Conversational Artificial Intelligence (AI) Market | 2031

Conversational Artificial Intelligence (AI) Market | 2031

Segments - Conversational Artificial Intelligence (AI) Market by Type (Intelligent Virtual Assistants, Chatbots, and Voice Assistant Systems), Technology (Automatic Speech Recognition (ASR), Natural Language Processing (NLP), ML & Deep Learning), Deployment (Cloud and On-Premise) Component (Solutions and Services [Managed Services and Professional Services {System Integration & Implementation, Support & Maintenance, and Training & Consulting}]), End-user (Healthcare, IT & Telecom, Retail & Ecommerce, Media & Entertainment, Automotive, Education, and BFSI), and Region (Asia Pacific, North America, Latin America, Europe, and Middle East & Africa) - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast 2023 – 2031

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Author : Raksha Sharma
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Upcoming | Report ID :ICT-SE-4874 | 4.4 Rating | 66 Reviews | 201 Pages | Format : Docx PDF

Report Description


Conversational Artificial Intelligence (AI) Market Outlook 2031

The global conversational artificial intelligence (AI) market size was valued at USD 433.39 Billion in 2022 and is likely to reach USD 751.07 Billion by 2031, expanding at a CAGR of 6.3% during 2023–2031. The market growth is attributed to the rising demand for AI-powered customer support services and the rapid adoption of new advancements in AI technology.

Conversational AI is a type of artificial intelligence such as chatbots or virtual agents that users can talk to. Conversational AI helps with scheduling meetings to answer critical questions with a simple voice or text command. It uses machine learning, large volumes of data, and
natural language processing to help imitate human interactions, recognizing speech and text inputs and translating their meanings across various languages.

Conversational Artificial Intelligence (AI) Market Outlook

Using AI-powered technologies such as chatbots, voice assistant systems, and Intelligent Virtual Assistants (IVA) organizations are expected to provide personalized and differentiated experiences that build relationships with their customers. These AI technologies offer customers personalized products, recommendations, and content more likely to meet their needs.

CAI c
hatbots are expected to replace human agents in the near future with their ability to answer frequently asked questions (FAQs) around topics, like shipping, providing personalized advice, suggesting sizes for users, cross-selling products, and so on.

The COVID-19 pandemic opened up immense opportunities for the global conversational AI market owing to the increasing demand for AI-based technologies to increase efficiency and productivity from major global companies. Governments across the globe imposed strict regulations on traveling such as social distancing to prevent the spread of coronavirus. Due to these strict regulations, major IT companies enabled work-from-home options for their employees, these fueled the use of chatbots and IVA.

During the pandemic, conversational AI has become an essential tool in the arsenal of healthcare and public sector entities that were trying hard to spread the right information and awareness amongst the public. Many companies faced difficulties in providing customer services as the number of employees decreased, which leads to the increased demand for conversational AI services and solutions for customer satisfaction.

Conversational Artificial Intelligence (AI) Market Dynamics

The research report presents a complete market overview by providing detailed information about the current market trends, existing drivers, growth opportunities and potentials, and emerging challenges. The conversational ai market report has up-to-date insights about market scenarios that can shape the overall market performance and output during the forecast period, 2023 to 2031.

Conversational AI Market Dynamics

Major Drivers

Rising demand for AI-based technologies for customer support services is expected to propel the global market. AI-based customer support services including chatbots are gaining rapid traction in various sectors, especially in the retail & e-commerce, and IT sectors.  

  • For instance, in May 2023, Lazada Group, one of Southeast Asia’s e-commerce companies released LazzieChat, the first e-Commerce AI chatbot of its kind in Southeast Asia powered by OpenAI ChatGPT technology in Azure OpenAI Service. The chatbot can answer users' shopping queries on the Lazada platform to offer an engaging, and informed shopping experience.

These conversational bots further help companies in automating administrative tasks like scheduling interviews, screening resumes, or managing paperwork. Companies are focusing on adopting conversational AI systems to increase efficiency is likely to fuel the conversational ai market growth.

Existing Restraints 

The lack of awareness regarding conversational AI technologies is expected to restrain the market. Several types of AI-based technologies have a lot of advantages in service-type businesses but consumers have limited knowledge of AI technologies such as voice assistants, chatbots, and IVA.

