This dataset offers a historical perspective on the evolution of the mobile operating system market over time. By tracking the market share of each OS, it provides insights into consumer preferences, technological advancements, and the competitive landscape within the mobile industry.

For data scientists and analysts, this is valuable for conducting trend analysis, forecasting future market dynamics, and understanding the factors driving changes in OS popularity. It can be used to:

• Analyze trends in mobile OS adoption and decline over time.
• Forecast future shifts in the mobile OS market.
• Assess the impact of new OS releases, features, or other market entrants on existing OS market shares.
• Compare the growth rates of different operating systems.

Several analyses can be conducted, including:

• Identify which operating systems have gained or lost market share over time and the rate of these changes.
• Determine periods during which certain operating systems dominated the market and analyze the causes behind such dominance.
• Compare the year-over-year growth rates of different operating systems to identify which ones are gaining momentum.
• Use historical data to forecast future trends in the mobile OS market.

This dataset offers a comprehensive overview of the iPhone's journey in the global smartphone market from 2010 to 2024 . It includes:

📊 Number of iPhone Users: Total users worldwide and within the USA. 📈 Sales Figures: Yearly iPhone sales data. 🏆 Market Share: Comparison of iOS and Android market shares across years. This dataset is perfect for:

Market forecasting and trend analysis. Competitive landscape studies between iOS and Android. Consumer behavior research in the tech industry. Whether you're a data scientist, market analyst, or tech enthusiast, this dataset provides valuable insights to support your research and projects.

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

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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.

After fierce competition among vivo, Samsung, and Xiaomi over the past few years, vivo became the leading smartphone brand in India. Vivo led the market in the last three quarters. However, in the first two quarters of 2024, Xiaomi and Samsung ranked as high as or higher than Vivo. Aside from Samsung, the other four top smartphone brands are Chinese. Smartphone market share in India The number of smartphone users in India, the most populous country in the world, was on the rise. In 2023, the number of smartphone users in the country surpassed one billion for the first time. This figure was forecasted to jump to nearly 1.55 billion by 2040. And, around seven percent of the population in India purchase their phones online. This growth can also be observed in the volume of smartphone shipments in India. The number of smartphone shipments in India increased from four million units in the second quarter of 2012 to 47 million units in the third quarter of 2024. Major players South Korean giant Samsung, a leader in the global smartphone market, had been the top smartphone vendor in India since early 2013, when the company held about 30 percent of the market share, until the end of 2017. But its position has been challenged by the Chinese smartphone manufacturers like vivo, Xiaomi and OPPO. Vivo is a Chinese tech company based in Guangdong. It's one of the top five smartphone manufacturers in the world. And Xiaomi has quickly risen to the top of China's crowded technology market and is now one of the leading consumer electronics manufacturers globally, since its founding in 2010. Xiaomi specializes primarily in smartphones, but is also active in other markets, and it started manufacturing electric vehicles in 2023.

Dataset about - Global Smartphone Shipments and Market Share 2021 Q2- 2024 Q1

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The mobile phone dataset comprises a comprehensive collection of mobile devices, each with detailed information on prices and features. The dataset is organized in a structured format for easy analysis. Here is an overview of the key components:

Mobile Phone Models: The dataset includes a list of unique mobile phone models, each identified by a distinct identifier or name.

Price Information:

Average Price: The average price of the mobile phones in the dataset is [average price]. Price Range: The prices range from [minimum price] to [maximum price]. Features:

Display: Information on display size, resolution, and type (e.g., OLED, LCD). Processor: Details about the chipset and processing power. Camera: Specifications for front and rear cameras, including megapixels and additional features. Storage: Available internal storage capacities (in GB or TB). Battery: Battery capacity and type. Operating System: The mobile operating system (e.g., iOS, Android) and version. Connectivity: Details on network support (e.g., 4G, 5G) and other connectivity options (e.g., Bluetooth, Wi-Fi). Additional Features: Any special functionalities or hardware features unique to each mobile. Brand Information:

The dataset may contain information about the brand or manufacturer of each mobile phone. Release Date: Date of release or launch for each mobile phone model.

Availability: Availability status (e.g., current, discontinued) of each mobile phone model.

User Ratings/Reviews (if available): Any user-generated ratings or reviews associated with the mobile phones.

Market Segment/Category (optional): Classification of mobile phones into categories like budget, mid-range, or flagship.

Market Trends (if tracked): Trends or insights related to mobile phone sales, popularity, or market share over time.

Percentage of smartphone users by selected smartphone use habits in a typical day.

