To rapidly monitor recent changes in the use of telemedicine, the National Center for Health Statistics (NCHS) and the Health Resources and Services Administration’s Maternal and Child Health Bureau (HRSA MCHB) partnered with the Census Bureau on an experimental data system called the Household Pulse Survey. This 20-minute online survey was designed to complement the ability of the federal statistical system to rapidly respond and provide relevant information about the impact of the coronavirus pandemic in the U.S. The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of the COVID-19 pandemic on American households. The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness. The survey was designed to meet the goal of accurate and timely estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.

The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of telemedicine access and use for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included questions about whether providers offered telemedicine (including video and telephone appointments) in the last 2 months—both during and before the pandemic—and about the use of telemedicine in the last 2 months during the pandemic. As a result of the coronavirus pandemic, many local and state governments discouraged people from leaving their homes for nonessential reasons. Although health care is considered an essential activity, telemedicine offers an opportunity for care without the potential or perceived risks of leaving the home. The National Health Interview Survey, conducted by NCHS, added telemedicine questions to its sample adult questionnaire in July 2020. The Household Pulse Survey (https://www.cdc.gov/nchs/covid19/pulse/telemedicine-use.htm), an online survey conducted in response to the COVID-19 pandemic by the Census Bureau in partnership with other federal agencies including NCHS, also reports estimates of telemedicine use during the pandemic (beginning in Phase 3.1, which started on April 14, 2021). The Household Pulse Survey reports telemedicine use in the last 4 weeks among adults and among households with at least one child under age 18 years. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who have a usual place of care and a provider that offered telemedicine in the past 2 months, who used telemedicine in the past 2 months, or who have a usual place of care and a provider that offered telemedicine prior to the coronavirus pandemic. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/telemedicine.htm#limitations

This statistic shows the number of telehealth visits in the U.S. from 2013 to 2017, and provides a forecast from 2018 to 2022 (low to high estimates). In 2013, the total number of telehealth visits reached some 22 million.

In 2022, ** percent of surveyed American adults reported using telemedicine through a live video call with their healthcare provider, this was a significant increase from the preceding years. In 2022, all modes of telemedicine went through an increase in use compared with 2021.

Overview

Remote Patient Monitoring Statistics: Remote patient monitoring (RPM) refers to using technology to collect health data from individuals outside traditional healthcare settings and transmit this data back to healthcare providers for analysis and monitoring.

RPM allows healthcare professionals to track patients' conditions remotely, monitor vital signs, and manage chronic illnesses without frequent in-person visits.

Remote patient monitoring statistics will help you to show how technological advancements are emerging in the healthcare sector.

In 2023, ** percent of physicians surveyed in the United States utilized telemedicine on a weekly basis. As health care becomes more digital, practitioners from all professions are incorporating telemedicine into their practices. *********** physicians reported they used telemedicine daily.

Electronic health record data from 203 community health centers across 13 states between 01/01/2019-6/31/2021 to describe trends in telemedicine visit rates over time. Qualitative data were collected from 13 of those community health centers to understand factors influencing adoption and implementation of telemedicine.

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Telemedicine Market Size 2025-2029

The telemedicine market size is forecast to increase by USD 159.4 billion, at a CAGR of 17.5% between 2024 and 2029. Increasing incidence of chronic diseases will drive the telemedicine market.

Major Market Trends & Insights

North America dominated the market and accounted for a 39% growth during the forecast period.
By Application - Telehospital and teleclinic segment was valued at USD 43.10 billion in 2023
By Product - Services segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 363.12 billion
Market Future Opportunities: USD 159.40 billion 
CAGR : 17.5%
North America: Largest market in 2023

Market Summary

The market is experiencing significant growth and transformation, driven by the increasing incidence of chronic diseases and the integration of artificial intelligence (AI) technology. Telemedicine, a digital health solution that enables remote clinical services, is becoming an essential component of modern healthcare systems. According to recent studies, the market is projected to expand at a robust pace, with teleconsultation and remote monitoring services witnessing high demand. Core technologies, such as AI, machine learning, and the Internet of Things (IoT), are revolutionizing telemedicine applications. These technologies enable real-time patient monitoring, automated diagnosis, and personalized treatment plans, enhancing patient care and outcomes.
However, challenges persist, including data security and privacy concerns, which must be addressed to ensure the safe and effective implementation of telemedicine services. Key companies, including Teladoc Health, American Well, and Amwell, are leading the market with innovative solutions. As the telemedicine landscape continues to evolve, it's essential to stay informed about the latest trends and developments.

What will be the Size of the Telemedicine Market during the forecast period?

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How is the Telemedicine Market Segmented and what are the key trends of market segmentation?

