Chatbot Market

Chatbot Market by Offering, Bot Communication (Text, Audio, & Video), Type, Business Function (Sales & Marketing, Contact Centers), Channel Integration, Vertical (Retail & eCommerce, Healthcare & Life Sciences) and Region - Global Forecast to 2028

Report Code: TC 4647 May, 2023, by marketsandmarkets.com

Updated on : Jan 29, 2024

Chatbot Market Size, Share & Trends Report

The global chatbot market size was valued at $4.7 billion in 2022. The market is projected to grow from $5.4 billion in 2023 to $15.5 billion in 2028, exhibiting a CAGR of 23.3 % during the forecast period.

The rising advent of generative models in chatbots to gain an advantage in the coming years as generative models can improve chatbots’ natural language processing (NLP) capabilities, enabling them to understand better and respond to human language. Moreover, Generative models, specifically neural network-based language models like GPT-4 can help chatbots to better understand the preferences and behaviors of individual users, enabling them to provide more personalized recommendations and support.

Chatbot Market

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Chatbot Market

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Market Dynamics

Driver: Rising usage of generative models in chatbots

AI has witnessed significant advancements currently remarkably around generative AI and LLMs. These models, powered by deep learning techniques, are designed to generate new content based on patterns found in large datasets. For instance, ChatGPT, OpenAI’s chatbot based on GPT-3.5 large language model has amazed users with its ability to generate human-like text that understands every context. But beyond text-to-text, generative AI also includes text-to-image, text-to-video, text-to-3D, text-to-music, and others. Generative AI can transform businesses by allowing companies to create innovative ideas for products, services, and solutions more quickly and efficiently than ever before. Generative AI can authorize enterprises with the data-driven information essential for intelligent decision-making, truncated costs associated with development or marketing product cycles, and quickly identify alternative solutions to complex problems. With generative AI and its predictive capabilities in chatbots, businesses can harness the power of algorithms to make decisions faster and more accurately than before. By leveraging generative AI, companies can explore new possibilities and experiment with different ideas in a fraction of the time.

Restraint: Inability to recognize customer intent and respond effectively

Chatbot solution providers in the market are working toward developing a chatbot to meet user requirements. Software tools, such as APIs, are specifically developed to perform the generic use of chatbot solutions without integrating any specific functionality that fails to meet the specific user requirement and achieve the exact purpose of building a chatbot. Chatbots fed with specific data can assist customers only if posed with questions they are programmed to answer. Hence, if a customer poses a question that the chatbot has no information about, it will fail to understand the customer’s intent and demonstrate an inability to solve the posed query. The inability to recognize customer intent would be a restraining factor for market growth.

Opportunity: Initiatives toward development of self-learning chatbots to deliver human-like conversational experience

Chatbots can revise to changing conditions in the environment and  learn from their actions, experiences, and decisions. These chatbots can analyze data in minimal time and help customers find the exact information they are looking for conveniently by offering support in multiple languages. Self-learning bots, with data-driven behavior, are powered by NLP technology and self-learning capability (supervised ML) and can enable the delivery of more human-like and natural communication. They can also learn from their mistakes. Various plans are being undertaken for the development of self-learning chatbots. Self-learning chatbots can provide more personalized and relevant responses to users, improving the overall customer experience. As the chatbot continues to learn from user interactions, it can provide more accurate and contextually relevant information, leading to higher customer satisfaction.

Challenge: Complex and time-consuming setup and maintenance

A chatbot can be tricky to install, and set up may require high costs. It will need about two weeks to set up a chatbot in any system and learn all its functionalities. Chatbots also need frequent optimization and maintenance to work properly. Whenever there is a change in anything at the company, users must reflect that change in their bot’s answers to clients. Users should also frequently look through the chats to see what improvements they should implement to their bot. Setting up and maintaining chatbot solutions often requires technical expertise, including knowledge of programming languages, natural language processing (NLP), and machine learning (ML). This can be a barrier for businesses without in-house technical resources or budget to hire outside experts. In some industries, such as healthcare and finance, chatbots must comply with strict regulatory requirements. This can add additional complexity and cost to the set up and maintenance of chatbot solutions.

By bot communication, Audio/Voice to register at the highest CAGR during the forecast period

By bot communication, the chatbot market is segmented into text ,audio /voice and video. Audio /voice segment to register at the highest CAGR during the forecast period. Audio/voice bot, also known as a voice assistant or voicebot, is a computer program designed to simulate a conversation with human users through spoken language instead of text. Audio/voice bots use speech recognition and NLP techniques to understand user input and provide appropriate responses conversationally. These bots can be accessed through voice-enabled devices, such as smart speakers or virtual assistants on smartphones. Audio/voice bots can perform various tasks, from playing music and setting reminders to providing weather forecasts and answering questions. They can be useful for individuals who prefer hands-free and eyes-free interaction with technology, as well as for businesses looking to improve their customer service or sales through voice-based interactions.

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

North America is expected to have the largest market share in the insight engine market. The major countries covered in North America are the US and Canada. The North American region, the primary adopter of AI technology, is the major revenue-generating region in the global chatbot market. North America secures the major share of the global chatbot market owing to the highest adoption of emerging technologies, such as natural language processing, voice recognition techniques, and chatbots. These factors are also responsible for adopting chatbot solutions across the region. Moreover, various industry verticals, such as IT and ITeS, telecom, healthcare, media and entertainment, retail, and BFSI, are adopting chatbot tools to resolve customers’ queries quickly.

Chatbot Market Size, and Share

Key Market Players

The chatbot market vendors have implemented various types of organic and inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. Key players operating in the chatbot market include Google (US), Microsoft (US), IBM (US), AWS (US), Baidu (China), Oracle (US), SAP (Germany), OpenAI (US), Salesforce (US), Meta (US), Artificial Solutions (Sweden), ServiceNow (US), [24]7.ai (US), Kore.ai (US), Conversica (US), Inbenta (US), Creative Virtual (US), Avaamo (US), Haptik (India), Solvvy (US), Gupshup (US), Aivo (US), Personetics (US), LivePerson (US), Freshworks (India), Engati (US), Botsify (Pakistan), Yellow.ai (US), Drift (US), Intercom (US), Chatfuel (US), Landbot (Spain), Pandorabots (US), Customers.ai (US), Rasa (Germany), and BotsCrew (UK).

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Scope of the Report

Report Metrics

Details

Market value in 2028

USD 15.5 Billion

Market value in 2023

USD 5.4 Billion

Market Growth Rate

23.3% CAGR

Largest Market

North America

Market size available for years

2017–2028

Base year considered

2022

Chatbot Market Drivers

  • Advancements in technology coupled with rising customer demand for self-service operations
  • Growth in need for 24×7 customer support at lower operational costs
  • Increase in focus on customer engagement through various channels
  • Rising usage of generative models in chatbots

Chatbot Market Opportunities

  • Initiatives toward development of self-learning chatbots to deliver human-like conversational experience
  • Rise in demand for AI-based chatbots to deliver enhanced customer experience
  • Integration of sentiment analysis with chatbots for meaningful customer insights

Segments covered

By Offering, type, business function, bot communication, channel integration, vertical, and region

Geographies covered

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

Companies covered

Google (US), Microsoft (US), IBM (US), AWS (US), Baidu (China), Oracle (US), SAP (Germany), OpenAI (US), Salesforce (US), Meta (US), Artificial Solutions (Sweden), ServiceNow (US), [24]7.ai (US), Kore.ai (US), Conversica (US) And many more

This research report categorizes the chatbot market based on offering, type, business function, bot communication, channel integration, vertical, and region

By Offering:
  • Solutions
    • Standalone
    • Web-based
    • Messaging-based
    • Other Solutions (Live chat and Videobots)
  • Services
  • Training and Consulting
  • System Integration and Implementation
  • Support and Maintenance
By Type:
  • Menu-based 
  • Linguistic-based
  • Keyword Recognition-based
  • Contextual
  • Hybrid
  • Voicebots
By Bot Communication:
  • Text
  • Audio/Voice
  • Video
By Channel Integration:
  • Email and Website
  • Mobile Apps
  • Messaging Apps
  • Telephone/ IVR
By Business Function:
  • Information Technology Service Management (ITSM)
  • Sales and Marketing
  • Contact Centers
  • Finance and Accounting
  • HR
  • Operations and Supply Chain
By Vertical:
  • Retail and eCommerce
  • Telecom
  • BFSI
  • Healthcare and Life Sciences
  • Media and Entertainment
  • Travel and Hospitality
  • IT and ITES
  • Energy and Utilities
  • Government and Defense
  • Other Verticals (Manufacturing, construction & real estate, Automotive, and education)
By Region:
  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • ANZ
    • ASEAN Countries
    • Rest of Asia Pacific
  • Middle East & Africa
    • UAE
    • Saudi Arabia
    • Israel
    • South Africa
    • Egypt
    • Rest of Middle East & Africa
  • Latin America
    • Brazil
    • Mexico
    • Argentina
    • Rest of Latin America

Recent Developments:

  • In March 2023, Baidu announced that it would finish internal testing of a ChatGPT-style project called “ERNIE Bot” in March. ERNIE, short for “Enhanced Representation through Knowledge Integration,” is a sizable language model powered by AI.
  • In March 2023, OpenAI introduced GPT-4 to scale up deep learning. GPT-4 is a sizable multimodal model that accepts image and text inputs and emits text outputs. GPT-4 performs at a human-level on academic and professional benchmarks despite being less capable than humans in many real-world scenarios.
  • In February 2022, Google launched a new Chatbot service for testers named Bard. The company is firstly making it available using LaMDA’s lightweight variant.
  • In February 2023, OpenAI introduced a chatbot called ChatGPT that can communicate with anyone, respond to follow-up inquiries, and correct tenuous assumptions.
  • In January 2023, Microsoft launch of Azure OpenAI Service. It includes cutting-edge AI models such as GPT-3.5, Codex, and DALL•E 2. The companies to build cutting-edge applications owing to the infrastructure and enterprise-grade capabilities of Microsoft Azure.   

