In 2023, AT&T had a total of 241.53 million wireless subscribers, a significant increase since the previous year. Over the last decade, the wireless subscriber count has been steadily growing and it has more than tripled since 2007.

AT&T’s wireless subscriber base and ARPU

AT&T’s wireless subscribers can be divided into three separate subscription type groups: postpaid, prepaid, and reseller. The largest group by far is the postpaid group which had about 84.7 million subscribers in 2022. The prepaid model has been steadily increasing over the last nine years, while reseller subscriptions have been losing traction since 2016.

Each of these subscribers generates a certain amount of revenue. In the fourth quarter of 2023, the company’s wireless ARPU (average revenue per user) exceeded 50 U.S. dollars for its postpaid service and 56 U.S. dollars for its phone-only postpaid service. AT&T also has one of the lowest monthly churn rates on the U.S. market. This means that the average percentage of people that ended their subscription with the company is low.

Wireless carriers in the United States

Of the three major wireless carriers in the United States - AT&T, Verizon, T-Mobile - out of which AT&T holds the largest share of the wireless subscription market. In the first quarter of 2018, AT&T surpassed Verizon in number of wireless subscriptions and now AT&T have the highest number of subscribers in the United States. In 2020, T-Mobile and Sprint merged and in the second quarter of 2020 the surviving brand T-Mobile USA, had more wireless subscribers than Verizon.

AT&T serviced approximately 117.9 million wireless subscribers as of the fourth quarter of 2024. This continued a period of considerable growth since the first quarter of 2022. AT&T's wireless services are reported under the operator's mobility business unit and, as of the first quarter 2024, no longer report both subscribers and connected devices within the total Mobility subscribers.

In 2023, AT&T had over 22 million wireless subscribers in Mexico. The company's revenue in Mexico amounted to nearly four billion U.S. dollars.

In 2023, AT&T had over 16.6 million prepaid AT&T branded subscribers in Mexico. Figures exclude AT&T subscriptions operated by resellers. The company's revenue generated in Mexico amounted to nearly four billion U.S. dollars.

In 2023, out of a total of approximately 22.3 million AT&T wireless subscriptions in Mexico, 417 thousand were operated by resellers. AT&T revenue generated in Mexico amounted to nearly four billion U.S. dollars that year.

In 2024, U.S. telecommunications operator AT&T had over 89.2 million postpaid subscribers. Postpaid subscriptions remain the backbone of the operator's wireless business, while reseller subscriptions have played a reduced role.

The Database of Faces

Our Database of Faces, (formerly 'The ORL Database of Faces'), contains a set of face images taken between April 1992 and April 1994 at the lab. The database was used in the context of a face recognition project carried out in collaboration with the Speech, Vision and Robotics Group of the Cambridge University Engineering Department.

There are ten different images of each of 40 distinct subjects. For some subjects, the images were taken at different times, varying the lighting, facial expressions (open / closed eyes, smiling / not smiling) and facial details (glasses / no glasses). All the images were taken against a dark homogeneous background with the subjects in an upright, frontal position (with tolerance for some side movement). A preview image of the Database of Faces is available.

The files are in PGM format, and can conveniently be viewed on UNIX (TM) systems using the 'xv' program. The size of each image is 92x112 pixels, with 256 grey levels per pixel. The images are organised in 40 directories (one for each subject), which have names of the form sX, where X indicates the subject number (between 1 and 40). In each of these directories, there are ten different images of that subject, which have names of the form Y.pgm, where Y is the image number for that subject (between 1 and 10).

The database can be retrieved from http://www.cl.cam.ac.uk/Research/DTG/attarchive:pub/data/att_faces.tar.Z as a 4.5Mbyte compressed tar file or from http://www.cl.cam.ac.uk/Research/DTG/attarchive:pub/data/att_faces.zip as a ZIP file of similar size.

A convenient reference to the work using the database is the paper Parameterisation of a stochastic model for human face identification. Researchers in this field may also be interested in the author's PhD thesis, Face Recognition Using Hidden Markov Models, available from http://www.cl.cam.ac.uk/Research/DTG/attarchive/pub/data/fsamaria_thesis.ps.Z (~1.7 MB).

When using these images, please give credit to AT&T Laboratories Cambridge.

UNIX is a trademark of UNIX System Laboratories, Inc.

