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.

The telecommunications firm Verizon is the leading provider of mobile services in the United States, with a market share of nearly ** percent of wireless subscriptions as of the last quarter of 2024. T-Mobile and AT&T are the other major wireless carriers in the U.S. market.  The market share is based on subscription figures reported by the companies in quarterly earnings and financial statements. Mobile virtual network operator (MVNO) subscriptions were not considered for the statistic. Seismic shift: T-Mobile and Sprint Merger T-Mobile’s **** billion U.S. dollar acquisition of Sprint Corp. became official on 1st April 2020, a merger that temporarily reduced the number of major wireless providers in the United States. Under the terms of the merger, T-Mobile acquired Sprint’s ***** million postpaid subscribers, joining the 47 million T-Mobile postpaid wireless subscribers. DISH Network Corporation acquired Sprint’s prepaid mobile business, Boost Mobile, raising that number to ****, satisfying the United States Department of Justice (DOJ) that the market would remain competitive.  T-Mobile is the largest U.S. telco by market cap As of 2024, T-Mobile had a market capitalization of over *** billion U.S. dollars, the highest of any U.S. telecommunications company. Beijing-based China Mobile and U.S. giant Verizon trailed, with a market cap of *** and *** billion U.S. dollars, respectively. Comcast and AT&T were valued at *** and *** billion U.S. dollars, respectively.

Prepaid Phone Plan Market Outlook

The global market size of prepaid phone plans is projected to witness significant growth, expected to rise from approximately USD 50 billion in 2023 to an estimated USD 90 billion by 2032, growing at a compound annual growth rate (CAGR) of 6.5%. This growth is driven by several factors, including increased mobile phone penetration, the rising cost-consciousness among consumers, and the flexibility and control offered by prepaid plans over traditional postpaid contracts.

One of the primary growth factors for the prepaid phone plan market is the widespread adoption of smartphones across various demographics. With the global smartphone penetration rate continuously increasing, more consumers are opting for prepaid plans due to their affordability and convenience. Additionally, prepaid plans do not require long-term commitments or credit checks, making them an attractive option for younger users, individuals with unstable incomes, or those with credit issues. This democratization of mobile phone usage is a significant driver of market expansion.

Another crucial factor is the evolving consumer behavior and preference towards greater control over mobile expenses. Prepaid phone plans allow users to better manage their monthly spending on mobile services by providing a clear and upfront cost structure. This transparency is increasingly favored in a market where consumers are becoming more budget-conscious and wary of hidden fees typically associated with postpaid plans. Furthermore, the advent of digital payment methods and the integration of mobile app management for prepaid services have simplified the user experience, further bolstering market growth.

The technological advancements in network infrastructure, particularly the rollout and adoption of 4G and 5G technologies, also play a pivotal role in driving the prepaid phone plan market. Enhanced network capabilities offer improved service quality and higher data speeds, which are critical factors for today's data-heavy mobile applications. As telecom operators continue to upgrade their infrastructure, the attractiveness of prepaid plans, especially those with unlimited data options, is expected to rise. This technological shift not only caters to individual users but also attracts business end-users who require reliable and flexible mobile solutions for their operations.

Regional outlook indicates that Asia Pacific will remain a dominant player in the prepaid phone plan market, driven by its vast population and high mobile phone penetration rates. Markets such as India and China are expected to lead the growth due to their large base of cost-sensitive consumers. North America and Europe are also significant markets, with a consistent demand for flexible mobile plans. Meanwhile, Latin America and the Middle East & Africa regions are anticipated to experience moderate growth, driven by increasing digital connectivity and mobile network improvements.

The rise in Cellular Network Subscription has significantly influenced the prepaid phone plan market. As more consumers worldwide seek reliable and affordable connectivity, the demand for cellular network services continues to grow. This trend is particularly evident in regions where digital infrastructure is rapidly expanding, enabling greater access to mobile networks. The flexibility and affordability of prepaid plans make them an ideal choice for individuals who prefer to manage their mobile expenses without the constraints of long-term contracts. As cellular network subscriptions increase, telecom operators are compelled to innovate and offer more competitive prepaid options to capture this burgeoning market segment.

Plan Type Analysis

In the segment of plan type, various options such as monthly plans, pay-as-you-go plans, unlimited plans, and others have distinct features and cater to different user needs. Monthly plans, which typically offer a set amount of data, voice, and text services, are popular among users who prefer a predictable and routine billing cycle. These plans often come with rollover benefits, allowing unused data to be carried over to the next month, thus providing added value to the consumers.

