11 datasets found
  1. B2B Technographic Data in Madagascar

    • kaggle.com
    Updated Sep 13, 2024
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    Techsalerator (2024). B2B Technographic Data in Madagascar [Dataset]. https://www.kaggle.com/datasets/techsalerator/b2b-technographic-data-in-madagascar
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 13, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Madagascar
    Description

    Techsalerator’s Business Technographic Data for Madagascar: Unlocking Insights into Madagascar's Technology Landscape

    Techsalerator’s Business Technographic Data for Madagascar offers a comprehensive dataset crucial for businesses, market analysts, and technology vendors seeking to understand and engage with companies operating in Madagascar. This dataset provides detailed insights into the technological landscape, encompassing data related to technology stacks, digital tools, and IT infrastructure utilized by businesses across the island.

    For more information or to request a quote, please contact us at info@techsalerator.com or visit Techsalerator Contact.

    Top 5 Most Utilized Data Fields

    • Company Name: This field lists the names of companies in Madagascar, allowing technology vendors to target potential clients and enabling analysts to observe technology adoption trends within specific businesses.

    • Technology Stack: This field details the technologies and software solutions a company employs, including accounting systems, customer management software, and cloud services. Understanding a company's technology stack is vital for assessing its digital maturity and operational needs.

    • Deployment Status: This field indicates whether the technology is currently in use, planned for future implementation, or under evaluation. Vendors can use this information to gauge the level of technology adoption and interest among companies in Madagascar.

    • Industry Sector: This field specifies the industry in which the company operates, such as agriculture, tourism, or manufacturing. Knowledge of the industry helps vendors tailor their products to sector-specific needs and emerging trends in Madagascar.

    • Geographic Location: This field identifies the company’s headquarters or primary operations within Madagascar. Geographic data assists in regional analysis and understanding localized technology adoption patterns across the island.

    Top 5 Technology Trends in Madagascar

    • Agricultural Technology: With agriculture being a major sector in Madagascar, there is increasing adoption of digital solutions like precision farming tools, agricultural management software, and drone technology to enhance productivity and efficiency.

    • Renewable Energy Initiatives: Madagascar is focusing on sustainable energy solutions, leading to a rise in the use of renewable energy technologies such as solar power and wind energy, aimed at reducing dependence on traditional energy sources.

    • E-commerce Growth: The shift towards digital commerce is gaining momentum in Madagascar, with businesses increasingly using e-commerce platforms and digital payment systems to expand their market reach and improve transaction convenience.

    • Mobile Connectivity: The expansion of mobile networks and services is crucial for Madagascar’s digital development. Companies are investing in mobile technologies to enhance connectivity and offer innovative mobile-based solutions.

    • Educational Technology: There is a growing emphasis on educational technology in Madagascar, with schools and educational institutions adopting digital learning tools, online resources, and e-learning platforms to improve educational outcomes.

    Top 5 Companies with Notable Technographic Data in Madagascar

    • Telma Madagascar: As a leading telecom provider, Telma is enhancing the country’s connectivity through high-speed internet, mobile services, and investments in expanding its network infrastructure.

    • Madagascar Oil: This key player in the energy sector is integrating advanced technology solutions into its operations, including renewable energy technologies and efficient resource management systems.

    • SODEXAM: The national meteorological service of Madagascar, SODEXAM is leveraging advanced weather tracking and data analytics technologies to improve weather forecasting and climate monitoring.

    • Bureau Veritas Madagascar: Known for its testing, inspection, and certification services, Bureau Veritas is using digital tools and technology to enhance its service offerings and operational efficiency.

    • Tiko: A prominent player in the food and beverage industry, Tiko is utilizing digital solutions for supply chain management, production monitoring, and e-commerce to optimize its operations and customer engagement.

    Accessing Techsalerator’s Business Technographic Data

    For those interested in accessing Techsalerator’s Business Technographic Data for Madagascar, please contact info@techsalerator.com with your specific requirements. Techsalerator provides customized quotes based on the number of data fields and records required, with datasets available for delivery within 24 hours. Ongoing access options can also be arranged upon request.

