37 datasets found
  1. a

    Traffic Site

    • hub.arcgis.com
    • data-waikatolass.opendata.arcgis.com
    Updated Sep 9, 2021
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    Hamilton City Council (2021). Traffic Site [Dataset]. https://hub.arcgis.com/maps/hcc::traffic-site
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    Dataset updated
    Sep 9, 2021
    Dataset authored and provided by
    Hamilton City Council
    License

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

    Description

    Attributes of sites in Hamilton City which collect anonymised data from a sample of vehicles. Note: A Link is the section of the road between two sites

    Column_InfoSite_Id, int : Unique identiferNumber, int : Asset number. Note: If the site is at a signalised intersection, Number will match 'Site_Number' in the table 'Traffic Signal Site Location'Is_Enabled, varchar : Site is currently enabledDisabled_Date, datetime : If currently disabled, the date at which the site was disabledSite_Name, varchar : Description of the site locationLatitude, numeric : North-south geographic coordinatesLongitude, numeric : East-west geographic coordinates

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    Disclaimer
    
    Hamilton City Council does not make any representation or give any warranty as to the accuracy or exhaustiveness of the data released for public download. Levels, locations and dimensions of works depicted in the data may not be accurate due to circumstances not notified to Council. A physical check should be made on all levels, locations and dimensions before starting design or works.
    
    Hamilton City Council shall not be liable for any loss, damage, cost or expense (whether direct or indirect) arising from reliance upon or use of any data provided, or Council's failure to provide this data.
    
    While you are free to crop, export and re-purpose the data, we ask that you attribute the Hamilton City Council and clearly state that your work is a derivative and not the authoritative data source. Please include the following statement when distributing any work derived from this data:
    
    ‘This work is derived entirely or in part from Hamilton City Council data; the provided information may be updated at any time, and may at times be out of date, inaccurate, and/or incomplete.'
    
  2. W

    Website Traffic Analysis Tool Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 25, 2025
    + more versions
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    Data Insights Market (2025). Website Traffic Analysis Tool Report [Dataset]. https://www.datainsightsmarket.com/reports/website-traffic-analysis-tool-1455386
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global website traffic analysis tool market is experiencing robust growth, driven by the increasing reliance on digital marketing and the need for businesses of all sizes to understand their online audience. The market, estimated at $15 billion in 2025, is projected to grow at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $45 billion by 2033. This expansion is fueled by several key factors. The rising adoption of cloud-based solutions provides scalability and cost-effectiveness for businesses, particularly SMEs seeking affordable analytics. Moreover, the evolution of sophisticated analytics features, including advanced user behavior tracking and predictive analytics, enhances the value proposition for both SMEs and large enterprises. The market is segmented by application (SMEs and large enterprises) and by type (cloud-based and web-based), with cloud-based solutions dominating due to their accessibility and flexibility. Competitive pressures among numerous vendors, including established players like Google Analytics, Semrush, and Ahrefs, as well as emerging niche players, drive innovation and affordability, benefiting users. Geographic distribution shows strong growth across North America and Europe, with Asia-Pacific emerging as a high-growth region. However, factors such as data privacy concerns and the increasing complexity of website analytics can act as potential restraints. Despite these challenges, the continued expansion of e-commerce and digital marketing strategies across various industries will solidify the demand for robust website traffic analysis tools. The market is expected to witness further consolidation through mergers and acquisitions, with leading players investing heavily in research and development to enhance their offerings. The increasing need for real-time data analysis and integration with other marketing automation platforms will further shape market evolution. The emergence of AI-powered analytics, providing predictive insights and automated reporting, is transforming the industry and will continue to drive market expansion in the coming years. This makes this market an attractive landscape for investors and technology providers looking for strong future growth.

  3. m

    Factori Audience | 1.2B unique mobile users in APAC, EU, North America and...

    • app.mobito.io
    Updated Dec 24, 2022
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    (2022). Factori Audience | 1.2B unique mobile users in APAC, EU, North America and MENA [Dataset]. https://app.mobito.io/data-product/audience-data
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    Dataset updated
    Dec 24, 2022
    Area covered
    SOUTH_AMERICA, North America, EUROPE, ASIA, OCEANIA, AFRICA
    Description

