Chatbot Market

7500+ companies worldwide approach us every year for their revenue growth inititatives

Global top 2000 strategist rely on us for their growth strategies.

80% of fortune 2000 companies rely on our research to identify new revenue sources.

30000 High Growth Opportunities

95% renewal rate

KNOW MORE

Chatbot Market by Component (Solutions and Services), Usage (Websites and Contact Centers), Technology, Deployment Model, Application (Customer Support and Personal Assistant), Organization Size, Vertical, and Region - Global Forecast to 2024

FREE BROCHURE FREE SAMPLE REPORT

Report Code: TC 4647 Nov, 2019, by marketsandmarkets.com

[194 Pages Report] The chatbot market size is expected to grow from USD 2.6 billion in 2019 to USD 9.4 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 29.7% during the forecast period. Key growth factors for the market include advancement in technology coupled with rising customer demand for self-services and 24*7 customer assistance at lower operational costs. Further, initiatives toward the development of self-learning chatbots to deliver more human-like conversational experience, growing use of chatbot among various industries, and increasing focus on customer engagement through various channels to create many opportunities for vendors in the global chatbot market.

Chatbots Market

Customer engagement and retention to hold the largest market size during the forecast period

Customer engagement and retention is one of the main focus areas of various verticals. These verticals have started deploying Artificial Intelligence (AI)-powered chatbots into their operations to engage customers and offer them seamless experiences throughout their journey. Chatbots act as an effective tool for verticals to attract, retain, and engage new customers, owing to their ability to engage customers, collect new data, and shorten sales life cycles. Hence, the customer engagement and retention is projected to become a crucial application area to deploy chatbot solutions.

Chatbots Market

APAC is expected to hold the highest CAGR during the forecast period

The global chatbot market covers 5 major geographic regions, namely, North America, Asia Pacific (APAC), Europe, Middle East and Africa (MEA), and Latin America. North America is expected to hold the largest market size during the forecast period. The APAC region shows rapid growth in the market, as the APAC region holds more than 50% of the world�s population, and therefore any major technological shifts, such as those being heralded by AI are likely to shape the future of the region. Many Asian countries, such as China, Singapore, India, and Japan are leveraging information-intensive AI technologies, and chatbot is one of the leading technology trends and hence, APAC is expected to show promising opportunities to deploy chatbot solutions.

Market Dynamics

Driver: 24*7 customer assistance at a lower operational cost

Chatbots are proving to be a promising agent that can provide 24*7 while reducing the overall operational cost. Additionally, AI-powered chatbots provide benefits, such as automation of repetitive tasks leading to increased process efficiency, delivery of support in multiple languages, and provision of better self-service experiences. Due to its ability to personalize the experience without any interruption, chatbots are expected to play a key role in the coming years where customer support services are concerned. The provision of quick responses to customer queries has become a key factor for the success of organizations. Hence enterprises are looking at the chatbot as a powerful conversational interface for engaging customers effectively and providing them with a dynamic and rich user experience environment. Starbucks, KLM Dutch Airlines, Spotify, and Bank of America are some brands that have deployed chatbots with the intent to deliver seamless customer experiences.

Restraints: Inability to recognize customer intent and respond effectively

Software tools, such as Application Program Interfaces (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.

Opportunity: Initiatives toward development of self-learning chatbots to deliver a more humanlike conversational experience

Self-learning chatbots can adapt to changing conditions in the environment they operate in, such as these bot cans learn from their actions, experiences, and decisions. These chatbots can be considered as clever enough to analyze data in minimal time and help the customer find the exact information they are looking for conveniently, by offering support in multiple languages. Self-learning bots whose behavior is data driven are powered NLP technology and self-learning capability (supervised ML), which can enable the delivery of more humanlike and natural communication and can learn from their own mistakes.

Challenge: Lack of awareness

Lack of awareness and challenges related to change management may impact the growth of the market to a certain extent. Though the adoption of chatbots solutions is increasing among various industries, challenges pertaining to the effective utilizations and limited awareness about the benefits offered by AI�powered chatbots solutions may limit the growth of adoption of chatbot solutions among developing regions, such as Latin America and Africa, Moreover, large organizations are at the forefront of adopting chatbot solutions , however, Small and Medium-sized Enterprises (SMEs) have limited adoption of the same, owing to the cost associated with maintenance and lack of skilled resources, among others.

