The online questionnaire system market is experiencing robust growth, driven by the increasing need for efficient data collection across various sectors. The market's expansion is fueled by several key factors, including the rising adoption of digital technologies, the need for faster data analysis, and the growing demand for personalized customer experiences. Businesses across diverse industries, from market research firms and academic institutions to enterprises managing internal operations, rely heavily on online questionnaires for gathering valuable insights. The shift towards mobile-first strategies also contributes significantly to market growth, as mobile surveys offer accessibility and convenience. This trend is further amplified by the increasing sophistication of online survey tools, which offer features like advanced analytics, real-time data visualization, and seamless integrations with other business applications. The market is segmented by application (academic research, market research, internal enterprise management, and others) and by type (mobile and web surveys). Competition is intense, with a mix of established players and emerging startups offering a variety of solutions catering to different needs and budgets. While the market is geographically diverse, North America and Europe currently hold significant market share, although the Asia-Pacific region is expected to witness substantial growth in the coming years due to increasing internet penetration and digital adoption. The market’s future growth is expected to be influenced by factors such as advancements in artificial intelligence (AI) for automated survey design and analysis, enhanced data security and privacy regulations, and evolving customer expectations for interactive and engaging survey experiences. The competitive landscape is characterized by both established players and innovative newcomers. Major players like SurveyMonkey and Qualtrics dominate the market with their comprehensive platforms, while smaller companies specialize in niche functionalities or cater to specific industry needs. The increasing demand for personalized and engaging surveys is driving innovation, with new features like gamification, branching logic, and advanced analytics constantly being developed. Challenges for the market include data privacy concerns and the need for continuous improvement in survey design to maximize response rates and data quality. However, the overall outlook for the online questionnaire system market remains positive, with continued growth projected through 2033, driven by the ever-increasing reliance on data-driven decision-making across various sectors. This creates significant opportunities for existing players to expand their offerings and for new entrants to establish a foothold in this dynamic and expanding market.

As more groups consider how AI may be used in the legal sector, this paper envisions how companies and policymakers can prioritize the perspective of community members as they design AI and policies around it. It presents findings of structured interviews and design sessions with community members, in which they were asked about whether, how, and why they would use AI tools powered by large language models to respond to legal problems like receiving an eviction notice. The respondents reviewed options for simple versus complex interfaces for AI tools, and expressed how they would want to engage with an AI tool to resolve a legal problem. These empirical findings provide directions that can counterbalance legal domain experts' proposals about the public interest around AI, as expressed by attorneys, court officials, advocates and regulators. By hearing directly from community members about how they want to use AI for civil justice tasks, what risks concern them, and the value they would find in different kinds of AI tools, this research can ensure that people's points of view are understood and prioritized, rather than only domain experts' assertions about people's needs and preferences around legal help AI.This article is part of the theme issue ‘A complexity science approach to law and governance’.

Abstract

The dataset is a relational dataset of 8,000 households households, representing a sample of the population of an imaginary middle-income country. The dataset contains two data files: one with variables at the household level, the other one with variables at the individual level. It includes variables that are typically collected in population censuses (demography, education, occupation, dwelling characteristics, fertility, mortality, and migration) and in household surveys (household expenditure, anthropometric data for children, assets ownership). The data only includes ordinary households (no community households). The dataset was created using REaLTabFormer, a model that leverages deep learning methods. The dataset was created for the purpose of training and simulation and is not intended to be representative of any specific country.

The full-population dataset (with about 10 million individuals) is also distributed as open data.

Geographic coverage

The dataset is a synthetic dataset for an imaginary country. It was created to represent the population of this country by province (equivalent to admin1) and by urban/rural areas of residence.

Analysis unit

Household, Individual

Universe

The dataset is a fully-synthetic dataset representative of the resident population of ordinary households for an imaginary middle-income country.

Kind of data

ssd

Sampling procedure

The sample size was set to 8,000 households. The fixed number of households to be selected from each enumeration area was set to 25. In a first stage, the number of enumeration areas to be selected in each stratum was calculated, proportional to the size of each stratum (stratification by geo_1 and urban/rural). Then 25 households were randomly selected within each enumeration area. The R script used to draw the sample is provided as an external resource.

Mode of data collection

other

Research instrument

The dataset is a synthetic dataset. Although the variables it contains are variables typically collected from sample surveys or population censuses, no questionnaire is available for this dataset. A "fake" questionnaire was however created for the sample dataset extracted from this dataset, to be used as training material.

Cleaning operations

The synthetic data generation process included a set of "validators" (consistency checks, based on which synthetic observation were assessed and rejected/replaced when needed). Also, some post-processing was applied to the data to result in the distributed data files.

Response rate

This is a synthetic dataset; the "response rate" is 100%.

Survey Tool Market Outlook

The global survey tool market size was valued at approximately USD 3.5 billion in 2023 and is projected to reach USD 7.2 billion by 2032, growing at a CAGR of 8.2% during the forecast period. The rapid growth of the survey tool market can be attributed to the increasing demand for data-driven decision-making across various sectors. Organizations are increasingly relying on survey tools to gather real-time feedback and insights, which is fueling the growth of this market globally.

One of the primary growth factors driving the survey tool market is the widespread adoption of digital transformation initiatives across industries. As businesses and organizations strive to become more data-centric, the importance of collecting, analyzing, and leveraging data has become paramount. Survey tools offer a simple yet effective way to gather large volumes of data from diverse sources, enabling organizations to make informed decisions. Moreover, the integration of advanced analytics and artificial intelligence capabilities into survey tools has further enhanced their utility, making them indispensable tools for modern businesses.

Another significant factor contributing to the market's growth is the increasing importance of customer and employee feedback in shaping organizational strategies. In today's competitive business environment, understanding customer preferences and employee satisfaction levels is crucial for retaining clients and maintaining a motivated workforce. Survey tools provide a streamlined and efficient method to capture feedback, analyze trends, and implement necessary changes. This heightened focus on feedback mechanisms has led to an increased adoption of survey tools across various industries, including retail, healthcare, and BFSI (Banking, Financial Services, and Insurance).