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 34)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 MARKET SCOPE 
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
           1.3.3 YEARS CONSIDERED
    1.4 CURRENCY CONSIDERED 
    1.5 STAKEHOLDERS 
    1.6 SUMMARY OF CHANGES 
           1.6.1 IMPACT OF RECESSION
 
2 RESEARCH METHODOLOGY (Page No. - 40)
    2.1 RESEARCH DATA 
           FIGURE 1 CHATBOT MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    TABLE 1 PRIMARY INTERVIEWS
                    2.1.2.1 Breakup of primary profiles
                    2.1.2.2 Key industry insights
    2.2 MARKET BREAKUP AND DATA TRIANGULATION 
                    FIGURE 2 DATA TRIANGULATION
           2.3 MARKET SIZE ESTIMATION
                    FIGURE 3 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
                    FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY SIDE): REVENUE FROM SOLUTIONS/SERVICES OF MARKET
                    FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF MARKET
                    FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF MARKET
                    FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND SIDE): SHARE OF CHATBOT THROUGH OVERALL CHATBOT SPENDING
    2.4 MARKET FORECAST 
           TABLE 2 FACTOR ANALYSIS
    2.5 RESEARCH ASSUMPTIONS 
    2.6 LIMITATIONS 
    2.7 IMPLICATIONS OF RECESSION ON MARKET 
           TABLE 3 IMPACT OF RECESSION ON GLOBAL MARKET
 
3 EXECUTIVE SUMMARY (Page No. - 53)
    TABLE 4 GLOBAL CHATBOT MARKET SIZE AND GROWTH RATE, 2017–2022 (USD MILLION, Y-O-Y %) 
    TABLE 5 GLOBAL MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y %) 
    FIGURE 8 SOLUTIONS SEGMENT TO DOMINATE MARKET IN 2023 
    FIGURE 9 STANDALONE SOLUTION TO HOLD LARGEST MARKET SHARE IN 2023 
    FIGURE 10 PROFESSIONAL SERVICES SEGMENT TO DOMINATE MARKET IN 2023 
    FIGURE 11 SYSTEM INTEGRATION AND IMPLEMENTATION SEGMENT TO LEAD MARKET IN 2023 
    FIGURE 12 MOBILE APPS SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023 
    FIGURE 13 SOCIAL MESSENGER SEGMENT TO LEAD MARKET IN 2023 
    FIGURE 14 TEXT SEGMENT TO HOLD LARGEST MARKET SIZE IN 2023 
    FIGURE 15 MENU-BASED SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023 
    FIGURE 16 CONTACT CENTERS SEGMENT TO BE LARGEST SEGMENT IN 2023 
    FIGURE 17 CUSTOMER ENGAGEMENT AND RETENTION SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023 
    FIGURE 18 CUSTOMER SUPPORT TO BE LARGEST FINANCE AND ACCOUNTING APPLICATION SEGMENT IN 2023 
    FIGURE 19 RECRUITMENT SEGMENT AMONG HR APPLICATIONS TO DOMINATE MARKET IN 2023 
    FIGURE 20 WORKFLOW OPTIMIZATION SEGMENT TO HOLD LARGEST MARKET SIZE IN 2023 
    FIGURE 21 INCIDENT MANAGEMENT SEGMENT AMONG ITSM APPLICATIONS TO DOMINATE MARKET IN 2023 
    FIGURE 22 AGENT PERFORMANCE MANAGEMENT SEGMENT TO HOLD LARGEST MARKET SIZE IN 2023 
    FIGURE 23 HEALTHCARE AND LIFE SCIENCES VERTICAL TO GROW AT HIGHEST CAGR IN 2023 
    FIGURE 24 NORTH AMERICA TO HOLD LARGEST MARKET SHARE AND ASIA PACIFIC TO GROW AT HIGHEST CAGR IN 2023 
 
