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Call Center AI Market By Component (Solution, Service) By Application, By Deployment, By End User - Global Industry Outlook, Key Companies ( Google LLC, Oracle and others), Trends and Forecast 2023-2032

Published on : September-2023  Report Code : RC-473  Pages Count : 256  Report Format : PDF
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Market Overview

The Global Call Center AI Market is expected to reach a value of USD 1.9 billion in 2023, and it is further anticipated to reach a market value of USD 12.9 billion by 2032 at a CAGR of 23.9%. The market has seen significant growth over the past few years and is predicted to grow significantly during the forecasted period as well.

Call Center AI serves as a valuable tool to help human agents efficiently address customer calls. It functions by discreetly monitoring conversations, quickly retrieving relevant information, & providing enhanced solutions customized to the customer's specific issue, thereby improving the overall customer service experience.

Call Center AI Market Growth Analysis

The Call Center AI market is experiencing rapid expansion as businesses search for effective ways to enhance customer support. Chatbots and intelligent virtual assistants have become popular solutions for automating customer service tasks, shortening wait times, and improving customer experiences; these technologies enable companies to meet consumers' growing expectations for faster and personalized services.

AI-powered solutions have grown increasingly prevalent as call centers strive to enhance operational efficiencies and reduce operational costs. Technologies like chatbots and conversational agents powered by artificial intelligence enable organizations to more efficiently handle increased customer inquiries during busy periods like pandemic recovery. Furthermore, integration of AI with CRM systems provides businesses with actionable insights for improving service provision.

As more industries recognize AI's power to enhance customer interactions, market opportunities have grown. Banks, healthcare, telecom and e-commerce sectors are beginning to adopt AI technologies for optimizing service operations - many use sentiment analysis and voice recognition technology specifically as methods for improving service operations - further driving up market growth.

Market Dynamic

The growth in digitization & the pursuit of enhanced customer experiences are providing strong assistance for the adoption of artificial intelligence, which is particularly evident in the growing use of AI in industries like smart homes & gaming, driven by the need for digitization. Furthermore, the growth in the Internet of Things (IoT) & connected devices has further increased the industry's reliance on artificial intelligence. 

The integration of the latest technologies, like artificial intelligence, machine learning, speech analytics, & text analytics, is a key driver of growth in the call center AI market. Additionally, the importance of customer satisfaction & improving customer experiences is anticipated to encourage widespread adoption of these solutions, as achieving high customer satisfaction remains a paramount objective for businesses, serving as a major source for modeling customer trends & interaction opportunities.

As the call center landscape evolves, embodied AI is enhancing traditional AI by introducing physical AI representations in service roles. While virtual assistants and automated systems already drive engagement, embodied AI takes customer interactions to the next level, offering more immersive and human-like experiences through lifelike avatars. This innovation opens exciting possibilities in the Embodied AI Market.

Research Scope and Analysis

By Component

In 2023, the solutions segment emerges as the leader in revenue share, mainly owing to the extensive adoption of chatbots, Intelligent Virtual Assistants (IVAs) & across numerous operational processes. Voice analysis software plays a major role in recording call center interactions & converting them into text transcripts. Further, speech analytics leverages these transcripts to interpret common themes within calls, capture keywords, and monitor agent performance. These call center AI solutions play a major role in facilitating interactions for financial institutions, improving the overall customer experience, & ultimately lowering response times while enhancing overall operational efficiency.

Call Center AI Market Componet Analysis

Moreover, the call center artificial intelligence market is projected to experience major growth owing to the increasing need for enhanced customer support services across sectors such as retail, banking, healthcare, telecommunications & financial services. The integration of AI-powered software & bots within call centers is anticipated to enhance issue-resolution processes while also fueling agent engagement in high-pressure environments, which aids service providers by reducing workload, & streamlining ticketing processes through AI algorithms that auto-populate data & assist in ticket documentation using memory-based functions.

By Application

In terms of application, predictive call routing is leading with the significant market share in 2023, which is primarily driven by the increase in demand for emotion detection via speech, which allows the analysis of callers' emotional states & is anticipated to become a significant trend in the global market. Within this trend, sentiment analysis, a subset of emotional AI, is anticipated to be the fastest-growing technological advancement in the call center AI market. 

Factors like the rising need for AI-powered omnichannel delivery, cost-efficient chatbot development, & improved customer support services have also contributed to the growth of the Conversational AI Market. Moreover, the growth in the adoption of AI-powered chatbots, mainly during the COVID-19 pandemic, & a growing focus on customer engagement have increased the value of conversational AI solutions, offering better opportunities across various industries.