Pay-as-you-go plans offer the ultimate flexibility, allowing users to purchase credits that can be used for calls, texts, and data as needed. This type of plan is particularly attractive to users who have irregular usage patterns or those who seek to

Mobile penetration rate (in %) refers to mobile subscriptions over total population in Singapore

About this dataset

Context

The dataset tabulates the Mobile population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Mobile across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Mobile was 183,289, a 0.93% decrease year-by-year from 2021. Previously, in 2021, Mobile population was 185,017, a decline of 0.85% compared to a population of 186,611 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Mobile decreased by 20,041. In this period, the peak population was 203,330 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Mobile is shown in this column.
• Year on Year Change: This column displays the change in Mobile population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Mobile Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Mobile population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Mobile. The dataset can be utilized to understand the population distribution of Mobile by age. For example, using this dataset, we can identify the largest age group in Mobile.

Key observations

The largest age group in Mobile, AL was for the group of age 20 to 24 years years with a population of 14,449 (7.81%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Mobile, AL was the 80 to 84 years years with a population of 3,589 (1.94%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Mobile is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Mobile total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Mobile Population by Age. You can refer the same here

The global cellular network subscription market is experiencing robust growth, driven by increasing smartphone penetration, expanding mobile data usage, and the proliferation of affordable data plans. The market's Compound Annual Growth Rate (CAGR) from 2019 to 2024 is estimated to be around 7%, reflecting a steady rise in subscriptions. This growth is particularly evident in developing economies where mobile connectivity is rapidly expanding access to information, communication, and essential services. Key players like Airtel, Reliance Jio, China Mobile, and Vodafone are strategically investing in network infrastructure upgrades, 5G deployment, and innovative service offerings to maintain their market share and cater to evolving customer demands. The market segmentation reveals varying growth rates across regions, with Asia-Pacific and Africa exhibiting the highest growth potential due to their large populations and expanding middle classes. However, market growth is not without its challenges. Factors such as network congestion in densely populated areas, regulatory hurdles, and the need for continuous investment in infrastructure upgrades pose significant restraints. Competition among established players and the emergence of new technologies like satellite internet services are also influencing market dynamics. Furthermore, addressing the digital divide and ensuring equitable access to cellular network services across different socioeconomic groups remain crucial for sustainable market expansion. The forecast period (2025-2033) projects continued growth, albeit at a slightly moderated pace, as the market matures and penetration rates reach higher levels in established markets. This moderation accounts for saturation in some developed regions, while still reflecting significant growth opportunities in emerging markets.

The Switzerland telecom market, valued at approximately CHF 5 billion in 2025, is projected to experience steady growth, exhibiting a Compound Annual Growth Rate (CAGR) of 4.32% from 2025 to 2033. This growth is driven by increasing mobile data consumption fueled by the proliferation of smartphones and the rising adoption of high-bandwidth applications like streaming video and online gaming. The expanding Internet of Things (IoT) market, with its demand for robust connectivity solutions, also contributes significantly to market expansion. Furthermore, the ongoing investment in 5G network infrastructure is expected to enhance network capacity and speed, attracting more subscribers and driving service revenue growth. Competition among established players like Sunrise Communications AG, Salt Mobile SA, and Wingo, alongside the presence of Mobile Virtual Network Operators (MVNOs) such as Lyca Mobile and Teleking, fosters innovation and drives pricing competitiveness, impacting overall market dynamics. However, regulatory hurdles and potential saturation in certain segments, particularly in saturated voice services, could pose challenges to sustained growth. The market is segmented into voice services (wired and wireless), data and messaging services, and OTT and PayTV services, each contributing to the overall market value and exhibiting varying growth trajectories. The continued adoption of over-the-top (OTT) services and the shift towards bundled packages present both opportunities and threats for traditional telecom providers. The forecast period (2025-2033) anticipates continued market expansion, primarily driven by the sustained demand for data services. While the growth rate may slightly fluctuate year-on-year due to economic factors and technological advancements, the long-term outlook remains positive. The market's evolution will likely witness a further consolidation among players, strategic partnerships, and ongoing investments in network infrastructure to accommodate the increasing data traffic and evolving customer needs. The focus will shift increasingly towards providing higher-value services such as cloud-based solutions and personalized offerings to maintain competitiveness and capture market share. The increasing importance of cybersecurity and data privacy will also shape market strategies and investment decisions. This comprehensive report provides an in-depth analysis of the Switzerland telecom market, covering the period from 2019 to 2033. With a base year of 2025 and an estimated year of 2025, this report offers valuable insights into market size, trends, and future growth prospects, including detailed forecasts from 2025 to 2033. This study is crucial for businesses operating in or planning to enter the dynamic Swiss telecom sector. Keywords: Switzerland telecom market, Swiss telecom industry, Swiss mobile market, 5G Switzerland, Swiss telecom operators, Swisscom, Sunrise, Salt, telecom market analysis, telecom market forecast, Swiss telecommunications. Recent developments include: February 2024: Swiss Post revealed its expansion into the mobile phone industry with the launch of Post Mobile. The introduction of phone and data subscriptions at competitive rates is expected to enhance the profitability of the postal service. In Switzerland, Post Mobile devices will utilize the 5G network operated by Salt, which reportedly covers 99.9% of the country. Salt will handle customer service and support following the purchase of a package., July 2023: Ericsson implemented its Radio Dot System solution for Swisscom, enabling the delivery of high-capacity indoor 5G to enterprise clients within a 10-km radius from a single centralized location. In a statement, Ericsson highlighted that this solution allows Swisscom to leverage fiber and hybrid fiber cables to power and transmit data to active indoor antennas from the indoor radio unit (IRU), significantly extending cable coverage from 300 m to 10 km.. Key drivers for this market are: Rising Demand for 5G, Growth of IoT Usage in Telecom. Potential restraints include: Rising Demand for 5G, Growth of IoT Usage in Telecom. Notable trends are: Rising Demand for 5G is Expected to Drive the Market.

