Call Center AI Market Size, Share & Trends Analysis Report By Component, By Application, By Deployment, By Enterprise Size, By Industry, By Channel, By Region, And Segment Forecasts, 2023 - 2030

Call Center AI Market Size, Share & Trends Analysis Report By Component, By Application, By Deployment, By Enterprise Size, By Industry, By Channel, By Region, And Segment Forecasts, 2023 - 2030


Call Center AI Market Growth & Trends


The global call center AI market size is expected to reach USD 7.08 billion by 2030, according to a new study by Grand View Research, Inc. It is expected to expand at a CAGR of 23.1% from 2023 to 2030. With recent advances in artificial intelligence (AI), companies are using this technology in their customer service function, shifting their services from email or messaging to AI-powered chatbots to improve customer experience and engagement. AI technologies, such as intelligent virtual assistants (IVAs) and chatbots, can engage prospects with savings or coupon opportunities, permitting human sales representatives to offer that all-important personal touch to close the deal.

Similarly, AI can provide historical data and insights about a customer to call center agents, allowing them to offer valuable up-selling and cross-selling opportunities. For instance, in June 2023, Inter IKEA Systems B.V., a Swedish multinational company that sells and designs furniture, kitchen appliances, home accessories, and others, initiated the training of its call center employees to transform them into interior design advisors. The company further built an artificial intelligence technology-enabled bot named Billie for regular customer services.

The adoption of hybrid business models by call centers offers promising market growth opportunities. Hybrid models are expected to facilitate self-service and automation of business practices. The implementation of AI-enabled chatbots aids in dealing with simple customer questions and FAQs, thus freeing human agents to engage in more complex problems, enabling contact centers to offer a customer-centric approach and improve operations. The onset of COVID-19 forced companies to deploy AI-enabled hybrid ecosystems, and the system's effectiveness is expected to offer promising growth opportunities over the forecast period.

Agents can use AI and bots integrated across all channels and create a genuinely omnichannel AI-powered call center. AI software can reduce waiting time, improve customer service, and increase customer satisfaction. Key competitors in the call center AI industry are improving customer service by collaborating with other organizations to stay competitive.

For instance, in March 2021, Jio Haptik Technologies Limited announced a collaboration with Zendesk, one of the prominent companies dealing in service-oriented CRM that creates software to improve customer relationships. Through this initiative, Jio Haptik Technologies Limited will transform its customer experience by combining AI-powered automation with human labor. For companies using Zendesk, Jio Haptik Technologies Limited will serve as the frontline of customer service, automating routine inquiries and reducing response time.

North America is expected to have the largest market share and maintain its dominance throughout the forecast period. Rapid technological advancements, the presence of global vendors in the market, and the region's increasing adoption of AI solutions are some factors driving market growth. The Asia-Pacific region is growing rapidly due to constant technological advancements in call center solutions, such as analytics and reporting, customer routing, and cloud & remote-based centers. Countries like China, India, and Japan will drive the requirement for transformation in call center operations due to reduced enterprises' operational expenditure and raised investments in speech analytics and voice recognition technologies.