AI-based technologies are almost present in every smartphone but due to a lack of awareness and proper knowledge regarding the benefits of AI-based technologies across the globe, especially in emerging economies, the market is further restrained. For instance, India and Brazil, are one of the top consumers of smartphones but the awareness regarding AI-based technologies is comparatively lower than the usage. This can be a major factor to hamper the global market.

Moreover, the high cost of conversational AI is expected to impede the global market. Chatbots and IVAs need 24×7 surveillance, for the surveillance companies need employees only dedicated to the service which can cost a lot of money. The high cost of AI-based technology is expected to hinder the market as only major companies adhere to expensive AI technologies.

Emerging Opportunities

AI-powered technologies are gaining high traction across the globe. The rapid adoption of advanced AI-powered technologies to increase productivity and enhance the efficiency of companies is expected to produce lucrative opportunities for conversational AI in the global market.

The growing use of AI and new technologies offer companies in building intelligent services to perform tasks that open new doors for advanced AI-powered technologies to drive. These conversational bots further help companies automate administrative tasks like scheduling interviews, screening resumes, or managing paperwork. Companies are focusing on adopting conversational AI systems for delivering customer support services and increasing efficiency is likely to fuel the conversational ai market growth.

  • In July 2023, NEC Corporation launched a generative artificial intelligence (AI) that is customizable for each customer in order to create new value for companies in response to business changes caused by new technologies.

Scope of Conversational Artificial Intelligence (AI) Market Report

The market report includes an assessment of the market trends, market segments, and regional markets. Overview and dynamics have also been included in the report.

Attributes

Details

Report Title

Conversational Artificial Intelligence (AI) Market - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast

Base Year

2022

Historic Data

2016–2021

Forecast Period

2023–2031

Segmentation

Type (Intelligent Virtual Assistants, Chatbots, and Voice Assistant Systems), Technology (Automatic Speech Recognition (ASR), Natural Language Processing (NLP), ML & Deep Learning), Deployment (Cloud and On-Premise) Component (Solutions and Services [Managed Services and Professional Services {System Integration & Implementation, Support & Maintenance, and Training & Consulting}]), and End-user (Healthcare, IT & Telecom, Retail & E-commerce, Media & Entertainment, Automotive, Education, and BFSI)

Regional Scope

Asia Pacific, North America, Latin America, Europe, and Middle East & Africa

Report Coverage

Company Share, Market Analysis and Size, Competitive Landscape, Growth Factors, Market Trends, and Revenue Forecast

Key Players Covered in the Report

Microsoft; Amazon.com, Inc.; Kore.ai Inc.; Oracle; Fobi AI Inc.; Nuance Communications, Inc.; SAP SE; Artificial Solutions; DoNotPay;  Avaamo; Gartner, Inc.; Rasa Technologies Inc; Pypestream Inc.; Aviso.; FIS.; Cognigy; and Google LLC.

Conversational Artificial Intelligence (AI) Market Segment Insights

Type Segment Analysis

Based on type, the global conversational AI market is divided into Intelligent Virtual Assistants, chatbots, and voice assistant systems. The voice assistant system segment is expected to expand at a significant growth rate during the projected period due to the increasing use of voice assistant systems in smartphones, and automotive navigation systems, and to create of smart offices and homes.

Voice assistant systems are powerful hands-free computing tools that are most used in day-to-day life. Consumers are preferring hands-free voice assistant systems such as Amazon Alexa, Google Voice Assistant, Apple Siri, or Microsoft Cortana.  All these systems are web-connected software tools that listen to the command, interpret them, and act on them.

These systems are extensively used in smart home speakers such as Amazon Echo and Google Home for easy hands-free assistance to get all the needful information. Increasing the use of voice assistant systems to get news, weather information, and traffic updates is likely to boost the segment in the global market.

Moreover, Major automotive manufacturing companies are pre-installing voice assistant systems to enable driving hands-free mode for consumers. AI-based technologies such as Cortana, Google voice assistant, and Siri can give directions, receive calls, and send messages without even touching the handset.

