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Global Chatbots Software Market Research Report 2024
Synopsis
Chatbots software is a type of software that enables customer engagement via messaging, text, or speech. Chatbots use artificial intelligence (AI) and natural language processing (NLP) to understand customer questions and automate responses to them, simulating human conversation. Chatbots can be used for various purposes, such as customer support, marketing, sales, and personal assistance. There are two main types of chatbots: task-oriented chatbots and data-driven chatbots. Task-oriented chatbots are single-purpose programs that focus on performing one function, such as booking a flight or ordering a pizza. Data-driven chatbots are often referred to as virtual assistants or digital assistants, and they are more sophisticated, interactive, and personalized than task-oriented chatbots. Data-driven chatbots can learn from user interactions, provide recommendations, and anticipate needs.
The global Chatbots Software market was valued at US$ 533 million in 2023 and is anticipated to reach US$ 1369.5 million by 2030, witnessing a CAGR of 14.1% during the forecast period 2024-2030.
The chatbot market is expected to grow significantly in the coming years due to the increasing demand for messenger applications, customer analytics, and automation of tasks. Some of the key trends that will shape the future of the chatbot industry are:
Conversational chatbot copy: Chatbots will need to use more natural and engaging language to communicate with users and build trust and rapport. Chatbots will also need to adapt their tone and style based on the context and user preferences.
Rich media chatbots: Chatbots will be able to incorporate more multimedia elements into their conversations, such as images, videos, gifs, emojis, stickers, and audio clips. This will enhance the user experience and make the interactions more fun and interactive.
Payment-enabled chatbots: Chatbots will be able to facilitate transactions within the conversation without redirecting users to other platforms or websites. This will reduce friction and increase conversions for businesses that sell products or services through chatbots.
Post-purchase experiences: Chatbots will be able to provide more value to customers after they make a purchase, such as sending order confirmations, tracking information, delivery notifications, feedback requests, and loyalty rewards. This will improve customer satisfaction and retention.
Click-to-Messenger chatbot ads: Chatbots will be able to leverage social media platforms, such as Facebook and Instagram, to reach potential customers through ads that direct them to a chatbot conversation. This will enable businesses to generate more leads, qualify them, and nurture them through the sales funnel.
Omnichannel chatbot support: Chatbots will be able to provide consistent and seamless service across multiple channels, such as websites, apps, SMS, email, social media, and voice assistants. This will enable businesses to meet customers where they are and provide them with a unified and personalized experience.
Natural language processing: Chatbots will be able to use more advanced NLP and NLU techniques to understand user intents and entities, handle complex dialogs, manage context and ambiguity, and generate natural and relevant responses. This will enhance the chatbot’s intelligence and performance.
This report aims to provide a comprehensive presentation of the global market for Chatbots Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Chatbots Software.
Report Scope
The Chatbots Software market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Chatbots Software market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Chatbots Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Intercom
Drift
Zendesk
IBM
ManyChat
Aivo
Activechat.ai
Alfred AI
BOTNATION AI
ChipBot
Cisco
Nina
Quriobot
Whisbi
Segment by Type
Cloud Based
Web Based
Segment by Application
Large Enterprises
SMEs
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Chatbots Software companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Chatbots software is a type of software that enables customer engagement via messaging, text, or speech. Chatbots use artificial intelligence (AI) and natural language processing (NLP) to understand customer questions and automate responses to them, simulating human conversation. Chatbots can be used for various purposes, such as customer support, marketing, sales, and personal assistance. There are two main types of chatbots: task-oriented chatbots and data-driven chatbots. Task-oriented chatbots are single-purpose programs that focus on performing one function, such as booking a flight or ordering a pizza. Data-driven chatbots are often referred to as virtual assistants or digital assistants, and they are more sophisticated, interactive, and personalized than task-oriented chatbots. Data-driven chatbots can learn from user interactions, provide recommendations, and anticipate needs.
The global Chatbots Software market was valued at US$ 533 million in 2023 and is anticipated to reach US$ 1369.5 million by 2030, witnessing a CAGR of 14.1% during the forecast period 2024-2030.
