47 datasets found
  1. 23 Essential Live Chat Statistics You Should Know in 2026

    • tidio.com
    html
    Updated Feb 19, 2026
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    Jelisaveta Sapardic (2026). 23 Essential Live Chat Statistics You Should Know in 2026 [Dataset]. https://www.tidio.com/blog/live-chat-statistics/
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Feb 19, 2026
    Dataset provided by
    Tidio
    Authors
    Jelisaveta Sapardic
    License

    Attribution-NoDerivs 4.0 (CC BY-ND 4.0)https://creativecommons.org/licenses/by-nd/4.0/
    License information was derived automatically

    Time period covered
    2021 - 2031
    Measurement technique
    Survey data analysis (as reported by cited sources), Synthesis of industry reports, Secondary research
    Description

    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.

  2. Use of online chat to contact brands in the U.S. 2022, by generation

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Use of online chat to contact brands in the U.S. 2022, by generation [Dataset]. https://www.statista.com/statistics/1338466/use-chat-contact-brands-usa/
    Explore at:
    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2022
    Area covered
    United States
    Description

    During 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.

  3. Share of major companies using online customer service in Norway 2020, by...

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Share of major companies using online customer service in Norway 2020, by feature [Dataset]. https://www.statista.com/statistics/715157/share-of-selected-major-companies-using-online-customer-service-features-in-norway/
    Explore at:
    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2020 - Oct 2020
    Area covered
    Norway
    Description

    This 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.

  4. Most used customer service types on e-commerce sites in the U.S. 2024

    • statista.com
    Updated Nov 26, 2025
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    Statista (2025). Most used customer service types on e-commerce sites in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1483720/us-customer-service-used-eretail/
    Explore at:
    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2024
    Area covered
    United States
    Description

    A 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.

  5. M

    Managed Live Chat Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 11, 2026
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    Data Insights Market (2026). Managed Live Chat Software Report [Dataset]. https://www.datainsightsmarket.com/reports/managed-live-chat-software-1451408
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 11, 2026
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2026 - 2034
    Area covered
    Global
    Variables measured
    Market Size
    Description

    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!

  6. C

    Chatting Service Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Feb 5, 2026
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    Data Insights Market (2026). Chatting Service Report [Dataset]. https://www.datainsightsmarket.com/reports/chatting-service-1498204
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Feb 5, 2026
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2026 - 2034
    Area covered
    Global
    Variables measured
    Market Size
    Description

    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.

  7. Customer Service Chat Data 30k Rows

    • kaggle.com
    zip
    Updated Sep 15, 2021
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    Akash Dey (2021). Customer Service Chat Data 30k Rows [Dataset]. https://www.kaggle.com/aimack/customer-service-chat-data-30k-rows
    Explore at:
    zip(4925521 bytes)Available download formats
    Dataset updated
    Sep 15, 2021
    Authors
    Akash Dey
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    A lot of data cleaning is needed.

    Content

    Chat Dataset. 30k Rows.

  8. 80+ Chatbot Statistics You Should Know in 2026

    • tidio.com
    html
    Updated Feb 19, 2026
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    Jelisaveta Sapardic (2026). 80+ Chatbot Statistics You Should Know in 2026 [Dataset]. https://www.tidio.com/blog/chatbot-statistics/
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Feb 19, 2026
    Dataset provided by
    Tidio
    Authors
    Jelisaveta Sapardic
    License

    Attribution-NoDerivs 4.0 (CC BY-ND 4.0)https://creativecommons.org/licenses/by-nd/4.0/
    License information was derived automatically

    Time period covered
    2021 - 2031
    Measurement technique
    Synthesis of industry reports, Survey data analysis (as reported by cited sources), Secondary research
    Description

    Explore chatbot statistics and trends shaping the future of customer service. Explore the effectiveness of chatbots and what customers' expectations are.

