As of 2023, nearly 92 percent of digital leaders globally stated that their companies adopted cloud technology either on small or large scale. Big data/ analytics were the second most popular adopted technology with around 61 percent of respondents reporting the same. Artificial intelligence/ machine learning At the same time, 26 percent of respondents were considering using Artificial intelligence (AI) / machine learning (ML) technology, while 24 percent said that their companies were piloting the implementation AI/ML technology.

What is cloud computing?  

Cloud computing refers to the use of networks of remote servers accessed over the internet to store, manage, and process data. It offers customers access to a wide range of technologies while lowering costs and reducing the need for technical expertise. The cloud service market is divided into three primary service models encompassing infrastructure, platforms, and software. Customers are able to choose between private, public, or hybrid cloud deployment depending on their business needs and security concerns.

SaaS: the most widely adopted cloud solutions    

In line with increases in companies’ adoption of cloud computing technologies, the worldwide revenue generated from these technologies has increased rapidly in recent years. Software as a Service (SaaS) is the largest segment of the global cloud computing market with revenues forecast to be around 197 billion U.S. dollars in 2023. Popular applications of SaaS include customer relationship management and enterprise resource planning software.

These statistics provide an analysis of the government financing of SET activities in the UK, describe the relationship between the funders and performers of Research and Development (R&D) in the UK (government, higher education, business enterprise, charities and overseas), report on business enterprise R&D expenditure.

Source agency: Office for National Statistics

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: SET

Educational Technology in Public Schools, 2008 (FRSS 92), is a study that is part of the Fast Response Survey System (FRSS) program; program data is available since 1998-99 at . FRSS 92 (https://nces.ed.gov/surveys/frss/) is a sample survey that provides national estimates on the availability and use of educational technology in public elementary and secondary schools during fall 2008. This is one of a set of three surveys (at the district, school, and teacher levels) that collected data on a range of educational technology resources. The study was conducted using mailed questionnaires and respondents had the option of completing the survey via the web. Schools were sampled. The study's weighted response rate was 79 percent. Key statistics produced from FRSS 92 were information on computer hardware and internet access, availability of staff to help integrate technology into instruction and provide timely technical support, and perceptions of educational technology issues at the school and district levels. Respondents reported the number of instructional computers within their schools, by type, mobility, and location. The survey also asked respondents about the types of operating systems or platforms used on instructional computers. Data on the number of handheld devices provided to school personnel and students, and the number of other technology devices provided for instructional purposes were also collected. Respondents indicated the extent to which technology staff provided assistance with technology support and integration and the response times for obtaining such support. Respondents gave opinions on statements related to using educational technology in their schools.

Among those surveyed, 65 percent reported that artificial intelligence will have the most impact on health care, whereas only two percent indicated that robotics will have the greatest impact. This statistic shows the technologies predicted to have the greatest impact on health care in the future, as of 2020.

Big Data Technologies Market is Segmented by Delivery Mode (On-Premise, Cloud), End-User Vertical (Telecom & IT, Energy & Power, BFSI, Retail, Manufacturing, Transportation & Logistics, Aerospace & Defense, Media & Entertainment, Engineering & Construction, Healthcare & Pharmaceuticals), and Geography (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa). The Report Offers Market Forecasts and Size in Value (USD) for all the Above Segments.

This layer shows Technology Access by Household. Data is from US Census American Community Survey (ACS) 5-year estimates.This layer represents the underlying data for several data visualizations on the Tempe Equity Map.Data visualized as a percent of total households in given census tract.Layer includes:Key demographicsTotal Households % With a Desktop or Laptop Computer% With only a Desktop or Laptop% With a Smartphone% With only a Smartphone% With a Tablet% With only a tablet% With other type of computing device% With other type of computing device only% No computerCurrent Vintage: 2017-2021ACS Table(s): S2801 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of Census update: Dec 8, 2022Data Preparation: Data table downloaded and joined with Census Tract boundaries that are within or adjacent to the City of Tempe boundaryNational Figures: data.census.gov

Introduction

Medical Technology and Innovation Statistics: In recent years, there has been a remarkable acceleration in the pace of medical technology advancements. These are driven by factors such as technological advancements, increased funding for research and development, and the growing demand for innovative solutions to address healthcare challenges.