    We collect, validate, model, and segment raw data signals from over 900+ sources globally to deliver thousands of mobile audience segments. We then combine that data with other public and private data sources to derive interests, intent, and behavioral attributes. Our proprietary algorithms then clean, enrich, unify and aggregate these data sets for use in our products. We have categorized our audience data into consumable categories such as interest, demographics, behavior, geography, etc. Audience Data Categories:Below mentioned data categories include consumer behavioral data and consumer profiles (available for the US and Australia) divided into various data categories. Brand Shoppers:Methodology: This category has been created based on the high intent of users in terms of their visits to Brand outlets in the real world. To create segments containing users with a high-affinity index, we use a precise determination of the number of occurrences at a given time. Place Category Visitors:Methodology: This category has been created based on the high intent of users visiting specific places of interest in the real world. To create segments containing users with a high-affinity index, we use a precise determination of the number of occurrences at a given time. Demographics:This category has been created based on deterministic data that we receive from apps based on the declared gender and age data. Marital Status, Education, Party affiliation, and State residency are available in the US. Geo-Behavioural:This category has been created based on the high intent of users in terms of the frequency of their visits to specific granular places of interest in the real world. To create segments containing users with a high-affinity index, we use a precise determination of the number of occurrences at a given time. Interests:This segment is created based on users' interest in a specific subject while browsing the internet when the visited website category is clearly focused on a specific subject such as cars, cooking, traveling, etc. We use a deterministic model to assign a proper profile and time that information is valid. The recency of data can range from 14 to 30 days, depending on the topic. Intent:Factori receives data from many partners to deliver high-quality pieces of information about users’ shopping intent. We collect data from sources connected to the eCommerce sector and we also receive data connected to online transactions from affiliate networks to deliver the most accurate segments with purchase intentions, such as laptops, mobile phones, or cars. The recency of data can range from 7 to 14 days depending on the product category. Events:This category was created based on the high interest of users in terms of content related to specific global events - sports, culture, and gaming. Among the event segments, we also distinguish categories related to the interest in certain lifestyle choices and behaviors. To create segments containing users with a high-affinity index, we use a precise determination of the number of occurrences at a given time. App Usage:Mobile category is a branch of the taxonomy that is dedicated only to the data that is based on mobile advertising IDs. It is based on the categorization of the mobile apps that the user has installed on the device. Auto Ownership:Consumer Profiles - Available for US and AustraliaThis audience has been created based on users declaring that they own a certain brand of automobile and other automotive attributes via a survey or registration. These audiences are currently available in the USA. Motorcycle Ownership:Consumer Profiles - Available for US and AustraliaThis audience has been created based on users declaring that they own a certain brand of motorcycle and other motorcycle-based attributes via a survey or registration. These audiences are currently available for the USA. Household:Consumer Profiles - Available for the US and AustraliaThis audience has been created based on users' declaring their marital status, parental status, and the overall number of children via a survey or registration. These audiences are currently available in the USA. Financial:Consumer Profiles - Available for the US and Australia this audience has been created based on their behavior in different financial services like property ownership, mortgage, investing behavior, and wealth and declaring their estimated net worth via a survey or registration. Purchase/ Spending Behavior:Consumer Profiles - Available for the US and AustraliaThis audience has been created based on their behavior in different spending behaviors in different business verticals available in the USA. Clusters:Consumer Profiles - Available for the US and AustraliaClusters are groups of consumers who exhibit similar demographic, lifestyle, and media consumption characteristics, empowering marketers to understand the unique attributes that comprise their most profitable consumer segments. Armed with this rich data, data scientists can drive analytics and modeling to power their brand’s unique marketing initiatives. B2B Audiences;Consumer Profiles - Available for US and AustraliaThis audience has been created based on users declaring their employee credentials, designations, and companies they work in, further specifying business verticals, revenue breakdowns, and headquarters locations. Customizable Audiences Data Segment:Brands can choose the appropriate pre-made audience segments or ask our data experts about creating a custom segment that is precisely tailored to your brief in order to reach their target customers and boost the campaign's effectiveness. Location Query Granularity:Minimum area: HEX 8Maximum area: QuadKey 17/City

  4. Distribution of Google.com traffic 2025, by country

    • statista.com
    Updated Jul 16, 2025
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    Statista (2025). Distribution of Google.com traffic 2025, by country [Dataset]. https://www.statista.com/statistics/276737/distribution-of-visitors-to-googlecom-by-country/
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    Dataset updated
    Jul 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In May 2025, the United States was responsible for 21.1 percent of the traffic to Google.com. In terms of web visits to the search platform, Japan came in second with 6.46 percent, followed by Brazil and India with 5.58 and 4.76 percent, respectively.