By Deployment

On-premises segment takes the lead in market revenue share in 2023 because on-premises deployment of AI solutions & services enables enterprises to customize & execute AI models according to their specific needs. Furthermore, it ensures strong data safety & security practices, improving overall system security & creating a more protected environment for handling consumer data. SMEs in particular, are adopting on-premises call center AI solutions owing to the simple deployment & control they provide, giving significant growth prospects for the market.

Also, the cloud segment is anticipated to secure high growth throughout the forecast period driven by the rapid adoption of interactive voice response or IVR solutions, which enable the speedy resolution of queries through phone calls, and minimize the demand for traditional customer service interactions. Additionally, there is a growing trend of software allowing customers to independently address product-related issues, reducing reliance on customer support calls. 

Furthermore, the growth in integrating the latest systems with existing ones in workplaces and increasing demand for implementing advanced call center software is anticipated to drive significant growth in this cloud-based segment.

By End User

The BFSI (Banking, Financial Services, and Insurance) sector takes the lead in terms of revenue share, which is due to the integration of AI solutions within the banking ecosystem, improving the quality & effectiveness of call center interactions and leading to enhanced customer service offerings by banks.

The deployment of AI voice assistants & chatbots in mobile banking applications enables customers to connect with call center agents as needed, streamlining query handling & lowering the workload for call center personnel, allowing them to focus on more vital customer inquiries. Also, the retail sector commands a significant share of the revenue in 2023 and is anticipated to grow substantially throughout the forecast period. 

The fast growth of the retail sector has been a driving force behind the global call center AI market's expansion, which can be attributed to customers' rising demand for information on different aspects, like product details, order processes, & inquiries concerning payments, refunds, and replacements.

The Global Call Center AI Market Report is segmented on the basis of the following:

By Component

  • Solution
  • Services

By Application

  • Workforce Management & Advanced Scheduling
  • Journey Orchestration
  • Predictive Call Routing
  • Sentiment Analysis
  • Others

By Deployment

  • Cloud
  • On Premises

By End User

  • BFSI
  • IT & Telecom
  • Retail & E-Commerce
  • Healthcare
  • Energy & Utilities
  • Travel & Hospitality
  • Others

Regional Analysis

North America stands out as the dominant force in the global market, holding a significant 40.2% revenue share. This strong position is said to be owing to the growing e-commerce sector in the region, creating productive ground for the implementation of AI-driven call center solutions. 

Call Center AI Market Regional Analysis

The fast development of AI technology, mainly in the United States, benefits from supportive government initiatives, promoting a favorable environment for the regional growth of call center AI. Additionally, the existence of industry giants like IBM, Google, & Microsoft provides businesses with diverse options, driving the overall growth of the market.

Also, Asia-Pacific is anticipated to experience the most significant market growth during the forecast period, driven by significant investments in call center solutions in countries like China, India, Japan & the Philippines. These investments are acting as catalysts, driving the growth of the market in the region.

By Region

North America
  • The U.S.
  • Canada
Europe
  • Germany
  • The U.K.
  • France
  • Italy
  • Russia
  • Spain
  • Benelux
  • Nordic
  • Rest of Europe
Asia-Pacific
  • China
  • Japan
  • South Korea
  • India
  • ANZ
  • ASEAN
  • Rest of Asia-Pacific
Latin America
  • Brazil
  • Mexico
  • Argentina
  • Colombia
  • Rest of Latin America
Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa
  • Israel
  • Egypt
  • Rest of MEA

Competitive Landscape

The global Call Center AI market is experiencing consolidation, with a few key players shaping the industry landscape. These key market leaders create & apply different strategies to maintain their market positions. Their strategies often revolve around developing comprehensive AI solutions that include different aspects of customer service, like chatbots, virtual agents, and speech analytics. 

They focus on scalability, ease of integration, & accuracy in language understanding. Additionally, partnerships & acquisitions are common to further boost their market presence. In June 2022, Amazon Web Services (AWS) introduced Amazon Connect, a cloud-based contact center service that became a major development in the industry. 

AWS emphasized its unique approach by including artificial intelligence (AI) and the machine learning market to revolutionize call centers. With the following updates, Amazon Connect delivered on its promise, introducing three transformative features that leverage AI and machine learning (ML) to fundamentally change the dynamics of customer-agent interactions.

Some of the prominent players in the Global Call Center AI Market are:

  • Google LLC
  • Oracle
  • IBM Corp
  • SAP SE
  • Amazon Web Services
  • Microsoft Corp
  • Avaya Inc
  • NICE
  • Zendesk
  • Bright Pattern
  • Other Key Players

COVID-19 Pandemic & Recession: Impact on the Global Call Center AI Market:

The COVID-19 pandemic created both challenges & opportunities for the global call center AI market. At the start, it disturbed operations owing to lockdowns & remote work challenges, but it also boosted the adoption of AI-powered solutions as businesses looked for cost-effective & efficient customer service alternatives. As the recession hit, cost-cutting & limited budgets drove interest in automation, driving the call center AI market's growth, as companies progressively turned to AI to improve and better their customer support, streamline operations, & adapt to evolving customer behavior.