These advancements have the potential to revolutionize various aspects of healthcare delivery, from diagnostics and treatment to patient monitoring and disease prevention.

The statistic shows the total technology spending worldwide from 2014 to 2019. In 2018, the global tech spending is forecast to amount to 3,212 billion U.S. dollars. The global technology market includes telecom services, tech outsourcing and hardware maintenance, tech consulting and systems integration services, software, communications equipment, and computer equipment.

EDFacts Techonology, 2010-11 (EDFacts Tech:2010-11), is one of 17 'topics' identified in the EDFacts documentation (in this database, each 'topic' is entered as a separate study). EDFacts Tech:2010-11 (ed.gov/about/inits/ed/edfacts) annually collects cross-sectional data from states about techonology education at the school, Local Education Agency, and State Education Agency levels. Key statistics produced from EDFacts Tech:2010-11 are from four data groups with information on 8th Grade Techonology Literacy, Internet Access, Integrated Technology Status, and Personnel Skilled in Technology. For the purposes of this system, data groups are referred to as 'variables', as a result of the structure and format of EDFacts' data.

Annual statistics of approved projects of Innovation and Technology Fund among technology sectors

Graph and download economic data for Future Technology Spending; Percent Expecting Decreases for New York (DISCONTINUED) (TSFDNA156MNFRBNY) from Jul 2001 to May 2024 about information technology, expenditures, NY, percent, and manufacturing.

The School of Education at the University of Cape Town (UCT) investigated children’s learning through digital play. The aim of the study was to explore the intersection between child play, technology, creativity and learning among children aged between 3 and 11 years. The study also identified skills and dispositions children develop through both digital and non-digital play. The data shared emerged from a survey of parents of children in the stated age group, with particular reference to the parents views on children's play practices, including time parents spent playing with their children, concerns parents had on time children spend playing on various technologies, types of play children in South Africa engaged in and the concerns of parents when children played with some electronic devices. The following data files are shared:SA - Survey - Children, Technology and Play (CTAP) - Google Forms.pdfDescriptive Stats 2020.1.9 -Children Technology and Play SURVEY.xlsxParent Survey RAW PUBLIC DATA 2020.2.29 - Children Technology and Play Project.xlsxParent Survey RAW PUBLIC DATA 2020.2.29 - Children Technology and Play Project.csvParent Survey REPORT DATA 2020.2.29 - Children Technology and Play Project.xlsxParent Survey REPORT DATA 2020.2.29 - Children Technology and Play Project.csvParent Survey RAW and REPORT DATA SYNTAX 2020.2.29 - Children Technology and Play Project.spsNOTE: This survey was adapted from Marsh, J. Stjerne Thomsen, B., Parry, B., Scott, F. Bishop, J.C., Bannister, C., Driscoll, A., Margary, T., Woodgate, A., (2019) Children, Technology and Play. UK Survey Questions. LEGO Foundation.

The size and share of the market is categorized based on Application (Telecom, BFSI, Manufacturing, Transportation, Others) and Product (On-premise, Cloud-based, Market) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

Percentage of enterprises that use Information and Communication Technologies (ICT) by the North American Industry Classification System (NAICS) and size of enterprise. ICT consists of the hardware, software, networks and media for the collection, storage, processing, transmission and presentation of information (voice, data, text, images), as well as related services.

Abstract

Within the frame of PCBS' efforts in providing official Palestinian statistics in the different life aspects of Palestinian society and because the wide spread of Computer, Internet and Mobile Phone among the Palestinian people, and the important role they may play in spreading knowledge and culture and contribution in formulating the public opinion, PCBS conducted the Household Survey on Information and Communications Technology, 2014.

