The global intelligent customer service market is expected to grow from USD 3.5 billion in 2017 to USD 7.2 billion by 2030, at a CAGR of 12.6% during the forecast period. The market is driven by factors such as increasing demand for personalized customer service, growing need for automation and artificial intelligence in customer service, and increasing adoption of cloud-based solutions for customer service.
ClouBased: The clouBased segment is expected to account for the largest share of the global intelligent customer service market during the forecast period due to its ability to provide real-time data analytics and insights on customers’ behavior patterns and preferences through data mining techniques such as machine learning algorithms, natural language processing (NLP), sentiment analysis, etc, which helps organizations understand their customers better and improve their services accordingly.
Some Of The Growth Factors Of This Market:
- The customer service industry is growing at a rate of 3% annually.
- The customer service industry is expected to grow by $3 trillion in the next 10 years.
- Customer service jobs are projected to grow by 12% in the next decade, which is faster than average for all occupations.
- Customer service jobs are projected to grow by 12% in the next decade, which is faster than average for all occupations 5.There will be an increase in demand for customer service professionals as more companies focus on providing excellent customer experience.
Industry Growth Insights published a new data on “Intelligent Customer Service Market”. The research report is titled “Intelligent Customer Service Market research by Types (Cloud-Based, On-Premises), By Applications (E-commerce, Finance, Government, Others), By Players/Companies Microsoft, Dassault Systèmes, IBM, Xiaoi Robot, Yunwen Technology, Google, Ipsoft, DigitalGenius, ultimate.ai, ThinkOwl, Agent.ai, Ada, Netomi, XiaoduoAI, Neteast, Baidu”.
Scope Of The Report
Report Attributes
Report Details
Report Title
Intelligent Customer Service Market Research Report
By Type
Cloud-Based, On-Premises
By Application
E-commerce, Finance, Government, Others
By Companies
Microsoft, Dassault Systèmes, IBM, Xiaoi Robot, Yunwen Technology, Google, Ipsoft, DigitalGenius, ultimate.ai, ThinkOwl, Agent.ai, Ada, Netomi, XiaoduoAI, Neteast, Baidu
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
245
Number of Tables & Figures
172
Customization Available
Yes, the report can be customized as per your need.
Global Intelligent Customer Service Market Report Segments:
The global Intelligent Customer Service market is segmented on the basis of:
Types
Cloud-Based, On-Premises
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
E-commerce, Finance, Government, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Microsoft
- Dassault Systèmes
- IBM
- Xiaoi Robot
- Yunwen Technology
- Google
- Ipsoft
- DigitalGenius
- ultimate.ai
- ThinkOwl
- Agent.ai
- Ada
- Netomi
- XiaoduoAI
- Neteast
- Baidu
Highlights of The Intelligent Customer Service Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Cloud-Based
- On-Premises
- By Application:
- E-commerce
- Finance
- Government
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Intelligent Customer Service Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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- Correctly Positioning New Products
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Intelligent customer service is a proactive approach to servicing customers that takes into account their individual needs and preferences. It involves using technology to gather data about customers, understanding customer sentiment, and then providing customized services that meet those needs.
Some of the major players in the intelligent customer service market are Microsoft, Dassault SystƒÂ¨mes, IBM, Xiaoi Robot, Yunwen Technology, Google, Ipsoft, DigitalGenius, ultimate.ai, ThinkOwl, Agent.ai, Ada, Netomi, XiaoduoAI, Neteast, Baidu.
The intelligent customer service market is expected to register a CAGR of 12.6%.
