Conversational AI Market

Conversational AI Market by Component (Platform and Services), Type (IVA and Chatbots), Technology (ML and Deep Learning, NLP, and ASR), Application, Deployment Mode (Cloud and On-premises), Vertical, and Region - Global Forecast to 2025

Report Code: TC 6976 Jul, 2020, by marketsandmarkets.com
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[242 Pages Report] The global conversational AI market size is expected to grow from USD 4.8 billion in 2020 to USD 13.9 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 21.9% during the forecast period. The upcoming customer engagement through social media platforms and increasing integration of advanced AI capabilities are the major factors adding value to the conversational AI offerings, which is expected to provide opportunities for enterprises operating in various verticals in the market. The lack of accuracy in chatbots and virtual assistants is a major challenge in the conversational AI market. Moreover, the lack of awareness of conversational AI acts as a key restraining factor in the market.

Conversational AI Market

COVID-19 Impact on Global Conversational AI Market

COVID-19 would have an impact on all the elements of the technology sector. The global ICT spending is estimated to decline by 4%–5% by the end of 2020. Moreover, the hardware business is predicted to have the most impact on the IT industry. Due to the slowdown of hardware supply and reduced manufacturing capacity, the IT infrastructure growth has slowed down. Businesses providing solutions and services are also expected to slow down for a short time. However, the adoption of collaborative applications, analytics, security solutions, and AI is set to increase in the remaining part of the year.

In a short time, the COVID-19 outbreak has affected markets and customers' behavior and has a substantial impact on economies and societies. With offices, educational institutions, and manufacturing facilities shutting down for an indefinite period; major sports and events being postponed; and work-from-home and social distancing policies in effect, businesses are increasingly looking for technologies to assist them through these difficult times. Analytics professionals, business intelligence professionals, and professionals providing expertise in more advanced analytics such as AI and ML have been called for their expertise to help executives make business decisions on how to respond to the new business challenges caused by the COVID-19 outbreak.

Market Dynamics

Driver: Increasing demand for AI-powered customer support services

In the last two to three decades, customer services mean customers looking for help from call centers, websites, emails, applications, and so on. However, with advancements in the use of AI technology, organizations are making use of conversational AI solutions to offer customer service efficiently. Today, the focus of enterprises has shifted from providing customer support services through emails or messages to AI-powered chatbots that help enterprises enhance customer experience and engagement. AI-powered chatbots use NLP technology to carry out human-like conversations and assist customers in real-time. They help enterprises fetch business intelligence about customer preferences, opinions, and purchase behaviors, thus enabling organizations to provide proactive recommendations and more personalized experiences based on their account activity. Organizations can also leverage AI-enabled chatbots and virtual agents to automate repetitive and manual processes, such as order placement, balance inquiries, general inquiries, technical assistance, and other customer services. With the use of automation, organizations can achieve higher productivity gains with lower manpower requirements.

Restraint: Lack of awareness about conversational AI solutions

The adoption of conversational AI solutions is increasing across verticals that cater to various engagement types, including content consumption, customer services, and other productive engagements. However, consumers have limited knowledge about chatbots, virtual assistants, and digital personal assistants, as well as their benefits. For instance, India and Brazil are the biggest consumers of smartphones; however, the awareness of the benefits of technologies is less as compared to developed regions, such as Europe and North America. People are less likely to use virtual assistants because of the lack of knowledge about the use. As a result, Small and Medium-sized Enterprises (SMEs) in these countries are reluctant to use virtual assistants for their business processes. In the next five to six years, as the market will gain traction across the globe, an increased level of awareness is expected to be witnessed even in developing regions, which would boost the adoption of conversational AI solutions.

Opportunity: Rise in customer engagement through social media platforms

Social media platforms, such as Facebook, Twitter, Telegram, Tumblr, Skype, Kik, and WeChat, have witnessed significant adoption of conversational AI solutions over the last three to four years. The growth in the adoption of social media platforms is exceptionally high in the current scenario, and it provides high growth opportunities for the deployment of smart advisors using social media platforms. A large number of users have been found spending most of their time on social media platforms. The social presence of enterprises and customer engagement go hand-in-hand for branding as well as advertising. They help create awareness about a product via online reviews and the company’s social community. The growing use of bots by the world’s largest social media platforms has encouraged the use of conversational AI platforms to offer deployment support for chatbots and virtual agents built on these platforms over multiple social media platforms simultaneously. Users are actively engaged over these platforms through chat pop-ups by bots; thus, making it easier for companies to showcase their products or broaden their business footprint on social media. This has considerably affected the market for conversational AI, which is expected to show significant growth due to the wide-scale ecosystem of social media channels.

Challenge: Lack of accuracy in chatbots and virtual assistants

There are several conversational AI solution providers in the market that are building chatbots and virtual assistants with the help of open platforms with restricted user-specific characteristics. An API is designed for general use without encompassing any specific features. Consequently, the bots built through generalized APIs may fail to meet the expected accuracy levels. The response generated from chatbots and virtual assistants are programmed with a particular set of instructions and can only provide answers for queries that are stored in a database. The ideal conversational AI interface should deliver answers in such a way that a user is unable to recognize whether he/she is talking to a human or a virtual assistant. Companies are working toward increasing the accuracy level of chatbots and virtual assistants by integrating advanced AI capabilities within their platform offering, as well as by solving a larger number of use cases and user queries. Chatbots and virtual assistants will take some time to obtain the required accuracy, which would be at par with humans. Thus, the lack of accuracy is acting as a challenge for the growth of the conversational AI market.

By component, the services segment is expected to account for the higher market share during the forecast period

By solution, the services segment is expected to grow at a higher CAGR during the forecast period. This growth is primarily due to the wide adoption of conversational AI solutions across major verticals for offering enhanced customer support, thereby generating demand for professional and managed services across the globe. Most of the vendors in the market provide a conversational AI platform to build applications that resolve customer queries, provide advice and recommendations using NLP, and other dialog related technologies. The conversational AI platform comprises bot builder tools to build multiple chatbots and assistants for enterprises. The services segment is sub-segmented into training & consulting, system integration & testing, and support & maintenance services. Service providers for conversational AI help in implementing intelligent automation and technology for effective customer engagement.

By deployment type, the cloud deployment segment to record the higher CAGR during the forecast period

The deployment mode in the conversational AI market includes on-premises and cloud. Deployment refers to the setting-up of an IT infrastructure with hardware, operating systems, and applications that are required to manage the IT ecosystem. Conversational AI solutions can be deployed on any one deployment mode based on security, availability, and scalability. The majority of conversational AI solutions are getting deployed on the cloud as it offers advantages, such as pay-per-use, and low installation and maintenance costs. This deployment mode is expected to show high growth in the near future.