Call Center AI Market Report Highlights

  • North America is expected to account for the highest share in the market due to the region's early adoption of call center AI technologies. Increasing smartphone adoption and technological advances in call centers are fueling adoption across the region
  • The BFSI industry is at the forefront of delivering AI-enabled applications. The sector is pioneering the use of AI-enabled intelligent chatbots and redefining the customer experience. These chatbots work with their customers to provide an interface to automate multiple back-end tasks
  • Due to the increasing penetration of smartphone users worldwide, the phone segment is expected to hold the largest market size during the forecast period. Majority of the consumers prefer this mode because it provides a better user experience
  • The COVID-19 pandemic has resulted in an exponential increase in call volumes across regions and countries. Call volumes at centers that provide travel and healthcare information have increased significantly in the past few years
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Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope and Assumptions
1.3. Information Procurement
1.3.1. Purchased Database
1.3.2. Gvr’s Internal Database
1.3.3. Secondary Sources & Third-Party Perspectives
1.3.4. Primary Research
1.4. Information Analysis
1.4.1. Data Analysis Models
1.5. Market Formulation & Data Visualization
1.6. Data Validation & Publishing
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segmental Outlook
2.3. Competitive Insights
Chapter 3. Market Variables, Trends, and Scope
3.1. Market Lineage
3.2. Industry Value Chain Analysis
3.3. Call Center AI Market - Market Dynamics
3.3.1. Market Driver Analysis
3.3.1.1. Increasing Penetration Of Social Media Platforms
3.3.1.2. Increasing Deployment Of Ai Solutions By Organizations For Seamless Business Operation
3.3.2. Market Restraint Analysis
3.3.2.1. Risk Of Data Loss
3.3.3. Industry Challenges
3.4. Business Environmental Tools Analysis: Call Center AI Market
3.6.1. porter’s Five Forces Analysis
3.6.1.1. Bargaining Power Of Suppliers
3.6.1.2. Bargaining Power Of Buyers
3.6.1.3. Threat Of Substitution
3.6.1.4. Threat Of New Entrants
3.6.1.5. Competitive Rivalry
3.6.2. Pestle Analysis
3.6.2.1. Political Landscape
3.6.2.2. Economic Landscape
3.6.2.3. Social Landscape
3.6.2.4. Technology Landscape
3.6.2.5. Environmental Landscape
3.6.2.6. Legal Landscape
3.7. Economic Mega Trend Analysis
Chapter 4. Call Center AI Market: Component Estimates & Trend Analysis
4.1. Call Center AI Market, by Component: Key Takeaways
4.2. Call Center AI Market: Component Movement Analysis, 2022 & 2030
4.3. Solution
4.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
4.4. Services
4.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
4.4.2. Professional Services
4.4.2.1. Training And Consulting
4.4.2.2. System Integration And Implementations
4.4.2.3. Support And Maintenance
4.4.3. Managed Services
Chapter 5. Call Center AI Market: Application Estimates & Trend Analysis
5.1. Call Center AI Market, by Application: Key Takeaways
5.2. Call Center AI Market: Application Movement Analysis, 2022 & 2030
5.3. Predictive Call Routing
5.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
5.4. Journey Orchestration
5.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
5.5. Quality Management
5.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
5.6. Sentiment Analysis
5.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
5.7. Workforce Management & Advanced Scheduling
5.7.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
5.8. Others
5.8.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 6. Call Center Ai Market: Deployment Estimates & Trend Analysis
6.1. Call Center Ai Market, By Deployment: Key Takeaways
6.2. Call Center Ai Market: Deployment Movement Analysis, 2022 & 2030
6.3. Cloud
6.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
6.4. On-Premises
6.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 7. Call Center AI Market: Enterprise Size Estimates & Trend Analysis
7.1. Call Center AI Market, by Enterprise Size: Key Takeaways
7.2. Call Center AI Market: Enterprise Size Movement Analysis, 2022 & 2030
7.3. Small & Medium Size Enterprise
7.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
7.4. Large Enterprise
7.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 8. Call Center AI Market: Industry Estimates & Trend Analysis
8.1. Call Center AI Market, by Industry: Key Takeaways
8.2. Call Center AI Market: Industry Movement Analysis, 2022 & 2030
8.3. BFSI
8.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.4. It & Telecommunciation
8.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.5. Healthcare
8.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.6. Retail
8.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.7. Energy & Utilities
8.7.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.8. Travels & Hospitality
8.8.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.9. Others
8.9.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 9. Call Center Ai Market: Channel Estimates & Trend Analysis
9.1. Call Center Ai Market, By Channel: Key Takeaways
9.2. Call Center Ai Market: Channel Movement Analysis, 2022 & 2030
9.3. Phone
9.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
9.4. Social Media
9.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
9.5. Chat
9.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
9.6. Email Or Text
9.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
9.7. Website
9.7.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 10. Call Center AI Market: Regional Estimates & Trend Analysis
10.1. Call Center AI Market: Regional Movement Analysis, 2022 & 2030
10.2. North America
10.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
10.2.2. U.S.
10.2.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
10.2.3. Canada
10.2.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
10.2.4. Mexico
10.2.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
10.3. Europe
10.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
10.3.2. Germany
10.3.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
10.3.3. U.K.
10.3.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
10.3.4. France
10.3.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
10.4. Asia Pacific
10.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
10.4.2. China
10.4.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
10.4.3. Japan
10.4.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
10.4.4. India
10.4.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
10.5. Central & South America
10.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
10.5.2. Brazil
10.5.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
10.6. Middle East & Africa
10.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 11. Competitive Landscape
11.1. Company Categorization
11.2. Company Market Positioning
11.3. Company Market Share Analysis, 2022
11.4. Company Heat Map Analysis
11.5. Strategy Mapping
11.6. Company Profiles/Listing
11.6.1. IBM
11.6.1.1. Overview
11.6.1.2. Financial Performance
11.6.1.3. Product Benchmarking
11.6.1.4. Strategic Initiatives
11.6.2. NICE
11.6.2.1. Overview
11.6.2.2. Financial Performance
11.6.2.3. Product Benchmarking
11.6.2.4. Strategic Initiatives
11.6.3. ZENDESK
11.6.3.1. Overview
11.6.3.2. Financial Performance
11.6.3.3. Product Benchmarking
11.6.3.4. Strategic Initiatives
11.6.4. BRIGHT PATTERN
11.6.4.1. Overview
11.6.4.2. Financial Performance
11.6.4.3. Product Benchmarking
11.6.4.4. Strategic Initiatives
11.6.5. SMARTACTION LLC
11.6.5.1. Overview
11.6.5.2. Financial Performance
11.6.5.3. Product Benchmarking
11.6.5.4. Strategic Initiatives
11.6.6. ARTIFICIAL SOLUTIONS
11.6.6.1. Overview
11.6.6.2. Financial Performance
11.6.6.3. Product Benchmarking
11.6.6.4. Strategic Initiatives
11.6.7. SAP
11.6.7.1. Overview
11.6.7.2. Financial Performance
11.6.7.3. Product Benchmarking
11.6.7.4. Strategic Initiatives
11.6.8. ORACLE
11.6.8.1. Overview
11.6.8.2. Financial Performance
11.6.8.3. Product Benchmarking
11.6.8.4. Strategic Initiatives
11.6.9. AVAYA INC.
11.6.9.1. Overview
11.6.9.2. Financial Performance
11.6.9.3. Product Benchmarking
11.6.9.4. Strategic Initiatives
11.6.10. JIO HAPTIK TECHNOLOGIES LIMITED
11.6.10.1. Overview
11.6.10.2. Financial Performance
11.6.10.3. Product Benchmarking
11.6.10.4. Strategic Initiatives

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