1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Intelligent Customer Service Market Overview
4.1. Introduction
4.1.1. Market Taxonomy
4.1.2. Market Definition
4.2. Macro-Economic Factors
4.2.1. Industry Outlook
4.3. Intelligent Customer Service Market Dynamics
4.3.1. Market Drivers
4.3.2. Market Restraints
4.3.3. Opportunity
4.3.4. Market Trends
4.4. Intelligent Customer Service Market - Supply Chain
4.5. Global Intelligent Customer Service Market Forecast
4.5.1. Intelligent Customer Service Market Size (US$ Mn) and Y-o-Y Growth
4.5.2. Intelligent Customer Service Market Size (000 Units) and Y-o-Y Growth
4.5.3. Intelligent Customer Service Market Absolute $ Opportunity
5. Global Intelligent Customer Service Market Analysis and Forecast by Type
5.1. Market Trends
5.2. Introduction
5.2.1. Basis Point Share (BPS) Analysis by Type
5.2.2. Y-o-Y Growth Projections by Type
5.3. Intelligent Customer Service Market Size and Volume Forecast by Type
5.3.1. Cloud-Based
5.3.2. On-Premises
5.4. Absolute $ Opportunity Assessment by Type
5.5. Market Attractiveness/Growth Potential Analysis by Type
6. Global Intelligent Customer Service Market Analysis and Forecast by Application
6.1. Market Trends
6.2. Introduction
6.2.1. Basis Point Share (BPS) Analysis by Application
6.2.2. Y-o-Y Growth Projections by Application
6.3. Intelligent Customer Service Market Size and Volume Forecast by Application
6.3.1. E-commerce
6.3.2. Finance
6.3.3. Government
6.3.4. Others
6.4. Absolute $ Opportunity Assessment by Application
6.5. Market Attractiveness/Growth Potential Analysis by Application
7. Global Intelligent Customer Service Market Analysis and Forecast by Sales Channel
7.1. Market Trends
7.2. Introduction
7.2.1. Basis Point Share (BPS) Analysis by Sales Channel
7.2.2. Y-o-Y Growth Projections by Sales Channel
7.3. Intelligent Customer Service Market Size and Volume Forecast by Sales Channel
7.3.1. Manufacturer/Distributor/Service Provider
7.3.2. Aftermarket
7.4. Absolute $ Opportunity Assessment by Sales Channel
7.5. Market Attractiveness/Growth Potential Analysis by Sales Channel
8. Global Intelligent Customer Service Market Analysis and Forecast by Region
8.1. Market Trends
8.2. Introduction
8.2.1. Basis Point Share (BPS) Analysis by Region
8.2.2. Y-o-Y Growth Projections by Region
8.3. Intelligent Customer Service Market Size and Volume Forecast by Region
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. Middle East and Africa (MEA)