By technology, the ML and deep learning segment to record the higher CAGR  during the forecast period

The conversational AI market comprises three broad technologies, such as ML and deep learning, NLP, and ASR. Since the AI technology enables machines to perform activities as that of human beings, it has opened up enormous market opportunities across multiple application areas. One of the major advancements in AI technology has taken place in the field of deep learning, which involves using crude-simulated neurons to process data. The development in AI technology came as a requirement for different verticals, such as BFSI, healthcare and life sciences, retail and eCommerce, telecom, manufacturing, and travel and hospitality. The growth of the ML and deep learning segment is attributed to the increasing demand among enterprises to fetch critical insights from customer conversations on various platforms.

North America to account for the largest market size during the forecast period

The conversational AI market has been segmented into five regions: North America, Europe, APAC, MEA, and Latin America. Among these regions, North America is projected to hold the largest market size during the forecast period. The key factor favoring the growth of the conversational AI market in North America is the increasing demand for enhancing the customer support service to strengthen customer retention initiatives. Additionally, the rising number of players across different regions is expected further to drive the conversational AI market.

The APAC region is expected to hold the fastest growth rate during the forecast period. Moreover, the conversational AI market is expected to witness considerable developments and adoption of solutions across the APAC region during the forecast period. The European region is also considered to be the second-largest in terms of market size during the forecast period. The growing demand to reduce enterprise workloads regarding customer engagement and retention is the key factor in adopting conversational AI solutions in Europe.

Conversational AI Market by Region

Key Market Players

Microsoft (US), Google (US), AWS (US), Oracle (US), IBM (US), Baidu (China), SAP (Germany), Artificial Solutions (Spain), Conversica (US), Haptik (India), Nuance (US), Rasa (Germany), Avaamo (US), Kore.ai (US), Solvvy (US), Pypestream (US), Inbenta (US), Rulai (US), Creative Virtual (US), Saarthi.ai (India), FIS (US), AmplifyReach (India), Interactions (US), Quosphere (US), Exceed.ai (US), Cognigy (Germany), SoundHound (US), Kasisto (US), Mindsay (US), and Clinc (US).

Microsoft (US) caters to a broad customer base in the regions of the Americas, EMEA, and APAC. The company provides Azure Bot Services, Microsoft Bot Framework, Azure Cognitive Services, and LUIS QnA Maker. By combining Azure Bot Services, Microsoft Bot Framework, Azure Cognitive Services, and LUIS QnA Maker, the company provides a strong development environment for creating conversational interfaces. Users can develop conversational interfaces using Microsoft services and deploy them on websites, apps, Cortana, Microsoft Teams, Skype, Slack, and Facebook Messenger. The company also offers Microsoft BotBuilder SDK, an open-source offering that can be combined with the other Microsoft services in this market.

Scope of the Report

Report Metric

Details

Market size available for years

2016–2025

Base year considered

2019

Forecast period

2020–2025

Forecast units

Billion (USD)

Segments covered

Component (Platform and Services), Type (IVA and Chatbots), Technology (ML and Deep Learning, NLP, and ASR), Application, Deployment Mode (Cloud and On-premises), Vertical, and Region

Geographies covered

North America, Europe, APAC, MEA, and Latin America

Companies covered

Microsoft (US), Google (US), AWS (US), Oracle (US), IBM (US), Baidu (China), SAP (Germany), Artificial Solutions (Spain), Conversica (US), Haptik (India), Nuance (US), Rasa (Germany), Avaamo (US), Kore.ai (US), Solvvy (US), Pypestream (US), Inbenta (US), Rulai (US), Creative Virtual (US), Saarthi.ai (India), FIS (US), AmplifyReach (India), Interactions (US), Quosphere (US), Exceed.ai (US), Cognigy (Germany), SoundHound (US), Kasisto (US), Mindsay (US) and Clinc (US).

The research report categorizes the conversational AI market to forecast the revenues and analyze trends in each of the following subsegments:

By Component

  • Platform
  • Services
    • Training and Consulting
    • System Integration and Testing
    • Support and Maintenance          

By Type

  • IVA
  • Chatbots

By Deployment Mode

  • On-Premises     
  • Cloud   

By Technology

  • ML and Deep Learning
  • NLP       
  • ASR

By Region

  • North America
  • Europe
  • APAC
  • MEA
  • Latin America

Recent Developments

  • In June 2020, Google Cloud announced that it signed a Memorandum of Understanding (MoU) with UK Crown Commercial Service (CCS). The MoU intends to make it easier and more affordable for the UK public sector agencies to leverage the full range of Google Cloud’s services to increase innovation and deliver digital transformation.
  • In June 2020, Microsoft and SAS announced an extensive technology and go-to-market strategic partnership. The two companies will enable customers to easily run their SAS workloads in the cloud, expanding their business solutions and unlocking critical value from their digital transformation initiatives. As part of the partnership, the companies will migrate SAS’ analytical products and industry solutions onto Microsoft Azure as the preferred cloud provider for the SAS Cloud.
  • In July 2019, Microsoft and OpenAI, two companies thinking deeply about the role of AI in the world and how to build secure, trustworthy, and ethical AI to serve the public, have partnered to further extend Microsoft Azure’s capabilities in large-scale AI systems. Through this partnership, the companies will accelerate breakthroughs in AI and power OpenAI’s efforts to create artificial general intelligence (AGI). The resulting enhancements to the Azure platform will also help developers build the next generation of AI applications.
  • In June 2019, Microsoft and Oracle announced a cloud interoperability partnership enabling customers to migrate and run mission-critical enterprise workloads across Microsoft Azure and Oracle Cloud. Enterprises can now seamlessly connect Azure services, like Analytics and AI, to Oracle Cloud services, like Autonomous Database. By enabling customers to run one part of a workload within Azure and another part of the same workload within the Oracle Cloud, the partnership delivers a highly optimized, best-of-both-clouds experience. Taken together, Azure and Oracle Cloud offer customers a one-stop-shop for all the cloud services and applications they need to run their entire business.
  • In May 2019, Microsoft announced a new set of Azure AI technology aimed to help developers and data scientists apply AI to any solution. These technologies include - Azure Cognitive Services, MLOps capabilities, Automated ML advancements, and Visual machine learning interface, among others.
  • In January 2019, IBM signed a multi-year service agreement with Bank of the Philippine Islands for USD 260 million. In accordance with this agreement, IBM would provide IT infrastructure services to accelerate the digital transformation of Bank of the Philippine Islands.
  • In November 2018, Microsoft signed an agreement to acquire XOXCO, a solution provider for conversational AI and bot development. This acquisition would help Microsoft strengthen its initiative to offer accessible software tools to developers for enabling them to create and deploy conversational interfaces across platforms.

