This statistic shows the share of economic sectors in the gross domestic product (GDP) in Peru from 2013 to 2023. In 2023, the share of agriculture in Peru's gross domestic product was 7.19 percent, industry contributed approximately 33.86 percent and the services sector contributed about 51.33 percent.

As of 2023, Lima's manufacturing industry reported a GDP of 41 billion Peruvian Soles out of 245 billion. In general, the services industry was the biggest contributor to the department of Lima's economy.

The Gross Domestic Product (GDP) in Peru was worth 289.22 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Peru represents 0.27 percent of the world economy. This dataset provides the latest reported value for - Peru GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In 2023, state owned oil corporation Petróleos del Perú S.A. (Petroperú) ranked fourth among the leading companies in the country, with a revenue of nearly ***** billion Peruvian Solares. Another oil campany, Refinería La Pampilla S.A.A., owned by Repsol Group, lead the ranking in Peru, with sales revenue amounting to ***** billion Peruvian Solares in 2023.

Peru PE: GDP: % of Manufacturing: Chemicals data was reported at 9.613 % in 2011. This records a decrease from the previous number of 10.287 % for 2010. Peru PE: GDP: % of Manufacturing: Chemicals data is updated yearly, averaging 9.827 % from Dec 1974 (Median) to 2011, with 33 observations. The data reached an all-time high of 14.020 % in 1981 and a record low of 8.441 % in 1991. Peru PE: GDP: % of Manufacturing: Chemicals data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Peru – Table PE.World Bank.WDI: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Chemicals correspond to ISIC division 24.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;

Peru PE: Claims on Other Sectors of The Domestic Economy: Annual Growth as % of Broad Money data was reported at 21.839 % in 2017. This records an increase from the previous number of 19.337 % for 2016. Peru PE: Claims on Other Sectors of The Domestic Economy: Annual Growth as % of Broad Money data is updated yearly, averaging 48.858 % from Dec 2007 (Median) to 2017, with 11 observations. The data reached an all-time high of 107.626 % in 2008 and a record low of 15.860 % in 2009. Peru PE: Claims on Other Sectors of The Domestic Economy: Annual Growth as % of Broad Money data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Peru – Table PE.World Bank.WDI: Bank Loans. Claims on other sectors of the domestic economy (IFS line 32S..ZK) include gross credit from the financial system to households, nonprofit institutions serving households, nonfinancial corporations, state and local governments, and social security funds.; ; International Monetary Fund, International Financial Statistics and data files.; ;

Graph and download economic data for Market Capitalization Outside of Top 10 Largest Companies to Total Market Capitalization for Peru (DDAM02PEA156NWDB) from 1998 to 2020 about Peru, market cap, companies, and stock market.

Peru PE: GDP: % of Manufacturing: Food, Beverages and Tobacco data was reported at 32.457 % in 2011. This records an increase from the previous number of 29.574 % for 2010. Peru PE: GDP: % of Manufacturing: Food, Beverages and Tobacco data is updated yearly, averaging 26.432 % from Dec 1974 (Median) to 2011, with 33 observations. The data reached an all-time high of 33.902 % in 2002 and a record low of 19.536 % in 1985. Peru PE: GDP: % of Manufacturing: Food, Beverages and Tobacco data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Peru – Table PE.World Bank: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Food, beverages, and tobacco correspond to ISIC divisions 15 and 16.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;

Peru PE: GDP: % of Manufacturing: Textiles and Clothing data was reported at 10.297 % in 2011. This records an increase from the previous number of 10.051 % for 2010. Peru PE: GDP: % of Manufacturing: Textiles and Clothing data is updated yearly, averaging 12.000 % from Dec 1974 (Median) to 2011, with 33 observations. The data reached an all-time high of 15.858 % in 2003 and a record low of 7.532 % in 1994. Peru PE: GDP: % of Manufacturing: Textiles and Clothing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Peru – Table PE.World Bank: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Textiles and clothing correspond to ISIC divisions 17-19.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;

Peru New Corporate Loans: Manufacturing Industry: Number of New Loans Disbursed data was reported at 53,558.000 Number in Mar 2020. This records a decrease from the previous number of 58,162.000 Number for Feb 2020. Peru New Corporate Loans: Manufacturing Industry: Number of New Loans Disbursed data is updated monthly, averaging 58,950.500 Number from Jul 2010 (Median) to Mar 2020, with 116 observations. The data reached an all-time high of 333,720.000 Number in Jun 2016 and a record low of 46,465.000 Number in Jan 2011. Peru New Corporate Loans: Manufacturing Industry: Number of New Loans Disbursed data remains active status in CEIC and is reported by Superintendency of Banks, Insurance and Pension Funds. The data is categorized under Global Database’s Peru – Table PE.KB015: Commercial Banks: New Corporate Loans: by Main Economic Sectors.

