The price per unit in the 'Smartphones' segment of the consumer electronics market worldwide was modeled to be ****** U.S. dollars in 2024. Between 2018 and 2024, the price per unit rose by **** U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. The price per unit will steadily rise by ***** U.S. dollars over the period from 2024 to 2030, reflecting a clear upward trend.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Smartphones.

The average price of consumer and enterprise smartphones in the United States are forecast to increase from 2023 to 2028. In 2023, the average price of a smartphone in the consumer segment was expected to amount to around *** U.S. dollars, while a business smartphone was forecast to cost *** U.S. dollars. In comparison, such devices are expected to cost *** U.S. dollars and over ************ U.S. dollars in 2028.

In 2024, South Korea ranked first by price per unit in the 'Smartphones' segment of the consumer electronics market among the 25 countries presented in the ranking. South Korea's price per unit amounted to 420.88 U.S. dollars, while Australia and New Zealand, the second and third countries, had records amounting to 402.06 U.S. dollars and 397.39 U.S. dollars, respectively.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Smartphones.

North America will be the most expensive region to purchase a smartphone in 2019. Forecast figures show the average price of a smartphone in North America will be *** euros - more than *** euros greater than the next most expensive region (Europe). A smartphone will cost an average of *** euros in the Middle East and Africa - the least expensive region globally.

In 2023, the average price of a smartphone amounted to *** euros in Germany. In the previous year, the average price was around *** euros. While smartphones have become smarter every year, the average price has increased almost every year within this timeline. One of this century’s most standard tech accessories, for some even a necessity, has become so integrated into daily life that the assumption of a consumer not having one has practically receded for good. Fully charged The number of smartphone users in Germany has increased in recent years, amounting to almost **** million in 2023, based on preliminary figures. This compared to *** million users back in 2009. The sheer amount of smartphones sold to consumers has also experienced explosive growth, from **** million in 2008 to almost ** million in 2023. Correspondingly, smartphone sales revenue has also increased massively since the 2000s, reaching almost ** billion euros in 2023. Apple and Samsung Apple and Samsung are the dominating smartphone brands in Germany, though a sum of various other brands also enjoyed consumer attention. This means that in terms of mobile operating systems, it’s generally a battle between iOS and Android. Andriod has a larger market share in Germany than iOS, however, in recent years, there has been a general increase in iOS sales and Android has experienced a general decrease.

Smart phone price index (CPPI) by North American Product Classification System (NAPCS). The table includes annual data for the most recent reference period and the last four periods. Data are available from January 2015. The base period for the index is (2015=100).

The price per unit in the 'Smartphones' segment of the consumer electronics market in Italy was modeled to amount to ****** U.S. dollars in 2024. Between 2018 and 2024, the price per unit rose by ***** U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. The price per unit will steadily rise by ** U.S. dollars over the period from 2024 to 2030, reflecting a clear upward trend.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Smartphones.

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.

The average selling price of smartphones in India was around *** U.S. dollars in 2024. It surpassed the previous highest average selling price of *** U.S. dollars in 2023. The growth in the average selling price was driven by price increases and bigger 5G contribution.

This graph shows the average selling price of smartphones worldwide from 2010 to 2019. In 2014, smartphones were sold at an average price of ***** U.S. dollars worldwide. Smartphone average selling price – additional information The global average selling price of smartphones reached the highest figure to date in 2011, when these devices were sold for an average of ***** U.S. dollars. Since then, the average selling price of smartphones has constantly declined, going from ***** U.S. dollars in 2012 to ***** U.S. dollars in 2015. By 2019, this figure is forecast to drop to ***** U.S. dollars. The average price of smartphones varies around the world. North America has the highest average selling price for smartphones. North American customers paid *** U.S. dollars for a smartphone in 2013. By 2017, the average selling price for smartphones in this region is forecast to increase to *** U.S. dollars. Asia Pacific, on the other hand, has the most affordable average selling price – *** U.S. dollars in 2013, forecast to decrease to *** U.S. dollars by 2017. The average selling price for a smartphone also varies from vendor to vendor, and the device’s operating system. Apple, the second largest smartphone vendor in the world, has the highest average selling price for their devices. The iPhone’s average selling price is forecast to increase from *** U.S. dollars in 2015 to *** U.S. dollars in 2018. Android and Windows Phone are the most affordable operating systems for smartphones. Smartphones that use Android as operating system were sold for an estimate of *** U.S. dollars in 2015, while customers paid about *** U.S. dollars for a Windows Phone in the same year. Smartphones in the mid-range price – that is, with a retail price between *** U.S. dollars and *** U.S. dollars – accounted for ** percent of all smartphone shipments in 2014. This retail price category is forecast to increase its share of shipments to about ** percent by 2019.

