Apple Iphones sold in India

Price, Rating, and Reviews

By Tony Paul [source]

About this dataset

This dataset contains detailed information about Apple iPhones that have been sold in India. Each entry includes the product name, brand, sale price, maximum retail price (MRP), universal product code (UPC), number of reviews and ratings obtained from customers, discount percentage offered on various products, as well as the random access memory (RAM) size associated with each product. Dive into this comprehensive collection of Apple products for a better understanding of selling iPhone models in India and accurately capture insights about customer preferences and market trends!

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How to use the dataset

Here is how to use this dataset effectively: - Start by exploring the headers of each column to understand the data features available in the dataset; you should be able to identify which columns contain what kind of data. - To get an overview of your data, calculate summary statistics such as means and standard deviations for numerical columns (e.g., Sale Price, Mrp etc.). - Visualize your data using a variety of techniques like histograms, scatter plots and correlation matrices - this will help you look for possible relationships between different variables. You may also consider creating pair plots that allow you to compare and visualize pairs of variables against each other at a glance. - Finally, start building models or perform exploratory analysis such as hypothesis testing with the help of various statistical methods or machine learning algorithms for further insights into the Apple iPhone sales in India!

Research Ideas

• Developing an AI-based Product Recommender System using the attributes of Apple Iphones (e.g. price, discount percentage, ratings, reviews & RAM) for customers who are looking to purchase new Apple phone in India
• Creating a brand intelligence system that analyses the popularity of different Apple product models and rank them according to their performance over time
• Using Machine Learning to build a predictive model for forecasting sales patterns and predicting demand for future sales of Apple Iphones in India

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

Unknown License - Please check the dataset description for more information.

Columns

File: apple_products.csv | Column name | Description | |:------------------------|:--------------------------------------------------------------------------| | Product Name | The name of the Apple iPhone product. (String) | | Product URL | The URL of the product page. (String) | | Brand | The brand of the Apple iPhone product. (String) | | Sale Price | The price of the Apple iPhone product at the time of sale. (Numeric) | | Mrp | The maximum retail price of the Apple iPhone product. (Numeric) | | Discount Percentage | The percentage of discount offered on the Apple iPhone product. (Numeric) | | Number Of Ratings | The number of ratings given to the Apple iPhone product. (Numeric) | | Number Of Reviews | The number of reviews given to the Apple iPhone product. (Numeric) | | Upc | The universal product code of the Apple iPhone product. (String) | | Star Rating | The star rating of the Apple iPhone product. (Numeric) | | Ram | The Random Access Memory size of the Apple iPhone product. (Numeric) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Tony Paul.

Mobile phones have become an integral part of daily life, even for sensitive transactions. A 2024 study reveals that most respondents in major European countries use their mobile devices for such purposes. Spain leads the pack with around ** percent of users conducting sensitive transactions on their phones, while Germany and France show similar adoption rates of around ** percent. Security measures and device preferences Despite the widespread use of mobile phones for sensitive transactions, the adoption of mobile security solutions varies across countries. In Germany, over ** percent of respondents use security solutions on their mobile devices, while the UK lags behind with just under ** percent adoption. Interestingly, most respondents who used a security solution on their mobile phones used it on Android phones, with Spain showing the highest rate at ** percent. However, the UK stands out, with nearly ** percent of security solution users opting for iPhones. Attitudes toward mobile security The reasons behind not using additional security measures on mobile devices shed light on user perceptions. In Germany, over ** percent of respondents trust that iOS and Android are secure enough without added protection. Similarly, nearly ** percent of UK respondents feel secure without additional measures. This confidence in built-in security may explain why some users forgo extra precautions. However, the need for improved cybersecurity remains evident, with ** percent of adults in Malta and ** percent in Denmark recognizing its importance for the future use of digital technologies.