  • For instance, in June 2023, Mercedes-Benz plans to expand the use of artificial intelligence and integrate it into the voice control of its vehicles. It is further planning to add ChatGPT, voice control via the "Hey Mercedes" MBUX Voice Assistant which will become even more natural. This program is expected to begin on June 16, 2023, for over 900,000 vehicles equipped with the MBUX infotainment system1.  

However, the chatbots segment is anticipated to hold a major share of the market in the coming years owing to the increasing use of chatbots as a mediator in customer support service. Chatbots are AI-generated program that is designed to conduct an online conversation via text-to-speech or text.

CAI chatbots are widely used in organizations to increase service productivity or sales for time-saving and efficiency. This helps employees to focus on more important tasks and prevents customers from waiting to receive responses. The rapid adoption of voice-enabled chatbots which are created by using text-to-speech and voice recognition is likely to drive the segment in the global market during the forecast period.

Deployment Segment Analysis

On the basis of deployment, the global market is bifurcated into cloud and on-premise. The cloud segment held the major revenue share in 2021 and is expected to expand at a significant rate owing to the rising prominence of cloud services in the global market.

Cloud service enables AI that can power self-service solutions and the advantage of access to data from anywhere. Major IT & telecom and e-commerce companies are preferring cloud deployments for easy access that can drive the segment in the global market.


The On-premise segment is projected to register a considerable CAGR during the forecast period due to the steady demand for on-premise-based conversational AI services. On-premise ones are cheaper than cloud-based which can be a major factor for the rapid adoption of this deployment in the global conversational AI market.

  • For instance, in May 2023, Dell Technologies and NVIDIA announce a joint initiative called Project Helix to make it easier for businesses to build and use generative AI models on-premises to quickly and securely deliver better customer service, market intelligence, and other capabilities. It will provide a number of full-stack solutions with technical expertise and pre-built tools based on Dell and NVIDIA infrastructure and software.

Technology Segment Analysis

Based on technology, the global conversational AI market is divided into Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and ML & Deep Learning. The Natural Language Processing segment is expected to expand at a significant rate due to the capability of processing large quantities of natural language data.

AI technology-based companies can extract information or data from text-based documents and improve on more complex analytics tasks using NLP technologies. This technology enables the streamlining of the documentation process by enhancing efficiency with documentation accuracy. 

Global companies across the globe are focusing on delivering better customer support services through AI chatbots and emails. CAI chatbots use NLP technology to connect and assist customers to conduct human-like interactions.

Rising use of chatbot to achieve business acumen regarding customer preferences, and purchase patterns and to increase productivity. 
For instance, in November 2021, a US-based technical service company, ZeroShotBot in Ann Arbor announced the launch of a new conversational AI technology that allows for chatbots that can be scalable within hours and requires no training data, allowing those with no coding experience to create a fully functional chatbot. 

Conversational Artificial Intelligence (AI) Market Technology

Components Segment Analysis

In terms of component, the global market is segregated into solutions and services. The services segment is expected a significant growth rate owing to the rising demand for conversational AI for personal services such as training & consultancy. The service segment is further segregated into managed services and professional services. Professional services are widely used in the e-commerce and IT sectors for training and consulting purposes.

Conversational AI has been a major driving factor in the rapid growth of the retail e-commerce sector as many companies are adopting AI-based technology for daily customer interaction. Companies are focusing on providing maintenance and support services for customer satisfaction in the form of voice assistants, chatbots, and applications that can deliver informal and repetitive customer service tasks or execute complex processes in many industries.

The solutions segment is likely to register a considerable CAGR during the forecast period due to the rising demand for customer support solutions across various sectors such as BFSI, healthcare, and IT & Telecom. Some major global players in the market, such as Accenture, are offering AI-enhanced support solutions that serve users with the availability of services and 24/7 assistance, making businesses capable of providing reliable customer support.

Amazon Web Services, Inc
which is the subsidiary company of a US-based, multinational e-commerce company, is in partnership with Accenture for conversational AI solutions to improve customer satisfaction, reduce wait times, ease call volume surges, and facilitate continuous improvements through AI and machine learning.