    Included Data Fields

    • Company Name
    • Technology Stack
    • Deployment Sta...
  2. a

    Madagascar Digital Elevation Model

    • rcmrd.africageoportal.com
    Updated Jul 12, 2024
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    Regional Centre for Mapping of Resource for Development (2024). Madagascar Digital Elevation Model [Dataset]. https://rcmrd.africageoportal.com/maps/rcmrd::madagascar-digital-elevation-model-/explore
    Explore at:
    Dataset updated
    Jul 12, 2024
    Dataset authored and provided by
    Regional Centre for Mapping of Resource for Development
    Area covered
    Description

    Madagascar 90 meters Digital Elevation Model

  3. e

    Madagascar - Elevation - Dataset - ENERGYDATA.INFO

    • energydata.info
    Updated Jun 19, 2025
    + more versions
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    (2025). Madagascar - Elevation - Dataset - ENERGYDATA.INFO [Dataset]. https://energydata.info/dataset/madagascar-elevation-2008
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    Dataset updated
    Jun 19, 2025
    Area covered
    Madagascar
    Description

    Digital elevation data for Madagascar from CIATs SRTM 90m Digital Elevation Database v4.1. The original USGS/NASA SRTM data was provided in cells of approximately 90m x 90m, which has been processed to fill no-data cells and aggregated to 1km x 1km cells by CIAT [1]. Reference: [1] Jarvis, A., H.I. Reuter, A. Nelson, E. Guevara, 2008, Hole-filled SRTM for the globe Version 4, available from the CGIAR-CSI SRTM 90m Database (http://srtm.csi.cgiar.org)

  4. Madagascar MG: Internet Users: Individuals: % of Population

    • ceicdata.com
    Updated Oct 5, 2018
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    CEICdata.com (2018). Madagascar MG: Internet Users: Individuals: % of Population [Dataset]. https://www.ceicdata.com/en/madagascar/telecommunication/mg-internet-users-individuals--of-population
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    Dataset updated
    Oct 5, 2018
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Madagascar
    Description

    Madagascar MG: Internet Users: Individuals: % of Population data was reported at 9.800 % in 2017. This records an increase from the previous number of 4.714 % for 2016. Madagascar MG: Internet Users: Individuals: % of Population data is updated yearly, averaging 0.608 % from Dec 1990 (Median) to 2017, with 23 observations. The data reached an all-time high of 9.800 % in 2017 and a record low of 0.000 % in 1990. Madagascar MG: Internet Users: Individuals: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Madagascar – Table MG.World Bank: Telecommunication. Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.; ; International Telecommunication Union, World Telecommunication/ICT Development Report and database.; Weighted average; Please cite the International Telecommunication Union for third-party use of these data.

  5. i

    Madagascar: Television, Video and Digital Cameras 2007-2024

    • app.indexbox.io
    Updated Aug 9, 2024
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    IndexBox AI Platform (2024). Madagascar: Television, Video and Digital Cameras 2007-2024 [Dataset]. https://app.indexbox.io/table/852580h3/450/partner/import-volume/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    IndexBox AI Platform
    License

    Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2007 - Dec 31, 2024
    Area covered
    Madagascar
    Description

    Statistics illustrates the import volume of Television, Video and Digital Cameras in Madagascar from 2007 to 2024 by trade partner.

  6. i

    Madagascar: Television, Video and Digital Cameras 2007-2024

    • app.indexbox.io
    Updated Aug 14, 2024
    + more versions
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    IndexBox AI Platform (2024). Madagascar: Television, Video and Digital Cameras 2007-2024 [Dataset]. https://app.indexbox.io/table/852580h3/450/partner/export-price/
    Explore at:
    Dataset updated
    Aug 14, 2024
    Dataset authored and provided by
    IndexBox AI Platform
    License

    Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2007 - Dec 31, 2024
    Area covered
    Madagascar
    Description

    Statistics illustrates the export price of Television, Video and Digital Cameras in Madagascar from 2007 to 2024 by trade partner.

  7. d

    Data from: Late Cretaceous bird from Madagascar reveals unique development...