  5. f

    Audience Data | Insights for Targeted Engagement Strategies | Factori

    • factori.ai
    Updated Jul 15, 2025
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    (2025). Audience Data | Insights for Targeted Engagement Strategies | Factori [Dataset]. https://www.factori.ai/datasets/audience-data/
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    Dataset updated
    Jul 15, 2025
    License

    https://www.factori.ai/privacy-policyhttps://www.factori.ai/privacy-policy

    Area covered
    Global
    Description

    At Factori, we gather various data sets from leading publishers, data platforms, online services, and data aggregators globally, linked to consumers, places, and businesses. We combine this data with public and private sources to derive interests, intent, and behavioral attributes. Our proprietary algorithms clean, enrich, unify, and aggregate these data sets for use in our products. We categorize our audience data into consumable categories such as interest, demographics, behavior, geography, etc.

  6. w

    Geographical origin of the visits to the website of the City of Brussels...

    • data.wu.ac.at
    csv, json, xls
    Updated Mar 18, 2016
    + more versions
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    City of Brussels/Web Unit (2016). Geographical origin of the visits to the website of the City of Brussels (2015) [Dataset]. https://data.wu.ac.at/schema/opendata_brussels_be/Z2VvZ3JhcGhpY2FsLW9yaWdpbi1vZi10aGUtdmlzaXRzLXRvLXRoZS13ZWJzaXRlLW9mLXRoZS1jaXR5LW9mLWJydXNzZWxzLTIwMTU=
    Explore at:
    json, csv, xlsAvailable download formats
    Dataset updated
    Mar 18, 2016
    Dataset provided by
    City of Brussels/Web Unit
    Area covered
    Brussels
    Description

    Countries and territories of the visitors of the website of the City of Brussels (2015), determined by the geographical area of their IP address. Source: Google Analytics.

  7. Daily online reach of magazine National Geographic in Italy 2019, by device

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Daily online reach of magazine National Geographic in Italy 2019, by device [Dataset]. https://www.statista.com/statistics/576210/national-geographic-online-reach-by-device-in-italy/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2019 - Nov 2019
    Area covered
    Italy
    Description

    This statistic shows the unique daily internet audience of the monthly magazine National Geographic in Italy from January to November 2019. In November 2019, National Geographic reached on average about ** thousand individuals via smartphone every day.

  8. Visitor analytics in city of Helsinki websites

    • kaggle.com
    Updated Dec 31, 2024
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    Olaf Laitinen (2024). Visitor analytics in city of Helsinki websites [Dataset]. http://doi.org/10.34740/kaggle/dsv/10342181
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 31, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Olaf Laitinen
    License

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

    Area covered
    Helsinki
    Description
    • Administrator: Helsingin kaupunginkanslia / Digitalisaatioyksikkö
    • Administrator's webpage: https://www.hel.fi/fi
    • Published: 10.03.2022
    • Updated: 02.09.2022
    • Update frequency: day
    • Categories: Local government
    • Tags: visitor counts
    • Geographical coverage: Helsinki
    • Time series starts: 2022-01-01
    • Time series accuracy: month
    • License: Creative Commons Attribution 4.0
    • How to reference: Source: Visitor analytics in city of Helsinki websites. The maintainer of the dataset is Helsingin kaupunginkanslia / Digitalisaatioyksikkö. The dataset has been downloaded from Helsinki Region Infoshare service on 31.12.2024 under the license Creative Commons Attribution 4.0.
  9. d

    Factori USA Consumer Graph Data | socio-demographic, location, interest and...

    • datarade.ai
    .json, .csv
    Updated Jul 23, 2022
    + more versions
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    Factori (2022). Factori USA Consumer Graph Data | socio-demographic, location, interest and intent data | E-Commere |Mobile Apps | Online Services [Dataset]. https://datarade.ai/data-products/factori-usa-consumer-graph-data-socio-demographic-location-factori
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Jul 23, 2022
    Dataset authored and provided by
    Factori
    Area covered
    United States of America
    Description

    Our consumer data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.

    Our comprehensive data enrichment solution includes a variety of data sets that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences.

    1. Geography - City, State, ZIP, County, CBSA, Census Tract, etc.
    2. Demographics - Gender, Age Group, Marital Status, Language etc.
    3. Financial - Income Range, Credit Rating Range, Credit Type, Net worth Range, etc
    4. Persona - Consumer type, Communication preferences, Family type, etc
    5. Interests - Content, Brands, Shopping, Hobbies, Lifestyle etc.
    6. Household - Number of Children, Number of Adults, IP Address, etc.
    7. Behaviours - Brand Affinity, App Usage, Web Browsing etc.
    8. Firmographics - Industry, Company, Occupation, Revenue, etc
    9. Retail Purchase - Store, Category, Brand, SKU, Quantity, Price etc.
    10. Auto - Car Make, Model, Type, Year, etc.
    11. Housing - Home type, Home value, Renter/Owner, Year Built etc.

