26 datasets found
  1. b

    App Revenue Data (2025)

    • businessofapps.com
    Updated Sep 7, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Business of Apps (2017). App Revenue Data (2025) [Dataset]. https://www.businessofapps.com/data/app-revenues/
    Explore at:
    Dataset updated
    Sep 7, 2017
    Dataset authored and provided by
    Business of Apps
    License

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

    Description

    App Revenue Key StatisticsMobile Ad SpendApp and Game RevenuesiOS App and Game RevenueGoogle Play App and Game RevenueGaming App RevenuesiOS Gaming App RevenueGoogle Play Gaming App RevenueApp...

  2. b

    App Downloads Data (2025)

    • businessofapps.com
    Updated Sep 1, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Business of Apps (2017). App Downloads Data (2025) [Dataset]. https://www.businessofapps.com/data/app-statistics/
    Explore at:
    Dataset updated
    Sep 1, 2017
    Dataset authored and provided by
    Business of Apps
    License

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

    Description

    App Download Key StatisticsApp and Game DownloadsiOS App and Game DownloadsGoogle Play App and Game DownloadsGame DownloadsiOS Game DownloadsGoogle Play Game DownloadsApp DownloadsiOS App...

  3. b

    Apple App Store Statistics (2025)

    • businessofapps.com
    Updated May 16, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Business of Apps (2023). Apple App Store Statistics (2025) [Dataset]. https://www.businessofapps.com/data/apple-app-store-statistics/
    Explore at:
    Dataset updated
    May 16, 2023
    Dataset authored and provided by
    Business of Apps
    License

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

    Description

    Key Apple App Store StatisticsApple App Store App and Game RevenueApple App Store Gaming App RevenueApple App Store App RevenueApple App Store App and Game DownloadsApple App Store Game...

  4. Genshin Impact IAP revenue worldwide 2020-2025

    • statista.com
    Updated Jul 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Genshin Impact IAP revenue worldwide 2020-2025 [Dataset]. https://www.statista.com/statistics/1208573/genshin-impact-player-spending-app/
    Explore at:
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2020 - May 2025
    Area covered
    Worldwide
    Description

    Published in September 2020, Genshin Impact has quickly shot up the rank among the top-grossing mobile games worldwide. In May 2025, the mobile app generated approximately 27.7 million U.S. dollars in in-app purchases. The open-world action RPG title uses a gacha game monetization system and is available for several platforms and claims the title of the fastest gaming app to reach 5 billion U.S. dollars in global player spending. Anime-style open world online games Inspired by Genshin’s success story, many other app publishers have tried to recapture the game’s success. Chinese app developers, in particular, have been homing in on the anime-style open world fantasy genre, though none of these releases have managed to reach Genshin’s level of impact. Tower of Fantasy, developed by Hotta Studio, was published in December 2021, making it one of the earlier entries of the genre. Not putting all its eggs in one basket, Genshin publisher miHoYo also released another game with similar mechanics to GI, the space fantasy RPG Honkai: Star Rail. While not reaching Genshin’s runaway financial success, Honkai: Star Rail has managed to prove itself a financial success in its own right. In May 2024, Kuro Games released the highly anticipated Wuthering Waves. Wuthering Waves’ mobile app accumulated over 20 million U.S. dollars in IAP revenues within 10 days of release, showing that gaming audiences are still hungry for open world online games. The success of online anime RPGs is not guaranteed Despite the popularity of the genre, games in this segment are not automatically poised for success. Japanese publisher Bandai Namco also created an anime MMORPG, Blue Protocol. Originally planned for a worldwide multi-platform release with Amazon as a global publisher in 2023, the game received a Japan-only launch in the summer of 2023, the Korean launch was moved to 2024 and then infinitely paused. Despite a strong launch, the game has fizzled out and Japanese gamers have criticized Blue Protocol for the lack of engaging features, bugs, and lack of serious content updates, highlighting Bandai’s inability to tap into the genre and keep up with online gaming trends despite its status as an AAA-level video gaming company.

