1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
3.1. Market Snapshot
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Analysis
4.3.3. Downstream Buyer Analysis
5.1. COVID-19 Landscape: Enterprise Conversational AI Platform Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
8.1. Enterprise Conversational AI Platform Market, by Component
8.1.1. Solutions/Platforms
8.1.1.1. Market Revenue and Forecast
8.1.2. Services (Professional and Managed)
8.1.2.1. Market Revenue and Forecast
9.1. Enterprise Conversational AI Platform Market, by Deployment Mode
9.1.1. On-Premises
9.1.1.1. Market Revenue and Forecast
9.1.2. Cloud-Based
9.1.2.1. Market Revenue and Forecast
10.1. Enterprise Conversational AI Platform Market, by Technology
10.1.1. Machine Learning (ML)
10.1.1.1. Market Revenue and Forecast
10.1.2. Natural Language Processing (NLP)
10.1.2.1. Market Revenue and Forecast
10.1.3. Speech Recognition
10.1.3.1. Market Revenue and Forecast
10.1.4. Deep Learning
10.1.4.1. Market Revenue and Forecast
10.1.5. Computer Vision (limited integrations)
10.1.5.1. Market Revenue and Forecast
11.1. Enterprise Conversational AI Platform Market, by Application
11.1.1. Customer Support and Service Automation
11.1.1.1. Market Revenue and Forecast
11.1.2. Sales and Marketing
11.1.2.1. Market Revenue and Forecast
11.1.3. Human Resource Management
11.1.3.1. Market Revenue and Forecast
11.1.4. IT Helpdesk Automation
11.1.4.1. Market Revenue and Forecast
11.1.5. Others (finance, compliance, operations)
11.1.5.1. Market Revenue and Forecast
12.1. Enterprise Conversational AI Platform Market, by End-Use Industry
12.1.1. BFSI
12.1.1.1. Market Revenue and Forecast
12.1.2. Retail and E-commerce
12.1.2.1. Market Revenue and Forecast
12.1.3. Healthcare
12.1.3.1. Market Revenue and Forecast
12.1.4. IT and Telecom
12.1.4.1. Market Revenue and Forecast
12.1.5. Manufacturing
12.1.5.1. Market Revenue and Forecast
12.1.6. Travel and Hospitality
12.1.6.1. Market Revenue and Forecast
12.1.7. Education
12.1.7.1. Market Revenue and Forecast
13.1. Enterprise Conversational AI Platform Market, by Interaction Type
13.1.1. Text-Based
13.1.1.1. Market Revenue and Forecast
13.1.2. Voice-Based
13.1.2.1. Market Revenue and Forecast
13.1.3. Multi-Modal (voice + text + vision)
13.1.3.1. Market Revenue and Forecast
14.1. North America
14.1.1. Market Revenue and Forecast, by Component
14.1.2. Market Revenue and Forecast, by Deployment Mode
14.1.3. Market Revenue and Forecast, by Technology
14.1.4. Market Revenue and Forecast, by Application
14.1.5. Market Revenue and Forecast, by End-Use Industry
14.1.6. Market Revenue and Forecast, by Interaction Type
14.1.7. U.S.
14.1.7.1. Market Revenue and Forecast, by Component
14.1.7.2. Market Revenue and Forecast, by Deployment Mode
14.1.7.3. Market Revenue and Forecast, by Technology
14.1.7.4. Market Revenue and Forecast, by Application
14.1.8. Market Revenue and Forecast, by End-Use Industry
14.1.8.1. Market Revenue and Forecast, by Interaction Type
14.1.9. Rest of North America
14.1.9.1. Market Revenue and Forecast, by Component
14.1.9.2. Market Revenue and Forecast, by Deployment Mode
14.1.9.3. Market Revenue and Forecast, by Technology
14.1.9.4. Market Revenue and Forecast, by Application
14.1.10. Market Revenue and Forecast, by End-Use Industry
14.1.11. Market Revenue and Forecast, by Interaction Type
14.2. Europe
14.2.1. Market Revenue and Forecast, by Component
14.2.2. Market Revenue and Forecast, by Deployment Mode
14.2.3. Market Revenue and Forecast, by Technology
14.2.4. Market Revenue and Forecast, by Application
14.2.5. Market Revenue and Forecast, by End-Use Industry
14.2.6. Market Revenue and Forecast, by Interaction Type
14.2.8. UK
14.2.8.1. Market Revenue and Forecast, by Component