Scope of the Report

Report Metrics	Details
Market size available for years	2017-2024
Base year considered	2018
Forecast period	2019�2024
Forecast units	Billion (USD)
Segments covered	Component, Technology, Deployment Model, Usage, Organization Size, Application, Vertical, and Region
Geographies covered	North America, Europe, APAC, Latin America, and MEA
Companies covered	IBM Corporation(US), Nuance Communications (US), Google (US), Amazon Web Services(US), Artificial Solutions (Spain), Inbenta Technologies (US), [24]7.ai (US), Chatfuel (US), AIVO (Argentina), Botsify (Pakistan), Passage AI (US), Kore.ai (US), KeyReply (Singapore), SmartBots (US), Contus (India), Yellow Messenger (India), CogniCor (US), Conversica (US), Gupshup (US), Kevit (India), and Yekaliva (India)

This research report categorizes the chatbot market based on component, deployment mode, organization size, application, verticals, and regions.

By component, the chatbot market is divided into the following segments:

Solutions
- Software
- Platform
Services
- Managed Services
- Professional Services

By technology, the chatbot market is divided into the following segments:

Machine Learning (ML)
Natural Language Processing (NLP)
Automated Speech Recognition (ASR)

By usage, the chatbot market is divided into the following segments:

Websites
Contact Centers
Social Media
Mobile Platform

By deployment model, the chatbot market is divided into the following segments:

Cloud
On-premises

By organization size, the chatbot market is divided into the following segments:

Large Enterprises
Small and Medium-Sized Enterprises (SMEs)

By application, the chatbot market is divided into the following segments:

Customer Support
Personal Assistant
Branding and Advertisement
Customer Engagement and Retention
Data Privacy and Compliance
Onboarding and Employee Engagement
Others (Campaign Analysis, Payment Processing and, Data Aggregation )

By vertical, the chatbot market is divided into the following segments:

Banking, Financial Services and Insurance (BFSI)
Media and Entertainment
Retail and eCommerce
Travel and Hospitality
Telecom
Healthcare and Life Sciences
Others (Manufacturing, Government, Education, and Utilities )

By region, the chatbot market is divided into the following segments:

North America
- US
- Canada
Europe
- UK
- Germany
- France
- Rest of Europe
Asia Pacific (APAC)
- China
- Singapore
- South Korea
- India
- Rest of APAC
Middle East and Africa (MEA)
- Middle East
- Africa
Latin America
- Brazil
- Mexico
- Rest of Latin America

Key Market Players

The chatbot market comprises key solution providers, such as IBM Corporation (US), Nuance Communications (US), Google (US), Amazon Web Services (US), Artificial Solutions (Spain), Inbenta Technologies (US), [24]7.ai (US), Chatfuel (US), AIVO (Argentina), Botsify.com (Pakistan), Passage AI (US), Kore.ai (US.ai), KeyReply (Singapore), SmartBots (US), Contus (India), Yellow Messenger (India), CogniCor Technologies (US), Conversica (US), Gupshup (US), and Kevit (India).

Nuance Communications formed a partnership with Apple, wherein Apple, with the help of Nuance, launched a new tool called Business Chat for Apple�s platform, which would allow businesses to add live chat features. This business chat would enable businesses to connect to their clients with the help of Apple�s messaging platform. The platform would enable users to engage with airlines, retail, and telecom to find the answer to questions, solve issues, and perform transactions. Along with these strategies, the company also focuses on further strengthening its product portfolio.

Recent Developments:

In January 2019, IBM formed a partnership with the Ingenico Group to build a payment-enabled chatbot with the intent to deliver personalized experiences to its customers. Ingenico Group is a European company engaged in delivering the technology required for conducting secure electronic transactions. Through this partnership, Ingenico Group could leverage Natural Language Processing (NLP) capabilities offered by the Watson platform to better understand user requests and interpret nuances in various languages and phrasing. Owing to this, the bot could respond to customer requests quickly.

In April 2019, Google formed a partnership with Salesforce to develop smart customer experience. With this partnership, both companies aim to integrate Google�s Dialogflow Enterprise Edition with Salesforce Einstien platform product offerings for customer services. By integrating these solutions, both companies aimed at developing a solution, whether it is a chatbot or an agent, to create an enhanced customer service experience.

Key Questions addressed by the report:

What are the opportunities in the chatbot market?
What is the competitive landscape in the market?
What are the emerging applications showing the adoption of chatbots solutions in the global market?
What are the key use cases existing in the market?
What are the key trends and dynamics existing in the market?

