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Home > Chatbots Software - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Chatbots Software - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID: 
PB509248599
Publication Date: 
September 26, 2024
Pages: 
103
Publisher: 
MRRPB5
Countries: 
Global [1]
USD 3,950.00

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IT Services [2]
Computing & Electronics [3]
Description: 

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 market for Chatbots Software was estimated to be worth US$ 533 million in 2023 and is forecast to a readjusted size of US$ 1369.5 million by 2030 with 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鈥檚 intelligence and performance.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Chatbots Software, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Chatbots Software by region & country, by Type, and by Application.
The Chatbots Software market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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.
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
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Chatbots Software manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Chatbots Software in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Chatbots Software in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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Table Of Contents: 

1 Market Overview
1.1 Chatbots Software Product Introduction
1.2 Global Chatbots Software Market Size Forecast
1.3 Chatbots Software Market Trends & Drivers
1.3.1 Chatbots Software Industry Trends
1.3.2 Chatbots Software Market Drivers & Opportunity
1.3.3 Chatbots Software Market Challenges
1.3.4 Chatbots Software Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Chatbots Software Players Revenue Ranking (2023)
2.2 Global Chatbots Software Revenue by Company (2019-2024)
2.3 Key Companies Chatbots Software Manufacturing Base Distribution and Headquarters
2.4 Key Companies Chatbots Software Product Offered
2.5 Key Companies Time to Begin Mass Production of Chatbots Software
2.6 Chatbots Software Market Competitive Analysis
2.6.1 Chatbots Software Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Chatbots Software Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Chatbots Software as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Cloud Based
3.1.2 Web Based
3.2 Global Chatbots Software Sales Value by Type
3.2.1 Global Chatbots Software Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Chatbots Software Sales Value, by Type (2019-2030)
3.2.3 Global Chatbots Software Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Large Enterprises
4.1.2 SMEs
4.2 Global Chatbots Software Sales Value by Application
4.2.1 Global Chatbots Software Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Chatbots Software Sales Value, by Application (2019-2030)
4.2.3 Global Chatbots Software Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Chatbots Software Sales Value by Region
5.1.1 Global Chatbots Software Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Chatbots Software Sales Value by Region (2019-2024)
5.1.3 Global Chatbots Software Sales Value by Region (2025-2030)
5.1.4 Global Chatbots Software Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Chatbots Software Sales Value, 2019-2030
5.2.2 North America Chatbots Software Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Chatbots Software Sales Value, 2019-2030
5.3.2 Europe Chatbots Software Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Chatbots Software Sales Value, 2019-2030
5.4.2 Asia Pacific Chatbots Software Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Chatbots Software Sales Value, 2019-2030
5.5.2 South America Chatbots Software Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Chatbots Software Sales Value, 2019-2030
5.6.2 Middle East & Africa Chatbots Software Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Chatbots Software Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Chatbots Software Sales Value
6.3 United States
6.3.1 United States Chatbots Software Sales Value, 2019-2030
6.3.2 United States Chatbots Software Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Chatbots Software Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Chatbots Software Sales Value, 2019-2030
6.4.2 Europe Chatbots Software Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Chatbots Software Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Chatbots Software Sales Value, 2019-2030