A smartphone in Russia cost 24,100 Russian rubles on average in 2024, marking an increase from the previous year.

Dataset Overview This dataset provides a curated, example-based snapshot of selected Samsung smartphones released (or expected to be released) between 2020 and 2024. It includes various technical specifications such as camera details, processor type, RAM, internal storage, display size, GPU, battery capacity, operating system, and pricing. Note that these values are illustrative and may not reflect actual market data.

What’s Inside?

Phone Name & Release Year: Quickly reference the time frame and model. Camera Specs: Understand the rear camera configurations (e.g., “108+10+10+12 MP”) and compare imaging capabilities across models. Processor & GPU: Gain insights into the performance capabilities by checking the processor and graphics chip. Memory & Storage: Review RAM and internal storage options (e.g., “8 GB RAM” and “128 GB Internal Storage”). Display & Battery: Compare screen sizes (from 6.1 to over 7 inches) and battery capacities (e.g., 5000 mAh) to gauge device longevity and usability. Operating System: Note the Android version at release. Price (USD): Examine relative pricing trends over the years. How to Use This Dataset

Exploratory Data Analysis (EDA): Use Python libraries like Pandas and Matplotlib to explore pricing trends over time, changes in camera configurations, or the evolution of battery capacities.

Example: df.groupby('Release Year')['Price (USD)'].mean().plot(kind='bar') can show how average prices have fluctuated year to year. Feature Comparison & Filtering: Easily filter models based on specs. For instance, query phones with at least 8 GB RAM and a 5000 mAh battery to identify devices suitable for power users.

Example: df[(df['RAM (GB)'] >= 8) & (df['Battery Capacity (mAh)'] >= 5000)] Machine Learning & Predictive Analysis: Although this dataset is example-based and not suitable for precise forecasting, you could still practice predictive modeling. For example, create a simple regression model to predict price based on features like RAM and display size.

Example: Train a regression model (e.g., LinearRegression in scikit-learn) to see if increasing RAM or battery capacity correlates with higher prices. Comparing Release Trends: Investigate how flagship and mid-range specifications have evolved. See if there’s a noticeable shift towards larger displays, bigger batteries, or higher camera megapixels over the years.

Recommended Tools & Libraries

Python & Pandas: For data cleaning, manipulation, and initial analysis. Matplotlib & Seaborn: For creating visualizations to understand trends and distributions. scikit-learn: For modeling and basic predictive tasks, if you choose to use these example values as a training ground. Jupyter Notebooks or Kaggle Kernels: For interactive analysis and iterative exploration. Disclaimer This dataset is a synthetic, illustrative example and may not match real-world specifications, prices, or release timelines. It’s intended for learning, experimentation, and demonstration of various data analysis and machine learning techniques rather than as a factual source.

The price per unit in the 'Smartphones' segment of the consumer electronics market in Hong Kong was modeled to be ****** U.S. dollars in 2024. Between 2018 and 2024, the price per unit rose by ***** U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. The price per unit will steadily rise by ***** U.S. dollars over the period from 2024 to 2030, reflecting a clear upward trend.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Smartphones.