Report Details

                                   Report Characteristics
Market Size (2023) USD 1.9 Bn
Forecast Value (2032) USD 12.9 Bn
CAGR (2023-2032) 23.9%
Historical Data 2017 - 2022
Forecast Data 2023 - 2032
Base Year 2022
Estimate Year 2023
Report Coverage Market Revenue Estimation, Market Dynamics, Competitive Landscape, Growth Factors and etc.
Segments Covered By Component (Solutions and Services), By Application (Workforce Management & Advanced, Scheduling, Journey Orchestration, Predictive Call ,Routing, Sentiment Analysis, and Others), By,Deployment (Cloud and On-Premises), By End User,(BFSI, IT & Telcom, Retail & E-Commerce, Healthcare,,Energy & Utilities, Travel & Hospitality, and Others)
Regional Coverage North America – The US and Canada; Europe – Germany, The UK, France, Russia, Spain, Italy, Benelux, Nordic, & Rest of Europe; Asia- Pacific– China, Japan, South Korea, India, ANZ, ASEAN, Rest of APAC; Latin America – Brazil, Mexico, Argentina, Colombia, Rest of Latin America; Middle East & Africa – Saudi Arabia, UAE, South Africa, Turkey, Egypt, Israel, & Rest of MEA
Prominent Players Google LLC, Oracle, IBM Corp, SAP SE, Amazon Web Services, Microsoft Corp, Avaya Inc, NICE, Zendesk, Bright Pattern and Other Key Players
Purchase Options We have three licenses to opt for: Single User License (Limited to 1 user), Multi-User License (Up to 5 Users), and Corporate Use License (Unlimited User) along with free report customization equivalent to 0 analyst working days, 3 analysts working days and 5 analysts working days respectively.

 

Frequently Asked Questions

  • How big is the Global Call Center AI Market?

    The Global Call Center AI Market size is estimated to have a value of USD 1.9 billion in 2023 and is expected to reach USD 12.9 billion by the end of 2032.

  • Which region accounted for the largest Global Call Center AI Market?

    North America dominates the Global Call Center AI Market with a share of 40.2% in 2023.

  • Who are the key players in the Global Call Center AI Market?

    Some of the key players in the Global Call Center AI Market are Amazon, IBM Corp, Google, and many others.

  • What is the growth rate in the Global Call Center AI Market?

    The market is growing at a CAGR of 23.9 percent over the forecasted period.

