Call Center AI Market by Component (Services, Software), Application (Agent Performance Management, Appointment Scheduling, Journey Orchestration), Deployment, Organization, Vertical - Global Forecast 2024-2030

Call Center AI Market by Component (Services, Software), Application (Agent Performance Management, Appointment Scheduling, Journey Orchestration), Deployment, Organization, Vertical - Global Forecast 2024-2030


The Call Center AI Market size was estimated at USD 2.40 billion in 2023 and expected to reach USD 2.90 billion in 2024, at a CAGR 22.34% to reach USD 9.85 billion by 2030.

Call center AI, also known as artificial intelligence in call centers, functions as an automated system designed to streamline customer interactions while enhancing efficiency and productivity. This sophisticated technology utilizes machine learning algorithms and natural language processing to understand, interpret, and respond to customer inquiries, providing 24/7 virtual assistance. Automating tasks such as call routing, data collection, and routine customer queries with call center AI software reduces human involvement, allowing staff to focus on more complex and qualitative tasks. Advancements in AI and machine learning technologies, the push towards digitization, and the need for cost-effectiveness in customer service operations have accelerated the demand for call center AI. However, data privacy issues, the risk of technology failure or glitches, and the cost of implementing and maintaining AI solutions have impeded their widespread adoption. Market players are developing advanced predictive analytics for more accurate demand forecasting, AI-enabled training modules for enhancing agent performance, human-like conversational AI for better customer engagement, and secure data handling solutions that address privacy concerns. Rigorous research and development in these areas is expected to make the call center AI market a lucrative area for investment in the future.

Regional Insights

In the Americas, call center AI has been widely adopted, mainly in the U.S. and Canada, being home to major technology providers offering diverse solutions for end-users. E-commerce platforms, telecommunication companies, and financial services have shown positive growth and productivity enhancements due to these technologies. Predominantly in technologically advanced countries like Japan, South Korea, and Singapore, AI has been integrated into call centers, providing multilingual support and real-time customer assistance. In developing economies of India, the Philippines, and others, AI startups are emerging in the call center AI market. Asia is also a significant outsourcing hub for call centers, and the adoption of AI solutions is on the rise to handle the increasing volume of customer interactions. Europe's emphasis on data protection and customer privacy has cautiously implemented call center AI, ensuring GDPR compliance. AI-powered chatbots and voice assistants have gained popularity in nations such as Germany, France, and the UK, guaranteeing 24/7 customer support. In Eastern Europe, markets are catching up with the adoption across healthcare and telecom industries, focusing on training the existing workforce about AI technologies to ensure a seamless transition.

Market Insights

Market Dynamics

The market dynamics represent an ever-changing landscape of the Call Center AI Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.

Market Drivers
  • Proliferation in data generation through social media and IoT
  • Rising customer engagement via social media platforms
  • Provision for improved customer support services with the use of AI in organizations
Market Restraints
  • Dearth of skilled employees and predisposition for online chats over chatbots
Market Opportunities
  • Robust research and development in gesture recognition technology with chatbots and virtual assistants
  • Ongoing product launches with machine learning and artificial intelligence
Market Challenges
  • Concerns over data privacy and security
Market Segmentation Analysis
  • Component: Development of high-performing call center AI software to provide enhanced customer experience
  • Deployment: Increased scalability, cost-effectiveness, and ease of updates offered by on-cloud call center AI
  • Application: Exponential adoption of AI for optimizing agent performance in call centers
  • Vertical: Extensive usability of call center AI in banking, finance, and insurance sectors
Market Disruption Analysis
  • Porter’s Five Forces Analysis
  • Value Chain & Critical Path Analysis
  • Pricing Analysis
  • Technology Analysis
  • Patent Analysis
  • Trade Analysis
  • Regulatory Framework Analysis
FPNV Positioning Matrix

The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Call Center AI Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Call Center AI Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Recent Developments

Cubix Asset Management Launches AI-Powered Chatbot and Call Center Services

Cubix Asset Management has introduced an AI-powered chatbot for their call center operations, equipped with natural language processing capabilities, efficiently comprehends customer inquiries with speed and accuracy. Additionally, AI-powered chatbot seamlessly integrates with existing call center systems, effectively greeting customers, addressing basic inquiries, and facilitating call transfers as required.