The chatbot market is expected to grow significantly in the coming years due to the increasing demand for messenger applications, customer analytics, and automation of tasks. Some of the key trends that will shape the future of the chatbot industry are:
Conversational chatbot copy: Chatbots will need to use more natural and engaging language to communicate with users and build trust and rapport. Chatbots will also need to adapt their tone and style based on the context and user preferences.
Rich media chatbots: Chatbots will be able to incorporate more multimedia elements into their conversations, such as images, videos, gifs, emojis, stickers, and audio clips. This will enhance the user experience and make the interactions more fun and interactive.
Payment-enabled chatbots: Chatbots will be able to facilitate transactions within the conversation without redirecting users to other platforms or websites. This will reduce friction and increase conversions for businesses that sell products or services through chatbots.
Post-purchase experiences: Chatbots will be able to provide more value to customers after they make a purchase, such as sending order confirmations, tracking information, delivery notifications, feedback requests, and loyalty rewards. This will improve customer satisfaction and retention.
Click-to-Messenger chatbot ads: Chatbots will be able to leverage social media platforms, such as Facebook and Instagram, to reach potential customers through ads that direct them to a chatbot conversation. This will enable businesses to generate more leads, qualify them, and nurture them through the sales funnel.
Omnichannel chatbot support: Chatbots will be able to provide consistent and seamless service across multiple channels, such as websites, apps, SMS, email, social media, and voice assistants. This will enable businesses to meet customers where they are and provide them with a unified and personalized experience.
Natural language processing: Chatbots will be able to use more advanced NLP and NLU techniques to understand user intents and entities, handle complex dialogs, manage context and ambiguity, and generate natural and relevant responses. This will enhance the chatbot’s intelligence and performance.
This report aims to provide a comprehensive presentation of the global market for Chatbots Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Chatbots Software.
Report Scope
The Chatbots Software market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Chatbots Software market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Chatbots Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Intercom
Drift
Zendesk
IBM
ManyChat
Aivo
Activechat.ai
Alfred AI
BOTNATION AI
ChipBot
Cisco
Nina
Quriobot
Whisbi
Segment by Type
Cloud Based
Web Based
Segment by Application
Large Enterprises
SMEs
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Chatbots Software companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Chatbots Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud Based
1.2.3 Web Based
1.3 Market by Application
1.3.1 Global Chatbots Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Chatbots Software Market Perspective (2019-2030)
2.2 Chatbots Software Growth Trends by Region
2.2.1 Global Chatbots Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Chatbots Software Historic Market Size by Region (2019-2024)
2.2.3 Chatbots Software Forecasted Market Size by Region (2025-2030)
2.3 Chatbots Software Market Dynamics
2.3.1 Chatbots Software Industry Trends
2.3.2 Chatbots Software Market Drivers
2.3.3 Chatbots Software Market Challenges
2.3.4 Chatbots Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Chatbots Software Players by Revenue
3.1.1 Global Top Chatbots Software Players by Revenue (2019-2024)
3.1.2 Global Chatbots Software Revenue Market Share by Players (2019-2024)
3.2 Global Chatbots Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Chatbots Software Revenue
3.4 Global Chatbots Software Market Concentration Ratio
3.4.1 Global Chatbots Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Chatbots Software Revenue in 2023
3.5 Chatbots Software Key Players Head office and Area Served
3.6 Key Players Chatbots Software Product Solution and Service
3.7 Date of Enter into Chatbots Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Chatbots Software Breakdown Data by Type
4.1 Global Chatbots Software Historic Market Size by Type (2019-2024)
4.2 Global Chatbots Software Forecasted Market Size by Type (2025-2030)
5 Chatbots Software Breakdown Data by Application