    Consumer Graph Schema & Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:

    Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly).

    Consumer Graph Use Cases:

    360-Degree Customer View:Get a comprehensive image of customers by the means of internal and external data aggregation.

    Data Enrichment:Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment

    Fraud Detection: Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity.

    Advertising & Marketing:Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.

    Using Factori Consumer Data graph you can solve use cases like:

    Acquisition Marketing Expand your reach to new users and customers using lookalike modeling with your first party audiences to extend to other potential consumers with similar traits and attributes.

    Lookalike Modeling

    Build lookalike audience segments using your first party audiences as a seed to extend your reach for running marketing campaigns to acquire new users or customers

    And also, CRM Data Enrichment, Consumer Data Enrichment B2B Data Enrichment B2C Data Enrichment Customer Acquisition Audience Segmentation 360-Degree Customer View Consumer Profiling Consumer Behaviour Data

    Here's the schema of Consumer Data: person_id first_name last_name age gender linkedin_url twitter_url facebook_url city state address zip zip4 country delivery_point_bar_code carrier_route walk_seuqence_code fips_state_code fips_country_code country_name latitude longtiude address_type metropolitan_statistical_area core_based+statistical_area census_tract census_block_group census_block primary_address pre_address streer post_address address_suffix address_secondline address_abrev census_median_home_value home_market_value property_build+year property_with_ac property_with_pool property_with_water property_with_sewer general_home_value property_fuel_type year month household_id Census_median_household_income household_size marital_status length+of_residence number_of_kids pre_school_kids single_parents working_women_in_house_hold homeowner children adults generations net_worth education_level occupation education_history credit_lines credit_card_user newly_issued_credit_card_user credit_range_new
    credit_cards loan_to_value mortgage_loan2_amount mortgage_loan_type
    mortgage_loan2_type mortgage_lender_code
    mortgage_loan2_render_code
    mortgage_lender mortgage_loan2_lender
    mortgage_loan2_ratetype mortgage_rate
    mortgage_loan2_rate donor investor interest buyer hobby personal_email work_email devices phone employee_title employee_department employee_job_function skills recent_job_change company_id company_name company_description technologies_used office_address office_city office_country office_state office_zip5 office_zip4 office_carrier_route office_latitude office_longitude office_cbsa_code
    office_census_block_group
    office_census_tract office_county_code
    company_phone
    company_credit_score
    company_csa_code
    company_dpbc
    company_franchiseflag
    company_facebookurl company_linkedinurl company_twitterurl
    company_website company_fortune_rank
    company_government_type company_headquarters_branch company_home_business
    company_industry
    company_num_pcs_used
    company_num_employees
    company_firm_individual company_msa company_msa_name
    company_naics_code
    company_naics_description
    company_naics_code2 company_naics_description2
    company_sic_code2
    company_sic_code2_desc...

  10. Traffic signals and SCATS sites locations DCC - Dataset - data.gov.ie

    • data.gov.ie
    Updated Jun 19, 2025
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    data.gov.ie, Traffic signals and SCATS sites locations DCC - Dataset - data.gov.ie [Dataset]. https://data.gov.ie/dataset/traffic-signals-and-scats-sites-locations-dcc
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    Dataset updated
    Jun 19, 2025
    Dataset provided by
    data.gov.ie
    License

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

    Description

    SCATS – SCATS (Sydney Coordinated Adaptive Traffic System) is an adaptive urban traffic management system that synchronises traffic signals to optimise traffic flow across a whole city, region or corridor. Attributes: SiteID : Site (signal and SCATS Site) identifier Site_Description_Cap : Site description in capital letters Site_Description_Lower: site description in lower case letters Region: refers to SCATS regional servers Lat: Geographic location (Latitude) Long : Geographic location (Longitude) Site_Type : Site type; it has two values: SCATS or Signal Site SCATS means that both SCATS detectors and traffic signals (traffic lights) are present.

