Artificial Intelligence in Call Centers Market by Component (Services, Solutions), Mode of Channel (Chat, Email, Phone), Deployment Mode, Application - Global Forecast 2024-2030
The Artificial Intelligence in Call Centers Market size was estimated at USD 2.81 billion in 2023 and expected to reach USD 3.44 billion in 2024, at a CAGR 22.65% to reach USD 11.77 billion by 2030.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Call Centers Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis 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: 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 examination of the current state of vendors in the Artificial Intelligence in Call Centers Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. 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 this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Artificial Intelligence in Call Centers Market, highlighting leading vendors and their innovative profiles. These include 8x8, Inc., Amazon Web Services, Inc., Artificial Solutions International AB, Avaya Inc., Dialpad, Inc., Five9, Inc., Genesys Cloud Services, Inc., Google LLC by Alphabet Inc., Inbenta Holdings Inc., International Business Machines Corporation, Kore.ai, Inc., Microsoft Corporation, NICE Ltd., Oracle Corporation, Plivo Inc., and RingCentral, Inc..
Market Segmentation & Coverage
This research report categorizes the Artificial Intelligence in Call Centers Market to forecast the revenues and analyze trends in each of the following sub-markets:
Component
Services
Managed Services
Support & Maintenance
Chat
Cloud
Agent Performance Management
Americas
Argentina
California
Australia
Denmark
The report offers valuable insights on the following aspects:
- Market Penetration: It presents comprehensive information on the market provided by key players.
- Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
- Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
- Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
- Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
- What is the market size and forecast of the Artificial Intelligence in Call Centers Market?
- Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Call Centers Market?
- What are the technology trends and regulatory frameworks in the Artificial Intelligence in Call Centers Market?
- What is the market share of the leading vendors in the Artificial Intelligence in Call Centers Market?
- Which modes and strategic moves are suitable for entering the Artificial Intelligence in Call Centers Market?
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. Limitations
- 1.7. Assumptions
- 1.8. 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
- 4.1. Introduction
- 4.2. Artificial Intelligence in Call Centers Market, by Region
- 5. Market Insights
- 5.1. Market Dynamics
- 5.1.1. Drivers
- 5.1.1.1. Growth in customer engagement through social media platforms and increased data generation
- 5.1.1.2. Integration of new systems with existing ones at workplace
- 5.1.1.3. Advent of AI in call centers to offer enhanced customer support services and better experience
- 5.1.2. Restraints
- 5.1.2.1. Lack of technically skilled workforce
- 5.1.3. Opportunities
- 5.1.3.1. Advancements in AI and edge technologies to facilitate real-time actionable insights
- 5.1.3.2. Rapid penetration of chatbots and call center AI solutions in BFSI and government sector
- 5.1.4. Challenges
- 5.1.4.1. Data privacy and security concerns among businesses
- 5.2. Market Segmentation Analysis
- 5.3. Market Trend Analysis
- 5.4. Cumulative Impact of High Inflation
- 5.5. Porter’s Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Bargaining Power of Customers
- 5.5.4. Bargaining Power of Suppliers
- 5.5.5. Industry Rivalry
- 5.6. Value Chain & Critical Path Analysis
- 5.7. Regulatory Framework
- 6. Artificial Intelligence in Call Centers Market, by Component
- 6.1. Introduction
- 6.2. Services
- 6.3.1. Managed Services
- 6.3.2. Professional Services
- 6.3.3.1. Support & Maintenance
- 6.3.3.2. System Integration & Implementations
- 6.3.3.3. Training & Consulting
- 6.3. Solutions
- 7. Artificial Intelligence in Call Centers Market, by Mode of Channel
- 7.1. Introduction
