In 2021, mobile users in the United States sent roughly 2 trillion SMS or MMS messages. Following a sharp drop off in 2012, the number of SMS and MMS messages sent in the U.S. has generally increased over the past several years to another peak in 2020, during the COVID pandemic, at 2.2 trillion SMS or MMS messages.

This statistic shows how many text messages people sent per day on average in Sweden in 2018. According to the survey, the majority of the respondents (** percent) sent between zero and five text messages per day. ** percent send between six and ten text messages per day. Nine percent of the respondents sent more than ** text messages per day.

Overview: The QuitNowTXT text messaging program is designed as a resource that can be adapted to specific contexts including those outside the United States and in languages other than English. Based on evidence-based practices, this program is a smoking cessation intervention for smokers who are ready to quit smoking. Although evidence supports the use of text messaging as a platform to deliver cessation interventions, it is expected that the maximum effect of the program will be demonstrated when it is integrated into other elements of a national tobacco control strategy. The QuitNowTXT program is designed to deliver tips, motivation, encouragement and fact-based information via unidirectional and interactive bidirectional message formats. The core of the program consists of messages sent to the user based on a scheduled quit day identified by the user. Messages are sent for up to four weeks pre-quit date and up to six weeks post quit date. Messages assessing mood, craving, and smoking status are also sent at various intervals, and the user receives messages back based on the response they have submitted. In addition, users can request assistance in dealing with craving, stress/mood, and responding to slips/relapses by texting specific key words to the QuitNow. Rotating automated messages are then returned to the user based on the keyword. Details of the program are provided below. Texting STOP to the service discontinues further texts being sent. This option is provided every few messages as required by the United States cell phone providers. It is not an option to remove this feature if the program is used within the US. If a web-based registration is used, it is suggested that users provide demographic information such as age, sex, and smoking frequency (daily or almost every day, most days, only a few days a week, only on weekends, a few times a month or less) in addition to their mobile phone number and quit date. This information will be useful for assessing the reach of the program, as well as identifying possible need to develop libraries to specific groups. The use of only a mobile phone-based registration system reduces barriers for participant entry into the program but limits the collection of additional data. At bare minimum, quit date must be collected. At sign up, participants will have the option to choose a quit date up to one month out. Text messages will start up to 14 days before their specified quit date. Users also have the option of changing their quit date at any time if desired. The program can also be modified to provide texts to users who have already quit within the last month. One possible adaptation of the program is to include a QuitNowTXT "light" version. This adaptation would allow individuals who do not have unlimited text messaging capabilities but would still like to receive support to participate by controlling the number of messages they receive. In the light program, users can text any of the programmed keywords without fully opting in to the program. Program Design: The program is designed as a 14-day countdown to quit date, with subsequent six weeks of daily messages. Each day within the program is identified as either a pre-quit date (Q- # days) or a post-quit date (Q+#). If a user opts into the program fewer than 14 days before their quit date, the system will begin sending messages on that day. For example, if they opt in four days prior to their quit date, the system will send a welcome message and recognize that they are at Q-4 (or four days before their quit date), and they will receive the message that everyone else receives four days before their quit date. As the user progresses throughout the program, they will receive messages outlined in the text message library. Throughout the program, users will receive texts that cover a variety of content areas including tips, informational content, motivational messaging, and keyword responses. The frequency of messages incre

This statistic shows mobile messaging volumes in the U.S. for selected years between 2004 and 2014. In 2010, approximately ***** billion messages were sent in total, up from ** billion in 2004.

U.S. mobile messaging volumes - additional information

A total of around *** trillion text messages were sent in the United States in 2012, marking an almost tenfold increase on the figure from 2006. A further ** million MMS messages were sent in the country in 2012, an increase from * million in 2006. In 2013, the United States was the country with the highest average number of text messages sent per month and per mobile connection. Over *** messages were sent monthly per mobile connection in the United States, in comparison to *** in the United Kingdom and *** in Germany.

The most active age group for sending and receiving text messages in the United States were those aged 18 to 29, as ** percent of respondents said that they did use mobile messaging in 2013. By comparison, only ** percent of those aged 65 and older said that they used their mobile phone for text messaging in 2013.

Rather than using a mobile phone’s integrated text messaging service, many users are opting for third party apps to communicate. As of January 2015, mobile messaging service WhatsApp had around 700 million monthly active users, marking double the amount of users it had in October 2013. Within the U.S. market, iOS and Android users spent a total of 680 million minutes on WhatsApp in February 2013, with those aged between 25 and 34 years most likely to use the service in 2014.