End-user Segment Analysis

On the basis of end-user, the global market is divided into healthcare, IT & Telecom, retail & e-commerce media & entertainment, automotive, education, and BFSI. The retail & e-commerce segment is expected to grow at a significant rate owing to the extensive use of conversational AI in professional services and solutions for customer support services. 

Retail & eCommerce companies use AI-powered technologies for system integration and implementation. By using conversational AI, companies across the retail and eCommerce sectors can significantly increase their conversion rates by using Conversational AI in the sales process. 

The BFSI segment is expected to register a considerable CAGR in the global market during the forecast period due to the increased use of cloud-based conversational bots and more attention to improving customer alignment. The virtual assistant helps the business serve customers by offering an extra method of communication where customers can also ask virtual assistants for assistance on any subject that pertains to a particular firm. 

The rising surge for conversational AI solutions in the BFSI sector, especially in banking uses NLP technology to interact, collaborate, and transact with customers. By adopting AI-powered solutions, banks now have the chance to innovate and enhance brand awareness and retain customers to build their brand identity.

  • For instance, in July 2023, Mastercard unveiled a new artificial intelligence (AI)-power tool which aimed to help banks fight payment scams and fraud in real time prior to any monetary exploits. Through analyzing the data, the system is able to predict whether or not a user is trying to make a transfer of funds to another account.

Regional Analysis

In terms of region, the global conversational AI market is classified as Asia Pacific, North America, Latin America, Europe, and Middle East & Africa. The market size of North America is expected to dominate the market during the projected period due to the rapid adoption of AI-based technologies for customer service support to strengthen customer retention.

Increasing technological advancements in artificial intelligence services in the region and the presence of major key players are likely to boost the global market in the coming years.

  • For instance, in July 2023, Elon Musk, the multi-millionaire entrepreneur, launched his artificial intelligence startup xAI. He further revealed his plan for building a safer AI rather than explicitly programming morality into its AI.

The market of the Asia Pacific is anticipated to expand at a rapid pace during the forecast period owing to the increasing awareness regarding the benefits of conversational AI. Increasing adoption of new AI-based technological advancements in the retail and e-commerce sector in emerging economies such as India and China is likely to drive market growth during the forecast period.

  • For instance, in March 2023, Fobi AI, a leading AI company said it is expanding its technology solutions to the Asia-Pacific (APAC) region starting with its technology officially launching in Japan. According to the analysis by the company, they see possible opportunities within the tech, hospitality, and sports markets in Japan.

Conversational Artificial Intelligence (AI) Market Region

Segments

The global conversational AI market has been segmented on the basis of

Type

  • Intelligent Virtual Assistants (IVA)
  • Chatbots
  • Voice assistant system

Technology

  • Automatic Speech Recognition
  • Natural Language Processing
  • ML & Deep Learning

Deployment

  • Cloud
  • On-Premise

Component

  • Solutions and Services
    • Managed Services
    • Professional Services
      • System Integration & Implementation
      • Support & Maintenance
      • Training & Consulting

End-user

  • Healthcare
  • IT & Telecom
  • Retail & E-commerce
  • Media & Entertainment
  • Automotive
  • Education
  • BFSI

Region

  • Asia Pacific
  • North America
  • Latin America
  • Europe
  • Middle East & Africa

Key Players

  • Microsoft
  • Amazon.com, Inc.
  • Kore.ai Inc.
  • Oracle
  • Fobi AI Inc.
  • Nuance Communications, Inc.
  • SAP SE
  • Artificial Solutions
  • DoNotPay 
  • Avaamo
  • Gartner, Inc.
  • Rasa Technologies Inc
  • Pypestream Inc.
  • Aviso.
  • FIS.
  • Cognigy
  • Google LLC

Competitive Landscape

Key players competing in the global conversational AI market are Microsoft; Amazon.com, Inc.; Kore.ai Inc.; Oracle; Fobi AI Inc.; Nuance Communications, Inc.; SAP SE; Artificial Solutions; DoNotPay; Avaamo; Gartner, Inc.; Rasa Technologies Inc; Pypestream Inc.; Aviso.; FIS.; Cognigy; and Google LLC.

Some of these major companies adopted various business development strategies including mergers, acquisitions, partnerships, collaboration, product launches, and production capacity expansion to expand their consumer base and enhance their market share.