The rising trend of remote work and online education has also played a pivotal role in boosting the survey tool market. With the shift towards virtual environments, organizations and educational institutions are increasingly using online survey tools to gauge the effectiveness of their remote operations and online learning programs. These tools have become vital in capturing the sentiments and experiences of remote employees and students, ensuring that their needs are met and that any issues are promptly addressed. This trend is expected to continue, further driving the growth of the survey tool market.

In the context of employee feedback, the Employee Pulse Survey Tool has emerged as a vital resource for organizations aiming to maintain a motivated and engaged workforce. This tool allows companies to conduct frequent, short surveys that capture real-time insights into employee satisfaction and morale. By regularly gauging employee sentiments, organizations can swiftly address any issues and implement changes that enhance the workplace environment. The Employee Pulse Survey Tool is particularly beneficial in identifying trends in employee engagement, helping management to foster a culture of continuous improvement and open communication. As organizations increasingly prioritize employee well-being, the adoption of such tools is expected to grow, further driving the demand for survey solutions in the market.

From a regional perspective, North America holds a significant share of the survey tool market, primarily due to the high adoption rate of advanced technologies and the presence of numerous key players in the region. Additionally, the growing emphasis on customer experience management and employee engagement among North American businesses has fueled the demand for survey tools. Furthermore, the Asia Pacific region is anticipated to witness substantial growth during the forecast period, driven by the increasing digitalization efforts and the rising adoption of survey tools by small and medium enterprises (SMEs) in emerging economies such as India and China.

Type Analysis

The survey tool market can be segmented by type into online survey tools and offline survey tools. Online survey tools have gained immense popularity due to their convenience, ease of use, and the ability to reach a broader audience. These tools leverage internet connectivity to distribute surveys via email, social media, or embedded links on websites, making it easy to collect responses from geographically dispersed p

analyze the current population survey (cps) annual social and economic supplement (asec) with r the annual march cps-asec has been supplying the statistics for the census bureau's report on income, poverty, and health insurance coverage since 1948. wow. the us census bureau and the bureau of labor statistics ( bls) tag-team on this one. until the american community survey (acs) hit the scene in the early aughts (2000s), the current population survey had the largest sample size of all the annual general demographic data sets outside of the decennial census - about two hundred thousand respondents. this provides enough sample to conduct state- and a few large metro area-level analyses. your sample size will vanish if you start investigating subgroups b y state - consider pooling multiple years. county-level is a no-no. despite the american community survey's larger size, the cps-asec contains many more variables related to employment, sources of income, and insurance - and can be trended back to harry truman's presidency. aside from questions specifically asked about an annual experience (like income), many of the questions in this march data set should be t reated as point-in-time statistics. cps-asec generalizes to the united states non-institutional, non-active duty military population. the national bureau of economic research (nber) provides sas, spss, and stata importation scripts to create a rectangular file (rectangular data means only person-level records; household- and family-level information gets attached to each person). to import these files into r, the parse.SAScii function uses nber's sas code to determine how to import the fixed-width file, then RSQLite to put everything into a schnazzy database. you can try reading through the nber march 2012 sas importation code yourself, but it's a bit of a proc freak show. this new github repository contains three scripts: 2005-2012 asec - download all microdata.R down load the fixed-width file containing household, family, and person records import by separating this file into three tables, then merge 'em together at the person-level download the fixed-width file containing the person-level replicate weights merge the rectangular person-level file with the replicate weights, then store it in a sql database create a new variable - one - in the data table 2012 asec - analysis examples.R connect to the sql database created by the 'download all microdata' progr am create the complex sample survey object, using the replicate weights perform a boatload of analysis examples replicate census estimates - 2011.R connect to the sql database created by the 'download all microdata' program create the complex sample survey object, using the replicate weights match the sas output shown in the png file below 2011 asec replicate weight sas output.png statistic and standard error generated from the replicate-weighted example sas script contained in this census-provided person replicate weights usage instructions document. click here to view these three scripts for more detail about the current population survey - annual social and economic supplement (cps-asec), visit: the census bureau's current population survey page the bureau of labor statistics' current population survey page the current population survey's wikipedia article notes: interviews are conducted in march about experiences during the previous year. the file labeled 2012 includes information (income, work experience, health insurance) pertaining to 2011. when you use the current populat ion survey to talk about america, subract a year from the data file name. as of the 2010 file (the interview focusing on america during 2009), the cps-asec contains exciting new medical out-of-pocket spending variables most useful for supplemental (medical spending-adjusted) poverty research. confidential to sas, spss, stata, sudaan users: why are you still rubbing two sticks together after we've invented the butane lighter? time to transition to r. :D

The statistic presents results of a survey on the share of respondents who believe Russia created and spread fake news stories to help Donald Trump win the election in the United States as of October 2017. It was found that ** percent of respondents believed that Russia definitely created and spread fake news stories.

Enterprise Survey Software Market Outlook

The global enterprise survey software market size was valued at approximately USD 3.2 billion in 2023 and is projected to reach around USD 8.9 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.5% during the forecast period. The robust growth in this market can be attributed to the increasing need for efficient data collection and analysis tools that help organizations make more informed decisions, enhance customer satisfaction, and improve overall operational efficiency.

One of the primary growth factors of the enterprise survey software market is the rapid digital transformation across various sectors, which has escalated the demand for automated and sophisticated survey tools. Companies are increasingly recognizing the value of data-driven insights to gain a competitive edge, drive innovation, and enhance customer engagement. Furthermore, the integration of artificial intelligence and machine learning into survey software has significantly improved the accuracy and efficiency of data analysis, thus making these tools indispensable for modern enterprises.

