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Call Center Artificial Intelligence Trends and Forecast
The future of the global call center artificial intelligence market looks promising with opportunities in the BFSI, IT & telecommunication, healthcare, retail & e-commerce, energy & utility, and travels & hospitality markets. The global call center artificial intelligence market is expected to reach an estimated $5.9 billion by 2030 with a CAGR of 18.7% from 2024 to 2030. The major drivers for this market are growing trend in enhancing customer engagement through various social media platforms and significant demand for quality customer services.

A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.

Call Center Artificial Intelligence by Segment
The study includes a forecast for the global call center artificial intelligence by channel type, deployment, application, end use industry, and region.

Call Center Artificial Intelligence Market by Channel Type [Shipment Analysis by Value from 2018 to 2030]:
• Phone
• Social Media
• Chat
• Email or Text
• Website






Call Center Artificial Intelligence Market by Deployment [Shipment Analysis by Value from 2018 to 2030]:
• Cloud
• On-Premises









Call Center Artificial Intelligence Market by Application [Shipment Analysis by Value from 2018 to 2030]:
• Predictive Call Routing
• Journey Orchestration
• Quality Management
• Sentiment Analysis
• Workforce Management & Advanced Scheduling
• Others





Call Center Artificial Intelligence Market by End Use Industry [Shipment Analysis by Value from 2018 to 2030]:
• BFSI
• IT & Telecommunication
• Healthcare
• Retail & E-commerce
• Energy & Utilities
• Travels & Hospitality
• Others




Call Center Artificial Intelligence Market by Region [Shipment Analysis by Value from 2018 to 2030]:
• North America
• Europe
• Asia Pacific
• The Rest of the World

List of Call Center Artificial Intelligence Companies
Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies call center artificial intelligence companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the call center artificial intelligence companies profiled in this report include-
• IBM
• NICE
• Zendesk
• Bright Pattern
• SmartAction
• Artificial Solutions
• SAP
• Oracle
• Avaya
• Jio Haptik Technologies


Call Center Artificial Intelligence Market Insights
Lucintel forecasts that predictive call routing will remain the largest segment over the forecast period due to its growing need for speech-based emotion detection to assess callers emotional states.
Within this market, BFSI will remain the largest segment due to rising use of AI based call center in banks to provide superior customer service.
North America will remain the largest region over the forecast period due to rapid expansion of e-commerce sector and presence of key players in the region.

Features of the Global Call Center Artificial Intelligence Market

Market Size Estimates: Call center artificial intelligence market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: Call center artificial intelligence market size by various segments, such as by channel type, deployment, application, end use industry, and region in terms of value ($B).
Regional Analysis: Call center artificial intelligence market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different channel types, deployments, applications, end use industries, and regions for the call center artificial intelligence market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the call center artificial intelligence market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.

FAQ

Q1. What is the call center artificial intelligence market size?
Answer: The global call center artificial intelligence market is expected to reach an estimated $5.9 billion by 2030.

Q2. What is the growth forecast for call center artificial intelligence market?
Answer: The global call center artificial intelligence market is expected to grow with a CAGR of 18.7% from 2024 to 2030.

Q3. What are the major drivers influencing the growth of the call center artificial intelligence market?
Answer: The major drivers for this market are growing trend in enhancing customer engagement through various social media platforms and significant demand for quality customer services.

Q4. What are the major segments for call center artificial intelligence market?
Answer: The future of the call center artificial intelligence market looks promising with opportunities in the BFSI, IT & telecommunication, healthcare, retail & e-commerce, energy & utility, and travels & hospitality markets.

Q5. Who are the key call center artificial intelligence market companies?
Answer: Some of the key call center artificial intelligence companies are as follows:
• IBM
• NICE
• Zendesk
• Bright Pattern
• SmartAction
• Artificial Solutions
• SAP
• Oracle
• Avaya
• Jio Haptik Technologies



Q6. Which call center artificial intelligence market segment will be the largest in future?
Answer: Lucintel forecasts that predictive call routing will remain the largest segment over the forecast period due to its growing need for speech-based emotion detection to assess callers emotional states.

Q7. In call center artificial intelligence market, which region is expected to be the largest in next 5 years?
Answer: North America will remain the largest region over the forecast period due to rapid expansion of e-commerce sector and presence of key players in the region.