Text Message Market Outlook

The global text message market size was valued at approximately USD 62 billion in 2023, and it is projected to reach around USD 120 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 7.2% during the forecast period. The growth of this market is primarily driven by the increasing adoption of mobile communication technologies and the growing emphasis on direct and personalized customer engagement.

One of the key growth factors in the text message market is the widespread adoption of smartphones and mobile devices. The proliferation of mobile devices has led to an exponential increase in the number of text messages sent and received daily. This trend is further fueled by advancements in mobile network technologies, such as 4G and 5G, which facilitate faster and more reliable communication. Moreover, the penetration of mobile devices in emerging markets is opening new avenues for text messaging services, thereby driving market growth.

Another critical factor contributing to the growth of the text message market is the increasing emphasis on customer engagement and personalized communication. Businesses across various industries are leveraging text messaging as a cost-effective and efficient tool to engage with their customers. Text messages have a high open rate compared to emails, making them an effective medium for marketing campaigns, customer service, and notifications. The ability to deliver timely and relevant information directly to customers' mobile devices enhances customer satisfaction and loyalty, thereby boosting the demand for text messaging services.

The integration of text messaging with other digital communication channels is also playing a significant role in market growth. Companies are increasingly adopting omnichannel communication strategies to provide a seamless and cohesive customer experience. Text messaging, when integrated with other channels such as email, social media, and chatbots, allows businesses to reach their customers through their preferred medium. This integration enhances the overall effectiveness of communication strategies, driving the adoption of text messaging services across various industries.

Regionally, North America holds a significant share of the text message market owing to the high penetration of mobile devices and advanced mobile network infrastructure. The presence of major technology companies and a strong emphasis on customer-centric communication also contribute to the market's growth in this region. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by the increasing adoption of smartphones, improving mobile network infrastructure, and the growing importance of digital communication in countries such as China and India.

Type Analysis

The text message market can be segmented by type into SMS (Short Message Service), MMS (Multimedia Messaging Service), and RCS (Rich Communication Services). SMS remains the most widely used form of text messaging due to its simplicity, reliability, and universal compatibility across all mobile networks and devices. Despite the emergence of more advanced messaging services, SMS continues to be a preferred choice for businesses and consumers alike. Its low cost and ease of use make it an ideal tool for sending quick updates, notifications, and marketing messages. The widespread adoption of SMS for customer engagement and authentication purposes further underscores its significance in the text message market.

MMS, on the other hand, allows users to send multimedia content such as images, videos, and audio files along with text messages. While MMS offers a richer and more interactive communication experience compared to SMS, its adoption has been limited due to higher costs and compatibility issues with some mobile devices and networks. However, in sectors such as media and entertainment, and retail, where visual content plays a crucial role in marketing and customer engagement, MMS is gaining traction. Businesses are leveraging MMS to deliver visually appealing promotional content, enhancing the overall customer experience.

RCS is an advanced messaging protocol that aims to replace SMS and MMS by offering enhanced features such as group chats, file sharing, and high-resolution images and videos. RCS provides a more interactive and engaging communication experience, similar to that offered by popular messaging apps like WhatsApp and Facebook Messenger. The adoption of RCS is being driven by its ability to offer a richer messagi

This statistic shows the amount of text messages (SMS) sent by smartphone owners per day on average in the United Kingdom (UK) in 2013. In 2013, 43 percent of UK smartphone owners sent one to ten text messages per day.

This provides data on the Osan City text message sending system, including department name, number of single text messages, number of long text messages, number of multiple text messages, and department creation date. - 2,000 single text messages, 2,000 long text messages, and 100 multiple text messages are provided by default. ※ The number of text messages can be changed if requested by the department. - The department creation date is a data value created by synchronizing data from other systems every day at 1:00 AM. - For department deletion data, if the department has been deleted from the current text message sending system, it is displayed as Y, and if it has not been deleted, it is displayed as N. - If you have any other inquiries, please leave an inquiry via the person in charge's phone number and email and we will respond.

In Portugal, the number of SMS sent decreased from almost **** billion, in 2021, to **** billion, in 2022, a number that represents an average of approximately *** SMS sent daily, per mobile phone with effective use. This decreasing trend has been registered since 2020 when the number of SMS sent lowered from ** billion registered in 2019 to ** billion, and it continued during the year 2023, when *** billion SMS were sent. The highest drop was registered in 2024, when the number of SMS sent equaled *** million.