Another significant factor driving the market is the growing emphasis on customer experience and employee engagement. Organizations are investing heavily in understanding the needs, preferences, and sentiments of their customers and employees. Enterprise survey software provides a platform for collecting real-time feedback, which is crucial for devising strategies that improve customer satisfaction and employee productivity. The insights gained from these surveys help in identifying pain points, predicting trends, and making data-driven decisions that align with business objectives.

The increasing adoption of cloud-based solutions is also propelling the market forward. Cloud deployment offers several advantages such as scalability, flexibility, reduced IT costs, and ease of access, which are particularly beneficial for small and medium enterprises (SMEs). With more organizations shifting towards cloud-based systems, the demand for cloud-based enterprise survey software is expected to witness substantial growth. Additionally, the ongoing advancements in cloud technology, including enhanced security features and improved integration capabilities, are further fueling market expansion.

In this evolving landscape, Online Form Builder Software is becoming an essential tool for businesses aiming to streamline their data collection processes. These platforms offer a user-friendly interface that allows organizations to create customized forms without the need for extensive coding knowledge. By leveraging such software, companies can efficiently gather and analyze data from various sources, enhancing their ability to make informed decisions. The integration of Online Form Builder Software with existing business systems further simplifies data management, enabling seamless workflows and improved operational efficiency. As the demand for digital solutions continues to rise, the adoption of Online Form Builder Software is expected to grow, providing businesses with the flexibility and scalability needed to adapt to changing market dynamics.

Regionally, North America holds a significant share of the enterprise survey software market, primarily due to the presence of numerous leading technology companies and high adoption rates of advanced software solutions. The region's well-established IT infrastructure and the continuous investment in technological innovations are key drivers of market growth. Meanwhile, the Asia Pacific region is anticipated to experience the highest growth rate during the forecast period, driven by factors such as rapid industrialization, digitalization, and increasing investments in IT infrastructure by emerging economies.

Component Analysis

Within the enterprise survey software market, the component segment is divided into software and services. The software segment encompasses a variety of survey tools designed to create, distribute, and analyze surveys efficiently. This segment is witnessing substantial growth due to the increasing need for sophisticated data collection and analysis solutions. Modern survey software often includes advanced features such as AI-driven analytics, real-time reporting, and customizable survey templates, which enhance user experience and provide valuable insights for decision-making processes.

On the other hand, the services segment

Abstract

The documented dataset covers Enterprise Survey (ES) panel data collected in Liberia in 2009 and 2017, as part of the Enterprise Survey initiative of the World Bank. An Indicator Survey is similar to an Enterprise Survey; it is implemented for smaller economies where the sampling strategies inherent in an Enterprise Survey are often not applicable due to the limited universe of firms.

The objective of the 2009-2017 Enterprise Survey is to obtain feedback from enterprises in client countries on the state of the private sector as well as to build a panel of enterprise data that will make it possible to track changes in the business environment over time and allow, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the Indicator Survey data provides information on the constraints to private sector growth and is used to create statistically significant business environment indicators that are comparable across countries.

As part of its strategic goal of building a climate for investment, job creation, and sustainable growth, the World Bank has promoted improving the business environment as a key strategy for development, which has led to a systematic effort in collecting enterprise data across countries. The Enterprise Surveys (ES) are an ongoing World Bank project in collecting both objective data based on firms' experiences and enterprises' perception of the environment in which they operate.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for the 2009-2017 Liberia Enterprise Survey (ES) was selected using stratified random sampling, following the methodology explained in the Sampling Note. Stratified random was preferred over simple random sampling for several reasons: - To obtain unbiased estimates for different subdivisions of the population with some known level of precision. - To obtain unbiased estimates for the whole population. The whole population, or universe of the study, is the non-agricultural economy. It comprises: all manufacturing sectors according to the group classification of ISIC Revision 3.1: (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except subsector 72, IT, which was added to the population under study), and all public or utilities sectors.

• To make sure that the final total sample includes establishments from all different sectors and that it is not concentrated in one or two of industries/sizes/regions.
• To exploit the benefits of stratified sampling where population estimates, in most cases, will be more precise than using a simple random sampling method (i.e., lower standard errors, other things being equal.)
• Stratification may produce a smaller bound on the error of estimation than would be produced by a simple random sample of the same size. This result is particularly true if measurements within strata are homogeneous.

• The cost per observation in the survey may be reduced by stratification of the population elements into convenient groupings.

  Three levels of stratification were used in this country: industry, establishment size, and region. Industry stratification was designed as follows: the universe was stratified as into manufacturing and services industries. Manufacturing (ISIC Rev. 3.1 codes 15 - 37), and Services (ISIC codes 45, 50-52, 55, 60-64, and 72). For the Liberia ES, size stratification was defined as follows: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).
  Regional stratification for the Liberia ES was done across three regions: Montserrado, Margibi, and Nimba.

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instruments are available: - Services and Manufacturing Questionnaire - Screener Questionnaire.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country's business environment. The remaining questions assess the survey respondents' opinions on what are the obstacles to firm growth and performance.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

There was a high response rate especially as a result of positive attitude towards the international community in collaboration with the government in their reconstruction efforts after a period of civil strife.There was also very positive attitude towards World Bank initiatives.