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

TABLE OF CONTENTS

1 INTRODUCTION (Page No. - 23)
    1.1 OBJECTIVES OF THE STUDY
    1.2 MARKET DEFINITION
    1.3 MARKET SCOPE
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
           1.3.3 YEARS CONSIDERED FOR THE STUDY
    1.4 CURRENCY CONSIDERED
        TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2017–2019
    1.5 STAKEHOLDERS

2 RESEARCH METHODOLOGY (Page No. - 27)
    2.1 RESEARCH DATA
        FIGURE 1 GLOBAL CONVERSATIONAL AI MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    2.1.2.1 Breakup of primary profiles
                    2.1.2.2 Key industry insights
    2.2 MARKET BREAKUP AND DATA TRIANGULATION
    2.3 MARKET SIZE ESTIMATION
        FIGURE 2 CONVERSATIONAL AI MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
    2.4 MARKET FORECAST
        TABLE 2 FACTOR ANALYSIS
    2.5 ASSUMPTIONS FOR THE STUDY
    2.6 LIMITATIONS OF THE STUDY

3 EXECUTIVE SUMMARY (Page No. - 35)
  TABLE 3 GLOBAL CONVERSATIONAL AI MARKET SIZE AND GROWTH RATE, 2019–2025 (USD MILLION, Y-O-Y %)
  FIGURE 3 MARKET SNAPSHOT, BY COMPONENT
  FIGURE 4 MARKET SNAPSHOT, BY TYPE
  FIGURE 5 MARKET SNAPSHOT, BY SERVICE
  FIGURE 6 MARKET SNAPSHOT, BY DEPLOYMENT MODE
  FIGURE 7 MARKET SNAPSHOT, BY APPLICATION
  FIGURE 8 MARKET SNAPSHOT, BY TECHNOLOGY
  FIGURE 9 MARKET SNAPSHOT, BY VERTICAL
  FIGURE 10 MARKET SNAPSHOT, BY REGION

4 PREMIUM INSIGHTS (Page No. - 41)
    4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE CONVERSATIONAL AI MARKET
        FIGURE 11 INCREASING DEMAND FOR AI-POWERED CUSTOMER SUPPORT SERVICES TO DRIVE THE MARKET GROWTH DURING THE FORECAST PERIOD
    4.2 MARKET: TOP THREE APPLICATIONS
        FIGURE 12 PERSONAL ASSISTANT SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
    4.3 MARKET, BY REGION
        FIGURE 13 NORTH AMERICA TO HOLD THE HIGHEST MARKET SHARE IN 2020
    4.4 MARKET IN NORTH AMERICA, BY SERVICE AND TECHNOLOGY
        FIGURE 14 TRAINING AND CONSULTING SERVICES, AND NATURAL LANGUAGE PROCESSING TECHNOLOGY IN NORTH AMERICA TO ACCOUNT FOR THE HIGHEST MARKET SHARES IN THE MARKET IN 2020

5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 44)
    5.1 INTRODUCTION
    5.2 MARKET DYNAMICS
        FIGURE 15 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: CONVERSATIONAL AI MARKET
           5.2.1 DRIVERS
                    5.2.1.1 Increasing demand for AI-powered customer support services
                    5.2.1.2 Omnichannel deployment and reduced chatbot development cost
                    5.2.1.3 Rising demand for AI-based chatbots to stay connected and informed during the COVID-19 pandemic
           5.2.2 RESTRAINTS
                    5.2.2.1 Lack of awareness about conversational AI solutions
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Rise in customer engagement through social media platforms
                    5.2.3.2 Integration of advanced AI capabilities to add value to existing conversational AI offerings
           5.2.4 CHALLENGES
                    5.2.4.1 Lack of accuracy in chatbots and virtual assistants
                    5.2.4.2 Maintaining business continuity during the COVID-19 pandemic
    5.3 CUMULATIVE GROWTH ANALYSIS
    5.4 ADJACENT/RELATED MARKETS SNAPSHOT
        TABLE 4 CONVERSATIONAL AI MARKET: ADJACENT/RELATED MARKETS
    5.5 USE CASES
           5.5.1 INTRODUCTION
                    5.5.1.1 Use case: Scenario 1
                    5.5.1.2 Use case: Scenario 2
                    5.5.1.3 Use case: Scenario 3
                    5.5.1.4 Use case: Scenario 4
                    5.5.1.5 Use case: Scenario 5
    5.6 REGULATORY IMPLICATIONS
           5.6.1 INTRODUCTION
           5.6.2 GENERAL DATA PROTECTION REGULATION
           5.6.3 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT
           5.6.4 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD
           5.6.5 FINANCIAL INDUSTRY REGULATORY AUTHORITY
           5.6.6 SERVICE ORGANIZATIONAL CONTROL 2
           5.6.7 MARKETS IN FINANCIAL INSTRUMENTS DIRECTIVE II
    5.7 CONVERSATIONAL AI, ARCHITECTURE
        FIGURE 16 CONVERSATIONAL AI, HIGH LEVEL ARCHITECTURE OVERVIEW

6 CONVERSATIONAL AI MARKET: COVID-19 IMPACT (Page No. - 54)
  FIGURE 17 MARKET TO WITNESS A MINOR DECLINE BETWEEN 2020 AND 2021

7 CONVERSATIONAL AI MARKET, BY COMPONENT (Page No. - 55)
    7.1 INTRODUCTION
           7.1.1 COVID-19 IMPACT ON MARKET, BY COMPONENT
           7.1.2 COMPONENT: MARKET DRIVERS
                 FIGURE 18 SERVICES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
                 TABLE 5 MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
                 TABLE 6 MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
    7.2 PLATFORM
    7.3 SERVICES
        FIGURE 19 SYSTEM INTEGRATION AND TESTING SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
        TABLE 7 MARKET SIZE, BY SERVICE, 2016–2019 (USD MILLION)
        TABLE 8 MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
           7.3.1 TRAINING AND CONSULTING
           7.3.2 SYSTEM INTEGRATION AND DEPLOYMENT
           7.3.3 SUPPORT AND MAINTENANCE