  9. Handling of web chat email-based inquiries in customer service centers 2011

    • statista.com
    Updated Aug 25, 2011
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    Statista (2011). Handling of web chat email-based inquiries in customer service centers 2011 [Dataset]. https://www.statista.com/statistics/234913/call-center-customer-responses/
    Explore at:
    Dataset updated
    Aug 25, 2011
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2011
    Area covered
    United States
    Description

    This 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.

  10. Customer service issues: preferred contact channels for customers U.S....

    • statista.com
    Updated Nov 25, 2025
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    Statista (2025). Customer service issues: preferred contact channels for customers U.S. 2015-2017 [Dataset]. https://www.statista.com/statistics/818553/preferred-company-contact-channels-for-customers-with-customer-service-issues-us/
    Explore at:
    Dataset updated
    Nov 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This 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.

  11. Cloud-Based Contact Center Market Growth Analysis - Size and Forecast...

    • technavio.com
    pdf
    Updated May 24, 2025
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    Technavio (2025). Cloud-Based Contact Center Market Growth Analysis - Size and Forecast 2025-2029 | Technavio [Dataset]. https://www.technavio.com/report/cloud-based-contact-center-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    May 24, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Description

    snapshot-tab-pane Cloud-Based Contact Center Market Size 2025-2029The cloud-based contact center market size is forecast to increase by USD 121.25 billion, at a CAGR of 36.3% between 2024 and 2029.The market is experiencing significant growth, driven primarily by the increasing adoption of cloud technologies and the integration of social, mobile, analytics, and cloud (SMAC) solutions. Businesses are recognizing the benefits of cloud-based contact centers, including cost savings, scalability, and flexibility. Moreover, the integration of SMAC technologies is enabling organizations to provide omnichannel customer engagement and improve customer experience. The adoption of cloud infrastructure and data center solutions ensures business continuity and scalability. However, the implementation of cloud-based contact centers is not without challenges.One major obstacle is the complexity of integrating these systems with legacy on-premises systems, which can require significant resources and time. Companies must carefully plan and execute their cloud migration strategies to overcome these challenges and capitalize on the opportunities presented by the market. Mobile apps and web services provide customers with convenient access to self-service options and live chat support.What will be the Size of the Cloud-Based Contact Center Market during the forecast period? Request Free SampleThe market is experiencing significant growth as businesses increasingly adopt cloud migration for their customer service operations. Omnichannel customer service is a key trend, with contact center platforms integrating call center automation, voice biometrics, and virtual agents to enhance the customer experience. Edge computing and agile development are also shaping the market, enabling real-time data processing and faster deployment of new features. Cloud PBX solutions offer advanced communication capabilities, while knowledge management systems and agent training tools ensure efficient customer engagement. Disaster recovery plans and compliance monitoring are essential components of cloud-based contact centers, ensuring business continuity and regulatory compliance.Security audits and data encryption are critical for protecting sensitive customer information. Contact center analytics and customer feedback management provide valuable insights for improving customer engagement and satisfaction. Predictive routing and sentiment analysis help optimize call center workflows and personalize customer interactions. Hybrid cloud solutions offer flexibility and cost savings, while AI-powered chatbots and conversational marketing tools enhance digital customer service. Quality assurance and customer engagement platforms enable businesses to deliver exceptional customer experiences across multiple channels. Customer self-service portals and journey analytics provide valuable data for optimizing the customer journey.How is this Cloud-Based Contact Center Industry segmented?The cloud-based contact center 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.Component SolutionsServicesDeployment Public cloudHybrid cloudPrivate cloudSector Large enterprisesSmall and medium enterprises (SMEs)Geography North America USCanadaMexicoEurope FranceGermanyItalyUKAPAC ChinaIndiaSouth America BrazilRest of World (ROW) By Component InsightsThe solutions segment is estimated to witness significant growth during the forecast period. The market is experiencing significant growth due to the increasing adoption of advanced technologies such as speech recognition, predictive analytics, and conversational AI. These technologies enable enhanced customer experiences, improved agent performance, and increased business efficiency. The financial services industry is a major contributor to this market, leveraging cloud-based contact center solutions for customer self-service, call routing, and real-time monitoring. Unified communications and remote work have become essential in today's business landscape, driving the demand for cloud-based contact center solutions. Customer journey mapping and analytics help companies gain valuable customer insights, leading to better customer engagement and satisfaction. Travel and hospitality industries, in particular, are focusing on enhancing the customer experience through personalized interactions and efficient call handling.Disaster recovery and business continuity are critical considerations for large enterprises, making cloud-based contact center solutions an attractive option. Real-time monitoring, call recording, and quality management are essential features that ensure effective c

  12. w

    Global Customer Engagement Platform Market Research Report: By Deployment...