  • In July 2023, Microsoft launched a new Xbox safety feature that enables players to capture and report inappropriate voice activity in any multiplayer game that features in-game voice chat. The “capture now, report later” feature is available for Xbox Insiders now across Xbox Series X|S and Xbox One.
     
  • In Dec 2022, DoNotPay, the world’s first robot lawyer, launched a new AI-powered chatbot that can help users in negotiating bills and cancel subscriptions without having to deal with customer service. This is the first time DoNotPay’s using an AI chatbot to interact with a representative in real time.
     
  • In May 2021, Google Cloud announced the general availability of Vertex AI, a managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models.
  • In April 2021, a US-based multinational technology company, Microsoft Corporation acquired Nuance Communications, Inc, an AI-based technology company. This acquisition will combine solutions and expertise to deliver new cloud and AI capabilities across healthcare and other industries.

Conversational Artificial Intelligence (AI) Market Key Players

Frequently Asked Questions

The segments of the Conversational AI Market are type, technology, deployment, and component

The CONVERSATIONAL AI key market players are Microsoft; Amazon.com, Inc.; Kore.ai, Inc.; Oracle Corporation; Nuance Communications, Inc.; SAP SE; Artificial Solutions; Avaamo; Rasa Technologies Inc; Pypestream Inc.; Aviso.; Fidelity National Information Services, Inc.; Cognigy; and Google LLC.

North America is likely to dominate the global conversational AI market during the forecast period due to the rapid adoption of AI-based technologies for customer service support to strengthen customer retention.

Key drivers for the global market are the rising demand for AI-powered customer support service and the rapid adoption of new advancements in AI technology.

On the basis of deployment, the cloud segment constituted a key share of the global Conversational AI market in 2021.

The global conversational AI market size was USD 6.7 Bn in 2021 and is likely to reach USD 30.2 Bn by 2030, expanding at a compound annual growth rate of 21.8% during 2022–2030.