8 CONVERSATIONAL AI MARKET, BY TYPE (Page No. - 61)
    8.1 INTRODUCTION
           8.1.1 COVID-19 IMPACT ON MARKET, BY TYPE
           8.1.2 TYPE: MARKET DRIVERS
                 FIGURE 20 INTELLIGENT VIRTUAL ASSISTANTS SEGMENT TO REGISTER A HIGHER CAGR DURING THE FORECAST PERIOD
                 TABLE 9 MARKET SIZE, BY TYPE, 2016–2019 (USD MILLION)
                 TABLE 10 MARKET SIZE, BY TYPE, 2019–2025 (USD MILLION)
    8.2 INTELLIGENT VIRTUAL ASSISTANTS
    8.3 CHATBOTS

9 CONVERSATIONAL AI MARKET, BY TECHNOLOGY (Page No. - 65)
    9.1 INTRODUCTION
           9.1.1 COVID-19 IMPACT ON MARKET, BY TECHNOLOGY
           9.1.2 TECHNOLOGY: MARKET DRIVERS
                 FIGURE 21 MACHINE LEARNING AND DEEP LEARNING SEGMENT TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD
                 TABLE 11 MARKET SIZE, BY TECHNOLOGY, 2016–2019 (USD MILLION)
                 TABLE 12 MARKET SIZE, BY TECHNOLOGY, 2019–2025 (USD MILLION)
    9.2 MACHINE LEARNING AND DEEP LEARNING
    9.3 NATURAL LANGUAGE PROCESSING
    9.4 AUTOMATED SPEECH RECOGNITION

10 CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE (Page No. - 70)
     10.1 INTRODUCTION
             10.1.1 COVID-19 IMPACT ON MARKET, BY DEPLOYMENT MODE
             10.1.2 DEPLOYMENT MODE: MARKET DRIVERS
                    FIGURE 22 CLOUD SEGMENT TO REGISTER A HIGHER CAGR DURING THE FORECAST PERIOD
                    TABLE 13 MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
                    TABLE 14 MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
     10.2 CLOUD
     10.3 ON-PREMISES

11 CONVERSATIONAL AI MARKET, BY APPLICATION (Page No. - 73)
     11.1 INTRODUCTION
             11.1.1 COVID-19 IMPACT ON MARKET, BY APPLICATION
             11.1.2 APPLICATION: MARKET DRIVERS
                    FIGURE 23 PERSONAL ASSISTANT SEGMENT TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD
                    TABLE 15 MARKET SIZE, BY APPLICATION, 2016–2019 (USD MILLION)
                    TABLE 16 MARKET SIZE, BY APPLICATION, 2019–2025 (USD MILLION)
     11.2 CUSTOMER SUPPORT
     11.3 PERSONAL ASSISTANT
     11.4 BRANDING AND ADVERTISEMENT
     11.5 CUSTOMER ENGAGEMENT AND RETENTION
     11.6 ONBOARDING AND EMPLOYEE ENGAGEMENT
     11.7 DATA PRIVACY AND COMPLIANCE
     11.8 OTHERS

12 CONVERSATIONAL AI MARKET, BY VERTICAL (Page No. - 79)
     12.1 INTRODUCTION
             12.1.1 COVID-19 IMPACT ON MARKET, BY VERTICAL
             12.1.2 VERTICAL: MARKET DRIVERS
                    FIGURE 24 RETAIL AND ECOMMERCE VERTICAL TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD
             12.1.3 MAJOR USE CASES: BY VERTICAL
                    TABLE 17 MARKET SIZE, BY VERTICAL, 2016–2019 (USD MILLION)
                    TABLE 18 MARKET SIZE, BY VERTICAL, 2019–2025 (USD MILLION)
     12.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
     12.3 RETAIL AND ECOMMERCE
     12.4 HEALTHCARE AND LIFE SCIENCES
     12.5 TRAVEL AND HOSPITALITY
     12.6 TELECOM
     12.7 MEDIA AND ENTERTAINMENT
     12.8 OTHERS