According to Cognitive Market Research, the global Online Survey Software market size will be USD 3814.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 14.60% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 1525.80 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.8% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 1144.35 million in 2024 and will grow at a compound annual growth rate (CAGR) of 13.1% from 2024 to 2031.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 877.34 million in 2024 and will grow at a compound annual growth rate (CAGR) of 16.6% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 190.73 million in 2024 and will grow at a compound annual growth rate (CAGR) of 14.0% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 76.29 million in 2024 and will grow at a compound annual growth rate (CAGR) of 14.3% from 2024 to 2031.
The Enterprise Grade category is the fastest growing segment of the Online Survey Software industry

Market Dynamics of Online Survey Software Market

Key Drivers for Online Survey Software Market

Rising Mobile Penetration to Boost Market Growth

Due to increased accessibility and participation made possible by rising smartphone penetration, the market for online survey software is expanding at a rapid rate. People may readily answer surveys at any time and from any location because of the growing use of smartphones. Response rates are raised via mobile-friendly survey systems that are built for smaller displays and improve user experience and engagement. Companies use smartphone polls to get immediate input and ideas, particularly from younger, tech-savvy audiences. Reach is further increased by connection with applications and social media platforms made possible by mobile compatibility. Online survey software designed for mobile devices is becoming more and more in demand as mobile internet usage increases worldwide, especially in emerging nations.

Demand for Instantaneous Feedback to Drive Market Growth

The market for online survey software is primarily influenced by the need for immediate feedback. Businesses are looking for more and more real-time insights to make data-driven decisions more quickly in dynamic market settings. Online survey solutions make it easier to gather, evaluate, and analyze stakeholder, employee, and customer input instantly. Live analytics and fast reporting are examples of features that boost responsiveness, enabling companies to resolve problems quickly and raise customer happiness. In sectors where prompt actions have a major impact on results, such as retail, hospitality, and healthcare, instant feedback is especially important. Automation and artificial intelligence developments are also contributing to this trend by making it possible to assess survey data more quickly.

Restraint Factor for the Online Survey Software Market

Challenges with Data Security Will Limit Market Growth

Data security issues severely limit the market expansion for online survey software. People are discouraged from using these platforms because of worries about data breaches, illegal access, and misuse of private data. Because surveys frequently gather sensitive personal and commercial information, user trust is impacted by insufficient encryption, noncompliance with data protection laws (such as the CCPA and GDPR), and flaws in software systems. Concerns have increased in response to high-profile intrusions, particularly for companies that handle sensitive consumer data. Furthermore, smaller enterprises may find it difficult to expand their markets due to the complexity and expense of putting strong security measures in place. For continued growth, these security issues must be resolved.

Impact of COVID-19 on the Online Survey Software Market

The market for online survey software experienced tremendous expansion due to the COVID-19 epidemic. Due to social distancing and the prevalence of remote labor, businesses depended on digital platforms for market research, employee engagement, and feedback gathering. Online surveys were us...

This dataset supports the doctoral dissertation The AI of the Beholder: A Quantitative Study on Human Perception and Appraisal of AI-Generated Images by Joshua Cunningham (Robert Morris University, 2025). The study investigates how individuals perceive and appraise artwork generated by artificial intelligence (AI) in comparison to human-created pieces. Specifically, it examines: (1) whether participants can accurately distinguish AI-generated from human-created artwork, (2) how age and exposure to AI art influence this ability and related appraisals, and (3) how digital versus traditional visual styles of AI art are perceived. The dataset includes anonymized survey responses collected from a diverse group of adult participants. Respondents were asked to evaluate a series of visual artworks—some created by humans, others by AI—across a range of styles, including both digital and traditional aesthetics. Additional demographic information such as age and prior exposure to AI tools was collected to assess moderating effects. The data were analyzed using SPSS to evaluate participant accuracy, preferences, and perceptions. This dataset can support further research into the psychological, aesthetic, and cultural dynamics of AI-generated content, as well as human-machine interaction in the creative arts.You may find the images used in this study, the original survey instrument, as well as a legend detailing each of the variables here: https://drive.google.com/drive/folders/125oaW82HpJUjI7EbaQWk_51puz0DgWKc?usp=sharing

The Atlantic Beach artificial reef, located on the sea floor 3 nautical miles south of Atlantic Beach, New York in about 20 meters water depth, was built to create habitat for marine life. The reef was originally created by placing heavy materials such as tires, automobile bodies and other vehicles, barges, and rock from a dredging project on the sea floor. In 2000, the U.S. Geological Survey surveyed the area using a Simrad EM1000 multibeam echosounder mounted on the Canadian Coast Guard (CCG) ship Frederick G. Creed. The purpose of this multibeam survey, done in cooperation with the U.S. Army Corps of Engineers when the Creed was in the New York region in April 2000, was to map the bathymetry and backscatter intensity of the sea floor in the area of the Atlantic Beach artificial reef. The data from this survey are bathymetry, backscatter intensity, and navigation trackline.

PLEASE NOTE: This is a Synthetic data file, also known as a Dummy File - it is NOT real data. This synthetic data file should not be used for purposes other than to develop and test computer programs that are to be submitted by remote access. Each record in the synthetic file matches the format and content parameters of the real Statistics Canada Master File with which it is associated, but the data themselves have been 'made up'. They do NOT represent responses from real individuals and should NOT be used for actual analysis. These data are provided solely for the purpose of testing statistical packing 'code' (e.g. SPSS syntax, SAS programs, etc.) in preparation for analysis using the associated Master File in a Research Data Centre, by Remote Job Submission, or by some other means of secure access. If statistical analysis 'code' works with the synthetic data, researchers can have some confidence that the same code will run successfully against the Master File data in the Research Data Centres. The Canadian Community Health Survey (CCHS) is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. It surveys a large sample of respondents and is designed to provide reliable estimates at the health region level. In 2007, major changes were made to the CCHS design. Data is now collected on an ongoing basis with annual releases, rather than every two years as was the case prior to 2007. The survey's objectives were also revised and are as follows: • support health surveillance programs by providing health data at the national, provincial and intra-provincial levels; • provide a single data source for health research on small populations and rare characteristics; • timely release of information easily accessible to a diverse community of users; and • create a flexible survey instrument that includes a rapid response option to address emerging issues related to the health of the population.

Abstract

The National Family Health Survey 2019-21 (NFHS-5), the fifth in the NFHS series, provides information on population, health, and nutrition for India, each state/union territory (UT), and for 707 districts.

