100+ datasets found
  1. Open-source software usage 2023, by region

    • statista.com
    Updated Jul 1, 2025
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    Statista (2025). Open-source software usage 2023, by region [Dataset]. https://www.statista.com/statistics/1472615/open-source-software-usage-by-region/
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    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2023 - Nov 2023
    Area covered
    Worldwide
    Description

    In a recent survey, more than ** percent of the respondents stated that their organizations had either increased or maintained their use of open-source software in the past year. Participants from Africa, with ** percent, noted a significant increase in usage.

  2. Open Source Software Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Open Source Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-open-source-software-market
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    pptx, csv, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Open Source Software Market Outlook



    The global open source software market size was valued at approximately USD 21.7 billion in 2023 and is projected to reach around USD 55.2 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.1% during the forecast period. The market's robust growth is driven by increasing adoption across various industries and the growing need for cost-effective solutions.



    One of the primary growth factors for the open source software market is the cost-effectiveness of open source solutions compared to proprietary software. Organizations, especially small and medium enterprises (SMEs), are increasingly adopting open source software to reduce IT expenditures. Furthermore, the flexible and customizable nature of open source software is highly appealing to businesses seeking tailor-made solutions specific to their operational needs. These factors collectively drive the expansive growth of this market.



    Another significant growth driver is the increasing reliance on cloud computing. With the progressive shift towards cloud-based infrastructures, open source software offers unparalleled flexibility and scalability. Cloud-based deployment modes are particularly beneficial for enterprises, allowing them to scale up or down based on their requirements, thereby providing a cost-efficient model. Open source cloud platforms such as OpenStack have gained substantial traction, further propelling market growth.



    Open Source Cloud Platforms for Enterprise are becoming increasingly pivotal as businesses transition to digital-first strategies. These platforms offer enterprises the flexibility to build scalable and customizable IT infrastructures without the constraints of traditional proprietary systems. By leveraging open source cloud platforms, enterprises can innovate rapidly, reduce costs, and enhance their competitive edge. The community-driven development model ensures that these platforms are continuously updated with the latest features and security enhancements, making them a reliable choice for enterprises looking to future-proof their operations. Furthermore, the interoperability of open source cloud platforms allows seamless integration with existing systems, providing a cohesive and efficient IT environment for enterprises.



    Moreover, the support from a vast developer community ensures continuous innovation and improvement of open source software. The collaborative nature of open source development leads to rapid identification and rectification of bugs, enhanced security features, and consistent updates, making open source software highly reliable. The community-driven approach also fosters innovation, as developers worldwide contribute to enhancing the software's functionalities, ensuring it remains competitive against proprietary alternatives.



    Regionally, North America holds a significant share of the open source software market, attributed to the presence of major technology companies and high adoption rates of advanced technologies. Europe also demonstrates substantial growth due to the digital transformation initiatives across various industries. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by the rapid adoption of open source software by SMEs and the increasing penetration of cloud computing solutions.



    Component Analysis



    In the open source software market, the component segment comprises software and services. The software component includes various open source software solutions, while the services component encompasses consulting, implementation, and support services. The software segment holds a dominant share of the market, primarily due to the extensive adoption of open source software across diverse industries. Organizations are increasingly leveraging open source solutions for their operational needs owing to their cost-efficiency and flexibility, driving the segment's growth.



    The services segment, although smaller than the software segment, is rapidly growing. As more organizations adopt open source software, the need for professional services such as consulting, implementation, and support has surged. Consulting services help organizations identify suitable open source solutions tailored to their needs, while implementation services assist in seamlessly integrating these solutions into their existing infrastructure. Support services ensure smooth operatio

  3. Z

    Enterprise-Driven Open Source Software

    • data.niaid.nih.gov
    • opendatalab.com
    • +1more
    Updated Apr 22, 2020
    + more versions
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    Louridas, Panos (2020). Enterprise-Driven Open Source Software [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3653877
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    Dataset updated
    Apr 22, 2020
    Dataset provided by
    Theodorou, Georgios
    Spinellis, Diomidis
    Kotti, Zoe
    Kravvaritis, Konstantinos
    Louridas, Panos
    License

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

    Description

    We present a dataset of open source software developed mainly by enterprises rather than volunteers. This can be used to address known generalizability concerns, and, also, to perform research on open source business software development. Based on the premise that an enterprise's employees are likely to contribute to a project developed by their organization using the email account provided by it, we mine domain names associated with enterprises from open data sources as well as through white- and blacklisting, and use them through three heuristics to identify 17,264 enterprise GitHub projects. We provide these as a dataset detailing their provenance and properties. A manual evaluation of a dataset sample shows an identification accuracy of 89%. Through an exploratory data analysis we found that projects are staffed by a plurality of enterprise insiders, who appear to be pulling more than their weight, and that in a small percentage of relatively large projects development happens exclusively through enterprise insiders.