JustCall Launches AI-driven Platform To Improve Call Center Ops Via Sentiment Analysis

JustCall by SaaSLabs has introduced JustCall iQ, an AI-powered conversational intelligence platform designed specifically for SMBs in the call center industry. This AI-powered tool leverages natural language processing to offer valuable insights into customer behavior, detect tone and emotional nuances in customer conversations, and assess the effectiveness of various campaigns. By incorporating these advanced features, JustCall enables businesses to gain a deeper understanding of their customers' needs and ultimately deliver exceptional customer experiences.

Zoom Announces Partnership with Anthropic for AI Call Center Services

Zoom Video Communications, Inc. has partnered with Anthropic to offer AI-powered call center services to assist companies that heavily rely on customer support. By leveraging this AI system, Zoom Video Communications, Inc. aims to assist call center agents in understanding caller intent, providing quick access to relevant information, and offering insights that can be utilized for call center training. This partnership between Zoom Video Communications, Inc. and Anthropic brings advanced solutions to the call center industry, benefiting both businesses and their customers.

Strategy Analysis & Recommendation

The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Call Center AI Market. This critical assessment involves a thorough analysis of the organization’s resources, capabilities, and overall performance to identify its core strengths and areas for improvement.

Key Company Profiles

The report delves into recent significant developments in the Call Center AI Market, highlighting leading vendors and their innovative profiles. These include Artificial Solutions, Avaya Holdings Corp., Cognigy GmbH, Conversica, Inc., Cresta Intelligence, Inc., Dialpad, Inc., Five9, Inc. by Zoom Video Communications, Inc., Gemshelf Inc., Google, LLC by Alphabet, Inc., Inbenta Technologies Inc., Infinitus Systems, Inc., International Business Machines Corporation, Jio Haptik Technologies Limited, Kore.ai, Inc., Level AI, LivePerson, Inc., Microsoft Corporation, Nextiva, Inc., Oracle Corporation, Parloa GmbH, PolyAI Limited, Pypestream Inc., Replicant Solutions, Inc., RingCentral, Inc., Rulai, Inc., SAP SE, Skit USA, Inc., Talkdesk, Uniphore Technologies Inc., and Zendesk, Inc..

Market Segmentation & Coverage

This research report categorizes the Call Center AI Market to forecast the revenues and analyze trends in each of the following sub-markets:
  • Component
  • Services
  • Consulting
  • Support & Maintenance
  • System Integration & Deployment
  • Software
  • Application
  • Agent Performance Management
  • Appointment Scheduling
  • Journey Orchestration
  • Predictive Call Routing
  • Sentiment Analysis
  • Workforce Optimization
  • Deployment
  • On-Cloud
  • On-Premises
  • Organization
  • Large Enterprises
  • Small & Medium Enterprises
  • Vertical
  • Banking, Financial Services, & Insurance (BFSI)
  • Healthcare
  • Media & Entertainment
  • Retail & E-Commerce
  • Telecom
  • Travel & Hospitality
Region
  • Americas
  • Argentina
  • Brazil
  • Canada
  • Mexico
  • United States
  • California
  • Florida
  • Illinois
  • New York
  • Ohio
  • Pennsylvania
  • Texas
  • Asia-Pacific
  • Australia
  • China
  • India
  • Indonesia
  • Japan
  • Malaysia
  • Philippines
  • Singapore
  • South Korea
  • Taiwan
  • Thailand
  • Vietnam
  • Europe, Middle East & Africa
  • Denmark
  • Egypt
  • Finland
  • France
  • Germany
  • Israel
  • Italy
  • Netherlands
  • Nigeria
  • Norway
  • Poland
  • Qatar
  • Russia
  • Saudi Arabia
  • South Africa
  • Spain
  • Sweden
  • Switzerland
  • Turkey
  • United Arab Emirates
  • United Kingdom