5.1 Global Chatbots Software Historic Market Size by Application (2019-2024)
5.2 Global Chatbots Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Chatbots Software Market Size (2019-2030)
6.2 North America Chatbots Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Chatbots Software Market Size by Country (2019-2024)
6.4 North America Chatbots Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Chatbots Software Market Size (2019-2030)
7.2 Europe Chatbots Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Chatbots Software Market Size by Country (2019-2024)
7.4 Europe Chatbots Software Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Chatbots Software Market Size (2019-2030)
8.2 Asia-Pacific Chatbots Software Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Chatbots Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Chatbots Software Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Chatbots Software Market Size (2019-2030)
9.2 Latin America Chatbots Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Chatbots Software Market Size by Country (2019-2024)
9.4 Latin America Chatbots Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Chatbots Software Market Size (2019-2030)
10.2 Middle East & Africa Chatbots Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Chatbots Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Chatbots Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Intercom
11.1.1 Intercom Company Detail
11.1.2 Intercom Business Overview
11.1.3 Intercom Chatbots Software Introduction
11.1.4 Intercom Revenue in Chatbots Software Business (2019-2024)
11.1.5 Intercom Recent Development
11.2 Drift
11.2.1 Drift Company Detail
11.2.2 Drift Business Overview
11.2.3 Drift Chatbots Software Introduction
11.2.4 Drift Revenue in Chatbots Software Business (2019-2024)
11.2.5 Drift Recent Development
11.3 Zendesk
11.3.1 Zendesk Company Detail
11.3.2 Zendesk Business Overview
11.3.3 Zendesk Chatbots Software Introduction
11.3.4 Zendesk Revenue in Chatbots Software Business (2019-2024)
11.3.5 Zendesk Recent Development
11.4 IBM
11.4.1 IBM Company Detail
11.4.2 IBM Business Overview
11.4.3 IBM Chatbots Software Introduction
11.4.4 IBM Revenue in Chatbots Software Business (2019-2024)
11.4.5 IBM Recent Development
11.5 ManyChat
11.5.1 ManyChat Company Detail
11.5.2 ManyChat Business Overview
11.5.3 ManyChat Chatbots Software Introduction
11.5.4 ManyChat Revenue in Chatbots Software Business (2019-2024)
11.5.5 ManyChat Recent Development
11.6 Aivo
11.6.1 Aivo Company Detail
11.6.2 Aivo Business Overview
11.6.3 Aivo Chatbots Software Introduction
11.6.4 Aivo Revenue in Chatbots Software Business (2019-2024)
11.6.5 Aivo Recent Development
11.7 Activechat.ai
11.7.1 Activechat.ai Company Detail
11.7.2 Activechat.ai Business Overview
11.7.3 Activechat.ai Chatbots Software Introduction
11.7.4 Activechat.ai Revenue in Chatbots Software Business (2019-2024)
11.7.5 Activechat.ai Recent Development
11.8 Alfred AI
11.8.1 Alfred AI Company Detail
11.8.2 Alfred AI Business Overview
11.8.3 Alfred AI Chatbots Software Introduction
11.8.4 Alfred AI Revenue in Chatbots Software Business (2019-2024)
11.8.5 Alfred AI Recent Development
11.9 BOTNATION AI
11.9.1 BOTNATION AI Company Detail
11.9.2 BOTNATION AI Business Overview
11.9.3 BOTNATION AI Chatbots Software Introduction
11.9.4 BOTNATION AI Revenue in Chatbots Software Business (2019-2024)
11.9.5 BOTNATION AI Recent Development
11.10 ChipBot
11.10.1 ChipBot Company Detail
11.10.2 ChipBot Business Overview
11.10.3 ChipBot Chatbots Software Introduction
11.10.4 ChipBot Revenue in Chatbots Software Business (2019-2024)
11.10.5 ChipBot Recent Development
11.11 Cisco
11.11.1 Cisco Company Detail
11.11.2 Cisco Business Overview
11.11.3 Cisco Chatbots Software Introduction
11.11.4 Cisco Revenue in Chatbots Software Business (2019-2024)
11.11.5 Cisco Recent Development
11.12 Nina
11.12.1 Nina Company Detail
11.12.2 Nina Business Overview
11.12.3 Nina Chatbots Software Introduction
11.12.4 Nina Revenue in Chatbots Software Business (2019-2024)
11.12.5 Nina Recent Development
11.13 Quriobot
11.13.1 Quriobot Company Detail
11.13.2 Quriobot Business Overview
11.13.3 Quriobot Chatbots Software Introduction
11.13.4 Quriobot Revenue in Chatbots Software Business (2019-2024)
11.13.5 Quriobot Recent Development
11.14 Whisbi
11.14.1 Whisbi Company Detail
11.14.2 Whisbi Business Overview
11.14.3 Whisbi Chatbots Software Introduction
11.14.4 Whisbi Revenue in Chatbots Software Business (2019-2024)
11.14.5 Whisbi Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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