Abstract

This research was conducted in Peru between April and October 2006 as part of the Latin America and the Caribbean Enterprise Survey 2006 initiative. 632 businesses were surveyed.

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 population was stratified into 3 manufacturing industries, one services industry - retail, and one residual sector. Each industry had a target of 120 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 purposed, the number of employees was defined on the basis of reported permanent full-time workers.

Regional stratification was defined the following way: Lima, Arequipa and Chiclayo.

The list of Top 10,000 Companies in Peru, which was updated in 2006 through studies conducted by a company DATUM International S.A., was the source of the sampling frame. The proportion of confirmed non-eligible units to the total number of contacts to complete the survey was 23%.

Additional information about sampling design can be found in "Sampling Report.xls", "Sampling Methodology" and "Latin America and the Caribbean Enterprise Survey 2006 Implementation Report" in "Technical documents" folder.

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.

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

Information about response rates, survey and item non-response can be found in "Latin America and the Caribbean Enterprise Survey 2006 Implementation Report" in "Technical documents" folder.

Secondary income, other sectors, payments of Peru went up by 3.00% from 321,549,531 US dollars in 2023 to 331,196,017 US dollars in 2024. Since the 49.32% drop in 2020, secondary income, other sectors, payments rocketed by 100.75% in 2024. Current transfers are recorded in the balance of payments whenever an economy provides or receives goods, services, income, or financial items without a quid pro quo. All transfers not considered to be capital are current. Data are in current U.S. dollars.

CompanyData.com, powered by BoldData, is your trusted provider of verified B2B company data sourced directly from official trade registers. Our Peru company database features 2,618,867 up-to-date business records, offering deep insights into the Peruvian market with unmatched accuracy and structure.

Each company profile includes rich firmographic data such as business name, registration number, legal structure, industry classification (CIIU), company size, revenue brackets, and employee estimates. Many records are enhanced with key contact details, including names of decision-makers, email addresses, phone numbers, and mobile numbers where available.

Whether your focus is on KYC and AML compliance, B2B lead generation, market research, CRM data enrichment, or AI model development, our Peruvian company data is built to serve a wide range of strategic use cases across industries.

Choose the delivery format that fits your needs — from custom company lists and full national databases in Excel or CSV, to real-time API access and our intuitive self-service platform. We also offer data enrichment and cleansing services to help you optimize and update your existing datasets with fresh, verified company data from Peru.

With a global database of 2,618,867 verified companies, CompanyData.com empowers businesses to grow both locally and internationally. Tap into the Peruvian market with precision and scale your operations with confidence, backed by reliable data and expert support.

New Corporate Loans: Commerce: Number of New Loans Disbursed data was reported at 135,751.000 Number in Mar 2020. This records a decrease from the previous number of 163,801.000 Number for Feb 2020. New Corporate Loans: Commerce: Number of New Loans Disbursed data is updated monthly, averaging 123,921.000 Number from Jul 2010 (Median) to Mar 2020, with 116 observations. The data reached an all-time high of 897,649.000 Number in Jun 2016 and a record low of 93,975.000 Number in Jan 2015. New Corporate Loans: Commerce: Number of New Loans Disbursed data remains active status in CEIC and is reported by Superintendency of Banks, Insurance and Pension Funds. The data is categorized under Global Database’s Peru – Table PE.KB015: Commercial Banks: New Corporate Loans: by Main Economic Sectors.

Abstract

The documented dataset covers Enterprise Survey (ES) panel data collected in Peru in 2006, 2010 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 2006-2017 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 2006-2017 Peru Enterprise Survey (ES) was selected using stratified random sampling, following the methodology explained in the Sampling Manual. Stratified random sampling 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 (group D), construction (group F), services (groups G and H), and transport, storage, and communications (group I). Groups are defined following ISIC revision 3.1. Note that this definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, excluding sub-sector 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.)