The primary objective of the 2019-21 round of National Family Health Surveys is to provide essential data on health and family welfare, as well as data on emerging issues in these areas, such as levels of fertility, infant and child mortality, maternal and child health, and other health and family welfare indicators by background characteristics at the national and state levels. Similar to NFHS-4, NFHS-5 also provides information on several emerging issues including perinatal mortality, high-risk sexual behaviour, safe injections, tuberculosis, noncommunicable diseases, and the use of emergency contraception.

The information collected through NFHS-5 is intended to assist policymakers and programme managers in setting benchmarks and examining progress over time in India’s health sector. Besides providing evidence on the effectiveness of ongoing programmes, NFHS-5 data will help to identify the need for new programmes in specific health areas.

The clinical, anthropometric, and biochemical (CAB) component of NFHS-5 is designed to provide vital estimates of the prevalence of malnutrition, anaemia, hypertension, high blood glucose levels, and waist and hip circumference, Vitamin D3, HbA1c, and malaria parasites through a series of biomarker tests and measurements.

Geographic coverage

National coverage

Analysis unit

• Household
• Individual
• Children age 0-5
• Woman age 15-49
• Man age 15 to 54

Universe

The survey covered all de jure household members (usual residents), all women aged 15-49, all men age 15-54, and all children aged 0-5 resident in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

A uniform sample design, which is representative at the national, state/union territory, and district level, was adopted in each round of the survey. Each district is stratified into urban and rural areas. Each rural stratum is sub-stratified into smaller substrata which are created considering the village population and the percentage of the population belonging to scheduled castes and scheduled tribes (SC/ST). Within each explicit rural sampling stratum, a sample of villages was selected as Primary Sampling Units (PSUs); before the PSU selection, PSUs were sorted according to the literacy rate of women age 6+ years. Within each urban sampling stratum, a sample of Census Enumeration Blocks (CEBs) was selected as PSUs. Before the PSU selection, PSUs were sorted according to the percentage of SC/ST population. In the second stage of selection, a fixed number of 22 households per cluster was selected with an equal probability systematic selection from a newly created list of households in the selected PSUs. The list of households was created as a result of the mapping and household listing operation conducted in each selected PSU before the household selection in the second stage. In all, 30,456 Primary Sampling Units (PSUs) were selected across the country in NFHS-5 drawn from 707 districts as on March 31st 2017, of which fieldwork was completed in 30,198 PSUs.

For further details on sample design, see Section 1.2 of the final report.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Four survey schedules/questionnaires: Household, Woman, Man, and Biomarker were canvassed in 18 local languages using Computer Assisted Personal Interviewing (CAPI).

Cleaning operations

Electronic data collected in the 2019-21 National Family Health Survey were received on a daily basis via the SyncCloud system at the International Institute for Population Sciences, where the data were stored on a password-protected computer. Secondary editing of the data, which required resolution of computer-identified inconsistencies and coding of open-ended questions, was conducted in the field by the Field Agencies and at the Field Agencies central office, and IIPS checked the secondary edits before the dataset was finalized.

Field-check tables were produced by IIPS and the Field Agencies on a regular basis to identify certain types of errors that might have occurred in eliciting information and recording question responses. Information from the field-check tables on the performance of each fieldwork team and individual investigator was promptly shared with the Field Agencies during the fieldwork so that the performance of the teams could be improved, if required.

Response rate

A total of 664,972 households were selected for the sample, of which 653,144 were occupied. Among the occupied households, 636,699 were successfully interviewed, for a response rate of 98 percent.

In the interviewed households, 747,176 eligible women age 15-49 were identified for individual women’s interviews. Interviews were completed with 724,115 women, for a response rate of 97 percent. In all, there were 111,179 eligible men age 15-54 in households selected for the state module. Interviews were completed with 101,839 men, for a response rate of 92 percent.

Online Survey Software and Tools Market Outlook

The global online survey software and tools market size was valued at approximately USD 3.2 billion in 2023 and is projected to reach around USD 7.5 billion by 2032, growing at a CAGR of 9.8% during the forecast period. The significant growth factor driving this market includes the increasing necessity for organizations to gather real-time feedback from customers, employees, and other stakeholders to enhance decision-making processes and strategic planning.

The expansive growth in the online survey software and tools market is majorly driven by the rising adoption of digital transformation initiatives across industries. Organizations are increasingly leveraging digital tools to streamline their operations, improve customer engagement, and gain competitive advantages. Online survey software provides a cost-effective solution for collecting and analyzing data, which can be used to improve product offerings, customer satisfaction, and operational efficiencies. Furthermore, the widespread adoption of internet connectivity and mobile devices has made it easier for respondents to participate in surveys, thereby increasing response rates and data quality.

Another critical growth driver is the increasing emphasis on customer experience and satisfaction. In today's competitive business environment, understanding customer needs and preferences is paramount for retaining and attracting clients. Online survey tools offer a scalable and efficient way to gather customer feedback, track satisfaction levels, and identify areas for improvement. Businesses in sectors such as retail, healthcare, and financial services are particularly focused on enhancing customer experience, which in turn fuels demand for sophisticated survey tools capable of providing in-depth insights and analytics.

The integration of advanced technologies such as artificial intelligence (AI) and machine learning (ML) into survey software is also contributing to market growth. These technologies enable more accurate data analysis, predictive analytics, and automated insights, which are invaluable for businesses looking to make data-driven decisions. AI-powered survey tools can analyze large volumes of data quickly, identify patterns, and provide actionable recommendations, thus enhancing the overall value proposition of online survey software.

In the realm of customer feedback and satisfaction measurement, the Nps Net Promoter Score Tool has emerged as a pivotal instrument for businesses aiming to gauge customer loyalty and predict business growth. This tool is particularly valuable in today's competitive landscape, where understanding customer sentiment can directly influence strategic decisions and operational improvements. By categorizing customers into promoters, passives, and detractors, the Nps Net Promoter Score Tool provides a clear metric that organizations can use to assess their customer relationships and identify areas needing enhancement. The insights gained from this tool enable businesses to tailor their customer engagement strategies, ultimately fostering stronger customer loyalty and driving long-term success.

