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.

Forecast: T-Mobile Telecom Company Market Share in the US 2022 - 2026 Discover more data with ReportLinker!

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

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

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

Dataset

This dataset was created by Pritam Dahal

Contents

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

Common-Stock-Shares-Outstanding Time Series for Electronic Arts Inc. Electronic Arts Inc. develops, markets, publishes, and delivers games, content, and services for game consoles, PCs, and mobile phones worldwide. It develops and publishes games and services across various genres, such as sports, racing, first-person shooter, action, role-playing, and simulation; and live services offerings, including extra content and subscription offerings through its global football and American football franchises, such as EA SPORTS College Football and EA SPORTS Madden NFL, as well as based on its IP comprising The Sims, Apex Legends, and Battlefield. The company markets and sells its games and services through digital distribution and retail channels; and directly to mass market retailers, specialty stores, and distribution arrangements. Electronic Arts Inc. was incorporated in 1982 and is headquartered in Redwood City, California.

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

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Install App dataset provides comprehensive, first-party app install intelligence across the APAC region, sourced from AI-driven OS-level keyboard and utility applications. It captures highly granular insights into mobile app installations, updates, and user behavior, enabling precise market analytics, attribution tracking, and growth optimization.

Each record includes hashed device and advertising identifiers, application metadata (package name, app version, category), and timestamped install/update events. The field is_new_install indicates whether the app installation is first-time or an existing reinstall/update, helping distinguish between new user acquisition and returning user activity — a critical signal for campaign performance and user lifecycle analytics.

Alongside app-level insights, the dataset provides detailed device intelligence — including manufacturer, model, OS type/version, language, and user agent — combined with IP-based location data (country, region, city) and daily server timestamps for freshness tracking.

All data is hashed, privacy-compliant, and refreshed daily, making it ideal for organizations seeking high-quality, real-world app install signals across Android and iOS ecosystems.

📊 Key Features • First-party, consented data from OS-level applications • Hashed identifiers (device_id, advertising_id) for privacy-safe integration • Install and update timestamps for temporal and behavioral analysis • is_new_install flag to separate new installs from reinstalls or app updates • Comprehensive app, device, and location attributes • Daily refreshed dataset ensuring data accuracy and timeliness

⚙️ Primary Use Cases • Mobile Attribution & User Acquisition Tracking – Identify new users vs. re-engaged ones via the is_new_install flag • Market Intelligence & Competitive Benchmarking – Analyze install trends across app categories and geographies • Audience Segmentation – Classify users by device type, OS version, and app install behavior • Ad Targeting Optimization – Refine lookalike and re-engagement audiences with verified install data • Product & Growth Analytics – Study retention, uninstall rates, and user churn patterns • App Store Strategy – Evaluate app update frequency and version distribution

📍 Industries Benefiting • Ad-Tech & Mar-Tech Platforms • Mobile App Publishers & Developers • Telecom Operators & Device OEMs • Market Research & Analytics Firms • E-commerce, Fintech & Gaming Companies • Media, Entertainment & OTT Platforms

With millions of verified app installs tracked across Android and iOS, this AI-powered, consent-based dataset delivers actionable insights into app discovery, engagement, and retention, driving smarter decisions in mobile marketing, audience intelligence, and growth analytics.

Sweden's main stock market index, the Stockholm 30, fell to 2782 points on December 2, 2025, losing 0.11% from the previous session. Over the past month, the index has climbed 0.95% and is up 8.08% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Sweden. Sweden Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

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.

This publication summarizes the status of the retail mobile sector and provides insight to the level of competition by comparing various metrics of the top 3 mobile service providers, in terms of revenue and subscriber markets share, against the other mobile service providers in Canada.

Canada Internet Usage: Search Engine Market Share: Mobile: Haosou data was reported at 0.010 % in 28 Sep 2024. This stayed constant from the previous number of 0.010 % for 27 Sep 2024. Canada Internet Usage: Search Engine Market Share: Mobile: Haosou data is updated daily, averaging 0.010 % from Sep 2024 (Median) to 28 Sep 2024, with 11 observations. The data reached an all-time high of 0.010 % in 28 Sep 2024 and a record low of 0.010 % in 28 Sep 2024. Canada Internet Usage: Search Engine Market Share: Mobile: Haosou data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Canada – Table CA.SC.IU: Internet Usage: Search Engine Market Share.

This dataset provides detailed insights into mobile phone operating systems, covering their versions, release years, market shares, and technical capabilities. It includes 15,000 rows of data across 15 attributes, making it valuable for data analysis, machine learning, and trend forecasting. Researchers and developers can use this dataset to analyze OS adoption rates, security improvements, and technological advancements over time.

Common-Stock-Shares-Outstanding Time Series for Take-Two Interactive Software Inc. Take-Two Interactive Software, Inc. develops, publishes, and markets interactive entertainment solutions for consumers worldwide. The company develops and publishes action/adventure products under the Grand Theft Auto, LA Noire, Max Payne, Midnight Club, and Red Dead Redemption names, as well as other franchises. It also publishes various entertainment properties across various platforms and a range of genres, such as shooter, action, role-playing, strategy, sports, and family/casual entertainment under the BioShock, Mafia, Sid Meier's Civilization, XCOM series, Borderlands, and Tiny Tina's Wonderland names. In addition, the company publishes sports simulation titles comprising NBA 2K series, a basketball video game; the WWE 2K professional wrestling series; mobile titles, including WWE SuperCard; and PGA TOUR 2K. Further, it offers Kerbal Space Program; free-to-play mobile games, such as CSR Racing, Dragon City, Empires & Puzzles, FarmVille, Game of Thrones: Legends, Golf Rival, Harry Potter: Puzzles & Spells, Match Factory!, Merge Dragons!, Merge Magic!, Monster Legends, Toon Blast, Top Eleven, Top Troops, Toy Blast, Two Dots, Words With Friends, and Zynga Poker; and hyper-casual mobile titles, including Color Block Jam, Fill the Fridge!, Parking Jam 3D, Power Slap, Pull the Pin, Screw Jam, Twisted Tangle, and Tangled Snakes. The company's products are designed for console gaming systems; and mobiles comprising smartphones, tablets, and personal computers. It provides its products through physical retail, digital download, online platforms, and cloud streaming services. Take-Two Interactive Software, Inc. was incorporated in 1993 and is based in New York, New York.

