Global mobile data usage was estimated at over ******* petabytes in 2022, with forecasts placing 2027 usage at over ******* petabytes. Mobile handsets accounted for the majority of data use in 2022, followed by cellular internet of things (IoT) devices.

The population share with mobile internet access in North America was forecast to increase between 2024 and 2029 by in total 2.9 percentage points. This overall increase does not happen continuously, notably not in 2028 and 2029. The mobile internet penetration is estimated to amount to 84.21 percent in 2029. Notably, the population share with mobile internet access of was continuously increasing over the past years.The penetration rate refers to the share of the total population having access to the internet via a mobile broadband connection.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the population share with mobile internet access in countries like Caribbean and Europe.

The global number of smartphone users in was forecast to continuously increase between 2024 and 2029 by in total 1.8 billion users (+42.62 percent). After the ninth consecutive increasing year, the smartphone user base is estimated to reach 6.1 billion users and therefore a new peak 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).Find more key insights for the number of smartphone users in countries like Australia & Oceania and Asia.

This Dataset is instrumental if you are working on a machine-learning project where you are working in which you need information about smartphones, and feature phone available in the Indian market. This Dataset is having 5 columns -> model name, price, ratings, reviews, and specifications. Do not confuse it with the duplicated values in the name and the price columns, because in the model name, there are the same phones available with different color options Google pixel 6pro is available in 2-3 color options but the price was the same. So your domain knowledge and how better you do the feature engineering over this dataset is dependent. The price is in the Indian rupee you can convert it according to your use case. Now I Updated the dataset and added a new version of the dataset after some Preprocessing (Updated_Mobile_Dataset.csv) In which the new version does not contain any null values added the company column in the new version and also separated the Rom and Ram columns. The shape of the newly updated data set is (28036, 8) The objective here is to forecast the price of mobile phones. Please upvote if you find the dataset useful.

The population share with mobile internet access in the United States was forecast to continuously increase between 2024 and 2029 by in total *** percentage points. After the ninth consecutive increasing year, the mobile internet penetration is estimated to reach ***** percent and therefore a new peak in 2029. Notably, the population share with mobile internet access of was continuously increasing over the past years.The penetration rate refers to the share of the total population having access to the internet via a mobile broadband connection. 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).

China Internet Service: Usage Rate: Mobile Phone: Email data was reported at 32.600 % in Jun 2018. This records an increase from the previous number of 30.900 % for Dec 2017. China Internet Service: Usage Rate: Mobile Phone: Email data is updated semiannually, averaging 25.900 % from Jun 2009 (Median) to Jun 2018, with 19 observations. The data reached an all-time high of 32.600 % in Jun 2018 and a record low of 9.800 % in Jun 2009. China Internet Service: Usage Rate: Mobile Phone: Email data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Purpose of Internet Usage: Mobile Phone.

China Internet Service: Usage Rate: Mobile Phone: Internet Search data was reported at 77.900 % in Dec 2020. This records a decrease from the previous number of 81.600 % for Jun 2020. China Internet Service: Usage Rate: Mobile Phone: Internet Search data is updated semiannually, averaging 77.050 % from Jun 2009 (Median) to Dec 2020, with 24 observations. The data reached an all-time high of 83.100 % in Dec 2019 and a record low of 26.200 % in Jun 2009. China Internet Service: Usage Rate: Mobile Phone: Internet Search data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Purpose of Internet Usage: Mobile Phone. Affected by the COVID-19, the data cut-off time for the 2019 is March 2020.

This dataset will provide the data of mobile phones in amazon(in a single page) alongwith image url. We can use this dataset to develop a recommender system in for a website to practise .

China Internet Service: Usage Rate: Mobile Phone: Microblog data was reported at 40.100 % in Jun 2018. This records an increase from the previous number of 38.000 % for Dec 2017. China Internet Service: Usage Rate: Mobile Phone: Microblog data is updated semiannually, averaging 35.800 % from Dec 2010 (Median) to Jun 2018, with 15 observations. The data reached an all-time high of 49.500 % in Jun 2013 and a record low of 15.500 % in Dec 2010. China Internet Service: Usage Rate: Mobile Phone: Microblog data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Purpose of Internet Usage: Mobile Phone.