Three levels of stratification were used in every country: industry, establishment size, and region.

Industry stratification was designed in the following way: In small economies the population was stratified into 3 manufacturing industries, one services industry - retail-, and one residual sector as defined in the sampling manual. Each industry had a target of 120 interviews. In middle size economies the population was stratified into 4 manufacturing industries, 2 services industries -retail and IT-, and one residual sector. For the manufacturing industries sample sizes were inflated by 25% to account for potential non-response in the financing data.

For the Peru ES, 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 purposed, the number of employees was defined on the basis of reported permanent full-time workers. This resulted in some difficulties in certain countries where seasonal/casual/part-time labor is common.

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.

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 the 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. However, there were clear cases of low response. The following graph shows non-response rates for the sales variable, d2, by sector. Please, note that for this specific question, refusals were not separately identified from “Don’t know” responses.

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; whenever this was done, strict rules were followed to ensure replacements were randomly selected within the same stratum. Further research is needed on survey non-response in the Enterprise Surveys regarding potential introduction of bias.

Market capitalization (% of GDP) of Peru dropped by 10.71% from 31.8 % in 2023 to 28.4 % in 2024. Since the 3.31% upward trend in 2019, market capitalization (% of GDP) plummeted by 34.43% in 2024. Market capitalization (also known as market value) is the share price times the number of shares outstanding. Listed domestic companies are the domestically incorporated companies listed on the country's stock exchanges at the end of the year. Listed companies does not include investment companies, mutual funds, or other collective investment vehicles.

Abstract

The survey was conducted in Peru between March 2017 to March 2018 as part of Enterprise Surveys project, an initiative of the World Bank. Data from 1003 establishments was analyzed.

The objective of the Enterprise Survey is to gain an understanding of what firms experience in the private sector. 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 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 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 Coverage

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 for 2017 Peru ES was selected using stratified random sampling.

Three levels of stratification were used in this country: industry, establishment size, and region.

Industry stratification was designed as follows: the universe was stratified into three manufacturing industries and two services industries- Food and Beverages (ISIC Rev. 3.1 code 15), Textiles and Garments (ISIC codes 17,18), Other Manufacturing (ISIC codes 16, 19-37), Retail (ISIC code 52) and Other Services (ISIC codes 45, 50, 51, 55, 60-64, and 72).

For the Peru 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 was done across five regions: Lima, Arequipa, Chiclayo, Trujillo and Piura.

Given the stratified design, sample frames containing a complete and updated list of establishments as well as information on all stratification variables (number of employees, industry, and region) are required to draw the sample. Great efforts were made to obtain the best source for these listings.

The sample frame consisted of listings of firms from several sources. For panel firms the list of 1000 firms from the Peru 2010 ES was used, and for fresh firms (i.e., firms not covered in 2010) the lists obtained from Top 10mil 2011, Registro Mype Callao 2010, Registro Mype 2012 and SUNAT (Hacienda) 2011 were used.

Mode of data collection

Face-to-face [f2f]

Research instrument

The structure of the data base reflects the fact that 2 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.

The end date of the last complete fiscal year is identified by variables a20y, a20m, and a20d, collecting information on respectively, year, month, and day. For questions pertaining to monetary amounts, the unit is the Peruvian Sol, PEN.

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 the 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. However, there were clear cases of low response. The following graph shows non-response rates for the sales variable, d2, by sector. Please, note that for this specific question, refusals were not separately identified from “Don’t know” responses.

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; whenever this was done, strict rules were followed to ensure replacements were randomly selected within the same stratum. Further research is needed on survey non-response in the Enterprise Surveys regarding potential introduction of bias.

Peru New Corporate Loans: Manufacturing Industry: Amount of New Loans Disbursed: PEN data was reported at 5,673,090.970 PEN th in Mar 2020. This records an increase from the previous number of 4,903,488.368 PEN th for Feb 2020. Peru New Corporate Loans: Manufacturing Industry: Amount of New Loans Disbursed: PEN data is updated monthly, averaging 4,026,711.056 PEN th from Jul 2010 (Median) to Mar 2020, with 116 observations. The data reached an all-time high of 8,408,845.845 PEN th in Oct 2019 and a record low of 1,379,485.106 PEN th in Feb 2011. Peru New Corporate Loans: Manufacturing Industry: Amount of New Loans Disbursed: PEN data remains active status in CEIC and is reported by Superintendency of Banks, Insurance and Pension Funds. The data is categorized under Global Database’s Peru – Table PE.KB015: Commercial Banks: New Corporate Loans: by Main Economic Sectors.