Regionally, North America holds the largest share of the online survey software and tools market, attributable to the high adoption rate of advanced technologies and significant investments in digital transformation projects. The presence of major industry players and the growing emphasis on customer satisfaction also contribute to the market's expansion in this region. Asia Pacific is anticipated to exhibit the highest growth rate during the forecast period, driven by the increasing penetration of internet services, rapid economic development, and the rising adoption of digital business solutions in emerging economies such as China and India.

Component Analysis

The online survey software and tools market can be segmented by component into software and services. The software segment dominates the market, driven by the widespread adoption of survey platforms that offer a range of functionalities including survey creation, distribution, data collection, and analysis. These software solutions are designed to cater to various organizational needs, from simple feedback forms to complex market research projects. The ease of use, flexibility, and scalability of survey software make it an attractive choice for businesses of all sizes.

Within the software segment, special

Digital Survey Tools Market Outlook

The global Digital Survey Tools market size was valued at approximately $3.2 billion in 2023 and is expected to reach around $8.1 billion by 2032, growing at a CAGR of 10.9% during the forecast period. This robust growth can be attributed to increasing digitalization across various sectors, the necessity for real-time feedback, and advancements in analytical capabilities.

One of the primary growth factors driving the digital survey tools market is the burgeoning need for real-time data collection and analysis. In today’s fast-paced world, businesses require immediate feedback to make informed decisions. Digital survey tools provide an efficient and effective way to gather and analyze data, helping organizations stay agile and responsive. Furthermore, the rise of mobile technology has made it easier to reach a broader audience, enabling more comprehensive data collection across different demographics and geographies.

The growth of the e-commerce sector is another significant driver for the digital survey tools market. As online shopping becomes more prevalent, businesses are increasingly relying on digital surveys to understand customer satisfaction, preferences, and behaviors. This information is crucial for tailoring marketing strategies, improving products or services, and ultimately enhancing customer loyalty. Moreover, the COVID-19 pandemic has accelerated the adoption of digital solutions, including survey tools, as businesses strive to maintain customer engagement and gather feedback in a remote environment.

Additionally, the integration of artificial intelligence and machine learning with digital survey tools is revolutionizing the market. These technologies enable advanced analytics, predictive insights, and personalized survey experiences, making the data collected more valuable and actionable. AI-powered survey tools can automatically analyze open-ended responses, identify trends, and even predict future behaviors, thus enabling organizations to make proactive decisions. As these technologies continue to evolve, their adoption in digital survey tools is expected to soar, further propelling market growth.

On the regional front, North America holds a significant share of the digital survey tools market owing to its advanced technological infrastructure and the presence of major industry players. The region’s high internet penetration rate and widespread use of mobile devices further facilitate the adoption of digital survey tools. Additionally, the Asia Pacific region is expected to witness substantial growth during the forecast period. Rapid digital transformation, increasing internet and smartphone usage, and growing awareness about the benefits of digital surveys are driving the market in this region. Countries like China and India are emerging as key markets due to their large populations and expanding digital ecosystems.

Type Analysis

The digital survey tools market can be segmented by type into online surveys, mobile surveys, email surveys, and others. Online surveys are currently the most popular type, driven by their convenience and broad reach. These surveys can be easily distributed through various online channels such as websites, social media, and email, making them highly accessible. Additionally, online surveys often come with robust analytical tools that allow for real-time data analysis and reporting, enabling organizations to quickly interpret and act on the collected information. The versatility and efficiency of online surveys make them a preferred choice for many businesses and researchers.

Mobile surveys are gaining traction due to the widespread use of smartphones and mobile internet. These surveys are designed to be completed on mobile devices, offering convenience and flexibility to respondents. The mobility factor allows businesses to reach respondents anytime and anywhere, increasing the response rate and the diversity of the sample population. Moreover, mobile surveys often include features like push notifications and location-based services, which can enhance respondent engagement and data accuracy. As mobile technology continues to evolve, the adoption of mobile surveys is expected to rise significantly.

Email surveys, while traditional, remain a valuable tool in the digital survey toolkit. They are particularly effective for reaching a specific, targeted audience, as they can be sent directly to individuals' inboxes. Email surveys often offer higher completion rates compared to other types due to their personalized nature. They also allow fo

Survey and Feedback Management Software Market Outlook

The global survey and feedback management software market size was valued at approximately USD 2.5 billion in 2023 and is projected to reach around USD 6.8 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 11.5% from 2024 to 2032. This remarkable growth is driven by increasing demand for advanced customer experience solutions and the need for businesses to gain actionable insights from customer feedback.

One significant growth factor for this market is the heightened focus on customer experience across various industries. As businesses strive to differentiate themselves in a competitive marketplace, they are increasingly adopting survey and feedback management software to collect, analyze, and act on customer feedback. This trend is particularly evident in sectors such as retail, healthcare, and BFSI, where understanding customer needs and preferences is crucial for maintaining customer loyalty and satisfaction.

Another growth driver is the rapid adoption of cloud-based solutions. Cloud deployment offers numerous benefits, including scalability, cost-effectiveness, and accessibility, making it an attractive option for organizations of all sizes. The flexibility provided by cloud solutions allows businesses to quickly deploy and scale their feedback management systems, thus driving market growth. Moreover, advancements in cloud security and data protection measures have alleviated concerns related to data privacy, further encouraging the adoption of cloud-based feedback management software.

Additionally, the increasing integration of artificial intelligence (AI) and machine learning (ML) in survey and feedback management software is propelling the market forward. AI and ML technologies enable more sophisticated data analysis, allowing businesses to derive deeper insights from customer feedback. These technologies can identify patterns and trends that may not be apparent through traditional analysis methods, thereby helping organizations make more informed decisions to enhance customer experience.