China Internet Service: Usage Rate: Mobile Phone: Online Music data was reported at 66.600 % in Dec 2020. This records a decrease from the previous number of 68.200 % for Jun 2020. China Internet Service: Usage Rate: Mobile Phone: Online Music data is updated semiannually, averaging 66.100 % from Jun 2009 (Median) to Dec 2020, with 24 observations. The data reached an all-time high of 70.500 % in Dec 2019 and a record low of 25.800 % in Jun 2009. China Internet Service: Usage Rate: Mobile Phone: Online Music data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Purpose of Internet Usage: Mobile Phone. Affected by the COVID-19, the data cut-off time for the 2019 is March 2020.

Switzerland is leading the ranking by population share with mobile internet access , recording 95.06 percent. Following closely behind is Ukraine with 95.06 percent, while Moldova is trailing the ranking with 46.83 percent, resulting in a difference of 48.23 percentage points to the ranking leader, Switzerland. The penetration rate refers to the share of the total population having access to the internet via a mobile broadband connection.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).

Do you know?

Do you know how much time you spend on an app? Do you know the total use time of a day or average use time of an app?

What it consists of?

This data set consists of - how many times a person unlocks his phone. - how much time he spends on every app on every day. - how much time he spends on his phone.

It lists the usage time of apps for each day.

What we can do?

Use the test data to find the Total Minutes that we can use the given app in a day. we can get a clear stats of apps usage. This data set will show you about the persons sleeping behavior as well as what app he spends most of his time. with this we can improve the productivity of the person.

The dataset was collected from the app usage app.

China Internet Service: Usage Rate: Mobile Phone: Instant Communication data was reported at 99.300 % in Dec 2020. This records a decrease from the previous number of 99.800 % for Jun 2020. China Internet Service: Usage Rate: Mobile Phone: Instant Communication data is updated semiannually, averaging 90.450 % from Jun 2009 (Median) to Dec 2020, with 24 observations. The data reached an all-time high of 99.800 % in Jun 2020 and a record low of 61.500 % in Jun 2010. China Internet Service: Usage Rate: Mobile Phone: Instant Communication data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Purpose of Internet Usage: Mobile Phone. Affected by the COVID-19, the data cut-off time for the 2019 is March 2020.

China Internet Service: Usage Rate: Mobile Phone: Advance Booking for Journey data was reported at 49.000 % in Dec 2018. This records an increase from the previous number of 45.500 % for Jun 2018. China Internet Service: Usage Rate: Mobile Phone: Advance Booking for Journey data is updated semiannually, averaging 24.100 % from Dec 2010 (Median) to Dec 2018, with 17 observations. The data reached an all-time high of 49.000 % in Dec 2018 and a record low of 3.700 % in Jun 2011. China Internet Service: Usage Rate: Mobile Phone: Advance Booking for Journey data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Purpose of Internet Usage: Mobile Phone.

Quadrant provides Insightful, accurate, and reliable mobile location data.

Our privacy-first mobile location data unveils hidden patterns and opportunities, provides actionable insights, and fuels data-driven decision-making at the world's biggest companies.

These companies rely on our privacy-first Mobile Location and Points-of-Interest Data to unveil hidden patterns and opportunities, provide actionable insights, and fuel data-driven decision-making. They build better AI models, uncover business insights, and enable location-based services using our robust and reliable real-world data.

We conduct stringent evaluations on data providers to ensure authenticity and quality. Our proprietary algorithms detect, and cleanse corrupted and duplicated data points – allowing you to leverage our datasets rapidly with minimal processing or cleaning. During the ingestion process, our proprietary Data Filtering Algorithms remove events based on a number of both qualitative factors, as well as latency and other integrity variables to provide more efficient data delivery. The deduplicating algorithm focuses on a combination of four important attributes: Device ID, Latitude, Longitude, and Timestamp. This algorithm scours our data and identifies rows that contain the same combination of these four attributes. Post-identification, it retains a single copy and eliminates duplicate values to ensure our customers only receive complete and unique datasets.

We actively identify overlapping values at the provider level to determine the value each offers. Our data science team has developed a sophisticated overlap analysis model that helps us maintain a high-quality data feed by qualifying providers based on unique data values rather than volumes alone – measures that provide significant benefit to our end-use partners.