14.2.8.2. Market Revenue and Forecast, by Deployment Mode
14.2.8.3. Market Revenue and Forecast, by Technology
14.2.9. Market Revenue and Forecast, by Application
14.2.10. Market Revenue and Forecast, by End-Use Industry
14.2.10.1. Market Revenue and Forecast, by Interaction Type
14.2.11. Germany
14.2.11.1. Market Revenue and Forecast, by Component
14.2.11.2. Market Revenue and Forecast, by Deployment Mode
14.2.11.3. Market Revenue and Forecast, by Technology
14.2.12. Market Revenue and Forecast, by Application
14.2.13. Market Revenue and Forecast, by End-Use Industry
14.2.14. Market Revenue and Forecast, by Interaction Type
14.2.15. France
14.2.15.1. Market Revenue and Forecast, by Component
14.2.15.2. Market Revenue and Forecast, by Deployment Mode
14.2.15.3. Market Revenue and Forecast, by Technology
14.2.15.4. Market Revenue and Forecast, by Application
14.2.16. Market Revenue and Forecast, by End-Use Industry
14.2.16.1. Market Revenue and Forecast, by Interaction Type
14.2.17. Rest of Europe
14.2.17.1. Market Revenue and Forecast, by Component
14.2.17.2. Market Revenue and Forecast, by Deployment Mode
14.2.17.3. Market Revenue and Forecast, by Technology
14.2.17.4. Market Revenue and Forecast, by Application
14.2.18. Market Revenue and Forecast, by End-Use Industry
14.2.18.1. Market Revenue and Forecast, by Interaction Type
14.3. APAC
14.3.1. Market Revenue and Forecast, by Component
14.3.2. Market Revenue and Forecast, by Deployment Mode
14.3.3. Market Revenue and Forecast, by Technology
14.3.4. Market Revenue and Forecast, by Application
14.3.5. Market Revenue and Forecast, by End-Use Industry
14.3.6. Market Revenue and Forecast, by Interaction Type
14.3.7. India
14.3.7.1. Market Revenue and Forecast, by Component
14.3.7.2. Market Revenue and Forecast, by Deployment Mode
14.3.7.3. Market Revenue and Forecast, by Technology
14.3.7.4. Market Revenue and Forecast, by Application
14.3.8. Market Revenue and Forecast, by End-Use Industry
14.3.9. Market Revenue and Forecast, by Interaction Type
14.3.10. China
14.3.10.1. Market Revenue and Forecast, by Component
14.3.10.2. Market Revenue and Forecast, by Deployment Mode
14.3.10.3. Market Revenue and Forecast, by Technology
14.3.10.4. Market Revenue and Forecast, by Application
14.3.11. Market Revenue and Forecast, by End-Use Industry
14.3.11.1. Market Revenue and Forecast, by Interaction Type
14.3.12. Japan
14.3.12.1. Market Revenue and Forecast, by Component
14.3.12.2. Market Revenue and Forecast, by Deployment Mode
14.3.12.3. Market Revenue and Forecast, by Technology
14.3.12.4. Market Revenue and Forecast, by Application
14.3.12.5. Market Revenue and Forecast, by End-Use Industry
14.3.12.6. Market Revenue and Forecast, by Interaction Type
14.3.13. Rest of APAC
14.3.13.1. Market Revenue and Forecast, by Component
14.3.13.2. Market Revenue and Forecast, by Deployment Mode
14.3.13.3. Market Revenue and Forecast, by Technology
14.3.13.4. Market Revenue and Forecast, by Application
14.3.13.5. Market Revenue and Forecast, by End-Use Industry
14.3.13.6. Market Revenue and Forecast, by Interaction Type
14.4. MEA
14.4.1. Market Revenue and Forecast, by Component
14.4.2. Market Revenue and Forecast, by Deployment Mode
14.4.3. Market Revenue and Forecast, by Technology
14.4.4. Market Revenue and Forecast, by Application
14.4.5. Market Revenue and Forecast, by End-Use Industry
14.4.6. Market Revenue and Forecast, by Interaction Type
14.4.7. GCC
14.4.7.1. Market Revenue and Forecast, by Component
14.4.7.2. Market Revenue and Forecast, by Deployment Mode
14.4.7.3. Market Revenue and Forecast, by Technology
14.4.7.4. Market Revenue and Forecast, by Application
14.4.8. Market Revenue and Forecast, by End-Use Industry
14.4.9. Market Revenue and Forecast, by Interaction Type
