Call Center AI Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032

Call Center AI Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032



Growth Factors of Call Center AI Market

The call center AI market size was valued at USD 1.60 billion in 2023, and the market is now projected to grow from USD 1.95 billion in 2024 to USD 10.07 billion by 2032, exhibiting a CAGR of 22.7 % during the forecast period of 2024-2032.

The worldwide marketplace increase in name middle AI is fueled through COVID-19-driven progressive technology like omnichannel answers and fine assurance tech. These improvements enhance purchaser engagement and provide hyper-customized experiences. Yet, the pandemic has also appreciably fashioned marketplace dynamics.

The marketplace is experiencing increase pushed via establishments adopting AI in client offerings, transitioning to AI-powered chatbots for advanced customer stories. AI equips touch center agents with facts for higher upselling possibilities. Businesses leverage AI digital marketers to automate duties like inquiries and technical help, riding market enlargement. Contact middle AI vendors facilitate AI adoption, boosting market increase without requiring giant AI knowledge.

Advancements in AI and ML technology permit actual-time actionable client insights, fostering market boom. Across sectors like IT, BFSI, healthcare, and retail, AI packages forecast results and automate strategies in touch facilities. This stability in customer support complements customer pleasure at the same time as optimizing aid channels throughout peak instances, using market expansion.

Comprehensive Analysis of Call Center AI Market

The call center AI market growth is rising at an exponential rate due to its market segmentation. This market expansion effectively provides a detailed regional assessment considering the dominant supply and demand forces that impact the industry. These segmentations are methodically segregated by application analysis, by deployment analysis, by enterprise type analysis, by channel analysis, by industry analysis. By application analysis incudes, predictive call routing, journey orchestration, quality management, sentiment analysis, workforce management & advanced scheduling, and others. By deployment analysis incudes, cloud-based and on-premise. By enterprise type analysis incudes, large enterprises, and small & medium enterprises. By channel analysis incudes, social media, phone, chat, website and email or text. By industry analysis BFSI, IT & Telecommunication, Retail & Ecommerce, Healthcare, Energy & Utilities, Travel & Hospitality, and others.

The North America region lead the call center AI market share by benefitting a market size of USD 0.58 billion in 2023 due to the region's call centers’ rising implementation of contact center AI technologies.

The top players in the market play a crucial role in the industry assuring market growth and setting market standards. These players include IBM, NICE, Zendesk, BrightPattern, SmartAction LLC, Artificial Solutions, SAP, Oracle, Avaya Inc., and Jio Haptik Technologies Ltd these market players provide a level-playing competitive landscape.

In February 2024, Wipro Limited's collaboration with IBM advances AI adoption through the Wipro Enterprise AI-Ready Platform, offering interoperable services and joint solutions for reliable, robust AI implementations.

Segmentation Table

Attribute Details

Study Period 2019-2032

Base Year 2023

Estimated Year 2024

Forecast Period 2024-2032

Historical Period 2019-2022

Growth Rate CAGR of 22.7% from 2024 to 2032

Unit Value (USD Billion)

Segmentation By Application

Predictive Call Routing

Journey Orchestration

Quality Management

Sentiment Analysis

Workforce Management & Advanced Scheduling

Others (Call center reporting and others)

By Deployment

Cloud-based

On-premises

By Enterprise Type

Large Enterprises

Small & Medium Enterprises

By Channel

Social Media

Phone

Chat

Website

Email or Text

By Industry

BFSI

IT & Telecommunication

Retail & Ecommerce

Healthcare

Energy & Utilities

Travels & Hospitality

Others (Government and Education)

By Region

North America (By Application, By Deployment, By Enterprise Type, By Channel, By Industry, and By Country)

U.S. (By Industry)

Canada (By Industry)

Mexico (By Industry)

South America (By Application, By Deployment, By Enterprise Type, By Channel, By Industry, and By Country)

Brazil (By Industry)

Argentina (By Industry)

Rest of South America

Europe (By Application, By Deployment, By Enterprise Type, By Channel, By Industry, and By Country)

Germany (By Industry)

France (By Industry)

Italy (By Industry)

Spain (By Industry)

Russia (By Industry)

Benelux (By Industry)

Nordics (By Industry)

Rest of Europe

Middle East & Africa (By Application, By Deployment, By Enterprise Type, By Channel, By Industry, and By Country)

Turkey (By Industry)

Israel (By Industry)

GCC (By Industry)

South Africa (By Industry)

North Africa (By Industry)

Rest of the Middle East & Africa

Asia Pacific (By Application, By Deployment, By Enterprise Type, By Channel, By Industry, and By Country)