Please Note: PDF & Excel + Online Access - 1 Year


1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Proliferation in data generation through social media and IoT
5.1.1.2. Rising customer engagement via social media platforms
5.1.1.3. Provision for improved customer support services with the use of AI in organizations
5.1.2. Restraints
5.1.2.1. Dearth of skilled employees and predisposition for online chats over chatbots
5.1.3. Opportunities
5.1.3.1. Robust research and development in gesture recognition technology with chatbots and virtual assistants
5.1.3.2. Ongoing product launches with machine learning and artificial intelligence
5.1.4. Challenges
5.1.4.1. Concerns over data privacy and security
5.2. Market Segmentation Analysis
5.2.1. Component: Development of high-performing call center AI software to provide enhanced customer experience
5.2.2. Deployment: Increased scalability, cost-effectiveness, and ease of updates offered by on-cloud call center AI
5.2.3. Application: Exponential adoption of AI for optimizing agent performance in call centers
5.2.4. Vertical: Extensive usability of call center AI in banking, finance, and insurance sectors
5.3. Market Disruption Analysis
5.4. Porter’s Five Forces Analysis
5.4.1. Threat of New Entrants
5.4.2. Threat of Substitutes
5.4.3. Bargaining Power of Customers
5.4.4. Bargaining Power of Suppliers
5.4.5. Industry Rivalry
5.5. Value Chain & Critical Path Analysis
5.6. Pricing Analysis
5.7. Technology Analysis
5.8. Patent Analysis
5.9. Trade Analysis
5.10. Regulatory Framework Analysis
6. Call Center AI Market, by Component
6.1. Introduction
6.2. Services
6.3. Software
7. Call Center AI Market, by Application
7.1. Introduction
7.2. Agent Performance Management
7.3. Appointment Scheduling
7.4. Journey Orchestration
7.5. Predictive Call Routing
7.6. Sentiment Analysis
7.7. Workforce Optimization
8. Call Center AI Market, by Deployment
8.1. Introduction
8.2. On-Cloud
8.3. On-Premises
9. Call Center AI Market, by Organization
9.1. Introduction
9.2. Large Enterprises
9.3. Small & Medium Enterprises
10. Call Center AI Market, by Vertical
10.1. Introduction
10.2. Banking, Financial Services, & Insurance (BFSI)
10.3. Healthcare
10.4. Media & Entertainment
10.5. Retail & E-Commerce
10.6. Telecom
10.7. Travel & Hospitality
11. Americas Call Center AI Market
11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States
12. Asia-Pacific Call Center AI Market
12.1. Introduction
12.2. Australia
12.3. China
12.4. India
12.5. Indonesia
12.6. Japan
12.7. Malaysia
12.8. Philippines
12.9. Singapore
12.10. South Korea
12.11. Taiwan
12.12. Thailand
12.13. Vietnam
13. Europe, Middle East & Africa Call Center AI Market
13.1. Introduction
13.2. Denmark
13.3. Egypt
13.4. Finland
13.5. France
13.6. Germany
13.7. Israel
13.8. Italy
13.9. Netherlands
13.10. Nigeria
13.11. Norway
13.12. Poland
13.13. Qatar
13.14. Russia
13.15. Saudi Arabia
13.16. South Africa
13.17. Spain
13.18. Sweden
13.19. Switzerland
13.20. Turkey
13.21. United Arab Emirates
13.22. United Kingdom
14. Competitive Landscape
14.1. Market Share Analysis, 2023
14.2. FPNV Positioning Matrix, 2023
14.3. Competitive Scenario Analysis
14.3.1. Cubix Asset Management Launches AI-Powered Chatbot and Call Center Services
14.3.2. JustCall Launches AI-driven Platform To Improve Call Center Ops Via Sentiment Analysis
14.3.3. Zoom Announces Partnership with Anthropic for AI Call Center Services
14.3.4. Artificial Solutions Launches OpenQuestion, a New Voice and Conversational IVR Solution, and Unveils a New Website, Teneo.ai
14.4. Strategy Analysis & Recommendation
15. Competitive Portfolio
15.1. Key Company Profiles
15.2. Key Product Portfolio

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