Malawi Internet Usage: Device Vendor Market Share: Mobile: Amazon data was reported at 0.000 % in 01 May 2024. This stayed constant from the previous number of 0.000 % for 30 Apr 2024. Malawi Internet Usage: Device Vendor Market Share: Mobile: Amazon data is updated daily, averaging 0.080 % from Apr 2024 (Median) to 01 May 2024, with 9 observations. The data reached an all-time high of 0.080 % in 27 Apr 2024 and a record low of 0.000 % in 01 May 2024. Malawi Internet Usage: Device Vendor Market Share: Mobile: Amazon data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Malawi – Table MW.SC.IU: Internet Usage: Device Vendor Market Share.

Germany Internet Usage: Device Vendor Market Share: Mobile: Sharp data was reported at 0.000 % in 20 Sep 2024. This stayed constant from the previous number of 0.000 % for 19 Sep 2024. Germany Internet Usage: Device Vendor Market Share: Mobile: Sharp data is updated daily, averaging 0.010 % from Sep 2024 (Median) to 20 Sep 2024, with 9 observations. The data reached an all-time high of 0.030 % in 16 Sep 2024 and a record low of 0.000 % in 20 Sep 2024. Germany Internet Usage: Device Vendor Market Share: Mobile: Sharp data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Germany – Table DE.SC.IU: Internet Usage: Device Vendor Market Share.

Context

It is no secret that mobile devices are increasingly taking over the market at the expense of stationary equipment and many forgotten tablets. Trends change over time and the data collected helps us understand them. So let's look at the share of these three sections in the most populous country in the world, which is India.

Content

The database saved in .csv form contains 4 columns. The first column contains the date (YYYY-MM) from the measurement period. Each subsequent column contains the percentage of market share in mobile, desktop and tablet markets, given as a percentage, rounded to 2 decimal places (if the share is less than 0.5%, the value 0 remains, even though it may constitute a very small percentage of the share). We have a total of 180 rows, i.e. full 15 years of data for each month.

Source

The database comes from the statcounter website and is available under the CC BY-SA 3.0 license, which allows you to copy, use and distribute the data also for commercial purposes after citing the source.

Photo by Andrew Neel on Unsplash

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

About Dataset

This dataset contains detailed information about phones listed on Amazon, including product specifications, user reviews, ratings, and pricing. The dataset can be useful for analyzing product trends, consumer preferences, pricing strategies, and technical features of smartphones sold on the platform. It includes both new and Amazon-renewed phones.

Description

The dataset includes the following key features:

• Color: The available color of the phone.
• Image Links: URLs to the images of the products.
• Descriptions: Detailed descriptions of the phone, including specifications.
• Kind Product: The type or category of the product (smartphones, accessories, etc.).
• Ratings: User ratings (out of 5 stars).
• Number of Ratings: Total count of ratings the product has received.
• Status: Availability status (e.g., In Stock, Out of Stock).
• Number of Buyers Last Month More Than: Approximate number of buyers in the previous month.
• Typical Price: The regular price with usd of the phone without any discounts.
• Price: The current price with usd of the phone.
• You Save: The amount saved if the phone is on discount.
• Discount: The percentage discount offered on the product.
• Brand: The brand name of the phone (e.g., Apple, Samsung).
• OS: The operating system of the phone (e.g., Android, iOS).
• CPU Model: The model of the processor used in the phone.
• Resolution: The screen resolution of the phone.
• Name: The product name as listed on Amazon.
• Wireless Carrier: The supported wireless carrier (e.g., Verizon, AT&T).
• Cellular Technology: The cellular network technology (e.g., 4G, 5G).
• Dimensions: Physical dimensions of the phone.
• ASIN: Amazon Standard Identification Number, a unique product identifier.
• Model: The model number of the phone.
• Amazon Renewed: Indicates whether the product is part of the Amazon Renewed program (refurbished).
• Renewed Smartphones: Additional flag indicating if the phone is renewed.
• Battery Capacity: The capacity of the phone’s battery (in mAh).
• Battery Power: The power rating of the battery.
• Charging Time: Time taken to charge the phone fully.
• RAM: The amount of RAM in the phone.
• Storage: Internal storage capacity of the phone.
• Screen Size: Size of the display (in inches).
• Connectivity Technologies: Wireless technologies supported by the phone (e.g., Bluetooth, Wi-Fi).
• Wireless Network: Type of wireless networks supported (e.g., Wi-Fi 6).
• CPU Speed: The speed of the phone’s CPU (in GHz).
• Reviews USA: User reviews originating from the USA.
• Reviews Other: User reviews from countries other than the USA.

Detail

This dataset includes a comprehensive range of variables, offering insight into both the technical aspects and customer perceptions of various smartphones sold on Amazon. The dataset allows for:

• Product Comparisons: Comparison of specifications like RAM, CPU, storage, battery life, screen size, etc.
• Pricing Analysis: Understanding pricing trends, discounts, and price fluctuations across different brands and models.
• Consumer Insights: Analysis of consumer behavior through ratings, reviews, and the number of buyers over time.
• Product Availability: Insights into stock availability and how often certain products are sold or renewed.