China (By Industry)

India (By Industry)

Japan (By Industry)

South Korea (By Industry)

ASEAN (By Industry)

Oceania (By Industry)

Rest of Asia Pacific


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1. Introduction
1.1. Definition, By Segment
1.2. Research Methodology/Approach
1.3. Data Sources
2. Executive Summary
3. Market Dynamics
3.1. Macro and Micro Economic Indicators
3.2. Drivers, Restraints, Opportunities and Trends
3.3. Impact of Generative AI
4. Competition Landscape
4.1. Business Strategies Adopted by Key Players
4.2. Consolidated SWOT Analysis of Key Players
4.3. Global Call Center AI Key Players Market Share/Ranking, 2023
5. Global Call Center AI Market Size Estimates and Forecasts, By Segments, 2019-2032
5.1. Key Findings
5.2. By Application (USD)
5.2.1. Predictive Call Routing
5.2.2. Journey Orchestration
5.2.3. Quality Management
5.2.4. Sentiment Analysis
5.2.5. Workforce Management & Advanced Scheduling
5.2.6. Others (Call center reporting, etc.)
5.3. By Deployment (USD)
5.3.1. Cloud-based
5.3.2. On-premises
5.4. By Enterprise Type (USD)
5.4.1. Large Enterprises
5.4.2. Small & Medium Enterprises
5.5. By Channel (USD)
5.5.1. Social Media
5.5.2. Phone
5.5.3. Chat
5.5.4. Website
5.5.5. Email or Text
5.6. By Industry (USD)
5.6.1. BFSI
5.6.2. IT & Telecommunication
5.6.3. Retail & Ecommerce
5.6.4. Healthcare
5.6.5. Energy & Utilities
5.6.6. Travels & Hospitality
5.6.7. Others (Government, Education and etc.)
5.7. By Region (USD)
5.7.1. North America
5.7.2. South America
5.7.3. Europe
5.7.4. Middle East & Africa
5.7.5. Asia Pacific
6. North America Call Center AI Market Size Estimates and Forecasts, By Segments, 2019-2032
6.1. Key Findings
6.2. By Application (USD)
6.2.1. Predictive Call Routing
6.2.2. Journey Orchestration
6.2.3. Quality Management
6.2.4. Sentiment Analysis
6.2.5. Workforce Management & Advanced Scheduling
6.2.6. Others (Call center reporting, etc.)
6.3. By Deployment (USD)
6.3.1. Cloud-based
6.3.2. On-premises
6.4. By Enterprise Type (USD)
6.4.1. Large Enterprises
6.4.2. Small & Medium Enterprises
6.5. By Channel (USD)
6.5.1. Social Media
6.5.2. Phone
6.5.3. Chat
6.5.4. Website
6.5.5. Email or Text
6.6. By Industry (USD)
6.6.1. BFSI
6.6.2. IT & Telecommunication
6.6.3. Retail & Ecommerce
6.6.4. Healthcare
6.6.5. Energy & Utilities
6.6.6. Travels & Hospitality
6.6.7. Others (Government, Education and etc.)
6.7. By Country (USD)
6.7.1. United States
6.7.1.1. By Industry
6.7.2. Canada
6.7.2.1. By Industry
6.7.3. Mexico
6.7.3.1. By Industry
7. South America Call Center AI Market Size Estimates and Forecasts, By Segments, 2019-2032
7.1. Key Findings
7.2. By Application (USD)
7.2.1. Predictive Call Routing
7.2.2. Journey Orchestration
7.2.3. Quality Management
7.2.4. Sentiment Analysis
7.2.5. Workforce Management & Advanced Scheduling
7.2.6. Others (Call center reporting, etc.)
7.3. By Deployment (USD)
7.3.1. Cloud-based
7.3.2. On-premises
7.4. By Enterprise Type (USD)
7.4.1. Large Enterprises
7.4.2. Small & Medium Enterprises
7.5. By Channel (USD)
7.5.1. Social Media
7.5.2. Phone
7.5.3. Chat
7.5.4. Website
7.5.5. Email or Text
7.6. By Industry (USD)
7.6.1. BFSI
7.6.2. IT & Telecommunication
7.6.3. Retail & Ecommerce
7.6.4. Healthcare
7.6.5. Energy & Utilities
7.6.6. Travels & Hospitality
7.6.7. Others (Government, Education and etc.)
7.7. By Country (USD)
7.7.1. Brazil
7.7.1.1. By Industry
7.7.2. Argentina
7.7.2.1. By Industry
7.7.3. Rest of South America
8. Europe Call Center AI Market Size Estimates and Forecasts, By Segments, 2019-2032
