Discover the booming online questionnaire system market! This in-depth analysis reveals key trends, growth drivers, and top players like SurveyMonkey and Qualtrics. Learn about market size, CAGR, and regional breakdowns to make informed business decisions. Explore opportunities in mobile surveys and web surveys across sectors.

With the proliferation of online data collection in human-subjects research, concerns have been raised over the presence of inattentive survey participants and non-human respondents (bots). We compared the quality of the data collected through five commonly used platforms. Data quality was indicated by the percentage of participants who meaningfully respond to the researcher’s question (high quality) versus those who only contribute noise (low quality). We found that compared to MTurk, Qualtrics, or an undergraduate student sample (i.e., SONA), participants on Prolific and CloudResearch were more likely to pass various attention checks, provide meaningful answers, follow instructions, remember previously presented information, have a unique IP address and geolocation, and work slowly enough to be able to read all the items. We divided the samples into high- and low-quality respondents and computed the cost we paid per high-quality respondent. Prolific ($1.90) and CloudResearch ($2.00) were cheaper than MTurk ($4.36) and Qualtrics ($8.17). SONA cost $0.00, yet took the longest to collect the data.

The online survey software and questionnaire tools market is experiencing robust growth, driven by the increasing need for efficient data collection and analysis across various sectors. The market's expansion is fueled by the rising adoption of digital technologies, the growing demand for real-time feedback mechanisms, and the increasing sophistication of analytical tools integrated within these platforms. Businesses across all sizes are leveraging online surveys to understand customer preferences, gauge employee satisfaction, and optimize their operations. This trend is further accelerated by the ease of use and accessibility of these tools, which require minimal technical expertise to implement and manage. The market is segmented based on features (e.g., advanced analytics, integration capabilities, mobile responsiveness), deployment models (cloud-based, on-premise), and industry verticals (e.g., healthcare, education, market research). The competitive landscape is highly fragmented, with a mix of established players like SurveyMonkey and Qualtrics alongside emerging innovative solutions. The market's continued growth trajectory is expected to be influenced by factors such as the increasing adoption of mobile-first strategies, the integration of AI and machine learning for advanced data analysis, and the growing focus on data privacy and security regulations. The projected Compound Annual Growth Rate (CAGR) suggests a steady upward trend in market value. While precise figures aren't provided, assuming a CAGR of 15% (a reasonable estimate for a rapidly growing tech sector) and a 2025 market size of $5 billion (a conservative estimate considering the numerous players and their individual market shares), we can anticipate substantial expansion through 2033. Factors like increasing competition, pricing pressures, and the need for constant innovation will continue to shape the market landscape. Strategic partnerships, mergers and acquisitions, and the development of new functionalities will be key factors in determining the success of individual players within this thriving segment. The focus on providing better user experience, enhanced data security, and advanced analytical capabilities will be crucial for companies seeking to thrive in this increasingly competitive market.

The booming online questionnaire system market is projected to reach $12.22 billion by 2033, driven by increasing demand for efficient data collection and real-time feedback. Explore market trends, leading companies like SurveyMonkey & Qualtrics, and regional insights in our comprehensive analysis. Discover the growth potential of mobile surveys and the challenges facing this rapidly evolving sector.

The booming online survey software market is projected to reach $1621.6 million by 2025, growing at a 14.4% CAGR. Discover key trends, drivers, restraints, and leading players shaping this dynamic sector across various applications and regions. Explore market forecasts until 2033.

This data set represents results from a Qualtrics survey administered to the KSU community during Spring 2022.

Discover the booming questionnaire software market! Our analysis reveals a $2.5 billion market in 2025, projected to grow at a 15% CAGR until 2033. Learn about key trends, top players (SurveyMonkey, Qualtrics, HubSpot, etc.), and regional insights to capitalize on this expanding opportunity.

Traffic analytics, rankings, and competitive metrics for qualtrics.com as of September 2025

Survey answers of 57 students who participated in several classes on ethics of technology which used a novel experimental method, what we called the tinkering exercise. We asked the students about their impressions of the exercise in free text, and also asked them to rank their impressions and answer multiple-choice questions. We subsequently used these results in a publication (still under peer review) to elaborate the results of the exercise.

a MOCK dataset used to show how to import Qualtrics metadata into the codebook R package

Table of variables

This table contains variable names, labels, and number of missing values. See the complete codebook for more.

Note

This dataset was automatically described using the codebook R package (version 0.9.5).