This dataset has been artificially generated to mimic real-world user interactions within a mobile application. It contains 100,000 rows of data, each row of which represents a single event or action performed by a synthetic user. The dataset was designed to capture many of the attributes commonly tracked by app analytics platforms, such as device details, network information, user demographics, session data, and event-level interactions.

Key Features Included

User & Session Metadata

User ID: A unique integer identifier for each synthetic user. Session ID: Randomly generated session identifiers (e.g., S-123456), capturing the concept of user sessions. IP Address: Fake IP addresses generated via Faker to simulate different network origins. Timestamp: Randomized timestamps (within the last 30 days) indicating when each interaction occurred. Session Duration: An approximate measure (in seconds) of how long a user remained active. Device & Technical Details

Device OS & OS Version: Simulated operating systems (Android/iOS) with plausible version numbers. Device Model: Common phone models (e.g., “Samsung Galaxy S22,” “iPhone 14 Pro,” etc.). Screen Resolution: Typical screen resolutions found in smartphones (e.g., “1080x1920”). Network Type: Indicates whether the user was on Wi-Fi, 5G, 4G, or 3G. Location & Locale

Location Country & City: Random global locations generated using Faker. App Language: Represents the user’s app language setting (e.g., “en,” “es,” “fr,” etc.). User Properties

Battery Level: The phone’s battery level as a percentage (0–100). Memory Usage (MB): Approximate memory consumption at the time of the event. Subscription Status: Boolean flag indicating if the user is subscribed to a premium service. User Age: Random integer ranging from teenagers to seniors (13–80). Phone Number: Fake phone numbers generated via Faker. Push Enabled: Boolean flag indicating if the user has push notifications turned on. Event-Level Interactions

Event Type: The action taken by the user (e.g., “click,” “view,” “scroll,” “like,” “share,” etc.). Event Target: The UI element or screen component interacted with (e.g., “home_page_banner,” “search_bar,” “notification_popup”). Event Value: A numeric field indicating additional context for the event (e.g., intensity, count, rating). App Version: Simulated version identifier for the mobile application (e.g., “4.2.8”). Data Quality & “Noise” To better approximate real-world data, 1% of all fields have been intentionally “corrupted” or altered:

Typos and Misspellings: Random single-character edits, e.g., “Andro1d” instead of “Android.” Missing Values: Some cells might be blank (None) to reflect dropped or unrecorded data. Random String Injections: Occasional random alphanumeric strings inserted where they don’t belong. These intentional discrepancies can help data scientists practice data cleaning, outlier detection, and data wrangling techniques.

Usage & Applications

Data Cleaning & Preprocessing: Ideal for practicing how to handle missing values, inconsistent data, and noise in a realistic scenario. Analytics & Visualization: Demonstrate user interaction funnels, session durations, usage by device/OS, etc. Machine Learning & Modeling: Suitable for building classification or clustering models (e.g., user segmentation, event classification). Simulation for Feature Engineering: Experiment with deriving new features (e.g., session frequency, average battery drain, etc.).

Important Notes & Disclaimer

Synthetic Data: All entries (users, device info, IPs, phone numbers, etc.) are artificially generated and do not correspond to real individuals. Privacy & Compliance: Since no real personal data is present, there are no direct privacy concerns. However, always handle synthetic data ethically.

North America registered the highest mobile data consumption per connection in 2023, with the average connection consuming ** gigabytes per month. This figure is set to triple by 2030, driven by the adoption of data intensive activities such as 4K streaming.

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...

This forecast shows the number of smartphone users in France from 2018 to 2024. For 2020, the number of smartphone users in France is estimated to reach 47.18 million, with the number of smartphone users worldwide forecast to exceed 2 billion users by that time. From 2018 to 2024 the number of smartphone users in France is expected to grow by close to four million users. This equates to a growth in the share of users by 26.26 percent. The data was calculated in July 2018 and covers all individuals of any age who own one or more smartphones and use at least one of those devices every month.