Common-Stock-Shares-Outstanding Time Series for Godaddy Inc. GoDaddy Inc. engages in the design and development of cloud-based products in the United States and internationally. It operates in two segments: Applications and Commerce (A&C), and Core Platform (Core). The A&C segment offers applications products, including Websites + Marketing, a mobile-optimized online tool that enables customers to build websites and e-commerce enabled online stores; and Managed WordPress, a streamlined and optimized website building that allows customers to build and manage a WordPress site; Managed WooCommerce Stores to sell anything and anywhere online; and marketing tools and services, such as GoDaddy Studio mobile application, search engine optimization, Meta and Google My Business, and email and social media marketing designed to help businesses acquire and engage customers and create content. The segment also offers connected commerce comprising Smart Terminal, a dual screen all-in-one point-of-sale system that allows customers to manage in-store inventory and product catalogs and accept payments; GoDaddy Payments, a payment facilitator that enables customers to accept various forms of payments; and email service plans with a multi-feature web interface, and Microsoft 365 accounts that connects to customers' domains. The Core segment offers domain products, including primary registrations, domain aftermarket platform, and domain name add-ons, as well as GoDaddy Registry, a provider of domain name registry services; and hosting and security services comprising shared website hosting and virtual private servers, as well as security products with a suite of tools designed to help secure customers' online presence. The company serves small businesses, individuals, organizations, developers, designers, and domain investors. GoDaddy Inc. was founded in 1997 and is headquartered in Tempe, Arizona.

Common-Stock-Shares-Outstanding Time Series for Shenzhen Tianyuan Dic Info Tech. Shenzhen Tianyuan DIC Information Technology Co., Ltd. provides products and solutions to the telecommunications, government, financial, and other industries. The company offers platform products, such as Diyicai-digital supply chain solutions; multi-cloud management (D-Cloud); distributed in-memory database products; location application; visual reporting tool; distributed data acquisition system (fisherman) products; cloud computing; unified rules management; capability open platform system software; AI platform; big data capability open; text mining; data asset management; real-time computing development; spatiotemporal big data; self-service modeling; self-service data application tools; mobile OA platform; internet purchasing; and mobile application. it also provides asynchronous cache; DCA-distributed cache; cloud-based billing products; security services; analysis of abnormal user behavior; application security gateway; data security gateway; integrated resource management; cloud-network fusion design and orchestration; wireless network optimization support platform; wireless network big data analysis platform; sales assistant; electronic channel operation; precision marketing; housekeepers; internet distribution system; marketing consultant; sales management; channel operation support; small-scale contracting; data gateway; and online operation platform. In addition, the company offers intelligent customer service; big data solutions; e-commerce smart shopping guide; data aggregation; and marketing baby group solutions. Further, it provides knowledge graph platform; smart building solutions; event detection center; new generation of intelligent operation CRM3.0; digital capability open platform; 5G converged billing; big data abnormal behavior analysis; data lifecycle security protection; radio and TV big data; and distributed internet data collection solutions. The company was founded in 1993 and is headquartered in Shenzhen, China.

Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 163 companies listed on the Kuwait Stock Exchange (XKUW) in Kuwait. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

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Top 5 used data fields in the End-of-Day Pricing Dataset for Kuwait:

1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

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Top 5 financial instruments with End-of-Day Pricing Data in Kuwait:

Kuwait Stock Exchange (KSE) - Price Index: The main index that tracks the performance of all companies listed on the Kuwait Stock Exchange (KSE), providing insights into the Kuwaiti equity market.

Kuwaiti Dinar (KWD): The official currency of Kuwait. It is widely used for transactions and serves as the backbone of the country's financial system.

National Bank of Kuwait (NBK): The largest and one of the oldest banks in Kuwait, offering a wide range of banking and financial services.

Kuwait Finance House (KFH): A leading Islamic bank in Kuwait, providing Sharia-compliant banking services and products to individuals and businesses.

Zain Group (ZAIN): A telecommunications company based in Kuwait, with operations in multiple countries across the Middle East and North Africa, providing mobile and data services.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Kuwait, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

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Data fields included:

Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

Q&A:

1. How much does the End-of-Day Pricing Data cost in Kuwait ?

The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

1. How complete is the End-of-Day Pricing Data coverage in Kuwait?

Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Kuwait exchanges.

1. How does Techsalerator collect this data?

Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

1. How do I pay for this dataset?

Techsalerator accepts various payment methods, including credit cards, direct transfers, ACH, and wire transfers, facilitating a convenient and secure payment process.

1. How do I receive the data?

‍Techsalerator provides the End-of-Day Pricing Data through multiple delivery methods, such as FTP, SFTP, S3 bucket, or email, ensuring easy access and integration...