4 PREMIUM INSIGHTS (Page No. - 62)
    4.1 ATTRACTIVE OPPORTUNITIES IN CHATBOT MARKET 
           FIGURE 25 RISING USAGE OF GENERATIVE MODELS IN CHATBOTS FOR IMMERSIVE CUSTOMER EXPERIENCE TO DRIVE MARKET
    4.2 OVERVIEW OF RECESSION IN GLOBAL MARKET 
           FIGURE 26 MARKET TO WITNESS MINOR DECLINE IN Y-O-Y GROWTH IN 2023
    4.3 MARKET: TOP THREE BUSINESS FUNCTIONS 
           FIGURE 27 HR BUSINESS FUNCTION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    4.4 NORTH AMERICA: MARKET, BY OFFERING AND TOP THREE VERTICALS 
           FIGURE 28 SOLUTIONS AND RETAIL AND ECOMMERCE SEGMENTS TO HOLD LARGEST MARKET SHARES IN NORTH AMERICA IN 2023
    4.5 MARKET: BY REGION 
           FIGURE 29 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2023
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 65)
    5.1 INTRODUCTION 
    5.2 BRIEF HISTORY OF CHATBOT 
           FIGURE 30 BRIEF HISTORY OF CHATBOT
    5.3 CHATBOT MARKET: ARCHITECTURE 
           FIGURE 31 MARKET ARCHITECTURE
    5.4 MARKET DYNAMICS 
           FIGURE 32 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: MARKET
           5.4.1 DRIVERS
                    5.4.1.1 Advancements in technology coupled with rising customer demand for self-service operations
                    5.4.1.2 Growth in need for 24×7 customer support at lower operational costs
                    5.4.1.3 Increase in focus on customer engagement through various channels
                    5.4.1.4 Rising usage of generative models in chatbots
           5.4.2 RESTRAINTS
                    5.4.2.1 Inability to recognize customer intent and respond effectively
                    5.4.2.2 Accuracy concerns associated with voice authentication
           5.4.3 OPPORTUNITIES
                    5.4.3.1 Initiatives toward development of self-learning chatbots to deliver human-like conversational experience
                    5.4.3.2 Rise in demand for AI-based chatbots to deliver enhanced customer experience
                    5.4.3.3 Integration of sentiment analysis with chatbots for meaningful customer insights
           5.4.4 CHALLENGES
                    5.4.4.1 Lack of awareness about effect of chatbot technology on various applications
                    5.4.4.2 Complex and time-consuming setup and maintenance
    5.5 CASE STUDY ANALYSIS 
           5.5.1 BFSI
                    5.5.1.1 Case Study 1: BankBazaar implemented Haptik’s chatbot to increase customer engagement and enhance customer reach
                    5.5.1.2 Case Study 2: Zurich Insurance Group worked with Spixii to develop Zara chatbot for quick notifications
                    5.5.1.3 Case Study 3: SIX Payment Services Ltd. partnered with Enterprise Bot to enhance customer service
                    5.5.1.4 Case Study 4: SEB Retail Bank enhances efficiency of internal and external support processes through IPsoft’s Amelia chatbot
           5.5.2 RETAIL AND ECOMMERCE
                    5.5.2.1 Case Study 1: Kore.ai retail virtual assistants to process orders across digital channels
                    5.5.2.2 Case Study 2: Haptik helps JioMart with end-to-end shopping experience on WhatsApp
                    5.5.2.3 Case Study 3: Snaps offers personalized engagement model to Nike for increasing customer engagement via mobile channel
           5.5.3 HEALTHCARE AND LIFE SCIENCES
                    5.5.3.1 Case Study 1: Tia selected RASA to incorporate HIPAA-compliant NLU and improve efficiency
                    5.5.3.2 Case Study 2: Kore.ai healthcare chatbots can automate routine tasks
                    5.5.3.3 Case Study 3: Netmeds partnered with Haptik to build chatbot capable of handling core challenges
           5.5.4 TRANSPORTATION AND LOGISTICS
                    5.5.4.1 Case Study 1: Amtrak developed chatbot to help customers
                    5.5.4.2 Case Study 2: Ubisend offers Vanarama, a leasing chatbot solution, to enable customers to browse and handle customer queries
           5.5.5 TRAVEL AND HOSPITALITY
                    5.5.5.1 Case Study 1: Indigo boosts customer satisfaction to 87% with Yellow.ai
                    5.5.5.2 Case Study 2: OYO integrated Haptik’s Live Chat Agent tool to provide customer support and handle queries over WhatsApp
           5.5.6 TELECOM
                    5.5.6.1 Case Study 1: Elisa Estonia deployed MindTitan’s chatbot to analyze incoming chats and improve customer experience
           5.5.7 MANUFACTURING
                    5.5.7.1 Case Study 1: L’Oréal partnered with Automat to develop messaging chatbot to increase customer engagement and enhance productivity
           5.5.8 ENERGY AND UTILITIES
                    5.5.8.1 Case Study 1: ENN transitions to automated AI with IBM Watson Assistant
           5.5.9 GOVERNMENT
                    5.5.9.1 Case Study 1: The State of New Jersey and IBM Consulting helps citizens efficiently with IBM virtual agents
    5.6 SUPPLY CHAIN ANALYSIS 
           FIGURE 33 CHATBOT MARKET: SUPPLY CHAIN ANALYSIS
    5.7 PATENT ANALYSIS 
           5.7.1 METHODOLOGY
           5.7.2 DOCUMENT TYPE
                    TABLE 6 PATENTS FILED, 2020–2023
           5.7.3 INNOVATION AND PATENT APPLICATIONS
                    FIGURE 34 TOTAL NUMBER OF PATENTS GRANTED, 2020–2023
                    5.7.3.1 Top applicants
                               FIGURE 35 TOP 10 PATENT APPLICANTS, 2020–2023
    5.8 PRICING ANALYSIS 
           TABLE 7 CHATBOT MARKET: PRICING MODEL ANALYSIS, 2023
    5.9 PORTER’S FIVE FORCES ANALYSIS 
           FIGURE 36 PORTER’S FIVE FORCES ANALYSIS
           5.9.1 THREAT OF NEW ENTRANTS
           5.9.2 THREAT OF SUBSTITUTES
           5.9.3 BARGAINING POWER OF SUPPLIERS
           5.9.4 BARGAINING POWER OF BUYERS
           5.9.5 INTENSITY OF COMPETITIVE RIVALRY
    5.10 KEY CONFERENCES AND EVENTS, 2023–2024 
           TABLE 8 DETAILED LIST OF CONFERENCES AND EVENTS, 2023–2024
    5.11 KEY BENEFITS OF CHATBOT DEPLOYMENT ACROSS BUSINESSES 
           5.11.1 SCALING OPERATIONS
           5.11.2 ENHANCED CX AND EX
           5.11.3 SIGNIFICANT COST REDUCTION
           5.11.4 LEAD GENERATION
           5.11.5 PERSONALIZED RECOMMENDATIONS
    5.12 CHATBOT ROADMAP UNTIL 2030 
                    FIGURE 37 CHATBOT ROADMAP UNTIL 2030
    5.13 CHATBOT TOOLS AND FRAMEWORK 
           5.13.1 DIALOGFLOW BY GOOGLE
           5.13.2 AMAZON LEX
           5.13.3 IBM WATSON ASSISTANT
           5.13.4 MICROSOFT BOT FRAMEWORK
           5.13.5 RASA
           5.13.6 BOTPRESS
    5.14 ECOSYSTEM ANALYSIS 
                    FIGURE 38 CHATBOT MARKET: ECOSYSTEM ANALYSIS
           5.14.1 CHATBOT CLOUD PLATFORM PROVIDERS
           5.14.2 CHATBOT API AND FRAMEWORK PROVIDERS
           5.14.3 CHATBOT BUILDING PLATFORM PROVIDERS
           5.14.4 CHATBOT END USERS
           5.14.5 CHATBOT REGULATORS
    5.15 CURRENT AND EMERGING BUSINESS MODELS USED FOR CHATBOT DEVELOPMENT 
    5.16 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS OF MARKET 
                    FIGURE 39 MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS
    5.17 REGULATORY LANDSCAPE 
           5.17.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 9 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 10 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 11 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 12 MIDDLE EAST AND AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 13 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    5.18 KEY STAKEHOLDERS AND BUYING CRITERIA 
           5.18.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    TABLE 14 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS (%)
           5.18.2 BUYING CRITERIA
                    FIGURE 40 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
                    TABLE 15 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
    5.19 TECHNOLOGY ANALYSIS 
           5.19.1 MACHINE LEARNING AND CHATBOT
           5.19.2 DEEP LEARNING AND CHATBOT
           5.19.3 NATURAL LANGUAGE PROCESSING AND CHATBOT
           5.19.4 AUTOMATED SPEECH RECOGNITION AND CHATBOT
 
6 CHATBOT MARKET, BY OFFERING (Page No. - 106)
    6.1 INTRODUCTION 
           6.1.1 OFFERINGS:MARKET DRIVERS
                    FIGURE 41 SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 16 MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                    TABLE 17 MARKET, BY OFFERING, 2023–2028 (USD MILLION)
    6.2 SOLUTIONS 
           FIGURE 42 MESSAGING-BASED SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
           TABLE 18 MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
           TABLE 19 MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
           6.2.1 STANDALONE
                    6.2.1.1 Provides cost-effective, flexible, and scalable chatbot solutions
                               TABLE 20 STANDALONE: CHATBOT MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 21 STANDALONE: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.2 WEB-BASED
                    6.2.2.1 Rapid growth in chatbots to drive business value and enhance customer experience
                               TABLE 22 WEB-BASED: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 23 WEB-BASED: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.3 MESSAGING-BASED
                    6.2.3.1 Rising popularity of messaging apps to drive market
                               TABLE 24 MESSAGING-BASED: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 25 MESSAGING-BASED: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.4 OTHER SOLUTIONS
                    TABLE 26 OTHER SOLUTIONS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 27 OTHER SOLUTIONS: MARKET, BY REGION, 2023–2028 (USD MILLION)
    6.3 SERVICES 
           FIGURE 43 MANAGED SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
           TABLE 28 SERVICES: CHATBOT MARKET, BY TYPE, 2017–2022 (USD MILLION)
           TABLE 29 SERVICES: MARKET, BY TYPE, 2023–2028 (USD MILLION)
           6.3.1 MANAGED SERVICES
                    TABLE 30 MANAGED SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 31 MANAGED SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.3.2 PROFESSIONAL SERVICES
                    FIGURE 44 TRAINING AND CONSULTING SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 32 PROFESSIONAL SERVICES: MARKET, BY TYPE, 2017–2022 (USD MILLION)
                    TABLE 33 PROFESSIONAL SERVICES: MARKET, BY TYPE, 2023–2028 (USD MILLION)
                    6.3.2.1 Training and consulting
                               6.3.2.1.1 Training and consulting services to play vital role in managing operations and technology updates
                               TABLE 34 TRAINING AND CONSULTING MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 35 TRAINING AND CONSULTING MARKET, BY REGION, 2023–2028 (USD MILLION)
                    6.3.2.2 System integration and implementation
                               6.3.2.2.1 Rising need to ensure effective system communications led system integration and implementation services to gain traction
                               TABLE 36 SYSTEM INTEGRATION AND IMPLEMENTATION MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 37 SYSTEM INTEGRATION AND IMPLEMENTATION MARKET, BY REGION, 2023–2028 (USD MILLION)
                    6.3.2.3 Support and maintenance
                               6.3.2.3.1 Demand for support and maintenance services to increase with rising chatbot deployment
                               TABLE 38 SUPPORT AND MAINTENANCE MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 39 SUPPORT AND MAINTENANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
 