6.5.2 China Chatbots Software Sales Value by Type (%), 2023 VS 2030
6.5.3 China Chatbots Software Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Chatbots Software Sales Value, 2019-2030
6.6.2 Japan Chatbots Software Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Chatbots Software Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Chatbots Software Sales Value, 2019-2030
6.7.2 South Korea Chatbots Software Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Chatbots Software Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Chatbots Software Sales Value, 2019-2030
6.8.2 Southeast Asia Chatbots Software Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Chatbots Software Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Chatbots Software Sales Value, 2019-2030
6.9.2 India Chatbots Software Sales Value by Type (%), 2023 VS 2030
6.9.3 India Chatbots Software Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Intercom
7.1.1 Intercom Profile
7.1.2 Intercom Main Business
7.1.3 Intercom Chatbots Software Products, Services and Solutions
7.1.4 Intercom Chatbots Software Revenue (US$ Million) & (2019-2024)
7.1.5 Intercom Recent Developments
7.2 Drift
7.2.1 Drift Profile
7.2.2 Drift Main Business
7.2.3 Drift Chatbots Software Products, Services and Solutions
7.2.4 Drift Chatbots Software Revenue (US$ Million) & (2019-2024)
7.2.5 Drift Recent Developments
7.3 Zendesk
7.3.1 Zendesk Profile
7.3.2 Zendesk Main Business
7.3.3 Zendesk Chatbots Software Products, Services and Solutions
7.3.4 Zendesk Chatbots Software Revenue (US$ Million) & (2019-2024)
7.3.5 IBM Recent Developments
7.4 IBM
7.4.1 IBM Profile
7.4.2 IBM Main Business
7.4.3 IBM Chatbots Software Products, Services and Solutions
7.4.4 IBM Chatbots Software Revenue (US$ Million) & (2019-2024)
7.4.5 IBM Recent Developments
7.5 ManyChat
7.5.1 ManyChat Profile
7.5.2 ManyChat Main Business
7.5.3 ManyChat Chatbots Software Products, Services and Solutions
7.5.4 ManyChat Chatbots Software Revenue (US$ Million) & (2019-2024)
7.5.5 ManyChat Recent Developments
7.6 Aivo
7.6.1 Aivo Profile
7.6.2 Aivo Main Business
7.6.3 Aivo Chatbots Software Products, Services and Solutions
7.6.4 Aivo Chatbots Software Revenue (US$ Million) & (2019-2024)
7.6.5 Aivo Recent Developments
7.7 Activechat.ai
7.7.1 Activechat.ai Profile
7.7.2 Activechat.ai Main Business
7.7.3 Activechat.ai Chatbots Software Products, Services and Solutions
7.7.4 Activechat.ai Chatbots Software Revenue (US$ Million) & (2019-2024)
7.7.5 Activechat.ai Recent Developments
7.8 Alfred AI
7.8.1 Alfred AI Profile
7.8.2 Alfred AI Main Business
7.8.3 Alfred AI Chatbots Software Products, Services and Solutions
7.8.4 Alfred AI Chatbots Software Revenue (US$ Million) & (2019-2024)
7.8.5 Alfred AI Recent Developments
7.9 BOTNATION AI
7.9.1 BOTNATION AI Profile
7.9.2 BOTNATION AI Main Business
7.9.3 BOTNATION AI Chatbots Software Products, Services and Solutions
7.9.4 BOTNATION AI Chatbots Software Revenue (US$ Million) & (2019-2024)
7.9.5 BOTNATION AI Recent Developments
7.10 ChipBot
7.10.1 ChipBot Profile
7.10.2 ChipBot Main Business
7.10.3 ChipBot Chatbots Software Products, Services and Solutions
7.10.4 ChipBot Chatbots Software Revenue (US$ Million) & (2019-2024)
7.10.5 ChipBot Recent Developments
7.11 Cisco
7.11.1 Cisco Profile
7.11.2 Cisco Main Business
7.11.3 Cisco Chatbots Software Products, Services and Solutions
7.11.4 Cisco Chatbots Software Revenue (US$ Million) & (2019-2024)
7.11.5 Cisco Recent Developments
7.12 Nina
7.12.1 Nina Profile
7.12.2 Nina Main Business
7.12.3 Nina Chatbots Software Products, Services and Solutions
7.12.4 Nina Chatbots Software Revenue (US$ Million) & (2019-2024)
7.12.5 Nina Recent Developments
7.13 Quriobot
7.13.1 Quriobot Profile
7.13.2 Quriobot Main Business
7.13.3 Quriobot Chatbots Software Products, Services and Solutions
7.13.4 Quriobot Chatbots Software Revenue (US$ Million) & (2019-2024)
7.13.5 Quriobot Recent Developments
7.14 Whisbi
7.14.1 Whisbi Profile
7.14.2 Whisbi Main Business
7.14.3 Whisbi Chatbots Software Products, Services and Solutions
7.14.4 Whisbi Chatbots Software Revenue (US$ Million) & (2019-2024)
7.14.5 Whisbi Recent Developments
8 Industry Chain Analysis
8.1 Chatbots Software Industrial Chain
8.2 Chatbots Software Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Chatbots Software Sales Model
8.5.2 Sales Channel
8.5.3 Chatbots Software Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned: 

Intercom
Drift
Zendesk
IBM
ManyChat
Aivo
Activechat.ai
Alfred AI
BOTNATION AI
ChipBot
Cisco
Nina
Quriobot
Whisbi

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