The leading operating system on the the French market is Android with a 75.6 percent market share followed by Apple's iOS with a 18.8 percent share. Most individuals without a smartphone still owned a regular mobile phone and only 7 percent of the population did not own either. The most common smartphone owned in January 2017 was the Apple iPhone 7 followed by the iPhone 7 Plus. The three most common activities carried out weekly with a smartphone were the use of search engines, checking email accounts, and visiting social networks.

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

In the third quarter of 2025, Apple held an **** percent share of the global smartphone market, marking an increase of *** percentage points compared to the previous quarter. Long-time competitor Samsung maintained the leading position, with a market share of ** percent. Apple and Samsung continue to dominate the smartphone market Apple has been among the top-five smartphone vendors in the world since 2009. With the decline of former market leaders Nokia and RIM, Apple and Samsung were able to grow their presence in the market. As a result of political pressure, tariffs and restrictions imposed by the U.S, Chinese manufacturer Huawei has recently dropped off of the top five list in the smartphone market, while Xiaomi, Oppo, and Transsion have gained ground. Coronavirus (COVID-19) pandemic impact on iPhone sales While the long-term impact of the coronavirus (COVID-19) pandemic on sale is difficult to determine, the immediate impact was quickly visible. While large quarterly fluctuations are normal for Apple’s revenue cycle, one must look back to 2017 to find two consecutive quarters in which Apple generated less than ** billion U.S. dollars in revenue from the iPhone. A less strong performance in the first quarter of 2024, lead by the iPhone 16, gave Apple the ****** spot in terms of quarterly global unit shipments after Samsung, although strong sales in the fourth quarter of every year is a common occurrence with Apple products.

This dataset simulates anonymized mobile screen time and app usage data collected from Android/iOS users over a 3-month period (Jan–April 2024). It captures daily usage trends across various app categories including:

Productivity: Google Docs, Notion, Slack

Entertainment: YouTube, Netflix, TikTok

Social Media: Instagram, WhatsApp, Facebook

Utilities: Chrome, Gmail, Maps

For YouTube, additional engagement statistics such as views, likes, and comments are included to analyze video popularity and content consumption behavior.

The dataset enables exploration of:

Productivity vs. entertainment screen time patterns

Daily usage fluctuations

App-specific user engagement

Correlation between time spent and user interactions

YouTube content virality metrics

This is a great resource for:

EDA projects

Behavioral clustering

Dashboard development

Time series and anomaly detection

Building recommendation or focus-assistive apps

Snapshot img

Smartphone Market Size 2025-2029

The smartphone market size is forecast to increase by USD 99.8 million, at a CAGR of 4.1% between 2024 and 2029.

The market is experiencing significant growth, driven by several key trends. One major factor is the increasing adoption of artificial intelligence (AI) in smartphones, enhancing user experience through features like voice recognition and facial recognition. Sensor fusion technology is another trend, enabling devices to collect and analyze data from various sensors for improved functionality and accuracy. However, ongoing trade wars are posing challenges to market growth, with tariffs and import taxes affecting smartphone sales, particularly in key markets. These trends and challenges are shaping the future of the smartphone industry.

What will be the Size of the Smartphone Market During the Forecast Period?

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The market continues to evolve, driven by advancements in telecom infrastructure and the proliferation of affordable handsets. Mobile phone users increasingly seek devices capable of leveraging 5G network technologies, with chipmakers responding by producing 5G chips for integration into mobile handsets. Android and Windows Phone operating systems dominate the market, while third-party originators challenge the status quo. Improved hardware and software capabilities enable advanced digital functions such as web browsing, music, video, gaming, and camera capability. The integration of artificial intelligence enhances user experience. Governmental assistance and the transition from feature phones to smartphones further fuel market growth. Overall, the market remains dynamic, with a focus on affordable, high-performance devices that cater to the diverse needs of consumers.

How is this Smartphone Industry segmented and which is the largest segment?

