The gross value added generated from the services industry in the Philippines amounted to approximately 14 trillion Philippine pesos in 2024. A large proportion of this came from the wholesale and retail trade, with a gross value added of around 4.1 trillion Philippine pesos.

In 2020, the share of employed people working in the services industry in the Philippines reached 56.9 percent, reflecting a slight decrease from the previous year. The wholesale and retail trade segment accounted for majority of the employment share.

Philippines GDP: Service Sector: Other Services data was reported at 1,553,521.271 PHP mn in 2017. This records an increase from the previous number of 1,425,022.776 PHP mn for 2016. Philippines GDP: Service Sector: Other Services data is updated yearly, averaging 666,368.045 PHP mn from Dec 1998 (Median) to 2017, with 20 observations. The data reached an all-time high of 1,553,521.271 PHP mn in 2017 and a record low of 296,844.004 PHP mn in 1998. Philippines GDP: Service Sector: Other Services data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.A007: SNA 2008: Gross Domestic Product: by Industry: Current Price: Annual.

The Philippines Foodservice Market is segmented by Foodservice Type (Cafes & Bars, Cloud Kitchen, Full Service Restaurants, Quick Service Restaurants), by Outlet (Chained Outlets, Independent Outlets) and by Location (Leisure, Lodging, Retail, Standalone, Travel). Market Value in USD is presented. Key data points observed include the number of outlets for each foodservice channel; and, average order value in USD by foodservice channel.

This statistic shows the share of economic sectors in the gross domestic product (GDP) in the Philippines from 2013 to 2023. In 2023, the share of agriculture in the Philippines' gross domestic product was 9.4 percent, industry contributed approximately 28.18 percent and the services sector contributed about 62.42 percent.

Philippines GDP: SS: Accommodation & Food Service Activities data was reported at 164,160.321 PHP mn in Dec 2024. This records an increase from the previous number of 133,090.772 PHP mn for Sep 2024. Philippines GDP: SS: Accommodation & Food Service Activities data is updated quarterly, averaging 44,292.167 PHP mn from Mar 2000 (Median) to Dec 2024, with 100 observations. The data reached an all-time high of 164,198.985 PHP mn in Mar 2024 and a record low of 14,143.250 PHP mn in Jun 2000. Philippines GDP: SS: Accommodation & Food Service Activities data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.A008: PSNA 5th Revision: Gross Domestic Product: by Industry: Current Price.

GDP from Services in Philippines increased to 3841361.67 PHP Million in the fourth quarter of 2024 from 3497684.72 PHP Million in the third quarter of 2024. This dataset provides - Philippines Gdp From Services- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Philippines GDP: SS: Professional & Business Services data was reported at 456,692.464 PHP mn in Dec 2024. This records an increase from the previous number of 439,352.723 PHP mn for Sep 2024. Philippines GDP: SS: Professional & Business Services data is updated quarterly, averaging 133,582.112 PHP mn from Mar 2000 (Median) to Dec 2024, with 100 observations. The data reached an all-time high of 456,692.464 PHP mn in Dec 2024 and a record low of 14,254.047 PHP mn in Mar 2000. Philippines GDP: SS: Professional & Business Services data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.A008: PSNA 5th Revision: Gross Domestic Product: by Industry: Current Price.

The export value of services in the Philippines amounted to approximately 41 billion U.S. dollars in 2022. Across sectors, other business services accounted for the highest value of exported services at 21.5 billion Philippine pesos. Meanwhile, telecommunication, computer, and information services had an export value of approximately 6.8 billion U.S. dollars in the same year.

Philippines GDP: NCR: 1985p: Service Sector: Private Services data was reported at 75,804.302 PHP mn in 2009. This records an increase from the previous number of 71,007.083 PHP mn for 2008. Philippines GDP: NCR: 1985p: Service Sector: Private Services data is updated yearly, averaging 49,645.463 PHP mn from Dec 1998 (Median) to 2009, with 12 observations. The data reached an all-time high of 75,804.302 PHP mn in 2009 and a record low of 35,984.647 PHP mn in 1998. Philippines GDP: NCR: 1985p: Service Sector: Private Services data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.A061: SNA 1968/1993: Regional Gross Domestic Product: by Industry: 1985 Price.

The Philippine Data Center Physical Security Market Report is Segmented by Solution Type (Video Surveillance and Access Control Solutions), Service Type (Consulting Services and Professional Services), and End User (IT & Telecommunication, BFSI, Government, Media & Entertainment, and Other End User). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

Philippines GDP: CAR: 1985p: Service Sector: Government Services data was reported at 1,276.965 PHP mn in 2009. This records an increase from the previous number of 1,221.113 PHP mn for 2008. Philippines GDP: CAR: 1985p: Service Sector: Government Services data is updated yearly, averaging 1,088.826 PHP mn from Dec 1998 (Median) to 2009, with 12 observations. The data reached an all-time high of 1,276.965 PHP mn in 2009 and a record low of 890.156 PHP mn in 1998. Philippines GDP: CAR: 1985p: Service Sector: Government Services data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.A061: SNA 1968/1993: Regional Gross Domestic Product: by Industry: 1985 Price.

