According to the research report, the global call center AI market size is expected to touch USD 17.05 Billion by 2032, from USD 2.13 Billion in 2022, growing with a significant CAGR of 23.12% from 2023 to 2032.
Key Takeaways:
- North America generated more than 42% of the revenue share in 2022.
- By component, the services segment is expected to witness a significant pace of growth during the forecast period.
- By deployment, the on-premises segment is expected to maintain its position in the market. The cloud deployment segment is expected to register the fastest growth during the forecast period.
- By application, the predictive call routing segment is expected to hold the largest share among other application segments during the forecast period.
- By enterprises, the large-scale enterprises segment leads the global call center AI market, the small and medium-scale enterprises segment will grow at a significant rate.
- By end-user industry, the retail and e-commerce segment is expected to hold a significant share of the market during the forecast period. The BFSI segment currently leads the market.
The call center AI report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global call center AI in conjunction with the geographical landscape of this vertical have also been included in this report.
The report offers intricate dynamics about different aspects of the global call center AI market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global call center AI during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).
Sample Link @ https://www.precedenceresearch.com/sample/3104
This study covers a detailed segmentation of the global call center AI market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global call center AI market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.
Key Players
- IBM
- Bright Pattern
- SAP
- Oracle
- Avaya
- Jio Haptik Technologies
- SMartAction LLC
- Zendesk
- NICE
Market Segmentation
By Component
- Services
- Solutions
- Managed Services
By Deployment
- Cloud
- On-premises
By Application
- Predictive Call Routing
- Sentiment Analysis
- Workforce Management
- Journey Orchestration
- Quality Management
- Others
By Enterprises
- Large Scale
- Small & Medium Scale
By End-User Industry
- IT & Telecommunication
- Healthcare
- Retain & E-commerce
- Energy & Utilities
- BFSI
- Travels and Hospitality
- Others
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East and Africa
Research Methodology
The research methodology adopted by analysts for compiling the global call center AI report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.
During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.
For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global call center AI market.
TABLE OF CONTENT
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology (Premium Insights)
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
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 Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Call Center AI Market
5.1. COVID-19 Landscape: Call Center AI 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
Chapter 6. Market Dynamics Analysis and Trends
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
Chapter 7. Competitive Landscape
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
Chapter 8. Global Call Center AI Market, By January
8.1. Call Center AI Market, by Component, 2023-2032
8.1.1. Services
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Solutions
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Managed Services
8.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Call Center AI Market, By Deployment
9.1. Call Center AI Market, by Deployment, 2023-2032
9.1.1. Cloud
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. On-premises
9.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Call Center AI Market, By Application
10.1. Call Center AI Market, by Application, 2023-2032
10.1.1. Predictive Call Routing
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Sentiment Analysis
10.1.2.1. Market Revenue and Forecast (2020-2032)
10.1.3. Workforce Management
10.1.3.1. Market Revenue and Forecast (2020-2032)
10.1.4. Journey Orchestration
10.1.4.1. Market Revenue and Forecast (2020-2032)
10.1.5. Quality Management
10.1.5.1. Market Revenue and Forecast (2020-2032)
10.1.6. Others
10.1.6.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Call Center AI Market, By Enterprises
11.1. Call Center AI Market, by Enterprises, 2023-2032
11.1.1. Large Scale
11.1.1.1. Market Revenue and Forecast (2020-2032)
11.1.2. Small & Medium Scale
11.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 12. Global Call Center AI Market, By End-User Industry
12.1. Call Center AI Market, by End-User Industry, 2023-2032
12.1.1. IT & Telecommunication
12.1.1.1. Market Revenue and Forecast (2020-2032)
12.1.2. Healthcare
12.1.2.1. Market Revenue and Forecast (2020-2032)
12.1.3. Retain & E-commerce
12.1.3.1. Market Revenue and Forecast (2020-2032)
12.1.4. Energy & Utilities
12.1.4.1. Market Revenue and Forecast (2020-2032)
12.1.5. BFSI
12.1.5.1. Market Revenue and Forecast (2020-2032)
12.1.6. Travels and Hospitality
12.1.6.1. Market Revenue and Forecast (2020-2032)
12.1.7. Others
12.1.7.1. Market Revenue and Forecast (2020-2032)
Chapter 13. Global Call Center AI Market, Regional Estimates and Trend Forecast
13.1. North America
13.1.1. Market Revenue and Forecast, by Component (2020-2032)
13.1.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.1.3. Market Revenue and Forecast, by Application (2020-2032)