The smartphone industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Technology

  Android
  IOS
  Others


Price Range

  Between USD 150-USD 800
  Greater than USD 800
  Less than USD150


Screen Size

  Greater than 6 inches
  Between 5-6 inches
  Less than 5 inches


Geography

  APAC

    China
    India
    Japan
    South Korea


  Europe

    Germany
    UK
    France


  North America

    Canada
    US


  Middle East and Africa



  South America

    Brazil

By Technology Insights

The android segment is estimated to witness significant growth during the forecast period.

The Android operating system, provided by Alphabet Inc. (Google), is a globally popular choice for smartphones. With over 2.5 million apps available In the Google Play Store, users have access to a vast selection of applications catering to their diverse needs. Notable features of the Android OS include smart reply for messaging apps, focus mode options, Wi-Fi sharing via QR codes, and Google Assistant. Google offers essential web services such as Google Search, Google Maps, and YouTube free of charge. The Android OS's extensive feature set has contributed to its increasing popularity among consumers worldwide.

In addition, high-speed data connectivity and integration with Internet of Things (IoT) applications further enhance its appeal. Application developers create software for various lifestyle, social media, mobile utility, and other categories, ensuring a rich and diverse app ecosystem. The Android OS is written primarily in Java and C++, with support for in-app purchases and in-app course subscriptions.

Get a glance at the Smartphone Industry report of share of various segments Request Free Sample

The android segment was valued at USD 203.60 million in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 48% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions, Request Free Sample

The market in APAC has experienced substantial growth, with China, Japan, India, South Korea, and Indonesia being the primary contributors to revenue generation. The expansion of urban populations and the subsequent increase in disposable income have fueled the demand for smartphones In the region. Key drivers of this market growth include the advancement of telecom infrastructure and the emergence of affordable smartphone options. Major global smartphone manufacturers have established manufacturing facilities in China, Taiwan, South Korea, Japan, and India to cater to the increasing demand.

Additionally, digital information consumption, human-computer interaction advancements, and the integrat

Discover the booming market for full-angle mobile phone screen privacy films! This comprehensive analysis explores market size, growth trends, key players (Tech Armor, ZAGG, Belkin), regional insights, and future projections (2025-2033). Learn about the factors driving demand and the challenges faced by industry leaders.

Mobile Phone Antivirus Software Market Outlook

The global mobile phone antivirus software market size was valued at approximately USD 1.5 billion in 2023 and is projected to reach USD 3.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 10.5% during the forecast period. The market's impressive growth is propelled by the increasing use of smartphones and the corresponding rise in cyber threats targeting mobile devices. As mobile phones become central to both personal and professional activities, the need for robust security solutions to protect sensitive data has never been more critical.

One of the primary growth factors for the mobile phone antivirus software market is the rapid proliferation of smartphones across the globe. With more than 3.8 billion smartphone users worldwide, the mobile ecosystem has become a lucrative target for cybercriminals. As a result, there is a growing awareness among both individual and enterprise users about the importance of securing mobile devices against malware, phishing attacks, and other forms of cyber threats. This heightened awareness is driving the demand for advanced mobile antivirus software solutions, contributing significantly to market growth.

Another crucial factor is the increasing complexity and sophistication of mobile cyber-attacks. Cybercriminals are continually evolving their tactics, creating more advanced and elusive malware specifically designed to exploit vulnerabilities in mobile operating systems. This ever-changing threat landscape necessitates the development and deployment of more advanced antivirus solutions that can effectively detect and neutralize these sophisticated threats. Consequently, antivirus software providers are investing heavily in research and development to keep pace with the evolving nature of mobile cyber threats.

The surge in remote working practices, particularly in the wake of the COVID-19 pandemic, has also significantly influenced the growth of the mobile phone antivirus software market. As employees access corporate networks and sensitive data from their mobile devices, the risk of cyber-attacks increases. Enterprises are, therefore, prioritizing mobile security as part of their broader cybersecurity strategies. This trend is expected to continue, further driving the demand for mobile antivirus solutions among enterprise users.

