Call Centre AI Market Size, Share, Opportunities, And Trends By Component (Solution, Services (Professional Services, Managed Services)), By Deployment (Cloud, On-premises), By Enterprise Size (Large, SMEs), By Application (Predictive Call Routing, Journey Orchestration, Quality Management, Sentiment Analysis, Workforce Management & Advanced Scheduling, Others), And By Geography - Forecasts From 2023 To 2028

  • Published : Nov 2023
  • Report Code : KSI061616190
  • Pages : 146

The call center AI market is projected to show steady growth during the forecast period.

A call center AI, also known as a virtual call center or a virtual contact center, is a sophisticated technological system that employs a combination of advanced artificial intelligence, machine learning, and natural language processing algorithms. Its primary purpose is to proficiently manage and cater to a multitude of customer inquiries, concerns, and support requests that are typically received over the phone. The intricate framework of these AI systems enables them to swiftly comprehend and process the diverse range of queries posed by customers, responding in a manner that is not only swift but also effective in addressing the concerns at hand. The applications of call center AI are versatile, encompassing a spectrum of tasks that extend beyond basic query resolution. These tasks include but are not limited to, providing automated responses to frequently asked questions, intelligently directing calls to the appropriate departments within an organization, and even autonomously troubleshooting and resolving customer issues without necessitating human intervention. The adoption of call center AI holds substantial promise for businesses, as it can potentially enhance overall customer service while simultaneously streamlining operational costs. However, the deployment of call center AI is not without its apprehensions. There exist valid concerns regarding the credibility and reliability of the responses generated by these AI systems, especially in cases where complex or nuanced queries are involved. Additionally, there is a looming apprehension about the potential misuse of these systems, particularly about generating content that may be susceptible to plagiarism. Consequently, it is imperative for both enterprises and individuals utilizing call center AI to exercise responsible usage practices. This entails ensuring that the content produced by these systems is meticulously cited and attributed to avoid any inadvertent instances of plagiarism and uphold the integrity of the information being disseminated.


The call center AI market is a rapidly growing industry that is expected to transform the way companies handle customer inquiries and support requests. It is a market that is extensively categorized by various factors including components such as solutions and services, mode of channel, applications, deployment mode, organization size, verticals, and regions. The solutions segment is anticipated to hold a larger market share during the forecast period due to the increasing need for efficient and effective customer support services. This is possible because the algorithms of artificial intelligence employed in call centers are capable of offering services more effectively without human intervention. However, despite the positive growth trajectory, the market is constrained by certain factors. The increasing use of AI by organizations for customer support services, the growing role of social media in customer engagement, and the exponential surge of data through the Internet of Things (IoT) and social media are expected to bolster market growth. On the other hand, the lack of skilled labor and concerns related to unsupervised learning pose potential obstacles. Furthermore, the demand for call center AI is hindered by the expensive costs associated with installation and training, as well as concerns about privacy and security. Despite the challenges, generative AI has presented retailers and CPG companies with various opportunities to enhance cross-selling and upselling initiatives, while also facilitating the collection of insights to improve product offerings. The market itself is greatly influenced by enterprises' heightened focus on AI technology and the increased penetration of social media platforms. As of now, the global call center AI market appears to be fragmented, with the participation of numerous small-scale and large-scale companies contributing to its development and expansion.