- 7.2. Chat
- 7.3. Email
- 7.4. Phone
- 7.5. Social Media
- 7.6. Website
- 8. Artificial Intelligence in Call Centers Market, by Deployment Mode
- 8.1. Introduction
- 8.2. Cloud
- 8.3. On-Premises
- 9. Artificial Intelligence in Call Centers Market, by Application
- 9.1. Introduction
- 9.2. Agent Performance Management
- 9.3. Appointment Scheduling
- 9.4. Journey Orchestration
- 9.5. Predictive Call Routing
- 9.6. Sentiment Analysis
- 9.7. Workforce Optimization
- 10. Americas Artificial Intelligence in Call Centers Market
- 10.1. Introduction
- 10.2. Argentina
- 10.3. Brazil
- 10.4. Canada
- 10.5. Mexico
- 10.6. United States
- 11. Asia-Pacific Artificial Intelligence in Call Centers Market
- 11.1. Introduction
- 11.2. Australia
- 11.3. China
- 11.4. India
- 11.5. Indonesia
- 11.6. Japan
- 11.7. Malaysia
- 11.8. Philippines
- 11.9. Singapore
- 11.10. South Korea
- 11.11. Taiwan
- 11.12. Thailand
- 11.13. Vietnam
- 12. Europe, Middle East & Africa Artificial Intelligence in Call Centers Market
- 12.1. Introduction
- 12.2. Denmark
- 12.3. Egypt
- 12.4. Finland
- 12.5. France
- 12.6. Germany
- 12.7. Israel
- 12.8. Italy
- 12.9. Netherlands
- 12.10. Nigeria
- 12.11. Norway
- 12.12. Poland
- 12.13. Qatar
- 12.14. Russia
- 12.15. Saudi Arabia
- 12.16. South Africa
- 12.17. Spain
- 12.18. Sweden
- 12.19. Switzerland
- 12.20. Turkey
- 12.21. United Arab Emirates
- 12.22. United Kingdom
- 13. Competitive Landscape
- 13.1. FPNV Positioning Matrix
- 13.2. Market Share Analysis, By Key Player
- 13.3. Competitive Scenario Analysis, By Key Player
- 14. Competitive Portfolio
- 14.1. Key Company Profiles
- 14.1.1. 8x8, Inc.
- 14.1.2. Amazon Web Services, Inc.
- 14.1.3. Artificial Solutions International AB
- 14.1.4. Avaya Inc.
- 14.1.5. Dialpad, Inc.
- 14.1.6. Five9, Inc.
- 14.1.7. Genesys Cloud Services, Inc.
- 14.1.8. Google LLC by Alphabet Inc.
- 14.1.9. Inbenta Holdings Inc.
- 14.1.10. International Business Machines Corporation
- 14.1.11. Kore.ai, Inc.
- 14.1.12. Microsoft Corporation
- 14.1.13. NICE Ltd.
- 14.1.14. Oracle Corporation
- 14.1.15. Plivo Inc.
- 14.1.16. RingCentral, Inc.
- 14.2. Key Product Portfolio
- 15. Appendix
- 15.1. Discussion Guide
- 15.2. License & Pricing
- FIGURE 1. ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET RESEARCH PROCESS
- FIGURE 2. ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SIZE, 2023 VS 2030
- FIGURE 3. ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SIZE, 2018-2030 (USD MILLION)
- FIGURE 4. ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SIZE, BY REGION, 2023 VS 2030 (%)
- FIGURE 5. ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 6. ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET DYNAMICS
- FIGURE 7. ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
- FIGURE 8. ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 9. ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SIZE, BY MODE OF CHANNEL, 2023 VS 2030 (%)
- FIGURE 10. ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SIZE, BY MODE OF CHANNEL, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 11. ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SIZE, BY DEPLOYMENT MODE, 2023 VS 2030 (%)
- FIGURE 12. ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SIZE, BY DEPLOYMENT MODE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 13. ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
- FIGURE 14. ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 15. AMERICAS ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 16. AMERICAS ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 17. UNITED STATES ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SIZE, BY STATE, 2023 VS 2030 (%)
- FIGURE 18. UNITED STATES ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 19. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 20. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 21. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 22. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 23. ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET, FPNV POSITIONING MATRIX, 2023
- FIGURE 24. ARTIFICIAL INTELLIGENCE IN CALL CENTERS MARKET SHARE, BY KEY PLAYER, 2023
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