    • wiseguyreports.com
    Updated Nov 12, 2025
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    (2025). Global Customer Engagement Platform Market Research Report: By Deployment Type (On-Premises, Cloud-Based, Hybrid), By Channel (Email, Social Media, Mobile Apps, Web, Live Chat), By End User (Retail, Banking, Telecommunications, Healthcare, Travel & Hospitality), By Functionality (Customer Support, Customer Analytics, Personalization, Feedback Management) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/customer-engagement-platform-market
    Explore at:
    Dataset updated
    Nov 12, 2025
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Sep 25, 2026
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2023
    REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20249.43(USD Billion)
    MARKET SIZE 202510.29(USD Billion)
    MARKET SIZE 203524.5(USD Billion)
    SEGMENTS COVEREDDeployment Type, Channel, End User, Functionality, Regional
    COUNTRIES COVEREDUS, 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 DYNAMICSincreasing digital interaction demand, personalized customer experiences, multichannel engagement strategies, real-time data analytics, automation and AI integration
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDSalesforce, Adobe, Microsoft, Zoho, Freshworks, ServiceNow, SAP, Qualtrics, Twilio, Sprinklr, Insightly, Pipedrive, Zendesk, Oracle, HubSpot, Intercom
    MARKET FORECAST PERIOD2025 - 2035
    KEY MARKET OPPORTUNITIESAI-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)
  13. P

    Global Online Chat/Text Consultations Market Strategic Recommendations...

    • statsndata.org
    excel, pdf
    Updated Jan 2026
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    Stats N Data (2026). Global Online Chat/Text Consultations Market Strategic Recommendations 2025-2032 [Dataset]. https://www.statsndata.org/report/online-chattext-consultations-market-277371
    Explore at:
    excel, pdfAvailable download formats
    Dataset updated
    Jan 2026
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    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

  14. Automotive E-Commerce Market Growth Analysis - Size and Forecast 2025-2029 |...

    • technavio.com
    pdf
    Updated Jun 20, 2025
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    Technavio (2025). Automotive E-Commerce Market Growth Analysis - Size and Forecast 2025-2029 | Technavio [Dataset]. https://www.technavio.com/report/automotive-e-commerce-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 20, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Description

