The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. With a share of 45 percent, the software segment would become the large big data market segment by 2027.

What is Big data?

Big data is a term that refers to the kind of data sets that are too large or too complex for traditional data processing applications. It is defined as having one or some of the following characteristics: high volume, high velocity or high variety. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets.

Big data analytics

Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate new business insights. The global big data and business analytics market was valued at 169 billion U.S. dollars in 2018 and is expected to grow to 274 billion U.S. dollars in 2022. As of November 2018, 45 percent of professionals in the market research industry reportedly used big data analytics as a research method.

Childcare System Market size was valued at USD 1.4 Billion in 2024 and is projected to reach USD 6.8 Billion by 2031, growing at a CAGR of 30% during the forecast period 2024-2031.

Major factors that are driving the market growth include a decrease in child mortality rate, increasing labor force participation of women, and positive government initiatives. Governments have a significant role in driving revenues for the global Childcare System Market. The implementation of stringent regulations by governments, coupled with increased funding to daycare centers, has helped parents, especially from low-income families. One of the major factors driving the growth of the Childcare System Market is the rise in the working women population. Changes in lifestyle as well as standard of living especially in developing economies have seen a surge in the women working for the population.

Global Childcare System Market Definition

Childcare system software is a tool that helps in managing the daily operations of daycare centers or preschools to save childcare time and make work and life easier. It is specifically designed for child care centers and other similar child-oriented facilities. The software supports, guides, and automates administrative tasks like parents’ contact information database, scheduled appointments, attendance records, and children’s health data management. The Childcare system saves time for childcare centers or pre-schools by automating administrative tasks such as invoicing, reporting, and admissions.

Most childcare software is interconnected with social media tools so that childcare centers can communicate with parents on social media through the software. For instance, Procare is a popular childcare software, which stores information regarding the child and their family. Childcare software can be either operated from local computers or via mobile if it has been given access to other systems running somewhere else. The system is mainly used to increase staff productivity by storing information regarding the child and family.

Early child care is an equally important and often overlooked component of child development. Child care providers can be children’s first teachers and therefore play an integral role in systems of early childhood education. Quality care from a young age can have a substantial impact on the future successes of children. The main focus of the childcare system is on the development of the child, whether that be mental, social, or psychological.

Growing Demand for Childcare Services: Increasing workforce participation and changing family structures drive the need for childcare solutions.

Technological Advancements: Adoption of digital tools for managing enrollment, scheduling, and communication streamlines childcare operations.

Regulatory Compliance: Stringent regulations regarding safety, staffing ratios, and educational standards necessitate the adoption of comprehensive childcare systems.

Focus on Early Childhood Education: Rising awareness of the importance of early childhood education fuels demand for systems that support educational programming and developmental tracking.

Shift towards Flexible and Remote Work: The trend towards remote work increases the demand for flexible childcare options, driving the need for systems that enable remote monitoring and communication between parents and caregivers.

The number of small and medium-sized enterprises in Germany was forecast to continuously increase between 2024 and 2029 by in total 0.8 thousand enterprises (+0.38 percent). According to this forecast, in 2029, the number will have increased for the sixth consecutive year to 212.45 thousand enterprises. According to the OECD an enterprise is defined as the smallest combination of legal units, which is an organisational unit producing services or goods, that benefits from a degree of autonomy with regards to the allocation of resources and decision making. Shown here are small and medium-sized enterprises, which are defined as companies with 1-249 employees.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the number of small and medium-sized enterprises in countries like Austria and Switzerland.

Abstract

This research was conducted in Mexico between August 2010 and June 2011 as part of the Latin America and Caribbean (LAC) Enterprise Survey 2010, an initiative of the World Bank. Data from 1480 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses.

The objective of the study is to obtain feedback from enterprises in client countries on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through face-to-face interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

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.

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 study was conducted using stratified random sampling. Three levels of stratification were used in the sample: firm sector, firm size, and geographic region.

Industry stratification was designed in the following way: the universe was stratified into seven manufacturing industries and one "other" manufacturing category, - two services categories, retail and IT, and one "other" services category. Each of the manufacturing categories had a target of 160 interviews; the "other" manufacturing category and the three services categories all had targets of 120 interviews.

Size stratification was defined following the standardized definition for the Enterprise Surveys: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not a common practice, except in the sectors of construction and agriculture.

Regional stratification was defined in eight locations (city and the surrounding business area): Mexico City, Estado de Mexico (MAMC), Guadalajara, Monterrey, Puebla, Monclova, Veracruz, and Leon.

Ciudad Juarez and Coahuila, which were included in the 2006 round of the Enterprise Surveys, were omitted in 2010 due to security concerns.

For Mexico, two sample frames were used. The first was supplied by the World Bank and consists of enterprises interviewed in Mexico 2006. The World Bank required that attempts should be made to re-interview establishments responding to the Mexico 2006 survey where they were within the selected geographical locations and met eligibility criteria. That sample is referred to as the Panel. The second sample frame was produced from the 2009 Economic Census of INEGI (Instituto Nacional de Geografía e Informática), the national bureau of statistics.