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

Table of Contents

1 Introduction (Page No. - 20)
    1.1 Objectives of the Study
    1.2 Market Definition
           1.2.1 Inclusions and Exclusions
    1.3 Market Scope
           1.3.1 Market Segmentation
           1.3.2 Regions Covered
    1.4 Years Considered for the Study
    1.5 Currency Considered
    1.6 Stakeholders

2 Research Methodology (Page No. - 23)
    2.1 Research Data
           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
           2.3.1 Top-Down Approach
           2.3.2 Bottom-Up Approach
    2.4 Market Forecast
    2.5 Assumptions for the Study
    2.6 Limitations of the Study

3 Executive Summary (Page No. - 29)

4 Premium Insights (Page No. - 34)
    4.1 Attractive Opportunities in the Global Chatbot Market
    4.2 Market By Application
    4.3 Market Top 3 Verticals and Regions
    4.4 Market By Region

5 Market Overview and Industry Trends (Page No. - 37)
    5.1 Introduction
    5.2 Market Dynamics
           5.2.1 Drivers
                    5.2.1.1 Advancement in Technology Coupled With Rising Customer Demand for Self-Services
                    5.2.1.2 24*7 Customer Assistance at a Lower Operational Cost
           5.2.2 Restraints
                    5.2.2.1 Inability to Recognize Customer Intent and Respond Effectively
           5.2.3 Opportunities
                    5.2.3.1 Initiatives Toward Development of Self-Learning Chatbots to Deliver a More Humanlike Conversational Experience
                    5.2.3.2 Growing use of Chatbots Among Major Industries
                    5.2.3.3 Increasing Focus on Customer Engagement Through Various Channels
           5.2.4 Challenges
                    5.2.4.1 Lack of Awareness About the Effect of Chatbot Technology on Various Applications
    5.3 Use Cases
           5.3.1 Use Case: Scenario 1
           5.3.2 Use Case: Scenario 2
           5.3.3 Use Case: Scenario 3
           5.3.4 Use Case: Scenario 4
           5.3.5 Use Case: Scenario 5
           5.3.6 Use Case: Scenario 6
           5.3.7 Use Case: Scenario 7
           5.3.8 Use Case: Scenario 8
           5.3.9 Use Case: Scenario 9
           5.3.10 Use Case: Scenario 10
           5.3.11 Use Case: Scenario 11
    5.4 Regulatory Implications
           5.4.1 General Data Protection Regulation
           5.4.2 Health Insurance Portability and Accountability Act
           5.4.3 Payment Card Industry Data Security Standard
           5.4.4 Financial Industry Regulatory Authority
           5.4.5 Service Organizational Control 2
           5.4.6 Markets in Financial Instruments Directive II

6 Chatbot Market, By Component (Page No. - 50)
    6.1 Introduction
    6.2 Solutions
           6.2.1 Platform
                    6.2.1.1 Chatbot Platforms Help Understand the Conversational Data of Intelligent Digital Assistants
           6.2.2 Software
                    6.2.2.1 Growth of AI and ML Technologies to Drive the Demand for Chatbot Software
    6.3 Services
           6.3.1 Managed Services
                    6.3.1.1 Increasing Need to Monitor and Maintain Tool Operations and Reduce Overhead Costs Driving the Demand for Managed Services
           6.3.2 Professional Services
                    6.3.2.1 Growing use of AI and Analytics for Consulting, Deployment, and Support and Maintenance Services to Increase Adoption of Professional Services

7 Market, By Technology (Page No. - 56)
    7.1 Introduction
    7.2 Machine Learning and Deep Learning
           7.2.1 Need for Automating Communication to Deliver Seamless Personalized Customer Experience
    7.3 Natural Language Processing
           7.3.1 Natural Language Processing Offers Self-Service Assistance to Provide Efficiency, Flexibility, and Customer Satisfaction
    7.4 Automated Speech Recognition
           7.4.1 Growing Need to Recognize Human Voice for Effective Handling of Queries

8 Market, By Deployment Model (Page No. - 60)
    8.1 Introduction
    8.2 On-Premises
           8.2.1 Data Privacy and Security to Accelerate Adoption of On-Premises Chatbot Solutions
    8.3 Cloud
           8.3.1 Adoption of Cloud-Based Deployment Model for Chatbot Solutions to Rise in Future

9 Chatbot Market, By Usage (Page No. - 64)
    9.1 Introduction
    9.2 Websites
           9.2.1 Web-Based Chatbots Help Up-Sell and Cross-Sell Products and Services to Drive Additional Revenue
    9.3 Contact Centers
           9.3.1 Chatbots Improve Customer Experience and Loyalty, Operational Metrics, and Multiple Interaction Channels in Contact Centers
    9.4 Social Media
           9.4.1 Integration of Chatbots With Social Media Network Platforms Empowers Organizations to Deliver Faster and Personalized Experience to Clients
    9.5 Mobile Platform
           9.5.1 Chatbots in Mobile Platform Offer Better User Interface and Experience, 24/7 Assistance, and Interactive Experience in Human Language