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

Application

  Telehospital and teleclinic
  Telehome


Product

  Services
  Solutions


Type

  Real time
  Store and forward
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Application Insights

The telehospital and teleclinic segment is estimated to witness significant growth during the forecast period.

The market growth is driven by the integration of advanced technologies such as patient education materials, medical device integration, and patient engagement strategies. Telehealth platforms and remote diagnostics enable healthcare providers to offer consultations and treatments remotely, addressing the needs of patients in underserved areas. The market is further propelled by the adoption of data analytics dashboards, clinical decision support systems, and remote patient monitoring, which facilitate proactive healthcare management and improved patient outcomes. Moreover, the market is witnessing significant advancements in tele-surgery robots, digital therapeutics, and chronic disease management solutions. Tele-icu monitoring, remote rehabilitation, and telepharmacy services are also gaining traction, enhancing the overall efficiency and accessibility of healthcare services.

Telehealth platforms and wearable health sensors are revolutionizing home healthcare monitoring, while secure video conferencing and predictive analytics models are transforming mental health teletherapy and virtual consultations. The market's continuous evolution is evident in the emergence of physician communication tools, mhealth applications, and electronic health records. AI-powered diagnostics and interoperability standards are streamlining data exchange and ensuring seamless integration across various healthcare systems. Data encryption protocols and health information exchange are prioritized to maintain data security and privacy. According to recent reports, the market is currently experiencing a 20% increase in adoption, with future industry growth expected to reach 25% in the coming years.

These figures underscore the market's potential and the significant role it plays in shaping the future of healthcare delivery.

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The Telehospital and teleclinic segment was valued at USD 43.10 billion in 2019 and showed a gradual increase during the forecast period.

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Regional Analysis

North

The COVID-19 health pandemic acted as a punctuated event that spurred rapid change in healthcare delivery, pushing us to adopt new socio-cultural norms and ways of communicating. The pandemic also altered several long-standing structures within healthcare organizations. To better understand peoples’ perceptions of how the pandemic shifted technological structures within healthcare, this study examines a telemedicine (TM) Reddit forum. Analyzing language use on Reddit offered a bottom-up means of examining the public’s feelings, understandings, and conceptualizations of TM. Studying language use provides rich insight into how people experience and make sense of the world around them. We specifically examined three time periods: (1): prior to the COVID-19 outbreak, (2), the two years at the center of the outbreak, wherein TM coverage increased—high-risk COVID, and (3) the point at which COVID-19 community risk levels largely diminished —low-risk COVID. Using LIWC, we studied around 1500 conversations posted in the TM forum from 2015 to 2022. Results reveal how people’s language use and emotions surrounding TM meaningfully shifted over-time, along with the pandemic stages. Specifically, negative emotion language significantly increased and positive emotion language significantly decreased during Time 3—low-risk COVID. Use of body and health words increased throughout the time periods, and there were no significantly differences in cognitive processing words use—which were used very frequently across all time periods. Theoretical and practical implications are offered.

Between April 2020 and March 2021, approximately ** percent of the Spanish population had a received medical consultation from a doctor online or by phone due to the pandemic, the highest share across all European Union countries. Slovenia ranked second on the list with ** percent of people in the country receiving a telemedicine consultation, followed by Poland at ** percent.

This data set includes monthly counts and rates (per 1,000 beneficiaries) of services provided via telehealth, including live audio video, remote patient monitoring, store and forward, and other telehealth, to Medicaid and CHIP beneficiaries, by state.

These metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating telehealth services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Claims Volume - OT, Procedure Codes - OT Professional. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data.

Some cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.

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Artificial Intelligence In Telemedicine Market Size 2025-2029

The artificial intelligence in telemedicine market size is forecast to increase by USD 31.14 billion at a CAGR of 25% between 2024 and 2029.

The Artificial Intelligence (AI) in telemedicine market is witnessing substantial growth, driven by the increasing demand for remote healthcare services and the need for efficient, scalable solutions among healthcare providers. AI integration enhances telemedicine platforms by enabling more accurate diagnostics, personalized treatment recommendations, and improved clinical decision-making, all of which are critical for healthcare organizations aiming to optimize patient outcomes and operational efficiency. The market is further supported by continuous innovation and the launch of advanced AI in telemedicine powered solutions tailored for virtual care environments. However, data privacy and security remain significant concerns, as the digital transmission and storage of sensitive patient information expose healthcare systems to potential breaches and regulatory risks
With the increasing use of telemedicine and AI, sensitive patient data is being transmitted and stored digitally, making data security a major concern. Ensuring the confidentiality and protection of patient data is crucial for the growth and success of AI in Telemedicine market players. Companies must invest in robust security measures and adhere to regulatory standards to mitigate these risks and build trust with their customers.

What will be the Size of the Artificial Intelligence In Telemedicine Market during the forecast period?