Q.8 Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

Q.1. What are some of the most promising, high-growth opportunities for the call center artificial intelligence market by channel (phone, social media, chat, email or text, and website), deployment (cloud and on-premises), application (predictive call routing, journey orchestration, quality management, sentiment analysis, workforce management & advanced scheduling, and others), end use industry (BFSI, IT & telecommunication, healthcare, retail & e-commerce, energy & utilities, travels & hospitality, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

For any questions related to Call Center Artificial Intelligence Market, Call Center Artificial Intelligence Market Size, Call Center Artificial Intelligence Market Growth, Call Center Artificial Intelligence Market Analysis, Call Center Artificial Intelligence Market Report, Call Center Artificial Intelligence Market Share, Call Center Artificial Intelligence Market Trends, Call Center Artificial Intelligence Market Forecast, Call Center Artificial Intelligence Companies, write Lucintel analyst at email: helpdesk@lucintel.com. We will be glad to get back to you soon.
Table of Contents

1. Executive Summary

2. Global Call Center Artificial Intelligence Market : Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges 

3. Market Trends and Forecast Analysis from 2018 to 2030
3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
3.2. Global Call Center Artificial Intelligence Market Trends (2018-2023) and Forecast (2024-2030)

3.3: Global Call Center Artificial Intelligence Market by Channel Type
3.3.1: Phone
3.3.2: Social Media
3.3.3: Chat
3.3.4: Email or Text
3.3.5: Website





3.4: Global Call Center Artificial Intelligence Market by Deployment
3.4.1: Cloud
3.4.2: On-Premises








3.5: Global Call Center Artificial Intelligence Market by Application
3.5.1: Predictive Call Routing
3.5.2: Journey Orchestration
3.5.3: Quality Management
3.5.4: Sentiment Analysis
3.5.5: Workforce Management & Advanced Scheduling
3.5.6: Others




3.6: Global Call Center Artificial Intelligence Market by End Use Industry
3.6.1: BFSI
3.6.2: IT & Telecommunication
3.6.3: Healthcare
3.6.4: Retail & E-commerce
3.6.5: Energy & Utilities
3.6.6: Travels & Hospitality
3.6.7: Others


4. Market Trends and Forecast Analysis by Region from 2018 to 2030
4.1: Global Call Center Artificial Intelligence Market by Region
4.2: North American Call Center Artificial Intelligence Market

4.2.1: North American Call Center Artificial Intelligence Market by Application: Predictive Call Routing, Journey Orchestration, Quality Management, Sentiment Analysis, Workforce Management & Advanced Scheduling, and Others
4.2.2: North American Call Center Artificial Intelligence Market by End Use Industry: BFSI, IT & Telecommunication, Healthcare, Retail & E-commerce, Energy & Utilities, Travels & Hospitality, and Others

4.3: European Call Center Artificial Intelligence Market


4.3.1: European Call Center Artificial Intelligence Market by Application: Predictive Call Routing, Journey Orchestration, Quality Management, Sentiment Analysis, Workforce Management & Advanced Scheduling, and Others
4.3.2: European Call Center Artificial Intelligence Market by End Use Industry: BFSI, IT & Telecommunication, Healthcare, Retail & E-commerce, Energy & Utilities, Travels & Hospitality, and Others

4.4: APAC Call Center Artificial Intelligence Market


4.4.1: APAC Call Center Artificial Intelligence Market by Application: Predictive Call Routing, Journey Orchestration, Quality Management, Sentiment Analysis, Workforce Management & Advanced Scheduling, and Others
4.4.2: APAC Call Center Artificial Intelligence Market by End Use Industry: BFSI, IT & Telecommunication, Healthcare, Retail & E-commerce, Energy & Utilities, Travels & Hospitality, and Others

4.5: ROW Call Center Artificial Intelligence Market


4.5.1: ROW Call Center Artificial Intelligence Market by Application: Predictive Call Routing, Journey Orchestration, Quality Management, Sentiment Analysis, Workforce Management & Advanced Scheduling, and Others
4.5.2: ROW Call Center Artificial Intelligence Market by End Use Industry: BFSI, IT & Telecommunication, Healthcare, Retail & E-commerce, Energy & Utilities, Travels & Hospitality, and Others

5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis

6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global Call Center Artificial Intelligence Market by Channel Type
6.1.2: Growth Opportunities for the Global Call Center Artificial Intelligence Market by Deployment
6.1.3: Growth Opportunities for the Global Call Center Artificial Intelligence Market by Application
6.1.4: Growth Opportunities for the Global Call Center Artificial Intelligence Market by End Use Industry
6.1.5: Growth Opportunities for the Global Call Center Artificial Intelligence Market by Region

6.2: Emerging Trends in the Global Call Center Artificial Intelligence Market

6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global Call Center Artificial Intelligence Market
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Call Center Artificial Intelligence Market
6.3.4: Certification and Licensing

7. Company Profiles of Leading Players
7.1: IBM
7.2: NICE
7.3: Zendesk
7.4: Bright Pattern
7.5: SmartAction
7.6: Artificial Solutions
7.7: SAP
7.8: Oracle
7.9: Avaya
7.10: Jio Haptik Technologies
.

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Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
In-depth interviews of the major players in this market
Detailed secondary research from competitors’ financial statements and published data
Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.

Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process.

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