    snapshot-tab-pane Automotive E-Commerce Market Size 2025-2029The automotive e-commerce market size is forecast to increase by USD 165.65 billion, at a CAGR of 21.5% between 2024 and 2029.The market is experiencing significant growth, driven by the increasing penetration of smartphones and the internet. With more consumers turning to digital platforms for purchasing goods, the automotive industry is following suit. E-commerce platforms facilitate seamless digital payment and order management systems. The convenience of researching and buying automotive parts online, coupled with the availability of multiple payment modes, is making e-commerce an attractive option for both consumers and sellers. However, challenges persist, including the widespread availability of counterfeit automotive parts. This issue poses a significant risk to both consumers and manufacturers, as the use of substandard parts can lead to safety concerns and damage to vehicles.Companies looking to capitalize on market opportunities must prioritize authenticity and transparency in their offerings, while also investing in robust security measures to protect against counterfeit products. Effective supply chain management and partnerships with trusted suppliers are essential to maintaining a strong market position. In navigating this dynamic landscape, strategic planning and operational agility will be key to success. Customer data protection and supply chain optimization are crucial components, ensuring secure transactions and efficient logistics.What will be the Size of the Automotive E-Commerce 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 activities unfolding across various sectors. Parts ordering systems are seamlessly integrated into digital platforms, enabling customers to easily purchase necessary components for their vehicles. Customer reviews play a crucial role in influencing purchasing decisions, shaping the market landscape. Influencer marketing and retargeting campaigns are increasingly utilized to reach potential customers, while digital showrooms provide a virtual shopping experience for consumers. Lead generation and sales process automation streamline the buying journey, enhancing the customer experience. Promotional campaigns and special offers are employed to attract and retain customers, with data analytics and marketing automation tools used to optimize pricing strategies and personalize user experiences.Social media marketing and email marketing are essential channels for reaching diverse customer segments, from luxury car buyers to those in the market for pick-up trucks. Vehicle financing options and leasing deals are offered online, with payment gateways ensuring secure transactions. Customer support is available through various channels, including website chat and phone, to address any concerns or questions. Return processing is streamlined through digital platforms, ensuring a seamless experience for customers. UX and website usability are prioritized to create an intuitive and user-friendly shopping environment. Mobile app development caters to the growing trend of mobile commerce, enabling customers to shop on-the-go. Used car sales and financing options, including extended warranties and lease agreements, expand the market's reach.How is this Automotive E-Commerce Industry segmented?The automotive e-commerce 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.Vehicle Type Passenger carTwo-wheelerCommercial vehicleChannel AftermarketOEMProduct Type Parts and accessoriesTires and wheelsInfotainment and electronicsInterior and exterior accessoriesTools and garage equipmentGeography North America USCanadaMexicoEurope GermanyUKAPAC ChinaIndiaJapanSouth KoreaSouth America BrazilRest of World (ROW) By Vehicle Type InsightsThe passenger car segment is estimated to witness significant growth during the forecast period.The market is experiencing significant growth due to the increasing adoption of digital channels for buying and selling certified pre-owned vehicles, insurance integration, and other related services. E-commerce platforms have become a preferred choice for consumers seeking convenience and a wide selection of options, including luxury cars, pick-up trucks, and hybrid vehicles. These platforms offer features like 3D vehicle configurators, online dealerships, email marketing, and social media marketing to engage customers and facilitate seamless transactions. Customer seg

  15. VTuber 1B: Live Chat and Moderation Statistics

    • kaggle.com
    zip
    Updated Aug 4, 2022
    + more versions
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    uetchy (2022). VTuber 1B: Live Chat and Moderation Statistics [Dataset]. https://www.kaggle.com/uetchy/vtuber-livechat
    Explore at:
    zip(55599296855 bytes)Available download formats
    Dataset updated
    Aug 4, 2022
    Authors
    uetchy
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    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.

    Provenance

    • Source: YouTube live chat events collected by our Honeybee cluster. Holodex is a stream index provider for Honeybee which covers Hololive, Nijisanji, 774inc, etc.
    • Temporal Coverage:
      • Chats: from 2021-01-15
      • Super chats: from 2021-03-16
    • Update Frequency:
      • At least once every 6 months

    Research Ideas

    • Toxic Chat Classification
    • Spam Detection
    • Demographic Visualization
    • Superchat Analysis
    • Training neural language models

    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.

    Editions

    VTuber 1B Elements

    Kaggle Datasets (2 MB)

    VTuber 1B Elements is most suitable for statistical visualizations and explanatory data analysis.

    filenamesummary
    channels.csvChannel index
    chat_stats.csvChat statistics
    superchat_stats.csvSuper Chat statistics

    VTuber 1B

    Kaggle Datasets

    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.

    filenamesummary
    chats_%Y-%m.parquetLive chat events (> 1,000,000,000)
    superchats_%Y-%m.parquetSuper chat events (> 4,000,000)
    deletion_events.parquetDeletion events
    ban_events.parquetBan events

    Dataset Breakdown

    Ban and deletion are equivalent to markChatItemsByAuthorAsDeletedAction and markChatItemAsDeletedAction respectively.