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The artificial intelligence (AI) in telemedicine market continues to evolve, with healthcare providers increasingly integrating AI-driven solutions into their virtual care offerings. Telemedicine infrastructure is enhanced through AI-powered virtual assistants, enabling seamless patient engagement and clinical decision support. Personalized medicine benefits from data integration and predictive analytics, while AI-driven diagnostics and machine learning algorithms advance medical imaging analysis. Insurance companies leverage AI for streamlined claims processing and risk assessment. Telehealth platforms incorporate AI for mental health support, virtual care, and emergency medicine. High-speed internet access and cloud computing facilitate remote patient monitoring and real-time data analysis.
Wearable sensors and remote patient monitoring systems collect vast amounts of data, which is analyzed using AI for predictive analytics and clinical decision support. Regulatory compliance is ensured through AI-driven systems, while deep learning and computer vision are applied to drug discovery and specialty care. Natural language processing and video conferencing improve patient education and communication. AI-driven systems also support remote surgery and chronic disease management. Data privacy and big data analytics are essential considerations in the evolving AI telemedicine landscape.

How is this Artificial Intelligence In Telemedicine Industry segmented?

The artificial intelligence in telemedicine 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.

Component

  Software
  Hardware
  Services


End-user

  Pharmaceutical companies
  Hospitals
  Research institutes
  Others


Technology Specificity

  Machine Learning
  Natural Language Processing
  Computer Vision
  Deep Learning


Application

  Diagnostics
  Remote Monitoring
  Virtual Assistants
  Drug Discovery


Deployment Type

  Cloud-Based
  On-Premises


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  Middle East and Africa

    UAE


  APAC

    Australia
    China
    India
    South Korea


  Rest of World (ROW)

By Component Insights

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

The artificial intelligence (AI) market in telemedicine is experiencing significant growth, with the software segment playing a pivotal role. This segment encompasses diagnostic platforms, virtual assistants, clinical decision support systems, and data analytics tools, all of which leverage machine learning (ML), natural language processing (NLP), and other advanced AI techniques. AI-driven diagnostic software utilizes sophisticated algorithms to analyze medical data, including medical images, electronic health records (EHR), and genetic information, enabling healthcare providers to make more accurate diagnoses and offer evidence-based treatment recommendations. Virtual assistants, powered by AI, enhance patient engagement and streamline workflows, while predictive analytics tools help iden

ABSTRACT OBJECTIVE Mapping the role of telemedicine in the health access of patients with chronic diseases in continuous care actions (except for covid-19) during the pandemic. METHODS This is a scoping review, with an adapted version of the Prisma-Scr methodology and using the Population (patients with chronic diseases), Concept (telemedicine as a health access tool) and Context (covid-19 pandemic) strategy. We searched through the following databases: PubMed, Scopus, Embase, Web of Science, Lilacs and SciELO, resulting in 18 articles at the end of the review. We used the technological, sociocultural and assistance analysis dimensions. RESULTS Eighty-eight percent of the analyzed papers posited that telemedicine use to provide care increased during the pandemic. We identified that this use was positively related to the reduction of complications and the absence of physical displacement for care, expanding it to rural areas. Important barriers were presented, most importantly the digital exclusion, language sociocultural barriers, and inaccessibility to technological instruments for disabled people. CONCLUSIONS Innovation in care arrangements calls attention to how living labor is important to produce healthcare, using various technologies, and reveals tensions caused by the forces acting on healthcare micro politics. We conclude that, despite important barriers, telemedicine contributed to the care of chronic patients during the covid-19 pandemic.

The National Ambulatory Medical Care Survey (NAMCS), conducted by the National Center for Health Statistics (NCHS), collects data on visits to physician offices to describe patterns of ambulatory care delivery in the United States. As part of NAMCS, the Physician Induction Interview collects information about practice characteristics at physician offices. Partway through the 2020 NAMCS, NCHS added questions to the Physician Induction Interview to assess physician experiences related to COVID-19 in office-based settings. The data include nationally representative estimates of experiences related to COVID-19 among office-based physicians in the United States, including: shortages of personal protective equipment (PPE) in the past 3 months; the ability to test for COVID-19 in the past 3 months; providers testing positive for COVID-19 in the past 3 months; turning away COVID-19 patients in the past 3 months; and telemedicine or telehealth technology use before and after March 2020. Estimates were derived from interviews with physicians in periods 3 and 4 of 2020 NAMCS and periods 1 through 4 of 2021 NAMCS, which occurred between December 15, 2020 and May 6, 2022. The data are considered preliminary, and the results may change with the final data release.