7 CHATBOT MARKET, BY TYPE (Page No. - 120)
    7.1 INTRODUCTION 
           7.1.1 TYPES: MARKET DRIVERS
                    FIGURE 45 VOICEBOTS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 40 MARKET, BY TYPE, 2017–2022 (USD MILLION)
                    TABLE 41 MARKET, BY TYPE, 2023–2028 (USD MILLION)
    7.2 MENU-BASED 
           7.2.1 STREAMLINES CONVERSATION AND PROVIDES EFFICIENT USER EXPERIENCE
                    TABLE 42 MENU-BASED: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 43 MENU-BASED: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.3 LINGUISTIC-BASED 
           7.3.1 ADVANCES IN NLP TECHNOLOGY FOR CHATBOTS TO HELP ACCURATELY INTERPRET NATURAL LANGUAGE
                    TABLE 44 LINGUISTIC-BASED: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 45 LINGUISTIC-BASED: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.4 KEYWORD RECOGNITION-BASED 
           7.4.1 PERSONALIZED RESPONSES BASED ON USER DATA TO HELP IMPROVE CUSTOMER SATISFACTION AND LOYALTY
                    TABLE 46 KEYWORD RECOGNITION-BASED: CHATBOT MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 47 KEYWORD RECOGNITION-BASED: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.5 CONTEXTUAL 
           7.5.1 PROVIDES PERSONALIZED EXPERIENCES TO CUSTOMERS BY UNDERSTANDING PREFERENCES
                    TABLE 48 CONTEXTUAL: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 49 CONTEXTUAL: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.6 HYBRID 
           7.6.1 PROVIDES ADVANCED AND PERSONALIZED CHATBOT EXPERIENCES
                    TABLE 50 HYBRID: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 51 HYBRID: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.7 VOICEBOTS 
           7.7.1 INCREASING USAGE OF VOICE ASSISTANTS TO BOOST MARKET
                    TABLE 52 VOICEBOTS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 53 VOICEBOTS: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
8 CHATBOT MARKET, BY CHANNEL INTEGRATION (Page No. - 129)
    8.1 INTRODUCTION 
           8.1.1 CHANNEL INTEGRATION: MARKET DRIVERS
                    FIGURE 46 MESSAGING APPS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 54 MARKET, BY CHANNEL INTEGRATION, 2017–2022 (USD MILLION)
                    TABLE 55 MARKET, BY CHANNEL INTEGRATION, 2023–2028 (USD MILLION)
    8.2 EMAIL AND WEBSITE 
           8.2.1 GROWING NEED TO PROVIDE PRODUCT RECOMMENDATIONS TO WEBSITE VISITORS
                    TABLE 56 EMAIL AND WEBSITE: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 57 EMAIL AND WEBSITE: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.3 MOBILE APPS 
           8.3.1 RISING NEED FOR PERSONALIZED RECOMMENDATIONS AND RESPONSES BASED ON USER BEHAVIOR AND PREFERENCES
                    TABLE 58 MOBILE APPS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 59 MOBILE APPS: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.4 TELEPHONE/IVR 
           8.4.1 FACILITATES CONVERSATIONS BETWEEN CUSTOMERS AND BUSINESSES
                    TABLE 60 TELEPHONE/IVR: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 61 TELEPHONE/IVR: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.5 MESSAGING APPS 
           8.5.1 PROLIFERATION OF SMARTPHONES OFFERS OPPORTUNITIES FOR CHATBOT SOLUTION DEPLOYMENT
                    FIGURE 47 ENTERPRISE MESSENGER SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 62 CHATBOT MARKET, BY MESSAGING APP, 2017–2022 (USD MILLION)
                    TABLE 63 MARKET, BY MESSAGING APP, 2023–2028 (USD MILLION)
                    TABLE 64 MESSAGING APPS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 65 MESSAGING APPS: MARKET, BY REGION, 2023–2028 (USD MILLION)
           8.5.2 SOCIAL MESSENGER
                    TABLE 66 SOCIAL MESSENGER: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 67 SOCIAL MESSENGER: MARKET, BY REGION, 2023–2028 (USD MILLION)
           8.5.3 ENTERPRISE MESSENGER
                    TABLE 68 ENTERPRISE MESSENGER: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 69 ENTERPRISE MESSENGER: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
9 CHATBOT MARKET, BY BOT COMMUNICATION (Page No. - 139)
    9.1 INTRODUCTION 
           9.1.1 BOT COMMUNICATION: MARKET DRIVERS
                    FIGURE 48 AUDIO/VOICE SEGMENT TO WITNESS HIGHEST GROWTH RATE DURING FORECAST PERIOD
                    TABLE 70 MARKET, BY BOT COMMUNICATION, 2017–2022 (USD MILLION)
                    TABLE 71 MARKET, BY BOT COMMUNICATION, 2023–2028 (USD MILLION)
    9.2 TEXT 
           9.2.1 HANDLES MULTIPLE CUSTOMER INTERACTIONS WITH REDUCED WAITING TIME
                    TABLE 72 TEXT: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 73 TEXT: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.3 AUDIO/VOICE 
           9.3.1 GROWING NEED FOR MORE PERSONALIZED INTERFACE AND BETTER MARKETING STRATEGIES TO BOOST MARKET
                    TABLE 74 AUDIO/VOICE: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 75 AUDIO/VOICE: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.4 VIDEO 
           9.4.1 RISE OF REMOTE WORK AND VIRTUAL EVENTS TO PROPEL ADOPTION OF VIDEO CHATBOTS AMONG ENTERPRISES
                    TABLE 76 VIDEO: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 77 VIDEO: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
10 CHATBOT MARKET, BY BUSINESS FUNCTION (Page No. - 145)
     10.1 INTRODUCTION 
             10.1.1 BUSINESS FUNCTIONS: MARKET DRIVERS
                       FIGURE 49 HR SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
                       TABLE 78 MARKET, BY BUSINESS FUNCTION, 2017–2022 (USD MILLION)
                       TABLE 79 MARKET, BY BUSINESS FUNCTION, 2023–2028 (USD MILLION)
     10.2 HUMAN RESOURCES 
               TABLE 80 HUMAN RESOURCES: MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 81 HUMAN RESOURCES: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.2.1 HR APPLICATIONS
                       FIGURE 50 RECRUITMENT APPLICATION TO HOLD LARGEST SHARE IN 2023
                       TABLE 82 MARKET FOR HR, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 83 MARKET FOR HR, BY APPLICATION, 2023–2028 (USD MILLION)
             10.2.2 RECRUITMENT
                       10.2.2.1 Provides effective onboarding process with real-time feedback analysis
             10.2.3 ONBOARDING
                       10.2.3.1 Collects information from applicants and suggests long-term improvements
             10.2.4 SURVEY
                       10.2.4.1 Provides efficient customer support
             10.2.5 QUESTION ANSWERING
                       10.2.5.1 NLP enables chatbots to respond to users with human-like conversations
             10.2.6 OTHER HR APPLICATIONS
     10.3 SALES AND MARKETING 
               TABLE 84 SALES AND MARKETING: MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 85 SALES AND MARKETING: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.3.1 SALES AND MARKETING APPLICATIONS
                       FIGURE 51 CUSTOMER ENGAGEMENT AND RETENTION SEGMENT TO HOLD LARGEST SHARE IN 2023
                       TABLE 86 MARKET FOR SALES AND MARKETING, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 87 MARKET FOR SALES AND MARKETING, BY APPLICATION, 2023–2028 (USD MILLION)
             10.3.2 CUSTOMER ENGAGEMENT AND RETENTION
                       10.3.2.1 Provides instant, personalized, and convenient service
             10.3.3 BRANDING AND ADVERTISING
                       10.3.3.1 Provides personalized experiences and targeted messaging to potential customers
             10.3.4 CAMPAIGN MANAGEMENT
                       10.3.4.1 Improves user experience and helps create personalized interaction
             10.3.5 PERSONALIZED RECOMMENDATION
                       10.3.5.1 Collects and analyzes user data in real time
             10.3.6 OTHER SALES AND MARKETING APPLICATIONS
     10.4 FINANCE AND ACCOUNTING 
               TABLE 88 FINANCE AND ACCOUNTING: MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 89 FINANCE AND ACCOUNTING: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.4.1 FINANCE AND ACCOUNTING APPLICATIONS
                       FIGURE 52 CUSTOMER SUPPORT SEGMENT TO HOLD LARGEST SHARE IN 2023
                       TABLE 90 MARKET FOR FINANCE AND ACCOUNTING, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 91 MARKET FOR FINANCE AND ACCOUNTING, BY APPLICATION, 2023–2028 (USD MILLION)
             10.4.2 CUSTOMER SUPPORT
                       10.4.2.1 Provides cost-effective, flexible, and scalable chatbot systems
             10.4.3 PROCUREMENT MANAGEMENT
                       10.4.3.1 Reduces costs associated with manual labor and increases efficiency
             10.4.4 EXPENSE TRACKING AND REPORTING
                       10.4.4.1 Provides comprehensive view of financial performance
             10.4.5 DATA PRIVACY AND COMPLIANCE
                       10.4.5.1 Ensures chatbots to be secure, trustworthy, and compliant with legal requirements
             10.4.6 OTHER FINANCE AND ACCOUNTING APPLICATIONS
     10.5 INFORMATION TECHNOLOGY SERVICE MANAGEMENT 
               TABLE 92 ITSM: MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 93 ITSM: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.5.1 ITSM APPLICATIONS
                       FIGURE 53 INCIDENT MANAGEMENT SEGMENT TO HOLD LARGEST SHARE IN 2023
                       TABLE 94 MARKET FOR ITSM, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 95 MARKET FOR ITSM, BY APPLICATION, 2023–2028 (USD MILLION)
             10.5.2 INCIDENT MANAGEMENT
                       10.5.2.1 Provides regular updates on status and estimated resolution time
             10.5.3 COST OPTIMIZATION
                       10.5.3.1 Eliminates redundancy and reduces software licensing costs
             10.5.4 QUERY HANDLING
                       10.5.4.1 Provides better customer insights
             10.5.5 KNOWLEDGE MANAGEMENT
                       10.5.5.1 Provides personalized responses to users based on history and preferences
             10.5.6 OTHER ITSM APPLICATIONS
     10.6 OPERATIONS AND SUPPLY CHAIN 
               TABLE 96 OPERATIONS AND SUPPLY CHAIN: MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 97 OPERATIONS AND SUPPLY CHAIN: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.6.1 OPERATIONS AND SUPPLY CHAIN APPLICATIONS
                       FIGURE 54 WORKFLOW OPTIMIZATION SEGMENT TO HOLD LARGEST SHARE IN 2023
                       TABLE 98 MARKET FOR OPERATIONS AND SUPPLY CHAIN, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 99 MARKET FOR OPERATIONS AND SUPPLY CHAIN, BY APPLICATION, 2023–2028 (USD MILLION)
             10.6.2 WORKFLOW OPTIMIZATION
                       10.6.2.1 Offers effective business operations process
             10.6.3 SCHEDULING AND ROUTING
                       10.6.3.1 Rapid growth in chatbots drives business value and enhances efficiency and customer experience
             10.6.4 INVENTORY MANAGEMENT
                       10.6.4.1 Improves efficiency and accuracy of orders
             10.6.5 VENDOR ENGAGEMENT
                       10.6.5.1 Improves efficiency, reduces costs, and streamlines supply chain
             10.6.6 OTHER OPERATIONS AND SUPPLY CHAIN APPLICATIONS
     10.7 CONTACT CENTERS 
               TABLE 100 CONTACT CENTERS: MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 101 CONTACT CENTERS: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.7.1 CONTACT CENTERS APPLICATIONS
                       FIGURE 55 AGENT PERFORMANCE MANAGEMENT SEGMENT TO HOLD LARGEST SHARE IN 2023
                       TABLE 102 MARKET FOR CONTACT CENTERS, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 103 MARKET FOR CONTACT CENTERS, BY APPLICATION, 2023–2028 (USD MILLION)
             10.7.2 AGENT PERFORMANCE MANAGEMENT
                       10.7.2.1 Improves agent performance and customer satisfaction
             10.7.3 AGENT WORKFORCE MANAGEMENT
                       10.7.3.1 Need to schedule training and assist firms to manage workforce
             10.7.4 QUESTION ANSWERING
                       10.7.4.1 Improves efficiency by providing fast and accurate answers
             10.7.5 CUSTOMER SUPPORT AND FEEDBACK
                       10.7.5.1 Enhances customer support services and builds stronger customer relationships
             10.7.6 OTHER CONTACT CENTER APPLICATIONS
 
