In a survey conducted across four Southeast Asian countries in February 2023, ** percent of the respondents in Singapore selected the collection of personal data as one of the concerns they had regarding the usage of chatbots like ChatGPT. In contrast, this was an issue for ** percent of respondents in Indonesia.
In a survey conducted across **** Southeast Asian countries in February 2023, almost half of the respondents selected collection of personal data as one of the concerns they had regarding the usage of chatbots like ChatGPT. In contrast, ethical issues related to data privacy and intellectual property were a concern for ** percent of the respondents.
In January 2024, ChatGPT online domain chat.openai.com registered over **** percent of its traffic as originating in the United States. Users based in India generated approximately **** percent of the total visits to the chatbot platform, while users in Indonesia accounted for *** percent of the total visits to the website. Visits from Brazil represented the fourth-largest group for the platform, generating more than **** percent of the total traffic recorded in the examined period.
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ChatGPT has taken the world by storm, setting a record for the fastest app to reach a 100 million users, which it hit in two months. The implications of this tool are far-reaching, universities...
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A major challenge of our time is reducing disparities in access to and effective use of digital technologies, with recent discussions highlighting the role of AI in exacerbating the digital divide. We examine user characteristics that predict usage of the AI-powered conversational agent ChatGPT. We combine behavioral and survey data in a web tracked sample of N=1376 German citizens to investigate differences in ChatGPT activity (usage, visits, and adoption) during the first 11 months from the launch of the service (November 30, 2022). Guided by a model of technology acceptance (UTAUT-2), we examine the role of socio-demographics commonly associated with the digital divide in ChatGPT activity and explore further socio-political attributes identified via stability selection in Lasso regressions. We confirm that lower age and higher education affect ChatGPT usage, but neither gender nor income do. We find full-time employment and more children to be barriers to ChatGPT activity. Using a variety of social media was positively associated with ChatGPT activity. In terms of political variables, political knowledge and political self-efficacy as well as some political behaviors such as voting, debating political issues online and offline and political action online were all associated with ChatGPT activity, with online political debating and political self-efficacy negatively so. Finally, need for cognition and communication skills such as writing, attending meetings, or giving presentations, were also associated with ChatGPT engagement, though chairing/organizing meetings was negatively associated. Our research informs efforts to address digital disparities and promote digital literacy among underserved populations by presenting implications, recommendations, and discussions on ethical and social issues of our findings.
As of 2023, around ** percent of the global population claim to be aware of ChatGPT. The countries with the highest awareness worldwide were India, Kenya, Indonesia, and Pakistan — all with over ** percent of awareness among the respondents.
ChatGPT is used most widely among those between ** and ** around the world. The youngest group, those under **, are the second largest userbase, and together those under ** account for over ** percent of ChatGPT users. It is perhaps unsurprising that the younger age brackets use the chatbot more than older as that is the common trend with new technologies. Male users were far more numerous than female users, with males representing over ** percent of total users in 2023.
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A major challenge of our time is reducing disparities in access to and effective use of digital technologies, with recent discussions highlighting the role of AI in exacerbating the digital divide. We examine user characteristics that predict usage of the AI-powered conversational agent ChatGPT. We combine behavioral and survey data in a web tracked sample of N=1376 German citizens to investigate differences in ChatGPT activity (usage, visits, and adoption) during the first 11 months from the launch of the service (November 30, 2022). Guided by a model of technology acceptance (UTAUT-2), we examine the role of socio-demographics commonly associated with the digital divide in ChatGPT activity and explore further socio-political attributes identified via stability selection in Lasso regressions. We confirm that lower age and higher education affect ChatGPT usage, but neither gender nor income do. We find full-time employment and more children to be barriers to ChatGPT activity. Using a variety of social media was positively associated with ChatGPT activity. In terms of political variables, political knowledge and political self-efficacy as well as some political behaviors such as voting, debating political issues online and offline and political action online were all associated with ChatGPT activity, with online political debating and political self-efficacy negatively so. Finally, need for cognition and communication skills such as writing, attending meetings, or giving presentations, were also associated with ChatGPT engagement, though chairing/organizing meetings was negatively associated. Our research informs efforts to address digital disparities and promote digital literacy among underserved populations by presenting implications, recommendations, and discussions on ethical and social issues of our findings.
In February 2025, ChatGPT was the most popular artificial intelligence (AI) application worldwide, with over 400.61 million monthly active users (MAU). The ByteDance-owned chatbot Doubao had around 81.91 million MAU, making it the most popular Chinese-based tool of this kind. ChatGPT-operated Nova Assistant ranked third with 62.79 million MAU and was followed by Chinese-based DeepSeek with around 61.81 million MAU.
