According to a global survey from 2024, the age group 25 to 34 is most likely to use chatbots when visiting brand websites. Approximately ** percent of users within this age group utilized chatbots on a direct-to-consumer (D2C) site. The age group between 35 and 44 ranked second, with nearly ** percent of respondents. Those aged 55 and 64 were the least likely to use this type of software application.

According to a 2024 survey, over eight in ten Spanish consumers would engage with chatbots powered with generative AI technology to receive support. Italians followed with ** percent while another ** percent of Irish shoppers would use Gen AI chatbots for an element of customer service.

According to a global 2022 survey, Indian consumers appreciated customer service via chatbots the most, with ** percent of them finding it useful when shopping on mobile devices. Respondents from the United Arab Emirates and Indonesia followed with ** percent each, while ** percent of Mexican shoppers had the same opinion. Scandinavian respondents showed the biggest skepticism regarding the use of this AI tool in mobile shopping, as only * percent of consumers in both Denmark and Sweden valued chatbots. Chatbots drive conversational commerce By simulating natural language, chatbots go under so-called conversational commerce, a shopping channel expected to generate increasing revenue in the upcoming years. All players, from marketplaces to online e-commerce brands, implemented chatbots to automate pre-and post-sale services. In Europe, one in five direct-to-consumer (D2C) e-commerce companies planned to invest in Artificial Intelligence (AI) and chatbots, a survey from 2022 revealed. Messaging apps in conversational commerce Even more than chatbots, established messaging apps such as WhatsApp or chat apps connected to social media are the main tools for conversational commerce. In Southeast Asia, ** percent of online consumers used Facebook for this type of shopping in 2022. Besides product recommendations, messaging apps are used for information on delivery as an alternative to email or SMS. In 2021, WhatsApp remained the*********** preferred channel for delivery notifications in Europe.

Introduction

Conversational Commerce Statistics: Conversational commerce is transforming consumer-brand interactions through the use of messaging apps, chatbots, and voice assistants. The idea is to develop real-time, independent, and interactive communication to provide a seamless transition from online browsing to decision-making for purchasing.

In 2024, it will become an essential component of any digital commerce strategy worldwide. This article will indicate the key conversational commerce statistics and their trends.

The Chatbot Market report segments the industry into End-User Vertical (BFSI, Healthcare, IT and Telecommunication, Retail, Travel and Hospitality, Other End-user Verticals) and Geography (North America, Europe, Asia, Australia and New Zealand, Latin America, Middle East and Africa). Get five years of historical data alongside five-year market forecasts.

Get insights through powerful and well researched Chatbot Statistics that you need get through before implementing chatbot in 2025 for your business

The chatbot market size is projected to grow from $ 5.84 billion in 2024 to $61.97 billion by 2035, representing a CAGR of 23.94% during the forecast period 2024-2035.

The global chatbot market size stood at a value of around USD 839.33 Million in 2024. The market is further expected to grow at a CAGR of 24.90% in the forecast period of 2025-2034 to attain a value of USD 7754.56 Million by 2034. The global chatbot market size is rapidly expanding due to several key factors. The increasing adoption of artificial intelligence (AI) and machine learning technologies is driving advancements in chatbot capabilities, enhancing customer interactions across various sectors, especially in e-commerce. Businesses are leveraging chatbots for customer support, which improves service efficiency and reduces operational costs. Moreover, natural language processing (NLP) enables chatbots to provide more human-like conversations, improving user experience. The growing need for automation and better customer engagement is pushing organizations to adopt chatbots, boosting sales and overall business performance. However, data privacy concerns remain a challenge, as ensuring secure transactions and safeguarding user information is critical. With the rising demand for personalized services and 24/7 support, the chatbot industry is poised for significant growth in the coming years.

