96 datasets found
  1. Global Mobile Reviews Dataset (2025 Edition)

    • kaggle.com
    zip
    Updated Oct 22, 2025
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    Mohan Krishna Thalla (2025). Global Mobile Reviews Dataset (2025 Edition) [Dataset]. https://www.kaggle.com/datasets/mohankrishnathalla/mobile-reviews-sentiment-and-specification
    Explore at:
    zip(2211906 bytes)Available download formats
    Dataset updated
    Oct 22, 2025
    Authors
    Mohan Krishna Thalla
    License

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

    Description

    📱 Global Mobile Reviews Dataset (2025 Edition)

    🌍 Research-Based, Web-Scraped Global Review Collection

    This dataset presents a curated collection of over 50,000 mobile phone reviews gathered through web scraping, market analysis, and content aggregation from multiple e-commerce and tech review platforms.
    It covers eight countries and includes detailed user opinions, ratings, sentiment polarity, and pricing data across leading smartphone brands.

    Each record captures customer experience holistically — spanning demographics, verified purchase details, multi-aspect ratings, and currency-adjusted pricing — making this dataset a powerful asset for research, NLP, and analytics.

    🎯 Ideal For

    • 🧠 Sentiment Analysis & NLP Modeling
    • 💬 Text Classification & Review Mining
    • 💰 Market Research & Pricing Analytics
    • 📊 Consumer Behavior Studies
    • 🤖 AI Model Training & Data Science Projects

    🧩 Key Highlights

    • 50,000+ mobile reviews scraped from top global sources
    • Reviews across 8 major countries and multiple platforms
    • Demographic data (customer name, age, location)
    • Verified purchase flags for reliability
    • Detailed product-level sub-ratings
    • Pricing in both USD and local currencies
    • Multilingual data support and country-specific sentiment distribution
    • Professionally cleaned and normalized for research applications

    📦 Brands Covered

    BrandSample Models
    AppleiPhone 14, iPhone 15 Pro
    SamsungGalaxy S24, Galaxy Z Flip, Note 20
    OnePlusOnePlus 12, OnePlus Nord 3, 11R
    XiaomiMi 13 Pro, Poco X6, Redmi Note 13
    GooglePixel 8, Pixel 7a
    RealmeRealme 12 Pro, Narzo 70
    MotorolaEdge 50, Moto G Power, Razr 40

    🌐 Countries Represented

    CountryCurrencyExample Locale
    IndiaINR (₹)en_IN
    USAUSD ($)en_US
    UKGBP (£)en_GB
    CanadaCAD (C$)en_CA
    GermanyEUR (€)de_DE
    AustraliaAUD (A$)en_AU
    BrazilBRL (R$)pt_BR
    UAEAED (د.إ)en_AE

    🧾 Example Record

    customer_nameagebrandmodelratingsentimentcountryprice_localverified_purchase
    Ayesha Nair28AppleiPhone 15 Pro5PositiveIndia₹124,500True

    📈 Research & Analytical Applications

    • Sentiment Mining: Detect sentiment polarity in real-world review text
    • Cross-Country Analysis: Compare satisfaction trends by region and currency
    • Price–Rating Studies: Explore pricing elasticity and value perception
    • Demographic Insights: Link sentiment to user age and verified purchase behavior
    • Market Comparison: Understand brand trust and perception across regions

    🧪 Data Collection & Research Approach

    This dataset was compiled through an extensive research process combining web scraping, content aggregation, and analytical validation from multiple open and public review sources including:

    • E-commerce platforms (e.g., Amazon, Flipkart, BestBuy, eBay)
    • Tech review forums and discussion threads
    • Mobile product feedback portals and blogs

    Data was then: - Filtered for quality and consistency
    - Mapped with real-world pricing and currency exchange rates
    - Manually validated for sentiment balance and linguistic variation

    ⚠️ Note: All data is collected from publicly available review information and anonymized for research and educational use only.
    No private or personally identifiable data was used or retained.

    🧩 Research Summary

    The dataset provides a multi-dimensional representation of the modern mobile ecosystem — integrating global pricing, sentiment trends, and demographic diversity to aid data scientists, researchers, and AI practitioners in building better understanding of customer perspectives.

  2. Global Mobile Phone Addiction Dataset

    • kaggle.com
    zip
    Updated Jun 4, 2025
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    Khushi Yadav (2025). Global Mobile Phone Addiction Dataset [Dataset]. https://www.kaggle.com/datasets/khushikyad001/global-mobile-phone-addiction-dataset
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    zip(181624 bytes)Available download formats
    Dataset updated
    Jun 4, 2025
    Authors
    Khushi Yadav
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    The mobile_addiction_data.csv file is a synthetic yet realistic dataset designed to model global patterns of mobile phone usage and behavioral addiction. It includes data for 3,000 individuals across 10 countries, capturing 35 variables per user. These variables encompass a wide range of information, including demographics (such as age, gender, income, and education), daily smartphone behaviors (like screen time, app usage, phone unlocks), lifestyle habits (sleep duration, physical activity), and self-reported mental health indicators (stress, anxiety, depression). The dataset also includes user-reported addiction levels, the presence of screen-time control tools, and indicators of tech engagement like data usage and push notifications. This dataset is ideal for exploratory data analysis, behavioral research, and building machine learning models related to digital addiction, mental health, and mobile technology usage patterns.

  3. Mobiles Dataset (2025)

    • kaggle.com
    zip
    Updated Feb 18, 2025
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    Abdul Malik (2025). Mobiles Dataset (2025) [Dataset]. https://www.kaggle.com/datasets/abdulmalik1518/mobiles-dataset-2025
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    zip(20314 bytes)Available download formats
    Dataset updated
    Feb 18, 2025
    Authors
    Abdul Malik
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    This dataset contains detailed specifications and official launch prices of various mobile phone models from different companies. It provides insights into smartphone hardware, pricing trends, and brand competitiveness across multiple countries. The dataset includes key features such as RAM, camera specifications, battery capacity, processor details, and screen size.

    One important aspect of this dataset is the pricing information. The recorded prices represent the official launch prices of the mobile phones at the time they were first introduced in the market. Prices vary based on the country and the launch period, meaning older models reflect their original launch prices, while newer models include their most recent launch prices. This makes the dataset valuable for studying price trends over time and comparing smartphone affordability across different regions.

    Features:

    • Company Name: The brand or manufacturer of the mobile phone.
    • Model Name: The specific model of the smartphone.
    • Mobile Weight: The weight of the mobile phone (in grams).
    • RAM: The amount of Random Access Memory (RAM) in the device (in GB).
    • Front Camera: The resolution of the front (selfie) camera (in MP).
    • Back Camera: The resolution of the primary rear camera (in MP).
    • Processor: The chipset or processor used in the device.
    • Battery Capacity: The battery size of the smartphone (in mAh).
    • Screen Size: The display size of the smartphone (in inches).
    • Launched Price: (Pakistan, India, China, USA, Dubai): The official launch price of the mobile in the respective country at the time of its release. Prices vary based on the year the mobile was launched.
    • Launched Year: The year the mobile phone was officially launched.
  4. Number of mobile devices worldwide 2020-2025

    • statista.com
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    Statista, Number of mobile devices worldwide 2020-2025 [Dataset]. https://www.statista.com/statistics/245501/multiple-mobile-device-ownership-worldwide/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2021, the number of mobile devices operating worldwide stood at almost 15 billion, up from just over 14 billion in the previous year. The number of mobile devices is expected to reach 18.22 billion by 2025, an increase of 4.2 billion devices compared to 2020 levels.

    Moving forward with 5G

    As the number of devices grows, so does our dependence on them to fulfill daily functions and activities. The use cases for mobile devices increasingly demand faster connection speeds and lower latency. The 5G network will be critical to fulfilling those demands, operating at significantly faster rates than 4G. In North America, for example, it is expected that there will be 218 million 5G connections, up from just ten million in 2020. This means around 48 percent of all mobile connections in North America. Globally, this figure should reach 20.1 percent by 2025.

    6G: looking beyond 5G

    While 5G has entered commercialization and is already creating new opportunities, researchers and engineers are already experimenting with 6G. Not only will the number of mobile devices continue to grow but cellular internet-of-things (IoT) devices are set to permeate more industrial sectors in the coming years, meaning a solution will eventually be required for network congestion and data transfer speeds.

    6G ought to be capable of solving those problems before they arise, potentially enabling a network connection density ten times greater than that of 5G, and peak data rates up to fifty times faster than the rate of 5G. The Federal Communications Commission in the United States has opened spectrum for experimentation, and China have already launched what is described as a 6G satellite, so that actual potential of 6G should be revealed over the coming decade.

  5. S

    Mobile Phone Usage Statistics 2025: What the Latest Data Reveals

    • sqmagazine.co.uk
    Updated Oct 1, 2025
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    SQ Magazine (2025). Mobile Phone Usage Statistics 2025: What the Latest Data Reveals [Dataset]. https://sqmagazine.co.uk/mobile-phone-usage-statistics/
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    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    SQ Magazine
    License

    https://sqmagazine.co.uk/privacy-policy/https://sqmagazine.co.uk/privacy-policy/

    Time period covered
    Jan 1, 2024 - Dec 31, 2025
    Area covered
    Global
    Description

    Imagine waking up to the gentle buzz of your phone, checking the morning news, scrolling through messages, and booking your ride to work, all before even leaving your bed. This small routine speaks volumes about the place mobile phones hold in our lives today. By 2025, mobile phones aren’t just...

  6. Real World Smartphone's Dataset

    • kaggle.com
    zip
    Updated Aug 2, 2023
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    Abhijit Dahatonde (2023). Real World Smartphone's Dataset [Dataset]. https://www.kaggle.com/datasets/abhijitdahatonde/real-world-smartphones-dataset
    Explore at:
    zip(17232 bytes)Available download formats
    Dataset updated
    Aug 2, 2023
    Authors
    Abhijit Dahatonde
    License

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

    Description

    This dataset provides a comprehensive collection of information about all the latest smartphones available in the market as of the current time.

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F13571604%2Fb608498b1cf7f70b9a22952566197db6%2FScreenshot%202023-08-02%20003740.png?generation=1690961033930490&alt=media" alt="">

    The dataset was created by web scraping reputable online sources to gather accurate and up-to-date information about various smartphone models, their specifications, features, and pricing.

  7. Number of smartphone users worldwide 2014-2029

    • statista.com
    • abripper.com
    Updated Jul 9, 2025
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    Statista (2025). Number of smartphone users worldwide 2014-2029 [Dataset]. https://www.statista.com/forecasts/1143723/smartphone-users-in-the-world
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    The global number of smartphone users in was forecast to continuously increase between 2024 and 2029 by in total *** billion users (+***** percent). After the fifteenth consecutive increasing year, the smartphone user base is estimated to reach *** billion users and therefore a new peak in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of smartphone users in countries like the Americas and Asia.

  8. Mobile phone penetration worldwide 2020, by country

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Mobile phone penetration worldwide 2020, by country [Dataset]. https://www.statista.com/forecasts/1144935/mobile-phone-penetration-by-country
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Albania
    Description

    This statistic shows a ranking of the estimated worldwide number of mobile cellular subscriptions per 100 inhabitants in 2020, differentiated by country. Included are only subscriptions that also allow voice communication over the Public Switched Telephone Network (PSTN). Pure data and M2M (machine-to-machine) connections are excluded.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than *** countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

  9. Phone Number Data | 50M+ Verified Phone Numbers for Global Professionals |...

    • datarade.ai
    Updated Jan 1, 2018
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    Success.ai (2018). Phone Number Data | 50M+ Verified Phone Numbers for Global Professionals | Contact Details from 170M+ Profiles - Best Price Guarantee [Dataset]. https://datarade.ai/data-products/phone-number-data-50m-verified-phone-numbers-for-global-pr-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    Mongolia, Panama, San Marino, Mozambique, Tonga, Korea (Democratic People's Republic of), Algeria, Uganda, Germany, Timor-Leste
    Description

    Success.ai’s Phone Number Data offers direct access to over 50 million verified phone numbers for professionals worldwide, extracted from our expansive collection of 170 million profiles. This robust dataset includes work emails and key decision-maker profiles, making it an essential resource for companies aiming to enhance their communication strategies and outreach efficiency. Whether you're launching targeted marketing campaigns, setting up sales calls, or conducting market research, our phone number data ensures you're connected to the right professionals at the right time.

    Why Choose Success.ai’s Phone Number Data?

    Direct Communication: Reach out directly to professionals with verified phone numbers and work emails, ensuring your message gets to the right person without delay. Global Coverage: Our data spans across continents, providing phone numbers for professionals in North America, Europe, APAC, and emerging markets. Continuously Updated: We regularly refresh our dataset to maintain accuracy and relevance, reflecting changes like promotions, company moves, or industry shifts. Comprehensive Data Points:

    Verified Phone Numbers: Direct lines and mobile numbers of professionals across various industries. Work Emails: Reliable email addresses to complement phone communications. Professional Profiles: Decision-makers’ profiles including job titles, company details, and industry information. Flexible Delivery and Integration: Success.ai offers this dataset in various formats suitable for seamless integration into your CRM or sales platform. Whether you prefer API access for real-time data retrieval or static files for periodic updates, we tailor the delivery to meet your operational needs.

    Competitive Pricing with Best Price Guarantee: We provide this essential data at the most competitive prices in the industry, ensuring you receive the best value for your investment. Our best price guarantee means you can trust that you are getting the highest quality data at the lowest possible cost.

    Targeted Applications for Phone Number Data:

    Sales and Telemarketing: Enhance your telemarketing campaigns by reaching out directly to potential customers, bypassing gatekeepers. Market Research: Conduct surveys and research directly with industry professionals to gather insights that can shape your business strategy. Event Promotion: Invite prospects to webinars, conferences, and seminars directly through personal calls or SMS. Customer Support: Improve customer service by integrating accurate contact information into your support systems. Quality Assurance and Compliance:

    Data Accuracy: Our data is verified for accuracy to ensure over 99% deliverability rates. Compliance: Fully compliant with GDPR and other international data protection regulations, allowing you to use the data with confidence globally. Customization and Support:

    Tailored Data Solutions: Customize the data according to geographic, industry-specific, or job role filters to match your unique business needs. Dedicated Support: Our team is on hand to assist with data integration, usage, and any questions you may have. Start with Success.ai Today: Engage with Success.ai to leverage our Phone Number Data and connect with global professionals effectively. Schedule a consultation or request a sample through our dedicated client portal and begin transforming your outreach and communication strategies today.

    Remember, with Success.ai, you don’t just buy data; you invest in a partnership that grows with your business needs, backed by our commitment to quality and affordability.

  10. Mobile Phone Market Analysis, Size, and Forecast 2025-2029: APAC (China,...

    • technavio.com
    pdf
    Updated Jan 18, 2025
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    Technavio (2025). Mobile Phone Market Analysis, Size, and Forecast 2025-2029: APAC (China, India, Japan, South Korea), Europe (France, Germany, Italy, Spain, UK), North America (Canada and Mexico), Middle East and Africa (UAE), and South America (Brazil) [Dataset]. https://www.technavio.com/report/mobile-phone-market-industry-analysis
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    pdfAvailable download formats
    Dataset updated
    Jan 18, 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
    Area covered
    United Kingdom, Europe, Italy, Canada, Japan, Spain, Mexico, France, Germany
    Description

    Snapshot img

    Mobile Phone Market Size 2025-2029

    The mobile phone market size is forecast to increase by USD 213.9 billion at a CAGR of 6.8% between 2024 and 2029.

    The market is experiencing significant growth, driven primarily by the increasing adoption of smartphones. According to recent data, sales of mobile phones, particularly smartphones, through e-commerce platforms have surged, indicating a strong consumer demand. This trend is expected to continue as more consumers shift towards online shopping for convenience and accessibility. However, the market faces challenges related to security and privacy concerns with smartphone usage. With the increasing amount of personal data being stored and transmitted through mobile devices, there is a growing need for robust security measures to protect against cyber threats. Companies in the market must prioritize addressing these concerns through innovative solutions and transparent communication with consumers to build trust and maintain market competitiveness. Effective strategies for navigating these challenges include investing in advanced security features, implementing data protection policies, and providing clear and concise information to consumers about their privacy practices. By focusing on these key drivers and challenges, companies can capitalize on market opportunities and position themselves for long-term success in the market.

    What will be the Size of the Mobile Phone Market during the forecast period?

    Request Free SampleThe market continues to evolve at an unprecedented pace, with technological advancements and shifting consumer preferences shaping its dynamics. Optical and digital zoom capabilities enhance photographic experiences, while artificial intelligence (AI) and machine learning algorithms elevate user experience (UX) through personalized recommendations and seamless interactions. Mobile gaming gains traction, fueled by improved graphics and processing power. Fingerprint sensors and biometric authentication offer enhanced security, and image stabilization ensures crisp, clear images. Mobile hardware innovations, such as high refresh rates, push the boundaries of performance. The integration of AI, biometric authentication, and UX design continues to redefine mobile design, as mobile data, network, and advertising industries adapt to meet evolving consumer demands. Camera technology, mobile payments, app development, and streaming services further expand the market's reach, with augmented reality (AR) and virtual reality (VR) applications poised to revolutionize industries. Mobile marketing and wireless charging solutions cater to the growing need for convenience and connectivity. The mobile landscape remains a dynamic and ever-evolving ecosystem, with continuous innovation and adaptation shaping its future.

    How is this Mobile Phone Industry segmented?

    The mobile phone industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. Distribution ChannelOfflineOnlineTypeSmartphoneFeature phonePrice-RangeBudgetMid-RangePremiumOperating System AndroidiOSOthersGeographyNorth AmericaUSCanadaMexicoEuropeFranceGermanyItalySpainUKMiddle East and AfricaUAEAPACChinaIndiaJapanSouth KoreaSouth AmericaBrazilRest of World (ROW)

    By Distribution Channel Insights

    The offline segment is estimated to witness significant growth during the forecast period.In the dynamic the market, various entities shape consumer behavior and market trends. Social media platforms serve as a powerful tool for mobile marketing, enabling brands to engage with customers and promote their latest offerings. Mobile security remains a top priority, with mobile software providers continuously releasing updates to safeguard against threats. Mobile tariffs vary, offering consumers diverse pricing plans, including pay-as-you-go and monthly subscriptions. Feature phones cater to budget-conscious consumers, while fast charging and long battery life are desirable features for power users. Mobile operating systems, such as Android and iOS, dominate the market, providing a seamless user experience (UX) through mobile design and intuitive mobile apps. Virtual reality (VR) and augmented reality (AR) technologies offer immersive experiences, while optical zoom and digital zoom enhance camera capabilities. Artificial intelligence (AI) and machine learning integrate into mobile hardware, improving functionality and convenience. Biometric authentication, including fingerprint sensors and facial recognition, adds an extra layer of security. Mobile gaming, streaming services, and mobile payments cater to diverse consumer preferences. App development continues to evolve, with mobile advertising and data privacy becoming increasingly important considerations. Mobile service providers offer various plans

  11. e

    Mobile phones under 85076090 global trade Data, Mobile phones trade data

    • eximpedia.app
    Updated Jan 31, 2023
    + more versions
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    (2023). Mobile phones under 85076090 global trade Data, Mobile phones trade data [Dataset]. https://www.eximpedia.app/search/hs-code-85076090-of-mobile-phones-global-trade
    Explore at:
    Dataset updated
    Jan 31, 2023
    Description

    Global trade data of Mobile phones under 85076090, 85076090 global trade data, trade data of Mobile phones from 80+ Countries.

  12. v

    Global exporters importers-export import data of Used mobile phones

    • volza.com
    csv
    Updated Nov 29, 2025
    + more versions
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    Volza FZ LLC (2025). Global exporters importers-export import data of Used mobile phones [Dataset]. https://www.volza.com/p/used-mobile-phones/
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    csvAvailable download formats
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Volza FZ LLC
    License

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

    Variables measured
    Count of exporters, Count of importers, Count of shipments, Sum of export import value
    Description

    328124 Global exporters importers export import shipment records of Used mobile phones with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  13. M

    Mobile Phone Data Line Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Oct 26, 2025
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    Data Insights Market (2025). Mobile Phone Data Line Report [Dataset]. https://www.datainsightsmarket.com/reports/mobile-phone-data-line-1362131
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Oct 26, 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 Mobile Phone Data Line market is poised for robust expansion, projected to reach a significant valuation from its current base. Driven by the ubiquitous nature of smartphones and the ever-increasing demand for data transfer, charging, and connectivity, the market is expected to witness a Compound Annual Growth Rate (CAGR) of 5.4% over the forecast period of 2025-2033. This sustained growth is underpinned by several key factors. The relentless pace of technological advancement in mobile devices, including the adoption of faster charging standards and higher data transfer speeds, directly fuels the demand for advanced and compatible data cables. Furthermore, the proliferation of smartphones across all demographics and economic strata, particularly in emerging economies, creates a vast and continuously expanding user base. The increasing reliance on cloud services, online content consumption, and mobile gaming necessitates efficient and reliable data transfer solutions, further boosting the market. The market is segmented into Offline and Online distribution channels, with the Online segment experiencing accelerated growth due to the convenience and competitive pricing offered by e-commerce platforms. Type-C connectors are dominating the market, reflecting their widespread adoption in modern smartphones, alongside continued demand for Micro-B and iPhone-specific cables. The "All in One" cable segment is also gaining traction, catering to users seeking versatility and reduced clutter. The competitive landscape for mobile phone data lines is highly fragmented, featuring a mix of global tech giants and specialized accessory manufacturers. Key players like Samsung, Apple, Xiaomi (MI), OPPO, Vivo, Huawei, Anker, and Ugreen are actively innovating and expanding their product portfolios to capture market share. The market is characterized by intense price competition, particularly in the offline segment, while online channels offer opportunities for brands to differentiate through product features, durability, and brand reputation. Emerging trends include the development of faster charging technologies such as USB Power Delivery (PD) and Qualcomm Quick Charge, as well as the integration of features like data encryption and reinforced cable construction for enhanced durability. Geographically, the Asia Pacific region, led by China and India, is expected to be the largest and fastest-growing market, owing to its massive smartphone user base and burgeoning digital economy. North America and Europe also represent significant markets, driven by high smartphone penetration and a strong demand for premium accessories. Restraints, such as the increasing lifespan of some mobile devices and the growing adoption of wireless charging solutions, are being offset by the continued need for wired connectivity for optimal performance and versatility. This report provides an in-depth analysis of the global Mobile Phone Data Line market, encompassing a Study Period from 2019 to 2033, with the Base Year and Estimated Year set at 2025, and a Forecast Period from 2025 to 2033. The Historical Period analyzed is from 2019 to 2024. The market is segmented by application, type, and industry developments, offering a detailed view of its dynamics.

  14. e

    Global Mobile Phone Data Line Market Research Report By Product Type (USB...

    • exactitudeconsultancy.com
    Updated May 2025
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    Exactitude Consultancy (2025). Global Mobile Phone Data Line Market Research Report By Product Type (USB Type-C, Lightning, Micro USB), By Application (Data Transfer, Charging, Syncing), By End User (Individual Consumers, Enterprises), By Technology (Wired, Wireless), By Distribution Channel (Online Retail, Offline Retail) – Forecast to 2034. [Dataset]. https://exactitudeconsultancy.com/reports/61044/global-mobile-phone-data-line-market
    Explore at:
    Dataset updated
    May 2025
    Dataset authored and provided by
    Exactitude Consultancy
    License

    https://exactitudeconsultancy.com/privacy-policyhttps://exactitudeconsultancy.com/privacy-policy

    Description

    The global mobile phone data line market is projected to be valued at $10.5 billion in 2024, driven by factors such as increasing consumer awareness and the rising prevalence of industry-specific trends. The market is expected to grow at a CAGR of 4.8%, reaching approximately $16.8 billion by 2034.

  15. v

    Global import data of Used Mobile Phones

    • volza.com
    csv
    Updated Nov 14, 2025
    + more versions
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    Volza FZ LLC (2025). Global import data of Used Mobile Phones [Dataset]. https://www.volza.com/imports-russia/russia-import-data-of-used+mobile+phones
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 14, 2025
    Dataset authored and provided by
    Volza FZ LLC
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    18 Global import shipment records of Used Mobile Phones with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  16. v

    Global export data of Used Mobile Phones

    • volza.com
    csv
    Updated Jul 11, 2025
    + more versions
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    Volza FZ LLC (2025). Global export data of Used Mobile Phones [Dataset]. https://www.volza.com/p/used-mobile-phones/export/export-from-taiwan/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Volza FZ LLC
    License

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

    Variables measured
    Count of exporters, Sum of export value, 2014-01-01/2021-09-30, Count of export shipments
    Description

    52 Global export shipment records of Used Mobile Phones with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  17. R

    Russia No of Mobile Phones: per 100 Households: NW: City of St Petersburg

    • ceicdata.com
    Updated Jun 22, 2017
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    CEICdata.com (2017). Russia No of Mobile Phones: per 100 Households: NW: City of St Petersburg [Dataset]. https://www.ceicdata.com/en/russia/number-of-household-goods-per-100-household-mobile-phone/no-of-mobile-phones-per-100-households-nw-city-of-st-petersburg
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    Dataset updated
    Jun 22, 2017
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Russia
    Variables measured
    Household Income and Expenditure Survey
    Description

    Number of Mobile Phones: per 100 Households: NW: City of St Petersburg data was reported at 246.000 Unit in 2022. This records an increase from the previous number of 31.000 Unit for 2021. Number of Mobile Phones: per 100 Households: NW: City of St Petersburg data is updated yearly, averaging 163.500 Unit from Dec 2001 (Median) to 2022, with 22 observations. The data reached an all-time high of 273.000 Unit in 2014 and a record low of 10.000 Unit in 2001. Number of Mobile Phones: per 100 Households: NW: City of St Petersburg data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HB020: Number of Household Goods per 100 Household: Mobile Phone.

  18. v

    Global export data of Samsung Mobile Phones

    • volza.com
    csv
    Updated Nov 25, 2025
    + more versions
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    Volza FZ LLC (2025). Global export data of Samsung Mobile Phones [Dataset]. https://www.volza.com/p/samsung-mobile-phones/export/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 25, 2025
    Dataset authored and provided by
    Volza FZ LLC
    License

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

    Variables measured
    Count of exporters, Sum of export value, 2014-01-01/2021-09-30, Count of export shipments
    Description

    1022595 Global export shipment records of Samsung Mobile Phones with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  19. d

    Phone Number Data | Global Coverage | 100M+ B2B Mobile Phone Numbers | 95%+...

    • datarade.ai
    .json, .csv
    + more versions
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    Forager.ai, Phone Number Data | Global Coverage | 100M+ B2B Mobile Phone Numbers | 95%+ Accuracy [Dataset]. https://datarade.ai/data-products/global-mobile-phone-number-data-90m-95-accuracy-api-b-forager-ai-905f
    Explore at:
    .json, .csvAvailable download formats
    Dataset provided by
    Forager.ai
    Area covered
    Martinique, Moldova (Republic of), South Georgia and the South Sandwich Islands, United Arab Emirates, Uruguay, Macedonia (the former Yugoslav Republic of), Colombia, Japan, Botswana, Cambodia
    Description

    Global B2B Mobile Phone Number Database | 100M+ Verified Contacts | 95% Accuracy Forager.ai provides the world’s most reliable mobile phone number data for businesses that refuse to compromise on quality. With 100 million+ professionally verified mobile numbers refreshed every 3 weeks, our database ensures 95% accuracy – so your teams never waste time on dead-end leads.

    Why Our Data Wins ✅ Accuracy You Can Trust 95% of mobile numbers are verified against live carrier records and tied to current job roles. Say goodbye to “disconnected number” voicemails.

    ✅ Depth Beyond Digits Each contact includes 150+ data points:

    Direct mobile numbers

    Current job title, company, and department

    Full career history + education background

    Location data + LinkedIn profiles

    Company size, industry, and revenue

    ✅ Freshness Guaranteed Bi-weekly updates combat job-hopping and role changes – critical for sales teams targeting decision-makers.

    ✅ Ethically Sourced & Compliant First-party collected data with full GDPR/CCPA compliance.

    Who Uses This Data?

    Sales Teams: Cold-call C-suite prospects with verified mobile numbers.

    Marketers: Run hyper-personalized SMS/WhatsApp campaigns.

    Recruiters: Source passive candidates with up-to-date contact intel.

    Data Vendors: License premium datasets to enhance your product.

    Tech Platforms: Power your SaaS tools via API with enterprise-grade B2B data.

    Flexible Delivery, Instant Results

    API (REST): Real-time integration for CRMs, dialers, or marketing stacks

    CSV/JSON: Campaign-ready files.

    PostgreSQL: Custom databases for large-scale enrichment

    Compliance: Full audit trails + opt-out management

    Why Forager.ai? → Proven ROI: Clients see 62% higher connect rates vs. industry averages (request case studies). → No Guesswork: Test-drive free samples before committing. → Scalable Pricing: Pay per record, license datasets, or get unlimited API access.

    B2B Mobile Phone Data | Verified Contact Database | Sales Prospecting Lists | CRM Enrichment | Recruitment Phone Numbers | Marketing Automation | Phone Number Datasets | GDPR-Compliant Leads | Direct Dial Contacts | Decision-Maker Data

    Need Proof? Contact us to see why Fortune 500 companies and startups alike trust Forager.ai for mission-critical outreach.

  20. v

    Global import data of Mobile Phones

    • volza.com
    csv
    Updated Nov 14, 2025
    + more versions
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    Volza FZ LLC (2025). Global import data of Mobile Phones [Dataset]. https://www.volza.com/imports-united-states/united-states-import-data-of-mobile+phones
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 14, 2025
    Dataset authored and provided by
    Volza FZ LLC
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    306283 Global import shipment records of Mobile Phones with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

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Mohan Krishna Thalla (2025). Global Mobile Reviews Dataset (2025 Edition) [Dataset]. https://www.kaggle.com/datasets/mohankrishnathalla/mobile-reviews-sentiment-and-specification
Organization logo

Global Mobile Reviews Dataset (2025 Edition)

Comprehensive research dataset of 50,000+ mobile phone reviews from global users

Explore at:
zip(2211906 bytes)Available download formats
Dataset updated
Oct 22, 2025
Authors
Mohan Krishna Thalla
License

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

Description

📱 Global Mobile Reviews Dataset (2025 Edition)

🌍 Research-Based, Web-Scraped Global Review Collection

This dataset presents a curated collection of over 50,000 mobile phone reviews gathered through web scraping, market analysis, and content aggregation from multiple e-commerce and tech review platforms.
It covers eight countries and includes detailed user opinions, ratings, sentiment polarity, and pricing data across leading smartphone brands.

Each record captures customer experience holistically — spanning demographics, verified purchase details, multi-aspect ratings, and currency-adjusted pricing — making this dataset a powerful asset for research, NLP, and analytics.

🎯 Ideal For

  • 🧠 Sentiment Analysis & NLP Modeling
  • 💬 Text Classification & Review Mining
  • 💰 Market Research & Pricing Analytics
  • 📊 Consumer Behavior Studies
  • 🤖 AI Model Training & Data Science Projects

🧩 Key Highlights

  • 50,000+ mobile reviews scraped from top global sources
  • Reviews across 8 major countries and multiple platforms
  • Demographic data (customer name, age, location)
  • Verified purchase flags for reliability
  • Detailed product-level sub-ratings
  • Pricing in both USD and local currencies
  • Multilingual data support and country-specific sentiment distribution
  • Professionally cleaned and normalized for research applications

📦 Brands Covered

BrandSample Models
AppleiPhone 14, iPhone 15 Pro
SamsungGalaxy S24, Galaxy Z Flip, Note 20
OnePlusOnePlus 12, OnePlus Nord 3, 11R
XiaomiMi 13 Pro, Poco X6, Redmi Note 13
GooglePixel 8, Pixel 7a
RealmeRealme 12 Pro, Narzo 70
MotorolaEdge 50, Moto G Power, Razr 40

🌐 Countries Represented

CountryCurrencyExample Locale
IndiaINR (₹)en_IN
USAUSD ($)en_US
UKGBP (£)en_GB
CanadaCAD (C$)en_CA
GermanyEUR (€)de_DE
AustraliaAUD (A$)en_AU
BrazilBRL (R$)pt_BR
UAEAED (د.إ)en_AE

🧾 Example Record

customer_nameagebrandmodelratingsentimentcountryprice_localverified_purchase
Ayesha Nair28AppleiPhone 15 Pro5PositiveIndia₹124,500True

📈 Research & Analytical Applications

  • Sentiment Mining: Detect sentiment polarity in real-world review text
  • Cross-Country Analysis: Compare satisfaction trends by region and currency
  • Price–Rating Studies: Explore pricing elasticity and value perception
  • Demographic Insights: Link sentiment to user age and verified purchase behavior
  • Market Comparison: Understand brand trust and perception across regions

🧪 Data Collection & Research Approach

This dataset was compiled through an extensive research process combining web scraping, content aggregation, and analytical validation from multiple open and public review sources including:

  • E-commerce platforms (e.g., Amazon, Flipkart, BestBuy, eBay)
  • Tech review forums and discussion threads
  • Mobile product feedback portals and blogs

Data was then: - Filtered for quality and consistency
- Mapped with real-world pricing and currency exchange rates
- Manually validated for sentiment balance and linguistic variation

⚠️ Note: All data is collected from publicly available review information and anonymized for research and educational use only.
No private or personally identifiable data was used or retained.

🧩 Research Summary

The dataset provides a multi-dimensional representation of the modern mobile ecosystem — integrating global pricing, sentiment trends, and demographic diversity to aid data scientists, researchers, and AI practitioners in building better understanding of customer perspectives.

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