10 Market, By Organization Size (Page No. - 70)
     10.1 Introduction
     10.2 Large Enterprises
             10.2.1 Ability to Handle Queries in Multiple Languages to Increase Adoption of Chatbots Among Large Enterprises
     10.3 Small and Medium-Sized Enterprises
             10.3.1 Capability to Reduce Time Spent in Repetitive Tasks to Accelerate Adoption of Chatbots

11 Chatbot Market, By Application (Page No. - 74)
     11.1 Introduction
     11.2 Customer Support
             11.2.1 Increasing Organizational Focus Toward Rapid Response to Customer Queries to Pave the Way for Chatbot Adoption Among Various Industry Verticals
     11.3 Personal Assistant
             11.3.1 Personal Assistants to Become Crucial to Support Basic Applications
     11.4 Branding and Advertisement
             11.4.1 Increasing Need to Create Brand Awareness to Drive Adoption of Chatbot Solutions
     11.5 Customer Engagement and Retention
             11.5.1 Growing Need to Deliver Personalized Experience Throughout Customer Journey to Drive Adoption of Customer Engagement and Retention Application
     11.6 Data Privacy and Compliance
             11.6.1 Need for Safeguarding Customer Data to Create Demand for Compliance Tools
     11.7 On-Boarding and Employee Engagement
             11.7.1 Use of Chatbots to Enhance Efficiency of Hr Business Function to Drive Adoption of On-Boarding and Employee Engagement Application
     11.8 Others

12 Chatbot Market, By Vertical (Page No. - 83)
     12.1 Introduction
     12.2 Banking, Financial Services, and Insurance
             12.2.1 Technologies Such as AI and ML to Provide Banking and Financial Industry a Platform for Extended Customer Engagement
     12.3 Retail and Ecommerce
             12.3.1 Chatbots� Growing use for Retaining Customers, Collecting Feedback, and Driving Sales to Drive Their Adoption in Retail and Ecommerce Vertical
     12.4 Healthcare
             12.4.1 Chatbots Enable Medical Professionals to Manage Patient Data and Medication, Help During Emergencies, and Provide First AId
     12.5 Travel and Hospitality
             12.5.1 Chatbots Enable Enhanced Guest or Passenger Services in Travel and Hospitality Vertical
     12.6 Media and Entertainment
             12.6.1 Multiple Industry-Driven Chatbot Initiatives of Governments to Drive Adoption of Chatbot Solutions in Media and Entertainment Vertical
     12.7 Telecommunications
             12.7.1 AI-Enabled Chatbots Would Help Improve Contact Center Effectiveness and Increase Roi in the Telecommunications Vertical
     12.8 Others

13 Chatbot Market, By Region (Page No. - 92)
     13.1 Introduction
     13.2 North America
             13.2.1 United States
                       13.2.1.1 Growing Integration of AI- and ML-Based Solutions With Chatbots to Enhance Customer Experience Driving Their Demand in the US
             13.2.2 Canada
                       13.2.2.1 Increase in AI Research Activities and Industry Collaborations to Boost the Adoption of Chatbots in Canada
     13.3 Europe
             13.3.1 United Kingdom
                       13.3.1.1 Government Support in Terms of Investments and Initiatives to Fuel the Adoption of Chatbots in the UK
             13.3.2 Germany
                       13.3.2.1 Increasing Adoption of Chatbot Solutions Across Major Verticals to Drive the Market Growth in Germany
             13.3.3 France
                       13.3.3.1 Focus on R&D and Heavy Investments From the Government and Investors to Drive the Growth of Market in France
             13.3.4 Rest of Europe
     13.4 Asia Pacific
             13.4.1 China
                       13.4.1.1 Increasing Investments in the AI Landscape to Drive the Adoption of Chatbot Solutions in China
             13.4.2 Japan
                       13.4.2.1 Rising Intelligent Virtual Agents in the Telecom Vertical to Fuel Adoption of Chatbot Solutions in Japan
             13.4.3 India
                       13.4.3.1 Increase in Investments Among Startups and Push From the Government to Boost the Growth of Chatbot Market in India
             13.4.4 Singapore
                       13.4.4.1 Growing Deployment By Government as Well as Private Organizations to Boost the Growth of Market in Singapore
             13.4.5 Rest of Asia Pacific
     13.5 Middle East and Africa
             13.5.1 Middle East
                       13.5.1.1 Government Initiatives and the Growth of AI-Based Startups to Drive the Growth of Market in the Middle East
             13.5.2 Africa
                       13.5.2.1 Growing Need to Enhance Customer Service to Drive the Adoption of Chatbots in Africa
     13.6 Latin America
             13.6.1 Brazil
                       13.6.1.1 Emerging Startups in Brazil to Drive the Growth of Market
             13.6.2 Mexico
                       13.6.2.1 Growing Demand for AI-Based Technologies to Fuel the Adoption of Chatbot Solutions in Mexico
             13.6.3 Rest of Latin America