Philippines GDP: Cagayan Valley: 1985p: Service Sector: Private Services data was reported at 375.144 PHP mn in 2009. This records an increase from the previous number of 358.426 PHP mn for 2008. Philippines GDP: Cagayan Valley: 1985p: Service Sector: Private Services data is updated yearly, averaging 314.780 PHP mn from Dec 1998 (Median) to 2009, with 12 observations. The data reached an all-time high of 375.144 PHP mn in 2009 and a record low of 257.787 PHP mn in 1998. Philippines GDP: Cagayan Valley: 1985p: Service Sector: Private Services data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.A061: Regional Gross Domestic Product: by Industry: SNA 1968/1993: 1985 Price.

Philippines GDP: Central Luzon: 1985p: Service Sector: Trade data was reported at 18,328.205 PHP mn in 2009. This records an increase from the previous number of 18,247.559 PHP mn for 2008. Philippines GDP: Central Luzon: 1985p: Service Sector: Trade data is updated yearly, averaging 14,677.178 PHP mn from Dec 1998 (Median) to 2009, with 12 observations. The data reached an all-time high of 18,328.205 PHP mn in 2009 and a record low of 12,011.090 PHP mn in 1998. Philippines GDP: Central Luzon: 1985p: Service Sector: Trade data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.A061: Regional Gross Domestic Product: by Industry: SNA 1968/1993: 1985 Price.

Philippines GDP: Ilocos Region: 1985p: Service Sector: Private Services data was reported at 2,290.230 PHP mn in 2009. This records an increase from the previous number of 2,176.492 PHP mn for 2008. Philippines GDP: Ilocos Region: 1985p: Service Sector: Private Services data is updated yearly, averaging 1,765.434 PHP mn from Dec 1998 (Median) to 2009, with 12 observations. The data reached an all-time high of 2,290.230 PHP mn in 2009 and a record low of 1,485.135 PHP mn in 1998. Philippines GDP: Ilocos Region: 1985p: Service Sector: Private Services data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.A061: Regional Gross Domestic Product: by Industry: SNA 1968/1993: 1985 Price.

The Philippines Software-Defined Wide Area Network (SD-Wan) Market Report is Segmented by Offering (solutions (software, Equipment, Etc. ), and Services (consulting, Technical Support, Managed Services, Etc. )), by Organization Size (small and Medium Enterprises and Large Enterprises), and by End-User Industry (BFSI, IT & Telecom, Healthcare, Retail and E-Commerce, Manufacturing, and Others (construction & Real-Estate, Utilities, Transportation, Education, Etc. )). The Market Size and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

Abstract

This research was conducted in Philippines between May and December 2009 as part of the Enterprise Survey initiative.

The objective of the survey 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 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. The mode of data collection is face-to-face interviews.

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 Philippines was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and region.

Industry stratification was designed in the way that follows: the universe was stratified into 6 manufacturing industries, 1 services industry -retail -, and two residual sectors. Each manufacturing industry had a target of 160 interviews. The services industry and the two residual sectors had a target of 120 interviews. For the manufacturing industries sample sizes were inflated by about 33% to account for potential non-response cases when requesting sensitive financial data and also because of likely attrition in future surveys that would affect the construction of a panel. An additional 85 interviews were added to the survey half way through the fieldwork. Targets were adjusted such that the manufacturing sectors' targets were increased to 160-180 interviews.

Size stratification was defined following the standardized definition for the rollout: 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 four regions: National Capital Region excluding Manila; Manila; Region III; Region IV; and Metro-Cebu (Region VII). These are the largest population and economic centers of the Philippines. National Capital Region and Manila were split because of the large size of the National Capital Region. Metro-Cebu specifically was surveyed, rather than the whole of Region VII, for logistical reasons as this region is widespread and includes many remote and sparsely populated locations.

The sample frame used in the Philippines was obtained from the 2008 National Statistics Office of the Philippines (NSO) Register of Establishments. A key limitation in using this sample frame was the cost of access, which significantly limited the size of sample available for survey limitation. As a result of concerns over confidentiality, NSO also required that sample selection was done by 3 NSO in-house under instruction of the World Bank team in Washington D.C.This database contained the following information: -Name of the firm -Location -Contact details -ISIC code -Number of employees.

