communications Business Overview
11.11.3 Nuance Communications Cognitive Analytics Introduction
11.11.4 Nuance Communications Revenue in Cognitive Analytics Business (2017-2022)
11.11.5 Nuance Communications Recent Development
11.12 Ipsoft
11.12.1 Ipsoft Company Detail
11.12.2 Ipsoft Business Overview
11.12.3 Ipsoft Cognitive Analytics Introduction
11.12.4 Ipsoft Revenue in Cognitive Analytics Business (2017-2022)
11.12.5 Ipsoft Recent Development
11.13 Narrative Science
11.13.1 Narrative Science Company Detail
11.13.2 Narrative Science Business Overview
11.13.3 Narrative Science Cognitive Analytics Introduction
11.13.4 Narrative Science Revenue in Cognitive Analytics Business (2017-2022)
11.13.5 Narrative Science Recent Development
11.14 Sinequa
11.14.1 Sinequa Company Detail
11.14.2 Sinequa Business Overview
11.14.3 Sinequa Cognitive Analytics Introduction
11.14.4 Sinequa Revenue in Cognitive Analytics Business (2017-2022)
11.14.5 Sinequa Recent Development
11.15 Persado
11.15.1 Persado Company Detail
11.15.2 Persado Business Overview
11.15.3 Persado Cognitive Analytics Introduction
11.15.4 Persado Revenue in Cognitive Analytics Business (2017-2022)
11.15.5 Persado Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

 

Research Methodology

 

SECONDARY RESEARCH
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.

PRIMARY RESEARCH
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.

MARKET ENGINEERING
The market engineering phase involves analysing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.

EXPERT VALIDATION
The market engineered data is verified and validated by a number of experts, both in-house and external.

REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.