  • Increased customer engagement through social media platforms: The proliferation of various social media platforms has significantly enhanced the opportunities for businesses to engage with their customers. With the increased accessibility and usage of these platforms, businesses have been compelled to revamp their customer service strategies. In this context, the implementation of call center AI has emerged as a game-changer, enabling businesses to address customer inquiries and support requests in a more streamlined and effective manner. By harnessing the capabilities of AI-driven solutions, businesses can not only ensure prompt and accurate responses to customer queries but also provide personalized and tailored support, thereby bolstering overall customer satisfaction and fostering long-term customer loyalty. This integration of call center AI within the framework of social media engagement has transformed the landscape of customer-business interactions, heralding a new era of efficient and responsive customer service.
  • Enhanced customer support services: The integration of AI technology within call centers has revolutionized the way businesses deliver customer support services, paving the way for a more efficient and satisfying customer experience. By leveraging sophisticated AI algorithms, companies can now meticulously scrutinize and interpret intricate customer data. This enables them to formulate tailored and personalized responses that resonate with individual customer needs, preferences, and concerns. As a result, this heightened level of personalization has substantially bolstered overall customer satisfaction levels and fostered a deeper sense of loyalty, leading to an increased rate of customer retention for businesses across various sectors.
  • Improved data analysis capabilities: Implementing call center AI systems within businesses can significantly enhance their capabilities to efficiently process and comprehend extensive pools of customer data. By effectively sifting through this wealth of information, these AI technologies can discern patterns, trends, and potential opportunities that might otherwise go unnoticed. Consequently, armed with these insights, businesses can make well-informed, data-driven decisions, fostering an environment of strategic growth and agility. This holistic approach toward data analysis enables businesses to refine their operational strategies, optimize customer interactions, and ultimately elevate their overall performance to unprecedented heights.
  • Increased focus on AI technology: In the rapidly evolving landscape of modern business, the integration of AI technology has become a pivotal strategy for enhancing operational efficiency and securing a coveted edge in the competitive market. Notably, the domain of call center operations has emerged as a prime focal point for the implementation of AI solutions, facilitating a substantial transformation in customer service dynamics and cost management. By leveraging AI-driven systems, businesses can streamline their call center operations, empowering them to deliver personalized, efficient, and prompt customer assistance while concurrently curtailing expenses associated with human resource management and training. This amalgamation of AI and call center functionalities not only fosters a seamless and hassle-free customer experience but also bolsters the overall efficacy and economic viability of the business, culminating in a sustainable and formidable market presence.
  • Penetration of social media platforms: The pervasive reach of social media platforms has altered the landscape for businesses, presenting a plethora of fresh prospects to foster direct interaction with customers and extend effective support services. Leveraging the power of call center AI, companies can proficiently manage and address a diverse array of inquiries and support demands spanning various platforms, including the dynamic realm of social media. Consequently, this integration not only holds the potential to enhance overall customer satisfaction but also catalyzes nurturing unwavering customer loyalty, thereby solidifying the brand-customer relationship.

Products offered by key companies:

  • NICE offers Contact center AI which is the use of artificial intelligence (AI) to improve the efficiency and effectiveness of contact centers. AI can be used to automate tasks, provide real-time assistance to agents, and analyze customer data to improve the customer experience.
  • IBM Watson AI offers a variety of features that can be used to improve customer service, such as natural language processing, machine learning, and deep learning.

Prominent growth in the solutions segment within the call center AI market:

The solutions segment, a key focal point within the call center AI market, is anticipated to witness substantial growth. This growth trajectory is primarily attributed to the increasing necessity for real-time management of intricate customer inquiries, coupled with the simultaneous drive to curtail operational expenses. Integrating AI within call centers holds the potential to yield significant cost reductions by automating mundane tasks and diminishing the dependence on human agents. The utilization of AI algorithms enables the swift analysis of copious amounts of customer data, thereby empowering businesses to glean invaluable insights into customer behavior and preferences in real time. Despite these promising prospects, the progression of the call center AI sector is impeded by the financial burden associated with installation and training costs, alongside persistent concerns regarding privacy and security. Notably, these solutions are designed to facilitate quicker and more streamlined deployment, ultimately fostering heightened levels of customer satisfaction and engendering loyalty.

The North American region is expected to hold a significant share of the call center AI market:

The North American region is anticipated to dominate a significant portion of the call center AI market, owing to various crucial reasons. Firstly, it is projected to hold the foremost share of the call center AI market during the projected period, primarily due to the early embracement of call center AI technologies by the call centers operating within the region. The prompt adoption has facilitated the integration of advanced AI solutions, leading to streamlined operations and enhanced efficiency. Furthermore, these AI solutions and services have proven to be exceptionally effective across diverse organizations and sectors in North America. This efficacy stems from the region's growing demand for innovative methods to harness and derive more value from their existing data assets. In addition, the call centers in North America commonly grapple with soaring call volumes, often overwhelming human agents and affecting overall operational productivity. By leveraging call center AI, businesses can adeptly manage and respond to customer queries and support requests, resulting in a more streamlined customer experience. Consequently, this enhanced operational efficiency can translate into heightened levels of customer satisfaction and increased customer loyalty, thereby bolstering the competitive edge of businesses within the region. Moreover, the presence of prominent multinational suppliers such as IBM, Google, Microsoft, and AWS in the North American region is instrumental in facilitating the seamless application and integration of cutting-edge conversational AI technology within the contact centers. These tech giants not only provide advanced AI tools but also offer comprehensive support and resources for the successful implementation of AI-driven solutions in the call center landscape. This strategic collaboration between multinational suppliers and regional call centers has significantly contributed to the evolution and advancement of the call center AI market within North America. Furthermore, the growing inclination towards cloud-based call center solutions is an additional driving force behind the expansion of the call center AI market in North America. The migration towards cloud-based services has facilitated greater accessibility, scalability, and flexibility for call center operations, resulting in heightened operational efficiency and cost-effectiveness. This shift towards cloud-based call center solutions has effectively revolutionized the call center landscape within North America, thereby fostering the continuous growth and development of the call center AI market within the region.

Market developments:

  • In May 2023, Zoom Video Communications, Inc. partnered with Anthropic PBC to integrate Anthropic's generative AI model into Zoom's contact center portfolio.
  • In July 2022. Laivly has launched its attended AI platform, which helps call centers modernize quickly and easily. By turning real-time intelligence into real-time action, Laivly boosts contact center productivity, ROI, and customer experience.


  • By Component
    • Solution
    • Services
    • Professional services
    • Managed Services
  • By Deployment
    • Cloud
    • On-premises
  • By Enterprise Size
    • Large
    • SMEs
  • By Application
    • Predictive Call Routing
    • Journey Orchestration
    • Quality Management
    • Sentiment Analysis
    • Workforce Management & Advanced Scheduling
    • Others
  • By Geography
    • North America
      • United States
      • Canada
      • Mexico
    • South America
      • Brazil
      • Argentina
      • Others
    • Europe
      • United Kingdom
      • Germany
      • France
      • Spain
      • Others
    • Middle East and Africa
      • Saudi Arabia
      • UAE
      • Israel
      • Others
    • Asia Pacific
      • Japan
      • China
      • India
      • South Korea
      • Indonesia
      • Thailand
      • Others


1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base, and Forecast Years Timeline


2.1. Research Data

2.2. Research Processes


3.1. Research Highlights


4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Force Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis


5.1. Introduction

5.2. Solution

5.3. Services

5.3.1. Professional services

5.3.2. Managed Services


6.1. Introduction

6.2. Cloud

6.3. On-premises


7.1. Introduction

7.2. Large

7.3. SMEs


8.1. Introduction

8.2. Predictive Call Routing

8.3. Journey Orchestration

8.4. Quality Management

8.5. Sentiment Analysis

8.6. Workforce Management & Advanced Scheduling

8.7. Others


9.1. Introduction

9.2. North America

9.2.1. United States

9.2.2. Canada

9.2.3. Mexico

9.3. South America

9.3.1. Brazil

9.3.2. Argentina

9.3.3. Others

9.4. Europe

9.4.1. United Kingdom

9.4.2. Germany

9.4.3. France

9.4.4. Spain

9.4.5. Others

9.5. The Middle East and Africa

9.5.1. Saudi Arabia

9.5.2. UAE

9.5.3. Israel

9.5.4. Others

9.6. Asia Pacific

9.6.1. Japan

9.6.2. China

9.6.3. India

9.6.4. South Korea

9.6.5. Indonesia

9.6.6. Thailand

9.6.7. Others


10.1. Major Players and Strategy Analysis

10.2. Market Share Analysis

10.3. Mergers, Acquisitions, Agreements, and Collaborations


11.1. IBM

11.2. NICE

11.3. Zendesk

11.4. Bright Pattern

11.5. SmartAction LLC

11.6. SAP

11.7. Oracle

11.8. Avaya Inc.




Bright Pattern

SmartAction LLC



Avaya Inc.