The number of smartphone users in the United States was forecast to continuously increase between 2024 and 2029 by in total 17.4 million users (+5.61 percent). After the fifteenth consecutive increasing year, the smartphone user base is estimated to reach 327.54 million 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 Mexico and Canada.

The percentage of U.S. adults who own a smartphone has more than doubled since 2011. Only ** percent of all U.S. adults owned a smartphone in 2011, compared to ** percent of adults who owned a smartphone, as of May 2023. The share of U.S. adults owning a smartphone increased by ** percentage points the highlighted period.  Higher smartphone usage with males and higher-income groups     As smartphone penetration overall has increased over time in the United States, this trend can be observed in the split by gender as well. The penetration rate is not equally high though for both male and female users, as the usage amongst males is around five percent higher than amongst females in the United States. The smartphone penetration rate in the United States correlates appears closely related to with household income in the United States. In households with an annual income of more than ** thousand U.S. dollars the smartphone penetration rate is ** percent or higher, while on the other hand smartphone ownership in households with an annual income below this threshold is below ** percent. Apple leader in U.S. smartphone market     Apple is the leading vendor in the United States smartphone market with almost ** percent of U.S. mobile phone subscribers using an Apple device. Although Apple is the leading vendor in the United States, the Apple iOS operating system has a lower market share than its main competitor Google Android. As the Android operating system is used by the vast majority of smartphone vendors other than Apple, it combines the share of popular brands such as Samsung, LG, and Lenovo/Motorola.

This web map visualizes the prevalence of households in a given geography that do not own a computer, smartphone, or tablet. Data are shown by tract, county, and state boundaries -- zoom out to see data visualized for larger geographies. The map also displays the boundary lines for the jurisdiction of Rochester, NY (visible when viewing the tract level data), as this map was created for a Rochester audience.This web map draws from an Esri Demographics service that is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2014-2018ACS Table(s): B28001, B28002 (Not all lines of ACS table B28002 are available in this feature layer)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 19, 2019National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -555555...) have been set to null. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small. NOTE: any calculated percentages or counts that contain estimates that have null margins of error yield null margins of error for the calculated fields.

This map shows the population in households where a smartphone is the only computing device the household owns. Map is multi-scale, containing data for states, counties, and tracts. Pop-ups display total households that own a smartphone, households that own a smartphone and no other computing device, households that have a cellular data plan for internet, and households that have a cellular data plan and no other type of internet subscription. Cellular data plans might be cheaper and more accessible than a Broadband data plan, however it is less likely to be able to sustain remote learning, work from home, and telehealth.Data come from Census Bureau's American Community Survey Summary Tables: B28001 (used for symbology & pop-up) & B28002 (used for pop-up only). This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available.

This web map visualizes the prevalence of households in a given geography that do not own a computer, smartphone, or tablet. Data are shown by tract, county, and state boundaries -- zoom out to see data visualized for larger geographies. The map also displays the boundary lines for the jurisdiction of Rochester, NY (visible when viewing the tract level data), as this map was created for a Rochester audience.This web map draws from an Esri Demographics service that is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2014-2018ACS Table(s): B28001, B28002 (Not all lines of ACS table B28002 are available in this feature layer)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 19, 2019National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -555555...) have been set to null. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small. NOTE: any calculated percentages or counts that contain estimates that have null margins of error yield null margins of error for the calculated fields.

Smartphone ownership in the United States is most common in the younger age groups. 97 percent of adults aged 18 to 49 own a smartphone, while the penetration rate of smartphones amongst adults 65 years and older is only 76 percent.

Snapshot img

Smartphone Market Size 2025-2029

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

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

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

Request Free Sample

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

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

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

Technology

  Android
  IOS
  Others


Price Range

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


Screen Size

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


Geography

  APAC

    China
    India
    Japan
    South Korea


  Europe

    Germany
    UK
    France


  North America

    Canada
    US


  Middle East and Africa



  South America

    Brazil

By Technology Insights

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

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

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

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

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

Regional Analysis

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

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

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

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

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

SELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES COMPUTERS AND INTERNET USE - DP02 Universe - Total households Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 The 2008 Broadband Improvement Act mandated the collection of data about computer and internet use. As a result, three questions were added to the 2013 American Community Survey (ACS) to measure these topics. The computer use question asked if anyone in the household owned or used a computer and included four response categories for a desktop or laptop, a smartphone, a tablet or other portable wireless computer, and some other type of computer. Respondents selected a checkbox for “Yes” or “No” for each response category. Respondents could select all categories that applied. Question asked if any member of the household has access to the internet. “Access” refers to whether or not someone in the household uses or can connect to the internet, regardless of whether or not they pay for the service. If a respondent answers “Yes, by paying a cell phone company or Internet service provider”, they are asked to select the type of internet service.