    • search.dataone.org
    • data.niaid.nih.gov
    • +2more
    Updated Jun 23, 2025
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    Patrick O'Connor; Alan Turner; Joseph Groenke; Ryan Felice; Raymond Rogers; David Krause; Lydia Rahantarisoa (2025). Late Cretaceous bird from Madagascar reveals unique development of beaks [Dataset]. http://doi.org/10.5061/dryad.mkkwh70wg
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    Dataset updated
    Jun 23, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Patrick O'Connor; Alan Turner; Joseph Groenke; Ryan Felice; Raymond Rogers; David Krause; Lydia Rahantarisoa
    Time period covered
    Jan 1, 2020
    Description

    Mesozoic birds display considerable diversity in size, flight adaptations and feather organization, but exhibit relatively conserved patterns of beak shape and development. Although Neornithine (that is, crown group) birds also exhibit constraint on facial development, they have comparatively diverse beak morphologies associated with a range of feeding and behavioural ecologies, in contrast to Mesozoic birds. Here we describe a crow-sized stem bird, Falcatakely forsterae gen. et sp. nov., from the Late Cretaceous epoch of Madagascar that possesses a long and deep rostrum, an expression of beak morphology that was previously unknown among Mesozoic birds and is superficially similar to that of a variety of crown-group birds (for example, toucans). The rostrum of Falcatakely is composed of an expansive edentulous maxilla and a small tooth-bearing premaxilla. Morphometric analyses of individual bony elements and three-dimensional rostrum shape reveal the development of a neornithine-like f...

  8. G

    GovTech Maturity Index for Madagascar

    • digitalidentityindex.com
    csv
    Updated 2022
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    Digital Identity Index (2022). GovTech Maturity Index for Madagascar [Dataset]. https://digitalidentityindex.com/countries/madagascar/govtech/
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    csvAvailable download formats
    Dataset updated
    2022
    Dataset authored and provided by
    Digital Identity Index
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2022
    Area covered
    Madagascar
    Variables measured
    Gt1, Gt2, Gt3, Gt4, Cgsi, Dcei, Gtei, Gtmi, Psdi, Year, and 90 more
    Description

    Comprehensive GovTech maturity analysis for Madagascar from the 2022 dataset, including digital governance metrics, infrastructure assessment, and technical standards implementation.

  9. 6

    Madagascar Digital Multimeter Market (2025-2031) | Share & Companies

    • test.6wresearch.com
    excel, pdf,ppt,csv
    Updated Jan 24, 2025
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    6Wresearch (2025). Madagascar Digital Multimeter Market (2025-2031) | Share & Companies [Dataset]. https://www.test.6wresearch.com/industry-report/madagascar-digital-multimeter-market
    Explore at:
    excel, pdf,ppt,csvAvailable download formats
    Dataset updated
    Jan 24, 2025
    Dataset authored and provided by
    6Wresearch
    License

    https://www.6wresearch.com/privacy-policyhttps://www.6wresearch.com/privacy-policy

    Area covered
    Madagascar
    Variables measured
    By Type (Handheld, Mounted),, By Application (Residential, Commercial, Industrial) And Competitive Landscape
    Description

    Madagascar Digital Multimeter Market is expected to grow during 2025-2031

  10. w

    Global Financial Inclusion (Global Findex) Database 2021 - Madagascar

    • microdata.worldbank.org
    • bitcoincore.me
    • +1more
    Updated Feb 22, 2024
    + more versions
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    Development Research Group, Finance and Private Sector Development Unit (2024). Global Financial Inclusion (Global Findex) Database 2021 - Madagascar [Dataset]. https://microdata.worldbank.org/index.php/catalog/5857
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    Dataset updated
    Feb 22, 2024
    Dataset authored and provided by
    Development Research Group, Finance and Private Sector Development Unit
    Time period covered
    2022
    Area covered
    Madagascar
    Description

    Abstract

    The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

    The Global Findex is the world’s most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of almost 145,000 people in 139 economies, representing 97 percent of the world’s population. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

    The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

    Geographic coverage

    Regions that were unsafe or unreachable were excluded from the sample. The excluded areas represent approximately 17% of the total population.

    Kind of data

    Observation data/ratings [obs]

    Sampling procedure

    In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19–related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Additionally, phone surveys were not a viable option in 16 economies in 2021, which were then surveyed in 2022.

    In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

    In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

    The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

    For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

    Sample size for Madagascar is 1000.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Questionnaires are available on the website.

    Sampling error estimates

    Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

  11. H

    Madagascar - Elevation Model

    • data.humdata.org
    • data.wu.ac.at
    arc/info grid
    Updated Apr 25, 2025
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    OCHA ROSA (inactive) (2025). Madagascar - Elevation Model [Dataset]. https://data.humdata.org/dataset/89b6ca78-8a4a-4781-9dff-2749a45dd62c?force_layout=desktop
    Explore at:
    arc/info grid(1296353)Available download formats
    Dataset updated
    Apr 25, 2025
    Dataset provided by
    OCHA ROSA (inactive)
    Description

    Madagascar Digital Elevation Model, downloaded from DIVA GIS in March 2012 (CGIAR-SRTM data aggregated to 30 seconds).