14 Competitive Landscape (Page No. - 149)
     14.1 Introduction
     14.2 Competitive Leadership Mapping
             14.2.1 Visionary Leaders
             14.2.2 Innovators
             14.2.3 Dynamic Differentiators
             14.2.4 Emerging Companies
     14.3 Strength of Product Portfolio
     14.4 Business Strategy Excellence

15 Company Profiles (Page No. - 153)
     15.1 Introduction
(Business Overview, Platforms, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
     15.2 IBM
     15.3 Nuance Communications
     15.4 Google
     15.5 AWS
     15.6 Artificial Solutions
     15.7 Inbenta Technologies
     15.8 [24]7.ai
     15.9 Chatfuel
     15.10 AIVO
     15.11 Botsify
     15.12 Passage AI
     15.13 Kore.AI
     15.14 KeyReply
     15.15 SmartBots.AI
     15.16 Contus
     15.17 Yellow Messenger
     15.18 CogniCor Technologies
     15.19 Conversica
     15.20 Gupshup
     15.21 Kevit
     15.22 Yekaliva

*Details on Business Overview, Platforms, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not be Captured in Case of Unlisted Companies.

16 Appendix (Page No. - 184)
     16.1 Industry Excerpts
     16.2 Discussion Guide
     16.3 Knowledge Store: Marketsandmarkets� Subscription Portal
     16.4 Available Customizations
     16.5 Related Reports
     16.6 Author Details

List of Tables (134 Tables)