Contact information Copyright © 2002 AT&T Laboratories Cambridge

Credit: https://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html

AT&T retail encompasses a vast network of physical stores and an online platform where customers can purchase a wide array of telecommunication products and services. This includes mobile phones, tablets, internet plans, wireless accessories, and home entertainment packages. AT&T's retail business model operates on a combination of direct sales and authorized retailer partnerships. They leverage their physical stores to showcase their products, offer hands-on experience, and provide expert guidance. You can download the complete list of key information about AT&T retail locations, contact details, services offered, and geographical coordinates, beneficial for various applications like store locators, business analysis, and targeted marketing. The AT&T retail data you can download includes:

Identification & Location:


  store_number, dba (doing business as), store_name

  address, address_line_2, city, state, zip_code, country, country_code, county, latitude, longitude, geo_accuracy


Contact Information:


  phone_number, website_address


Operational Details & Services:


  store_hours, store_services, store_type, coming_soon

The U.S. telecommunications operator AT&T had approximately 15.3 million broadband subscribers as of 2023. This was a slight decrease on the 15.4 million reported for 2022, while subscriber levels have stabilized in the most recent years.

In 2023, AT&T had more than 127.7 million connected devices subscribers. This is around 20 million more subscribers than in the previous year when the total number of connected devices subscriptions amounted to just above 107 million

Mexico Fixed Internet Access: AT&T data was reported at 0.110 Unit mn in Sep 2019. This records a decrease from the previous number of 0.112 Unit mn for Aug 2019. Mexico Fixed Internet Access: AT&T data is updated monthly, averaging 0.127 Unit mn from Oct 2018 (Median) to Sep 2019, with 12 observations. The data reached an all-time high of 0.145 Unit mn in Oct 2018 and a record low of 0.110 Unit mn in Sep 2019. Mexico Fixed Internet Access: AT&T data remains active status in CEIC and is reported by Federal Telecommunications Institute. The data is categorized under Global Database’s Mexico – Table MX.TB014: Number of Fixed Internet Access: by Contract.

AT&T serviced approximately 19 million wireless prepaid subscribers as of the fourth quarter of 2024, with a marginal decrease from the previous quarter. Postpaid subscribers account for a greater share of the operator's wireless business, with a reported over 89 million as of the same period. AT&T's wireless services are reported under the operator's mobility business unit.

The wireless telecommunication carrier industry has witnessed significant shifts recently, driven by evolving consumer demands and technological advancements. The popularity of smartphones and rising data consumption habits have mainly driven growth. Households have chosen to disconnect their landlines to cut costs and receive network access away from home. Industry revenue was bolstered during the current period by a surge in mobile internet demand. The revival of unlimited data and call plans prompted industry-wide adjustments to pricing and data offerings. While competition has intensified, leading to price wars and slender margins, carriers have embraced bundled offerings of value-added services, like streaming subscriptions, to distinguish themselves. Despite these efforts, revenue growth remains sluggish amid high operational costs and a saturated market. Overall, Wireless Telecommunications Carriers' revenue has modestly grown at an annualized rate of 0.1% to total $340.3 billion in 2025, when revenue will climb an estimated 6.0%, as the early shift to fifth-generation (5G) enables businesses to renegotiate the current product-price paradigm with consumers. The industry is defined by a transition from primarily providing voice services to focusing on providing data services. Technological change, namely the shift from fourth-generation (4G) wireless data services to 5G, continues to shape the industry. Companies expand scope through mergers and acquisitions, acquiring spectrum and niche customer bases. The battle for wireless spectrum intensified as 5G technology became a focal point, requiring carriers to secure valuable frequency bands through hefty investments. For instance, Verizon's $45 billion expenditure in the C-band spectrum auction highlights the critical importance of spectrum acquisition. While Federal Communications Commission (FCC) regulations have curtailed large-scale consolidations, strategic alliances and mergers have been common to share infrastructure and expand market reach. Also, unlimited data plans have shaken up cost structures and shifted consumers to new providers. Following the expansion of unlimited data and calls, profit is poised to inch downward as the cost of acquiring new customers begins to mount. Profitability is additionally hindered by supply chain disruptions, which still loom large, as equipment delays and price hikes impact rollout timeliness. Industry revenue is forecast to incline at an annualized 5.4% through 2030, totaling an estimated $443.5 billion, driven by the expansion of mobile devices using data services and increasing average revenue per user. As the rollout of 5G networks increases the speed of wireless data services, more consumers will view on-the-go internet access as an essential function of mobile phones. Moving forward, the industry landscape will be characterized by the heightened competition among carriers for wireless spectrum, an already scarce resource and efforts to connect more Americans in remote parts of the country to fast and reliable internet. Subscriber saturation presents a formidable challenge, compelling carriers to focus on existing customers and innovative service packages. Companies like AT&T and Verizon are pioneering flexible infrastructure projects, which could redefine the industry’s operational efficiency. Despite facing spectrum supply limitations, the industry is poised to benefit from seamless connectivity solutions for various sectors, potentially redefining wireless carriers’ roles in an increasingly interconnected world.