11 CHATBOT MARKET, BY VERTICAL (Page No. - 167)
     11.1 INTRODUCTION 
             11.1.1 VERTICALS: MARKET DRIVERS
                       FIGURE 56 HEALTHCARE AND LIFE SCIENCES VERTICAL TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
                       TABLE 104 MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 105 MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
     11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 
             11.2.1 CHATBOT SOLUTIONS TO HELP REDUCE FRAUD, LEVERAGE INTELLIGENT, CUSTOMER-FOCUSED MARKETING
             11.2.2 BANKING, FINANCIAL SERVICES, AND INSURANCE: CHATBOT USE CASES
                       FIGURE 57 BANKING, FINANCIAL SERVICES, AND INSURANCE: CHATBOT USE CASES
                       TABLE 106 BFSI: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 107 BFSI: MARKET, BY REGION, 2023–2028 (USD MILLION)
     11.3 ENERGY AND UTILITIES 
             11.3.1 IMPROVES CUSTOMER SERVICE, INCREASES EFFICIENCY, AND REDUCES COSTS
             11.3.2 ENERGY AND UTILITIES: CHATBOT USE CASES
                       FIGURE 58 ENERGY AND UTILITIES: CHATBOT USE CASES
                       TABLE 108 ENERGY AND UTILITIES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 109 ENERGY AND UTILITIES: MARKET, BY REGION, 2023–2028 (USD MILLION)
     11.4 RETAIL AND ECOMMERCE 
             11.4.1 CHATBOTS HELP IN RETAINING CUSTOMERS, COLLECTING FEEDBACK, AND DRIVING SALES
             11.4.2 RETAIL AND ECOMMERCE: CHATBOT USE CASES
                       FIGURE 59 RETAIL AND ECOMMERCE: CHATBOT USE CASES
                       TABLE 110 RETAIL AND ECOMMERCE: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 111 RETAIL AND ECOMMERCE: MARKET, BY REGION, 2023–2028 (USD MILLION)
     11.5 IT AND ITES 
             11.5.1 PROVIDES MORE PERSONALIZED AND RELEVANT EXPERIENCE FOR CUSTOMERS BY UNDERSTANDING PREFERENCES
             11.5.2 IT AND ITES: CHATBOT USE CASES
                       FIGURE 60 IT AND ITES: CHATBOT USE CASES
                       TABLE 112 IT AND ITES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 113 IT AND ITES: MARKET, BY REGION, 2023–2028 (USD MILLION)
     11.6 TRAVEL AND HOSPITALITY 
             11.6.1 GROWING NEED TO PROVIDE ADVANCED AND PERSONALIZED CHATBOT EXPERIENCES
             11.6.2 TRAVEL AND HOSPITALITY: CHATBOT USE CASES
                       FIGURE 61 TRAVEL AND HOSPITALITY: CHATBOT USE CASES
                       TABLE 114 TRAVEL AND HOSPITALITY: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 115 TRAVEL AND HOSPITALITY: MARKET, BY REGION, 2023–2028 (USD MILLION)
     11.7 HEALTHCARE AND LIFE SCIENCES 
             11.7.1 INCREASING NEED TO IMPROVE ACCURACY OF SYMPTOM COLLECTION AND AILMENT IDENTIFICATION
             11.7.2 HEALTHCARE AND LIFE SCIENCES: CHATBOT USE CASES
                       FIGURE 62 HEALTHCARE AND LIFE SCIENCES: CHATBOT USE CASES
                       TABLE 116 HEALTHCARE AND LIFE SCIENCES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 117 HEALTHCARE AND LIFE SCIENCES: MARKET, BY REGION, 2023–2028 (USD MILLION)
     11.8 MEDIA AND ENTERTAINMENT 
             11.8.1 NEED TO IMPROVE AUDIENCE ENGAGEMENT WITH PERSONALIZED USER EXPERIENCE
             11.8.2 MEDIA AND ENTERTAINMENT: CHATBOT USE CASES
                       FIGURE 63 MEDIA AND ENTERTAINMENT: CHATBOT USE CASES
                       TABLE 118 MEDIA AND ENTERTAINMENT: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 119 MEDIA AND ENTERTAINMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
     11.9 GOVERNMENT AND DEFENSE 
             11.9.1 GOVERNMENT AGENCIES AND DEFENSE ORGANIZATIONS TO IMPROVE CUSTOMER SERVICE
             11.9.2 GOVERNMENT AND DEFENSE: CHATBOT USE CASES
                       FIGURE 64 GOVERNMENT AND DEFENSE: CHATBOT USE CASES
                       TABLE 120 GOVERNMENT AND DEFENSE: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 121 GOVERNMENT AND DEFENSE: MARKET, BY REGION, 2023–2028 (USD MILLION)
     11.10 TELECOM 
               11.10.1 PROVIDES FAST AND EFFICIENT CUSTOMER SERVICES
               11.10.2 TELECOM: CHATBOT USE CASES
                                   FIGURE 65 TELECOM: CHATBOT USE CASES
                                   TABLE 122 TELECOM: MARKET, BY REGION, 2017–2022 (USD MILLION)
                                   TABLE 123 TELECOM: MARKET, BY REGION, 2023–2028 (USD MILLION)
     11.11 OTHER VERTICALS 
               11.11.1 OTHER VERTICALS: CHATBOT USE CASES
                                   FIGURE 66 OTHER VERTICALS: CHATBOT USE CASES
                                   TABLE 124 OTHER VERTICALS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                                   TABLE 125 OTHER VERTICALS: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
12 CHATBOT MARKET, BY REGION (Page No. - 188)
     12.1 INTRODUCTION 
               FIGURE 67 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
               FIGURE 68 INDIA TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
               TABLE 126 MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 127 MARKET, BY REGION, 2023–2028 (USD MILLION)
     12.2 NORTH AMERICA 
             12.2.1 NORTH AMERICA: MARKET DRIVERS
             12.2.2 NORTH AMERICA: RECESSION IMPACT
                       FIGURE 69 NORTH AMERICA: CHATBOT MARKET SNAPSHOT
                       TABLE 128 NORTH AMERICA: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 129 NORTH AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 130 NORTH AMERICA: MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
                       TABLE 131 NORTH AMERICA: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                       TABLE 132 NORTH AMERICA: MARKET, BY CHANNEL INTEGRATION, 2017–2022 (USD MILLION)
                       TABLE 133 NORTH AMERICA: MARKET, BY CHANNEL INTEGRATION, 2023–2028 (USD MILLION)
                       TABLE 134 NORTH AMERICA: MARKET, BY MESSAGING APP, 2017–2022 (USD MILLION)
                       TABLE 135 NORTH AMERICA: MARKET, BY MESSAGING APP, 2023–2028 (USD MILLION)
                       TABLE 136 NORTH AMERICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 137 NORTH AMERICA: CHATBOT MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 138 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 139 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                       TABLE 140 NORTH AMERICA: MARKET, BY BUSINESS FUNCTION, 2017–2022 (USD MILLION)
                       TABLE 141 NORTH AMERICA: MARKET, BY BUSINESS FUNCTION, 2023–2028 (USD MILLION)
                       TABLE 142 NORTH AMERICA: MARKET, BY TYPE, 2017–2022 (USD MILLION)
                       TABLE 143 NORTH AMERICA: MARKET, BY TYPE, 2023–2028 (USD MILLION)
                       TABLE 144 NORTH AMERICA: MARKET, BY BOT COMMUNICATION, 2017–2022 (USD MILLION)
                       TABLE 145 NORTH AMERICA: MARKET, BY BOT COMMUNICATION, 2023–2028 (USD MILLION)
                       TABLE 146 NORTH AMERICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 147 NORTH AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 148 NORTH AMERICA: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 149 NORTH AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             12.2.3 US
                       12.2.3.1 Growing application of chatbot across verticals to drive market
             12.2.4 CANADA
                       12.2.4.1 Rising adoption of cutting-edge technologies to enhance customer services and fuel market growth
     12.3 EUROPE 
             12.3.1 EUROPE: MARKET DRIVERS
             12.3.2 EUROPE: RECESSION IMPACT
                       TABLE 150 EUROPE: CHATBOT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 151 EUROPE: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 152 EUROPE: MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
                       TABLE 153 EUROPE: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                       TABLE 154 EUROPE: MARKET, BY CHANNEL INTEGRATION, 2017–2022 (USD MILLION)
                       TABLE 155 EUROPE: MARKET, BY CHANNEL INTEGRATION, 2023–2028 (USD MILLION)
                       TABLE 156 EUROPE: MARKET, BY MESSAGING APP, 2017–2022 (USD MILLION)
                       TABLE 157 EUROPE: MARKET, BY MESSAGING APP, 2023–2028 (USD MILLION)
                       TABLE 158 EUROPE: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 159 EUROPE: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 160 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 161 EUROPE: CHATBOT MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                       TABLE 162 EUROPE: MARKET, BY BUSINESS FUNCTION, 2017–2022 (USD MILLION)
                       TABLE 163 EUROPE: MARKET, BY BUSINESS FUNCTION, 2023–2028 (USD MILLION)
                       TABLE 164 EUROPE: MARKET, BY TYPE, 2017–2022 (USD MILLION)
                       TABLE 165 EUROPE: MARKET, BY TYPE, 2023–2028 (USD MILLION)
                       TABLE 166 EUROPE: MARKET, BY BOT COMMUNICATION, 2017–2022 (USD MILLION)
                       TABLE 167 EUROPE: MARKET, BY BOT COMMUNICATION, 2023–2028 (USD MILLION)
                       TABLE 168 EUROPE: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 169 EUROPE: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 170 EUROPE: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 171 EUROPE: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             12.3.3 UK
                       12.3.3.1 Growing adoption of chatbots in eCommerce and rising number of startups to fuel market growth
             12.3.4 GERMANY
                       12.3.4.1 Growing adoption of cutting-edge digital technologies enables to adopt chatbot solutions in various verticals
             12.3.5 FRANCE
                       12.3.5.1 Rising investments to adopt cutting-edge technologies and initiatives to support startups
             12.3.6 ITALY
                       12.3.6.1 Chatbot solutions fulfill customer requests in personalized way
             12.3.7 SPAIN
                       12.3.7.1 Rapid adoption of emerging technologies to enhance customer experience
             12.3.8 REST OF EUROPE
                       12.3.8.1 Initiatives taken by government and rising application of chatbots across verticals to drive market
     12.4 ASIA PACIFIC 
             12.4.1 ASIA PACIFIC: MARKET DRIVERS
             12.4.2 ASIA PACIFIC: RECESSION IMPACT
                       FIGURE 70 ASIA PACIFIC: CHATBOT MARKET SNAPSHOT
                       TABLE 172 ASIA PACIFIC: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 173 ASIA PACIFIC: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 174 ASIA PACIFIC: MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
                       TABLE 175 ASIA PACIFIC: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                       TABLE 176 ASIA PACIFIC: MARKET, BY CHANNEL INTEGRATION, 2017–2022 (USD MILLION)
                       TABLE 177 ASIA PACIFIC: MARKET, BY CHANNEL INTEGRATION, 2023–2028 (USD MILLION)
                       TABLE 178 ASIA PACIFIC: MARKET, BY MESSAGING APP, 2017–2022 (USD MILLION)
                       TABLE 179 ASIA PACIFIC: MARKET, BY MESSAGING APP, 2023–2028 (USD MILLION)
                       TABLE 180 ASIA PACIFIC: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 181 ASIA PACIFIC: CHATBOT MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 182 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 183 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                       TABLE 184 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION, 2017–2022 (USD MILLION)
                       TABLE 185 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION, 2023–2028 (USD MILLION)
                       TABLE 186 ASIA PACIFIC: MARKET, BY TYPE, 2017–2022 (USD MILLION)
                       TABLE 187 ASIA PACIFIC: MARKET, BY TYPE, 2023–2028 (USD MILLION)
                       TABLE 188 ASIA PACIFIC: MARKET, BY BOT COMMUNICATION, 2017–2022 (USD MILLION)
                       TABLE 189 ASIA PACIFIC: MARKET, BY BOT COMMUNICATION, 2023–2028 (USD MILLION)
                       TABLE 190 ASIA PACIFIC: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 191 ASIA PACIFIC: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 192 ASIA PACIFIC: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 193 ASIA PACIFIC: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             12.4.3 CHINA
                       12.4.3.1 Growing chatbot solutions in various verticals to drive market
             12.4.4 INDIA
                       12.4.4.1 Adoption of AI technology to drive market
             12.4.5 JAPAN
                       12.4.5.1 Advancements in technologies and need to prevent data breaches to drive market
             12.4.6 ANZ
                       12.4.6.1 Rising need to reduce overall operational costs to drive market
             12.4.7 SOUTH KOREA
                       12.4.7.1 Adoption of AI and related technologies to help create favorable environment for market growth
             12.4.8 ASEAN
                       12.4.8.1 Growing data generation to boost demand
             12.4.9 REST OF ASIA PACIFIC
     12.5 MIDDLE EAST AND AFRICA 
             12.5.1 MIDDLE EAST AND AFRICA: MARKET DRIVERS
             12.5.2 MIDDLE EAST AND AFRICA: RECESSION IMPACT
                       TABLE 194 MIDDLE EAST AND AFRICA: CHATBOT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 195 MIDDLE EAST AND AFRICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 196 MIDDLE EAST AND AFRICA: MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
                       TABLE 197 MIDDLE EAST AND AFRICA: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                       TABLE 198 MIDDLE EAST AND AFRICA: MARKET, BY CHANNEL INTEGRATION, 2017–2022 (USD MILLION)
                       TABLE 199 MIDDLE EAST AND AFRICA: MARKET, BY CHANNEL INTEGRATION, 2023–2028 (USD MILLION)
                       TABLE 200 MIDDLE EAST AND AFRICA: MARKET, BY MESSAGING APP, 2017–2022 (USD MILLION)
                       TABLE 201 MIDDLE EAST AND AFRICA: MARKET, BY MESSAGING APP, 2023–2028 (USD MILLION)
                       TABLE 202 MIDDLE EAST AND AFRICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 203 MIDDLE EAST AND AFRICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 204 MIDDLE EAST AND AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 205 MIDDLE EAST AND AFRICA: CHATBOT MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                       TABLE 206 MIDDLE EAST AND AFRICA: MARKET, BY BUSINESS FUNCTION, 2017–2022 (USD MILLION)
                       TABLE 207 MIDDLE EAST AND AFRICA: MARKET, BY BUSINESS FUNCTION, 2023–2028 (USD MILLION)
                       TABLE 208 MIDDLE EAST AND AFRICA: MARKET, BY TYPE, 2017–2022 (USD MILLION)
                       TABLE 209 MIDDLE EAST AND AFRICA: MARKET, BY TYPE, 2023–2028 (USD MILLION)
                       TABLE 210 MIDDLE EAST AND AFRICA: MARKET, BY BOT COMMUNICATION, 2017–2022 (USD MILLION)
                       TABLE 211 MIDDLE EAST AND AFRICA: MARKET, BY BOT COMMUNICATION, 2023–2028 (USD MILLION)
                       TABLE 212 MIDDLE EAST AND AFRICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 213 MIDDLE EAST AND AFRICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 214 MIDDLE EAST AND AFRICA: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 215 MIDDLE EAST AND AFRICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             12.5.3 UNITED ARAB EMIRATES
                       12.5.3.1 Chatbot solutions to offer customer support services
             12.5.4 SAUDI ARABIA
                       12.5.4.1 Chatbot solutions to improve operational efficiency
             12.5.5 SOUTH AFRICA
                       12.5.5.1 Emphasis on improving customer experience to drive demand for chatbot
             12.5.6 ISRAEL
                       12.5.6.1 Rising need to reduce overall operational costs to drive market
             12.5.7 EGYPT
                       12.5.7.1 Rapid evolution of digital products and services to grow market
             12.5.8 REST OF MIDDLE EAST AND AFRICA
     12.6 LATIN AMERICA 
             12.6.1 LATIN AMERICA: MARKET DRIVERS
             12.6.2 LATIN AMERICA: RECESSION IMPACT
                       TABLE 216 LATIN AMERICA: CHATBOT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 217 LATIN AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 218 LATIN AMERICA: MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
                       TABLE 219 LATIN AMERICA: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                       TABLE 220 LATIN AMERICA: MARKET, BY CHANNEL INTEGRATION, 2017–2022 (USD MILLION)
                       TABLE 221 LATIN AMERICA: MARKET, BY CHANNEL INTEGRATION, 2023–2028 (USD MILLION)
                       TABLE 222 LATIN AMERICA: MARKET, BY MESSAGING APP, 2017–2022 (USD MILLION)
                       TABLE 223 LATIN AMERICA: MARKET, BY MESSAGING APP, 2023–2028 (USD MILLION)
                       TABLE 224 LATIN AMERICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 225 LATIN AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 226 LATIN AMERICA: CHATBOT MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 227 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                       TABLE 228 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION, 2017–2022 (USD MILLION)
                       TABLE 229 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION, 2023–2028 (USD MILLION)
                       TABLE 230 LATIN AMERICA: MARKET, BY TYPE, 2017–2022 (USD MILLION)
                       TABLE 231 LATIN AMERICA: MARKET, BY TYPE, 2023–2028 (USD MILLION)
                       TABLE 232 LATIN AMERICA: MARKET, BY BOT COMMUNICATION, 2017–2022 (USD MILLION)
                       TABLE 233 LATIN AMERICA: MARKET, BY BOT COMMUNICATION, 2023–2028 (USD MILLION)
                       TABLE 234 LATIN AMERICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 235 LATIN AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 236 LATIN AMERICA: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 237 LATIN AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             12.6.3 BRAZIL
                       12.6.3.1 Focuses on technologies and applications to grow market
             12.6.4 MEXICO
                       12.6.4.1 Demand for AI-based technologies to drive growth
             12.6.5 ARGENTINA
                       12.6.5.1 Rising chatbot startups for better customer experience to spur market growth
             12.6.6 REST OF LATIN AMERICA
 