8.1. Key Findings
8.2. By Application (USD)
8.2.1. Predictive Call Routing
8.2.2. Journey Orchestration
8.2.3. Quality Management
8.2.4. Sentiment Analysis
8.2.5. Workforce Management & Advanced Scheduling
8.2.6. Others (Call center reporting, etc.)
8.3. By Deployment (USD)
8.3.1. Cloud-based
8.3.2. On-premises
8.4. By Enterprise Type (USD)
8.4.1. Large Enterprises
8.4.2. Small & Medium Enterprises
8.5. By Channel (USD)
8.5.1. Social Media
8.5.2. Phone
8.5.3. Chat
8.5.4. Website
8.5.5. Email or Text
8.6. By Industry (USD)
8.6.1. BFSI
8.6.2. IT & Telecommunication
8.6.3. Retail & Ecommerce
8.6.4. Healthcare
8.6.5. Energy & Utilities
8.6.6. Travels & Hospitality
8.6.7. Others (Government, Education and etc.)
8.7. By Country (USD)
8.7.1. United Kingdom
8.7.1.1. By Industry
8.7.2. Germany
8.7.2.1. By Industry
8.7.3. France
8.7.3.1. By Industry
8.7.4. Italy
8.7.4.1. By Industry
8.7.5. Spain
8.7.5.1. By Industry
8.7.6. Russia
8.7.6.1. By Industry
8.7.7. Benelux
8.7.7.1. By Industry
8.7.8. Nordics
8.7.8.1. By Industry
8.7.9. Rest of Europe
9. Middle East & Africa Call Center AI Market Size Estimates and Forecasts, By Segments, 2019-2032
9.1. Key Findings
9.2. By Application (USD)
9.2.1. Predictive Call Routing
9.2.2. Journey Orchestration
9.2.3. Quality Management
9.2.4. Sentiment Analysis
9.2.5. Workforce Management & Advanced Scheduling
9.2.6. Others (Call center reporting, etc.)
9.3. By Deployment (USD)
9.3.1. Cloud-based
9.3.2. On-premises
9.4. By Enterprise Type (USD)
9.4.1. Large Enterprises
9.4.2. Small & Medium Enterprises
9.5. By Channel (USD)
9.5.1. Social Media
9.5.2. Phone
9.5.3. Chat
9.5.4. Website
9.5.5. Email or Text
9.6. By Industry (USD)
9.6.1. BFSI
9.6.2. IT & Telecommunication
9.6.3. Retail & Ecommerce
9.6.4. Healthcare
9.6.5. Energy & Utilities
9.6.6. Travels & Hospitality
9.6.7. Others (Government, Education and etc.)
9.7. By Country (USD)
9.7.1. Turkey
9.7.1.1. By Industry
9.7.2. Israel
9.7.2.1. By Industry
9.7.3. GCC
9.7.3.1. By Industry
9.7.4. North Africa
9.7.4.1. By Industry
9.7.5. South Africa
9.7.5.1. By Industry
9.7.6. Rest of MEA
10. Asia Pacific Call Center AI Market Size Estimates and Forecasts, By Segments, 2019-2032
10.1. Key Findings
10.2. By Application (USD)
10.2.1. Predictive Call Routing
10.2.2. Journey Orchestration
10.2.3. Quality Management
10.2.4. Sentiment Analysis
10.2.5. Workforce Management & Advanced Scheduling
10.2.6. Others (Call center reporting, etc.)
10.3. By Deployment (USD)
10.3.1. Cloud-based
10.3.2. On-premises
10.4. By Enterprise Type (USD)
10.4.1. Large Enterprises
10.4.2. Small & Medium Enterprises
10.5. By Channel (USD)
10.5.1. Social Media
10.5.2. Phone
10.5.3. Chat
10.5.4. Website
10.5.5. Email or Text
10.6. By Industry (USD)
10.6.1. BFSI
10.6.2. IT & Telecommunication
10.6.3. Retail & Ecommerce
10.6.4. Healthcare
10.6.5. Energy & Utilities
10.6.6. Travels & Hospitality
10.6.7. Others (Government, Education and etc.)
10.7. By Country (USD)
10.7.1. China
10.7.1.1. By Industry
10.7.2. India
10.7.2.1. By Industry
10.7.3. Japan
10.7.3.1. By Industry
10.7.4. South Korea
10.7.4.1. By Industry
10.7.5. ASEAN
10.7.5.1. By Industry
10.7.6. Oceania
10.7.6.1. By Industry
10.7.7. Rest of Asia Pacific
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
11.1. IBM Corporation
11.1.1. Overview
11.1.1.1. Key Management
11.1.1.2. Headquarters
11.1.1.3. Offerings/Business Segments
11.1.2. Key Details (Key details are consolidated data and not product/service specific)