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.

T-Mobile (TMUS) Unveiling the Future of Wireless

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.

T-Mobile US Inc. (TMUS): Unleashing the Future of Communication?

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

Mobile Data Traffic Market Outlook

The global mobile data traffic market size was estimated at approximately USD 68 billion in 2023 and is projected to surge to about USD 320 billion by 2032, exhibiting a remarkable compound annual growth rate (CAGR) of 18.5% over the forecast period. This growth is driven by the increasing penetration of smartphones, advancements in network technologies, and the rising consumption of data-intensive applications and services.

One of the primary growth factors for the mobile data traffic market is the rapid expansion of the smartphone user base globally. As smartphones become more affordable and accessible, especially in emerging markets, the number of mobile internet users is skyrocketing. This trend is further amplified by the increasing availability of high-speed mobile networks, which make data-heavy applications such as video streaming and online gaming more feasible and attractive to users. The proliferation of affordable data plans is also encouraging users to consume more mobile data, thereby bolstering market growth.

Another significant driver of growth is the continuous evolution of network technologies. The transition from 3G to 4G, and now to 5G, has significantly enhanced data transmission speeds and network capabilities. 5G technology, in particular, promises ultra-low latency, higher capacity, and faster download and upload speeds, which are expected to revolutionize various sectors such as healthcare, automotive, and smart cities. The deployment and adoption of 5G networks are anticipated to boost mobile data traffic volumes exponentially, as it facilitates the seamless use of high-bandwidth applications, including augmented reality (AR), virtual reality (VR), and Internet of Things (IoT) devices.

The increase in video content consumption is also a major factor driving the market. Video traffic accounts for a substantial portion of mobile data usage, driven by platforms like YouTube, Netflix, and social media sites that prioritize video content. The trend of live streaming and video-on-demand services is creating a massive surge in data traffic, with users increasingly accessing high-definition (HD) and even 4K content. Moreover, the COVID-19 pandemic has accelerated the adoption of digital entertainment and online education, further increasing the demand for mobile data.

Regionally, the growth of mobile data traffic is witnessing variations with Asia Pacific leading the charge. The region's high population density, coupled with increasing urbanization and smartphone penetration, makes it a significant contributor to global data traffic. Countries like China and India are at the forefront, driven by government initiatives to promote digitalization and the rollout of advanced mobile networks. North America and Europe are also substantial markets due to their well-established network infrastructure and early adoption of new technologies. However, the growth rates in these regions are relatively moderate compared to the exponential growth seen in Asia Pacific and Latin America.

Traffic Type Analysis

The mobile data traffic market can be segmented by traffic type into video, audio, data, and others. Video traffic is the most dominant segment, accounting for the largest share of mobile data usage worldwide. The proliferation of video streaming services, alongside user-generated video content on social media platforms, significantly contributes to this dominance. As more users switch to high-definition and 4K streaming, the demand for data-intensive video content continues to rise. Additionally, the growing popularity of live streaming and video calls, particularly in the context of remote work and online education, further propels this segment's growth.