  11. Digital Advertisement Spending Market Analysis North America, APAC, Europe,...

    • technavio.com
    Updated Jul 15, 2024
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    Technavio (2024). Digital Advertisement Spending Market Analysis North America, APAC, Europe, South America, Middle East and Africa - US, China, UK, Germany, Japan - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/digital-advertisement-spending-market-industry-analysis
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    Dataset updated
    Jul 15, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Germany, United Kingdom, United States, Global
    Description

    Snapshot img

    Digital Advertisement Spending Market Size 2024-2028

    The digital advertisement spending market size is forecast to increase by USD 570.7 billion at a CAGR of 18.51% between 2023 and 2028. The digital advertising spending market is experiencing significant growth, driven by several key trends and factors. One major factor is the decline in offline ad spending as businesses increasingly shift their budgets toward digital channels. Another trend is the evolution of programmatic advertisement buying, which allows for more targeted and efficient ad placements. However, the market also faces challenges, particularly in the area of OTT (over-the-top) advertising. Video advertising, including photo and video ads, has gained immense popularity due to the rise of streaming platforms and smartphone devices. With the proliferation of streaming services and cord-cutting, advertisers are seeking effective strategies to reach audiences in this new media landscape. Overall, the digital advertising market is poised for continued growth, but advertisers must navigate these trends and challenges to maximize their impact and ROI.

    Market Analysis

    Request Free Sample

    The digital advertising spending market is a significant segment of the digital media industry, driven by the increasing usage of social media, video, search engines, mobile devices, laptops, and desktops. The market encompasses various sectors such as health care, media and entertainment, ecommerce websites, and technology infrastructure. In the digital world, advertisers invest heavily in online advertising, digital media, online portals, and digital marketplaces to reach their target audience. Social media platforms have also emerged as a major advertising channel, enabling businesses to engage with their customers in real-time.

    The online population's growth and the shift from traditional television advertisement to digital video marketing are key factors driving the market's expansion. The digital advertising market is also influenced by technology advancements such as multifactor authentication, crypto currency, and digital creative services. These technologies provide enhanced security, convenience, and creativity, making digital advertising more effective and engaging for consumers. Overall, the digital advertising market is expected to continue growing, offering ample opportunities for businesses to reach their audience and thrive in the digital marketplace.

    Market Segmentation

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Type
    
      Display ad
      Search ad
      Others
    
    
    Geography
    
      North America
    
        US
    
    
      APAC
    
        China
        Japan
    
    
      Europe
    
        Germany
        UK
    
    
      South America
    
    
    
      Middle East and Africa
    

    By Type Insights

    The display ad segment is estimated to witness significant growth during the forecast period. In the digital world, various forms of advertisement such as display, email, social media, video, and search engine advertising, are increasingly gaining popularity among businesses looking to reach their target audience online. According to recent studies, The market is projected to expand significantly over the next few years, driven by the widespread use of internet-connected devices like laptops, desktops, smartphones, and tablets. This growth can be attributed to the ability of digital media to provide targeted advertising through IP targeting, reaching both business-to-business (B2B) and business-to-consumer (B2C) customers directly. Digital ads come in various formats, including visual ads, photo video ads, and multifactor authentication ads, and can be found on online portals, ecommerce websites, streaming platforms, and technology and infrastructure websites.

    The media and entertainment, health care, transport and tourism, IT and telecom industries are major contributors to the digital advertising market. Traditional television advertisement continues to coexist with digital video marketing, offering advertisers the flexibility to reach a mass audience through both channels. Moreover, the coronavirus pandemic has accelerated the shift toward digital advertising as businesses look for new ways to engage with their customers and adapt to changing consumer behavior. Digital creative services and strategic campaign development have become essential components of successful digital ad spending, ensuring that ads are tailored to the audience and delivered through the most effective channels.

    Overall, the digital advertising market offers advertisers a cost-effective and measurable way to reach their target audience and drive conversions in the ever-evolving digital landscape.

    Get a glance at the market share of various segments Request Free Sample

    The display a

  12. Distribution of Reddit.com traffic 2024, by country

    • statista.com
    Updated Nov 11, 2024
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    Statista (2024). Distribution of Reddit.com traffic 2024, by country [Dataset]. https://www.statista.com/statistics/325144/reddit-global-active-user-distribution/
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    Dataset updated
    Nov 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In the six months ending March 2024, the United States accounted for 48.46 percent of traffic to the online forum Reddit.com. The United Kingdom was ranked second, accounting for 7.16 percent of web visits to the social media platform. Reddit in the United States In August 2023, Reddit accounted for slightly over 1.6 percent of social media website traffic in the United States. Founded in 2005, Reddit is a discussion website which enables users to aggregate news by posting links and let other users vote and comment on them. There are thousands of subforums, called subreddits, on a wide range of topics available. One of the most popular subreddits is the AMA (“Ask Me Anything”), where celebrities, public figures or people in unique positions post threads that allow other Reddit users to ask them anything. In 2022, Nicolas Cage's AMA post generated over 238.5 thousand upvotes, making it the most popular AMA of the year. Reddit users in the United States Reddit use in the United States is more prevalent among younger online audiences. During a February 2021 survey, it was found that 36 percent of internet users aged 18 to 29 years and 22 percent of users aged 30 to 49 years used Reddit. However, the reach of the social platform strongly declines with age. Also, whilst around a 23 of male adults in the U.S. access Reddit, only 12 percent of women do the same.