11.1.2.1. Employee Size
11.1.2.2. Past and Current Revenue
11.1.2.3. Geographical Share
11.1.2.4. Business Segment Share
11.1.2.5. Recent Developments
11.2. NICE
11.2.1. Overview
11.2.1.1. Key Management
11.2.1.2. Headquarters
11.2.1.3. Offerings/Business Segments
11.2.2. Key Details (Key details are consolidated data and not product/service specific)
11.2.2.1. Employee Size
11.2.2.2. Past and Current Revenue
11.2.2.3. Geographical Share
11.2.2.4. Business Segment Share
11.2.2.5. Recent Developments
11.3. Zendesk
11.3.1. Overview
11.3.1.1. Key Management
11.3.1.2. Headquarters
11.3.1.3. Offerings/Business Segments
11.3.2. Key Details (Key details are consolidated data and not product/service specific)
11.3.2.1. Employee Size
11.3.2.2. Past and Current Revenue
11.3.2.3. Geographical Share
11.3.2.4. Business Segment Share
11.3.2.5. Recent Developments
11.4. BrightPattern
11.4.1. Overview
11.4.1.1. Key Management
11.4.1.2. Headquarters
11.4.1.3. Offerings/Business Segments
11.4.2. Key Details (Key details are consolidated data and not product/service specific)
11.4.2.1. Employee Size
11.4.2.2. Past and Current Revenue
11.4.2.3. Geographical Share
11.4.2.4. Business Segment Share
11.4.2.5. Recent Developments
11.5. SmartAction LLC
11.5.1. Overview
11.5.1.1. Key Management
11.5.1.2. Headquarters
11.5.1.3. Offerings/Business Segments
11.5.2. Key Details (Key details are consolidated data and not product/service specific)
11.5.2.1. Employee Size
11.5.2.2. Past and Current Revenue
11.5.2.3. Geographical Share
11.5.2.4. Business Segment Share
11.5.2.5. Recent Developments
11.6. Artificial Solutions
11.6.1. Overview
11.6.1.1. Key Management
11.6.1.2. Headquarters
11.6.1.3. Offerings/Business Segments
11.6.2. Key Details (Key details are consolidated data and not product/service specific)
11.6.2.1. Employee Size
11.6.2.2. Past and Current Revenue
11.6.2.3. Geographical Share
11.6.2.4. Business Segment Share
11.6.2.5. Recent Developments
11.7. SAP
11.7.1. Overview
11.7.1.1. Key Management
11.7.1.2. Headquarters
11.7.1.3. Offerings/Business Segments
11.7.2. Key Details (Key details are consolidated data and not product/service specific)
11.7.2.1. Employee Size
11.7.2.2. Past and Current Revenue
11.7.2.3. Geographical Share
11.7.2.4. Business Segment Share
11.7.2.5. Recent Developments
11.8. Oracle
11.8.1. Overview
11.8.1.1. Key Management
11.8.1.2. Headquarters
11.8.1.3. Offerings/Business Segments
11.8.2. Key Details (Key details are consolidated data and not product/service specific)
11.8.2.1. Employee Size
11.8.2.2. Past and Current Revenue
11.8.2.3. Geographical Share
11.8.2.4. Business Segment Share
11.8.2.5. Recent Developments
11.9. Avaya Inc.
11.9.1. Overview
11.9.1.1. Key Management
11.9.1.2. Headquarters
11.9.1.3. Offerings/Business Segments
11.9.2. Key Details (Key details are consolidated data and not product/service specific)
11.9.2.1. Employee Size
11.9.2.2. Past and Current Revenue
11.9.2.3. Geographical Share
11.9.2.4. Business Segment Share
11.9.2.5. Recent Developments
11.10. Jio Haptik Technologies Ltd.
11.10.1. Overview
11.10.1.1. Key Management
11.10.1.2. Headquarters
11.10.1.3. Offerings/Business Segments
11.10.2. Key Details (Key details are consolidated data and not product/service specific)
11.10.2.1. Employee Size
11.10.2.2. Past and Current Revenue
11.10.2.3. Geographical Share
11.10.2.4. Business Segment Share
11.10.2.5. Recent Developments
12. Key Takeaways

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