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Discover the latest live chat statistics, including customer preferences, response times, conversion rates, and market growth data. Explore key insights and trends to improve customer service and increase sales.
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TwitterDuring a 2022 survey carried out among consumers from the United States, ** percent of responding millennials stated that they used a website or application chat function to contact brands. The same was true for ** percent of respondents from Generation Z.
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TwitterThis statistic shows the share of selected major companies using online customer service features in Norway in 2020, by type of feature. In that year, online customer profiles were a commonly utilized feature among the surveyed companies, ** percent of the companies having them on their website. ** percent of companies also used a real-time chat service. Call-back services were more seldom used by businesses in Norway.
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TwitterA survey conducted in the United States in January 2024 shows the most commonly used customer service methods on retail websites. At around ** percent, most of the respondents prefer to speak to a real person. In comparison, roughly ** percent of respondents would rather interact with an automated chat. The preference for real interactions is also the second most chosen option, with more than ** percent of participants opting for it. Scheduling a virtual appointment is the least popular choice among consumers, with less than *** percent of respondents.
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Discover the booming managed live chat software market! Learn about its $2 billion valuation, 15% CAGR growth, key drivers, trends, and leading companies. Explore regional insights and forecast data to 2033. Maximize customer engagement and support – investigate now!
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The global online chatting service market is booming, projected to reach $15 billion by 2033, driven by smartphone adoption and innovative technologies. Explore market trends, key players, and growth forecasts in this detailed analysis. Discover opportunities and challenges in the rapidly evolving landscape of online communication.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
A lot of data cleaning is needed.
Chat Dataset. 30k Rows.
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Explore chatbot statistics and trends shaping the future of customer service. Explore the effectiveness of chatbots and what customers' expectations are.
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TwitterThis survey details the responses of contact center executives as to how customer inquiries are handled in their company. Some 20 percent of respondents stated that inquiries are handled by a separate, dedicated team.
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TwitterThis statistic shows the share of customers in the United States by their most preferred channel of contacting a company to solve a customer service issue from 2015 to 2017. During the survey in 2017, ** percent of the respondents stated that they prefer to contact customer service via email.
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| BASE YEAR | 2024 |
| HISTORICAL DATA | 2019 - 2023 |
| REGIONS COVERED | North America, Europe, APAC, South America, MEA |
| REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
| MARKET SIZE 2024 | 9.43(USD Billion) |
| MARKET SIZE 2025 | 10.29(USD Billion) |
| MARKET SIZE 2035 | 24.5(USD Billion) |
| SEGMENTS COVERED | Deployment Type, Channel, End User, Functionality, Regional |
| COUNTRIES COVERED | US, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA |
| KEY MARKET DYNAMICS | increasing digital interaction demand, personalized customer experiences, multichannel engagement strategies, real-time data analytics, automation and AI integration |
| MARKET FORECAST UNITS | USD Billion |
| KEY COMPANIES PROFILED | Salesforce, Adobe, Microsoft, Zoho, Freshworks, ServiceNow, SAP, Qualtrics, Twilio, Sprinklr, Insightly, Pipedrive, Zendesk, Oracle, HubSpot, Intercom |
| MARKET FORECAST PERIOD | 2025 - 2035 |
| KEY MARKET OPPORTUNITIES | AI-driven personalization solutions, Omnichannel engagement expansion, Integration with social media platforms, Analytics and data-driven insights, Increased demand for remote customer support |
| COMPOUND ANNUAL GROWTH RATE (CAGR) | 9.1% (2025 - 2035) |
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The Online Chat/Text Consultations market has rapidly evolved into a crucial component of modern communication, particularly within healthcare, customer service, and various professional services. This innovative approach allows businesses to deliver timely, efficient support and guidance through text-based interact
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VTuber 1B is a dataset for large-scale academic research, collecting over a billion live chats, superchats, and moderation events (bans/deletions) from virtual YouTubers' live streams.
See GitHub and join #livechat-dataset channel on SIGVT Discord for discussions.
We also offer ❤️🩹 Sensai, a live chat dataset specifically made for building ML models for spam detection / toxic chat classification.
See public notebooks built on VTuber 1B and VTuber 1B Elements for ideas.
We employed Honeybee cluster to collect real-time live chat events across major Vtubers' live streams. All sensitive data such as author name or author profile image are omitted from the dataset, and author channel id is anonymized by SHA-1 hashing algorithm with a grain of salt.