ChatGPT, an artificial intelligence (AI) powered chatbot, is most used by companies in the technical and education industries, with over *** companies using it in 2023. It is perhaps unsurprising that the technical field has embraced the use of ChatGPT, but it is interesting that so many educational institutes have begun to use it. While other industries do utilize the OpenAI-made chatbot, there are less than *** institutions and companies that use ChatGPT in other industries. This is especially true of agriculture, cultural, and legal industries, where only a single company is using ChatGPT in 2023.
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🧠 Awesome ChatGPT Prompts [CSV dataset]
This is a Dataset Repository of Awesome ChatGPT Prompts View All Prompts on GitHub
License
CC-0
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A chatbot from Chinese AI lab DeepSeek sent shockwaves through the market in January, due to its ability to perform mathematics, coding and reasoning at a similar level to ChatGPT and other top-tier...
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OpenAI Statistics: OpenAI, Inc. is an AI company based in San Francisco, California, and was started in December 2015. Its main goal is to build powerful and safe AI systems. OpenAI wants to create smart machines, called AGI, that can do most jobs better than humans, especially the ones that add economic value. This is also best known for developing advanced AI tools like ChatGPT, designed to solve real-world problems and improve daily life. Its mission is to make powerful AI available to everyone in a way that benefits society.
This article includes several current statistical analyses that are taken from different insights, which will guide in understanding the topic effectively as it covers the overall market, sales, user demographics, usage shares, website traffic, and many other factors.
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ChatGPT has demonstrated impressive abilities and impacted various aspects of human society since its creation, gaining widespread attention from different social spheres. This study aims to comprehensively assess public perception of ChatGPT on Reddit. The dataset was collected via Reddit, a social media platform, and includes 23,733 posts and comments related to ChatGPT. Firstly, to examine public attitudes, this study conducts content analysis utilizing topic modeling with the Latent Dirichlet Allocation (LDA) algorithm to extract pertinent topics. Furthermore, sentiment analysis categorizes user posts and comments as positive, negative, or neutral using Textblob and Vader in natural language processing. The result of topic modeling shows that seven topics regarding ChatGPT are identified, which can be grouped into three themes: user perception, technical methods, and impacts on society. Results from the sentiment analysis show that 61.6% of the posts and comments hold favorable opinions on ChatGPT. They emphasize ChatGPT’s ability to prompt and engage in natural conversations with users, without relying on complex natural language processing. It provides suggestions for ChatGPT developers to enhance its usability design and functionality. Meanwhile, stakeholders, including users, should comprehend the advantages and disadvantages of ChatGPT in human society to promote ethical and regulated implementation of the system.
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According to Cognitive Market Research, The Global Social Login Tool market size will grow at a compound annual growth rate (CAGR) of 15.3% from 2023 to 2030.
The demand for Social Login Tool is rising due to technological innovations.
Demand for Social Login Tool remains higher in the Social Login Tool market.
The Monthly Social Login Tool held the highest Social Login Tool market revenue share in 2023.
North America will continue to lead, whereas the Asia Pacific Social Login Tool market will experience the strongest growth until 2030.
Increasing User Convenience to Provide Viable Market Output
The Social Login Tool Market is thriving due to the growing emphasis on user convenience. Users appreciate the simplicity of using their existing social media credentials to access various online services, eliminating the need to remember multiple login details. This streamlines the registration and login process, reducing friction and enhancing the overall user experience.
In March 2023, Digimind unveiled an innovative social listening solution that marks a significant milestone in the industry. This pioneering solution seamlessly integrates two powerful artificial intelligence engines, Digimind AI Sense and OpenAI ChatGPT, offering consumers an all-encompassing understanding of their digital footprint. With this system, users gain an efficient and comprehensive approach to collect, analyze, and take action based on online conversations and interactions.
Source-www.digimind.com/en/news/ai-sense-and-chatgpt
As businesses prioritize customer satisfaction, they adopt social login tools to provide a hassle-free onboarding process, resulting in higher conversion rates, improved user retention, and a competitive edge in the digital landscape.
Increasing Mobile App Adoption to Propel Market Growth
The surge in mobile app adoption is propelling the Social Login Tool Market. As mobile devices become the primary medium for accessing online services, social login tools play a crucial role in simplifying user authentication.
Ericsson has reported that the worldwide count of smartphone mobile network subscriptions exceeded 6.6 billion in the past year. They anticipate this number to continue to rise, reaching an estimated 7.8 billion subscriptions by the year 2028. This reflects the ongoing growth and penetration of smartphones and mobile network connectivity on a global scale.