    The main dataset is provided as a 17,264 record tab-separated file named enterprise_projects.txt with the following 29 fields.

    url: the project's GitHub URL

    project_id: the project's GHTorrent identifier

    sdtc: true if selected using the same domain top committers heuristic (9,016 records)

    mcpc: true if selected using the multiple committers from a valid enterprise heuristic (8,314 records)

    mcve: true if selected using the multiple committers from a probable company heuristic (8,015 records),

    star_number: number of GitHub watchers

    commit_count: number of commits

    files: number of files in current main branch

    lines: corresponding number of lines in text files

    pull_requests: number of pull requests

    github_repo_creation: timestamp of the GitHub repository creation

    earliest_commit: timestamp of the earliest commit

    most_recent_commit: date of the most recent commit

    committer_count: number of different committers

    author_count: number of different authors

    dominant_domain: the projects dominant email domain

    dominant_domain_committer_commits: number of commits made by committers whose email matches the project's dominant domain

    dominant_domain_author_commits: corresponding number for commit authors

    dominant_domain_committers: number of committers whose email matches the project's dominant domain

    dominant_domain_authors: corresponding number for commit authors

    cik: SEC's EDGAR "central index key"

    fg500: true if this is a Fortune Global 500 company (2,233 records)

    sec10k: true if the company files SEC 10-K forms (4,180 records)

    sec20f: true if the company files SEC 20-F forms (429 records)

    project_name: GitHub project name

    owner_login: GitHub project's owner login

    company_name: company name as derived from the SEC and Fortune 500 data

    owner_company: GitHub project's owner company name

    license: SPDX license identifier

    The file cohost_project_details.txt provides the full set of 311,223 cohort projects that are not part of the enterprise data set, but have comparable quality attributes.

    url: the project's GitHub URL

    project_id: the project's GHTorrent identifier

    stars: number of GitHub watchers

    commit_count: number of commits

  4. t

    Open Source Software Global Market Report 2025

    • thebusinessresearchcompany.com
    pdf,excel,csv,ppt
    Updated Jan 15, 2025
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    The Business Research Company (2025). Open Source Software Global Market Report 2025 [Dataset]. https://www.thebusinessresearchcompany.com/report/open-source-software-global-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    The Business Research Company
    License

    https://www.thebusinessresearchcompany.com/privacy-policyhttps://www.thebusinessresearchcompany.com/privacy-policy

    Description

    Global Open Source Software market size is expected to reach $90.66 billion by 2029 at 16.7%, segmented as by shareware, trial software, freemium software, time-limited software, feature-limited software, subscription-based shareware

  5. o

    Open Source Software licensing - basics - Dataset - Open Data Hub

    • datahub.openscience.eu
    Updated Nov 18, 2023
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    (2023). Open Source Software licensing - basics - Dataset - Open Data Hub [Dataset]. https://datahub.openscience.eu/dataset/open-source-software-licensing-basics
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    Dataset updated
    Nov 18, 2023
    License

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

    Description

    The presentation explains in the simplest possible way what you need to know about open source licenses when starting from scratch. It also sums up the course "Open Source Licensing Basics for Software Developers (LFC191)" (Linux Foundation)

  6. Use of open source software, by industry

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Mar 9, 2010
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    Government of Canada, Statistics Canada (2010). Use of open source software, by industry [Dataset]. http://doi.org/10.25318/2210005701-eng
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    Dataset updated
    Mar 9, 2010
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Electronic commerce and technology, use of open source software by North American Industry Classification System (NAICS), for Canada from 2005 to 2007. (Terminated)

  7. Number of open source projects and versions worldwide 2023, by ecosystem

    • statista.com
    Updated Jul 1, 2025
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    Statista (2025). Number of open source projects and versions worldwide 2023, by ecosystem [Dataset]. https://www.statista.com/statistics/1268650/worldwide-open-source-projects-versions-ecosystems/
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    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    At the end of 2022, there were approximately *** million JavaScript open source projects in the Maven Central Repository and around ** million JavaScript project versions worldwide. While JavaScript is the largest ecosystem in the Maven Central Repository, Java, Python, and .NET also have thousands of available open source projects.

  8. Number of attacks on open source software supply chain 2019-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jul 1, 2025
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    Statista (2025). Number of attacks on open source software supply chain 2019-2023 [Dataset]. https://www.statista.com/statistics/1268934/worldwide-open-source-supply-chain-attacks/
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    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2023, Sonatype reported over *** thousand malicious attacks on the open-source software (OSS) supply chain, aimed at exploiting any weaknesses in upstream open-source ecosystems, such as JavaScript, Java, .NET, and Python. This figure represents a nearly *** percent growth from the previous year and is over the double of the sum of the attacks from all the reported previous years (from 2019 to 2022).