    Chats (chats_%Y-%m.csv)

    columntypedescriptionin standard version
    timestampstringISO 8601 UTC timestamplimited accuracy
    idstringchat idN/A
    authorNamestringauthor nameN/A
    authorChannelIdstringauthor channel idanonymized
    bodystringchat messageN/A
    bodyLengthnumberchat message lengthstandard version only
    membershipstringmembership statusN/A
    isMembernullable booleanis member (null if unknown)standard version only
    isModeratorbooleanis channel moderatorN/A
    isVerifiedbooleanis verified accountN/A
    videoIdstringsource video id
    channelIdstringsource channel id

    Membership status

    valueduration
    unknownIndistinguishable
    non-member0
    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

    Pandas usage

    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 = ...
    
  16. CHAT CH Rank

    • gis-fws.opendata.arcgis.com
    • hub.arcgis.com
    Updated Feb 14, 2019
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    U.S. Fish & Wildlife Service (2019). CHAT CH Rank [Dataset]. https://gis-fws.opendata.arcgis.com/datasets/chat-ch-rank/about
    Explore at:
    Dataset updated
    Feb 14, 2019
    Dataset provided by
    U.S. Fish and Wildlife Servicehttp://www.fws.gov/
    Authors
    U.S. Fish & Wildlife Service
    Area covered
    Description

    CHAT-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".

  17. Global online users accessing chat and instant messaging Q1 2022-Q2 2025

    • statista.com
    Updated Nov 25, 2025
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    Statista (2025). Global online users accessing chat and instant messaging Q1 2022-Q2 2025 [Dataset]. https://www.statista.com/statistics/1489440/chat-and-messenger-service-usage/
    Explore at:
    Dataset updated
    Nov 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    During 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.

  18. M

    eLearning Statistics By Learning, Technology, Upskills (2026)

    • scoop.market.us
    Updated Jan 8, 2026
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    Market.us Scoop (2026). eLearning Statistics By Learning, Technology, Upskills (2026) [Dataset]. https://scoop.market.us/elearning-statistics/
    Explore at:
    Dataset updated
    Jan 8, 2026
    Dataset authored and provided by
    Market.us Scoop
    License

    https://scoop.market.us/privacy-policyhttps://scoop.market.us/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    What is eLearning?

    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.

  19. chat-data

    • kaggle.com
    zip
    Updated Nov 26, 2024
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    Kundan Singh (2024). chat-data [Dataset]. https://www.kaggle.com/datasets/kundansingh08/chat-data
    Explore at:
    zip(123016976 bytes)Available download formats
    Dataset updated
    Nov 26, 2024
    Authors
    Kundan Singh
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Dataset

    This dataset was created by Kundan Singh

    Released under CC0: Public Domain

    Contents

  20. Streamers' Chat Data

    • kaggle.com
    zip
    Updated Apr 20, 2024
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    Pratham Aggarwal (2024). Streamers' Chat Data [Dataset]. https://www.kaggle.com/datasets/prathamaggarwal20/streamers-chat-data
    Explore at:
    zip(101176370 bytes)Available download formats
    Dataset updated
    Apr 20, 2024
    Authors
    Pratham Aggarwal
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Dataset

    This dataset was created by Pratham Aggarwal

    Released under CC0: Public Domain

    Contents

Share
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Email
Click to copy link
Link copied
Close
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Jelisaveta Sapardic (2026). 23 Essential Live Chat Statistics You Should Know in 2026 [Dataset]. https://www.tidio.com/blog/live-chat-statistics/
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23 Essential Live Chat Statistics You Should Know in 2026

23 Essential Live Chat Statistics You Should Know in 2026

Explore at:
htmlAvailable download formats
Dataset updated
Feb 19, 2026
Dataset provided by
Tidio
Authors
Jelisaveta Sapardic
License

Attribution-NoDerivs 4.0 (CC BY-ND 4.0)https://creativecommons.org/licenses/by-nd/4.0/
License information was derived automatically

Time period covered
2021 - 2031
Measurement technique
Survey data analysis (as reported by cited sources), Synthesis of industry reports, Secondary research
Description

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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