The rise of Digital Survey Tools has revolutionized how organizations gather and analyze customer feedback. These tools offer a seamless and efficient way to create, distribute, and manage surveys, enabling businesses to collect valuable insights with ease. With features such as real-time analytics, customizable templates, and integration with other business systems, digital survey tools empower companies to make informed decisions based on accurate and timely data. As the demand for enhanced customer experience continues to grow, digital survey tools are becoming an essential component of feedback management strategies across various industries.

From a regional perspective, North America holds a significant share of the market, driven by the presence of major market players and the early adoption of advanced technologies. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. The rapid digital transformation in countries like China and India, coupled with the increasing focus on improving customer experience, is contributing to the surge in demand for survey and feedback management software in this region.

Component Analysis

The survey and feedback management software market is segmented by components into software and services. The software segment encompasses various tools and platforms designed to facilitate the creation, distribution, and analysis of surveys and feedback forms. This segment is witnessing significant growth due to the increasing demand for user-friendly and feature-rich survey tools that can streamline the feedback collection process. Advanced software solutions often include features such as customizable templates, real-time reporting, and integration capabilities with other business applications, making them highly sought after by organizations.

On the other hand, the services segment includes a range of support services such as consulting, implementation, and maintenance. As businesses strive to maximize the value of their feedback management systems, they often seek expert guidance to ensure effective deployment and utilization of the software. The services segment is growing steadily, driven by the need for professional assistance in setting up and optimizing feedback management systems. Additionally, ongoing maintenance and support services are crucial for

Survey Software Market Outlook

The global survey software market size was valued at approximately USD 3.2 billion in 2023 and is projected to reach around USD 6.5 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 8.2% during the forecast period. This growth can be attributed to the increasing emphasis on data-driven decision-making processes and the necessity for organizations to understand consumer behavior and preferences extensively. Survey software has become an indispensable tool in gathering qualitative and quantitative data, facilitating businesses in gaining insights, optimizing strategies, and enhancing customer satisfaction, which are key drivers fueling the market expansion.

One of the prominent growth factors in the survey software market is the burgeoning demand for real-time analytics and feedback, which empowers businesses to make timely and informed decisions. The ability to access instant insights using advanced survey platforms offers organizations the flexibility to adapt to ever-changing market dynamics swiftly. Additionally, the integration of artificial intelligence and machine learning algorithms in survey software has elevated its capabilities to analyze vast amounts of data efficiently and provide predictive analytics. This technological advancement is significantly augmenting the adoption of survey software across various industries, thereby propelling market growth.

Furthermore, the increasing penetration of internet services globally has expanded the reach of survey software, making it feasible for organizations to conduct surveys across diverse geographical regions. The rise in smartphone usage and digitalization has enabled consumers to participate in surveys conveniently, boosting response rates and accuracy. This ease of accessibility has made surveys a preferred method for market research, customer feedback, and employee satisfaction assessments, stimulating the demand for robust survey platforms. In addition, the growing focus on enhancing customer experience and employee engagement is catalyzing the marketÂ’s growth as organizations strive to derive actionable insights.

In terms of regional outlook, North America holds a significant share in the survey software market, driven by the early adoption of advanced technologies and the presence of key market players. The region's robust technological infrastructure and the increasing trend of utilizing data analytics for business intelligence are crucial in supporting market growth. Meanwhile, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, attributed to the rapid digital transformation across countries like China and India, coupled with the increasing demand for customer insights in emerging markets. The growth in these regions highlights the expansive potential of the survey software market on a global scale.

Component Analysis

The survey software market is segmented into software and services components, with each playing a vital role in the overall market structure. Software components include platforms and tools that facilitate the creation, distribution, and analysis of surveys. The increasing demand for user-friendly and feature-rich survey platforms is driving growth in this segment. These platforms are continuously evolving, incorporating features such as drag-and-drop functionality, customizable templates, and integration capabilities with other software applications, thereby enhancing their usability and appeal among users across various industries.

The emergence of Poll App solutions is revolutionizing how organizations gather and analyze feedback. These applications provide a dynamic and interactive platform for conducting surveys, enabling real-time engagement with respondents. By leveraging Poll App technology, businesses can capture instantaneous feedback from their audience, which is crucial for making agile and informed decisions. This immediacy not only enhances the quality of data collected but also improves response rates by offering a more engaging experience for participants. The integration of Poll App features into traditional survey software is becoming increasingly popular, as it allows organizations to diversify their data collection methods and cater to a broader audience. As the demand for innovative survey solutions grows, Poll App technology is poised to play a significant role in shaping the future of the survey software market.

On the other hand, the services segm

The Hydrographic Survey Equipment Market is primarily driven by accurate and up-to-date marine charts and maps, as well as an increased emphasis on offshore exploration and production activities such as oil and gas development. This is strengthened by increased investment in infrastructure development, coastal zone management, and environmental monitoring initiatives, particularly in emerging economies. The market size surpass USD 2.78 Billion valued in 2023 to reach a valuation of around USD 4.42 Billion by 2031.

Favorable technological advancements in surveying equipment, such as the development of multibeam sonar systems, light detection and ranging (LiDAR), and autonomous underwater vehicles (AUVs), as well as stringent government regulations and guidelines governing maritime safety and environmental protection, are creating a positive market outlook. Other factors driving market growth include the rise of the maritime tourist industry and the increased demand for precise seabed mapping for recreational activities. The rising demand for hydrographic survey equipment is enabling the market grow at a CAGR of 5.97% from 2024 to 2031.