  5. Instagram: distribution of global audiences 2024, by gender

    • statista.com
    • davegsmith.com
    Updated Jun 17, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Stacy Jo Dixon (2025). Instagram: distribution of global audiences 2024, by gender [Dataset]. https://www.statista.com/topics/1164/social-networks/
    Explore at:
    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    As of January 2024, Instagram was slightly more popular with men than women, with men accounting for 50.6 percent of the platform’s global users. Additionally, the social media app was most popular amongst younger audiences, with almost 32 percent of users aged between 18 and 24 years.

                  Instagram’s Global Audience
    
                  As of January 2024, Instagram was the fourth most popular social media platform globally, reaching two billion monthly active users (MAU). This number is projected to keep growing with no signs of slowing down, which is not a surprise as the global online social penetration rate across all regions is constantly increasing.
                  As of January 2024, the country with the largest Instagram audience was India with 362.9 million users, followed by the United States with 169.7 million users.
    
                  Who is winning over the generations?
    
                  Even though Instagram’s audience is almost twice the size of TikTok’s on a global scale, TikTok has shown itself to be a fierce competitor, particularly amongst younger audiences. TikTok was the most downloaded mobile app globally in 2022, generating 672 million downloads. As of 2022, Generation Z in the United States spent more time on TikTok than on Instagram monthly.
    
  6. A

    App Analytics Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Report Analytics (2025). App Analytics Market Report [Dataset]. https://www.marketreportanalytics.com/reports/app-analytics-market-88003
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 27, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

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

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

    The app analytics market, valued at $7.29 billion in 2025, is experiencing robust growth, projected to expand at a compound annual growth rate (CAGR) of 21.09% from 2025 to 2033. This surge is driven by several key factors. The increasing adoption of mobile applications across diverse industries, coupled with the rising need for businesses to understand user behavior and optimize app performance, fuels the demand for sophisticated analytics solutions. Furthermore, advancements in data analytics technologies, including artificial intelligence (AI) and machine learning (ML), are enabling more insightful and actionable data analysis, further propelling market expansion. The diverse application of app analytics across marketing/advertising, revenue generation, and in-app performance monitoring across various sectors like BFSI, e-commerce, media, travel and tourism, and IT and telecom significantly contributes to this growth. The market is segmented by deployment (mobile apps and website/desktop apps) and end-user industry, with mobile app analytics currently dominating due to the widespread adoption of smartphones. The competitive landscape is characterized by a mix of established technology giants like Google and Amazon alongside specialized app analytics providers like AppsFlyer and Mixpanel. These companies are continuously innovating, integrating new technologies, and expanding their product offerings to cater to the evolving needs of businesses. While the North American market currently holds a significant share, the Asia-Pacific region is expected to witness substantial growth in the coming years driven by increasing smartphone penetration and digitalization initiatives. However, factors like data privacy concerns and the rising complexity of integrating various analytics tools could pose challenges to market growth. Nonetheless, the overall outlook for the app analytics market remains positive, indicating substantial opportunities for players across the value chain. Recent developments include: June 2024 - Comscore and Kochava unveiled an innovative performance media measurement solution, providing marketers with enhanced insights. This cutting-edge cross-screen solution empowers marketers to understand better how linear TV ad campaigns impact both online and offline actions. By integrating Comscore’s Exact Commercial Ratings (ECR) data with Kochava’s sophisticated marketing mix modeling, the solution facilitates the measurement of crucial metrics, including mobile app activities (such as installs and in-app purchases) and website interactions., June 2024 - AppsFlyer announced its integration of the Data Collaboration Platform with Start.io, an omnichannel advertising platform that focuses on real-time mobile audiences for publishers. Through this collaboration, businesses leveraging the AppsFlyer Data Collaboration Platform can merge their Start.io data with campaign metrics and audience insights, creating a more comprehensive dataset for precise audience targeting.. Key drivers for this market are: Increasing Usage of Mobile/Web Apps Across Various End-user Industries, Increasing Adoption of Technologies like 5G Technology and Deeper Penetration of Smartphones; Increase in the Amount of Time Spent on Mobile Devices Coupled With the Increasing Focus on Enhancing Customer Experience. Potential restraints include: Increasing Usage of Mobile/Web Apps Across Various End-user Industries, Increasing Adoption of Technologies like 5G Technology and Deeper Penetration of Smartphones; Increase in the Amount of Time Spent on Mobile Devices Coupled With the Increasing Focus on Enhancing Customer Experience. Notable trends are: Media and Entertainment Industry Expected to Capture Significant Share.