The main objective of this survey is to provide statistical data on Information and Communication Technology in the Palestine in addition to providing data on the following: -

· Prevalence of computers and access to the Internet. · Study the penetration and purpose of Technology use.

Geographic coverage

Palestine (West Bank and Gaza Strip) , type of locality (Urban, Rural, Refugee Camps) and governorate

Analysis unit

Household. Person 10 years and over .

Universe

All Palestinian households and individuals whose usual place of residence in Palestine with focus on persons aged 10 years and over in year 2014.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Frame The sampling frame consists of a list of enumeration areas adopted in the Population, Housing and Establishments Census of 2007. Each enumeration area has an average size of about 124 households. These were used in the first phase as Preliminary Sampling Units in the process of selecting the survey sample.

Sample Size The total sample size of the survey was 7,268 households, of which 6,000 responded.

Sample Design The sample is a stratified clustered systematic random sample. The design comprised three phases:

Phase I: Random sample of 240 enumeration areas. Phase II: Selection of 25 households from each enumeration area selected in phase one using systematic random selection. Phase III: Selection of an individual (10 years or more) in the field from the selected households; KISH TABLES were used to ensure indiscriminate selection.

Sample Strata Distribution of the sample was stratified by: 1- Governorate (16 governorates, J1). 2- Type of locality (urban, rural and camps).

Sampling deviation

-

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey questionnaire consists of identification data, quality controls and three main sections: Section I: Data on household members that include identification fields, the characteristics of household members (demographic and social) such as the relationship of individuals to the head of household, sex, date of birth and age.

Section II: Household data include information regarding computer processing, access to the Internet, and possession of various media and computer equipment. This section includes information on topics related to the use of computer and Internet, as well as supervision by households of their children (5-17 years old) while using the computer and Internet, and protective measures taken by the household in the home.

Section III: Data on persons (aged 10 years and over) about computer use, access to the Internet and possession of a mobile phone.

Cleaning operations

Preparation of Data Entry Program: This stage included preparation of the data entry programs using an ACCESS package and defining data entry control rules to avoid errors, plus validation inquiries to examine the data after it had been captured electronically.

Data Entry: The data entry process started on 8 May 2014 and ended on 23 June 2014. The data entry took place at the main PCBS office and in field offices using 28 data clerks.

Editing and Cleaning procedures: Several measures were taken to avoid non-sampling errors. These included editing of questionnaires before data entry to check field errors, using a data entry application that does not allow mistakes during the process of data entry, and then examining the data by using frequency and cross tables. This ensured that data were error free; cleaning and inspection of the anomalous values were conducted to ensure harmony between the different questions on the questionnaire.

Response rate

Response Rates= 79%

Sampling error estimates

There are many aspects of the concept of data quality; this includes the initial planning of the survey to the dissemination of the results and how well users understand and use the data. There are three components to the quality of statistics: accuracy, comparability, and quality control procedures.

Checks on data accuracy cover many aspects of the survey and include statistical errors due to the use of a sample, non-statistical errors resulting from field workers or survey tools, and response rates and their effect on estimations. This section includes:

Statistical Errors Data of this survey may be affected by statistical errors due to the use of a sample and not a complete enumeration. Therefore, certain differences can be expected in comparison with the real values obtained through censuses. Variances were calculated for the most important indicators.

Variance calculations revealed that there is no problem in disseminating results nationally or regionally (the West Bank, Gaza Strip), but some indicators show high variance by governorate, as noted in the tables of the main report.