  13. m

    Visitor Management Market Size, Growth Analysis Report, Forecast 2030

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jun 30, 2025
    + more versions
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    Mordor Intelligence (2025). Visitor Management Market Size, Growth Analysis Report, Forecast 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/visitor-management-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

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

    Time period covered
    2019 - 2030
    Area covered
    Global
    Description

    Visitor Management Market is Segmented by Software Type (Web-Based Solutions, and More), Deployment Model (Cloud and On-Premises), Services (Professional Services, Managed Services, and More), Application (Safety and Security Management, and More), End-User Industry (Corporate Offices, and More), End-User Enterprise Size (Large Enterprises, and More), and by Geography. The Market Forecasts are Provided in Terms of Value (USD).

  14. Global Online Books Market Size By Types Of Books, By Distribution Channels,...

    • verifiedmarketresearch.com
    Updated Sep 24, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Online Books Market Size By Types Of Books, By Distribution Channels, By Target Audience, By Genres, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/online-books-market/
    Explore at:
    Dataset updated
    Sep 24, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Online Books Market size was valued at USD 3.89 Billion in 2023 and is projected to reach USD 6.45 Billion by 2031, growing at a CAGR of 2.23% during the forecast period 2024-2031.

    Global Online Books Market Drivers

    The market drivers for the Online Books Market can be influenced by various factors. These may include:

    Growing Digital Content Consumption: With the rise of smartphones, tablets, and e-readers, digital content consumption is increasing. Consumers are increasingly opting for online books due to convenience and accessibility. The ability to purchase and read books instantly, coupled with the availability of vast libraries and genres, attracts more readers. Online platforms offer features like search functionality, highlighting, and note-taking that enhance the reading experience. Additionally, the proliferation of internet connectivity supports this trend, as readers can access books anytime, anywhere.

  15. O

    Geographical origin (belgian municipalities) of the visits to the website of...

    • opalpro.cs.upb.de
    • data.wu.ac.at
    Updated Jun 25, 2019
    + more versions
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    Stad Brussel (2019). Geographical origin (belgian municipalities) of the visits to the website of the City (2013) [Dataset]. http://opalpro.cs.upb.de/pt_PT/dataset/geographical_origin_belgian_municipalities_of_the_visits_to_the_website_of_the_city_2013_
    Explore at:
    http://publications.europa.eu/resource/authority/file-type/json, http://publications.europa.eu/resource/authority/file-type/csvAvailable download formats
    Dataset updated
    Jun 25, 2019
    Dataset provided by
    Stad Brussel
    License

    http://wiki.data.gouv.fr/wiki/Licence_Ouverte_/_Open_Licencehttp://wiki.data.gouv.fr/wiki/Licence_Ouverte_/_Open_Licence

    Description

    Cities (municipalities) of origin of visitors to the website of the City of Brussels from Belgium, determined by their IP address. Source: Google Analytics.

  16. d

    Traffic signals and SCATS sites locations DCC

    • datasalsa.com
    csv, geojson, kml +1
    Updated Jan 11, 2022
    + more versions
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    Dublin City Council (2022). Traffic signals and SCATS sites locations DCC [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=traffic-signals-and-scats-sites-locations-dcc
    Explore at:
    zip, kml, geojson, csvAvailable download formats
    Dataset updated
    Jan 11, 2022
    Dataset authored and provided by
    Dublin City Council
    Time period covered
    Jun 19, 2025
    Description

    Traffic signals and SCATS sites locations DCC. Published by Dublin City Council. Available under the license cc-by (CC-BY-4.0).Locations of junctions and pedestrian crossings with traffic lights and SCATS sites’ detectors within the Dublin City Council administrative area.

    SCATS – SCATS (Sydney Coordinated Adaptive Traffic System) is an adaptive urban traffic management system that synchronises traffic signals to optimise traffic flow across a whole city, region or corridor. Attributes:

    • SiteID : Site (signal and SCATS Site) identifier

    • Site_Description_Cap : Site description in capital letters

    • Site_Description_Lower: site description in lower case letters

    • Region: refers to SCATS regional servers

    • Lat: Geographic location (Latitude)

    • Long : Geographic location (Longitude)

    • Site_Type : Site type; it has two values: SCATS or Signal Site
    - SCATS means that both SCATS detectors and traffic signals (traffic lights) are present.
    - Signal Site value means that only traffic signals are present. ...