  • Contents

      1.Introduction
        1.1.Objectives of the Study
        1.2.Market Scope
        1.3.Market Definition and Scope
      2.Call Center AI Market Overview
        2.1.Global Call Center AI Market Overview by Type
        2.2.Global Call Center AI Market Overview by Application
      3.Call Center AI Market Dynamics, Opportunity, Regulations, and Trends Analysis
        3.1.Market Dynamics
          3.1.1.Call Center AI Market Drivers
          3.1.2.Call Center AI Market Opportunities
          3.1.3.Call Center AI Market Restraints
          3.1.4.Call Center AI Market Challenges
        3.2.Emerging Trend/Technology
        3.3.PESTLE Analysis
        3.4.PORTER'S Five Forces Analysis
        3.5.Technology Roadmap
        3.6.Opportunity Map Analysis
        3.7.Case Studies
        3.8.Opportunity Orbits
        3.9.Pricing Analysis
        3.10.Ecosystem Analysis
        3.11.Supply/Value Chain Analysis
        3.12.Covid-19 & Recession Impact Analysis
        3.13.Product/Brand Comparison
      4.Global Call Center AI Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by By Offering, 2017-2032
        4.1.Global Call Center AI Market Analysis by By Offering: Introduction
        4.2.Market Size and Forecast by Region
        4.3.Solution
        4.4.Services
      5.Global Call Center AI Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by By Application, 2017-2032
        5.1.Global Call Center AI Market Analysis by By Application: Introduction
        5.2.Market Size and Forecast by Region
        5.3.Workforce Management & Advanced Scheduling
        5.4.Journey Orchestration
        5.5.Predictive Call Routing
        5.6.Sentiment Analysis
        5.7.Others
      6.Global Call Center AI Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by By Deployment, 2017-2032
        6.1.Global Call Center AI Market Analysis by By Deployment: Introduction
        6.2.Market Size and Forecast by Region
        6.3.Cloud
        6.4.On Premises
      7.Global Call Center AI Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by By End User, 2017-2032
        7.1.Global Call Center AI Market Analysis by By End User: Introduction
        7.2.Market Size and Forecast by Region
        7.3.BFSI
        7.4.IT & Telecom
        7.5.Retail & E-Commerce
        7.6.Healthcare
        7.7.Energy & Utilities
        7.8.Travel & Hospitality
        7.9.Others
      8.Global Call Center AI Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by Region, 2017-2032
        8.1.North America
          8.1.1.North America Call Center AI Market: Regional Trend Analysis
            8.1.1.1.The US
            8.1.1.2.Canada
        8.2.1.Europe
          8.2.1.Europe Call Center AI Market: Regional Trend Analysis
            8.2.1.1.Germany
            8.2.1.2.France
            8.2.1.3.UK
            8.2.1.4.Russia
            8.2.1.5.Italy
            8.2.1.6.Spain
            8.2.1.7.Nordic
            8.2.1.8.Benelux
            8.2.1.9.Rest of Europe
        8.3.Asia-Pacific
          8.3.1.Asia-Pacific Call Center AI Market: Regional Trend Analysis
            8.3.1.1.China
            8.3.1.2.Japan
            8.3.1.3.South Korea
            8.3.1.4.India
            8.3.1.5.ANZ
            8.3.1.6.ASEAN
            8.3.1.7.Rest of Asia-Pacifc
        8.4.Latin America
          8.4.1.Latin America Call Center AI Market: Regional Trend Analysis
            8.4.1.1.Brazil
            8.4.1.2.Mexico
            8.4.1.3.Argentina
            8.4.1.4.Colombia
            8.4.1.5.Rest of Latin America
        8.5.Middle East and Africa
          8.5.1.Middle East and Africa Call Center AI Market: Regional Trend Analysis
            8.5.1.1.Saudi Arabia
            8.5.1.2.UAE
            8.5.1.3.South Africa
            8.5.1.4.Israel
            8.5.1.5.Egypt
            8.5.1.6.Turkey
            8.5.1.7.Rest of MEA
      9.Global Call Center AI Market Company Evaluation Matrix, Competitive Landscape, Market Share Analysis, and Company Profiles
        9.1.Market Share Analysis
        9.2.Company Profiles
        9.3.Google LLC
          9.3.1.Company Overview
          9.3.2.Financial Highlights
          9.3.3.Product Portfolio
          9.3.4.SWOT Analysis
          9.3.5.Key Strategies and Developments
        9.4.Oracle
          9.4.1.Company Overview
          9.4.2.Financial Highlights
          9.4.3.Product Portfolio
          9.4.4.SWOT Analysis
          9.4.5.Key Strategies and Developments
        9.5.IBM Corp
          9.5.1.Company Overview
          9.5.2.Financial Highlights
          9.5.3.Product Portfolio
          9.5.4.SWOT Analysis
          9.5.5.Key Strategies and Developments
        9.6.SAP SE
          9.6.1.Company Overview
          9.6.2.Financial Highlights
          9.6.3.Product Portfolio
          9.6.4.SWOT Analysis
          9.6.5.Key Strategies and Developments
        9.7.Amazon Web Services
          9.7.1.Company Overview
          9.7.2.Financial Highlights
          9.7.3.Product Portfolio
          9.7.4.SWOT Analysis
          9.7.5.Key Strategies and Developments
        9.8.Microsoft Corp
          9.8.1.Company Overview
          9.8.2.Financial Highlights
          9.8.3.Product Portfolio
          9.8.4.SWOT Analysis
          9.8.5.Key Strategies and Developments
        9.9.Avaya Inc
          9.9.1.Company Overview
          9.9.2.Financial Highlights
          9.9.3.Product Portfolio
          9.9.4.SWOT Analysis
          9.9.5.Key Strategies and Developments
        9.10.NICE
          9.10.1.Company Overview
          9.10.2.Financial Highlights
          9.10.3.Product Portfolio
          9.10.4.SWOT Analysis
          9.10.5.Key Strategies and Developments
        9.11.Zendesk
          9.11.1.Company Overview
          9.11.2.Financial Highlights
          9.11.3.Product Portfolio
          9.11.4.SWOT Analysis
          9.11.5.Key Strategies and Developments
        9.12.Bright Pattern
          9.12.1.Company Overview
          9.12.2.Financial Highlights
          9.12.3.Product Portfolio
          9.12.4.SWOT Analysis
          9.12.5.Key Strategies and Developments
        9.13.Other Key Players
          9.13.1.Company Overview
          9.13.2.Financial Highlights
          9.13.3.Product Portfolio
          9.13.4.SWOT Analysis
          9.13.5.Key Strategies and Developments
      10.Assumptions and Acronyms
      11.Research Methodology
      12.Contact
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