13 COMPETITIVE LANDSCAPE (Page No. - 240)
     13.1 OVERVIEW 
     13.2 KEY PLAYER STRATEGIES 
               TABLE 238 OVERVIEW OF STRATEGIES ADOPTED BY KEY CHATBOT VENDORS
     13.3 REVENUE ANALYSIS 
             13.3.1 HISTORICAL REVENUE ANALYSIS
                       FIGURE 71 HISTORICAL REVENUE ANALYSIS OF TOP PLAYERS, 2020–2022 (USD MILLION)
     13.4 MARKET SHARE ANALYSIS 
               FIGURE 72 MARKET SHARE ANALYSIS FOR KEY COMPANIES, 2022
               TABLE 239 CHATBOT MARKET: DEGREE OF COMPETITION
     13.5 COMPANY EVALUATION QUADRANT 
             13.5.1 STARS
             13.5.2 EMERGING LEADERS
             13.5.3 PERVASIVE PLAYERS
             13.5.4 PARTICIPANTS
                       FIGURE 73 KEY CHATBOT MARKET PLAYERS, COMPANY EVALUATION QUADRANT, 2022
             13.5.5 COMPETITIVE BENCHMARKING
                       TABLE 240 MARKET: PRODUCT FOOTPRINT ANALYSIS OF KEY PLAYERS, 2022
                       TABLE 241 MARKET: PRODUCT FOOTPRINT ANALYSIS OF OTHER KEY PLAYERS, 2022
     13.6 STARTUP/SME EVALUATION QUADRANT 
             13.6.1 PROGRESSIVE COMPANIES
             13.6.2 RESPONSIVE COMPANIES
             13.6.3 DYNAMIC COMPANIES
             13.6.4 STARTING BLOCKS
                       FIGURE 74 STARTUPS/SMES CHATBOT PLAYERS, COMPANY EVALUATION QUADRANT, 2022
             13.6.5 STARTUPS/SMES COMPETITIVE BENCHMARKING
                       TABLE 242 MARKET: DETAILED LIST OF KEY STARTUPS/SMES
                       TABLE 243 MARKET: PRODUCT FOOTPRINT ANALYSIS OF STARTUPS/SMES PLAYERS, 2023
     13.7 COMPETITIVE SCENARIO AND TRENDS 
             13.7.1 PRODUCT LAUNCHES
                       TABLE 244 SERVICE/PRODUCT LAUNCHES, 2020–2023
             13.7.2 DEALS
                       TABLE 245 DEALS, 2020–2023
     13.8 CHATBOT MARKET PRODUCT LANDSCAPE 
               TABLE 246 COMPARATIVE ANALYSIS OF TRENDING CHATBOT PRODUCTS
             13.8.1 IBM WATSON ASSISTANT
             13.8.2 AMAZON LEX
             13.8.3 GOOGLE DIALOGFLOW
             13.8.4 BLENDERBOT 3
             13.8.5 OPENAI GPT-4
             13.8.6 MICROSOFT BOT FRAMEWORK
 