  17. g

    Traffic signals and scats sites locations DCC | gimi9.com

    • gimi9.com
    Updated Jan 11, 2022
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    (2022). Traffic signals and scats sites locations DCC | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_5fd277d3-4ece-45b7-982a-b6116c45470b
    Explore at:
    Dataset updated
    Jan 11, 2022
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Locations of junctions and pedestrian Crossings with traffic lights and scats sites’ detectors within the Dublin City Council administrative area. Scats — scats (Sydney Coordinated Adaptive Traffic System) is an adaptive urban traffic management system that synchronises traffic signals to optimise traffic flow across a whole city, region or corridor. Attributes: • SiteID: Site (signal and scats Site) identifier • Site_Description_Cap: Site description in capital letters • Site_Description_Lower: site description in lower case letters • Region: refers to scats regional servers • Lat: Geographic location (Latitude) • Ship: Geographic location (Longitude) • Site_Type: Site type; it has two values: Scats or Signal Site — Scats means that both scats detectors and traffic signals (traffic lights) are present. — Signal Site value means that only traffic signals are present.

  18. Share of visits to the travel website booking.com worldwide 2025, by country...

    • statista.com
    • ai-chatbox.pro
    Updated Jun 19, 2025
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    Statista (2025). Share of visits to the travel website booking.com worldwide 2025, by country [Dataset]. https://www.statista.com/statistics/1296614/traffic-to-booking-website-by-country/
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    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2025
    Area covered
    Worldwide
    Description

    In May 2025, the United States accounted for the highest share of visits to the travel and tourism website booking.com. During that month, website visits from the U.S. represented almost ** percent of total visits to Booking's web page. In 2025, booking.com was the most visited travel and tourism website worldwide.

  19. Global Web Push Notification Software Market Size By Product (On-Premises,...

    • verifiedmarketresearch.com
    Updated Jun 28, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Web Push Notification Software Market Size By Product (On-Premises, Cloud-Based), By Application (Large Enterprise, SMEs), By Geographic Scope and Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/web-push-notification-software-market/
    Explore at:
    Dataset updated
    Jun 28, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Web Push Notification Software Market size was valued at USD 465.8 Million in 2024 and is projected to reach USD 1461.8 Million by 2031, growing at a CAGR of 21% from 2024 to 2031.

    Web Push Notification Software Market Drivers

    Increasing Mobile and Internet Penetration: The proliferation of mobile devices and the rapid rise in worldwide internet penetration are key drivers of the web push notification software industry. As more individuals acquire access to smartphones and the internet, the potential audience for web push notifications grows exponentially. This rise is especially noticeable in poorer countries where mobile devices are frequently used as the major means of internet access. Businesses see the chance to reach a bigger, more diversified audience by sending push notifications directly to user’s smartphones regardless of whether they have a specific app installed. Tailored Customer Engagement: In today's digital world, tailored marketing is an essential component of customer engagement plans. Web push notification software allows businesses to send highly tailored messages based on user behavior, preferences, and demographics. This customization is enabled by modern data analytics and machine learning algorithms that evaluate user data to provide insights and forecast consumer requirements and interests. Enhanced Customer Retention and Engagement: Customer retention and engagement are critical to any business's long-term success. Web push notifications are an effective technique for keeping ongoing communication with clients which increases retention rates. Unlike email or SMS marketing, push notifications are less obtrusive and more instantaneous attracting the user's attention right away. This immediacy is critical in an era when customers are inundated with information and have short attention spans.

  20. Online Video Platform Market Analysis APAC, North America, Europe, South...

    • technavio.com
    Updated Jan 15, 2025
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    Technavio (2025). Online Video Platform Market Analysis APAC, North America, Europe, South America, Middle East and Africa - US, China, Germany, Canada, UK, India, Japan, France, Italy, South Korea - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/online-video-platform-market-industry-analysis
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    United States, Canada, Global
    Description

    Snapshot img

    Online Video Platform Market Size 2025-2029

    The online video platform market size is forecast to increase by USD 2.39 billion, at a CAGR of 20.7% between 2024 and 2029.

    The market is experiencing significant growth due to several key trends. The rise In the number of streaming platforms is a major factor driving market growth. Consumers now have an abundance of choices when it comes to video streaming, leading to increased demand for high-quality content. Another trend is the live streaming of videos, which has gained popularity among audiences due to its interactive nature. Additionally, the availability of free open-source video platforms is making it easier for businesses and individuals to enter the market and offer their content. These trends are expected to continue shaping the market In the coming years.
    The market analysis report provides an in-depth exploration of emerging trends and their impact on industry growth. It also addresses key challenges, such as competition from well-established players and the constant need for innovation to align with shifting consumer preferences. Overall, the market remains a dynamic and promising space, offering numerous opportunities for expansion and innovation.
    