The global market research survey software market is experiencing robust growth, driven by increasing demand for data-driven decision-making across various industries. The market, estimated at $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This growth is fueled by several key factors, including the rising adoption of cloud-based solutions, the increasing need for real-time data analysis, and the growing sophistication of survey methodologies. Businesses are increasingly leveraging survey software to understand customer preferences, track brand perception, and measure the effectiveness of marketing campaigns. Furthermore, advancements in survey design, data analytics, and reporting capabilities are driving adoption across diverse sectors like healthcare, finance, and education. The market's expansion is further supported by the increasing availability of affordable and user-friendly survey platforms, making data collection and analysis more accessible to small and medium-sized enterprises (SMEs). The market is segmented by various features such as functionality (e.g., branching logic, data visualization), deployment type (cloud-based, on-premise), and pricing model (subscription, per-response). Leading players like Qualtrics, SurveyMonkey, and QuestionPro are actively investing in research and development to enhance their offerings and expand their market share. However, challenges such as data security concerns, integration complexities, and the need for skilled personnel to manage and analyze survey data could potentially restrain market growth to some degree. Nonetheless, the overall trend indicates significant opportunities for expansion in the coming years, particularly in emerging markets with increasing internet penetration and growing adoption of digital technologies.

Discover the booming digital survey management tool market! With a projected $5 billion market size in 2025 and a 15% CAGR, learn about key trends, leading companies (SurveyMonkey, Qualtrics, QuestionPro), and regional growth in this insightful market analysis covering 2019-2033.

Despite many innovative ideas generated in response to COVID-19, few studies have examined community preferences for these ideas. Our study aimed to determine university community members’ preferences for three novel ideas identified through a crowdsourcing open call at the University of North Carolina (UNC) for making campus safer in the pandemic, as compared to existing (i.e. pre-COVID-19) resources. An online survey was conducted from March 30, 2021 – May 6, 2021. Survey participants included UNC students, staff, faculty, and others. The online survey was distributed using UNC’s mass email listserv and research directory, departmental listservs, and student text groups. Collected data included participant demographics, COVID-19 prevention behaviors, preferences for finalist ideas vs. existing resources in three domains (graduate student supports, campus tours, and online learning), and interest in volunteering with finalist teams. In total 437 survey responses were received from 228 (52%) staff, 119 (27%) students, 78 (18%) faculty, and 12 (3%) others. Most participants were older than age 30 years (309; 71%), women (332, 78%), and white (363, 83.1%). Five participants (1%) were gender minorities, 66 (15%) identified as racial/ethnic minorities, and 46 (10%) had a disability. Most participants preferred the finalist idea for a virtual campus tour of UNC’s lesser-known history compared to the existing campus tour (52.2% vs. 16.0%). For graduate student supports, 41.4% of participants indicated no preference between the finalist idea and existing supports; for online learning resources, the existing resource was preferred compared to the finalist idea (41.6% vs. 30.4%). Most participants agreed that finalists’ ideas would have a positive impact on campus safety during COVID-19 (81.2%, 79.6%, and 79.2% for finalist ideas 1, 2 and 3 respectively). 61 (14.1%) participants indicated interest in volunteering with finalist teams. Together these findings contribute to the development and implementation of community-engaged crowdsourced campus safety interventions during COVID-19. Methods An online survey was distributed to members of the UNC Chapel Hill community using multiple digital strategies, including a mass informational email system (UNC’s Mass Mail system), circulation on 12 departmental listservs, UNC GroupMe text messages, and the Research For Me @ UNC database. Survey responses were collected via a Qualtrics survey form. Survey responses were collected online from March 30, 2021 to May 6, 2021. Survey participants completed electronic informed consent prior to answering the survey. All survey response data collected from participants were compiled using Microsoft Excel. Data collected include demographic information of participants, questions about COVID-19-related behaviors, and preferences for crowdsourced strategies for enhancing campus safety during the pandemic vs. existing comparable resources at UNC.

Explore the dynamic Survey Software market trends, growth drivers, and regional insights. Discover how cloud-based solutions and advanced analytics are reshaping customer feedback, healthcare, retail, and media sectors.