The global smartphone penetration in was forecast to continuously increase between 2024 and 2029 by in total 20.3 percentage points. After the fifteenth consecutive increasing year, the penetration is estimated to reach 74.98 percent and therefore a new peak in 2029. Notably, the smartphone penetration of was continuously increasing over the past years.The penetration rate refers to the share of the total population.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 smartphone penetration in countries like North America and the Americas.

Mobile Phone Data Line Market Outlook

The global mobile phone data line market size was valued at approximately $5.4 billion in 2023 and is projected to reach $8.9 billion by 2032, registering a CAGR of 6.2% during the forecast period. The market growth is primarily driven by the rising smartphone penetration, increasing data transfer needs, and advancements in charging technology.

One of the most significant growth factors for the mobile phone data line market is the widespread adoption of smartphones and other mobile devices. With smartphone penetration nearing saturation in developed markets and continuing to rise in emerging economies, the demand for mobile phone data lines is expected to grow robustly. The increasing need for efficient and reliable connectivity for data transfer and charging purposes further propels the market. As mobile devices become more integral to daily activities, consumers are seeking data lines that offer higher speed, durability, and versatility.

Technological advancements in charging and data transfer technologies also contribute significantly to market growth. Innovations such as fast-charging capabilities, reversible connectors like USB Type-C, and enhanced data transfer speeds are attracting consumers to upgrade their existing data lines. Additionally, the growing trend of wireless charging has not completely eliminated the need for traditional data lines, as the latter still remain essential for certain applications such as data transfer, device management, and specific charging needs.

The surge in e-commerce and the proliferation of online shopping platforms have also played a crucial role in the market’s expansion. With the convenience of online stores, consumers now have access to a broader range of products and brands, including high-quality and specialized data lines. This shift towards online purchasing has opened new avenues for market growth, enabling manufacturers to reach a wider audience and offer competitive pricing.

Regionally, Asia Pacific dominates the mobile phone data line market, driven by the high smartphone penetration rates in countries like China and India. North America and Europe also represent significant markets, with steady demand supported by technological adoption and consumer awareness. The Middle East & Africa and Latin America are emerging markets, showing promising growth potential due to increasing smartphone usage and improving economic conditions.

Type Analysis

The mobile phone data line market is segmented into several types, including USB Type-C, Micro USB, Lightning, and Others. Each type has distinct features and caters to various consumer needs and device compatibility. USB Type-C has been gaining significant traction due to its reversible design and high-speed data transfer capabilities. It supports faster charging and is compatible with a wide range of devices, making it a preferred choice among consumers and manufacturers alike.

Micro USB, although being an older technology compared to USB Type-C, still holds a substantial share of the market. Many budget and mid-range smartphones continue to use Micro USB ports, particularly in developing regions. This segment is characterized by its affordability and widespread availability, making it accessible to a large demographic. However, its market share is gradually declining as more devices transition to USB Type-C.

The Lightning connector, exclusive to Apple's ecosystem, remains a significant player in the market. Designed for iPhones, iPads, and other Apple devices, the Lightning cable is known for its durability and efficient data transfer speeds. Despite the speculation about Apple transitioning to USB Type-C, the Lightning connector continues to sustain a loyal customer base, contributing to steady demand in this segment.

Other types of mobile phone data lines include proprietary connectors used by specific brands or specialized cables designed for particular functionalities. These niche segments cater to specific consumer needs and device compatibility requirements, contributing to the overall diversity of the market. The continued innovation in this segment ensures that a wide range of consumer preferences and device specifications are met.

Report Scope

Key US App Market StatisticsUS App Market SizeUS App Market Revenue by AppUS Smartphone UsersUS Smartphone PopulationTime Spent on Apps in the USUS App Market DownloadsUS Downloads by AppUS Daily...

Snapshot img

Rugged Smartphone Market Size 2025-2029

The rugged smartphone market size is forecast to increase by USD 299.6 million, at a CAGR of 4.5% between 2024 and 2029.

