April 24, 2024
ICT

Call Center AI Market Size to Garner USD 17.05 Billion by 2032

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.

Call Center AI Market Size 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.

Get a Sample: 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 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

Contact Us:

Mr. Alex

Sales Manager

Call: +1 9197 992 333

Email: sales@precedenceresearch.com

Web: https://www.precedenceresearch.com

Blog: https://www.pharma-geek.com

Prathamesh

I have completed my education in Bachelors in Computer Application. A focused learner having a keen interest in the field of digital marketing, SEO, SMM, and Google Analytics enthusiastic to learn new things along with building leadership skills.

View all posts by Prathamesh →

Leave a Reply

Your email address will not be published. Required fields are marked *