Audio traffic also plays a significant role in the mobile data traffic market. The increasing usage of music streaming services such as Spotify, Apple Music, and various podcast platforms are driving the growth of this segment. The trend of consuming audio content on the go, facilitated by improved network speeds and unlimited data plans, is contributing to a steady rise in mobile data traffic from audio services. Furthermore, the adoption of smart speakers and voice assistant technologies is expected to continue bolstering this segment.

Data traffic, encompassing all forms of non-visual and non-audio data, is another crucial segment. This includes browsing, app usage, emails, and other types of data transmission over mobile networks. With the increasing reliance on mobile applications for a wide array of activities—ra

In the first quarter of 2024, T-Mobile US had a churn rate of **** percent for postpaid subscribers, a *****percentage point increase compared to the previous quarter. T-Mobile US has lowered its postpaid churn rate from more than *** percent to below *** percent over the last ten years.

About this dataset

Context

The dataset tabulates the Mobile City population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Mobile City. The dataset can be utilized to understand the population distribution of Mobile City by age. For example, using this dataset, we can identify the largest age group in Mobile City.

Key observations

The largest age group in Mobile City, TX was for the group of age 25 to 29 years years with a population of 63 (19.94%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Mobile City, TX was the 45 to 49 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Mobile City is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Mobile City total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Mobile City Population by Age. You can refer the same here

According to Cognitive Market Research, the global Mobile Network Operator market size will be USD 82142.20 million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.00% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 32856.88 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 24642.66 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 18892.71 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 4107.11 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 1642.84 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.7% from 2024 to 2031.
The Radio Spectrum Allocation category is the fastest growing segment of the Mobile Network Operator industry

Market Dynamics of Mobile Network Operator Market

Key Drivers for Mobile Network Operator Market

Increasing Demand for Mobile Data to Boost Market Growth

The increasing demand for mobile data is a key driver of the Mobile Network Operator (MNO) market as consumers rely heavily on smartphones for streaming, social media, gaming, and remote work. As data consumption rises, fueled by video-heavy platforms like YouTube and Netflix, MNOs are expanding their network capacity and upgrading to 5G to meet these demands. Additionally, the growing adoption of cloud-based services, IoT devices, and mobile applications in both consumer and enterprise markets amplifies data traffic. This surge in data usage pushes MNOs to invest in infrastructure, enhancing network performance and reliability. Consequently, the need for higher data speeds and better connectivity drives the growth and profitability of MNOs worldwide. For instance, T-Mobile launched "Your Name, Our Wireless," a service designed to simplify the creation and management of customized wireless offerings for both traditional and non-traditional MVNOs. This solution operates on the country's largest and most renowned 5G network. With a fully managed, end-to-end system, "Your Name, Our Wireless" makes backend setup and day-to-day operations more efficient. This allows companies to focus on enhancing customer engagement and exploring new revenue opportunities.

Growing Adoption of 5G Technology to Drive Market Growth

The growing adoption of 5G technology is a key driver of the Mobile Network Operator (MNO) market due to its ability to deliver faster speeds, lower latency, and enhanced network capacity. 5G enables a range of advanced applications, including high-definition streaming, augmented reality (AR), virtual reality (VR), and the Internet of Things (IoT), creating a demand for improved mobile network services. As more industries adopt 5G for automation, smart cities, and connected devices, MNOs are investing heavily in infrastructure upgrades to meet these needs. The expanding ecosystem of 5G-compatible devices further accelerates the shift. This adoption not only enhances user experiences but also opens new revenue streams for MNOs, such as enterprise solutions and innovative data-driven services.

Restraint Factor for the Mobile Network Operator Market

High Infrastructure Costs

High infrastructure costs are a major restraint for the Mobile Network Operator (MNO) market, as building and maintaining advanced networks, particularly 5G, requires significant financial investment. Deploying new towers, upgrading existing infrastructure, and expanding coverage in rural or underserved areas involve heavy capital expenditures. Additionally, the costs of acquiring spectrum licenses, maintaining network security, and integrating new technologies like IoT and edge computing further strain MNO budgets. These high upfront costs can slow down network expansions and delay the rollout of services, especially in regions with lower revenue potential. MNOs also face pressure to keep consumer prices competitive, which can limit their ability to recover infrastruc...