Kaggle Datasets (2 MB)
VTuber 1B Elements is most suitable for statistical visualizations and explanatory data analysis.
| filename | summary |
|---|---|
channels.csv | Channel index |
chat_stats.csv | Chat statistics |
superchat_stats.csv | Super Chat statistics |
VTuber 1B is most suitable for frequency analysis. This edition includes only the essential columns in order to reduce dataset size and make it faster fro Kaggle Kernels to load data in.
| filename | summary |
|---|---|
chats_%Y-%m.parquet | Live chat events (> 1,000,000,000) |
superchats_%Y-%m.parquet | Super chat events (> 4,000,000) |
deletion_events.parquet | Deletion events |
ban_events.parquet | Ban events |
Ban and deletion are equivalent to
markChatItemsByAuthorAsDeletedActionandmarkChatItemAsDeletedActionrespectively.
chats_%Y-%m.csv)| column | type | description | in standard version |
|---|---|---|---|
| timestamp | string | ISO 8601 UTC timestamp | limited accuracy |
| id | string | chat id | N/A |
| authorName | string | author name | N/A |
| authorChannelId | string | author channel id | anonymized |
| body | string | chat message | N/A |
| bodyLength | number | chat message length | standard version only |
| membership | string | membership status | N/A |
| isMember | nullable boolean | is member (null if unknown) | standard version only |
| isModerator | boolean | is channel moderator | N/A |
| isVerified | boolean | is verified account | N/A |
| videoId | string | source video id | |
| channelId | string | source channel id |
| value | duration |
|---|---|
| unknown | Indistinguishable |
| non-member | 0 |
| new | < 1 month |
| 1 month | >= 1 month, < 2 months |
| 2 months | >= 2 months, < 6 months |
| 6 months | >= 6 months, < 12 months |
| 1 year | >= 12 months, < 24 months |
| 2 years | >= 24 months |
Set keep_default_na to False and na_values to '' in read_csv. Otherwise, chat message like NA would incorrectly be treated as NaN value.
chats = ...
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TwitterCHAT-DC (Data Community) is a PILOT system of state/federal participants, website resources, CHAT data, and software that works on I.T./data management solutions for the greater CHAT group. The state data included in this dataset represent the states in the CHAT-DC and their CHAT submission in a pilot data flow and pilot data access tools.CHAT (Crucial Habitat Assessment Tool) is a spatial dataset and web tool. The data extent is hexagonized (1 sq mi). Each hex has a CRUCIAL habitat rank, among other rankings (Terrestrial Crucial Habitat, Aquatic Crucial Habitat, etc.) “crucial habitat data layer is derived from important habitat and connectivity input layers. The Western Association of Fish and Wildlife Agencies (WAFWA) CHAT is intended to provide coarse-scale, non-regulatory wildlife information to support project pre-planning. CHAT was created by state wildlife agencies across the West, using a common framework to define "Crucial Habitat" using a suite of priority datasets”... ”States given guidelines for habitat prioritization”... “West-wide definitions support compatibility and consistency across state boundaries and address certain discrepancies ”http://www.wafwachat.org".
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TwitterDuring the second quarter of 2025, 94.1 percent of internet users worldwide accessed online chatting and messaging apps on a monthly basis. Between the beginning of 2022 and the end of 2023, instant messaging and smartphone chat usage remained constant among the global digital population. During the second quarter of 2023, approximately 95 percent of global users were reported accessing mobile chat services.
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eLearning Statistics: In 1999, the term "eLearning", short for "electronic", was created. eLearning is further known as online learning and refers to the learning that occurs at a distance.
eLearning contains a broad range of courses from online college courses for K-12 students to employer training courses.
These digital resources and web applications, such as course management systems, facilitate this technological form of education.
They allow students to communicate with their professors and classmates through email or chat sessions, during taking online classes, downloading course materials, and doing other related activities.
Students usually need only a device like a laptop, tablet, or smartphone with Wi-Fi to participate in eLearning. The low entry barrier makes eLearning accessible and provides other advantages.
In the digital age, many trends have taken off quickly. Its growth has become exceptional and is not showing signs of relapsing.
Distance learning, or E-learning as it is commonly known, doesn’t take place in the traditional classroom setting where a teacher regulates and moderates information.
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This dataset was created by Kundan Singh
Released under CC0: Public Domain
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This dataset was created by Pratham Aggarwal
Released under CC0: Public Domain
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Discover the latest live chat statistics, including customer preferences, response times, conversion rates, and market growth data. Explore key insights and trends to improve customer service and increase sales.