13 CONVERSATIONAL AI MARKET, BY REGION (Page No. - 87)
     13.1 INTRODUCTION
          FIGURE 25 INDIA TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD
          FIGURE 26 ASIA PACIFIC TO ACCOUNT FOR THE HIGHEST CAGR DURING THE FORECAST PERIOD
          TABLE 19 MARKET SIZE, BY REGION, 2016–2019 (USD MILLION)
          TABLE 20 MARKET SIZE, BY REGION, 2019–2025(USD MILLION)
     13.2 NORTH AMERICA
             13.2.1 NORTH AMERICA: MARKET DRIVERS
             13.2.2 NORTH AMERICA: COVID-19 IMPACT
                    FIGURE 27 NORTH AMERICA: MARKET SNAPSHOT
                    TABLE 21 NORTH AMERICA: CONVERSATIONAL AI MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
                    TABLE 22 NORTH AMERICA: MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
                    TABLE 23 NORTH AMERICA: MARKET SIZE, BY TYPE, 2016–2019 (USD MILLION)
                    TABLE 24 NORTH AMERICA: MARKET SIZE, BY TYPE, 2019–2025 (USD MILLION)
                    TABLE 25 NORTH AMERICA:  MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
                    TABLE 27 NORTH AMERICA: MARKET SIZE, BY TECHNOLOGY, 2016–2019 (USD MILLION)
                    TABLE 28 NORTH AMERICA: MARKET SIZE, BY TECHNOLOGY, 2019–2025 (USD MILLION)
                    TABLE 29 NORTH AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
                    TABLE 30 NORTH AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
                    TABLE 31 NORTH AMERICA: MARKET SIZE, BY APPLICATION, 2016–2019 (USD MILLION)
                    TABLE 32 NORTH AMERICA: MARKET SIZE, BY APPLICATION, 2019–2025 (USD MILLION)
                    TABLE 33 NORTH AMERICA: MARKET SIZE, BY VERTICAL, 2016–2019 (USD MILLION)
                    TABLE 34 NORTH AMERICA: MARKET SIZE, BY VERTICAL, 2019–2025 (USD MILLION)
                    TABLE 35 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2016–2019 (USD MILLION)
                    TABLE 36 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
             13.2.3 UNITED STATES
             13.2.4 CANADA
     13.3 EUROPE
             13.3.1 EUROPE: CONVERSATIONAL AI MARKET DRIVERS
             13.3.2 EUROPE: COVID-19 IMPACT
                    TABLE 37 EUROPE: MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
                    TABLE 38 EUROPE: MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
                    TABLE 39 EUROPE: MARKET SIZE, BY TYPE, 2016–2019 (USD MILLION)
                    TABLE 40 EUROPE: MARKET SIZE, BY TYPE, 2019–2025 (USD MILLION)
                    TABLE 41 EUROPE: MARKET SIZE, BY SERVICE, 2016–2019 (USD MILLION)
                    TABLE 42 EUROPE: MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
                    TABLE 43 EUROPE: MARKET SIZE, BY TECHNOLOGY, 2016–2019 (USD MILLION)
                    TABLE 44 EUROPE: MARKET SIZE, BY TECHNOLOGY, 2019–2025 (USD MILLION)
                    TABLE 45 EUROPE: MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
                    TABLE 46 EUROPE: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
                    TABLE 47 EUROPE: MARKET SIZE, BY APPLICATION, 2016–2019 (USD MILLION)
                    TABLE 48 EUROPE: MARKET SIZE, BY APPLICATION, 2019–2025 (USD MILLION)
                    TABLE 49 EUROPE: MARKET SIZE, BY VERTICAL, 2016–2019 (USD MILLION)
                    TABLE 50 EUROPE: MARKET SIZE, BY VERTICAL, 2019–2025 (USD MILLION)
                    TABLE 51 EUROPE: MARKET SIZE, BY VERTICAL, 2016–2019 (USD MILLION)
                    TABLE 52 EUROPE: MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
             13.3.3 UNITED KINGDOM
             13.3.4 GERMANY
             13.3.5 FRANCE
             13.3.6 REST OF EUROPE
     13.4 ASIA PACIFIC
             13.4.1 ASIA PACIFIC: CONVERSATIONAL AI MARKET DRIVERS
             13.4.2 ASIA PACIFIC: COVID-19 IMPACT
                    FIGURE 28 ASIA PACIFIC: MARKET SNAPSHOT
                    TABLE 53 ASIA PACIFIC: MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
                    TABLE 54 ASIA PACIFIC: MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
                    TABLE 55 ASIA PACIFIC: MARKET SIZE, BY TYPE, 2016–2019 (USD MILLION)
                    TABLE 56 ASIA PACIFIC: MARKET SIZE, BY TYPE, 2019–2025 (USD MILLION)
                    TABLE 57 ASIA PACIFIC: MARKET SIZE, BY SERVICE, 2016–2019 (USD MILLION)
                    TABLE 58 ASIA PACIFIC: MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
                    TABLE 59 ASIA PACIFIC: MARKET SIZE, BY TECHNOLOGY, 2016–2019 (USD MILLION)
                    TABLE 60 ASIA PACIFIC: MARKET SIZE, BY TECHNOLOGY, 2019–2025 (USD MILLION)
                    TABLE 61 ASIA PACIFIC: MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
                    TABLE 62 ASIA PACIFIC: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
                    TABLE 63 ASIA PACIFIC: MARKET SIZE, BY APPLICATION, 2016–2019 (USD MILLION)
                    TABLE 64 ASIA PACIFIC: MARKET SIZE, BY APPLICATION, 2019–2025 (USD MILLION)
                    TABLE 65 ASIA PACIFIC: MARKET SIZE, BY VERTICAL, 2016–2019 (USD MILLION)
                    TABLE 66 ASIA PACIFIC: MARKET SIZE, BY VERTICAL, 2019–2025 (USD MILLION)
                    TABLE 67 ASIA PACIFIC: MARKET SIZE, BY COUNTRY, 2016–2019 (USD MILLION)
                    TABLE 68 ASIA PACIFIC: MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
             13.4.3 CHINA
             13.4.4 JAPAN
             13.4.5 INDIA
             13.4.6 REST OF ASIA PACIFIC
     13.5 MIDDLE EAST AND AFRICA
             13.5.1 MIDDLE EAST AND AFRICA: CONVERSATIONAL AI MARKET DRIVERS
             13.5.2 MIDDLE EAST AND AFRICA: COVID-19 IMPACT
                    TABLE 69 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
                    TABLE 70 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
                    TABLE 71 MIDDLE EAST AND AFRICA: MARKET SIZE, BY TYPE, 2016–2019 (USD MILLION)
                    TABLE 72 MIDDLE EAST AND AFRICA: MARKET SIZE, BY TYPE, 2019–2025 (USD MILLION)
                    TABLE 73 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SERVICE, 2016–2019 (USD MILLION)
                    TABLE 74 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
                    TABLE 75 MIDDLE EAST AND AFRICA: MARKET SIZE, BY TECHNOLOGY, 2016–2019 (USD MILLION)
                    TABLE 76 MIDDLE EAST AND AFRICA: MARKET SIZE, BY TECHNOLOGY, 2019–2025 (USD MILLION)
                    TABLE 77 MIDDLE EAST AND AFRICA: MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
                    TABLE 78 MIDDLE EAST AND AFRICA: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
                    TABLE 79 MIDDLE EAST AND AFRICA: MARKET SIZE, BY APPLICATION, 2016–2019 (USD MILLION)
                    TABLE 80 MIDDLE EAST AND AFRICA: MARKET SIZE, BY APPLICATION, 2019–2025 (USD MILLION)
                    TABLE 81 MIDDLE EAST AND AFRICA: MARKET SIZE, BY VERTICAL, 2016–2019 (USD MILLION)
                    TABLE 82 MIDDLE EAST AND AFRICA: MARKET SIZE, BY VERTICAL, 2019–2025 (USD MILLION)
                    TABLE 83 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COUNTRY, 2016–2019 (USD MILLION)
                    TABLE 84 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
             13.5.3 ISRAEL
             13.5.4 UNITED ARAB EMIRATES
             13.5.5 REST OF MIDDLE EAST AND AFRICA
     13.6 LATIN AMERICA
             13.6.1 LATIN AMERICA: CONVERSATIONAL AI MARKET DRIVERS
             13.6.2 LATIN AMERICA: COVID-19 IMPACT
                    TABLE 85 LATIN AMERICA: MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
                    TABLE 86 LATIN AMERICA: MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
                    TABLE 87 LATIN AMERICA: MARKET SIZE, BY TYPE, 2016–2019 (USD MILLION)
                    TABLE 88 LATIN AMERICA: MARKET SIZE, BY TYPE, 2019–2025 (USD MILLION)
                    TABLE 89 LATIN AMERICA: MARKET SIZE, BY SERVICE, 2016–2019 (USD MILLION)
                    TABLE 90 LATIN AMERICA: MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
                    TABLE 91 LATIN AMERICA: MARKET SIZE, BY TECHNOLOGY, 2016–2019 (USD MILLION)
                    TABLE 92 LATIN AMERICA: MARKET SIZE, BY TECHNOLOGY, 2019–2025 (USD MILLION)
                    TABLE 93 LATIN AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
                    TABLE 94 LATIN AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
                    TABLE 95 LATIN AMERICA: MARKET SIZE, BY APPLICATION, 2016–2019 (USD MILLION)
                    TABLE 96 LATIN AMERICA: MARKET SIZE, BY APPLICATION, 2019–2025 (USD MILLION)
                    TABLE 97 LATIN AMERICA: MARKET SIZE, BY VERTICAL, 2016–2019 (USD MILLION)
                    TABLE 98 LATIN AMERICA: MARKET SIZE, BY VERTICAL, 2019–2025 (USD MILLION)
                    TABLE 99 LATIN AMERICA: MARKET SIZE, BY COUNTRY, 2016–2019 (USD MILLION)
                    TABLE 100 LATIN AMERICA: MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
             13.6.3 BRAZIL
             13.6.4 MEXICO
             13.6.5 REST OF LATIN AMERICA