Source-www.ericsson.com/en/reports-and-papers/mobility-report/dataforecasts/mobile-subscriptions-outlook
They offer a seamless and convenient login experience, which is especially valuable in the context of mobile apps, where user engagement and retention are critical. Businesses are increasingly integrating these tools to enhance mobile user experiences, boost app downloads, and capitalize on the mobile-first trend, driving the market's growth.
Market Restraints Of the Social Login Tool Market
Key Drivers for Social Login Tool Market
Rising Demand for a Cohesive User Experience Across Various Platforms: Social login solutions remove the necessity for users to recall numerous credentials, thereby streamlining the processes of sign-ups and logins. This enhancement leads to increased user engagement and higher conversion rates across websites, applications, and digital platforms.
Increasing Adoption of Integrated Omnichannel and Mobile-First Approaches: As organizations transition towards cohesive digital experiences, social login solutions facilitate consistent identity management across both mobile and desktop environments. They assist in preserving session continuity and personalizing content delivery.
Growing Utilization of Data-Driven Customer Insights: Social login gathers extensive user information such as email addresses, demographic details, and interests. Businesses utilize this information to customize marketing initiatives, improve segmentation, and enhance CRM strategies, ultimately leading to better ROI.
Key Restraints for Social Login Tool Market
Data Privacy and Regulatory Compliance Challenges: With the continuous evolution of data protection regulations such as GDPR and CCPA, organizations encounter stringent obligations regarding the storage and utilization of data acquired through social logins. Noncompliance may result in penalties and harm to reputation.
Overdependence on Third-Party Platforms: Dependence on external servi...
Chatbot Market Size 2025-2029
The chatbot market size is forecast to increase by USD 9.63 billion, at a CAGR of 42.9% between 2024 and 2029.
The market is witnessing significant growth, driven by the integration of chatbots with various communication channels such as social media, websites, and messaging apps. This integration enables businesses to engage with customers in real-time, providing instant responses and enhancing customer experience. However, the market faces challenges, including the lack of awareness and standardization of chatbot services. Despite these obstacles, the potential benefits of chatbots, including cost savings, increased efficiency, and improved customer engagement, make it an attractive investment for businesses seeking to enhance their digital presence and streamline operations. Companies looking to capitalize on this market opportunity should focus on developing chatbot solutions that offer customizable features, seamless integration with existing systems, and natural language processing capabilities to deliver human-like interactions. Navigating the challenges of awareness and standardization will require targeted marketing efforts and collaborations with industry partners to establish best practices and industry standards.
What will be the Size of the Chatbot Market during the forecast period?
Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, with dynamic market dynamics shaping its growth and applications across various sectors. Conversational AI, a key component of chatbots, is advancing with the integration of sentiment analysis, emotional intelligence, and meteor score to enhance user experience. Pre-trained models and language understanding are being utilized to improve performance metrics, while neural networks and contextual awareness enable more accurate intent recognition. Deployment strategies, including policy learning and cloud platforms, are evolving to support cross-platform compatibility and multi-lingual support. Performance metrics, such as F1-score and response time, are crucial in evaluating model effectiveness. Reinforcement learning and knowledge base integration are essential for chatbot development and lead generation.
Error rate and character error rate are critical in speech recognition, while API integration and dialogue state tracking facilitate seamless conversational experiences. Technical support and customer engagement are primary applications of chatbots, with sales conversion and automated responses optimizing business operations. Deep learning architectures and transfer learning are driving advancements in question answering and natural language processing. Contextualized word embeddings and dialogue management are essential for effective user interaction. Overall, the market is an ever-evolving landscape, with continuous innovation and integration of advanced technologies shaping its future.
How is this Chatbot Industry segmented?