From a regional perspective, North America holds a significant share of the mobile phone antivirus software market, driven by high smartphone penetration and the presence of several key market players. However, the Asia Pacific region is anticipated to exhibit the highest growth rate during the forecast period. This growth is attributable to the rapidly increasing number of smartphone users, rising disposable incomes, and growing awareness about mobile security in emerging economies such as China and India. Additionally, government initiatives aimed at enhancing cybersecurity infrastructure in these regions are expected to further boost market growth.

Operating System Analysis

The mobile phone antivirus software market is segmented by operating systems, including Android, iOS, Windows, and Others. Among these, the Android segment dominates the market due to the widespread adoption of Android devices across the globe. Android's open-source nature, while beneficial in terms of customization and flexibility, also makes it more susceptible to malware attacks. Consequently, there is a significant demand for antivirus solutions tailored specifically for Android devices.

The iOS segment, although smaller in market share compared to Android, is also significant. Apple's closed ecosystem and stringent app review processes contribute to a lower incidence of malware on iOS devices. However, this does not eliminate the need for antivirus software, as iOS devices can still be vulnerable to phishing attacks and other forms of cyber threats. The growing user base of iPhones and iPads ensures a steady demand for antivirus solutions in this segment.

Windows, primarily known for its desktop operating systems, also plays a role in the mobile antivirus software market. Windows mobile devices, though less prevalent than Android and iOS, still require robust security solutions to protect against potential threats. The market for antivirus software in this segment is driven by users who prefer the Windows ecosystem for its integration with other Microsoft services and products.

The "Others" category encompasses lesser-known or emerging mobile operating

During a December 2022 survey among smartphone users in the United States, ** percent of Android phone users felt comfortable sharing their data with cell phone manufacturers. iPhone users and users of phones or devices with other operating systems (OS) felt similar, with ** and ** percent levels of trust, respectively.

More than ** percent of internet users in Japan used a smartphone in 2024. This constituted a significant increase from less than ** percent in 2020. Current trends in smartphone usage in Japan The smartphone penetration rate was forecast to reach about ** percent by 2029, which equaled a total of ***** million smartphone users. Despite a low birth rate and an aging and shrinking population, both the number of mobile internet users and the number of social media users were forecast to increase in the coming years, in part reflecting the growing prevalence of smartphones in Japan. While Japanese manufacturers had held a leading position in the mobile phone market prior to the widespread adoption of smartphones, the success of the iPhone has made Apple the most popular smartphone brand in Japan. The Japanese telecommunications industry Japan’s major mobile phone providers are NTT Docomo, KDDI Corporation, SoftBank Corp., and Rakuten Mobile. Among these four, NTT Docomo has been holding the highest market share. Next to the major mobile carriers, there are several low-cost mobile service providers in Japan, such as GTN Mobile or SoftBank subsidiary Y!mobile, which offer budget SIM cards and basic data plans that are popular among foreign tourists and customers looking for short-term options. Depending on the carrier, customers can profit from a higher flexibility regarding contract periods, multilingual support for non-Japanese nationals, or the enablement of bill payments without a local bank account or credit card.

Mobile games make up the majority of video games released each year, with thousands of new additions to the Apple App Store and Google Play Store every year. By the mid-2010s, mobile games had...

Introducing the most complete publicly available dataset of fruits, vegetables, and berries. I have attempted to classify every fruit and berry that I have discovered in my life. However, vegetables are not fully complete. Fruits and berries were captured with a Europe-Asian bias. Nonetheless, I am still thrilled to share this dataset with the public, as I have carefully curated it over the course of 12 months. As an enthusiast of image classification, I created this dataset as part of my personal project with the dream of building a mobile app that would allow users to log any meal with one-snap calculated calories.

This particular dataset is the second of many that I plan to publish, each featuring various meal items that I have meticulously curated for the most detailed calorie calculation possible.