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 16% (319 out of 2022 establishments). Breaking down by industry, the following numbers of establishments were surveyed: 15 (Food) - 166, 18 (Garments) - 154, 24 (Chemicals) - 162, 25 (Plastic & Rubber) - 163, 26 (Non-metallic mineral products) - 151, 31 & 32 (Electronics) - 164, Other manufacturing - 122, Retail & IT - 117, Other services - 127.

Mode of data collection

Face-to-face [f2f]

Research instrument

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

Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of Philippines Implementation 2009" in "Technical Documents" folder.

The Philippines has a vibrant food service sector, with establishments ranging from street stalls and small roadside eateries or carinderia to fine dining restaurants. In 2023, the country’s food service industry generated revenues amounting to 12.47 billion U.S. dollars and was projected to increase by 36 percent to 17 billion U.S. dollars in 2027. Jollibee leads the food service sector Jollibee Foods Corporation (JFC) dominated the food service industry market, holding a share of nearly 30 percent. This translated to total sales amounting to approximately 2.53 billion U.S. dollars in 2021. JFC is a multinational company owning and franchising several fast-food restaurants such as Jollibee, Chowking, Greenwich, Red Ribbon, and Burger King, among others. Jollibee has been focusing on its international expansion since the easing of COVID-19 restrictions globally. The restaurant brand now has over 270 international branches in the United States, Canada, the Middle East, and Asia and has gradually expanded to cater to customers in Europe. Changing Filipino dining habits In-person dining habits were challenged in 2020 when the COVID-19 pandemic hit. Instead of dining in, most Filipinos turned to food delivery apps to satisfy their food cravings. Even after restrictions eased, a recent survey revealed that Filipinos planned to continue ordering food from these apps due to their convenience and to limit social contact. Between 2020 and 2021, the share of online food service orders grew rapidly, although it remains fewer than offline orders.

Abstract

This survey was conducted in Philippines between November 2014 and May 2016, as part of the Enterprise Survey project, an initiative of the World Bank. The objective of the 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. Only registered businesses are surveyed in the Enterprise Survey.

Data from 1,335 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses. The data was collected using face-to-face interviews.

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

Metro Manila, NCR excluding Manila, Metro Cebu, Central Luzon, and Calabarzon

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 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 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 was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and region.

Industry stratification was designed in the way that follows: the universe was stratified into five manufacturing industries and two services industries: Food and Beverages (ISIC Rev. 3.1 code 15), Garments (ISIC code 18), Non-metallic mineral products (ISIC code 26), Fabricated metal products (ISIC code 28), Other Manufacturing (ISIC codes 16,17, 19-25, 27, 29-37), Retail (ISIC code 52) and Other Services (ISIC codes 45, 50, 51, 55, 60-64, and 72).

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

Regional stratification for the Philippines ES was done across five regions: Metro Manila, NCR excluding Manila, Metro Cebu, Central Luzon, and Calabarzon.

The sample frame consisted of listings of firms from two sources: First, for panel firms the list of 1326 firms from the Philippines 2009 ES was used. Second, for fresh firms (i.e., firms not covered in 2009), economic census data from Philippines Statistics Authority (PSA) was used.

The quality of the frame was enhanced by the verification process conducted by OIJ Business Partners. However, the sample frame was not immune from the typical problems found in establishment surveys: positive rates of non-eligibility, repetition, non-existent units, etc.

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 3.7% (135 out of 3,649 establishments).

Mode of data collection

Face-to-face [f2f]

Research instrument

The structure of the data base reflects the fact that two different versions of the survey instrument were used for all registered establishments. Questionnaires have common questions (core module) and respectfully additional manufacturing- and services-specific questions. The eligible manufacturing industries have been surveyed using the Manufacturing questionnaire (includes the core module, plus manufacturing specific questions). Retail firms have been interviewed using the Services questionnaire (includes the core module plus retail specific questions) and the residual eligible services have been covered using the Services questionnaire (includes the core module). Each variation of the questionnaire is identified by the index variable, a0.

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.

The number of interviews per contacted establishments was 0.36. 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 0.34.

Philippines GDP: NCR: 1985p: Service Sector: Government Services data was reported at 26,351.163 PHP mn in 2009. This records an increase from the previous number of 24,873.239 PHP mn for 2008. Philippines GDP: NCR: 1985p: Service Sector: Government Services data is updated yearly, averaging 22,101.387 PHP mn from Dec 1998 (Median) to 2009, with 12 observations. The data reached an all-time high of 26,351.163 PHP mn in 2009 and a record low of 21,145.933 PHP mn in 2002. Philippines GDP: NCR: 1985p: Service Sector: Government Services data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.A061: SNA 1968/1993: Regional Gross Domestic Product: by Industry: 1985 Price.