Adroit Market Research - Industry Insights
Artificial Intelligence (AI) in Contact Center Market by Component (Computer Platforms, Solutions, Services), Deployment (Cloud, On-Premise), Application (BFSI, Telecom, Retail & E-Commerce, Media & Entertainment, Healthcare, Others), And by Region (North America, Europe, Asia Pacific, Middle East & Africa, South America), Global Forecast 2018 to 2028
Sep 2020
Total Pages: 141
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The market size for global Artificial Intelligence in contact center market is anticipated to reach USD 21 Billion by 2028. The factors such as the developments in technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), machine learning, and big data are fuelling the demand for AI in contact center market growth. Additionally, the increase in internet penetration in developing countries such as India, China, and others, are predominantly responsible for the rise in industry demand in the past few years.
-in-Contact-Center-Market-2020-2028.png "Global Artificial Intelligence (AI) in Contact Center Market 2020-2028")
The demand for AI in the contact center is likely to surge on account of surge in demand for improved customer support services in call centers, exponentially growing volume of data, increasing customer engagement via multiple platforms such as website, social media, email, and growing use of AI-enabled chatbots to manage work operations efficiently and effectively. Moreover, AI systems prefill the information in the ticketing tool during documenting a ticket based on the preceding memory. Thus, the role of AI is extremely demanding in the contact center domain.
Key Segments of the Global Artificial Intelligence in Contact Center Market
Component Overview, 2018-2028 (USD Billion)
- Compute platforms
- Solutions
- Services
Deployment Overview, 2018-2028 (USD Billion)
- Cloud
- On-premises
Application Overview, 2018-2028 (USD Billion)
- BFSI
- Healthcare
- Media & Entertainment
- Retail &eCommerce
- Telecom
- Travel & Hospitality
- Others
Regional Overview, 2018-2028 (USD Billion)
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- Rest of Asia-Pacific
- Middle East and Africa
- UAE
- South Africa
- Rest of Middle East and Africa
- South America
- Brazil
- Rest of South America
Reasons for the study
- The purpose of the study is to give an exhaustive outlook of the global AI in contact center market. Benchmark yourself against the rest of the market.
- Ensure you remain competitive as innovations by existing key players to boost the market.
What does the report include?
- The study on the global AI in contact center market includes qualitative factors such as drivers, restraints, and opportunities
- The study covers the competitive landscape of existing/prospective players in the AI in contact center industry and their strategic initiatives for the product development
- The study covers a qualitative and quantitative analysis of the market segmented based on component, deployment, and application. Moreover, the study provides similar information for the key geographies.
- Actual market sizes and forecasts have been provided for all the above-mentioned segments.
Who should buy this report?
- This study is suitable for industry participants and stakeholders in the global AI in the contact center market. The report will benefit:
- Every stakeholder is involved in the AI in the contact center market.
- Managers within the Tech companies looking to publish recent and forecasted statistics about the global AI in the contact center market.
- Government organizations, regulatory authorities, policymakers, and organizations looking for investments in trends of global AI in the contact center market.
- Analysts, researchers, educators, strategy managers, and academic institutions looking for insights into the market to determine future strategies.
The contact center industry is among the crucial sectors as well as a substantial contributor to the evolving nations such as India, China, among others. The work environment needed in the contact centers is physically, mentally, and emotionally challenging. It needs dealing with handling furious customers, hectic schedules, low budgets, adapting to shift timings, and many more. Adoption of AI-powered bots or software in the contact centers improves issue handling experience and involves an agent’s enthusiasm and attention to work in an otherwise chaotic environment.
It facilitates the service enabler to mitigate the workload by assigning some of the basic work. AI makes use of current data such as frequently asked questions (FAQs) and the enterprise information base to provide enhanced customer service. Chatbots considerably reduce the waiting time for customers since their response time is very fast. AI-enabled bots can offer support to several customers simultaneously unlike a human agent, who might be capable of handling limited clientele at a time. For instance, WeChat uses a combination of AI chatbots and human agents throughout its customer service channels to assist more than 1 billion active global users.
Component Segment
The global AI in the contact center market contains compute platforms, solutions, and service segments. The services segment to grow at a considerable rate within the global AI in the contact center market in 2019. This is predominantly owing to the wide implementation of AI in contact center solutions across service providers and enterprises, thereby generating demand for integration, consulting services, training support, deployment services, and maintenance services throughout the globe. The computer platform segment holds a dominating position within the industry from 2020 to 2028.