Usage

The dataset can be used for several purposes, including but not limited to:

1. Market Research: Analyze product popularity and trends in smartphone sales on Amazon.
2. Sentiment Analysis: Perform sentiment analysis on reviews (USA and other countries) to understand customer satisfaction.
3. Price Forecasting: Build models to forecast price changes or identify the best time to buy based on historical data.
4. Product Recommendations: Develop recommendation systems based on user reviews, ratings, and product features.
5. Competitive Analysis: Compare different brands and models to identify strengths and weaknesses of various smartphones.
6. Feature Engineering for ML Models: Use product specifications like RAM, CPU speed, and battery power to create features for predictive machine learning models.

Summary

This Amazon product phones dataset provides an in-depth look at smartphones sold on Amazon, covering everything from technical specifications to user reviews and pricing. It is ideal for anyone looking to analyze trends in the smartphone market, consumer preferences, or technical specifications. The data can be leveraged for a wide array of projects such as market analysis, machine learning, and competitive intelligence.

Liberia Internet Usage: Device Vendor Market Share: Mobile: Unimax data was reported at 0.000 % in 01 Aug 2025. This stayed constant from the previous number of 0.000 % for 31 Jul 2025. Liberia Internet Usage: Device Vendor Market Share: Mobile: Unimax data is updated daily, averaging 0.000 % from Mar 2024 (Median) to 01 Aug 2025, with 16 observations. The data reached an all-time high of 0.060 % in 28 Jul 2025 and a record low of 0.000 % in 01 Aug 2025. Liberia Internet Usage: Device Vendor Market Share: Mobile: Unimax data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Liberia – Table LR.SC.IU: Internet Usage: Device Vendor Market Share.

ExactOne delivers unparalleled consumer transaction insights to help investors and corporate clients uncover market opportunities, analyze trends, and drive better decisions.

Dataset Highlights - Source: Debit and credit card transactions from 600K+ active users and 2M accounts connected via Open Banking. Scale: Covers 250M+ annual transactions, mapped to 1,800+ merchants and 330+ tickers. Historical Depth: Over 6 years of transaction data. Flexibility: Analyse transactions by merchant/ticker, category/industry, or timeframe (daily, weekly, monthly, or quarterly).

ExactOne data offers visibility into key consumer industries, including: Airlines - Regional / Budget Airlines - Cargo Airlines - Full Service Autos - OEMs Communication Services - Cable & Satellite Communication Services - Integrated Telecommunications Communication Services - Wireless Telecom Consumer - Services Consumer - Health & Fitness Consumer Staples - Household Supplies Energy - Utilities Energy - Integrated Oil & Gas Financial Services - Insurance Grocers - Traditional Hotels - C-corp Industrial - Misc Industrial - Tools And Hardware Internet - E-commerce Internet - B2B Services Internet - Ride Hailing & Delivery Leisure - Online Gambling Media - Digital Subscription Real Estate - Brokerage Restaurants - Quick Service Restaurants - Fast Casual Restaurants - Pubs Restaurants - Specialty Retail - Softlines Retail - Mass Merchants Retail - European Luxury Retail - Specialty Retail - Sports & Athletics Retail - Footwear Retail - Dept Stores Retail - Luxury Retail - Convenience Stores Retail - Hardlines Technology - Enterprise Software Technology - Electronics & Appliances Technology - Computer Hardware Utilities - Water Utilities

Use Cases

For Private Equity & Venture Capital Firms: - Deal Sourcing: Identify high-growth opportunities. - Due Diligence: Leverage transaction data to evaluate investment potential. - Portfolio Monitoring: Track performance post-investment with real-time data.

For Consumer Insights & Strategy Teams: - Market Dynamics: Compare sales trends, average transaction size, and customer loyalty. - Competitive Analysis: Benchmark market share and identify emerging competitors. - E-commerce vs. Brick & Mortar Trends: Assess channel performance and strategic opportunities. - Demographic & Geographic Insights: Uncover growth drivers by demo and geo segments.

For Investor Relations Teams: - Shareholder Insights: Monitor brand performance relative to competitors. - Real-Time Intelligence: Analyse sales and market dynamics for public and private companies. - M&A Opportunities: Evaluate market share and growth potential for strategic investments.

Key Benefits of ExactOne - Understand Market Share: Benchmark against competitors and uncover emerging players. - Analyse Customer Loyalty: Evaluate repeat purchase behavior and retention rates. - Track Growth Trends: Identify key drivers of sales by geography, demographic, and channel. - Granular Insights: Drill into transaction-level data or aggregated summaries for in-depth analysis.

