According to the new research report published by Precedence Research, titled “Call Center AI Market (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) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032 (By Product: Traditional, Advanced; By Application: Pottery, Tiles, Abrasives, Sanitary wave, Bricks & pipes, Others; By End User: Medical, Industrial, Building & Construction, Others) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032”, the global call center AI market size is expected to be worth around US$ 17.05 billion by 2032 and is poised to record a yearly growth rate of 23.12% from 2023 to 2032. The study investigates several elements and their consequences on the growth of the all-wheel drive market.
This report focuses on call center AI market volume and value at the global level, regional level and company level. From a global perspective, this report represents the overall call center AI market size by analysing historical data and future prospects. Regionally, this report focuses on several key regions: North America, Europe, the Middle East & Africa, Latin America, etc.
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 research report includes specific segments by region (country), by company, by all segments. This study provides information about the growth and revenue during the historic and forecasted period of 2017 to 2032. Understanding the segments helps in identifying the importance of different factors that aid the market growth.
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The study also provides important advancements in organic and inorganic growth strategies in the worldwide call center AI market. A lot of corporations are prioritizing new launches, product approvals, and other business expansion techniques. In addition, the report offers profiles of call center AI market firms and market strategies. Furthermore, the research focuses on top industry participants, providing information such as company profiles, components and services offered, recent financial data, and key developments.
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 |
Also read: Generative AI in Customer Services Market Size US$ 2,897.57 Million by 2032
Major Key Points Covered in Report:
Executive Summary: It includes key trends of the electric vehicle fuel cell market related to products, applications, and other crucial factors. It also provides analysis of the competitive landscape and CAGR and market size of the electric vehicle fuel cell market based on production and revenue.
Production and Consumption by Region: It covers all regional markets to which the research study relates. Prices and key players in addition to production and consumption in each regional market are discussed.
Key Players: Here, the report throws light on financial ratios, pricing structure, production cost, gross profit, sales volume, revenue, and gross margin of leading and prominent companies competing in the Electric vehicle fuel cell market.
Market Segments: This part of the report discusses product, application and other segments of the electric vehicle fuel cell market based on market share, CAGR, market size, and various other factors.
Research Methodology: This section discusses the research methodology and approach used to prepare the report. It covers data triangulation, market breakdown, market size estimation, and research design and/or programs.
Market Key Players
Company profiles have been included in the report, which include essentials such as product portfolio, key strategies, along with all-inclusive SWOT analysis on each player. Company presence is mapped and presented through a matrix for all the prominent players, thus providing readers with actionable insights, which helps in thoughtfully presenting market status and predicting the competition level in the call center AI market.
Some of the prominent players in the call center AI market include
- 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
Report Objectives
- To define, segment, and project the global market size for call center AI market
- To understand the structure of the market by identifying its various sub-segments
- To provide detailed information about the key factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
- To analyse the micro-markets, with respect to individual growth trends, future prospects, and their contributions to the total market
- To project the size of the market and its submarkets, in terms of value, with respect to global. (along with their respective key countries)
- To profile key players and comprehensively analyse their core competencies
- To understand the competitive landscape and identify major growth strategies adopted by players across the globe.
- To analyse the competitive developments such as expansions & investments, new product launches, mergers & acquisitions, joint ventures, and agreements
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
Why should you invest in this report?
If you are aiming to enter the global call center AI market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for call center AI are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2023-2030 so that you can plan your strategies to enter this market accordingly.
Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.
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