Table Of Content

1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Conversational AI 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. Conversational AI Market Dynamics
     4.3.1. Market Drivers
     4.3.2. Market Restraints
     4.3.3. Opportunity
     4.3.4. Market Trends
  4.4. Conversational AI Market - Supply Chain
  4.5. Global Conversational AI Market Forecast
     4.5.1. Conversational AI Market Size (US$ Mn) and Y-o-Y Growth
     4.5.2. Conversational AI Market Size (000’ Units) and Y-o-Y Growth
     4.5.3. Conversational AI Market Absolute $ Opportunity
5. Global Conversational AI Market Analysis and Forecast by Types
  5.1. Market Trends
  5.2. Introduction
     5.2.1. Basis Point Share (BPS) Analysis by Types
     5.2.2. Y-o-Y Growth Projections by Types
  5.3. Conversational AI Market Size and Volume Forecast by Types
     5.3.1. Intelligent Virtual Assistants (IVA)
     5.3.2. Chatbots
     5.3.3. Voice assistant system
  5.4. Absolute $ Opportunity Assessment by Types
  5.5. Market Attractiveness/Growth Potential Analysis by Types
6. Global Conversational AI Market Analysis and Forecast by End Users
  6.1. Market Trends
  6.2. Introduction
     6.2.1. Basis Point Share (BPS) Analysis by End Users
     6.2.2. Y-o-Y Growth Projections by End Users
  6.3. Conversational AI Market Size and Volume Forecast by End Users
     6.3.1. Healthcare
     6.3.2. IT & Telecom
     6.3.3. Retail & E-commerce
     6.3.4. Media & Entertainment
     6.3.5. Automotive
     6.3.6. Education
     6.3.7. BFSI
  6.4. Absolute $ Opportunity Assessment by End Users
  6.5. Market Attractiveness/Growth Potential Analysis by End Users
7. Global Conversational AI Market Analysis and Forecast by Region
  7.1. Market Trends
  7.2. Introduction
     7.2.1. Basis Point Share (BPS) Analysis by Region
     7.2.2. Y-o-Y Growth Projections by Region
  7.3. Conversational AI Market Size and Volume Forecast by Region
     7.3.1. North America
     7.3.2. Latin America
     7.3.3. Europe
     7.3.4. Asia Pacific
     7.3.5. Middle East and Africa (MEA)
  7.4. Absolute $ Opportunity Assessment by Region
  7.5. Market Attractiveness/Growth Potential Analysis by Region
  7.6. Global Conversational AI Demand Share Forecast, 2019-2026
8. North America Conversational AI Market Analysis and Forecast
  8.1. Introduction
     8.1.1. Basis Point Share (BPS) Analysis by Country
     8.1.2. Y-o-Y Growth Projections by Country
  8.2. North America Conversational AI Market Size and Volume Forecast by Country
     8.2.1. U.S.
     8.2.2. Canada
  8.3. Absolute $ Opportunity Assessment by Country
  8.4. North America Conversational AI Market Size and Volume Forecast by Types
     8.4.1. Intelligent Virtual Assistants (IVA)
     8.4.2. Chatbots
     8.4.3. Voice assistant system
  8.5. Basis Point Share (BPS) Analysis by Types
  8.6. Y-o-Y Growth Projections by Types
  8.7. North America Conversational AI Market Size and Volume Forecast by End Users
     8.7.1. Healthcare
     8.7.2. IT & Telecom
     8.7.3. Retail & E-commerce
     8.7.4. Media & Entertainment
     8.7.5. Automotive
     8.7.6. Education
     8.7.7. BFSI
  8.8. Basis Point Share (BPS) Analysis by End Users
  8.9. Y-o-Y Growth Projections by End Users
  8.10. Market Attractiveness/Growth Potential Analysis
     8.10.1. By Country
     8.10.2. By Product Type
     8.10.3. By Application
  8.11. North America Conversational AI Demand Share Forecast, 2019-2026
9. Latin America Conversational AI 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
     9.1.3. Latin America Average Pricing Analysis
  9.2. Latin America Conversational AI Market Size and Volume Forecast by Country
      9.2.1. Brazil
      9.2.2. Mexico
      9.2.3. Rest of Latin America
   9.3. Absolute $ Opportunity Assessment by Country
  9.4. Latin America Conversational AI Market Size and Volume Forecast by Types
     9.4.1. Intelligent Virtual Assistants (IVA)
     9.4.2. Chatbots
     9.4.3. Voice assistant system
  9.5. Basis Point Share (BPS) Analysis by Types
  9.6. Y-o-Y Growth Projections by Types
  9.7. Latin America Conversational AI Market Size and Volume Forecast by End Users
     9.7.1. Healthcare
     9.7.2. IT & Telecom
     9.7.3. Retail & E-commerce
     9.7.4. Media & Entertainment
     9.7.5. Automotive
     9.7.6. Education
     9.7.7. BFSI
  9.8. Basis Point Share (BPS) Analysis by End Users
  9.9. Y-o-Y Growth Projections by End Users
  9.10. Market Attractiveness/Growth Potential Analysis
     9.10.1. By Country
     9.10.2. By Product Type
     9.10.3. By Application
