by The global call center AI market size was estimated to be around US$ 2.13 billion in 2022. It is projected to reach US$ 2.13 billion by 2032, indicating a compound annual growth rate (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 market research report on the Call center AI market provides a comprehensive analysis of various key aspects. It includes the definition, classification, and application of Call center AI products. The report examines the development trends, competitive landscape, and industrial chain structure within the industry. Furthermore, it presents an overview of the industry, analyzes national policies and planning, and offers insights into the latest market dynamics and opportunities at a global level.
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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 Garner USD 2,897.57 Million by 2032
The report presents the volume and value-based market size for the base year 2022 and forecasts the market’s growth between 2023 and 2032. It estimates market numbers based on product form and application, providing size and forecast for each application segment in both global and regional markets.
Focusing on the global Call center AI market, the report highlights its status, future forecasts, growth opportunities, key market players, and key market regions such as the United States, Europe, and China. The study aims to present the development of the Call center AI market by considering factors like Year-on-Year (Y-o-Y) growth, in addition to Compound Annual Growth Rate (CAGR). This approach enables a better understanding of market certainty and the identification of lucrative opportunities.
Regarding production, the report investigates the capacity, production, value, ex-factory price, growth rate, and market share of major manufacturers, regions, and product types. On the consumption side, the report focuses on the regional consumption of Call center AI products across different countries and applications.
Buyers of the report gain access to verified market figures, including global market size in terms of revenue and volume. The report provides reliable estimations and calculations for global revenue and volume by product type from 2023 to 2032. It also includes accurate figures for production capacity and production by region during the same period.
The research includes product parameters, production processes, cost structures, and data classified by region, technology, and application. Furthermore, it conducts SWOT analysis and investment feasibility studies for new projects.
This in-depth research report offers valuable insights into the Call center AI market. It employs an objective and fair approach to analyze industry trends, supporting customer competition analysis, development planning, and investment decision-making. The project received support and assistance from technicians and marketing personnel across various links in the industry chain.
The competitive landscape section of the report provides detailed information on Call center AI market competitors. It includes company overviews, financials, revenue generation, market potential, research and development investments, new market initiatives, global presence, production sites, production capacities, strengths and weaknesses, product launches, product range, and application dominance. However, the data points provided only focus on the companies’ activities related to the Call center AI market.
Prominent players in the market are expected to face tough competition from new entrants. Key players are targeting acquisitions of startup companies to maintain their dominance. The report
Reasons to Purchase this Report:
- Comprehensive market segmentation analysis incorporating qualitative and quantitative research, considering the impact of economic and policy factors.
- In-depth regional and country-level analysis, examining the demand and supply dynamics that influence market growth.
- Market size in USD million and volume in million units provided for each segment and sub-segment.
- Detailed competitive landscape, including market share of major players, recent projects, and strategies implemented over the past five years.
- Comprehensive company profiles encompassing product offerings, key financial information, recent developments, SWOT analysis, and employed strategies by major market players.
Key Players
- IBM
- Bright Pattern
- SAP
- Oracle
- Avaya
- Jio Haptik Technologies
- SMartAction LLC
- Zendesk
- NICE
Call Center AI Market Segmentations
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
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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