Table 1 United States Dollar Exchange Rate, 2016�2018
Table 2 Factor Analysis
Table 3 Global Market Size and Growth Rate, 2017�2024 (USD Million and Y-O-Y %)
Table 4 Chatbot Market Size, By Component, 2017�2024 (USD Million)
Table 5 Solutions: Market Size By Type, 2017�2024 (USD Million)
Table 6 Services: Market Size By Type, 2017�2024 (USD Million)
Table 7 Market Size, By Technology, 2017�2024 (USD Million)
Table 8 Market Size By Deployment Model, 2017-2024 (Million)
Table 9 On-Premises: Market Size By Region, 2017-2024 (Million)
Table 10 Cloud: Market Size By Region, 2017-2024 (Million)
Table 11 Market Size, By Usage, 2017�2024 (USD Million)
Table 12 Websites: Market Size By Region, 2017�2024 (USD Million)
Table 13 Contact Centers: Market Size By Region, 2017�2024 (USD Million)
Table 14 Social Media: Market Size By Region, 2017�2024 (USD Million)
Table 15 Mobile Platform: Market Size By Region, 2017�2024 (USD Million)
Table 16 Market Size, By Organization Size, 2017�2024 (USD Million)
Table 17 Large Enterprises: Market Size By Region, 2017�2024 (USD Million)
Table 18 Small and Medium-Sized Enterprises: Market Size By Region, 2017�2024 (USD Million)
Table 19 Chatbot Market Size By Application, 2017�2024 (USD Million)
Table 20 Customer Support: Market Size By Region, 2017�2024 (USD Million)
Table 21 Personal Assistant: Market Size By Region, 2017�2024 (USD Million)
Table 22 Branding and Advertisement: Market Size By Region, 2017�2024 (USD Million)
Table 23 Customer Engagement and Retention: Market Size By Region, 2017�2024 (USD Million)
Table 24 Data Privacy and Compliance: Market Size By Region, 2017�2024 (USD Million)
Table 25 On-Boarding and Employee Engagement: Market Size By Region, 2017�2024 (USD Million)
Table 26 Other Applications: Market Size By Region, 2017�2024 (USD Million)
Table 27 Market Size, By Vertical, 2017�2024 (USD Million)
Table 28 Banking, Financial Services, and Insurance: Market Size By Region, 2017�2024 (USD Million)
Table 29 Retail and Ecommerce: Market Size, By Region, 2017�2024 (USD Million)
Table 30 Healthcare: Chatbot Market Size, By Region, 2017�2024 (USD Million)
Table 31 Travel and Hospitality: Market Size By Region, 2017�2024 (USD Million)
Table 32 Media and Entertainment: Market Size By Region, 2017�2024 (USD Million)
Table 33 Telecommunications: Market Size By Region, 2017�2024 (USD Million)
Table 34 Other Verticals: Market Size By Region, 2017�2024 (USD Million)
Table 35 Market Size, By Region, 2017�2024 (USD Million)
Table 36 Market Size By Country, 2017�2024 (USD Million)
Table 37 North America: Chatbot Market Size, By Component, 2017�2024 (USD Million)
Table 38 North America: Market Size By Solution, 2017�2024 (USD Million)
Table 39 North America: Market Size By Service, 2017�2024 (USD Million)
Table 40 North America: Market Size By Technology, 2017�2024 (USD Million)
Table 41 North America: Market Size By Deployment Model, 2017�2024 (USD Million)
Table 42 North America: Market Size By Usage, 2017�2024 (USD Million)
Table 43 North America: Market Size By Organization Size, 2017�2024 (USD Million)
Table 44 North America: Market Size By Application, 2017�2024 (USD Million)
Table 45 North America: Market Size By Vertical, 2017�2024 (USD Million)
Table 46 North America: Market Size By Country, 2017�2024 (USD Million)
Table 47 United States: Chatbot Market Size, By Organization Size, 2017�2024 (USD Million)
Table 48 United States: Market Size By Application, 2017�2024 (USD Million)
Table 49 United States: Market Size By Vertical, 2017�2024 (USD Million)
Table 50 Canada: Market Size By Organization Size, 2017�2024 (USD Million)
Table 51 Canada: Market Size By Application, 2017�2024 (USD Million)
Table 52 Canada: Market Size, By Vertical, 2017�2024 (USD Million)
Table 53 Europe: Market Size, By Component, 2017�2024 (USD Million)
Table 54 Europe: Chatbot Market Size, By Solution, 2017�2024 (USD Million)
Table 55 Europe: Market Size By Service, 2017�2024 (USD Million)
Table 56 Europe: Market Size By Technology, 2017�2024 (USD Million)
Table 57 Europe: Market Size By Deployment Model, 2017�2024 (USD Million)
Table 58 Europe: Market Size By Usage, 2017�2024 (USD Million)
Table 59 Europe: Market Size By Organization Size, 2017�2024 (USD Million)
Table 60 Europe: Market Size By Application, 2017�2024 (USD Million)
Table 61 Europe: Market Size By Vertical, 2017�2024 (USD Million)
Table 62 Europe: Market Size By Country, 2017�2024 (USD Million)
Table 63 United Kingdom: Chatbot Market Size, By Organization Size, 2017�2024 (USD Million)
Table 64 United Kingdom: Market Size By Application, 2017�2024 (USD Million)
Table 65 United Kingdom: Market Size By Vertical, 2017�2024 (USD Million)
Table 66 Germany: Market Size, By Organization Size, 2017�2024 (USD Million)
Table 67 Germany: Market Size By Application, 2017�2024 (USD Million)
Table 68 Germany: Market Size By Vertical, 2017�2024 (USD Million)
Table 69 France: Chatbot Market Size, By Organization Size, 2017�2024 (USD Million)