Do upvote if you found this dataset helpful 😊

Overview

This dataset contains detailed specifications and ratings for 5000+ mobile phones, scraped from MySmartPrice. It includes information about smartphone models, prices, ratings, hardware specifications, and additional features.

Data Summary

• Total Rows: 5,263
• Total Columns: 15
• Data Source: MySmartPrice (Scraped)
• Last Updated: [February 2025]

Features

• mobile_name – Brand name and model name.
• release_date – Official release date.
• price – Price of the mobile phone in INR (₹).
• avg_rating – Average user rating (out of 5).
• total_ratings – Total number of user ratings.
• cpu – Processor details (e.g., Snapdragon 8 Gen 3, Apple A17 Bionic).
• rear_camera – Rear camera specifications (e.g., 50MP + 12MP + 10MP).
• front_camera – Front camera details.
• display – Screen size, refresh rate, and display type.
• ram_and_storage – RAM and internal storage configurations.
• battery_and_charging_speed – Battery capacity (mAh) and charging speed (W).
• operating_system – Pre-installed OS version (e.g., Android v14, iOS 17).
• 5G|NFC|Fingerprint – Indicates the presence of 5G, NFC, and fingerprint sensors.
• expert_view – Expert opinions or summary reviews from MySmartPrice.

Usage

This dataset is useful for: - Analyzing smartphone market trends. - Building price prediction models. - Comparing smartphone features. - Sentiment analysis of ratings.

Notes

• Some fields may contain missing values due to data unavailability.
• Prices may fluctuate over time.
• Ratings data may be incomplete for newly released models.

Mobile Phones Dataset Description

This dataset provides comprehensive information about various mobile phones, including their specifications and features. The dataset includes the following columns:

Brand and Model Information

• brand_name: The brand name of the mobile phone manufacturer.
• model: The specific model name or designation of the mobile phone.

General Specifications

• price: The price of the mobile phone in the respective currency.
• avg_rating: The average rating or score given by users or reviewers for the mobile phone.
• 5G_or_not: Indicates whether the mobile phone supports 5G connectivity (0 for no, 1 for yes).

Processor Details

• processor_brand: The brand or manufacturer of the processor used in the mobile phone.
• num_cores: The number of cores in the processor.
• processor_speed: The speed or clock rate of the processor, typically measured in GHz.

Battery and Charging

• battery_capacity: The capacity of the mobile phone's battery, typically measured in mAh.
• fast_charging_available: Indicates whether the mobile phone supports fast charging (0 for no, 1 for yes).
• fast_charging: The fast charging capability or technology used by the mobile phone (e.g., Quick Charge, Dash Charge, etc.).

Memory and Storage

• ram_capacity: The amount of RAM (Random Access Memory) available in the mobile phone, typically measured in GB.
• internal_memory: The internal storage capacity of the mobile phone, typically measured in GB.
• screen_size: The size of the mobile phone's display screen, typically measured in inches.
• refresh_rate: The refresh rate of the display screen, typically measured in Hz.
• extended_memory_available: Indicates whether the mobile phone supports expandable memory via a memory card slot (0 for no, 1 for yes).

Camera

• num_rear_cameras: The number of rear-facing cameras on the mobile phone.
• primary_camera_rear: The resolution or megapixel count of the primary rear-facing camera.
• primary_camera_front: The resolution or megapixel count of the primary front-facing (selfie) camera.

Display

• resolution_height: The height dimension of the display screen resolution, typically measured in pixels.
• resolution_width: The width dimension of the display screen resolution, typically measured in pixels.

Operating System

• os: The operating system installed on the mobile phone (e.g., Android, iOS, etc.).

The dataset provides a comprehensive overview of various mobile phone models, allowing for analysis and comparison of their specifications and features.

5G Smartphone Market Outlook

According to our latest research, the global 5G smartphone market size reached USD 620 billion in 2024, driven by rapid network rollouts and strong consumer demand for high-speed connectivity. The market is forecasted to grow at a robust CAGR of 12.5% from 2025 to 2033, reaching an estimated USD 1,800 billion by 2033. This impressive growth trajectory is fueled by accelerating 5G infrastructure deployment, falling device costs, and the proliferation of data-intensive applications, as per our comprehensive market analysis.