14 COMPANY PROFILES (Page No. - 259)
     14.1 INTRODUCTION 
     14.2 KEY PLAYERS 
(Business Overview, Products offered, Recent Developments, MnM View)*
             14.2.1 MICROSOFT
                       TABLE 247 MICROSOFT: BUSINESS OVERVIEW
                       FIGURE 75 MICROSOFT: COMPANY SNAPSHOT
                       TABLE 248 MICROSOFT: PRODUCTS OFFERED
                       TABLE 249 MICROSOFT: PRODUCT LAUNCHES
                       TABLE 250 MICROSOFT: DEALS
             14.2.2 IBM
                       TABLE 251 IBM: BUSINESS OVERVIEW
                       FIGURE 76 IBM: COMPANY SNAPSHOT
                       TABLE 252 IBM: PRODUCTS OFFERED
                       TABLE 253 IBM: PRODUCT LAUNCHES
                       TABLE 254 IBM: DEALS
             14.2.3 GOOGLE
                       TABLE 255 GOOGLE: BUSINESS OVERVIEW
                       FIGURE 77 GOOGLE: COMPANY SNAPSHOT
                       TABLE 256 GOOGLE: PRODUCTS OFFERED
                       TABLE 257 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
             14.2.4 AWS
                       TABLE 258 AWS: BUSINESS OVERVIEW
                       FIGURE 78 AWS: COMPANY SNAPSHOT
                       TABLE 259 AWS: PRODUCTS OFFERED
                       TABLE 260 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 261 AWS: DEALS
             14.2.5 BAIDU
                       TABLE 262 BAIDU: BUSINESS OVERVIEW
                       FIGURE 79 BAIDU: COMPANY SNAPSHOT
                       TABLE 263 BAIDU: PRODUCTS OFFERED
                       TABLE 264 BAIDU: PRODUCT LAUNCHES
                       TABLE 265 BAIDU: DEALS
             14.2.6 OPENAI
                       TABLE 266 OPENAI: BUSINESS OVERVIEW
                       TABLE 267 OPENAI: PRODUCTS OFFERED
                       TABLE 268 OPENAI: PRODUCT LAUNCHES
                       TABLE 269 OPENAI: DEALS
             14.2.7 SALESFORCE
                       TABLE 270 SALESFORCE: BUSINESS OVERVIEW
                       FIGURE 80 SALESFORCE: COMPANY SNAPSHOT
                       TABLE 271 SALESFORCE: PRODUCTS OFFERED
                       TABLE 272 SALESFORCE: DEALS
             14.2.8 META
                       TABLE 273 META: BUSINESS OVERVIEW
                       FIGURE 81 META: COMPANY SNAPSHOT
                       TABLE 274 META: PRODUCTS OFFERED
                       TABLE 275 META: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 276 META: DEALS
             14.2.9 ARTIFICIAL SOLUTIONS
                       TABLE 277 ARTIFICIAL SOLUTIONS: BUSINESS OVERVIEW
                       FIGURE 82 ARTIFICIAL SOLUTIONS: COMPANY SNAPSHOT
                       TABLE 278 ARTIFICIAL SOLUTIONS: PRODUCTS OFFERED
                       TABLE 279 ARTIFICIAL SOLUTIONS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 280 ARTIFICIAL SOLUTIONS: DEALS
                       TABLE 281 ARTIFICIAL SOLUTIONS: OTHERS
             14.2.10 ORACLE
                       TABLE 282 ORACLE: BUSINESS OVERVIEW
                       FIGURE 83 ORACLE: COMPANY SNAPSHOT
                       TABLE 283 ORACLE: PRODUCTS OFFERED
                       TABLE 284 ORACLE: PRODUCT LAUNCHES
                       TABLE 285 ORACLE: DEALS
             14.2.11 SAP
                       TABLE 286 SAP: BUSINESS OVERVIEW
                       FIGURE 84 SAP: COMPANY SNAPSHOT
                       TABLE 287 SAP: PRODUCTS OFFERED
                       TABLE 288 SAP: DEALS
             14.2.12 SERVICENOW
                       TABLE 289 SERVICENOW: BUSINESS OVERVIEW
                       FIGURE 85 SERVICENOW: COMPANY SNAPSHOT
                       TABLE 290 SERVICENOW: PRODUCTS OFFERED
                       TABLE 291 SERVICENOW: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 292 SERVICENOW: DEALS
     14.3 OTHER KEY PLAYERS 
             14.3.1 AVAAMO
             14.3.2 CONVERSICA
             14.3.3 HAPTIK
             14.3.4 INBENTA
             14.3.5 CREATIVE VIRTUAL
             14.3.6 KORE.AI
             14.3.7 [24]7.AI
             14.3.8 AIVO
             14.3.9 PERSONETICS
             14.3.10 LIVEPERSON
             14.3.11 GUPSHUP
             14.3.12 FRESHWORKS
             14.3.13 SOLVVY
             14.3.14 PANDORABOTS
             14.3.15 INTERCOM
*Details on Business Overview, Products offered, Recent Developments, MnM View might not be captured in case of unlisted companies.
     14.4 STARTUP/SME PLAYERS 
             14.4.1 ENGATI
             14.4.2 BOTSIFY
             14.4.3 YELLOW.AI
             14.4.4 DRIFT
             14.4.5 CHATFUEL
             14.4.6 LANDBOT.IO
             14.4.7 CUSTOMERS.AI
             14.4.8 BOTSCREW
             14.4.9 RASA
 