INEGI's database uses the SCIAN 2007 classification for economic activities while the Enterprise Surveys are based on the ISIC classification. Therefore, a conversion between the two classifications was made.

The two sample frames were then used for the selection of a sample with the aim of obtaining interviews with 1,600 establishments with five or more employees.

The quality of the frame was assessed at the outset of the project through visits to a random subset of firms and local contractor knowledge. The sample frame was not immune from the typical problems found in establishment surveys: positive rates of non-eligibility, repetition, non-existent units, etc. In addition, the sample frame contained no telephone/fax numbers so the local contractor had to screen the contacts by visiting them. Due to response rate and ineligibility issues, additional sample had to be extracted by the World Bank in order to obtain enough eligible contacts and meet the sample targets.

Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 12.55% (1079 out of 8600).

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instruments are available: - Core Questionnaire [ISIC Rev.3.1: 45, 50, 51, 52, 55, 60-64, 72]; - Core Questionnaire + Manufacturing Module [ISIC Rev.3.1: 15-37]; - Core Questionnaire + Retail Module [ISIC Rev.3.1: 52]; - Screener Questionnaire.

The "Core Questionnaire" is the heart of the Enterprise Survey and contains the survey questions asked of all firms across the world. There are also two other survey instruments - the "Core Questionnaire + Manufacturing Module" and the "Core Questionnaire + Retail Module." The survey is fielded via three instruments in order to not ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth.

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. The questionnaire also assesses 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

The number of realized interviews per contacted establishment was 0.17. The estimate is based on the total number of firms contacted including ineligible establishments. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.29.

Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of Mexico ES 2010 Implementation" in external resources.

Abstract

The documented dataset covers Enterprise Survey (ES) panel data collected in Zambia in 2007 and 2013, as part of Africa Enterprise Surveys roll-out, an initiative of the World Bank.

Zambia ES 2013 was conducted between December 2012 and February 2014, Zambia ES 2007 was carried out in October and November 2007. The objective of the Enterprise Survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

Stratified random sampling was used to select the surveyed businesses. The data was collected using face-to-face interviews.

Data from 1,204 establishments was analyzed: 568 businesses were from 2013 ES only, 332 - from 2007 ES only, and 304 firms were from both 2007 and 2013 panels.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs and 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 percent of the questions objectively measure 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.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is an 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 private 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. Companies with 100% government ownership are not eligible to participate in the Enterprise Surveys.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for Zambia ES 2013 was selected using stratified random sampling. Three levels of stratification were used in this country: firm sector, firm size, and geographic region.

Industry stratification was designed in the way that follows: the universe was stratified into four manufacturing industries (food, textiles and garments, chemicals and plastics, other manufacturing) and two service sectors (retail and other services).

Size stratification was defined following the standardized definition for the Enterprise Surveys: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees).

Regional stratification for the Zambia ES was defined in five regions: Kitwe, Livingstone, Lusaka, and Ndola.

One of the sampling frames for Zambia ES 2013 consisted of enterprises interviewed in Zambia 2007. The World Bank required that attempts should be made to re-interview establishments responding to the Zambia 2007 survey where they were within the selected geographical regions and met eligibility criteria. Due to the fact that the previous round of surveys seemed to have utilized different stratification criteria (or no stratification at all) and due to the prevalence of small firms and firms located in the capital city in the 2007 sample the following convention was used. The presence of panel firms was limited to a maximum of 50% of the achieved interviews in each cell. That sample is referred to as the Panel.

The sample for Zambia ES 2007 was drawn from a master list obtained by compiling two different updates of a list of establishments provided by Central Statistical Office. During the survey period, the master list was updated as new information regarding establishments that had closed or were out-of-scope was gathered and other establishments were added. The final population size in all strata and locations was 3,336.

The 2007 survey included panel data collected from establishments surveyed in 2003. That survey included establishments in all four manufacturing strata distributed across the entire country. In order to collect the largest possible set of panel data, an attempt was made to contact and survey every establishment in the panel, provided it was located in one of the four cities covered by this survey, it operated in the universe under study, and that the number of panel firms of a certain size in a given industry in a given city did not exceed the number of establishments in the corresponding sample structure. The remainder of the sample (including the entire rest of universe and retail sample in each city) was selected at random from the master list by a computer program.

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments were used for Zambia ES 2013: - Manufacturing Module Questionnaire - Services Module Questionnaire

The survey is fielded via manufacturing or services questionnaires in order not to ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth. There is a skip pattern in the Service Module Questionnaire for questions that apply only to retail firms.

The following survey instruments were used for Zambia ES 2007: - Core Questionnaire + Manufacturing Module; - Core Questionnaire + Retail Module; - Core Questionnaire.

Most of the questions in all three questionnaires are the same. The "Core Questionnaire" is the heart of the Enterprise Survey and contains the survey questions asked of all firms across the world. There are also two other survey instruments - the "Core Questionnaire + Manufacturing Module" and the "Core Questionnaire + Retail Module." The survey is fielded via three instruments in order to not ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth.

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

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect "Refusal to respond" (-8) as a different option from "Don't know" (-9). b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.

Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.