Deployment Segment
Based on the deployment segment, the market is bifurcated into two sub-segments that are cloud, and on-premise. In 2019, the Cloud segment gathered the largest market revenue and it is anticipated to dominate the market throughout the forecast period. However, the on-premise segment is anticipated to grow at a substantial growth rate over the forecast period. The on-premise enables organizations with a unified platform with SaaS-based services providing improved security.
Application Segment
Based on the application, the market is segmented into BFSI, healthcare, media & entertainment, retail & eCommerce, telecom, travel & hospitality, and others. The BFSI segment is likely to dominate the AI in the contact center market in 2019. This sector forged the use of IVAs/chatbots/ across different operations. Presently, the sector signifies the higher implementation of call center solutions and platforms concerning other industry verticals. The contact center AI solutions facilitate insurance and financial institutions in impeccably connecting with their clients, decreasing the customer churn, enhancing customer experience.
The global AI in contact center market is a wide range to North America, Europe, APAC, South America, and the Middle East & Africa. North America is considered a mature market in the AI in contact center applications, owing to an outsized presence of an organization with the availability of technical expertise and advanced IT infrastructure. The US and Canada are the highest contributory countries to the expansion of the AI in contact center market in North America.
-in-Contact-Center-Market-2018-2028.png "North America Artificial Intelligence (AI) in Contact Center Market 2018-2028")
The major players of the global AI in contact center market are IBM, Google, AWS, Microsoft, SAP, Oracle, Artificial Solutions, Nuance, Avaya, Haptik, NICE inContact, EdgeVerve, Avaamo, Inbenta, Rulai,Kore.ai, Creative Virtual, and more. The AI in the contact center market is fragmented with the existence of well-known global and domestic players across the globe.
The market size for global Artificial Intelligence in contact center market is anticipated to reach USD 21 Billion by 2028. The factors such as the developments in technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), machine learning, and big data are fuelling the demand for AI in contact center market growth. Additionally, the increase in internet penetration in developing countries such as India, China, and others, are predominantly responsible for the rise in industry demand in the past few years.
The demand for AI in the contact center is likely to surge on account of surge in demand for improved customer support services in call centers, exponentially growing volume of data, increasing customer engagement via multiple platforms such as website, social media, email, and growing use of AI-enabled chatbots to manage work operations efficiently and effectively. Moreover, AI systems prefill the information in the ticketing tool during documenting a ticket based on the preceding memory. Thus, the role of AI is extremely demanding in the contact center domain.
Key Segments of the Global Artificial Intelligence in Contact Center Market
Component Overview, 2018-2028 (USD Billion)
- Compute platforms
- Solutions
- Services
Deployment Overview, 2018-2028 (USD Billion)
- Cloud
- On-premises
Application Overview, 2018-2028 (USD Billion)
- BFSI
- Healthcare
- Media & Entertainment
- Retail &eCommerce
- Telecom
- Travel & Hospitality
- Others
Regional Overview, 2018-2028 (USD Billion)
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- Rest of Asia-Pacific
- Middle East and Africa
- UAE
- South Africa
- Rest of Middle East and Africa
- South America
- Brazil
- Rest of South America
Reasons for the study
- The purpose of the study is to give an exhaustive outlook of the global AI in contact center market. Benchmark yourself against the rest of the market.
- Ensure you remain competitive as innovations by existing key players to boost the market.
What does the report include?
- The study on the global AI in contact center market includes qualitative factors such as drivers, restraints, and opportunities
- The study covers the competitive landscape of existing/prospective players in the AI in contact center industry and their strategic initiatives for the product development
- The study covers a qualitative and quantitative analysis of the market segmented based on component, deployment, and application. Moreover, the study provides similar information for the key geographies.
- Actual market sizes and forecasts have been provided for all the above-mentioned segments.
Who should buy this report?
- This study is suitable for industry participants and stakeholders in the global AI in the contact center market. The report will benefit:
- Every stakeholder is involved in the AI in the contact center market.
- Managers within the Tech companies looking to publish recent and forecasted statistics about the global AI in the contact center market.
- Government organizations, regulatory authorities, policymakers, and organizations looking for investments in trends of global AI in the contact center market.