13.1.4. Market Revenue and Forecast, by Enterprises (2020-2032)
13.1.5. Market Revenue and Forecast, by End-User Industry (2020-2032)
13.1.6. U.S.
13.1.6.1. Market Revenue and Forecast, by Component (2020-2032)
13.1.6.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.1.6.3. Market Revenue and Forecast, by Application (2020-2032)
13.1.6.4. Market Revenue and Forecast, by Enterprises (2020-2032)
13.1.6.5. Market Revenue and Forecast, by End-User Industry (2020-2032)
13.1.7. Rest of North America
13.1.7.1. Market Revenue and Forecast, by Component (2020-2032)
13.1.7.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.1.7.3. Market Revenue and Forecast, by Application (2020-2032)
13.1.7.4. Market Revenue and Forecast, by Enterprises (2020-2032)
13.1.7.5. Market Revenue and Forecast, by End-User Industry (2020-2032)
13.2. Europe
13.2.1. Market Revenue and Forecast, by Component (2020-2032)
13.2.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.2.3. Market Revenue and Forecast, by Application (2020-2032)
13.2.4. Market Revenue and Forecast, by Enterprises (2020-2032)
13.2.5. Market Revenue and Forecast, by End-User Industry (2020-2032)
13.2.6. UK
13.2.6.1. Market Revenue and Forecast, by Component (2020-2032)
13.2.6.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.2.6.3. Market Revenue and Forecast, by Application (2020-2032)
13.2.7. Market Revenue and Forecast, by Enterprises (2020-2032)
13.2.8. Market Revenue and Forecast, by End-User Industry (2020-2032)
13.2.9. Germany
13.2.9.1. Market Revenue and Forecast, by Component (2020-2032)
13.2.9.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.2.9.3. Market Revenue and Forecast, by Application (2020-2032)
13.2.10. Market Revenue and Forecast, by Enterprises (2020-2032)
13.2.11. Market Revenue and Forecast, by End-User Industry (2020-2032)
13.2.12. France
13.2.12.1. Market Revenue and Forecast, by Component (2020-2032)
13.2.12.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.2.12.3. Market Revenue and Forecast, by Application (2020-2032)
13.2.12.4. Market Revenue and Forecast, by Enterprises (2020-2032)
13.2.13. Market Revenue and Forecast, by End-User Industry (2020-2032)
13.2.14. Rest of Europe
13.2.14.1. Market Revenue and Forecast, by Component (2020-2032)
13.2.14.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.2.14.3. Market Revenue and Forecast, by Application (2020-2032)
13.2.14.4. Market Revenue and Forecast, by Enterprises (2020-2032)
13.2.15. Market Revenue and Forecast, by End-User Industry (2020-2032)
13.3. APAC
13.3.1. Market Revenue and Forecast, by Component (2020-2032)
13.3.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.3.3. Market Revenue and Forecast, by Application (2020-2032)
13.3.4. Market Revenue and Forecast, by Enterprises (2020-2032)
13.3.5. Market Revenue and Forecast, by End-User Industry (2020-2032)
13.3.6. India
13.3.6.1. Market Revenue and Forecast, by Component (2020-2032)
13.3.6.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.3.6.3. Market Revenue and Forecast, by Application (2020-2032)
13.3.6.4. Market Revenue and Forecast, by Enterprises (2020-2032)
13.3.7. Market Revenue and Forecast, by End-User Industry (2020-2032)
13.3.8. China
13.3.8.1. Market Revenue and Forecast, by Component (2020-2032)
13.3.8.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.3.8.3. Market Revenue and Forecast, by Application (2020-2032)
13.3.8.4. Market Revenue and Forecast, by Enterprises (2020-2032)
13.3.9. Market Revenue and Forecast, by End-User Industry (2020-2032)
13.3.10. Japan
13.3.10.1. Market Revenue and Forecast, by Component (2020-2032)
13.3.10.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.3.10.3. Market Revenue and Forecast, by Application (2020-2032)
13.3.10.4. Market Revenue and Forecast, by Enterprises (2020-2032)
13.3.10.5. Market Revenue and Forecast, by End-User Industry (2020-2032)
13.3.11. Rest of APAC
13.3.11.1. Market Revenue and Forecast, by Component (2020-2032)
13.3.11.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.3.11.3. Market Revenue and Forecast, by Application (2020-2032)
13.3.11.4. Market Revenue and Forecast, by Enterprises (2020-2032)