14 COMPETITIVE LANDSCAPE (Page No. - 131)
     14.1 COMPETITIVE LEADERSHIP MAPPING
             14.1.1 VISIONARY LEADERS
             14.1.2 INNOVATORS
             14.1.3 DYNAMIC DIFFERENTIATORS
             14.1.4 EMERGING COMPANIES
                    FIGURE 29 GLOBAL CONVERSATIONAL AI MARKET (GLOBAL), COMPETITIVE LEADERSHIP MAPPING, 2018
     14.2 STRENGTH OF PRODUCT PORTFOLIO
          FIGURE 30 PRODUCT PORTFOLIO ANALYSIS OF TOP PLAYERS IN THE MARKET
     14.3 BUSINESS STRATEGY EXCELLENCE
          FIGURE 31 BUSINESS STRATEGY EXCELLENCE OF TOP PLAYERS IN THE MARKET
     14.4 MARKET RANKING ANALYSIS, BY COMPANY
          FIGURE 32 KEY PLAYERS OF THE MARKET, 2018

15 COMPANY PROFILES (Page No. - 136)
(Business Overview, Products, Solutions, & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
     15.1 GOOGLE
          FIGURE 33 GOOGLE: COMPANY SNAPSHOT
          FIGURE 34 GOOGLE: SWOT ANALYSIS
     15.2 MICROSOFT
          FIGURE 35 MICROSOFT: COMPANY SNAPSHOT
          FIGURE 36 MICROSOFT: SWOT ANALYSIS
     15.3 AWS
          FIGURE 37 AWS: COMPANY SNAPSHOT
          FIGURE 38 AWS: SWOT ANALYSIS
     15.4 IBM
          FIGURE 39 IBM: COMPANY SNAPSHOT
          FIGURE 40 IBM: SWOT ANALYSIS
     15.5 ORACLE
          FIGURE 41 ORACLE: COMPANY SNAPSHOT
          FIGURE 42 ORACLE: SWOT ANALYSIS
     15.6 NUANCE
          FIGURE 43 NUANCE: COMPANY SNAPSHOT
     15.7 BAIDU
          FIGURE 44 BAIDU: COMPANY SNAPSHOT
     15.8 SAP
          FIGURE 45 SAP: COMPANY SNAPSHOT
     15.9 ARTIFICIAL SOLUTIONS
     15.10 KORE.AI
     15.11 AVAAMO
     15.12 CONVERSICA
     15.13 HAPTIK
     15.14 RASA
     15.15 SOLVVY
     15.16 PYPESTREAM
     15.17 INBENTA
     15.18 RULAI
     15.19 CREATIVE VIRTUAL
     15.20 SAARTHI.AI
     15.21 FIS
     15.22 AMPLIFYREACH
     15.23 INTERACTIONS
     15.24 QUOSPHERE
     15.25 EXCEED.AI
     15.26 COGNIGY
     15.27 SOUNDHOUND INC.
     15.28 KASISTO
     15.29 MINDSAY
     15.30 CLINC

*Details on Business Overview, Products, Solutions & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.