The number of text messages sent from mobile phones in New Zealand in the 2023 financial year totaled *** billion. The number of texts sent has decreased steadily since 2013, possibly due to consumers opting to send messages via online channels.

The majority of mobile phone users in the United Kingdom (UK) sent text messages several times a day, according to a survey that the Ofcom conducted in 2019. In total, ** percent of respondents sent text messages on a daily basis, while **** percent never send such messages.

Volume of SMS and MMS messages declining

The volume of SMS and MMS messages sent over a carrier network has declined significantly over the past several years. In 2012, each mobile subscriber was sending an average of *** SMS and MMS messages. By 2017, this figure fell to just ** messages. In terms of the sheer volume of messages sent, this translates to a fall from ****** billion messages over the entirety of 2012, to just ***** billion messages in 2017. Post-pay customers send the most messages, with ***** billion messages in 2017.

The rise of messenger apps

The fall in the volume of messages sent over carrier networks comes as messaging apps have emerged as one of the most popular app categories. Whatsapp was downloaded to iPhones in Great Britain ******* times during January 2019 alone, and to android devices more than *********** times in March 2019. Facebook messenger was also download hundreds of thousands of times to iPhones and android devices in Great Britain during each month in 2019.

Kik users send over 5 million text messages to each other every day.

The number of outgoing SMS and MMS messages sent in the United Kingdom (UK) has fallen significantly over the past decade, from a peak of over *** billion in 2012 to around ** billion in 2023. The decline in SMS use in the UK has been driven by the broad adoption of alternative messaging services such as WhatsApp.

ZindagiSMS_systemresponsedata.dta: this file has data from the Zindagi SMS system about the response frequency of participants who were randomized into the system to the daily SMS messages that they received.

As of the fourth quarter of 2023, on average ** text messages (SMS) were sent per GSM mobile subscriber across India. In comparison to the first quarter of 2017, the number of text messages sent in the fourth quarter of 2023 was less. There was a decreasing trend over the observed period.

Objective: To assess the intervention fidelity and explore contextual factors affecting the process of a mobile phone text messaging intervention in improving adherence to and retention in care among adolescents living with HIV, their families, and their healthcare providers in southern Ethiopia. Design: A convergent mixed-methods design guided by the process evaluation theoretical framework and the RE-AIM framework was used alongside a randomised controlled trial to examine the fidelity and explore the experiences of participants in the intervention. Setting: Six hospitals and five health centres providing HIV treatment and care to adolescents in five zones in southern Ethiopia. Participants: adolescents (aged 10–19), their families and their healthcare providers. Intervention: Mobile phone text messages daily for 6 months or standard care (control). Results: 306 participants were enrolled in the process evaluation. Among the intervention participants (N =153), 171 (55.9%) of whom were men, most resided in an urban area 225 (73.5%), and participants had a mean age of 15 (2.62). The overall experiences of implementing the text messages reminder intervention were described as helpful in terms of treatment support for adherence but had room for improvement. During the study, 30,700 text messages were sent, and fidelity was high, with 99.4% successfully receiving text messages during the intervention. Barriers such as failed text messages delivery, limitations in phone ownership, and technical limitations affected fidelity. Technical challenges can hinder maintenance, but a belief in the future of digital communication permeates the experiences of the text messages reminders. Conclusions: Overall fidelity was high, and participants’ overall experiences of mobile phone text messages were expressed as helpful. Contextual factors, such as local telecommunications networks and local electric power, as well as technical and individual factors must be considered when planning future interventions.

IntroductionActivity-monitoring devices may increase activity, but their effectiveness in sedentary, diseased, and less-motivated populations is unknown.MethodsSubjects with diabetes or pre-diabetes were given a Fitbit and randomized into three groups: Fitbit only, Fitbit with reminders, and Fitbit with both reminders and goal setting. Subjects in the reminders group were sent text-message reminders to wear their Fitbit. The goal-setting group was sent a daily text message asking for a step goal. All subjects had three in-person visits (baseline, 3 and 6 months). We modelled daily steps and goal setting using linear mixed-effects models.Results138 subjects participated with 48 in the Fitbit-only, 44 in the reminders, and 46 in the goal-setting groups. Daily steps decreased for all groups during the study. Average daily steps were 7123, 6906, and 6854 for the Fitbit-only, the goal-setting, and the reminders groups, respectively. The reminders group was 17.2 percentage points more likely to wear their Fitbit than the Fitbit-only group. Setting a goal was associated with a significant increase of 791 daily steps, but setting more goals did not lead to step increases.ConclusionIn a population of patients with diabetes or pre-diabetes, individualized reminders to wear their Fitbit and elicit personal step goals did not lead to increases in daily steps, although daily steps were higher on days when goals were set. Our intervention improved engagement and data collection, important goals for activity surveillance. This study demonstrates that new, more-effective interventions for increasing activity in patients with pre-diabetes and diabetes are needed.