Table 70 France: Market Size By Application, 2017�2024 (USD Million)
Table 71 France: Market Size By Vertical, 2017�2024 (USD Million)
Table 72 Rest of Europe: Market Size, By Organization Size, 2017�2024 (USD Million)
Table 73 Rest of Europe: Market Size By Application, 2017�2024 (USD Million)
Table 74 Rest of Europe: Market Size By Vertical, 2017�2024 (USD Million)
Table 75 Asia Pacific: Chatbot Market Size, By Component, 2017�2024 (USD Million)
Table 76 Asia Pacific: Market Size By Solution, 2017�2024 (USD Million)
Table 77 Asia Pacific: Market Size By Service, 2017�2024 (USD Million)
Table 78 Asia Pacific: Market Size By Technology, 2017�2024 (USD Million)
Table 79 Asia Pacific: Chatbot Market Size, By Deployment Model, 2017�2024 (USD Million)
Table 80 Asia Pacific: Market Size By Usage, 2017�2024 (USD Million)
Table 81 Asia Pacific: Market Size By Organization Size, 2017�2024 (USD Million)
Table 82 Asia Pacific: Market Size By Application, 2017�2024 (USD Million)
Table 83 Asia Pacific: Market Size By Vertical, 2017�2024 (USD Million)
Table 84 Asia Pacific: Market Size By Country, 2017�2024 (USD Million)
Table 85 China: Chatbot Market Size, By Organization Size, 2017�2024 (USD Million)
Table 86 China: Market Size By Application, 2017�2024 (USD Million)
Table 87 China: Market Size By Vertical, 2017�2024 (USD Million)
Table 88 Japan: Market Size By Organization Size, 2017�2024 (USD Million)
Table 89 Japan: Market Size By Application, 2017�2024 (USD Million)
Table 90 Japan: Market Size By Vertical, 2017�2024 (USD Million)
Table 91 India: Market Size, By Organization Size, 2017�2024 (USD Million)
Table 92 India: Market Size By Application, 2017�2024 (USD Million)
Table 93 India: Market Size By Vertical, 2017�2024 (USD Million)
Table 94 Singapore: Chatbot Market Size, By Organization Size, 2017�2024 (USD Million)
Table 95 Singapore: Market Size By Application, 2017�2024 (USD Million)
Table 96 Singapore: Market Size By Vertical, 2017�2024 (USD Million)
Table 97 Rest of Asia Pacific: Chatbot Market Size, By Organization Size, 2017�2024 (USD Million)
Table 98 Rest of Asia Pacific: Market Size By Application, 2017�2024 (USD Million)
Table 99 Rest of Asia Pacific: Market Size By Vertical, 2017�2024 (USD Million)
Table 100 Middle East and Africa: Chatbot Market Size, By Component, 2017�2024 (USD Million)
Table 101 Middle East and Africa: Market Size By Solution, 2017�2024 (USD Million)
Table 102 Middle East and Africa: Market Size By Service, 2017�2024 (USD Million)
Table 103 Middle East and Africa: Market Size By Technology, 2017�2024 (USD Million)
Table 104 Middle East and Africa: Market Size By Deployment Model, 2017�2024 (USD Million)
Table 105 Middle East and Africa: Market Size By Usage, 2017�2024 (USD Million)
Table 106 Middle East and Africa: Market Size By Organization Size, 2017�2024 (USD Million)
Table 107 Middle East and Africa: Market Size By Application, 2017�2024 (USD Million)
Table 108 Middle East and Africa: Market Size By Vertical, 2017�2024 (USD Million)
Table 109 Middle East and Africa: Market Size By Country, 2017�2024 (USD Million)
Table 110 Middle East: Market Size, By Organization Size, 2017�2024 (USD Million)
Table 111 Middle East: Market Size By Application, 2017�2024 (USD Million)
Table 112 Middle East: Market Size By Vertical, 2017�2024 (USD Million)
Table 113 Africa: Market Size, By Organization Size, 2017�2024 (USD Million)
Table 114 Africa: Market Size By Application, 2017�2024 (USD Million)
Table 115 Africa: Market Size By Vertical, 2017�2024 (USD Million)
Table 116 Latin America: Chatbot Market Size, By Component, 2017�2024 (USD Million)
Table 117 Latin America: Market Size By Solution, 2017�2024 (USD Million)
Table 118 Latin America: Market Size By Service, 2017�2024 (USD Million)
Table 119 Latin America: Market Size By Technology, 2017�2024 (USD Million)
Table 120 Latin America: Market Size, By Deployment Model, 2017�2024 (USD Million)
Table 121 Latin America: Market Size By Usage, 2017�2024 (USD Million)
Table 122 Latin America: Market Size By Organization Size, 2017�2024 (USD Million)
Table 123 Latin America: Market Size By Application, 2017�2024 (USD Million)
Table 124 Latin America: Market Size By Vertical, 2017�2024 (USD Million)
Table 125 Latin America: Market Size By Country, 2017�2024 (USD Million)
Table 126 Brazil: Chatbot Market Size, By Organization Size, 2017�2024 (USD Million)
Table 127 Brazil: Market Size By Application, 2017�2024 (USD Million)
Table 128 Brazil: Market Size By Vertical, 2017�2024 (USD Million)
Table 129 Mexico: Market Size By Organization Size, 2017�2024 (USD Million)
Table 130 Mexico: Market Size, By Application, 2017�2024 (USD Million)
Table 131 Mexico: Market Size, By Vertical, 2017�2024 (USD Million)
Table 132 Rest of Latin America: Chatbot Market Size, By Organization Size, 2017�2024 (USD Million)
Table 133 Rest of Latin America: Market Size By Application, 2017�2024 (USD Million)
Table 134 Rest of Latin America: Market Size By Vertical, 2017�2024 (USD Million)