In 2019, the telemedicine market size in India was almost *** million U.S. dollars. In the previous year, the market size stood at *** million U.S. dollars. Since 2010, the market telemedicine market size in the country has seen a gradual increase and is expected to grow at a compound annual growth rate (CAGR) of ** percent from 2020 to 2025. During the coronavirus (COVID-19) pandemic, the adoption of virtual care was accelerated throughout the country. This included teleconsultation, teleradiology, telepathology and e-pharmacy.

This is a summary of aggregated data being the foundation of the research study " Perceptions and attitudes of patients and healthcare workers towards the use of telemedicine in Botswana: A qualitative study."

Background: The onset of the pandemic necessitated abrupt transition to telehealth consultations. Although there is a few tools that gauge the patients' perception about their experiences, none of them are contextualized to an emergency in the Middle East and North Africa region. Accordingly, this study aims at developing and validating a tool to address this gap, and deploying it to assess the patients' perception of telehealth services during COVID-19 in Dubai, United Arab Emirates (UAE).Methods: A convergent mixed methods design was adapted. A random selection of 100 patients from Dubai, UAE were invited to participate. Qualitative and quantitative datasets were collected using a tailor-made survey. The qualitative data, collected through open-ended questions, was analyzed using multi-staged thematic analysis. As for the quantitative data, it captured the patients' extent of satisfaction, and was assessed using SPSS (with a series of descriptive and inferential analyses). The qualitative and quantitative findings were then merged via joint display analysis.Results: Out of the 100 patients that were randomly selected, 94 patients participated in this study. The reliability score of Cronbach's Alpha for the instrument was 98.9%. The percentage of the total average of satisfaction was 80.67%. The Principal Component Analysis showed that 88.1% of the variance can be explained by the instrument (p < 0.001). The qualitative data analysis expanded upon the quantitative findings enabling a better understanding of the patients' perception. Three themes, revolving around the quality of the patient telehealth experiences, surfaced: “Factors that worked to the benefit of the patients,” “Factors that the patients were not in favor of,” and “Opportunities for improvements as perceived by the patients.”Discussion: This study introduced a novel patient satisfaction with telehealth consultation survey contextualized to the COVID-19 times in Dubai, UAE. The participants were quite satisfied with the quality of their experience, however they suggested areas for improvement. Regional healthcare decision-makers can leverage the identified advantages and opportunities for improvement of telehealth. This will enable making informed decisions regarding the continuity of telehealth irrespective of how matters unfold in relation to the pandemic. It will also better prepare the healthcare sector for potential resurgence(s) of COVID-19 and/or the occurrence of other similar emergencies.

Telemedicine Market was calculated at USD 41,630 Million in 2019 and predicted to grow at 22.4% CAGR during the forecast period.

ABSTRACT Objective: to report on the creation and implementation of telehealth activities developed by the Forest Health Program in communities in conservation areas, in the state of Amazonas, during the COVID-19 pandemic. Methods: this is an experience report on the creation and implementation of the program. Results: the project began in June 2021 with medical and nursing services and currently has 63 points of connectivity installed. Dermatology was the most requested specialty (30.1%), with dermatitis being the main grievance diagnosed. For nursing, the most requested specialty was obstetrics, followed by pediatrics. Rio Madeira and the Catuá-Ipixema Extractive Reserve requested more than half of all consultations. Conclusion: this project showed a differentiated performance of telehealth in riverside communities in Amazonas, especially in the pandemic context, expanding health care in remote areas, such as these.

BackgroundTelemedicine has a positive impact on improving health literacy and disease management ability of chronic disease patients and reducing the medical burden. However, telemedicine still has many problems in chronic disease management. We should actively solve the problems and maximize the functions of telemedicine.ObjectiveTo explore the application and improvement of telemedicine in chronic disease self-management to provide important insights from functional module analysis for stakeholders, healthcare professionals, and policymakers to promote the development of telemedicine in chronic disease management.DesignWe conducted a systematic review and qualitative synthesis of five English databases including PubMed, Embase, Web of Science, Cochrane Database of Systematic Reviews, and Scopus, as well as three Chinese databases: China National Knowledge Infrastructure (CNKI), WanFang and VIP database. Databases were searched from inception until November 12, 2024.MethodsThis review is reported in accordance with guidelines for Enhancing Transparency in Reporting the Synthesis of Qualitative Research (ENTREQ). Two reviewers independently performed study selection, data extraction, and quality assessment using the Joanna Briggs Institute's key assessment tools for qualitative research. Thematic analysis was used for data synthesis.ResultsA total of 35 studies were included, and the contents were refined and summarized into 8 new subthemes. Then, four themes were synthesized: Reminder and supervisor, Access to knowledge, Transition in medical treatment mode, and Emotional support platform.ConclusionBy improving information quality, developing diverse functions, and constructing multidisciplinary coordination mechanisms to meet the needs of patients with chronic diseases, improve the medical service system, maximize the function of telemedicine, and enhance the stickiness of patients to use telemedicine.