To create this dataset, I utilized a custom-created mobile app on my iPhone 13-14 Pro Max to capture images. I took great care to ensure that each image was taken from different angles and under varying lighting conditions to provide the most detailed and comprehensive visual representation of each item. I faced challenges with existing apps that were unable to detect meals in my custom neon home lighting, which was one of the reasons why I started working on my own dataset. Additionally, I made a conscious effort to order and select food based on the needs of my dataset, ensuring that each item was thoroughly documented.

In addition to my own pictures, this dataset includes user-generated images sourced from friends, fellow food enthusiasts, and the internet. Each picture was manually classified multiple times by myself and carefully scraped from different sources to ensure accuracy and consistency in the dataset.

I poured my heart and soul into this dataset, making it the project of my life. I had planned to collect pictures for the next 10 years until I started experiencing an eating disorder. As a result, I have decided to make this dataset public in the hopes of sharing my past work for the greater good of the data science community.

Overall, I am proud to share this dataset with public, and I am excited to continue creating and sharing more datasets featuring various meal items in the future.

You can always contact me directly to obtain additional nutrition datasets that I have not yet classified or published. Pictures in my datasets mostly made with the goal of image classification, but also include numerous pictures of various dishes to make object detection possible. I have approximately 20 GB of manually prepared food photos.

As of May 2025, nearly ** percent of apps in the Google Play app store were freely available. The number of free apps on the Google Play Store and the Apple Store alike has been consistently higher than the number of paid apps. By comparison, free Android apps on Amazon Appstore were roughly ** percent, while paid apps accounted for a share of ** percent of the total apps available in the store. Mobile apps and consumer spending Mobile apps have become integral to our daily routine, offering convenience and entertainment. In the second quarter of 2024, the total value of the global consumer spending on mobile apps was almost ** billion U.S. dollars, highlighting the significant role that mobile apps play in the digital economy. As of the third quarter of 2023, consumers spent an average of **** U.S. dollars on mobile apps per smartphone, which underlines the high demand for these digital solutions. App stores commission rates under scrutiny As of August 2023, the standard commission rates on revenues generated from apps hosted on the Apple App Store and the Google Play Store were set at ** percent. However, between the end of 2020 and mid-2021, both Apple and Google were forced to address the criticism of their app store policies. In 2020, the European Union drafted the Digital Market Act, with the purpose of ensuring a healthy degree of competition in the tech environment. In December 2022, Apple was reported to start planning to allow sideloading and the presence of alternative app stores on its devices. In August 2021, the United States Senate presented the Open Apps Market Act to reduce tech giants‘ control over the digital app market. As regulations are expected to promote competition in the tech and mobile environment, in March 2023, Microsoft was reported to preparing to launch a new mobile gaming store, which will compete with the Apple App Store and the Google Play Store.In 2026, mobile app spending is forecasted to reach *** billion U.S. dollars and ** billion U.S. dollars on the Apple App Store and the Google Play Store, respectively. While both Google and Apple started applying some changes in their app store policies in 2021, like lowering commission fees for small publishers generating less than *** million U.S. dollars in yearly revenues, the two tech giants might face additional restrictions and limitations in all their major markets. In the case of Apple, in 2021, the company updated its App Store policies, allowing developers to offer alternative payment methods. In 2022, Apple updated its review guidelines, requiring developers to share more information about collecting and using data, including disclosing the types of collected data and how it's used.

During a December 2022 survey among smartphone users who feel comfortable sharing their data with advertisers in the United States, ** percent of Android phone users were willing to share data about their interests. ** percent of iPhone users, and ** percent of users of devices with other operating systems (OS) were also willing to share information about their interests with advertisers.

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.

The number of smartphone users in the Philippines was forecast to increase between 2024 and 2029 by in total 5.6 million users (+7.29 percent). This overall increase does not happen continuously, notably not in 2026, 2027, 2028 and 2029. The smartphone user base is estimated to amount to 82.33 million users in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 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).