  7. h

    Global Backend Database Software Market Size, Growth & Revenue 2024-2032

    • htfmarketinsights.com
    pdf & excel
    Updated Jun 24, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    HTF Market Intelligence (2025). Global Backend Database Software Market Size, Growth & Revenue 2024-2032 [Dataset]. https://www.htfmarketinsights.com/report/4361127-backend-database-software-market
    Explore at:
    pdf & excelAvailable download formats
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    HTF Market Intelligence
    License

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

    Time period covered
    2019 - 2031
    Area covered
    Global
    Description

    Global Backend Database Software is segmented by Application (Enterprise apps, Web backends, Analytics, IoT, Mobile apps), Type (Relational, NoSQL, Cloud-native, In-memory, Graph) and Geography(North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA)

  8. d

    Ads.txt / App-ads.txt for advertisement compliance

    • datarade.ai
    .json, .csv, .txt
    Updated Jan 1, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Datandard (2024). Ads.txt / App-ads.txt for advertisement compliance [Dataset]. https://datarade.ai/data-products/ads-txt-app-ads-txt-for-advertisement-compliance-datandard
    Explore at:
    .json, .csv, .txtAvailable download formats
    Dataset updated
    Jan 1, 2024
    Dataset authored and provided by
    Datandard
    Area covered
    Latvia, Mauritius, Grenada, Chad, Iraq, Fiji, Turks and Caicos Islands, Sint Maarten (Dutch part), Yemen, French Polynesia
    Description

    In today's digital landscape, data transparency and compliance are paramount. Organizations across industries are striving to maintain trust and adhere to regulations governing data privacy and security. To support these efforts, we present our comprehensive Ads.txt and App-Ads.txt dataset.

    Key Benefits of Our Dataset:

    • Coverage: Our dataset offers a comprehensive view of the Ads.txt and App-Ads.txt files, providing valuable information about publishers, advertisers, and the relationships between them. You gain a holistic understanding of the digital advertising ecosystem.
    • Multiple Data Formats: We understand that flexibility is essential. Our dataset is available in multiple formats, including .CSV, .JSON, and more. Choose the format that best suits your data processing needs.
    • Global Scope: Whether your business operates in a single country or spans multiple continents, our dataset is tailored to meet your needs. It provides data from various countries, allowing you to analyze regional trends and compliance.
      • Top-Quality Data: Quality matters. Our dataset is meticulously curated and continuously updated to deliver the most accurate and reliable information. Trust in the integrity of your data for critical decision-making.
      • Seamless Integration: We've designed our dataset to seamlessly integrate with your existing systems and workflows. No disruptions—just enhanced compliance and efficiency.

    The Power of Ads.txt & App-Ads.txt: Ads.txt (Authorized Digital Sellers) and App-Ads.txt (Authorized Sellers for Apps) are industry standards developed by the Interactive Advertising Bureau (IAB) to increase transparency and combat ad fraud. These files specify which companies are authorized to sell digital advertising inventory on a publisher's website or app. Understanding and maintaining these files is essential for data compliance and the prevention of unauthorized ad sales.

    How Can You Benefit? - Data Compliance: Ensure that your organization adheres to industry standards and regulations by monitoring Ads.txt and App-Ads.txt files effectively. - Ad Fraud Prevention: Identify unauthorized sellers and take action to prevent ad fraud, ultimately protecting your revenue and brand reputation. - Strategic Insights: Leverage the data in these files to gain insights into your competitors, partners, and the broader digital advertising landscape. - Enhanced Decision-Making: Make data-driven decisions with confidence, armed with accurate and up-to-date information about your advertising partners. - Global Reach: If your operations span the globe, our dataset provides insights into the Ads.txt and App-Ads.txt files of publishers worldwide.

    Multiple Data Formats for Your Convenience: - CSV (Comma-Separated Values): A widely used format for easy data manipulation and analysis in spreadsheets and databases. - JSON (JavaScript Object Notation): Ideal for structured data and compatibility with web applications and APIs. - Other Formats: We understand that different organizations have different preferences and requirements. Please inquire about additional format options tailored to your needs.

    Data That You Can Trust:

    We take data quality seriously. Our team of experts curates and updates the dataset regularly to ensure that you receive the most accurate and reliable information available. Your confidence in the data is our top priority.

    Seamless Integration:

    Integrate our Ads.txt and App-Ads.txt dataset effortlessly into your existing systems and processes. Our goal is to enhance your compliance efforts without causing disruptions to your workflow.

    In Conclusion:

    Transparency and compliance are non-negotiable in today's data-driven world. Our Ads.txt and App-Ads.txt dataset empowers you with the knowledge and tools to navigate the complexities of the digital advertising ecosystem while ensuring data compliance and integrity. Whether you're a Data Protection Officer, a data compliance professional, or a business leader, our dataset is your trusted resource for maintaining data transparency and safeguarding your organization's reputation and revenue.

    Get Started Today:

    Don't miss out on the opportunity to unlock the power of data transparency and compliance. Contact us today to learn more about our Ads.txt and App-Ads.txt dataset, available in multiple formats and tailored to your specific needs. Join the ranks of organizations worldwide that trust our dataset for a compliant and transparent future.

  9. CDTFA Mobile

    • data-cdtfa.opendata.arcgis.com
    • data.ca.gov
    • +4more
    Updated Aug 7, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Department of Tax and Fee Administration (2020). CDTFA Mobile [Dataset]. https://data-cdtfa.opendata.arcgis.com/content/230dfd9b24a246b4bea995c060a0c997
    Explore at:
    Dataset updated
    Aug 7, 2020
    Dataset authored and provided by
    California Department of Tax and Fee Administrationhttp://cdtfa.ca.gov/
    Description

    The CDTFA Mobile app will enable you to find a sales and use tax rate, locate and contact our field offices, and conveniently access our website and online services.

    FEATURES

    • California Sales and Use Tax Rates: Find a tax rate by address, city, or your current location • CDTFA Field Offices: Get an office's address and other details, and with the tap of a button call an office or open its location in the Maps application to get driving directions • Website: View our website right within the app • Online Services: Access our online services directly with the tap of a button • And more features will be coming soon!

  10. Virtual Goods and Currencies Open Data Set

    • figshare.com
    zip
    Updated May 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Vili Lehdonvirta; Eino Joas (2023). Virtual Goods and Currencies Open Data Set [Dataset]. http://doi.org/10.6084/m9.figshare.4231727.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Vili Lehdonvirta; Eino Joas
    License

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

    Description

    Selling virtual goods and currencies to consumers has grown into a major revenue model in digital games and online services. The Virtual Goods and Currencies Data Set is a freely available data set that describes the prices and other attributes of 11,289 virtual goods and currencies. The data set is drawn from 59 game titles on mobile, social media, and PC platforms.

  11. Instagram: distribution of global audiences 2024, by age group

    • statista.com
    • davegsmith.com
    Updated Jun 17, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Stacy Jo Dixon (2025). Instagram: distribution of global audiences 2024, by age group [Dataset]. https://www.statista.com/topics/1164/social-networks/
    Explore at:
    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    As of April 2024, almost 32 percent of global Instagram audiences were aged between 18 and 24 years, and 30.6 percent of users were aged between 25 and 34 years. Overall, 16 percent of users belonged to the 35 to 44 year age group.

                  Instagram users
    
                  With roughly one billion monthly active users, Instagram belongs to the most popular social networks worldwide. The social photo sharing app is especially popular in India and in the United States, which have respectively 362.9 million and 169.7 million Instagram users each.
    
                  Instagram features
    
                  One of the most popular features of Instagram is Stories. Users can post photos and videos to their Stories stream and the content is live for others to view for 24 hours before it disappears. In January 2019, the company reported that there were 500 million daily active Instagram Stories users. Instagram Stories directly competes with Snapchat, another photo sharing app that initially became famous due to it’s “vanishing photos” feature.
                  As of the second quarter of 2021, Snapchat had 293 million daily active users.
    
  12. AmazonSalesReport

    • kaggle.com
    Updated Aug 7, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Arpit Mishra (2024). AmazonSalesReport [Dataset]. https://www.kaggle.com/datasets/arpit2712/amazonsalesreport
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 7, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Arpit Mishra
    License

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

    Description

    Amazon Sales Report

    Overview:

    This dataset provides detailed sales data from Amazon, offering a comprehensive look at various product categories and their performance over time. It includes information on sales figures, order details, product categories, and customer demographics.

    Features:

    1. Order ID

    Description: A unique identifier for each order placed on Amazon. This field helps to track individual orders and link related records.

    2. Dates

    Description: The date when the order was placed. This field is crucial for analyzing sales trends over time and identifying seasonal patterns.

    3. Status

    Description: The current status of the order (e.g., Shipped, Delivered, Pending). This field provides insight into the order fulfillment process and helps monitor order processing efficiency.

    4. Fulfillment

    Description: Indicates the method used to fulfill the order (e.g., Fulfilled by Amazon, Fulfilled by Seller). This feature helps in analyzing the performance of different fulfillment methods and their impact on customer satisfaction.

    5. Sales Channel

    Description: The channel through which the sale was made (e.g., Amazon Website, Mobile App). This field is useful for evaluating the effectiveness of different sales channels and understanding customer preferences.

    6. Category

    Description: The product category to which the purchased item belongs (e.g., Electronics, Clothing, Home Goods). This feature aids in analyzing sales performance across various product categories.

    7. Ship Service Level

    Description: The shipping service level selected for the order (e.g., Standard Shipping, Two-Day Shipping). This field helps to assess the impact of shipping options on delivery times and customer satisfaction.

    8. Size

    Description: The size of the product ordered (e.g., Small, Medium, Large). This feature is relevant for analyzing sales performance based on product size and understanding inventory requirements.

    9. Carrier Status

    Description: The status of the shipment with the carrier (e.g., In Transit, Delivered, Returned). This field provides insights into the shipping process and helps in monitoring delivery performance and handling returns.

    Use Cases:

    Sales Analysis:

    Examine trends in sales over time, identify peak periods, and analyze performance by product category.

    Customer Insights:

    Explore customer demographics to understand purchasing behavior and preferences.

    Inventory Management:

    Assess which products are performing well and which are not, aiding in inventory and supply chain management.

    Marketing Strategies:

    Develop targeted marketing campaigns based on sales trends and customer profiles.

    Data Source:

    This dataset is a simulated collection of Amazon sales data and is intended for educational and analytical purposes.

    Acknowledgments:

    This dataset was created to facilitate data analysis and machine learning projects. It is ideal for practicing data manipulation, statistical analysis, and predictive modeling.

  13. Instagram: distribution of global audiences 2024, by age and gender

    • statista.com
    • davegsmith.com
    Updated Jun 17, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Stacy Jo Dixon (2025). Instagram: distribution of global audiences 2024, by age and gender [Dataset]. https://www.statista.com/topics/1164/social-networks/
    Explore at:
    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    As of April 2024, around 16.5 percent of global active Instagram users were men between the ages of 18 and 24 years. More than half of the global Instagram population worldwide was aged 34 years or younger.

                  Teens and social media
    
                  As one of the biggest social networks worldwide, Instagram is especially popular with teenagers. As of fall 2020, the photo-sharing app ranked third in terms of preferred social network among teenagers in the United States, second to Snapchat and TikTok. Instagram was one of the most influential advertising channels among female Gen Z users when making purchasing decisions. Teens report feeling more confident, popular, and better about themselves when using social media, and less lonely, depressed and anxious.
                  Social media can have negative effects on teens, which is also much more pronounced on those with low emotional well-being. It was found that 35 percent of teenagers with low social-emotional well-being reported to have experienced cyber bullying when using social media, while in comparison only five percent of teenagers with high social-emotional well-being stated the same. As such, social media can have a big impact on already fragile states of mind.
    
  14. b

    Apple Statistics (2025)

    • businessofapps.com
    Updated Mar 16, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Business of Apps (2021). Apple Statistics (2025) [Dataset]. https://www.businessofapps.com/data/apple-statistics/
    Explore at:
    Dataset updated
    Mar 16, 2021
    Dataset authored and provided by
    Business of Apps
    License

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

    Description

    Apple is one of the most influential and recognisable brands in the world, responsible for the rise of the smartphone with the iPhone. Valued at over $2 trillion in 2021, it is also the most valuable...

  15. CDTFA Mobile for Android

    • gis.data.ca.gov
    • data.ca.gov
    • +4more
    Updated Oct 26, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Department of Tax and Fee Administration (2020). CDTFA Mobile for Android [Dataset]. https://gis.data.ca.gov/content/546fe70d26d54057ae8a6e3c01b8e690
    Explore at:
    Dataset updated
    Oct 26, 2020
    Dataset authored and provided by
    California Department of Tax and Fee Administrationhttp://cdtfa.ca.gov/
    Description

    Find a Sales and Use Tax RateFind a CDTFA office and get directions

  16. Global retail e-commerce sales 2022-2028

    • statista.com
    • aconto.anazko.com
    Updated Jun 24, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Global retail e-commerce sales 2022-2028 [Dataset]. https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    In 2024, global retail e-commerce sales reached an estimated ************ U.S. dollars. Projections indicate a ** percent growth in this figure over the coming years, with expectations to come close to ************** dollars by 2028. World players Among the key players on the world stage, the American marketplace giant Amazon holds the title of the largest e-commerce player globally, with a gross merchandise value of nearly *********** U.S. dollars in 2024. Amazon was also the most valuable retail brand globally, followed by mostly American competitors such as Walmart and the Home Depot. Leading e-tailing regions E-commerce is a dormant channel globally, but nowhere has it been as successful as in Asia. In 2024, the e-commerce revenue in that continent alone was measured at nearly ************ U.S. dollars, outperforming the Americas and Europe. That year, the up-and-coming e-commerce markets also centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing ** percent.

  17. d

    Ecommerce Data - Product data, Seller data, Market data, Pricing data|...

    • datarade.ai
    Updated Dec 1, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    APISCRAPY (2023). Ecommerce Data - Product data, Seller data, Market data, Pricing data| Scrape all publicly available eCommerce data| 50% Cost Saving | Free Sample [Dataset]. https://datarade.ai/data-products/apiscrapy-mobile-app-data-api-scraping-service-app-intel-apiscrapy
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Dec 1, 2023
    Dataset authored and provided by
    APISCRAPY
    Area covered
    Malta, Spain, Switzerland, Ukraine, China, Åland Islands, Bosnia and Herzegovina, United States of America, Norway, Isle of Man
    Description

    Note:- Only publicly available data can be worked upon

    In today's ever-evolving Ecommerce landscape, success hinges on the ability to harness the power of data. APISCRAPY is your strategic ally, dedicated to providing a comprehensive solution for extracting critical Ecommerce data, including Ecommerce market data, Ecommerce product data, and Ecommerce datasets. With the Ecommerce arena being more competitive than ever, having a data-driven approach is no longer a luxury but a necessity.

    APISCRAPY's forte lies in its ability to unearth valuable Ecommerce market data. We recognize that understanding the market dynamics, trends, and fluctuations is essential for making informed decisions.

    APISCRAPY's AI-driven ecommerce data scraping service presents several advantages for individuals and businesses seeking comprehensive insights into the ecommerce market. Here are key benefits associated with their advanced data extraction technology:

    1. Ecommerce Product Data: APISCRAPY's AI-driven approach ensures the extraction of detailed Ecommerce Product Data, including product specifications, images, and pricing information. This comprehensive data is valuable for market analysis and strategic decision-making.

    2. Data Customization: APISCRAPY enables users to customize the data extraction process, ensuring that the extracted ecommerce data aligns precisely with their informational needs. This customization option adds versatility to the service.

    3. Efficient Data Extraction: APISCRAPY's technology streamlines the data extraction process, saving users time and effort. The efficiency of the extraction workflow ensures that users can obtain relevant ecommerce data swiftly and consistently.

    4. Realtime Insights: Businesses can gain real-time insights into the dynamic Ecommerce Market by accessing rapidly extracted data. This real-time information is crucial for staying ahead of market trends and making timely adjustments to business strategies.

    5. Scalability: The technology behind APISCRAPY allows scalable extraction of ecommerce data from various sources, accommodating evolving data needs and handling increased volumes effortlessly.

    Beyond the broader market, a deeper dive into specific products can provide invaluable insights. APISCRAPY excels in collecting Ecommerce product data, enabling businesses to analyze product performance, pricing strategies, and customer reviews.

    To navigate the complexities of the Ecommerce world, you need access to robust datasets. APISCRAPY's commitment to providing comprehensive Ecommerce datasets ensures businesses have the raw materials required for effective decision-making.

    Our primary focus is on Amazon data, offering businesses a wealth of information to optimize their Amazon presence. By doing so, we empower our clients to refine their strategies, enhance their products, and make data-backed decisions.

    [Tags: Ecommerce data, Ecommerce Data Sample, Ecommerce Product Data, Ecommerce Datasets, Ecommerce market data, Ecommerce Market Datasets, Ecommerce Sales data, Ecommerce Data API, Amazon Ecommerce API, Ecommerce scraper, Ecommerce Web Scraping, Ecommerce Data Extraction, Ecommerce Crawler, Ecommerce data scraping, Amazon Data, Ecommerce web data]

  18. Facebook: distribution of global audiences 2024, by age and gender

    • statista.com
    • davegsmith.com
    Updated Jun 17, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Stacy Jo Dixon (2025). Facebook: distribution of global audiences 2024, by age and gender [Dataset]. https://www.statista.com/topics/1164/social-networks/
    Explore at:
    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    As of April 2024, it was found that men between the ages of 25 and 34 years made up Facebook largest audience, accounting for 18.4 percent of global users. Additionally, Facebook's second largest audience base could be found with men aged 18 to 24 years.

                  Facebook connects the world
    
                  Founded in 2004 and going public in 2012, Facebook is one of the biggest internet companies in the world with influence that goes beyond social media. It is widely considered as one of the Big Four tech companies, along with Google, Apple, and Amazon (all together known under the acronym GAFA). Facebook is the most popular social network worldwide and the company also owns three other billion-user properties: mobile messaging apps WhatsApp and Facebook Messenger,
                  as well as photo-sharing app Instagram. Facebook usersThe vast majority of Facebook users connect to the social network via mobile devices. This is unsurprising, as Facebook has many users in mobile-first online markets. Currently, India ranks first in terms of Facebook audience size with 378 million users. The United States, Brazil, and Indonesia also all have more than 100 million Facebook users each.
    
  19. d

    Global Media and Internet Concentration Project – Canada – Dataset 2021

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Winseck, Dwayne (2023). Global Media and Internet Concentration Project – Canada – Dataset 2021 [Dataset]. http://doi.org/10.5683/SP3/XNAG38
    Explore at:
    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Winseck, Dwayne
    Area covered
    Canada
    Description

    The Canadian contribution and data set prepared as part of the Global Media and Internet Concentration (GMIC) project offers an independent academic, empirical and data-driven analysis of a deceptively simple yet profoundly important question: have telecom, media and internet markets become more concentrated over time, or less? Media Ownership and Concentration is presented from more than a dozen sectors of the telecom-media-internet industries, including film, music and book industries. Note: The Master GMICP Workbook was revised to remove instances where App Store and advertising revenue for Advertising-based Video-on-Demand (AVOD) services delivered over the Internet had been double counted in the original data set released through Dataverse. The text of the report was also revised to reflect these corrections.

  20. b

    Shopee Revenue and Usage Statistics (2025)

    • businessofapps.com
    Updated Nov 6, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Business of Apps (2023). Shopee Revenue and Usage Statistics (2025) [Dataset]. https://www.businessofapps.com/data/shopee-statistics/
    Explore at:
    Dataset updated
    Nov 6, 2023
    Dataset authored and provided by
    Business of Apps
    License

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

    Description

    Ecommerce marketplace app Shopee started life out as a customer-to-customer marketplace, in the same vein as eBay, but over the past few years has remodelled itself as a b2c marketplace. That switch...

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Business of Apps (2017). App Revenue Data (2025) [Dataset]. https://www.businessofapps.com/data/app-revenues/

App Revenue Data (2025)

Explore at:
54 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 7, 2017
Dataset authored and provided by
Business of Apps
License

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

Description

App Revenue Key StatisticsMobile Ad SpendApp and Game RevenuesiOS App and Game RevenueGoogle Play App and Game RevenueGaming App RevenuesiOS Gaming App RevenueGoogle Play Gaming App RevenueApp...

Search
Clear search
Close search
Google apps
Main menu