The Wireless Telecommunications Carriers industry is highly concentrated, with four mobile network operators (MNOs) – EE, O2, Vodafone and Three – dominating the market. This means revenue is largely dictated by the performance of those top four MNOs. Higher consumer and business demand for wireless connectivity over wired telecoms has supported demand in recent years, as it's advancing to become faster and more reliable. However, revenue is expected to edge downwards at a compound annual rate of 6.4% to £13.1 billion over the five years through 2024-25. The shift in consumer preferences towards data-based communication, like Facebook and WhatsApp, over traditional voice calls and SMS, which have traditionally been higher revenue generators, has led to intense competition, which has reduced average revenue per user (ARPU) and regulatory pressures like reduced mobile termination rates. Economic challenges and affordability issues among consumers have further strained revenue as companies adjust their offerings to remain competitive amid these pressures. MNOs have benefitted from heightened demand for post-paid smartphones and data services as technology demands more data, with average monthly data usage booming 21% to 9.9 GB in 2023. Mobile phone usage and consumers seeking data services to use on their smartphones anytime, anywhere, has further boosted demand and customer access has improved, with 92% of premises being accessible by 5G as of November 2024. However, external competition is climbing with the growing popularity of apps and fierce internal competition, contributing to the drop in revenue. Weak consumer confidence, falling average revenue per user (ARPU) and increasing regulation (including cuts in mobile termination rates) have made operating conditions difficult for wireless telecom providers. Still, in 2024-25, revenue is set to climb by 1.1%, driven by greater 5G uptake, although the cost-of-living crisis has forced many people to cut spending and seek cheaper deals, lowering ARPU. Revenue is forecast to climb at a compound annual rate of 1.2% over the five years through 2029-30 to £13.9 billion. Continued growth in demand for data services and declining competition from wired telecommunications will support MNOs. As 5G networks expand further across the UK, demand for telecom services from businesses and consumers alike is slated to swell. The high capital investment required to maintain and expand the network will likely constrain wireless telecom providers' profitability in the short term, but it will improve product offerings in the long term. However, challenges remain; intense competition and market saturation will likely continue to cut into ARPU, constraining revenue growth, while low MTRs and rising regulation are expected to further limit MNOs’ performance.

The number of mobile subscriptions across the globe continued to grow in 2024, having risen more than ***** percent to surpass *** billion. This number exceeds the global population, with many users maintaining multiple subscriptions for various purposes. Explosion in mobile data use The continued growth in mobile subscriptions has accompanied surging mobile data use worldwide. Forecasts indicate that mobile data traffic is expected to more than double between 2024 and 2030, fueled by evolving consumption habits such as the rise of high-resolution video streaming, the adoption of IoT and AI-powered applications, and the deployment of high-speed 5G mobile networks. This trend underscores a growing reliance on mobile connectivity, and is spurring network operators to invest in mobile network infrastructure. Rural Mobile Network Coverage Disparity While many users have embraced the mobile data revolution, some risk being left behind by a lack of network coverage in remote areas. As of 2023, **** percent of the European population in rural areas were covered by a mobile network, the highest share globally. In contrast, rural coverage in both the Americas and Africa remained below ** percent, highlighting the presence of a digital divide and underlining the need for continued investment in mobile infrastructure.

Adjusted rate ratios for Multiple Sclerosis among private subscribers to mobile phones in Denmark, 1987–1995, followed up through 2004.

About this dataset

Context

The dataset tabulates the Mobile City population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Mobile City across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Mobile City was 154, a 2.67% increase year-by-year from 2021. Previously, in 2021, Mobile City population was 150, an increase of 5.63% compared to a population of 142 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Mobile City decreased by 42. In this period, the peak population was 233 in the year 2009. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Mobile City is shown in this column.
• Year on Year Change: This column displays the change in Mobile City population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Mobile City Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Mobile Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Mobile, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Mobile.

Key observations

Among the Hispanic population in Mobile, regardless of the race, the largest group is of Other Hispanic or Latino origin, with a population of 3,032 (52.13% of the total Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the Mobile
• Population: The population of the specific origin for Hispanic or Latino population in the Mobile is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Mobile total Hispanic or Latino population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Mobile Population by Race & Ethnicity. You can refer the same here

Mobile phone used to pay bills (% age 15+) in Palestine was reported at 0.73676 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Palestine - Mobile phone used to pay bills (% age 15+) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.