    What will be the Online Video Platform Market Size During the Forecast Period?

    Request Free Sample

    The market is experiencing significant growth, driven by the increasing popularity of live streaming and the proliferation of smart phones and handheld devices. Consumers now prefer watching video content on-demand, leading streaming services to monetize channels through advertising and subscription fees. Live streams, in particular, have gained traction due to their real-time engagement and interactivity. Wireless telecom networks, including 4G and the emerging 5G network, enable seamless internet access for streaming services, further fueling market growth. Television is no longer confined to traditional broadcasting; it's now being managed and published online, allowing for video-based marketing content to be transcoded and tracked for targeted advertising.
    

    How is this Online Video Platform Industry segmented and which is the largest segment?

    The online video platform 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-user
    
      Individuals
      Brand and enterprises
      Content creators
    
    
    Type
    
      UGC
      DIY
      SaaS
    
    
    Geography
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      North America
    
        Canada
        US
    
    
      Europe
    
        Germany
        UK
        France
        Italy
    
    
      South America
    
    
    
      Middle East and Africa
    

    By End-user Insights

    The individuals segment is estimated to witness significant growth during the forecast period.
    

    Online Video Platforms (OVPs) have become essential tools for individuals to share user-generated content, which is increasingly trusted by 80-85% of the global population over branded content. Individuals create videos for various purposes, including entertainment, education, and opinions on goods and services. Positive user-generated content can significantly boost product usage. OVPs monetize this trend by hosting and streaming individual Internet videos, contributing to market expansion. The trust in user-generated videos poses a threat to established brands, making OVPs a profitable venture.

    OVPs offer interfaces (APIs) for easy upload, embedding, and tracking of videos. They support playback on desktops, smartphones, and tablets, making them accessible via wireless telecom networks, including 4G and the upcoming 5G. Video analytics provide valuable insights for content creators and businesses In the e-learning sector and video-based marketing. OVPs ensure data security and offer transcode and transcoding services for seamless video consumption.

    Get a glance at the Online Video Platform Industry report of share of various segments Request Free Sample

    The individuals segment was valued at USD 284.70 million in 2019 and showed a gradual increase during the forecast period.

    Regional Analysis

    APAC is estimated to contribute 40% to the growth of the global market during the forecast period.
    

    Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    For more insights on the market share of various regions, Request Free Sample

    The Asia Pacific (APAC) region leads the market, driven by China, South Korea, and Japan as significant revenue contributors. The market's expansion is primarily due to the increasing Internet access and the popularity of online videos in Southeast Asia. With growing Internet penetration and the widespread use of smartphones, countries like China, Thailand, Indonesia, and Vietnam offer substa

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Hamilton City Council (2021). Traffic Site [Dataset]. https://hub.arcgis.com/maps/hcc::traffic-site

Traffic Site

Explore at:
Dataset updated
Sep 9, 2021
Dataset authored and provided by
Hamilton City Council
License

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

Description

Attributes of sites in Hamilton City which collect anonymised data from a sample of vehicles. Note: A Link is the section of the road between two sites

Column_InfoSite_Id, int : Unique identiferNumber, int : Asset number. Note: If the site is at a signalised intersection, Number will match 'Site_Number' in the table 'Traffic Signal Site Location'Is_Enabled, varchar : Site is currently enabledDisabled_Date, datetime : If currently disabled, the date at which the site was disabledSite_Name, varchar : Description of the site locationLatitude, numeric : North-south geographic coordinatesLongitude, numeric : East-west geographic coordinates

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Disclaimer

Hamilton City Council does not make any representation or give any warranty as to the accuracy or exhaustiveness of the data released for public download. Levels, locations and dimensions of works depicted in the data may not be accurate due to circumstances not notified to Council. A physical check should be made on all levels, locations and dimensions before starting design or works.

Hamilton City Council shall not be liable for any loss, damage, cost or expense (whether direct or indirect) arising from reliance upon or use of any data provided, or Council's failure to provide this data.

While you are free to crop, export and re-purpose the data, we ask that you attribute the Hamilton City Council and clearly state that your work is a derivative and not the authoritative data source. Please include the following statement when distributing any work derived from this data:

‘This work is derived entirely or in part from Hamilton City Council data; the provided information may be updated at any time, and may at times be out of date, inaccurate, and/or incomplete.'
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