The market is experiencing significant growth, driven by increasing demand from the defense sector and emerging applications in industries such as construction, healthcare, and field services. This trend is partly due to the convergence of consumer-grade smartphones with ruggedized features, making them more accessible and cost-effective alternatives to traditional rugged devices. However, this market is not without challenges. One major obstacle is the high cost of manufacturing rugged smartphones, which can limit their widespread adoption. Additionally, the durability and reliability of these devices must be consistently maintained to meet the demanding requirements of their users. To capitalize on this market's potential, companies should focus on developing cost-effective rugged smartphones with superior durability and advanced features to cater to the evolving needs of various industries. By addressing these challenges and leveraging the growing demand, businesses can effectively navigate this dynamic market and secure a competitive edge.

What will be the Size of the Rugged Smartphone Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, with dynamic market activities unfolding across various sectors. Facial recognition technology and wireless charging are increasingly integrated into rugged devices, enhancing security and convenience. Rugged cases with IP68 ratings and sapphire glass offer superior water resistance and drop protection. Proximity sensors and battery life optimization ensure efficient use of resources. Storage capacity and mobile accessories cater to the needs of field service management and outdoor recreation applications. Telephoto lenses and push-to-talk (PTT) capabilities expand the functionality of these devices for public safety and construction applications. Augmented reality (AR) and ultra-wide lenses offer new possibilities for industrial inspections and healthcare diagnoses. Biometric security and thermal management systems ensure optimal device performance and data protection. Protective films, screen size, and cellular connectivity cater to the diverse needs of this market. Rugged smartphones are increasingly being adopted for military applications, with features such as mil-std-810h certification, external antennas, and night mode enhancing their utility. The integration of touchscreen technology, ambient light sensors, and virtual reality (VR) capabilities further expands the potential applications of rugged smartphones. Fast charging and extended battery options cater to the demands of users in the field. Rugged smartphones continue to be a crucial tool for industries requiring robust and reliable devices, with ongoing advancements in technology shaping the market's future.

How is this Rugged Smartphone Industry segmented?

The rugged smartphone industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeSemi-ruggedFully-ruggedUltra-ruggedEnd-userIndustrialCommercialMilitary and defenseGovernmentGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth KoreaRest of World (ROW)

By Type Insights

The semi-rugged segment is estimated to witness significant growth during the forecast period.Semi-rugged smartphones represent a category of devices that cater to the demands of professionals in diverse industries, offering a balance between consumer-grade features and rugged durability. These devices are engineered to endure harsh conditions and rough handling, without sacrificing the advanced functionalities of standard smartphones. Semi-rugged smartphones incorporate several enhanced features. For instance, they may include data encryption for heightened security, external antennas for improved connectivity, and image stabilization for superior photography. Military applications benefit from their ruggedness and GPS tracking capabilities, while field service management relies on their durability and touchscreen technology. Semi-rugged smartphones boast IP68 ratings for water resistance and shock resistance, ensuring they can withstand drops and extreme temperatures. They may also feature sapphire glass for unparalleled screen protection and Gorilla Glass for scratch resistance. Facial recognition and fingerprint sensors provide biometric security, while thermal management maintains optimal performance. Additional features include long battery life, extensive storage capacity, wireless charging, and compatibility

This data base shows the responses of medical students from 7 countries of Latin America, about academic use of smartphones.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Data about computer and Internet use were collected by asking respondents to select "Yes" or "No" to each type of computer and each type of Internet subscription. Therefore, respondents were able to select more than one type of computer and more than one type of Internet subscription..The category "Has one or more types of computing devices" refers to those who said "Yes" to at least one of the following types of computers: Desktop or laptop; smartphone; tablet or other portable wireless computer; or some other type of computer. The category "No computer" consists of those who said "No" to all of these types of computers.."Desktop or laptop" refers to those who selected that category regardless of whether or not they indicated they also had another type of computer. However, "Desktop or laptop with no other type of computing device" refers to those who said "Yes" to owning or using a desktop or laptop and "No" to smartphone, tablet or other wireless computer, and other computer. Similarly, the same holds true for "Smartphone" compared to "Smartphone with no other type of computing device", "Tablet or other portable wireless computer" compared to "Tablet or other portable wireless computer with no other type of computing device", and "Other computer" compared to "Other computer with no other type of computing device.".Caution should be used when comparing data for computer and Internet use before and after 2016. Changes in 2016 to the questions involving the wording as well as the response options resulted in changed response patterns in the data. Most noticeable are increases in overall computer ownership or use, the total of Internet subscriptions, satellite subscriptions, and cellular data plans for a smartphone or other mobile device. For more detailed information about these changes, see the 2016 American Community Survey Content Test Report for Computer and Internet Use located at https://www.census.gov/library/working-papers/2017/acs/2017_Lewis_01.html or the user note regarding changes in the 2016 questions located at https://www.census.gov/programs-surveys/acs/technical-documentation/user-notes/2017-03.html..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed becau...

