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 Call Center AI market 3600 synopsis, 2018 - 2032
2.2 Business trends
2.2.1 Total Addressable Market (TAM), 2024 - 2032
2.3 Regional trends
2.4 Component trends
2.5 Deployment model trends
2.6 Application trends
2.7 End-user trends
Chapter 3 Call Center AI Market Industry Insights
3.1 Impact of COVID-19
3.2 Impact of the Russia-Ukraine war
3.3 Industry ecosystem analysis
3.4 Technology & innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
3.6.1 Partnership/Collaboration
3.6.2 Merger/Acquisition
3.6.3 Investment
3.6.4 Product launch & innovation
3.7 Regulatory landscape
3.8 Impact forces
3.8.1 Growth drivers
3.8.1.1 Increasing demand for improved customer services
3.8.1.2 Rapid advancements in Artificial Intelligence (AI)
3.8.1.3 Growing adoption of omnichannel customer services
3.8.1.4 Increasing regulatory compliances related call center services
3.8.2 Industry pitfalls & challenges
3.8.2.1 Data privacy concerns
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 IBM Corporation
4.3.2 Google LLC
4.3.3 Microsoft Corporation
4.3.4 Oracle Corporation
4.3.5 SAP SE
4.3.6 Amazon Web Services
4.3.7 Genesys
4.4 Competitive positioning matrix, 2023
4.5 Strategic outlook matrix, 2023
Chapter 5 Call Center AI Market Estimates & Forecast, By Component (Revenue)
5.1 Key trends, by component
5.2 Solution
5.3 Services
5.3.1 Professional services
5.3.2 Managed services
Chapter 6 Call Center AI Market Estimates & Forecast, By Deployment Model (Revenue)
6.1 Key trends, by deployment model
6.2 On-premises
6.3 Cloud
Chapter 7 Call Center AI Market Estimates & Forecast, By Application (Revenue)
7.1 Key trends, by application
7.2 Workforce optimization
7.3 Predictive call routing
7.4 Journey orchestration
7.5 Agent performance management
7.6 Sentiment Analysis
7.7 Appointment Scheduling
Chapter 8 Call Center AI Market Estimates & Forecast, By End-user (Revenue)
8.1 Key trends, by end-user
8.2 BFSI
8.3 Retail & e-commerce
8.4 Telecom
8.5 Healthcare
8.6 Media & entertainment
8.7 Travel & hospitality
8.8 Others
Chapter 9 Call Center AI Market Estimates & Forecast, By Region (Revenue)
9.1 Key trends, by region
9.2 North America
9.2.1 U.S.
9.2.2 Canada
9.3 Europe
9.3.1 UK
9.3.2 Germany
9.3.3 France
9.3.4 Italy
9.3.5 Spain
9.3.6 Russia
9.4 Asia Pacific
9.4.1 China
9.4.2 India
9.4.3 Japan
9.4.4 South Korea
9.4.5 Southeast Asia
9.4.6 ANZ
9.5 Latin America
9.5.1 Brazil
9.5.2 Mexico
9.5.3 Argentina
9.6 MEA
9.6.1 UAE
9.6.2 Saudi Arabia
9.6.3 South Africa
Chapter 10 Company Profiles
10.1 Amazon Web Services
10.2 Avaya
10.3 Dialpad
10.4 Five9
10.5 Genesys
10.6 Google LLC
10.7 IBM Corporation
10.8 Microsoft Corporation
10.9 NICE inContact
10.10 Observe.AI
10.11 Oracle Corporation
10.12 SAP SE
10.13 Twilio
10.14 UiPath
10.15 Zendesk