16 ADJACENT AND RELATED MARKETS (Page No. - 182)
     16.1 INTRODUCTION
     16.2 CHATBOT MARKET
             16.2.1 INTRODUCTION
                    FIGURE 46 SOLUTIONS SEGMENT TO ACCOUNT FOR A LARGER MARKET SIZE IN 2019
                    TABLE 101 CHATBOT MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
                    TABLE 102 SOLUTIONS: CHATBOT MARKET SIZE, BY TYPE, 2017–2024 (USD MILLION)
                    TABLE 103 SERVICES: CHATBOT MARKET SIZE, BY TYPE, 2017–2024 (USD MILLION)
                    TABLE 104 CHATBOT MARKET SIZE, BY TECHNOLOGY, 2017–2024 (USD MILLION)
                    TABLE 105 CHATBOT MARKET SIZE, BY DEPLOYMENT MODEL, 2017-2024 (MILLION)
                    TABLE 106 ON-PREMISES: CHATBOT MARKET SIZE, BY REGION, 2017-2024 (MILLION)
                    TABLE 107 CLOUD: CHATBOT MARKET SIZE, BY REGION, 2017-2024 (MILLION)
                    TABLE 108 CHATBOT MARKET SIZE, BY USAGE, 2017–2024 (USD MILLION)
                    TABLE 109 WEBSITES: CHATBOT MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
                    TABLE 110 CONTACT CENTERS: CHATBOT MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
                    TABLE 111 SOCIAL MEDIA: CHATBOT MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
                    TABLE 112 MOBILE PLATFORM: CHATBOT MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
                    TABLE 113 CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 114 LARGE ENTERPRISES: CHATBOT MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
                    TABLE 115 SMALL AND MEDIUM-SIZED ENTERPRISES: CHATBOT MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
                    TABLE 116 CHATBOT MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
                    TABLE 117 NORTH AMERICA: CHATBOT MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
                    TABLE 118 NORTH AMERICA: CHATBOT MARKET SIZE, BY SOLUTION, 2017–2024 (USD MILLION)
                    TABLE 119 NORTH AMERICA: CHATBOT MARKET SIZE, BY SERVICE, 2017–2024 (USD MILLION)
                    TABLE 120 NORTH AMERICA: CHATBOT MARKET SIZE, BY TECHNOLOGY, 2017–2024 (USD MILLION)
                    TABLE 121 NORTH AMERICA: CHATBOT MARKET SIZE, BY DEPLOYMENT MODEL, 2017–2024 (USD MILLION)
                    TABLE 122 NORTH AMERICA: CHATBOT MARKET SIZE, BY USAGE, 2017–2024 (USD MILLION)
                    TABLE 123 NORTH AMERICA: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 124 NORTH AMERICA: CHATBOT MARKET SIZE, BY COUNTRY, 2017–2024 (USD MILLION)
                    TABLE 125 UNITED STATES: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 126 CANADA: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 127 EUROPE: CHATBOT MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
                    TABLE 128 EUROPE: CHATBOT MARKET SIZE, BY SOLUTION, 2017–2024 (USD MILLION)
                    TABLE 129 EUROPE: CHATBOT MARKET SIZE, BY SERVICE, 2017–2024 (USD MILLION)
                    TABLE 130 EUROPE: CHATBOT MARKET SIZE, BY TECHNOLOGY, 2017–2024 (USD MILLION)
                    TABLE 131 EUROPE : CHATBOT MARKET SIZE, BY DEPLOYMENT MODEL, 2017–2024 (USD MILLION)
                    TABLE 132 EUROPE: CHATBOT MARKET SIZE, BY USAGE, 2017–2024 (USD MILLION)
                    TABLE 133 EUROPE: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 134 EUROPE: CHATBOT MARKET SIZE, BY COUNTRY, 2017–2024 (USD MILLION)
                    TABLE 135 UNITED KINGDOM: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 136 GERMANY: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 137 FRANCE: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 138 REST OF EUROPE: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 139 ASIA PACIFIC: CHATBOT MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
                    TABLE 140 ASIA PACIFIC: CHATBOT MARKET SIZE, BY SOLUTION, 2017–2024 (USD MILLION)
                    TABLE 141 ASIA PACIFIC: CHATBOT MARKET SIZE, BY SERVICE, 2017–2024 (USD MILLION)
                    TABLE 142 ASIA PACIFIC: CHATBOT MARKET SIZE, BY TECHNOLOGY, 2017–2024 (USD MILLION)
                    TABLE 143 ASIA PACIFIC : CHATBOT MARKET SIZE, BY DEPLOYMENT MODEL, 2017–2024 (USD MILLION)
                    TABLE 144 ASIA PACIFIC: CHATBOT MARKET SIZE, BY USAGE, 2017–2024 (USD MILLION)
                    TABLE 145 ASIA PACIFIC: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 146 ASIA PACIFIC: CHATBOT MARKET SIZE, BY COUNTRY, 2017–2024 (USD MILLION)
                    TABLE 147 CHINA: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 148 JAPAN: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 149 INDIA: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 150 SINGAPORE: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 151 REST OF ASIA PACIFIC: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 152 MIDDLE EAST AND AFRICA: CHATBOT MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
                    TABLE 153 MIDDLE EAST AND AFRICA: CHATBOT MARKET SIZE, BY SOLUTION, 2017–2024 (USD MILLION)
                    TABLE 154 MIDDLE EAST AND AFRICA: CHATBOT MARKET SIZE, BY SERVICE, 2017–2024 (USD MILLION)
                    TABLE 155 MIDDLE EAST AND AFRICA: CHATBOT MARKET SIZE, BY TECHNOLOGY, 2017–2024 (USD MILLION)
                    TABLE 156 MIDDLE EAST AND AFRICA : CHATBOT MARKET SIZE, BY DEPLOYMENT MODEL, 2017–2024 (USD MILLION)
                    TABLE 157 MIDDLE EAST AND AFRICA: CHATBOT MARKET SIZE, BY USAGE, 2017–2024 (USD MILLION)
                    TABLE 158 MIDDLE EAST AND AFRICA: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 159 MIDDLE EAST AND AFRICA: CHATBOT MARKET SIZE, BY COUNTRY, 2017–2024 (USD MILLION)
                    TABLE 160 MIDDLE EAST: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 161 AFRICA: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 162 LATIN AMERICA: CHATBOT MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
                    TABLE 163 LATIN AMERICA: CHATBOT MARKET SIZE, BY SOLUTION, 2017–2024 (USD MILLION)
                    TABLE 164 LATIN AMERICA: CHATBOT MARKET SIZE, BY SERVICE, 2017–2024 (USD MILLION)
                    TABLE 165 LATIN AMERICA: CHATBOT MARKET SIZE, BY TECHNOLOGY, 2017–2024 (USD MILLION)
                    TABLE 166 LATIN AMERICA : CHATBOT MARKET SIZE, BY DEPLOYMENT MODEL, 2017–2024 (USD MILLION)
                    TABLE 167 LATIN AMERICA : CHATBOT MARKET SIZE, BY USAGE, 2017–2024 (USD MILLION)
                    TABLE 168 LATIN AMERICA: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 169 LATIN AMERICA: CHATBOT MARKET SIZE, BY COUNTRY, 2017–2024 (USD MILLION)
                    TABLE 170 BRAZIL: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 171 MEXICO: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
                    TABLE 172 REST OF LATIN AMERICA: CHATBOT MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
     16.3 ARTIFICIAL INTELLIGENCE PLATFORM MARKET
             16.3.1 INTRODUCTION
                    TABLE 173 ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
                    TABLE 174 COMPONENT: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY TOOL, 2015–2022 (USD MILLION)
                    TABLE 175 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY DEPLOYMENT MODE, 2015–2022 (USD MILLION)
                    TABLE 176 MACHINE LEARNING MARKET SIZE, BY DEPLOYMENT MODE, 2015–2022 (USD MILLION)
                    TABLE 177 ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
                    TABLE 178 MANAGED SERVICES MARKET SIZE, BY DEPLOYMENT MODE, 2015–2022 (USD MILLION)
                    TABLE 179 PROFESSIONAL SERVICES MARKET SIZE, BY DEPLOYMENT MODE, 2015–2022 (USD MILLION)
                    TABLE 180 ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY DEPLOYMENT MODE, 2015–2022 (USD MILLION)
                    TABLE 181 ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY APPLICATION, 2015–2022 (USD MILLION)
                    TABLE 182 FORECASTS AND PRESCRIPTIVE MODELS: ARTIFICIAL INTELLIGENCE PLATFORM APPLICATION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
                    TABLE 183 CHATBOTS: ARTIFICIAL INTELLIGENCE PLATFORM APPLICATION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
                    TABLE 184 SPEECH RECOGNITION: ARTIFICIAL INTELLIGENCE PLATFORM APPLICATION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
                    TABLE 185 TEXT RECOGNITION: ARTIFICIAL INTELLIGENCE PLATFORM APPLICATION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
                    TABLE 186 OTHERS: ARTIFICIAL INTELLIGENCE PLATFORM APPLICATION MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
                    TABLE 187 ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY END-USER, 2015–2022 (USD MILLION)
                    TABLE 188 ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY END-USER, 2015–2022 (USD MILLION)
                    TABLE 189 MANUFACTURING: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
                    TABLE 190 MANUFACTURING: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
                    TABLE 191 HEALTHCARE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
                    TABLE 192 HEALTHCARE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
                    TABLE 193 BANKING, FINANCIAL SERVICES, AND INSURANCE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
                    TABLE 194 BANKING, FINANCIAL SERVICES, AND INSURANCE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
                    TABLE 195 RESEARCH AND ACADEMIA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
                    TABLE 196 RESEARCH AND ACADEMIA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
                    TABLE 197 TRANSPORTATION: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
                    TABLE 198 TRANSPORTATION: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
                    TABLE 199 RETAIL AND ECOMMERCE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
                    TABLE 200 RETAIL AND ECOMMERCE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
                    TABLE 201 OTHERS: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
                    TABLE 202 OTHERS: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
                    TABLE 203 ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY REGION, 2015–2022 (USD MILLION)
                    TABLE 204 NORTH AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
                    TABLE 205 NORTH AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY TOOL, 2015–2022 (USD MILLION)
                    TABLE 206 NORTH AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
                    TABLE 207 NORTH AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY DEPLOYMENT MODE, 2015–2022 (USD MILLION)
                    TABLE 208 NORTH AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY APPLICATION, 2015–2022 (USD MILLION)
                    TABLE 209 NORTH AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY END-USER, 2015–2022 (USD MILLION)
                    TABLE 210 EUROPE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
                    TABLE 211 EUROPE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY TOOL, 2015–2022 (USD MILLION)
                    TABLE 212 EUROPE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
                    TABLE 213 EUROPE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY DEPLOYMENT MODE, 2015–2022 (USD MILLION)
                    TABLE 214 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
                    TABLE 215 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY TOOL, 2015–2022 (USD MILLION)
                    TABLE 216 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
                    TABLE 217 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY DEPLOYMENT MODE, 2015–2022 (USD MILLION)
                    TABLE 218 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY APPLICATION, 2015–2022 (USD MILLION)
                    TABLE 219 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
                    TABLE 220 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY TOOL, 2015–2022 (USD MILLION)
                    TABLE 221 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
                    TABLE 222 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY DEPLOYMENT MODE, 2015–2022 (USD MILLION)
                    TABLE 223 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY APPLICATION, 2015–2022 (USD MILLION)
                    TABLE 224 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY END-USER, 2015–2022 (USD MILLION)
                    TABLE 225 LATIN AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY COMPONENT, 2015–2022 (USD MILLION)
                    TABLE 226 LATIN AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY TOOL, 2015–2022 (USD MILLION)
                    TABLE 227 LATIN AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION)
                    TABLE 228 LATIN AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY DEPLOYMENT MODE, 2015–2022 (USD MILLION)
                    TABLE 229 LATIN AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY APPLICATION, 2015–2022 (USD MILLION)
                    TABLE 230 LATIN AMERICA: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY END-USER, 2015–2022 (USD MILLION)
                    TABLE 231 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY END-USER, 2015–2022 (USD MILLION)
                    TABLE 232 EUROPE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY APPLICATION, 2015–2022 (USD MILLION)
                    TABLE 233 EUROPE: ARTIFICIAL INTELLIGENCE PLATFORM MARKET SIZE, BY END-USER, 2015–2022 (USD MILLION)