Between 2015 and 2021, regardless of their age, the share of children owning a smartphone in the United States grew. During the 2021 survey, it was found that ** percent of responding 8-year-olds owned a smartphone, up from only ** percent in 2015.

Apple is one of the most influential and recognisable brands in the world, responsible for the rise of the smartphone with the iPhone. Valued at over $2 trillion in 2021, it is also the most valuable...

According to Cognitive Market Research, The Global NFC enabled Handsets market will grow at a compound annual growth rate (CAGR) of 20.50% from 2023 to 2030.

The demand for NFC enabled handsets is rising due to increasing demand for mobile payments.
Demand for feature phones remains higher in the NFC enabled handsets market.
The mobile payment category held the highest NFC enabled handsets market revenue share in 2023.
North America will continue to lead, whereas the Asia Pacific NFC enabled handsets market will experience the most robust growth until 2030.

Increasing Demand for Mobile Payments to Drive Market Growth

Mobile payments using NFC enabled handsets offer a faster and more convenient alternative to traditional payment methods. Users can complete transactions with a simple tap, reducing the time spent at the checkout. The increasing penetration of smartphones, including NFC enabled handsets, provides a larger user base for mobile payment solutions. As more people own smartphones, the potential for mobile payments grows.

Smartphone shipments from India reached 168 million units in 2021, and it is anticipated that they will reach 190 million units in 2022.

(Source: www.ibef.org/industry/electronics-system-design-manufacturing-esdm)

Mobile wallet applications like Apple Pay, Google Pay, and Samsung Pay have gained traction. These wallets rely on NFC technology and have become increasingly integrated into daily routines. Mobile payments extend beyond physical retail stores. Users can make online and in-app purchases using their NFC enabled handsets, broadening the scope of mobile payment applications.

Growing Adoption of Wearable Technology to Drive Market Growth

Wearable devices, especially smartwatches, are increasingly used for mobile ticketing applications. Users can store electronic tickets for public transportation, events, or flights on their wearables, simplifying ticketing. Some banks and financial institutions offer apps that are compatible with wearable devices. Users can check their account balances, receive transaction alerts, and even make mobile payments using NFC enabled wearables.

Exports of electronic goods increased by 50.52% from US$ 15.66 billion in FY22 to US$ 23.57 billion in FY23, a record high.

(Source: www.ibef.org/industry/electronics-system-design-manufacturing-esdm)

NFC enabled wearables are used for health and fitness applications. Users can tap their devices to collect data from fitness equipment, make payments for health services, or even access their medical records securely.

Market Dynamics Of the NFC enabled Handsets

Lack of Awareness and Education to Hinder Market Growth

The lack of education about the various applications of NFC technology can result in a limited understanding of its potential use cases beyond mobile payments. This can hinder the development of new NFC-based services. The lack of awareness about NFC security features can lead to unfounded concerns and reluctance to use NFC enabled handsets for secure transactions. Some individuals and businesses may perceive NFC technology as too complex or difficult to implement. This can discourage exploration and adoption.

Key Trends of the NFC enabled Handsets

The Rapid Increase in the Use of Contactless Payments and Digital Wallets

With the worldwide growth of mobile payment systems such as Google Pay, Apple Pay, and Samsung Pay, there is a significant demand for NFC-enabled smartphones. Consumers are favoring fast, secure, and touchless transactions, particularly in the aftermath of the pandemic, which has led to a rise in the incorporation of NFC chips in mid-range and entry-level devices across various markets.

Integration with IoT and Smart Ecosystems

NFC-enabled smartphones are being utilized increasingly for purposes beyond payments, including pairing with smart devices, access control, ticketing, and identity verification. As smart home technologies, wearables, and interconnected infrastructure expand, NFC devices act as a central hub, enhancing their importance in everyday digital interactions.