13.3.11.5. Market Revenue and Forecast, by End-User Industry (2020-2032)
13.4. MEA
13.4.1. Market Revenue and Forecast, by Component (2020-2032)
13.4.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.4.3. Market Revenue and Forecast, by Application (2020-2032)
13.4.4. Market Revenue and Forecast, by Enterprises (2020-2032)
13.4.5. Market Revenue and Forecast, by End-User Industry (2020-2032)
13.4.6. GCC
13.4.6.1. Market Revenue and Forecast, by Component (2020-2032)
13.4.6.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.4.6.3. Market Revenue and Forecast, by Application (2020-2032)
13.4.6.4. Market Revenue and Forecast, by Enterprises (2020-2032)
13.4.7. Market Revenue and Forecast, by End-User Industry (2020-2032)
13.4.8. North Africa
13.4.8.1. Market Revenue and Forecast, by Component (2020-2032)
13.4.8.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.4.8.3. Market Revenue and Forecast, by Application (2020-2032)
13.4.8.4. Market Revenue and Forecast, by Enterprises (2020-2032)
13.4.9. Market Revenue and Forecast, by End-User Industry (2020-2032)
13.4.10. South Africa
13.4.10.1. Market Revenue and Forecast, by Component (2020-2032)
13.4.10.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.4.10.3. Market Revenue and Forecast, by Application (2020-2032)
13.4.10.4. Market Revenue and Forecast, by Enterprises (2020-2032)
13.4.10.5. Market Revenue and Forecast, by End-User Industry (2020-2032)
13.4.11. Rest of MEA
13.4.11.1. Market Revenue and Forecast, by Component (2020-2032)
13.4.11.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.4.11.3. Market Revenue and Forecast, by Application (2020-2032)
13.4.11.4. Market Revenue and Forecast, by Enterprises (2020-2032)
13.4.11.5. Market Revenue and Forecast, by End-User Industry (2020-2032)
13.5. Latin America
13.5.1. Market Revenue and Forecast, by Component (2020-2032)
13.5.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.5.3. Market Revenue and Forecast, by Application (2020-2032)
13.5.4. Market Revenue and Forecast, by Enterprises (2020-2032)
13.5.5. Market Revenue and Forecast, by End-User Industry (2020-2032)
13.5.6. Brazil
13.5.6.1. Market Revenue and Forecast, by Component (2020-2032)
13.5.6.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.5.6.3. Market Revenue and Forecast, by Application (2020-2032)
13.5.6.4. Market Revenue and Forecast, by Enterprises (2020-2032)
13.5.7. Market Revenue and Forecast, by End-User Industry (2020-2032)
13.5.8. Rest of LATAM
13.5.8.1. Market Revenue and Forecast, by Component (2020-2032)
13.5.8.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.5.8.3. Market Revenue and Forecast, by Application (2020-2032)
13.5.8.4. Market Revenue and Forecast, by Enterprises (2020-2032)
13.5.8.5. Market Revenue and Forecast, by End-User Industry (2020-2032)
Chapter 14. Company Profiles
14.1. IBM
14.1.1. Company Overview
14.1.2. Product Offerings
14.1.3. Financial Performance
14.1.4. Recent Initiatives
14.2. Bright Pattern
14.2.1. Company Overview
14.2.2. Product Offerings
14.2.3. Financial Performance
14.2.4. Recent Initiatives
14.3. SAP
14.3.1. Company Overview
14.3.2. Product Offerings
14.3.3. Financial Performance
14.3.4. Recent Initiatives
14.4. Oracle
14.4.1. Company Overview
14.4.2. Product Offerings
14.4.3. Financial Performance
14.4.4. Recent Initiatives
14.5. Avaya
14.5.1. Company Overview
14.5.2. Product Offerings
14.5.3. Financial Performance
14.5.4. Recent Initiatives
14.6. Jio Haptik Technologies
14.6.1. Company Overview
14.6.2. Product Offerings
14.6.3. Financial Performance
14.6.4. Recent Initiatives
14.7. SMartAction LLC
14.7.1. Company Overview
14.7.2. Product Offerings
14.7.3. Financial Performance
14.7.4. Recent Initiatives
14.8. Zendesk
14.8.1. Company Overview
14.8.2. Product Offerings
14.8.3. Financial Performance
14.8.4. Recent Initiatives
14.9. NICE
14.9.1. Company Overview
14.9.2. Product Offerings
14.9.3. Financial Performance
14.9.4. Recent Initiatives
Chapter 15. Research Methodology
15.1. Primary Research
15.2. Secondary Research
15.3. Assumptions
Chapter 16. Appendix
16.1. About Us
16.2. Glossary of Terms
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