Non-Statistical Errors Non-statistical errors are possible at all stages of the project, during data collection or processing. These are referred to as non-response errors, response errors, interviewing errors and data entry errors. To avoid errors and reduce their effects, strenuous efforts were made to train the field workers intensively. They were trained on how to carry out the interview, what to discuss and what to avoid, and practical and theoretical training took place during the training course. Training manuals were provided for each section of the questionnaire, along with practical exercises in class and instructions on how to approach respondents to reduce refused cases. Data entry staff were trained on the data entry program, which was tested before starting the data entry process.

Several measures were taken to avoid non-sampling errors. These included editing of questionnaires before data entry to check field errors, using a data entry application that does not allow mistakes during the process of data entry, and then examining the data by using frequency and cross tables. This ensured that data were error free; cleaning and inspection of the anomalous values were conducted to ensure harmony between the different questions on the questionnaire.

The sources of non-statistical errors can be summarized as: 1. Some of the households were not at home and could not be interviewed, and some households refused to be interviewed. 2. In unique cases, errors occurred due to the way the questions were asked by interviewers and respondents misunderstood some of the questions.

The Science, Engineering and Technology Indicators, or SET Statistics, are a summary of key indicators covering government financing of science, engineering and technology, research and development (R&D), employment of science graduates and postgraduates, and comparisons with other G7 countries. The statistics are prepared in collaboration with the Office for National Statistics.

Source agency: Business, Innovation and Skills

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: SET statistics

Financial overview and grant giving statistics of United States Information Technology Office Inc

This graph presents the results of a survey, conducted by BARC in 2014/15, into the current and planned use of technology for the analysis of big data. At the beginning of 2015, 13 percent of respondents indicated that their company was already using a big data analytical appliance for big data.

Nearly eight out of 10 respondents listed one particular type of payment technology as "essential" to win payment solutions in today's market. This is according to a survey held across payment industry seniors worldwide in the summer of 2024. Indeed, professionals identified instant payments as the main technology to drive growth in the payments industry. Open banking APIs and tokenization followed, with artificial intelligence ranking relatively low in comparison. Real estate is expected to become the largest type of tokenized asset in 2030, taking up nearly one-third of the overall market. Meanwhile, the number of open banking API calls in the UK reached an all-time high in 2024.

Abstract

This study is a two-stage survey that the World Bank conducted with the Enterprise Survey Organization of the Chinese National Bureau of Statistics. The first stage of the survey, carried out in 2001, covered 300 firms in each of five cities—Beijing, Chengdu, Guangzhou, Shanghai, and Tianjin—for a total of 1500 firms. The survey collected detailed information on different aspects of corporate governance, financing, firm-government relations, innovation, technology, and labor. Most quantitative questions covered the period 1997–2000; most qualitative questions covered only the time of the survey.

The second stage of the survey, conducted in 2001–2002, covered the same set of firms, though a small percentage had disappeared since the first survey. The questionnaire covered investment climate constraints on the establishment, infrastructure and services, finance, labor relations, sales and supplies, business-government relations, conflict resolution and the legal environment, crime, capacity, innovation, and learning.

Firm-level surveys have been conducted since 1998 by different units within the World Bank. Since 2005-06, most data collection efforts have been centralized within the Enterprise Analysis Unit (FPDEA), which implements Enterprise Surveys across all geographic regions.

Geographic coverage

National

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample consists of both manufacturing and service firms. The industries covered include electronic components, autos and auto parts, clothing and leather products, electronic and communication equipment, household electrical goods, information technology services , accounting, auditing, and nonbank financial services, business logistics services, advertising and marketing services, and communication services. Within the sample, firms vary substantially by size and by type of ownership. The samples were randomly chosen given a predetermined distribution by city and broad industry and size strata.

An important caveat: the survey covers the five major cities of Beijing, Chengdu, Guangzhou, Shanghai, and Tianjin, so the results should be interpreted as showing information about the investment climate only in these cities.

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instrument is available: - Study of Competitiveness, Technology & Firm Linkages Questionnaire (Second stage, 2001-2002) and Productivity and the Investment Climate Private Enterprise Survey Questionnaire (First stage, 2001)