When it comes to share of Americans using AT&T as mobile phone carrier, 23 percent of 18 - 29 year olds do so in the U.S. This is according to exclusive insights from the Consumer Insights Global survey which shows that 24 percent of 30 - 49 year old consumers also fall into this category.Statista Consumer Insights offer you all results of our exclusive Statista surveys, based on more than 2,000,000 interviews.

The statistic depicts the churn rate of AT&T in regards to wireless subscribers from 2007 to 2017. In 2017, the churn rate was at 2.36 percent.

AT&T - additional information

AT&T is an American multinational telecommunications company based in Dallas, Texas. The company was recently ranked as being the most valuable telecom brand in the world and the company naturally enjoys the lead in the market in the United States as well. The company’s operating revenue has been strong and consistent over the past years and has consistently sat at more than 100 billion US dollars annually for some time. AT&T’s net profit however has fluctuated somewhat in recent times but has also been as high as almost 20 billion US in the past.

Employee numbers at AT&T have been declining annually since 2007, due to a number of various cuts across the business. Despite the cuts, AT&T was still the telecommunications company with the greatest number of employees as of 2012. In the United States AT&T’s greatest competitor is Verizon Communications, who also enjoys a significant share of the wireless market across the country. Verizon was also among the most valuable telecommunications brands worldwide with a value of more than 53 billion as of 2013.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

AT&T Global Notes: A Solid Investment for the Future? (TBB)

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

What's the Future Hold for AT&T (T) Fractional Preferred Stock?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Wired telecommunications carriers offer local and long-distance voice services using the public switched telephone network and wholesale access to networks for use by companies that provide voice communication services to customers. Once the principal provider of voice communication services, numerous substitutes have siphoned revenue away, such as wireless telephony and Voice over Internet Protocol (VoIP) technology. In recent years, the wired telecommunication carrier industry has faced mounting challenges as wireless communication technologies advance rapidly. The increasing global penetration of smartphones and mobile internet has caused a noticeable shift, with more users opting for wireless connections. This trend is primarily driven by the expansion of 5G networks, which offer faster and more reliable service. Traditional wired telecommunications, like landlines and DSL, are falling out of favor due to their slower speeds and limited reliability. Carriers have had to adapt swiftly, often bundling services like internet and TV to maintain customer loyalty and reduce churn rates. Industry-wide revenue has inched forward at an average annualized 0.9% over the past five years. It is expected to total $66.1 billion in 2025, when revenue will regress by 0.3%. Profit is slated to strengthen as carriers have made cost-cutting measures in response to waning demand. Still, the industry has yet to achieve the same revenue totals that it did in 2019. While some wired carriers have managed to soften the blow by bundling services, the trend has continually moved towards more flexible communication options. Wired telecommunications carriers have begun deploying fiber-optic networks, which provide faster speeds and larger bandwidth capacity than traditional copper. Deploying fiber-optic networks has partially mitigated declining demand. Also, business customers have been hesitant to abandon their landlines due to the associated reliability and security. Programs like the FCC’s Rural Digital Opportunity Fund and private investments have been pivotal in expanding broadband access. Despite these vestiges of demand, wired telecommunication has largely lost ground to its wireless counterpart. Major carriers will continue centering and expanding services such as high-speed internet at the expense of copper wired service and infrastructure. As demand for local and long-distance voice services continues to depress and more households switch to wireless phones, this industry will endure challenges. With the phasing out of copper infrastructure, carriers are betting on fiber-optic technology to provide high speeds and bandwidth. Investments spurred by federal initiatives will extend broadband access and fuel growth in underserved areas, though companies will need to commit substantial upfront funds. Profit will climb slightly due to the prevalence of bundling packages and higher-priced fiber-optic services, which will help temper further declines. Industry revenue will marginally drop at an annualized 0.2% to $65.5 billion in 2030.

In 2021, AT&T provided service for over 19 million prepaid subscribers. AT&T has experienced a strong growth in the prepaid segment, adding nearly 14 million subscribers from 2011 to 2021.

Congo, Republic of Internet Usage: Device Vendor Market Share: Mobile: AT&T data was reported at 0.000 % in 20 Apr 2025. This stayed constant from the previous number of 0.000 % for 19 Apr 2025. Congo, Republic of Internet Usage: Device Vendor Market Share: Mobile: AT&T data is updated daily, averaging 0.000 % from Apr 2024 (Median) to 20 Apr 2025, with 33 observations. The data reached an all-time high of 0.050 % in 16 Apr 2025 and a record low of 0.000 % in 20 Apr 2025. Congo, Republic of Internet Usage: Device Vendor Market Share: Mobile: AT&T data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Congo, Republic of – Table CG.SC.IU: Internet Usage: Device Vendor Market Share.