The chatbot industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. End-userRetailBFSIGovernmentTravel and hospitalityOthersProductSolutionsServicesDeploymentCloud-BasedOn-PremiseHybridApplicationCustomer ServiceSales and MarketingHealthcare SupportE-Commerce AssistanceGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKMiddle East and AfricaEgyptKSAOmanUAEAPACChinaIndiaJapanSouth AmericaArgentinaBrazilRest of World (ROW)
By End-user Insights
The retail segment is estimated to witness significant growth during the forecast period.The market is experiencing significant growth, particularly in the retail sector. E-commerce giants like Amazon, Flipkart, Alibaba, and Snapdeal are leading this trend, integrating chatbots to improve customer experience during online product searches. These AI-powered bots facilitate quick and effective resolution of payment-related queries, enhancing the shopping experience. However, retailers face challenges in ensuring a seamless user experience, as consumers increasingly prefer mobile shopping. Deep learning architectures and natural language processing (NLP) are crucial components of chatbot development. NLP enables intent recognition, sentiment analysis, and entity extraction, while deep learning models provide contextual awareness and dialogue management. Speech recognition and dialogue state tracking further enhance the user experience. Cross-platform compatibility and multi-lingual support are essential features for chatbots, catering to diverse user bases. Pre-trained models and transfer learning enable faster development and deployment. Reinforcement learning and policy learning optimize bot
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As ChatGPT emerges as a potential ally in healthcare decision-making, it is imperative to investigate how users leverage and perceive it. The repurposing of technology is innovative but brings risks, especially since AI’s effectiveness depends on the data it’s fed. In healthcare, ChatGPT might provide sound advice based on current medical knowledge, which could turn into misinformation if its data sources later include erroneous information. Our study assesses user perceptions of ChatGPT, particularly of those who used ChatGPT for healthcare-related queries. By examining factors such as competence, reliability, transparency, trustworthiness, security, and persuasiveness of ChatGPT, the research aimed to understand how users rely on ChatGPT for health-related decision-making. A web-based survey was distributed to U.S. adults using ChatGPT at least once a month. Bayesian Linear Regression was used to understand how much ChatGPT aids in informed decision-making. This analysis was conducted on subsets of respondents, both those who used ChatGPT for healthcare decisions and those who did not. Qualitative data from open-ended questions were analyzed using content analysis, with thematic coding to extract public opinions on urban environmental policies. Six hundred and seven individuals responded to the survey. Respondents were distributed across 306 US cities of which 20 participants were from rural cities. Of all the respondents, 44 used ChatGPT for health-related queries and decision-making. In the healthcare context, the most effective model highlights ’Competent + Trustworthy + ChatGPT for healthcare queries’, underscoring the critical importance of perceived competence and trustworthiness specifically in the realm of healthcare applications of ChatGPT. On the other hand, the non-healthcare context reveals a broader spectrum of influential factors in its best model, which includes ’Trustworthy + Secure + Benefits outweigh risks + Satisfaction + Willing to take decisions + Intent to use + Persuasive’. In conclusion our study findings suggest a clear demarcation in user expectations and requirements from AI systems based on the context of their use. We advocate for a balanced approach where technological advancement and user readiness are harmonized.
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There were 23 915 500 Instagram users in Republic of Korea in February 2024, which accounted for 45.4% of its entire population. The majority of them were women - 57.2%. People aged 25 to 34 were the largest user group (8 100 000). The highest difference between men and women occurs within people aged 18 to 24, where women lead by 2 900 000.
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The AI Chatting Software market is experiencing robust growth, driven by increasing demand for automated customer service, personalized learning experiences, and advanced healthcare solutions. The market, estimated at $15 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 25% from 2025 to 2033, reaching approximately $75 billion by 2033. This significant expansion is fueled by several key factors. The rising adoption of AI-powered chatbots across various industries, including e-commerce, education, and healthcare, is a primary driver. Businesses are leveraging these chatbots to enhance customer engagement, streamline operations, and reduce costs. Furthermore, advancements in Natural Language Processing (NLP) and Machine Learning (ML) are leading to more sophisticated and human-like chatbot interactions, improving user experience and satisfaction. The increasing availability of cloud-based platforms and APIs is also facilitating wider adoption, lowering the barrier to entry for businesses of all sizes. However, challenges such as data privacy concerns, the need for continuous model training and improvement, and the potential for bias in AI algorithms represent constraints to market growth. Market segmentation reveals strong growth across all application areas, with Commercial Customer Service and Educational Assistance currently leading the way. Key players such as ChatGPT, Dialogflow, and others are actively competing to innovate and capture market share through enhanced features, improved performance, and wider integration capabilities. The geographical distribution of the AI Chatting Software market is diverse, with North America and Europe currently holding significant market share due to early adoption and technological advancements. However, rapid growth is anticipated in the Asia-Pacific region, driven by increasing digitalization and a burgeoning tech-savvy population. Future growth will depend on continued technological advancements in areas like sentiment analysis, emotional intelligence, and multilingual support, as well as the successful addressing of ethical considerations related to AI bias and data security. The market’s future trajectory will also be shaped by regulatory changes and evolving user expectations concerning the level of personalization and human-like interaction. Ultimately, the continued refinement of AI-powered chatbots and their integration into everyday applications promises to drive sustained market expansion in the coming years.
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Regression models for usage, visits and adoption of ChatGPT.
In a survey conducted across four Southeast Asian countries in February 2023, ** percent of the respondents in Singapore selected the collection of personal data as one of the concerns they had regarding the usage of chatbots like ChatGPT. In contrast, this was an issue for ** percent of respondents in Indonesia.