17 APPENDIX (Page No. - 231)
     17.1 INDUSTRY EXPERTS
     17.2 DISCUSSION GUIDE
     17.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
     17.4 AVAILABLE CUSTOMIZATIONS
     17.5 RELATED REPORTS
     17.6 AUTHOR DETAILS

The study involved four major activities in estimating the current market size for the conversational AI market. Exhaustive secondary research was done to collect information on the market, the peer market, and the parent market. The next step was to validate these findings, assumptions, and sizing with the industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the complete market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the TSA market.

Secondary Research

In the secondary research process, various secondary sources, such as D&B Hoovers, Bloomberg BusinessWeek, and Factiva, have been referred to identify and collect information for this study. These secondary sources included annual reports; press releases and investor presentations of companies; whitepapers, certified publications, and articles by recognized authors; gold standard and silver standard websites; regulatory bodies; and databases.

Primary Research

Various primary sources from both the supply and demand sides of the conversational AI market ecosystem were interviewed to obtain qualitative and quantitative information for the study. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various vendors that provide conversational AI solutions and services operating in the targeted regions. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The following is the breakup of the primary respondents’ profiles:

Conversational AI Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

For making market estimates and forecasting the conversational AI market and the other dependent submarkets, the top-down and bottom-up approaches were used. The bottom-up procedure was used to arrive at the overall market size of the global TSA market using the revenues and offerings of the key companies in the market. The research methodology used to estimate the market size includes the following:

  • The key players in the market were identified through extensive secondary research.
  • The market size, in terms of value, was determined through primary and secondary research processes.
  • All percentage shares, splits, and breakups were determined using secondary sources and verified through primary sources.

Data Triangulation

With data triangulation and validation through primary interviews, the exact value of the overall parent market size was determined and confirmed using this study. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Report Objectives

  • To define, describe, and forecast the conversational Artificial Intelligence (AI) market by component (platform and services), service (training and consulting, system integration and testing, and support and maintenance), type, technology, deployment mode, application, vertical, and region
  • To provide detailed information regarding the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the conversational AI market
  • To analyze micromarkets1 with respect to the individual growth trends, prospects, and contributions to the total market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the conversational AI market
  • To forecast the market size of the market segments with respect to five major regions: North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
  • To profile the key players of the conversational AI market and comprehensively analyze their market size and core competencies2 in the market
  • To track and analyze competitive developments, such as new product launches; mergers and acquisitions; and partnerships, agreements, and collaborations, in the global conversational AI market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific requirements. The following customization options are available for the report:

Product Analysis

  • Product matrix provides detailed product information and comparisons

Geographic Analysis

  • Further breakup of the North American conversational AI market
  • Further breakup of the European market
  • Further breakup of the APAC market
  • Further breakup of the MEA market
  • Further breakup of the Latin America market

Company Information

  • Detailed analysis and profiles of additional market players

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Related Technologies/Products

 

Adjacent Markets

Mar. Size
2018
CAGR 2018-23

Competitive Landscape

 
 
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Report Code
TC 6976
Published ON
Jul, 2020
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