15 ADJACENT AND RELATED MARKETS (Page No. - 317)
     15.1 INTRODUCTION 
     15.2 NLP MARKET - GLOBAL FORECAST TO 2027 
             15.2.1 MARKET DEFINITION
             15.2.2 MARKET OVERVIEW
                       15.2.2.1 NLP market, by component
                                   TABLE 293 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION)
                                   TABLE 294 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                       15.2.2.2 NLP market, by type
                                   TABLE 295 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2016–2021 (USD MILLION)
                                   TABLE 296 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2022–2027 (USD MILLION)
                       15.2.2.3 NLP market, by deployment mode
                                   TABLE 297 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION)
                                   TABLE 298 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                       15.2.2.4 NLP market, by organization size
                                   TABLE 299 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION)
                                   TABLE 300 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
                       15.2.2.5 NLP market, by application
                                   TABLE 301 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2016–2021 (USD MILLION)
                                   TABLE 302 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
                       15.2.2.6 NLP market, by technology
                                   TABLE 303 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2016–2021 (USD MILLION)
                                   TABLE 304 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2022–2027 (USD MILLION)
                       15.2.2.7 NLP market, by vertical
                                   TABLE 305 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
                                   TABLE 306 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
                       15.2.2.8 NLP market, by region
                                   TABLE 307 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016–2021 (USD MILLION)
                                   TABLE 308 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022–2027 (USD MILLION)
     15.3 SPEECH ANALYTICS MARKET - GLOBAL FORECAST TO 2027 
             15.3.1 MARKET DEFINITION
             15.3.2 MARKET OVERVIEW
             15.3.3 SPEECH ANALYTICS MARKET, BY COMPONENT
                       TABLE 309 SPEECH ANALYTICS MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
                       TABLE 310 SPEECH ANALYTICS MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
             15.3.4 SPEECH ANALYTICS MARKET, BY BUSINESS FUNCTION
                       TABLE 311 SPEECH ANALYTICS MARKET, BY BUSINESS FUNCTION, 2017–2021 (USD MILLION)
                       TABLE 312 SPEECH ANALYTICS MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD MILLION)
             15.3.5 SPEECH ANALYTICS MARKET, BY ORGANIZATION SIZE
                       TABLE 313 SPEECH ANALYTICS MARKET, BY ORGANIZATION SIZE, 2017–2021 (USD MILLION)
                       TABLE 314 SPEECH ANALYTICS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
             15.3.6 SPEECH ANALYTICS MARKET, BY DEPLOYMENT MODE
                       TABLE 315 SPEECH ANALYTICS MARKET, BY DEPLOYMENT MODE, 2017–2021 (USD MILLION)
                       TABLE 316 SPEECH ANALYTICS MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
             15.3.7 SPEECH ANALYTICS MARKET, BY APPLICATION
                       TABLE 317 SPEECH ANALYTICS MARKET, BY APPLICATION, 2017–2021 (USD MILLION)
                       TABLE 318 SPEECH ANALYTICS MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
             15.3.8 SPEECH ANALYTICS MARKET, BY VERTICAL
                       TABLE 319 SPEECH ANALYTICS MARKET, BY VERTICAL, 2017–2021 (USD MILLION)
                       TABLE 320 SPEECH ANALYTICS MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
             15.3.9 SPEECH ANALYTICS MARKET, BY REGION
                       TABLE 321 SPEECH ANALYTICS MARKET, BY REGION, 2017–2021 (USD MILLION)
                       TABLE 322 SPEECH ANALYTICS MARKET, BY REGION, 2022–2027 (USD MILLION)
 
16 APPENDIX (Page No. - 332)
     16.1 DISCUSSION GUIDE 
     16.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     16.3 CUSTOMIZATION OPTIONS 
     16.4 RELATED REPORTS 
     16.5 AUTHOR DETAILS 

The study involved four major activities in estimating the current market size of chatbot market. Extensive secondary research was done to collect information on the market, peer market, and parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were used to estimate the total 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 chatbot market.

Secondary Research

In the secondary research process, various secondary sources, such as Information Discovery and Delivery, Journal of Data Mining and Knowledge Discovery, and Data Science Journal, have been referred to for identifying and collecting information for this study. Secondary sources included annual reports; press releases & investor presentations of companies; whitepapers, certified publications, and articles by recognized authors; gold standard and silver standard websites; Research and Development (R&D) organizations; regulatory bodies; and databases.

Primary Research

Various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief X Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and product development/innovation teams; related key executives from chatbot solution vendors, system integrators, professional service providers, industry associations, and consultants; and key opinion leaders. 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 primary profiles:

Chatbot Market Size, and Share

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

Market Size Estimation

Both top-down and bottom-up approaches were used to estimate and validate the total size of the chatbot market. The top-down approach was used to derive the revenue contribution of top vendors and their offerings in the chatbot market. The bottom-up approach was used to arrive at the overall market size of the global chatbot market using key companies’ revenue and their offerings 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 percentages, shares, and breakups were determined using secondary sources and verified through primary sources.

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakup procedures were employed, wherever applicable. 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.

Market Definition

According to IBM, a leading AI and machine learning technology provider, chatbots are AI-powered virtual agents designed to converse with humans, typically over text or voice channels, to automate customer-facing interactions and improve customer experiences. Moreover, chatbots are computer programs designed to simulate conversation with human users, typically to provide customer service or engage with customers in a conversational manner. They can be powered by AI and natural language processing technology and used in various industries and applications.

Key Stakeholders

  • Chatbot solution vendors
  • Chatbot service vendors
  • Managed service providers
  • Support and maintenance service providers
  • System Integrators (SIs)/migration service providers
  • Value-Added Resellers (VARs) and distributors
  • Distributors and Value-added Resellers (VARs)
  • Independent Software Vendors (ISV)
  • Third-party providers
  • Technology providers

Report Objectives

  • To define, describe, and predict the chatbot market by offering (solutions and services), type, business function, bot communication, channel integration, vertical, and region
  • To provide detailed information about major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments with respect to five main regions: North America, Europe, Asia Pacific, Middle East and Africa, and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies
  • To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the chatbot market

Available Customizations

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

Product Analysis

  • Product matrix provides a detailed comparison of the product portfolio of each company

Geographic Analysis

  • Further breakup of the North American Chatbot market
  • Further breakup of the European Chatbot market
  • Further breakup of the Asia Pacific Chatbot market
  • Further breakup of the Latin American Chatbot market
  • Further breakup of the Middle East and Africa Chatbot market

Company Information

  • Detailed analysis and profiling of additional market players up to 5
Custom Market Research Services

We will customize the research for you, in case the report listed above does not meet with your exact requirements. Our custom research will comprehensively cover the business information you require to help you arrive at strategic and profitable business decisions.

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