Texting App Market Outlook

In 2023, the global texting app market size was valued at USD 50 billion and is projected to reach USD 110 billion by 2032, growing at a CAGR of 9%. The growth of this market is primarily driven by the increasing reliance on digital communication platforms, fueled by rising smartphone penetration and internet connectivity improvements worldwide. As businesses and individuals continue to seek efficient and cost-effective communication solutions, the demand for texting apps is witnessing unprecedented growth.

One of the key growth factors for the texting app market is the surge in smartphone adoption globally. As smartphones become more affordable and accessible, particularly in emerging markets, the number of users relying on texting apps for daily communication is set to rise dramatically. Additionally, advancements in mobile technology, such as improved battery life and enhanced processing power, make it easier for users to stay connected throughout the day, further driving the adoption of texting apps.

Another significant growth driver is the increasing integration of texting apps with other digital services. Modern texting apps are no longer limited to simple text messages; they now offer multimedia sharing, voice and video calls, and even integration with social media platforms. These added functionalities make texting apps indispensable tools for both personal and professional communication. Moreover, the rise of remote work and virtual teams has made texting apps essential for real-time collaboration and information sharing, contributing to their growing popularity.

The business use of texting apps is also a crucial factor in market expansion. Enterprises are increasingly adopting texting apps to facilitate internal communication, customer service, and marketing efforts. These apps offer a cost-effective alternative to traditional communication methods, allowing businesses to reach their audience quickly and efficiently. Furthermore, features such as end-to-end encryption and data security measures make texting apps a reliable option for sensitive business communications.

Regionally, the texting app market is experiencing varied growth patterns. North America and Europe, being technologically advanced regions with high smartphone penetration, continue to dominate the market. However, the Asia Pacific region is emerging as a significant growth area due to its large population, rapid urbanization, and increasing internet penetration. Countries like India and China are witnessing a surge in texting app usage, making the region a focal point for market players aiming to expand their footprint.

In the context of the Asia Pacific region's burgeoning market, understanding Taiwan Mobile App Users Behavior provides valuable insights into consumer preferences and usage patterns. Taiwan, with its high smartphone penetration and tech-savvy population, serves as a microcosm of broader regional trends. Users in Taiwan are known for their preference for multifunctional apps that offer seamless integration with social media and e-commerce platforms. This behavior reflects a growing demand for apps that provide not just communication, but also a comprehensive digital lifestyle experience. By analyzing these patterns, developers can tailor their offerings to better meet the needs of users in Taiwan and similar markets, driving further growth in the texting app sector.

Operating System Analysis

The texting app market is segmented by operating systems, including iOS, Android, Windows, and others. The Android segment holds the largest market share, driven by the widespread use of Android smartphones globally. The affordability and variety of Android devices make them accessible to a broad range of consumers, particularly in emerging markets. This extensive user base creates a significant demand for Android-compatible texting apps, contributing to the segment's dominance.

iOS, while having a smaller market share compared to Android, remains a crucial segment due to its strong presence in developed markets like North America and Europe. Users of iOS devices are typically more willing to spend on premium apps and services, providing lucrative opportunities for developers. The seamless integration of iOS texting apps with other Apple services, such as iMessage, enhances user experience, fostering brand loyalty and continuous use.

