Report Content
Chapter 1 Methodology & Scope
1.1 Market scope & definition
1.2 Base estimates & calculations
1.3 Forecast calculation
1.4 Data Sources
1.4.1 Primary
1.4.2 Secondary
1.4.2.1 Paid sources
1.4.2.2 Public sources
Chapter 2 Executive Summary
2.1 Conversational AI market 360º synopsis, 2018 - 2032
2.2 Business trends
2.2.1 Total Addressable Market (TAM), 2023-2032
2.3 Regional trends
2.4 Component trends
2.5 Deployment model trends
2.6 Type trends
2.7 Technology trends
2.8 Application trends
2.9 End-user trends
Chapter 3 Conversational AI Market Industry Insights
3.1 Industry ecosystem analysis
3.2 Supplier Landscape
3.3 Profit margin analysis
3.4 Technology innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
3.7 Regulatory landscape
3.8 Impact forces
3.8.1 Growth drivers
3.8.1.1 Rising need to enhance customer engagement
3.8.1.2 Rising multichannel communication
3.8.1.3 Increased demand for customer support and virtual assistants
3.8.1.4 Growing adoption of AI solutions in numerous industries
3.8.1.5 Advancements in natural language processing
3.8.2 Industry pitfalls & challenges
3.9 Growth potential analysis
3.10 Porter’s analysis
3.11 PESTEL analysis
Chapter 4 Competitive Landscape, 2023
4.1 Introduction
4.2 Company market share, 2023
4.3 Competitive analysis of major market players, 2023
4.3.1 Microsoft Corporation
4.3.2 Google LLC
4.3.3 IBM Corporation
4.3.4 Oracle Corporation
4.3.5 SAP SE
4.3.6 Amazon Web Services (AWS)
4.3.7 Conversica, Inc.
4.4 Competitive positioning matrix, 2023
4.5 Strategic outlook matrix, 2023
Chapter 5 Conversational AI Market Estimates & Forecast, by Component (Revenue)
5.1 Key trends, by component
5.2 Solution
5.3 Services
5.3.1 Support & maintenance
5.3.2 System integration & implementation
5.3.3 Training & consulting
Chapter 6 Conversational AI Market Estimates & Forecast, by Deployment Model (Revenue)
6.1 Key trends, by deployment model
6.2 Cloud
6.3 On-premise
Chapter 7 Conversational AI Market Estimates & Forecast, By Type (Revenue)
7.1 Key trends, by type
7.2 Chatbots
7.3 Intelligent virtual assistant (IVA)
Chapter 8 Conversational AI Market Estimates & Forecast, By Technology (Revenue)
8.1 Key trends, by technology
8.2 Natural language processing (NLP)
8.3 Machine learning & deep learning
8.4 Automatic speech recognition
Chapter 9 Conversational AI Market Estimates & Forecast, By Application (Revenue)
9.1 Key trends, by application
9.2 Customer support
9.3 Personal assistant
9.4 Branding and advertisement
9.5 Customer engagement and retention
9.6 Others
Chapter 10 Conversational AI Market Estimates & Forecast, By End-User (Revenue)
10.1 Key trends, by end-user
10.2 BFSI
10.3 Healthcare
10.4 IT & telecom
10.5 Retail & E-commerce
10.6 Education
10.7 Media & entertainment
10.8 Automotive
10.9 Others
Chapter 11 Conversational AI Market Estimates & Forecast, By Region
11.1 Key trends, by region
11.2 North America
11.2.1 U.S.
11.2.2 Canada
11.3 Europe
11.3.1 UK
11.3.2 Germany
11.3.3 France
11.3.4 Italy
11.3.5 Spain
11.3.6 Russia
11.3.7 Nordics
11.4 Asia Pacific
11.4.1 China
11.4.2 India
11.4.3 Japan
11.4.4 South Korea
11.4.5 ANZ
11.4.6 Southeast Asia
11.5 Latin America
11.5.1 Brazil
11.5.2 Mexico
11.5.3 Argentina
11.6 MEA
11.6.1 South Africa
11.6.2 Saudi Arabia
11.6.3 UAE
Chapter 12 Company Profiles
12.1 Amazon Web Services, Inc.
12.2 Artificial Solutions
12.3 Avaamo
12.4 Cognigy
12.5 Conversica, Inc.
12.6 FIS Global
12.7 Google LLC
12.8 IBM Corporation
12.9 Jio Haptik Technologies Limited
12.10 Kasisto
12.11 Kore.ai, Inc.
12.12 Microsoft Corporation
12.13 Oracle Corporation
12.14 Pypestream Inc.
12.15 Rasa Technologies Inc.
12.16 SAP SE
12.17 Solvvy