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Techsalerator (2024). B2B Technographic Data in Madagascar [Dataset]. https://www.kaggle.com/datasets/techsalerator/b2b-technographic-data-in-madagascar
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B2B Technographic Data in Madagascar

A sample form Techsalerator Technographic Data in Madagascar

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Sep 13, 2024
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Techsalerator
License

Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically

Area covered
Madagascar
Description

Techsalerator’s Business Technographic Data for Madagascar: Unlocking Insights into Madagascar's Technology Landscape

Techsalerator’s Business Technographic Data for Madagascar offers a comprehensive dataset crucial for businesses, market analysts, and technology vendors seeking to understand and engage with companies operating in Madagascar. This dataset provides detailed insights into the technological landscape, encompassing data related to technology stacks, digital tools, and IT infrastructure utilized by businesses across the island.

For more information or to request a quote, please contact us at info@techsalerator.com or visit Techsalerator Contact.

Top 5 Most Utilized Data Fields

  • Company Name: This field lists the names of companies in Madagascar, allowing technology vendors to target potential clients and enabling analysts to observe technology adoption trends within specific businesses.

  • Technology Stack: This field details the technologies and software solutions a company employs, including accounting systems, customer management software, and cloud services. Understanding a company's technology stack is vital for assessing its digital maturity and operational needs.

  • Deployment Status: This field indicates whether the technology is currently in use, planned for future implementation, or under evaluation. Vendors can use this information to gauge the level of technology adoption and interest among companies in Madagascar.

  • Industry Sector: This field specifies the industry in which the company operates, such as agriculture, tourism, or manufacturing. Knowledge of the industry helps vendors tailor their products to sector-specific needs and emerging trends in Madagascar.

  • Geographic Location: This field identifies the company’s headquarters or primary operations within Madagascar. Geographic data assists in regional analysis and understanding localized technology adoption patterns across the island.

Top 5 Technology Trends in Madagascar

  • Agricultural Technology: With agriculture being a major sector in Madagascar, there is increasing adoption of digital solutions like precision farming tools, agricultural management software, and drone technology to enhance productivity and efficiency.

  • Renewable Energy Initiatives: Madagascar is focusing on sustainable energy solutions, leading to a rise in the use of renewable energy technologies such as solar power and wind energy, aimed at reducing dependence on traditional energy sources.

  • E-commerce Growth: The shift towards digital commerce is gaining momentum in Madagascar, with businesses increasingly using e-commerce platforms and digital payment systems to expand their market reach and improve transaction convenience.

  • Mobile Connectivity: The expansion of mobile networks and services is crucial for Madagascar’s digital development. Companies are investing in mobile technologies to enhance connectivity and offer innovative mobile-based solutions.

  • Educational Technology: There is a growing emphasis on educational technology in Madagascar, with schools and educational institutions adopting digital learning tools, online resources, and e-learning platforms to improve educational outcomes.

Top 5 Companies with Notable Technographic Data in Madagascar

  • Telma Madagascar: As a leading telecom provider, Telma is enhancing the country’s connectivity through high-speed internet, mobile services, and investments in expanding its network infrastructure.

  • Madagascar Oil: This key player in the energy sector is integrating advanced technology solutions into its operations, including renewable energy technologies and efficient resource management systems.

  • SODEXAM: The national meteorological service of Madagascar, SODEXAM is leveraging advanced weather tracking and data analytics technologies to improve weather forecasting and climate monitoring.

  • Bureau Veritas Madagascar: Known for its testing, inspection, and certification services, Bureau Veritas is using digital tools and technology to enhance its service offerings and operational efficiency.

  • Tiko: A prominent player in the food and beverage industry, Tiko is utilizing digital solutions for supply chain management, production monitoring, and e-commerce to optimize its operations and customer engagement.

Accessing Techsalerator’s Business Technographic Data

For those interested in accessing Techsalerator’s Business Technographic Data for Madagascar, please contact info@techsalerator.com with your specific requirements. Techsalerator provides customized quotes based on the number of data fields and records required, with datasets available for delivery within 24 hours. Ongoing access options can also be arranged upon request.

Included Data Fields

  • Company Name
  • Technology Stack
  • Deployment Sta...
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