List of Figures (45 Figures)

Figure 1 Chatbot Market: Research Design
Figure 2 Market: Top-Down and Bottom-Up Approaches
Figure 3 Solutions Segment to Account for a Larger Market Size in 2019
Figure 4 Software Segment to Account for a Higher Market Share in 2019
Figure 5 Managed Services Segment to Account for a Larger Market Size in 2019
Figure 6 Large Enterprises to Account for a Higher Market Share in 2019
Figure 7 Customer Engagement and Retention Segment to Account for the Largest Market Size in 2019
Figure 8 Banking, Financial Services, and Insurance to Hold the Largest Market Size During the Forecast Period
Figure 9 Asia Pacific to Account for the Highest CAGR During the Forecast Period
Figure 10 Growing Need to Offer 24*7 Enhanced Customer Support Services to Drive the Growth of the Chatbot Market
Figure 11 Personal Assistants to Grow at the Highest Rate During the Forecast Period
Figure 12 BFSI Vertical and North America to Account for the Highest Market Shares in Market in 2019
Figure 13 North America to Hold the Highest Market Share in 2019
Figure 14 Asia Pacific to be the Best Region for Investments During the Forecast Period
Figure 15 Chatbot Market: Drivers, Restraints, Opportunities, and Challenges
Figure 16 Usage of Artificial Intelligence-Based Chatbots Among Service Organizations
Figure 17 Services Segment to Register a Higher CAGR During the Forecast Period
Figure 18 Software Segment to Grow at a Higher CAGR During the Forecast Period
Figure 19 Managed Services Segment to Register a Higher CAGR During the Forecast Period
Figure 20 Machine Learning and Deep Learning Segment to Register the Highest CAGR During the Forecast Period
Figure 21 Cloud Segment to Grow at a Higher CAGR During the Forecast Period
Figure 22 Social Media Segment to Grow at the Highest CAGR During the Forecast Period
Figure 23 Small and Medium-Sized Enterprises to Witness a Higher Growth Rate During the Forecast Period
Figure 24 Personal Assistant Segment to Grow at the Highest CAGR During the Forecast Period
Figure 25 Retail and Ecommerce Vertical to Grow at the Highest CAGR During the Forecast Period
Figure 26 North America to Account for the Largest Market Size During the Forecast Period
Figure 27 Asia Pacific to Account for the Highest CAGR During the Forecast Period
Figure 28 India to Account for the Highest CAGR During the Forecast Period
Figure 29 North America: Market Snapshot
Figure 30 Personal Assistant Segment to Register the Highest CAGR During the Forecast Period
Figure 31 Personal Assistant Segment to Grow at the Highest CAGR During the Forecast Period in Europe
Figure 32 Asia Pacific: Market Snapshot
Figure 33 Customer Engagement and Retention Segment to Hold the Largest Market Size During the Forecast Period
Figure 34 Personal Assistant Segment to Grow at the Highest CAGR During the Forecast Period in Middle East and Africa
Figure 35 Personal Assistant Segment to Grow at the Highest CAGR During the Forecast Period in Latin America
Figure 36 Chatbot Market (Global) Competitive Leadership Mapping, 2019
Figure 37 IBM: Company Snapshot
Figure 38 IBM: SWOT Analysis
Figure 39 Nuance Communications: Company Snapshot
Figure 40 Nuance Communications: SWOT Analysis
Figure 41 Google: Company Snapshot
Figure 42 Google: SWOT Analysis
Figure 43 AWS: Company Snapshot
Figure 44 AWS: SWOT Analysis
Figure 45 Artificial Solutions: SWOT Analysis:

The study involved 4 major activities in estimating the current market size of the chatbot market. An extensive secondary research was done to collect information on the market, peer market, and the 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 market.

Secondary Research

In the secondary research process, various secondary sources, such as D&B Hoovers and Bloomberg, BusinessWeek, Dun Bradstreet, and Factiva have been referred to for identifying and collecting information for this study. 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; Research and Development (R&D) organizations; regulatory bodies; and databases. Journals, repositories, and resources from the Journal of A Study of Today�s A.I. through Chatbots and Rediscovery of Machine Intelligence, and Interdisciplinary Advances in Adaptive and Intelligent Assistant Systems were referred to understand the integration of chatbot.

Primary Research

Various primary sources from both the supply and demand sides of the chatbot market were interviewed to obtain qualitative and quantitative information for this study. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), technology and innovation directors, and related key executives from various vendors offering chatbot solutions, associated service providers, and system integrators 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 primary profiles:

Chatbots Market

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 market. The bottom-up approach was used to arrive at the overall market size of the global 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 percentage, shares split, 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.

Report Objectives

To define, segment, and project the global chatbot market size
To understand the structure of the market by identifying its various subsegments
To provide detailed information about key factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
To analyze the micromarkets concerning individual growth trends, prospects, and their contribution to the overall market
To project the size of the market and its submarkets, in terms of value, for the 5 regions (along with their respective key countries)
To profile key players and comprehensively analyze their core competencies
To understand the competitive landscape and identify significant growth strategies adopted by players across key regions
To analyze competitive developments, such as expansions and fundings, new product launches, mergers and acquisitions, strategic partnerships and agreements 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: