16 datasets found
  1. 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
    Explore at:
    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.
  2. Mobile Wireless Providers Market Share in the US, 2016

    • reportlinker.com
    Updated Apr 11, 2024
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    ReportLinker (2024). Mobile Wireless Providers Market Share in the US, 2016 [Dataset]. https://www.reportlinker.com/dataset/59f2e6f51ffb17bec8aa69c95065d944837626ea
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    Dataset updated
    Apr 11, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Area covered
    United States
    Description

    Mobile Wireless Providers Market Share in the US, 2016 Discover more data with ReportLinker!

  3. Global smartphone sales to end users 2007-2023

    • statista.com
    Updated Apr 25, 2014
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    Statista (2014). Global smartphone sales to end users 2007-2023 [Dataset]. https://www.statista.com/statistics/263437/global-smartphone-sales-to-end-users-since-2007/
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    Dataset updated
    Apr 25, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2022, smartphone vendors sold around 1.39 billion smartphones were sold worldwide, with this number forecast to drop to 1.34 billion in 2023.

    Smartphone penetration rate still on the rise

    Less than half of the world’s total population owned a smart device in 2016, but the smartphone penetration rate has continued climbing, reaching 78.05 percent in 2020. By 2025, it is forecast that almost 87 percent of all mobile users in the United States will own a smartphone, an increase from the 27 percent of mobile users in 2010.

    Smartphone end user sales

    In the United States alone, sales of smartphones were projected to be worth around 73 billion U.S. dollars in 2021, an increase from 18 billion dollars in 2010. Global sales of smartphones are expected to increase from 2020 to 2021 in every major region, as the market starts to recover from the initial impact of the coronavirus (COVID-19) pandemic.

  4. Top 5 Phone Brands 2022 on Amazon

    • kaggle.com
    zip
    Updated Feb 16, 2023
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    Caroline(Yuanmo) Zhu (2023). Top 5 Phone Brands 2022 on Amazon [Dataset]. https://www.kaggle.com/datasets/yuanmozhu/top-5-phone-brands-2022-on-amazon
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    zip(5202 bytes)Available download formats
    Dataset updated
    Feb 16, 2023
    Authors
    Caroline(Yuanmo) Zhu
    License

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

    Description

    Background

    This dataset includes the top 10 search results of smartphone brands on Amazon in the US. The brands included here are SAMSUNG, Apple, HUAWEI, XIAOMI, and OPPO, which are also the top 5 smartphones worldwide by the amount of shipment. The top 10 search results of each brand are based on the current average buyer review grades. This may change when you go to Amazon to cross-check.

    Clarification on certain special columns

    For the feature headers and feature values, these two columns' data values are separated by space and tab and the order corresponds with each other. For example, in the first line: The feature headers as follows: Brand Model Name Wireless Carrier OS Cellular Technology Memory Storage Capacity Connectivity technologies Color Screen Size Wireless network technology
    corresponds to
    The feature values as follows: SAMSUNG Samsung Galaxy S23 Unlocked for All Carriers Android 13.0 5G 256 GB Bluetooth, Wi-Fi, USB, NFC Lavender 6.1 Inches GSM, CDMA, LTE

    Some inspirations on data analytics

    📍 Comparison analysis on brands based on top 10 search result phone models, ratings, and product features including technologies, colors, screen size, etc. Figure out if there exists any significant common or different traits or trends of the top 5 brands. 📍 Clustering analysis to see if there exist any noteworthy groups with certain features. 📍 Regression analysis on features and see how each potentially contributes to the ratings or sales.

    Caution

    The sample size of this dataset is just 61 records and the data here only represents brands' sales and top-rating products on Amazon. Conclusions drawn can be biased but still give a general idea or some clues on the smartphone market segmentation and potential strategies taken by different brands to differentiate.

  5. Cellular Towers In USA

    • kaggle.com
    zip
    Updated Mar 9, 2023
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    Jahaidul Islam (2023). Cellular Towers In USA [Dataset]. https://www.kaggle.com/datasets/jahaidulislam/cellular-towers-in-usa
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    zip(2256523 bytes)Available download formats
    Dataset updated
    Mar 9, 2023
    Authors
    Jahaidul Islam
    License

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

    Description

    The Cellular Towers in USA dataset is a collection of data that provides information about cellular towers located in the United States. The dataset includes information about the location, ownership, and technical specifications of over 47,000 cellular towers.

    Each record in the dataset contains the following information:

    • Object ID
    • Unique System ID
    • Licensee
    • Latitude
    • Longitude
    • Structure Type
    • Location Address
    • Location City
    • Location State
    • URL

    This dataset can be useful for a variety of purposes, including:

    • Analyzing the coverage and quality of cellular networks in the United States
    • Identifying areas with a high density of cellular towers
    • Evaluating the market share of different cellular tower owners
  6. p

    USA Email Data

    • listtodata.com
    .csv, .xls, .txt
    Updated Jul 17, 2025
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    List to Data (2025). USA Email Data [Dataset]. https://listtodata.com/usa-email-list
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    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jul 17, 2025
    Authors
    List to Data
    License

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

    Time period covered
    Jan 1, 2025 - Dec 31, 2025
    Area covered
    United States
    Variables measured
    phone numbers, Email Address, full name, Address, City, State, gender,age,income,ip address,
    Description

    USA email data connects you directly to industry leaders, optimizing your sales process and increasing your market share. Access the vast US market with our premium USA email data. This comprehensive resource provides access to a massive network of contacts. As a result, you can increase your brand visibility and drive sales. Moreover, our data is regularly updated and verified. Therefore, you can improve your marketing ROI. Consequently, you can target specific demographics and industries. Furthermore, this valuable resource allows you to connect with key decision-makers. Finally, List to Data offers this powerful dataset to fuel your business growth in the USA. USA consumer email list simplifies your outreach efforts, ensuring your message reaches the right audience and generates meaningful engagement. Access the vast US market with our premium USA consumer email list. This comprehensive resource provides access to a massive network of potential customers. As a result, you can increase your brand visibility and drive sales. Moreover, our data is regularly updated and verified. Therefore, you can improve your marketing ROI. Consequently, you can target specific demographics and regions. Furthermore, this valuable resource allows you to connect with key decision-makers. Finally, List to Data offers this powerful dataset to fuel your business growth in the USA. USA business email list is a valuable resource for reaching professionals in the USA. This database offers verified leads to ensure your campaigns are targeted and effective. Additionally, it is designed to save time and effort. Moreover, the directory is regularly updated for accuracy. Furthermore, it provides a seamless way to expand your market reach. As a result, you can boost engagement and drive growth. In addition, this library of contacts is ideal for B2B and B2C outreach. Finally, trust List To Data to deliver a dataset that enhances your marketing efforts and delivers measurable results.

  7. d

    Small Business Contact Data | North American Small Business Owners |...

    • datarade.ai
    Updated Oct 27, 2021
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    Success.ai (2021). Small Business Contact Data | North American Small Business Owners | Verified Contact Details from 170M Profiles | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/small-business-contact-data-north-american-small-business-o-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Success.ai
    Area covered
    Mexico, Panama, Greenland, United States of America, Saint Pierre and Miquelon, Belize, Costa Rica, Guatemala, Bermuda, Honduras
    Description

    Access B2B Contact Data for North American Small Business Owners with Success.ai—your go-to provider for verified, high-quality business datasets. This dataset is tailored for businesses, agencies, and professionals seeking direct access to decision-makers within the small business ecosystem across North America. With over 170 million professional profiles, it’s an unparalleled resource for powering your marketing, sales, and lead generation efforts.

    Key Features of the Dataset:

    Verified Contact Details

    Includes accurate and up-to-date email addresses and phone numbers to ensure you reach your targets reliably.

    AI-validated for 99% accuracy, eliminating errors and reducing wasted efforts.

    Detailed Professional Insights

    Comprehensive data points include job titles, skills, work experience, and education to enable precise segmentation and targeting.

    Enriched with insights into decision-making roles, helping you connect directly with small business owners, CEOs, and other key stakeholders.

    Business-Specific Information

    Covers essential details such as industry, company size, location, and more, enabling you to tailor your campaigns effectively. Ideal for profiling and understanding the unique needs of small businesses.

    Continuously Updated Data

    Our dataset is maintained and updated regularly to ensure relevance and accuracy in fast-changing market conditions. New business contacts are added frequently, helping you stay ahead of the competition.

    Why Choose Success.ai?

    At Success.ai, we understand the critical importance of high-quality data for your business success. Here’s why our dataset stands out:

    Tailored for Small Business Engagement Focused specifically on North American small business owners, this dataset is an invaluable resource for building relationships with SMEs (Small and Medium Enterprises). Whether you’re targeting startups, local businesses, or established small enterprises, our dataset has you covered.

    Comprehensive Coverage Across North America Spanning the United States, Canada, and Mexico, our dataset ensures wide-reaching access to verified small business contacts in the region.

    Categories Tailored to Your Needs Includes highly relevant categories such as Small Business Contact Data, CEO Contact Data, B2B Contact Data, and Email Address Data to match your marketing and sales strategies.

    Customizable and Flexible Choose from a wide range of filtering options to create datasets that meet your exact specifications, including filtering by industry, company size, geographic location, and more.

    Best Price Guaranteed We pride ourselves on offering the most competitive rates without compromising on quality. When you partner with Success.ai, you receive superior data at the best value.

    Seamless Integration Delivered in formats that integrate effortlessly with your CRM, marketing automation, or sales platforms, so you can start acting on the data immediately.

    Use Cases: This dataset empowers you to:

    Drive Sales Growth: Build and refine your sales pipeline by connecting directly with decision-makers in small businesses. Optimize Marketing Campaigns: Launch highly targeted email and phone outreach campaigns with verified contact data. Expand Your Network: Leverage the dataset to build relationships with small business owners and other key figures within the B2B landscape. Improve Data Accuracy: Enhance your existing databases with verified, enriched contact information, reducing bounce rates and increasing ROI. Industries Served: Whether you're in B2B SaaS, digital marketing, consulting, or any field requiring accurate and targeted contact data, this dataset serves industries of all kinds. It is especially useful for professionals focused on:

    Lead Generation Business Development Market Research Sales Outreach Customer Acquisition What’s Included in the Dataset: Each profile provides:

    Full Name Verified Email Address Phone Number (where available) Job Title Company Name Industry Company Size Location Skills and Professional Experience Education Background With over 170 million profiles, you can tap into a wealth of opportunities to expand your reach and grow your business.

    Why High-Quality Contact Data Matters: Accurate, verified contact data is the foundation of any successful B2B strategy. Reaching small business owners and decision-makers directly ensures your message lands where it matters most, reducing costs and improving the effectiveness of your campaigns. By choosing Success.ai, you ensure that every contact in your pipeline is a genuine opportunity.

    Partner with Success.ai for Better Data, Better Results: Success.ai is committed to delivering premium-quality B2B data solutions at scale. With our small business owner dataset, you can unlock the potential of North America's dynamic small business market.

    Get Started Today Request a sample or customize your dataset to fit your unique...

  8. R

    Mobile Robot Dataset Versioning Market Research Report 2033

    • researchintelo.com
    csv, pdf, pptx
    Updated Oct 1, 2025
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    Research Intelo (2025). Mobile Robot Dataset Versioning Market Research Report 2033 [Dataset]. https://researchintelo.com/report/mobile-robot-dataset-versioning-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    Research Intelo
    License

    https://researchintelo.com/privacy-and-policyhttps://researchintelo.com/privacy-and-policy

    Time period covered
    2024 - 2033
    Area covered
    Global
    Description

    Mobile Robot Dataset Versioning Market Outlook



    According to our latest research, the Global Mobile Robot Dataset Versioning market size was valued at $327 million in 2024 and is projected to reach $1.26 billion by 2033, expanding at a robust CAGR of 16.7% during the forecast period of 2025–2033. The primary growth driver for this market is the increasing adoption of advanced robotics across industries, which demands reliable, scalable, and version-controlled datasets to fuel AI and machine learning algorithms for mobile robots. As industries accelerate their automation initiatives, the need for accurate, up-to-date, and well-managed datasets becomes critical to ensuring operational efficiency, safety, and performance of mobile robotic systems. This trend is further amplified by the proliferation of autonomous systems in logistics, healthcare, and manufacturing, where real-time data integrity and traceability are essential.



    Regional Outlook



    North America currently holds the largest share of the global Mobile Robot Dataset Versioning market, accounting for approximately 38% of total market value in 2024. The region’s dominance is underpinned by its mature technology ecosystem, significant investments in robotics research, and widespread adoption of mobile robots across sectors such as logistics, automotive, and healthcare. Leading technology companies and research institutes in the United States and Canada are at the forefront of developing sophisticated dataset versioning solutions, leveraging advanced cloud infrastructure and robust cybersecurity frameworks. Additionally, supportive government policies and funding for AI and robotics innovation have accelerated the deployment of dataset versioning tools, making North America a pivotal hub for market growth and technological advancement.



    In contrast, the Asia Pacific region is emerging as the fastest-growing market, projected to register an impressive CAGR of 19.4% from 2025 to 2033. This rapid expansion is driven by escalating investments in automation, particularly in China, Japan, and South Korea, where manufacturing and logistics sectors are undergoing digital transformation. The region benefits from a burgeoning startup ecosystem, increased government support for Industry 4.0 initiatives, and a rising demand for smart warehouses and autonomous vehicles. As regional enterprises accelerate the integration of mobile robots, the need for scalable, cloud-based dataset versioning solutions becomes paramount, fueling market growth. Furthermore, collaborations between local universities, global tech giants, and government agencies are fostering innovation and accelerating the adoption of best practices in data management and version control.



    Emerging economies in Latin America, the Middle East, and Africa are witnessing gradual adoption of mobile robot dataset versioning solutions, albeit at a slower pace due to infrastructural and regulatory challenges. Limited access to advanced IT infrastructure, a shortage of skilled personnel, and varying data privacy regulations pose significant hurdles to widespread implementation. However, localized demand from sectors such as mining, oil & gas, and agriculture is creating niche opportunities for dataset versioning tools tailored to specific operational environments. Policymakers in these regions are increasingly recognizing the potential of robotics and AI, introducing pilot programs and incentives to stimulate market growth. As awareness grows and digital infrastructure improves, these regions are expected to contribute more significantly to the global market in the latter part of the forecast period.



    Report Scope





    Attributes Details
    Report Title Mobile Robot Dataset Versioning Market Research Report 2033
    By Component Software, Hardware, Services
    By Application Autonomous Navigation, Mapping and Localization, Object Detection and Recognition, Path Planning, Others
  9. Penetration rate of smartphones in the United States 2014-2029

    • statista.com
    Updated Dec 18, 2023
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    Statista Research Department (2023). Penetration rate of smartphones in the United States 2014-2029 [Dataset]. https://www.statista.com/topics/982/mobile-payments/
    Explore at:
    Dataset updated
    Dec 18, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The smartphone penetration in the United States was forecast to continuously increase between 2024 and 2029 by in total 1.3 percentage points. The penetration is estimated to amount to 97 percent in 2029. Notably, the smartphone penetration of was continuously increasing over the past years.The penetration rate refers to the share of the total population.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 150 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 smartphone penetration in countries like Mexico and Canada.

  10. b

    Apple Statistics (2025)

    • businessofapps.com
    Updated Jul 20, 2025
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    Business of Apps (2025). Apple Statistics (2025) [Dataset]. https://www.businessofapps.com/data/apple-statistics/
    Explore at:
    Dataset updated
    Jul 20, 2025
    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...

  11. D

    Mobile Robot Benchmark Datasets Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Mobile Robot Benchmark Datasets Market Research Report 2033 [Dataset]. https://dataintelo.com/report/mobile-robot-benchmark-datasets-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Mobile Robot Benchmark Datasets Market Outlook



    According to our latest research, the global Mobile Robot Benchmark Datasets market size reached USD 1.12 billion in 2024, driven by the rapid adoption of autonomous systems across various industries and the increasing need for standardized evaluation tools. The market is projected to grow at a robust CAGR of 18.7% from 2025 to 2033, with the market size expected to reach USD 5.89 billion by 2033. Key growth factors include the expanding deployment of mobile robots in logistics, healthcare, and defense, as well as the rising demand for high-quality, diverse datasets to train and benchmark advanced robotic algorithms.




    One of the primary drivers fueling the growth of the Mobile Robot Benchmark Datasets market is the surging adoption of autonomous mobile robots (AMRs) across various industrial and commercial sectors. Industries such as logistics, warehousing, and manufacturing are increasingly relying on AMRs to optimize operational efficiency, reduce labor costs, and enhance workplace safety. The deployment of these robots necessitates robust datasets for training, validation, and benchmarking of navigation, perception, and decision-making algorithms. As the complexity of robotic systems grows, so does the need for comprehensive and diverse datasets that can simulate real-world challenges, ensuring that robots can operate reliably in dynamic and unpredictable environments. This trend is further accelerated by the proliferation of Industry 4.0 initiatives and the integration of artificial intelligence (AI) and machine learning (ML) in robotic platforms, making benchmark datasets indispensable for innovation and quality assurance.




    Another significant growth factor is the increasing collaboration between academia, research institutions, and industry players to develop standardized and open-source benchmark datasets for mobile robots. These collaborations are crucial for establishing common evaluation metrics, fostering transparency, and accelerating the pace of technological advancements. The availability of high-quality datasets enables researchers and developers to benchmark their algorithms against standardized scenarios, facilitating objective performance comparisons and driving continuous improvement. Moreover, government agencies and international bodies are supporting initiatives aimed at creating publicly accessible datasets to democratize research and development in robotics. This collaborative ecosystem not only enhances the quality and diversity of available datasets but also promotes interoperability and cross-industry adoption of mobile robotics solutions.




    The growing emphasis on safety, reliability, and regulatory compliance in autonomous systems is also propelling the demand for benchmark datasets in the mobile robotics sector. Regulatory authorities are increasingly mandating rigorous testing and validation of autonomous systems before their deployment in public and safety-critical environments. Benchmark datasets play a pivotal role in ensuring that mobile robots meet stringent safety and performance standards by providing standardized scenarios for testing navigation, obstacle avoidance, and decision-making algorithms. This regulatory push, coupled with the rising expectations of end-users for seamless and error-free robotic operations, is compelling manufacturers and solution providers to invest heavily in comprehensive benchmarking tools and datasets, thereby driving market growth.




    From a regional perspective, North America currently dominates the Mobile Robot Benchmark Datasets market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The presence of leading technology companies, advanced research institutions, and a robust startup ecosystem in the United States and Canada has positioned North America as a hub for innovation in mobile robotics and AI. Europe is witnessing significant growth, driven by strong government support for robotics research and the increasing adoption of automation in manufacturing and logistics. Meanwhile, Asia Pacific is emerging as the fastest-growing region, fueled by rapid industrialization, urbanization, and substantial investments in AI and robotics infrastructure in countries such as China, Japan, and South Korea. The regional dynamics are further influenced by the availability of skilled talent, supportive regulatory frameworks, and the pace of digital transformation across key industries.



    Dataset Type Analysis


    &

  12. R

    Time-series database for OT data Market Research Report 2033

    • researchintelo.com
    csv, pdf, pptx
    Updated Oct 1, 2025
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    Research Intelo (2025). Time-series database for OT data Market Research Report 2033 [Dataset]. https://researchintelo.com/report/time-series-database-for-ot-data-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    Research Intelo
    License

    https://researchintelo.com/privacy-and-policyhttps://researchintelo.com/privacy-and-policy

    Time period covered
    2024 - 2033
    Area covered
    Global
    Description

    Time-Series Database for OT Data Market Outlook



    According to our latest research, the Global Time-Series Database for OT Data Market size was valued at $1.7 billion in 2024 and is projected to reach $6.3 billion by 2033, expanding at an impressive CAGR of 15.7% during the forecast period of 2025–2033. One of the primary factors driving this robust growth is the accelerating digital transformation across operational technology (OT) environments, especially in sectors such as manufacturing, energy, and utilities. As organizations increasingly deploy IoT devices and smart sensors within their OT infrastructure, the volume and velocity of time-series data generated have surged, necessitating advanced database solutions tailored for real-time analytics, predictive maintenance, and process optimization. The demand for scalable, high-performance time-series databases is further amplified by the growing emphasis on Industry 4.0 initiatives and the need for seamless integration between IT and OT systems, enabling enterprises to unlock actionable insights from their operational data.



    Regional Outlook



    North America currently holds the largest share of the global time-series database for OT data market, accounting for nearly 38% of total revenue in 2024. This dominance is attributed to the region’s mature industrial sector, early adoption of digital transformation strategies, and a robust ecosystem of technology providers. The United States, in particular, has been at the forefront of deploying advanced OT data management systems, driven by stringent regulatory requirements for asset monitoring, a high concentration of manufacturing and energy enterprises, and significant investments in R&D. Additionally, the presence of leading time-series database vendors and cloud service providers has fostered a competitive landscape that accelerates innovation and market penetration. North America’s proactive policy environment, promoting smart manufacturing and energy efficiency, further cements its leadership position in this market.



    In contrast, the Asia Pacific region is emerging as the fastest-growing market, projected to register a remarkable CAGR of 19.2% from 2025 to 2033. This rapid expansion is underpinned by the region’s ongoing industrialization, significant investments in smart infrastructure, and the proliferation of IoT devices across manufacturing, transportation, and utilities. Countries such as China, Japan, South Korea, and India are witnessing accelerated adoption of time-series database solutions to support predictive maintenance, asset management, and process optimization initiatives. Government-led digitalization programs, coupled with a surge in foreign direct investment in industrial automation, are propelling market growth. The increasing focus on energy efficiency, grid modernization, and smart city projects further boosts the demand for real-time OT data management platforms in the Asia Pacific.



    Meanwhile, emerging economies in Latin America, the Middle East, and Africa are gradually embracing time-series databases for OT data, albeit at a slower pace due to infrastructural limitations and budgetary constraints. Adoption in these regions is often driven by localized demand in sectors such as oil & gas, mining, and utilities, where real-time monitoring and asset optimization are critical. However, challenges such as limited access to advanced technologies, skill shortages, and inconsistent regulatory frameworks can impede widespread deployment. Despite these hurdles, increasing awareness of the benefits of digital transformation and ongoing policy reforms to attract foreign investment are expected to gradually improve adoption rates, positioning these regions as potential growth frontiers over the long term.



    Report Scope





    Attributes Details
    Report Title Time-series database for OT data Market Research Report 2033
    By Component Software, Services
    By Deployment Mode </

  13. Global smartphone unit shipments of Samsung 2010-2025, by quarter

    • statista.com
    • abripper.com
    Updated Nov 1, 2025
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    Statista (2025). Global smartphone unit shipments of Samsung 2010-2025, by quarter [Dataset]. https://www.statista.com/statistics/299144/samsung-smartphone-shipments-worldwide/
    Explore at:
    Dataset updated
    Nov 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In the third quarter of 2025, Samsung shipped approximately **** million smartphones, marking an increase compared to both the previous quarter and the same period in the prior year. The company’s strong sales performance consistently positions Samsung as the world’s leading smartphone vendor, ahead of Apple. Samsung smartphone sales – how many phones does Samsung sell? Global smartphone sales reached over *** billion units during 2024. While the global smartphone market is led by Samsung and Apple, Xiaomi has gained ground following the decline of Huawei. Together, these three companies hold more than ** percent of the global smartphone market share.

  14. Global smartphone unit shipments of OPPO 2015-2024, by quarter

    • statista.com
    Updated Jul 7, 2025
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    Federica Laricchia (2025). Global smartphone unit shipments of OPPO 2015-2024, by quarter [Dataset]. https://www.statista.com/topics/4600/smartphone-market-in-india/
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    Dataset updated
    Jul 7, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Federica Laricchia
    Description

    OPPO has significantly increased the production and sales of their smartphone lineup over the past five years, shipping almost 29 million units in the third quarter of 2024. The company – launched in 2004 – shipped 7.3 million units in the first quarter of 2015. Despite considerable growth over the past few years, the total smartphone units shipped by OPPO in the first quarter of 2024 was not the highest. OPPO’s growth: Leading five vendors OPPO’s growth has seen their output consistently place the company among the top five smartphone vendors in the world, shipping around 29 million units in the third quarter of 2024. While many of those shipments were domestic shipments in the company’s home country of China, OPPO has gained a footing in international markets, accounting for four percent of the smartphone market in Europe. OPPOrtunities in emerging markets Many of OPPO’s smartphones are available at a lower price-point than the flagship phones of vendors such as Apple, giving the company opportunities in emerging markets. For instance, the company regularly appears among the top vendors in the African smartphone market. A key reason for OPPO’s success in Africa is that 97 percent of all phones sold in the region sell for less than 400 U.S. dollars.

  15. Apple iPhone sales worldwide 2007-2024

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). Apple iPhone sales worldwide 2007-2024 [Dataset]. https://www.statista.com/statistics/276306/global-apple-iphone-sales-since-fiscal-year-2007/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The number of Apple iPhone unit sales dramatically increased between 2007 and 2024. Indeed, in 2007, when the iPhone was first introduced, Apple shipped around **** million smartphones. By 2024, this number reached over ***** million units. The newest models and iPhone’s lasting popularity Apple has ventured into its 17th smartphone generation with its Phone ** lineup, which, released in September 2025, includes the **, ** Plus, ** Pro and Pro Max. Powered by the A19 bionic chip and running on iOS **, these models present improved displays, cameras, and functionalities. On the one hand, such features come, however, with hefty price tags, namely, an average of ***** U.S. dollars. On the other hand, they contribute to making Apple among the leading smartphone vendors worldwide, along with Samsung and Xiaomi. In the first quarter of 2024, Samsung shipped over ** million smartphones, while Apple recorded shipments of roughly ** million units. Success of Apple’s other products Apart from the iPhone, which is Apple’s most profitable product, Apple is also the inventor of other heavy-weight players in the consumer electronics market. The Mac computer and the iPad, like the iPhone, are both pioneers in their respective markets and have helped popularize the use of PCs and tablets. The iPad is especially successful, having remained as the largest vendor in the tablet market ever since its debut. The hottest new Apple gadget is undoubtedly the Apple Watch, which is a line of smartwatches that has fitness tracking capabilities and can be integrated via iOS with other Apple products and services. The Apple Watch has also been staying ahead of other smart watch vendors since its initial release and secures around ** percent of the market share as of the latest quarter.

  16. Number of global social network users 2017-2028

    • statista.com
    • de.statista.com
    + more versions
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    Stacy Jo Dixon, Number of global social network users 2017-2028 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    How many people use social media?

                  Social media usage is one of the most popular online activities. In 2024, over five billion people were using social media worldwide, a number projected to increase to over six billion in 2028.
    
                  Who uses social media?
                  Social networking is one of the most popular digital activities worldwide and it is no surprise that social networking penetration across all regions is constantly increasing. As of January 2023, the global social media usage rate stood at 59 percent. This figure is anticipated to grow as lesser developed digital markets catch up with other regions
                  when it comes to infrastructure development and the availability of cheap mobile devices. In fact, most of social media’s global growth is driven by the increasing usage of mobile devices. Mobile-first market Eastern Asia topped the global ranking of mobile social networking penetration, followed by established digital powerhouses such as the Americas and Northern Europe.
    
                  How much time do people spend on social media?
                  Social media is an integral part of daily internet usage. On average, internet users spend 151 minutes per day on social media and messaging apps, an increase of 40 minutes since 2015. On average, internet users in Latin America had the highest average time spent per day on social media.
    
                  What are the most popular social media platforms?
                  Market leader Facebook was the first social network to surpass one billion registered accounts and currently boasts approximately 2.9 billion monthly active users, making it the most popular social network worldwide. In June 2023, the top social media apps in the Apple App Store included mobile messaging apps WhatsApp and Telegram Messenger, as well as the ever-popular app version of Facebook.
    
  17. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Abdul Malik (2025). Mobiles Dataset (2025) [Dataset]. https://www.kaggle.com/datasets/abdulmalik1518/mobiles-dataset-2025
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Mobiles Dataset (2025)

Mobile specs: Company, Model, RAM, Cameras, Battery, Prices (PK,IN, CN, US, UAE)

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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.
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