Peru New Corporate Loans: Manufacturing Industry: Amount of New Loans Disbursed: USD data was reported at 1,959,385.291 USD th in Mar 2020. This records an increase from the previous number of 1,880,050.422 USD th for Feb 2020. Peru New Corporate Loans: Manufacturing Industry: Amount of New Loans Disbursed: USD data is updated monthly, averaging 2,106,920.240 USD th from Jul 2010 (Median) to Mar 2020, with 116 observations. The data reached an all-time high of 3,379,866.616 USD th in Jan 2014 and a record low of 1,068,282.900 USD th in Jul 2010. Peru New Corporate Loans: Manufacturing Industry: Amount of New Loans Disbursed: USD data remains active status in CEIC and is reported by Superintendency of Banks, Insurance and Pension Funds. The data is categorized under Global Database’s Peru – Table PE.KB015: Commercial Banks: New Corporate Loans: by Main Economic Sectors.

The Peruvian cybersecurity market, while currently smaller than regional giants, exhibits robust growth potential. The 8.52% CAGR (2019-2033) suggests a significant expansion, driven by increasing digitalization across sectors like BFSI (Banking, Financial Services, and Insurance), retail e-commerce, and government. Rising cyber threats, including ransomware and data breaches, necessitate stronger security measures, fueling demand for solutions encompassing application security, cloud security, and identity and access management. The market is segmented by offering (solutions and services), deployment (cloud and on-premise), and end-user industry, allowing for targeted strategies. While a lack of cybersecurity awareness and skilled professionals may pose challenges, the government's initiatives to improve digital infrastructure and cybersecurity regulations are expected to mitigate these restraints. The prevalence of cloud-based solutions is projected to increase, driven by their scalability and cost-effectiveness. Key players like IBM, Oracle, and smaller specialized firms like Resecurity and Netspoke, are actively participating in this evolving market, offering a mix of advanced technologies and managed services. The market's projected value in 2025 serves as a strong foundation for future growth estimations, providing a benchmark for future investment and market analysis. Growth in the Peruvian cybersecurity market is further fueled by the increasing adoption of digital technologies by businesses and the government. This includes the expansion of e-commerce platforms, mobile banking services, and online government services. As reliance on digital infrastructure grows, the vulnerabilities and potential for cyberattacks also increase, creating a sustained demand for advanced cybersecurity solutions and services. The market's fragmentation, with a mix of multinational corporations and local providers, offers both opportunities and challenges. Larger firms benefit from established brand recognition and a wide range of offerings, while specialized companies can focus on niche markets and provide customized solutions. Future growth will likely be influenced by the success of government initiatives aimed at improving national cybersecurity capabilities and the overall maturity of the Peruvian digital economy. This expanding market offers substantial opportunities for businesses to capitalize on the growing demand for robust security measures. This comprehensive report provides an in-depth analysis of the burgeoning Peru cybersecurity market, offering invaluable insights for businesses, investors, and policymakers. With a study period spanning 2019-2033, a base year of 2025, and a forecast period of 2025-2033, this report leverages historical data (2019-2024) to project future market growth and trends. It meticulously examines the market's size (in millions of USD), key segments, driving forces, challenges, and emerging trends, providing a 360-degree view of this critical sector. The report also highlights significant developments and profiles leading players in the Peruvian cybersecurity landscape. Recent developments include: In March 2024, the US-based cloud security firm Netskope announced to bolster its operations in South America. It's establishing a dedicated team in Peru, ramping up recruitment efforts in Colombia and Brazil, and enhancing its footprint in regional data centers. This move comes in response to the region's rising need for cloud security and network protection solutions., In January 2024, Kyndryl, the world's leading technology infrastructure services provider, unveiled two new security edge security services in collaboration with Cisco. These services are designed to empower customers by enhancing their security measures and enabling proactive responses to cyber threats.. Key drivers for this market are: Growing Reliance of Businesses on Technology and Data, Increasing Sophistication and Frequency of Cyberattacks. Potential restraints include: Growing Reliance of Businesses on Technology and Data, Increasing Sophistication and Frequency of Cyberattacks. Notable trends are: BFSI Sector is Analyzed to Hold Largest Market Share.