The

In Spring 2020, the University of California San Diego New Vistas Project initiated an Experience Sample Method text-message based study to better understand how parents and children were spending their time during COVID-19 mandated stay at home orders and California state school closures. All primary caregivers participating in an existing longitudinal study were invited to participate in a text message ESM protocol over two different weeks during Spring 2020. The first time point (Early Spring 2020) began 3 weeks after the district launched its Virtual Learning Platform via Google Classroom and the second time point occurred four weeks later (Late Spring 2020), in the second to last week of school. ESM procedures were explained to each participant prior to being enrolled in the anonymous texting program. Each time point consisted of participants receiving five text messages sent randomly throughout the day from 7:30am to 9pm for five consecutive days. In order to capture variation in the participants’ lives, the first time point occurred from Sunday through Thursday and the second time point ran from Tuesday through Saturday. Each text message included a link to a Qualtrics survey that participants completed in approximately five minutes. Participants were asked to complete the survey as close to when they received the text message and were informed the survey link would expire after one hour.

IntroductionTo capitalise on mHealth, we need to understand the use of mobile phones both in daily life and for health care.ObjectiveTo assess the prevalence and factors that influence usage of mobile phones by caregivers of young children.Materials and MethodsA mixed methods approach was used, whereby a survey (N=1854) and semi-structured interviews (N=17) were conducted concurrently. The quantitative and qualitative data obtained were compared and integrated. Participants were caregivers of young children in Zhao County, Hebei Province, China.ResultsFour main themes were found: (i) trends in mobile phone ownership; (ii) usage of mobile phone functions; (iii) factors influencing replying to text messages; and (iv) uses of mobile phones for health care. The majority of 1,854 survey participants (1,620; 87.4%) used mobile phones, but usage was much higher among mothers (1,433; 92.6%) and fathers (41; 100.0%) compared to grandparents (142; 54.6%). Parents were able to send text messages, grandparents often not. Factors influencing the decision to reply to text messages in daily life were checking the mobile phone, trusting the sender, emotion or feeling when receiving a text message, the importance of replying and ease of use of text messages. Of 1,620 survey participants who used a mobile phone, about one in four (432; 26.7%) had used it for health care in the past three months and most (1,110; 93.5%) of 1,187 who had not wished to use their phone to receive health information.ConclusionWe found that usage of mobile phones is high, several factors influencing usage and an interest of caregivers to use phones for health care in Zhao County, rural China, which can be used to inform studies in settings with similar characteristics. Future work needs to assess factors influencing mobile phone usage in-depth to optimize experiences of users for specific mHealth-based interventions.

Documentation

Guide to datasets:

Full Project Name: Monitoring Patient Compliance with Tuberculosis Treatment Regimens

PIs: Rachel Glennerster, Aamir Khan, Shama Mohammed

Unique Study ID: 10004

Location: Karachi, Pakistan

Sample: 2200 people

Timeline: 2011 to 2014

Outcome of Interest: Communicable diseases, Social service delivery, Tuberculosis

Intervention Type: Commitment devices, Digital and mobile, Health care delivery

Associated publications: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0162944

More information: https://www.povertyactionlab.org/evaluation/monitoring-patient-compliance-tuberculosis-treatment-regimes-pakistan

Dataverse: Mohammed, Shama; Glennerster, Rachel; Khan, Aamir J., 2016, “Monitoring Patient Compliance with Tuberuclosis Treatment Regimens”, https://doi.org/10.7910/DVN/HVJ2CM, Harvard Dataverse, V1.

Section 2

Description and codebook for subset of harmonized variables:

Section 3

Survey instruments:

Codebook:

Section 4

No associated survey instrument

Codebook:

Section 5

Survey instruments:

Codebook:

Section 6

This dataset was created on 2021-10-06 20:38:39.890 by merging multiple datasets together. The source datasets for this version were:

Zindagi SMS Basic Information and Self-Reported Outcomes: ZindagiSMS_txoutcomesandbaselinedata : This file incudes data with basic demographic information on each of the participants from both the basic information form and the baseline survey, whether they were randomized to receive Zindagi SMS or to the control group, the treatment outcomes recorded for them in the clinic register, and self-reported outcomes that were determined based on the default questionnaire that was administered on participants who had been reported as having defaulted or transferred out of treatment. A detailed explanation on the self-reported outcomes can be found in our paper entitled “Impact of a daily SMS medication reminder system on tuberculosis treatment outcomes: a randomized controlled trial.”

Zindagi SMS Response Data: ZindagiSMS_systemresponsedata.dta: this file has data from the Zindagi SMS system about the response frequency of participants who were randomized into the system to the daily SMS messages that they received.

Zindagi SMS Secondary Outcomes: ZindagiSMS_secondaryoutcomedata: this file has data from the baseline, midline, and endline asking about the participants treatment and health. The majority of these questions were repeated at multiple interactions with the participant.