Quadrant mobility data contains all standard attributes such as Device ID, Latitude, Longitude, Timestamp, Horizontal Accuracy, and IP Address, and non-standard attributes such as Geohash and H3. In addition, we have historical data available back through 2022.

Through our in-house data science team, we offer sophisticated technical documentation, location data algorithms, and queries that help data buyers get a head start on their analyses. Our goal is to provide you with data that is “fit for purpose”.

China Internet Service: Usage Rate: Mobile Phone: Online Securities Trading data was reported at 7.000 % in Dec 2016. This records a decrease from the previous number of 7.300 % for Jun 2016. China Internet Service: Usage Rate: Mobile Phone: Online Securities Trading data is updated semiannually, averaging 6.900 % from Dec 2014 (Median) to Dec 2016, with 5 observations. The data reached an all-time high of 7.300 % in Jun 2016 and a record low of 3.500 % in Dec 2014. China Internet Service: Usage Rate: Mobile Phone: Online Securities Trading data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Purpose of Internet Usage: Mobile Phone.

China Internet Service: Usage Rate: Mobile Phone: Online Game data was reported at 52.400 % in Dec 2020. This records a decrease from the previous number of 57.500 % for Jun 2020. China Internet Service: Usage Rate: Mobile Phone: Online Game data is updated semiannually, averaging 45.050 % from Jun 2009 (Median) to Dec 2020, with 24 observations. The data reached an all-time high of 59.000 % in Dec 2019 and a record low of 14.700 % in Jun 2009. China Internet Service: Usage Rate: Mobile Phone: Online Game data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Purpose of Internet Usage: Mobile Phone. Affected by the COVID-19, the data cut-off time for the 2019 is March 2020.

China Internet Service: Usage Rate: Mobile Phone: Website for Social Communication data was reported at 25.400 % in Jun 2014. This records a decrease from the previous number of 30.900 % for Dec 2013. China Internet Service: Usage Rate: Mobile Phone: Website for Social Communication data is updated semiannually, averaging 36.600 % from Jun 2009 (Median) to Jun 2014, with 11 observations. The data reached an all-time high of 42.300 % in Dec 2011 and a record low of 9.600 % in Jun 2009. China Internet Service: Usage Rate: Mobile Phone: Website for Social Communication data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Purpose of Internet Usage: Mobile Phone.

In 2022, the average data used per smartphone per month worldwide amounted to ** gigabytes (GB). The source forecasts that this will increase almost four times reaching ** GB per smartphone per month globally in 2028.

The market for data usage trackers is experiencing robust growth, driven by increasing concerns over data privacy and rising mobile data consumption. The market, estimated at $2 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated market value of $6.5 billion by 2033. This expansion is fueled by several key factors. Firstly, the escalating adoption of smartphones and other mobile devices leads to higher data usage, increasing the need for tools to monitor and manage data consumption efficiently. Secondly, growing awareness of data privacy vulnerabilities and the potential for unexpected data overages are driving consumer demand for data usage trackers. Furthermore, the development of sophisticated features such as real-time data monitoring, customized alerts, and data usage forecasting further enhances the attractiveness of these tools. Competition in the market is relatively fragmented, with players like Mobidia Technology, Systweak Software, Opera, DynamicApps, Lufesu, Times Internet, and DataFlow vying for market share through innovation and targeted marketing strategies. Geographic expansion, especially in developing economies with rapidly growing internet penetration, presents significant opportunities for market expansion. However, the market faces certain challenges. The free availability of basic data monitoring features in mobile operating systems and from mobile carriers may limit the adoption of premium data usage tracker applications. Furthermore, concerns about the security and privacy of data collected by these trackers themselves, potentially a paradox of the product, could hinder broader market acceptance. To overcome these challenges, companies are focusing on developing value-added features, enhancing data security protocols, and building consumer trust through transparency in their data handling practices. Segmenting the market by features (basic vs. advanced), operating system compatibility (iOS vs. Android), and pricing tiers (free vs. premium) is vital for market players to tailor their offerings to specific customer needs. The future of the data usage tracker market hinges on the continued expansion of mobile data usage, heightened data privacy concerns, and the development of innovative and trustworthy solutions.