The primary growth factor for the 5G smartphone market is the aggressive pace at which telecom operators are rolling out 5G networks globally. As countries prioritize digital transformation and invest heavily in next-generation infrastructure, the availability of 5G coverage is expanding rapidly. This expansion is catalyzing consumer adoption, as users seek enhanced mobile experiences characterized by ultra-fast download speeds, low latency, and seamless connectivity. Furthermore, governments and regulatory authorities in key markets such as China, the United States, and Europe are facilitating spectrum allocations and incentivizing 5G ecosystem development, which is accelerating the penetration of 5G-enabled devices.

Another significant driver lies in the evolving consumer expectations and the increasing reliance on mobile devices for work, entertainment, and communication. The demand for high-quality video streaming, immersive gaming, augmented reality (AR), and virtual reality (VR) applications is surging, and these applications require the high bandwidth and low latency that only 5G smartphones can deliver. Additionally, the COVID-19 pandemic has accelerated digital adoption, prompting both consumers and enterprises to upgrade their devices to leverage the benefits of 5G connectivity. Leading smartphone manufacturers are responding by launching a diverse range of 5G models across various price points, ensuring that advanced connectivity is accessible to a broad spectrum of users.

The competitive pricing strategies adopted by OEMs, coupled with the decreasing cost of 5G chipsets, are further propelling market growth. As economies of scale are achieved in 5G smartphone production, the average selling price of these devices is declining, making them more affordable to mass-market consumers. This democratization of 5G access is particularly evident in emerging markets, where the adoption curve is steepening. Moreover, collaboration between telecom operators and smartphone manufacturers, such as bundled data plans and device financing options, is making 5G smartphones more attainable, thus expanding the addressable market.

Regionally, Asia Pacific remains the undisputed leader in the 5G smartphone market, accounting for the largest share of global shipments and revenue. China, South Korea, and Japan are at the forefront of 5G adoption, driven by their advanced telecom infrastructure and proactive government policies. North America and Europe are also witnessing rapid uptake, supported by ongoing network expansion and high consumer purchasing power. Meanwhile, Latin America and the Middle East & Africa are emerging as promising growth regions, fueled by increasing investments in 5G networks and a growing youth population eager to embrace cutting-edge technology.

Operating System Analysis

The operating system segment of the 5G smartphone market is primarily dominated by Android and iOS, with a minor share held by other operating systems. Android leads the segment, commanding a significant market share due to its open-source nature, extensive OEM partnerships, and broad device portfolio spanning all price ranges. The flexibility and customization offered by Android have enabled manufacturers to rapidly introduce 5G-enabled models tailored to diverse consumer needs, from affordable entry-level devices to flagship smartphones. This diversity has been instrumental in accelerating 5G adoption, particularly in price-sensitive markets across Asia Pacific and Latin America, where Android’s affordability and adaptability are highly valued.

iOS, represented exclusively by Apple’s iPhone lineup, holds a substantial share in the premium segment of the 5G smartphone market. Apple’s strategic focus on integrating cutting-edge 5G capabilities with its proprietary hardware and software ecosystem has reso

Russia Average Import Price: Mobile Phone Set data was reported at 113.000 USD in 2017. This records an increase from the previous number of 89.600 USD for 2016. Russia Average Import Price: Mobile Phone Set data is updated yearly, averaging 86.200 USD from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 135.000 USD in 2008 and a record low of 69.300 USD in 2015. Russia Average Import Price: Mobile Phone Set data remains active status in CEIC and is reported by Federal Customs Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PC007: Average Import Price: Annual.

The average selling price (ASP) of a 5G smartphone increased from the third quarter of 2020 to the first quarter of 2021, due to the release of the iPhone ** and the Samsung Galaxy ***. By the first quarter of 2021, the average selling price of a 5G capable smartphone reached *** U.S. dollars.