- Analysts, researchers, educators, strategy managers, and academic institutions looking for insights into the market to determine future strategies.
Chapter 1 Introduction
1.1 Introduction to the Study
1.2 Market Definition and Scope
1.3 Units, Currency, Conversions and Years Considered
1.4 Key Stakeholders
1.5 Key Questions Answered
Chapter 2 Research Methodology
2.1 Introduction
2.2 Data Capture Sources
2.2.1 Primary Sources
2.2.2 Secondary Sources
2.3 Market Size Estimation
2.4 Market Forecast
2.5 Data Triangulation
2.6 Assumptions and Limitations
Chapter 3 Executive Summary
Chapter 4 Market Outlook
4.1 Introduction
4.2 Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.1.1 Rise in Customer Engagement Via Social Media Platforms
4.3.1.2 Enhanced Customer Support Services through AI Integrated Platforms
4.3.2 Restraints
4.3.2.1 Security and Ethical Concerns
4.3.3 Opportunities
4.5 PEST Analysis
4.6 COVID-19 Impact Analysis
Chapter 5 AI in Contact Center Market by Component
5.1 Introduction
5.1.1 Solutions
5.1.2 Services
Chapter 6 AI in Contact Center Market by Deployment
6.1 Introduction
6.1.1 Cloud
6.1.2 On-premises
Chapter 7 AI in Contact Center Market by Application
7.1 Introduction
7.1.1 BFSI
7.1.2 Healthcare
7.1.3 Media & Entertainment
7.1.4 Retail &eCommerce
7.1.5Telecom
7.1.6Travel & Hospitality
7.1.7Others
Chapter 8 AI in Contact Center Market by Region
8.1 Introduction
8.2 North America
8.2.1 U.S.
8.2.2 Canada
8.3 Europe
8.3.1 Germany
8.3.2 France
8.3.3 UK
8.3.4 Rest of Europe
8.4 Asia Pacific
8.4.1 China
8.4.2 Japan
8.4.3 India
8.4.4 Rest of Asia Pacific
8.5 Middle East & Africa
8.5.1 UAE
8.5.2 South Africa
8.5.3 Rest of Middle East & Africa
8.6 South America
8.6.1 Brazil
8.6.2 Rest of South America
Chapter 9 Competitive Landscape
9.1 Overview
9.2 Strategic Initiatives
9.2.1 Mergers & Acquisitions
9.2.2 New Product Launch
9.2.3 Investments
9.2.4 Expansion
9.2.5 Others
Chapter 10 Company Profiles
10.1 Artificial Solutions
10.1.1 Overview
10.1.2 Products and Services Portfolio
10.1.3 Recent Initiatives
10.1.4 Company Financials
10.1.5 SWOT
10.2 Avaya
10.2.1 Overview
10.2.2 Products and Services Portfolio
10.2.3 Recent Initiatives
10.2.4 Company Financials
10.2.5 SWOT
10.3 AWS
10.3.1 Overview
10.3.2 Products and Services Portfolio
10.3.3 Recent Initiatives
10.3.4 Company Financials
10.3.5 SWOT
10.4 Google
10.4.1 Overview
10.4.2 Products and Services Portfolio
10.4.3 Recent Initiatives
10.4.4 Company Financials
10.4.5 SWOT
10.5 Haptik
10.5.1 Overview
10.5.2 Products and Services Portfolio
10.5.3 Recent Initiatives
10.5.4 Company Financials
10.5.5 SWOT
10.6 IBM
10.6.1 Overview
10.6.2 Products and Services Portfolio
10.6.3 Recent Initiatives
10.6.4 Company Financials
10.6.5 SWOT
10.7 Microsoft
10.7.1 Overview
10.7.2 Products and Services Portfolio
10.7.3 Recent Initiatives
10.7.4 Company Financials
10.7.5 SWOT
10.8 Nuance
10.8.1 Overview
10.8.2 Products and Services Portfolio
10.8.3 Recent Initiatives
10.8.4 Company Financials
10.8.5 SWOT
10.9 Oracle
10.9.1 Overview
10.9.2 Products and Services Portfolio
10.9.3 Recent Initiatives
10.9.4 Company Financials
10.9.5 SWOT
10.10 SAP
10.10.1 Overview
10.10.2Products and Services Portfolio
10.10.3Recent Initiatives
10.10.4Company Financials
10.10.5 SWOT
10.11 Other Companies