With ExactOne, investors and corporate leaders gain actionable, real-time insights into consumer behaviour and market dynamics, enabling smarter decisions and sustained growth.

The size of the Second Hand Mobile Phone Recycling Service market was valued at USD XXX million in 2024 and is projected to reach USD XXX million by 2033, with an expected CAGR of XX % during the forecast period.

Audio Dataset Market Outlook

According to our latest research, the global audio dataset market size reached USD 6.7 billion in 2024, driven by surging demand for machine learning and AI-powered audio applications. The market is experiencing robust expansion with a CAGR of 21.4% from 2025 to 2033, with forecasts indicating the market will attain USD 48.1 billion by 2033. Key growth factors include the proliferation of voice-activated technologies, increased adoption of smart devices, and the widespread integration of audio analytics in diverse sectors such as healthcare, automotive, and media & entertainment.

The primary growth driver for the audio dataset market is the exponential rise in the adoption of automatic speech recognition (ASR) and natural language processing (NLP) technologies. With businesses and consumers increasingly relying on voice assistants, chatbots, and virtual agents, the demand for high-quality, diverse, and annotated audio datasets has soared. These datasets are fundamental to training and refining AI models for voice recognition, transcription, and sentiment analysis. The integration of audio datasets into customer service, accessibility solutions for the differently-abled, and language learning platforms further amplifies market growth. Additionally, advancements in deep learning algorithms are enabling the extraction of more nuanced information from audio data, making datasets more valuable and broadening their use cases.

Another significant factor fueling the audio dataset market is the surge in smart device penetration and IoT adoption across industries. The proliferation of smart speakers, connected vehicles, wearable devices, and intelligent home appliances has created a massive influx of audio data. Organizations are leveraging this data to enhance user experience, personalize services, and enable real-time decision-making. In sectors like automotive, audio datasets are instrumental in developing advanced driver assistance systems (ADAS) and in-car voice assistants. In healthcare, audio datasets support the development of diagnostic tools and remote patient monitoring solutions. The convergence of audio datasets with big data analytics and cloud computing is unlocking new business models and revenue streams, further propelling market expansion.

The media & entertainment industry is also playing a pivotal role in the growth of the audio dataset market. The demand for music information retrieval, sound event detection, and content recommendation systems is at an all-time high. Streaming platforms, broadcasters, and content creators are increasingly utilizing audio datasets to optimize content delivery, improve audience engagement, and automate content moderation. The emergence of immersive audio experiences, such as spatial audio and 3D sound, is creating new opportunities for dataset providers. Furthermore, regulatory mandates for accessibility, such as closed captioning and audio descriptions, are compelling organizations to invest in robust audio datasets, driving further market growth.

Regionally, North America holds the largest share of the audio dataset market, attributed to early technology adoption, high R&D investments, and the presence of major AI and tech companies. However, the Asia Pacific region is witnessing the fastest growth, fueled by rapid digital transformation, increasing smartphone penetration, and government initiatives to promote AI research. Europe is also a significant market, driven by stringent data privacy regulations and a strong focus on innovation in automotive and healthcare sectors. Latin America and the Middle East & Africa are emerging markets, with growing investments in digital infrastructure and AI-driven applications. The global landscape is characterized by intense competition, continuous innovation, and a focus on developing multilingual and culturally diverse audio datasets.

Dataset Type Analysis

The audio dataset market is segmented by dataset type into speech, music, environmental sounds,

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

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.

Monaco Internet Usage: Device Vendor Market Share: Mobile: Mobiistar data was reported at 0.000 % in 11 Apr 2024. This stayed constant from the previous number of 0.000 % for 10 Apr 2024. Monaco Internet Usage: Device Vendor Market Share: Mobile: Mobiistar data is updated daily, averaging 0.000 % from Apr 2024 (Median) to 11 Apr 2024, with 9 observations. The data reached an all-time high of 0.240 % in 07 Apr 2024 and a record low of 0.000 % in 11 Apr 2024. Monaco Internet Usage: Device Vendor Market Share: Mobile: Mobiistar data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Monaco – Table MC.SC.IU: Internet Usage: Device Vendor Market Share.

Travel patterns and mode market share analysis focus on understanding the various mode of transport (road/rail/air/active) used to travel between areas connected by a major corridor (e.g. West Coast Mainline).

The data focusses on understanding both station to station and end to end journeys for rail. The data set also includes travel times/distances between Origin Destinations for each mode, helping to explain the mode market share.

Additional data available:

HGV Split out as a sub-mode to road

Roamers included in the data processing

Purpose (Reason for Travel) included