Hydrographic Survey Equipment Market: Definition/ Overview

Hydrographic survey is the science of measuring and describing the elements that influence dredging, offshore oil exploration/drilling, maritime navigation, marine construction, and other operations. It focuses on soundings, shorelines, tides, currents, seabed, and submerged impediments that are relevant to the aforementioned operations. Hydrographic survey equipment is used to map and measure the physical properties of water bodies like oceans, rivers, and lakes. It is critical for many businesses, including offshore oil and gas development, navigation, and environmental monitoring. Sonar, global positioning systems (GPS), and other sensors are commonly used to precisely assess water depth, current speed, and underwater structures.

The basic goals of hydrographic survey equipment are to measure tides for the sea shore, with applications in the development of sea defense works and harbors. Data can also be utilized to create leveling dams to reduce sounding and to determine bed depth. The hydrographic survey can also identify navigational soundings, rock and sand bar locations, and underwater excavation volumes. Hydrographic survey equipment is used in irrigation and land drainage schemes to determine the direction of current in relation to the position of the sewer, to measure the quantity of water, and to regulate floods.

The ability of hydrographic survey technology to capture many data points in a single survey and process them as needed with the necessary classification creates business potential for the industry. To promote industrial proliferation, numerous technologies and hardware are combined, including improved deep-sea cameras, robust transmitters and receivers, powerful processing units enabling artificial intelligence, and machine learning capabilities, with existing hydrographic survey equipment. These linkages enable survey equipment to capture significantly more extensive and precise data. Strong computation capabilities enable survey trucks to handle data instantly and convey critical information, hence improving operating efficiency.

ACI ASQ Survey Automation Market Outlook

According to our latest research, the ACI ASQ Survey Automation market size reached USD 2.18 billion in 2024, reflecting robust adoption across diverse industry verticals. The market is projected to grow at a CAGR of 11.2% during the forecast period, reaching a value of USD 5.54 billion by 2033. This remarkable growth is primarily driven by the increasing need for automated survey solutions to streamline feedback collection, enhance data accuracy, and deliver actionable insights for organizations worldwide.

One of the primary growth factors fueling the expansion of the ACI ASQ Survey Automation market is the accelerating digital transformation across industries. Organizations are transitioning from manual survey processes to automated platforms to improve efficiency, reduce human error, and achieve faster turnaround times. The integration of advanced analytics and artificial intelligence within survey automation tools enables real-time data processing, sentiment analysis, and predictive insights. This evolution is particularly significant in sectors such as BFSI, healthcare, and retail, where timely and accurate feedback is essential for decision-making and customer satisfaction. Furthermore, the proliferation of mobile devices and cloud-based solutions has made survey automation accessible to a broader audience, driving widespread adoption.

Another pivotal driver is the growing emphasis on customer experience and employee engagement. Companies are increasingly recognizing the value of continuous feedback loops to refine their products, services, and internal processes. Automated survey solutions facilitate seamless distribution, collection, and analysis of feedback from customers and employees alike. This capability is crucial in today’s highly competitive landscape, where understanding stakeholder sentiment can be a key differentiator. The ability to customize surveys, automate reminders, and generate real-time dashboards empowers organizations to respond proactively to feedback, thereby fostering loyalty and enhancing organizational performance.

Regulatory compliance and auditing requirements are also contributing to the growth of the ACI ASQ Survey Automation market. Industries such as healthcare, BFSI, and government are subject to stringent compliance standards that necessitate regular audits and surveys. Automated solutions help organizations maintain comprehensive records, ensure data integrity, and streamline reporting processes, thereby reducing the burden of manual documentation. The rising complexity of regulatory frameworks worldwide is prompting organizations to invest in advanced survey automation tools to mitigate risks and demonstrate adherence to industry standards.

From a regional perspective, North America dominates the ACI ASQ Survey Automation market, accounting for the largest revenue share in 2024. This leadership position is attributed to the early adoption of digital technologies, a mature IT infrastructure, and a strong focus on innovation among enterprises in the region. Europe follows closely, driven by stringent regulations and a growing emphasis on data-driven decision-making. Meanwhile, the Asia Pacific region is expected to witness the highest growth rate over the forecast period, propelled by rapid urbanization, expanding digital ecosystems, and increasing investments in enterprise automation solutions. Latin America and the Middle East & Africa are also emerging as promising markets, supported by government initiatives to digitize public services and enhance organizational efficiency.

Component Analysis

The ACI ASQ Survey Automation market is segmented by component into software and services, both of which play a vital role in the ecosystem. The software segment holds the largest market share, driven by the increasing demand for robust, user-friendly platforms that enable organizations to design, distribute, and analyze surveys efficiently. Modern survey automation software incorporates features such as customizable templates, advanced analytics, AI-drive

BackgroundThis study aims to conduct an examination of GPT-4’s tendencies when confronted with ethical dilemmas, as well as to ascertain their ethical limitations within clinical decision-makings.MethodsEthical dilemmas were synthesized and organized into 10 different scenarios. To assess the responses of GPT-4 to these dilemmas, a series of iterative and constrained prompting methods were employed. Custom questionnaire analysis and principal adherence analysis were employed to evaluate the GPT-4-generated responses. Questionnaire analysis was used to assess GPT-4’s ability to provide clinical decision-making recommendations, while principal adherence analysis evaluated its alignment with to ethical principles. Error analysis was conducted on GPT-4-generated responses.ResultsThe questionnaire analysis (5-point Likert scale) showed GPT-4 achieving an average score of 4.49, with the highest scores in the Physical Disability scenario (4.75) and the lowest in the Abortion/Surrogacy scenario (3.82). Furthermore, the principal adherence analysis showed GPT-4 achieved an overall consistency rate of 86%, with slightly lower performance (60%) observed in a few specific scenarios.ConclusionAt the current stage, with the appropriate prompt techniques, GPT-4 can offer proactive and comprehensible recommendations for clinical decision-making. However, GPT-4 exhibit certain errors during this process, leading to inconsistencies with ethical principles and thereby limiting its deeper application in clinical practice.