Project Overview Adolescence is a critical period for political development. Different political attitudes, political behaviors, and political interests tend to develop during adolescence and persist into adulthood. Welfare participation is associated with lower political participation and pessimistic views of politics among adults, yet we have not uncovered the extent to which welfare participation in adolescence affects political outcomes in adulthood. This project aims to address the disconnect in the literature between what we know about the effects of welfare program experiences and what we know about individual political development. Data and Data Collection Overview The broader project relied on both qualitative and quantitative data, including secondary data from the American National Election Studies (ANES), the National Longitudinal Survey of Youth 1997 (NLSY97) cohort, and the National Longitudinal Study of Adolescent Health (Add Health), which are not included here. The original data collected by the depositing researcher are included, as described below. The qualitative data included a focus group with seven participants and individual interviews with 30 other individuals recruited by the researcher. Interviews were chosen so that participants could be more comfortable sharing personal experiences in a private setting. This data collection technique also allowed the researcher to keep conversations on topic and to ask probing and follow-up questions more easily. The focus group technique was chosen to provide for interactions among the participants involved, thus allowing participants to react to each other’s experiences and comments, and going beyond top-of-mind themes for any one participant. Participants in Round 1 (including those in the focus group and individual interviews) and Round 2 were recruited from the undergraduate student body at a large midwestern public university (N=7), as well as from a local community college (N=13). They were recruited through IRB-approved mass emails to the undergraduate student bodies. Participants in the Round 3 data collection (N=10) were recruited from the sample of Qualtrics panel respondents who completed the Adolescent Hardship and Politics Attitudes Survey (AHPAS; more detail below). Among the ten individuals interviewed in Round 3, five were on welfare during their adolescence, and the other five were not on welfare but grew up in poverty. The Round 1 and Round 2 questionnaire data include the pseudonyms that were selected by participants from a list. The participants in Round 3 chose any name they wanted as a pseudonym. A list of Round 3 names chosen is included as documentation, so that they can be paired with the unique ID code that was used as part of the AHPAS survey. There were two key original quantitative data sources. First, the quantitative data included national-level survey data called the Adolescent Hardship and Political Attitudes Survey (AHPAS), fielded by the researcher via Qualtrics Research Services ( https://www.qualtrics.com/support/survey-platform/distributions-module/online-panels/ ). The AHPAS sample consisted of 1,137 respondents recruited by Qualtrics, who were surveyed in January 2025. About half of the sample had experienced means-tested welfare programs during adolescence, while the other half had not been on welfare, but was in poverty during the period. Second, quantitative data were separately derived from a questionnaire about political attitudes and demographic factors that interview participants from the Round 1 and Round 2 qualitative data collection also completed. After receiving IRB approval, a recruitment email was distributed with a screener survey to identify individuals with adolescent welfare program experience. Participants were selected based on the extent of their program experience (indexed in terms of number of programs used), as well as their availability to participate in the focus group or an interview. Participants were offered a $25 gift card incentive for their participation. To protect confidentiality and privacy, participants selected a pseudonym to use in the subsequent focus group The focus group and interview transcripts were analyzed using Atlas.ti. The transcripts were coded by combining deductive and inductive coding approaches. Selection and Organization of Shared Data Data files shared in this deposit include: The de-identified transcripts from the focus group discussion and the three rounds of individual interviews, all labeled with participants’ chosen pseudonyms, along with the researcher-collected questionnaire data from the same participants. The original national-level quantitative data from the AHPAS used for analysis are also shared, in a raw and clean version, in .dta and .csv formats. The Original version has the uncoded variables in it, while in the Clean version, the variables are coded/labeled, although there is no separate codebook. Secondary users who want to...

An online survey employing a discrete choice experiment was deployed in 2022 to gather information about households’ previous use of coastal resources in the Nature Coast of Florida and preferences towards reducing alterations in the quality/quantity of ecosystem services under various scenarios. Qualtrics, a provider of data collection and sample recruitment services for academic research, was used to recruit households to partake in our survey. Qualtrics offered an online survey software for creating and distributing surveys, collecting data, and analyzing responses. The household sample was comprised of residents within the state of Florida and within the southeastern United States and, furthermore, included both individuals who have visited and not visited the area. Outputs from this survey included the following: household trip frequency to the Nature Coast, previously engaged coastal activities, familiarity with fisheries/seagrass ecosystems, willingness to pay (WTP) to reduce alterations in ecosystem services provided by the Nature Coast, and demographic characteristics such as age, gender, education level, and household income. The results of a similar survey focused on saltwater anglers is available in GRIIDC dataset H4.x953.000:0007 (https://doi.org/10.7266/122QP80B).

The booming Digital Survey Management Tool market is projected to reach $15 billion by 2033, growing at a 15% CAGR. Explore key trends, drivers, and restraints shaping this dynamic industry, including cloud-based solutions, mobile-first design, and advanced analytics. Discover leading players and regional market insights.

Electronic data collection through a Qualtrics survey link, was utilized to explore pathways of COVID-19 behavioral health and quality of life. This cross-sectional study included responses from April 2020-July 2020 from adults ages 18–65. Participants gave virtual consent by continuing the online survey and were informed they could skip any questions or stop at any time—there was no compensation for time. Tulane University Institutional Review Board approved study protocol.

This document contains the raw data from an anonymous, cross-sectional, global online survey that aimed to identify the experiences and operation of research ethics review committees (ERCs) during the COVID-19 pandemic. Respondents were chairs (or their delegates) of ERCs who were involved in the review of COVID-19-related research protocols after March 2020. The 203 participants [130 from high-income countries (HICs) and 73 from low- and middle-income countries (LMICs)] came from diverse entities and organizations from 48 countries (19 HICs and 29 LMICs) in all World Health Organization regions.The survey questionnaire, administered through the Qualtrics Experience Management (XM) online platform, consisted of 50 items, with opportunities for open text responses. This document includes two Excel spreadsheets with the original data from Qualtrics, one for participants from HICs and the other for participants from LMICs.The study received approval from Western University’s Non-Medical Research Ethics Board (Protocol ID 120455). Additionally, it was evaluated by the World Health Organization Research Ethics Review Committee (Protocol ID CERC.0181) and was exempted from further review.

Raw Qualtrics data associated with this study and the readme file.