8.4. Absolute $ Opportunity Assessment by Region
8.5. Market Attractiveness/Growth Potential Analysis by Region
8.6. Global Intelligent Customer Service Demand Share Forecast, 2019-2026
9. North America Intelligent Customer Service Market Analysis and Forecast
9.1. Introduction
9.1.1. Basis Point Share (BPS) Analysis by Country
9.1.2. Y-o-Y Growth Projections by Country
9.2. North America Intelligent Customer Service Market Size and Volume Forecast by Country
9.2.1. U.S.
9.2.2. Canada
9.3. Absolute $ Opportunity Assessment by Country
9.4. North America Intelligent Customer Service Market Size and Volume Forecast by Application
9.4.1. E-commerce
9.4.2. Finance
9.4.3. Government
9.4.4. Others
9.5. Basis Point Share (BPS) Analysis by Application
9.6. Y-o-Y Growth Projections by Application
9.7. North America Intelligent Customer Service Market Size and Volume Forecast by Type
9.7.1. Cloud-Based
9.7.2. On-Premises
9.8. Basis Point Share (BPS) Analysis by Type
9.9. Y-o-Y Growth Projections by Type
9.10. Market Attractiveness/Growth Potential Analysis
9.10.1. By Country
9.10.2. By Product Type
9.10.3. By Application
9.10.4. By Sales Channel
9.11. North America Intelligent Customer Service Demand Share Forecast, 2019-2026
10. Latin America Intelligent Customer Service Market Analysis and Forecast
10.1. Introduction
10.1.1. Basis Point Share (BPS) Analysis by Country
10.1.2. Y-o-Y Growth Projections by Country
10.1.3. Latin America Average Pricing Analysis
10.2. Latin America Intelligent Customer Service Market Size and Volume Forecast by Country
10.2.1. Brazil
10.2.2. Mexico
10.2.3. Rest of Latin America
10.3. Absolute $ Opportunity Assessment by Country
10.4. Latin America Intelligent Customer Service Market Size and Volume Forecast by Application
10.4.1. E-commerce
10.4.2. Finance
10.4.3. Government
10.4.4. Others
10.5. Basis Point Share (BPS) Analysis by Application
10.6. Y-o-Y Growth Projections by Application
10.7. Latin America Intelligent Customer Service Market Size and Volume Forecast by Type
10.7.1. Cloud-Based
10.7.2. On-Premises
10.8. Basis Point Share (BPS) Analysis by Type
10.9. Y-o-Y Growth Projections by Type
10.10. Market Attractiveness/Growth Potential Analysis
10.10.1. By Country
10.10.2. By Product Type
10.10.3. By Application
10.10.4. By Sales Channel
10.11. Latin America Intelligent Customer Service Demand Share Forecast, 2019-2026
11. Europe Intelligent Customer Service Market Analysis and Forecast
11.1. Introduction
11.1.1. Basis Point Share (BPS) Analysis by Country
11.1.2. Y-o-Y Growth Projections by Country
11.1.3. Europe Average Pricing Analysis
11.2. Europe Intelligent Customer Service Market Size and Volume Forecast by Country
11.2.1. Germany
11.2.2. France
11.2.3. Italy
11.2.4. U.K.
11.2.5. Spain
11.2.6. Russia
11.2.7. Rest of Europe
11.3. Absolute $ Opportunity Assessment by Country
11.4. Europe Intelligent Customer Service Market Size and Volume Forecast by Application
11.4.1. E-commerce
11.4.2. Finance
11.4.3. Government
11.4.4. Others
11.5. Basis Point Share (BPS) Analysis by Application
11.6. Y-o-Y Growth Projections by Application
11.7. Europe Intelligent Customer Service Market Size and Volume Forecast by Type
11.7.1. Cloud-Based
11.7.2. On-Premises
11.8. Bass Point Share (BPS) Analysis by Type
11.9. Y-o-Y Growth Projections by Type
11.10. Market Attractiveness/Growth Potential Analysis
11.10.1. By Country
11.10.2. By Product Type
11.10.3. By Application
11.10.4. By Sales Channel
11.11. Europe Intelligent Customer Service Demand Share, 2019-2026
12. Asia Pacific Intelligent Customer Service Market Analysis and Forecast
12.1. Introduction
12.1.1. Basis Point Share (BPS) Analysis by Country
12.1.2. Y-o-Y Growth Projections by Country
12.1.3. Asia Pacific Average Pricing Analysis
12.2. Asia Pacific Intelligent Customer Service Market Size and Volume Forecast by Country
12.2.1. China
12.2.2. Japan
12.2.3. South Korea
12.2.4. India
12.2.5. Australia
12.2.6. Rest of Asia Pacific (APAC)
12.3. Absolute $ Opportunity Assessment by Country
12.4. Asia Pacific Intelligent Customer Service Market Size and Volume Forecast by Application
12.4.1. E-commerce
12.4.2. Finance
12.4.3. Government
12.4.4. Others
12.5. Basis Point Share (BPS) Analysis by Application