14.4.10. North Africa
14.4.10.1. Market Revenue and Forecast, by Component
14.4.10.2. Market Revenue and Forecast, by Deployment Mode
14.4.10.3. Market Revenue and Forecast, by Technology
14.4.10.4. Market Revenue and Forecast, by Application
14.4.11. Market Revenue and Forecast, by End-Use Industry
14.4.12. Market Revenue and Forecast, by Interaction Type
14.4.13. South Africa
14.4.13.1. Market Revenue and Forecast, by Component
14.4.13.2. Market Revenue and Forecast, by Deployment Mode
14.4.13.3. Market Revenue and Forecast, by Technology
14.4.13.4. Market Revenue and Forecast, by Application
14.4.13.5. Market Revenue and Forecast, by End-Use Industry
14.4.13.6. Market Revenue and Forecast, by Interaction Type
14.4.14. Rest of MEA
14.4.14.1. Market Revenue and Forecast, by Component
14.4.14.2. Market Revenue and Forecast, by Deployment Mode
14.4.14.3. Market Revenue and Forecast, by Technology
14.4.14.4. Market Revenue and Forecast, by Application
14.4.14.5. Market Revenue and Forecast, by End-Use Industry
14.4.14.6. Market Revenue and Forecast, by Interaction Type
14.5. Latin America
14.5.1. Market Revenue and Forecast, by Component
14.5.2. Market Revenue and Forecast, by Deployment Mode
14.5.3. Market Revenue and Forecast, by Technology
14.5.4. Market Revenue and Forecast, by Application
14.5.5. Market Revenue and Forecast, by End-Use Industry
14.5.6. Market Revenue and Forecast, by Interaction Type
14.5.7. Brazil
14.5.7.1. Market Revenue and Forecast, by Component
14.5.7.2. Market Revenue and Forecast, by Deployment Mode
14.5.7.3. Market Revenue and Forecast, by Technology
14.5.7.4. Market Revenue and Forecast, by Application
14.5.8. Market Revenue and Forecast, by End-Use Industry
14.5.8.1. Market Revenue and Forecast, by Interaction Type
14.5.9. Rest of LATAM
14.5.9.1. Market Revenue and Forecast, by Component
14.5.9.2. Market Revenue and Forecast, by Deployment Mode
14.5.9.3. Market Revenue and Forecast, by Technology
14.5.9.4. Market Revenue and Forecast, by Application
14.5.9.5. Market Revenue and Forecast, by End-Use Industry
14.5.9.6. Market Revenue and Forecast, by Interaction Type
15.1. Microsoft (Power Virtual Agents/Azure conversational services)
15.1.1. Company Overview
15.1.2. Product Offerings
15.1.3. Financial Performance
15.1.4. Recent Initiatives
15.2. Google (Dialogflow/Vertex AI conversational solutions)
15.2.1. Company Overview
15.2.2. Product Offerings
15.2.3. Financial Performance
15.2.4. Recent Initiatives
15.3. Amazon Web Services (Amazon Lex + AI services)
15.3.1. Company Overview
15.3.2. Product Offerings
15.3.3. Financial Performance
15.3.4. Recent Initiatives
15.4. IBM Watson Assistant
15.4.1. Company Overview
15.4.2. Product Offerings
15.4.3. Financial Performance
15.4.4. Recent Initiatives
15.5. Rasa
15.5.1. Company Overview
15.5.2. Product Offerings
15.5.3. Financial Performance
15.5.4. Recent Initiatives
15.6. LivePerson
15.6.1. Company Overview
15.6.2. Product Offerings
15.6.3. Financial Performance
15.6.4. Recent Initiatives
15.7. Genesys (Genesys DX/Conversational AI)
15.7.1. Company Overview
15.7.2. Product Offerings
15.7.3. Financial Performance
15.7.4. Recent Initiatives
15.8. Twilio (Conversations/Flex integrations)
15.8.1. Company Overview
15.8.2. Product Offerings
15.8.3. Financial Performance
15.8.4. Recent Initiatives
15.9. Cognigy
15.9.1. Company Overview
15.9.2. Product Offerings
15.9.3. Financial Performance
15.9.4. Recent Initiatives
15.10. Kore.ai
15.10.1. Company Overview
15.10.2. Product Offerings
15.10.3. Financial Performance
15.10.4. Recent Initiatives
16.1. Primary Research
16.2. Secondary Research
16.3. Assumptions
17.1. About Us
17.2. Glossary of Terms
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