by The call center AI market size is poised to grow by USD 17.05 billion by 2032 from USD 2.13 billion in 2022, exhibiting a CAGR of 23.12% during the forecast period 2023-2032.
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.
Precedence Research has conducted a comprehensive market study that provides valuable insights into the performance of the market during the forecast period. The study identifies significant trends that are shaping the growth of the Call center AI market. In this recently published report, essential dynamics such as drivers, restraints, and opportunities are highlighted for both established market players and emerging participants involved in production and supply.
To begin with, the Call center AI Market report features an executive summary that offers a concise overview of the marketplace. It outlines the key players and industry categories expected to have an impact on the market in the coming years. The executive summary provides an unbiased summary of the market.
Get a Sample Report: https://www.precedenceresearch.com/sample/3104
Call Center AI Market Report Scope
| Report Coverage | Details |
| Market Size in 2023 | USD 2.62 Billion |
| Market Size by 2032 | USD 17.05 Billion |
| Growth Rate from 2023 to 2032 | CAGR of 23.12% |
| Largest Market | North America |
| Base Year | 2022 |
| Forecast Period | 2023 to 2032 |
| Segments Covered | By Component, By Deployment, By Application, By Enterprises, and By End-User Industry |
| Regions Covered | North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa |
Read More: Generative AI in Customer Services Market Size To Gain USD 2,897.57 Bn by 2032
The empirical study on the global Call center AI market primarily focuses on the drivers in subsequent sections. It demonstrates how changing demographics are projected to influence the supply and demand dynamics in the Call center AI Market. Our market report for the Call center AI market also delves into the significant rules and regulations that are likely to impact the future growth of this sector. Moreover, in order to comprehend the underlying demand factors, industry experts have provided insights into its fundamental origins.
Top Key Players:
- IBM
- Bright Pattern
- SAP
- Oracle
- Avaya
- Jio Haptik Technologies
- SMartAction LLC
- Zendesk
- NICE
Data Sources and Methodology
To gather comprehensive insights on the Global Call center AI Market, we relied on a range of data sources and followed a well-defined methodology. Our approach involved interactions with industry experts and key stakeholders across the market’s value chain, including management organizations, processing organizations, and analytics service providers.
We followed a rigorous data analysis process to ensure the quality and credibility of our research. The gathered information was carefully evaluated, and relevant quantitative data was subjected to statistical analysis. By employing robust analytical techniques, we were able to derive meaningful insights and present a comprehensive overview of the Global Call center AI Market.
The most resonating, simple, genuine, and important causes because of which you must decide to buy the Call center AI market report exclusively from precedence research
- The research report has been meticulously crafted to provide comprehensive knowledge on essential marketing strategies and a holistic understanding of crucial marketing plans spanning the forecasted period from 2023 to 2032.
Key Features of the Report:
- Comprehensive Coverage: The report extensively encompasses a detailed explanation of highly effective analytical marketing methods applicable to companies across all industry sectors.
- Decision-Making Enhancement: It outlines a concise overview of the decision-making process while highlighting key techniques to enhance it, ensuring favorable business outcomes in the future.
- Articulated R&D Approach: The report presents a well-defined approach to conducting research and development (R&D) activities, enabling accurate data acquisition on current and future marketing conditions.
Call Center AI 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
Reasons to Consider Purchasing the Report:
- Enhance your market research capabilities by accessing this comprehensive and precise report on the global Call center AI market.
- Gain a thorough understanding of the overall market landscape and be prepared to overcome challenges while ensuring robust growth.
- Benefit from in-depth research and analysis of the latest trends shaping the global Call center AI market.
- Obtain detailed insights into evolving market trends, current and future technologies, and strategic approaches employed by key players in the global Call center AI market.
- Receive valuable recommendations and guidance for both new entrants and established players seeking further market expansion.
- Discover not only the cutting-edge technological advancements in the global Call center AI market but also the strategic plans of industry leaders.
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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