Impact of COVID-19 on the NFC enabled handsets market

COVID-19, both positive and negative, significantly impacted the market for NFC enabled smartphones. The pandemic accelerated the adoption of contactless payment methods due to concerns about the transmission of the virus through ...

Smartphone Operating System Market Outlook

The global smartphone operating system market size was valued at approximately USD 120 billion in 2023 and is projected to reach around USD 210 billion by 2032, reflecting a compound annual growth rate (CAGR) of 6.5% during the forecast period. The market's growth is propelled by the increasing penetration of smartphones across emerging markets, technological advancements, and the rising demand for enhanced user experiences. As mobile devices become indispensable in daily life, the demand for robust and efficient operating systems continues to surge, driving significant market expansion.

One of the primary growth factors for the smartphone operating system market is the rapid adoption of smartphones in developing economies. With increasing access to affordable smartphones, the number of mobile users has been growing exponentially in regions such as Asia Pacific and Africa. This surge in smartphone adoption is creating a substantial demand for advanced operating systems that offer seamless user experiences, security features, and compatibility with a myriad of applications. Moreover, as internet penetration continues to rise, more consumers are relying on their smartphones for various online activities, further driving the need for efficient and reliable operating systems.

The continuous evolution of technology and the integration of artificial intelligence (AI) and machine learning (ML) capabilities into smartphone operating systems are also significant growth drivers. Modern operating systems are incorporating AI to enhance user experiences by providing personalized services, improving device performance, and enabling sophisticated functionalities such as voice recognition and predictive text. These advancements are attracting tech-savvy consumers and enterprises alike, who are looking for cutting-edge technology in their mobile devices. Furthermore, the development of 5G networks is expected to revolutionize mobile connectivity, paving the way for more advanced operating system features and applications, thus fueling market growth.

Another critical factor contributing to the growth of the smartphone operating system market is the increasing focus on data privacy and security. With the proliferation of mobile internet use, concerns regarding data breaches and privacy have escalated, prompting consumers to seek operating systems that offer robust security measures. Companies are investing heavily in enhancing the security features of their operating systems to protect user data and build consumer trust. This emphasis on security is becoming a key differentiator for operating systems, influencing consumer and enterprise purchasing decisions and driving market growth.

As the smartphone operating system market continues to evolve, the role of Internet of Things (IoT) Operating Systems is becoming increasingly significant. IoT Operating Systems are designed to manage the complex interactions between various connected devices, ensuring seamless communication and data exchange. These systems are crucial in enabling smart environments, where devices such as home appliances, vehicles, and wearables can interact with each other and with smartphones. The integration of IoT Operating Systems into smartphones not only enhances the functionality of mobile devices but also opens up new possibilities for innovative applications and services. As the IoT ecosystem expands, the demand for operating systems that can efficiently manage these interconnected networks is expected to rise, further driving growth in the smartphone operating system market.

Regionally, the Asia Pacific is expected to dominate the smartphone operating system market during the forecast period, owing to its large population base and rapid technological advancements. Countries like China and India are witnessing an unprecedented surge in smartphone users due to increasing disposable incomes and government initiatives to promote digitalization. North America and Europe, with their early adoption of technological innovations and high smartphone penetration rates, continue to be significant markets for smartphone operating systems. Meanwhile, Latin America and the Middle East & Africa are emerging as potential growth markets due to improving economic conditions and expanding telecommunication infrastructure.

Type Analysis

The smartphone operating system market is segmented by type into Android, iOS, Windows, and others. Andro

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Data about computer and Internet use were collected by asking respondents to select "Yes" or "No" to each type of computer and each type of Internet subscription. Therefore, respondents were able to select more than one type of computer and more than one type of Internet subscription..The category "Has one or more types of computing devices" refers to those who said "Yes" to at least one of the following types of computers: Desktop or laptop; smartphone; tablet or other portable wireless computer; or some other type of computer. The category "No computer" consists of those who said "No" to all of these types of computers.."Desktop or laptop" refers to those who selected that category regardless of whether or not they indicated they also had another type of computer. However, "Desktop or laptop with no other type of computing device" refers to those who said "Yes" to owning or using a desktop or laptop and "No" to smartphone, tablet or other wireless computer, and other computer. Similarly, the same holds true for "Smartphone" compared to "Smartphone with no other type of computing device", "Tablet or other portable wireless computer" compared to "Tablet or other portable wireless computer with no other type of computing device", and "Other computer" compared to "Other computer with no other type of computing device.".Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient n...

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.