This dataset contains responses from a survey conducted for a master's thesis at Erasmus University Rotterdam. The survey investigated how consumer perceptions of privacy and trust in interactions with centralized versus decentralized AI-powered chatbots influence customer satisfaction. The survey included a predetermined simulated conversation with an AI-powered chatbot.Purpose of the Study:The main research question addressed in this study is: "How do consumer perceptions of privacy and trust in interactions with centralized versus decentralized AI-powered chatbots influence customer satisfaction?" The study aims to compare the differences in customer satisfaction, privacy concerns, and trust between centralized and decentralized AI-powered chatbots.Data Description:This dataset includes responses from 175 participants after data cleaning and removal of incomplete and biased responses. Participants were randomly assigned to one of three groups:Unaware of the chatbot typeInformed they would interact with a centralized chatbotInformed they would interact with a decentralized chatbotVariables:Customer Satisfaction: Measured with Likert scale questions on a 5-point scale from Strongly disagree to Strongly agree.Consumer Privacy Concerns: Measured with Likert scale questions on a 5-point scale from Strongly disagree to Strongly agree.Consumer Trust in AI-Powered Chatbots: Measured with Likert scale questions on a 5-point scale from Strongly disagree to Strongly agree.Consumer AI Familiarity: Measured with Likert scale questions regarding prior usage and understanding of AI technology on a 5-point scale from Strongly disagree to Strongly agree.Demographic Information: Age group, gender, highest education finished, nationality, and occupation.Chatbot Type: Categorical variable with values: 0 for not aware, 1 for aware of interacting with a centralized chatbot, and 2 for aware of interacting with a decentralized chatbot.Usage Notes:The dataset is provided in a XLSX file format and includes all necessary variables for analysis. The dataset can be used to conduct various statistical analyses, including descriptive statistics, hypothesis testing, and regression analysis.

A survey in October 2022 in the United States found out that ** percent of B2B marketers used chatbots in their demand generation programs to understand their audience better. Another ** percent said that they did so in order to generate new leads. An additional ** percent of American marketers stated that chatbots helped them educate prospects.

The AI Therapy Chatbots market has emerged as a transformative force in mental health care, redefining how individuals access therapeutic support and guidance. As a fusion of artificial intelligence and behavioral therapy, these chatbots serve as readily available mental health companions, offering everything from p

In 2024, a notable portion of consumers showed a preference for interacting with AI-powered chatbots when seeking support. Specifically, almost half of customers used them for scheduling appointments, around 47 percent for help to place orders, and 46 percent when reporting an issue or starting a return. Additionally, about 45 percent turned to chatbots for tech product support.

The Artificial Intelligence (AI) Chatbots market has seen remarkable growth over the past few years, driven by advancements in machine learning and natural language processing. As businesses increasingly turn to digital solutions to enhance customer interactions, AI chatbots stand out as pivotal tools that provide p

Vietnam chatbot market size reached USD 31.2 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 207.1 Million by 2033, exhibiting a growth rate (CAGR) of 18.50% during 2025-2033. The market is being driven by several key factors, including an increasing need for improved customer service, a rising trend in using messaging platforms to offer efficient customer solutions, and a growing uptake of over-the-top (OTT) platforms for streaming movies, series, and documentaries.

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2025-2033. Our report has categorized the market based on type, product, application, organization size, and vertical.

The AI Chatbots for Business and Personal Use market has witnessed significant growth in recent years, fundamentally transforming the way organizations and individuals engage with technology. AI chatbots serve as intelligent virtual assistants, providing quick and efficient solutions to a myriad of queries, from cus

The Chatbots in Healthcare market is rapidly emerging as one of the most transformative segments within the healthcare industry, revolutionizing patient care and operational efficiency. Chatbots, powered by artificial intelligence (AI), are increasingly being deployed in hospitals, clinics, and telehealth services,

One of the reasons behind AI-powered customer service is the preference for conversational AI over phone calls. In 2024, 82 percent of consumers stated they would use a chatbot instead of waiting for a customer representative to take their call. An outstanding 96 percent of surveyed shoppers believed that more companies should opt for chatbots over traditional customer support services.

The Chatbots Software market has witnessed transformative growth over the past few years, evolving into a critical component of customer engagement and operational efficiency across various industries. As businesses increasingly seek to enhance user experiences and streamline interactions, chatbots have emerged as v

Artificial Intelligence Chatbot market size is projected to grow from USD 8.13 billion in 2025 to USD 29.84 billion by 2034, exhibiting a CAGR of 17.65%.

The AI Chatbot market is experiencing unprecedented growth, driven by the increasing demand for enhanced customer engagement and operational efficiency across various industries. As businesses seek to offer round-the-clock customer support and tailor interactions to individual needs, AI chatbots have become essentia