12.6. Y-o-Y Growth Projections by Application
12.7. Asia Pacific Intelligent Customer Service Market Size and Volume Forecast by Type
12.7.1. Cloud-Based
12.7.2. On-Premises
12.8. Basis Point Share (BPS) Analysis by Type
12.9. Y-o-Y Growth Projections by Type
12.10. Market Attractiveness/Growth Potential Analysis
12.10.1. By Country
12.10.2. By Product Type
12.10.3. By Application
12.10.4. By Sales Channel
12.11. Asia Pacific Intelligent Customer Service Demand Share, 2019-2026
13. Middle East & Africa Intelligent Customer Service Market Analysis and Forecast
13.1. Introduction
13.1.1. Basis Point Share (BPS) Analysis by Country
13.1.2. Y-o-Y Growth Projections by Country
13.1.3. Asia Pacific Average Pricing Analysis
13.2. Middle East & Africa Intelligent Customer Service Market Size and Volume Forecast by Country
13.2.1. Saudi Arabia
13.2.2. South Africa
13.2.3. UAE
13.2.4. Rest of Middle East & Africa (MEA)
13.3. Absolute $ Opportunity Assessment by Country
13.4. Middle East & Africa Intelligent Customer Service Market Size and Volume Forecast by Application
13.4.1. E-commerce
13.4.2. Finance
13.4.3. Government
13.4.4. Others
13.5. Basis Point Share (BPS) Analysis by Application
13.6. Y-o-Y Growth Projections by Application
13.7. Middle East & Africa Intelligent Customer Service Market Size and Volume Forecast by Type
13.7.1. Cloud-Based
13.7.2. On-Premises
13.8. Basis Point Share (BPS) Analysis by Type
13.9. Y-o-Y Growth Projections by Type
13.10. Market Attractiveness/Growth Potential Analysis
13.10.1. By Country
13.10.2. By Product Type
13.10.3. By Application
13.10.4. By Sales Channel
13.11. Middle East & Africa Intelligent Customer Service Demand Share, 2019-2026
14. Competition Landscape
14.1. Global Intelligent Customer Service Market: Market Share Analysis
14.2. Intelligent Customer Service Distributors and Customers
14.3. Intelligent Customer Service Market: Competitive Dashboard
14.4. Company Profiles (Details Overview, Financials, Developments, Strategy)
14.4.1. Microsoft
14.4.1.1. Overview
14.4.1.2. Financials
14.4.1.3. Developments
14.4.1.4. Strategic Outlook
14.4.2. Dassault Systèmes
14.4.2.1. Overview
14.4.2.2. Financials
14.4.2.3. Developments
14.4.2.4. Strategic Outlook
14.4.3. IBM
14.4.3.1. Overview
14.4.3.2. Financials
14.4.3.3. Developments
14.4.3.4. Strategic Outlook
14.4.4. Xiaoi Robot
14.4.4.1. Overview
14.4.4.2. Financials
14.4.4.3. Developments
14.4.4.4. Strategic Outlook
14.4.5. Yunwen Technology
14.4.5.1. Overview
14.4.5.2. Financials
14.4.5.3. Developments
14.4.5.4. Strategic Outlook
14.4.6. Google
14.4.6.1. Overview
14.4.6.2. Financials
14.4.6.3. Developments
14.4.6.4. Strategic Outlook
14.4.7. Ipsoft
14.4.7.1. Overview
14.4.7.2. Financials
14.4.7.3. Developments
14.4.7.4. Strategic Outlook
14.4.8. DigitalGenius
14.4.8.1. Overview
14.4.8.2. Financials
14.4.8.3. Developments
14.4.8.4. Strategic Outlook
14.4.9. ultimate.ai
14.4.9.1. Overview
14.4.9.2. Financials
14.4.9.3. Developments
14.4.9.4. Strategic Outlook
14.4.10. ThinkOwl
14.4.10.1. Overview
14.4.10.2. Financials
14.4.10.3. Developments
14.4.10.4. Strategic Outlook
14.4.11. Agent.ai
14.4.11.1. Overview
14.4.11.2. Financials
14.4.11.3. Developments
14.4.11.4. Strategic Outlook
14.4.12. Ada
14.4.12.1. Overview
14.4.12.2. Financials
14.4.12.3. Developments
14.4.12.4. Strategic Outlook
14.4.13. Netomi
14.4.13.1. Overview
14.4.13.2. Financials
14.4.13.3. Developments
14.4.13.4. Strategic Outlook
14.4.14. XiaoduoAI
14.4.14.1. Overview
14.4.14.2. Financials
14.4.14.3. Developments
14.4.14.4. Strategic Outlook
14.4.15. Neteast
14.4.15.1. Overview
14.4.15.2. Financials
14.4.15.3. Developments
14.4.15.4. Strategic Outlook
14.4.16. Baidu
14.4.16.1. Overview
14.4.16.2. Financials
14.4.16.3. Developments
14.4.16.4. Strategic Outlook
14.4.17. COMPANY 17
14.4.17.1. Overview
14.4.17.2. Financials
14.4.17.3. Developments
14.4.17.4. Strategic Outlook
14.4.18. COMPANY 18
14.4.18.1. Overview
14.4.18.2. Financials
14.4.18.3. Developments
14.4.18.4. Strategic Outlook
14.4.19. COMPANY 19
14.4.19.1. Overview
14.4.19.2. Financials
14.4.19.3. Developments
14.4.19.4. Strategic Outlook
14.4.20. COMPANY 20
14.4.20.1. Overview
14.4.20.2. Financials
14.4.20.3. Developments
14.4.20.4. Strategic Outlook