In April 2023, the price of Mobile Phone reached $220 per unit (CIF, Qatar), showing a 6.4% increase compared to the previous month.

Dive into the dynamic and competitive landscape of the Indian smartphone market with this extensive dataset. This collection details over 450 unique smartphone models from major brands like Apple, Samsung, Xiaomi, Vivo, Oppo, Realme, OnePlus, Motorola, and many more, anticipated to be available in 2024 and early 2025.

This dataset is a goldmine for tech enthusiasts, data analysts, market researchers, and machine learning practitioners. It provides a holistic view of the market, capturing the full spectrum from budget-friendly 5G entrants to flagship powerhouses, including futuristic models like the iPhone 17 series and Samsung Galaxy S25 Ultra.

Key Highlights:

Future-Forward: Includes specifications for upcoming, unreleased models (e.g., iPhone 17, Samsung Galaxy S25 series), offering a predictive look at the market.

Comprehensive Specifications: Covers critical phone attributes including price, brand, model, processor, RAM, storage, battery capacity, display specs, camera setup, OS version, and special features.

Indian Market Focus: All prices are listed in Indian Rupees (₹), reflecting the specific pricing strategies and options available in one of the world's largest smartphone markets.

Ideal for Analysis: Perfect for conducting competitive analysis, price prediction modeling, market segmentation, brand comparison, and feature trend analysis (e.g., the rise of 120Hz displays, large batteries, and specific chipsets).

**Potential Use Cases ** This dataset can be used for various projects and analyses, such as:

Price Prediction: Build a model to predict the price of a smartphone based on its specifications.

Market Basket Analysis: Explore which features commonly appear together (e.g., 120Hz display with a powerful processor).

Brand Comparison: Compare brands based on the average price, rating, or value-for-money propositions.

Segment Identification: Cluster phones into categories like Budget, Mid-Range, Premium, and Flagship based on their features and price.

Feature Trend Analysis: Analyze trends like battery capacity over time, the adoption of high-refresh-rate displays, or the evolution of camera setups.

Recommendation System: Develop a content-based system to recommend phones based on a user's preferred specifications.

Column Description Column Name Description model: The full name of the smartphone model (e.g., "Samsung Galaxy S24 Ultra"). price: The price of the smartphone in Indian Rupees (₹). rating: The user or critic rating of the phone (out of 100, where available). Many values are missing (NaN). sim: Details about SIM card support and connectivity options (e.g., "Dual Sim, 5G, VoLTE, Wi-Fi"). processor: The model and core configuration of the phone's processor (e.g., "Snapdragon 8 Gen 3, Octa Core"). ram: The RAM capacity and internal storage size (e.g., "12 GB RAM, 256 GB inbuilt"). battery: The battery capacity (in mAh) and details about fast charging support. For some Apple models, it lists the display size. display: Specifications of the phone's display including size, resolution, refresh rate, and type (e.g., "6.7 inches, 1080 x 2340 px, 120 Hz Display with Punch Hole"). camera:Configuration of the rear and front camera system (e.g., "50 MP + 8 MP Dual Rear & 32 MP Front Camera"). card : Information about expandable storage via memory card (e.g., "Memory Card Supported, upto 1 TB") or if it's not supported. os : The operating system and its version (e.g., "Android v15", "iOS v18"). Additional notes like "No FM Radio" are sometimes included here. Acknowledgements (for Kaggle) This dataset was synthetically compiled for educational and analytical purposes. The specifications and details are modeled after real-world patterns and rumors from the tech industry but are not officially sourced from the manufacturers. It is intended for practicing data science and analytics skills.

What can you discover about the future of smartphones? Can you predict the next big feature that will separate budget phones from flagships? How does a brand like Apple justify its premium price tag compared to competitors with similar specs? Is there a clear "sweet spot" for battery capacity and price in the mid-range segment? What is the most common RAM and storage configuration in 2024?

Happy analyzing!