  9.11. Latin America Conversational AI Demand Share Forecast, 2019-2026
10. Europe Conversational AI 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. Europe Average Pricing Analysis
  10.2. Europe Conversational AI Market Size and Volume Forecast by Country
     10.2.1. Germany
     10.2.2. France
     10.2.3. Italy
     10.2.4. U.K.
     10.2.5. Spain
     10.2.6. Russia
     10.2.7. Rest of Europe
  10.3. Absolute $ Opportunity Assessment by Country
  10.4. Europe Conversational AI Market Size and Volume Forecast by Types
     10.4.1. Intelligent Virtual Assistants (IVA)
     10.4.2. Chatbots
     10.4.3. Voice assistant system
  10.5. Basis Point Share (BPS) Analysis by Types
  10.6. Y-o-Y Growth Projections by Types
  10.7. Europe Conversational AI Market Size and Volume Forecast by End Users
     10.7.1. Healthcare
     10.7.2. IT & Telecom
     10.7.3. Retail & E-commerce
     10.7.4. Media & Entertainment
     10.7.5. Automotive
     10.7.6. Education
     10.7.7. BFSI
  10.8. Basis Point Share (BPS) Analysis by End Users
  10.9. Y-o-Y Growth Projections by End Users
  10.10. Market Attractiveness/Growth Potential Analysis
     10.10.1. By Country
     10.10.2. By Product Type
     10.10.3. By Application
  10.11. Europe Conversational AI Demand Share Forecast, 2019-2026
11. Asia Pacific Conversational AI 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. Asia Pacific Average Pricing Analysis
  11.2. Asia Pacific Conversational AI Market Size and Volume Forecast by Country
     11.2.1. China
     11.2.2. Japan
     11.2.3. South Korea
     11.2.4. India
     11.2.5. Australia
     11.2.6. Rest of Asia Pacific (APAC)
  11.3. Absolute $ Opportunity Assessment by Country
  11.4. Asia Pacific Conversational AI Market Size and Volume Forecast by Types
     11.4.1. Intelligent Virtual Assistants (IVA)
     11.4.2. Chatbots
     11.4.3. Voice assistant system
  11.5. Basis Point Share (BPS) Analysis by Types
  11.6. Y-o-Y Growth Projections by Types
  11.7. Asia Pacific Conversational AI Market Size and Volume Forecast by End Users
     11.7.1. Healthcare
     11.7.2. IT & Telecom
     11.7.3. Retail & E-commerce
     11.7.4. Media & Entertainment
     11.7.5. Automotive
     11.7.6. Education
     11.7.7. BFSI
  11.8. Basis Point Share (BPS) Analysis by End Users
  11.9. Y-o-Y Growth Projections by End Users
  11.10. Market Attractiveness/Growth Potential Analysis
     11.10.1. By Country
     11.10.2. By Product Type
     11.10.3. By Application
  11.11. Asia Pacific Conversational AI Demand Share Forecast, 2019-2026
12. Middle East & Africa Conversational AI 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. Middle East & Africa Average Pricing Analysis
  12.2. Middle East & Africa Conversational AI Market Size and Volume Forecast by Country
     12.2.1. Saudi Arabia
     12.2.2. South Africa
     12.2.3. UAE
     12.2.4. Rest of Middle East & Africa (MEA)
  12.3. Absolute $ Opportunity Assessment by Country
  12.4. Middle East & Africa Conversational AI Market Size and Volume Forecast by Types
     12.4.1. Intelligent Virtual Assistants (IVA)
     12.4.2. Chatbots
     12.4.3. Voice assistant system
  12.5. Basis Point Share (BPS) Analysis by Types
  12.6. Y-o-Y Growth Projections by Types
  12.7. Middle East & Africa Conversational AI Market Size and Volume Forecast by End Users
     12.7.1. Healthcare
     12.7.2. IT & Telecom
     12.7.3. Retail & E-commerce
     12.7.4. Media & Entertainment
     12.7.5. Automotive
     12.7.6. Education
     12.7.7. BFSI
  12.8. Basis Point Share (BPS) Analysis by End Users
  12.9. Y-o-Y Growth Projections by End Users
  12.10. Market Attractiveness/Growth Potential Analysis
     12.10.1. By Country
     12.10.2. By Product Type
     12.10.3. By Application
  12.11. Middle East & Africa Conversational AI Demand Share Forecast, 2019-2026
13. Competition Landscape
  13.1. Global Conversational AI Market: Market Share Analysis
  13.2. Conversational AI Distributors and Customers
  13.3. Conversational AI Market: Competitive Dashboard
  13.4. Company Profiles (Details: Overview, Financials, Developments, Strategy)
     13.4.1. Microsoft
     13.4.2. Amazon.com, Inc.
     13.4.3. Kore.ai Inc.
     13.4.4. Oracle
     13.4.5. Fobi AI Inc.
     13.4.6. Nuance Communications, Inc.
     13.4.7. SAP SE
     13.4.8. Artificial Solutions
     13.4.9. DoNotPay 
     13.4.10. Avaamo
     13.4.11. Gartner, Inc.
     13.4.12. Rasa Technologies Inc
     13.4.13. Pypestream Inc.
     13.4.14. Aviso.
     13.4.15. FIS.
     13.4.16. Cognigy
     13.4.17. Google LLC

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