  9. On the Popularity of Modern Open Source Software

    • zenodo.org
    • data.niaid.nih.gov
    csv, json, zip
    Updated Jan 24, 2020
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    Hudson Silva Borges; Marco Tulio Valente; Hudson Silva Borges; Marco Tulio Valente (2020). On the Popularity of Modern Open Source Software [Dataset]. http://doi.org/10.5281/zenodo.1183752
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    zip, csv, jsonAvailable download formats
    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Hudson Silva Borges; Marco Tulio Valente; Hudson Silva Borges; Marco Tulio Valente
    License

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

    Description

    This dataset contains the data analyzed on the paper:

    Hudson Borges and Marco Tulio Valente. On the Popularity of Modern Open Source Software. Submitted to Journal of Systems and Software (JSS), 2018.

    Files:

    • cdf.csv: Cumulative distribution function data.
    • contributos.csv: List of contributors of the repositories.
    • developers_perceptions.csv: Survey of Developers' Perceptions on Growth Patterns.
    • factors.[activity,owner,repository].csv: Additional information of the analyzed repositories and their owners.
    • growth_patterns.zip: A compressed file containing the output of the KSC algorithm (time series clusters).
    • motivations_for_starring.csv: Developers' motivations for starring projects.
    • owners.csv: Information of the repositories' owners.
    • releases.csv: Releases considered in the study (i.e., major and minor releases only).
    • repositories.csv: Information of the analyzed repositories (e.g., stars, forks, owner, creation date, etc.).
    • timeseries.json: File containing the number of stars gained by week for each repository since their creation.
  10. NASA Open Source And General Resource Software API

    • s.cnmilf.com
    • datadiscoverystudio.org
    • +5more
    Updated May 31, 2025
    + more versions
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    National Aeronautics and Space Administration (2025). NASA Open Source And General Resource Software API [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/nasa-open-source-and-general-resource-software-api
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    Dataset updated
    May 31, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    This dataset lists out all software in use by NASA.

  11. O

    Open Source Software Composition Analysis Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 18, 2025
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    Archive Market Research (2025). Open Source Software Composition Analysis Report [Dataset]. https://www.archivemarketresearch.com/reports/open-source-software-composition-analysis-35981
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Feb 18, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Market Overview The global open source software composition analysis (OSSCA) market is projected to reach a value of USD 3.5 billion by 2033, exhibiting a CAGR of 15.8% during the forecast period. Rising concerns over software supply chain attacks and the increasing adoption of open source software across industries are key growth drivers. The market is segmented by deployment type (on-premises and cloud-based) and application (manufacturing, healthcare, finance, etc.). North America is the largest regional market, followed by Europe and Asia Pacific. Key Trends and Challenges The market is witnessing a surge in demand for cloud-based OSSCA solutions due to their flexibility and cost-effectiveness. Trends such as DevOps adoption, increased regulatory compliance requirements, and the emergence of threat intelligence platforms are promoting market growth. However, challenges related to data privacy, interoperability, and the availability of skilled professionals may restrain market expansion. Key players include Synopsys, Veracode, Palo Alto Networks, and Snyk. Strategies such as partnerships, acquisitions, and new product launches are expected to drive market consolidation and technological advancements. Introduction Open source software composition analysis (OSSCA) is a crucial practice in securing the software supply chain. By identifying and analyzing open source components within software applications, businesses can mitigate the risks associated with open source vulnerabilities. This report delves into the Open Source Software Composition Analysis market, providing insights into its dynamics, trends, and key players.

  12. p

    Open Source Software contributed by the Public Sector in Luxembourg:...

    • data.public.lu
    csv, json
    Updated Nov 13, 2023
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    Open Data Lëtzebuerg (2023). Open Source Software contributed by the Public Sector in Luxembourg: dependencies [Dataset]. https://data.public.lu/en/datasets/open-source-software-contributed-by-the-public-sector-in-luxembourg-dependencies/
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    csv(17125), json(39520)Available download formats
    Dataset updated
    Nov 13, 2023
    Dataset authored and provided by
    Open Data Lëtzebuerg
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Luxembourg
    Description

    This dataset list the dependencies from the repositories contributed by the Public Sector in Luxembourg. The data has been crawled with codegouvfr-fetch-data. If you wish to contribute to this dataset, feel free to contribute the following Github project via issues or pull requests: Open Source Software contributed by the Public sector in Luxembourg, a list of organization accounts

  13. P

    Geography of Open Source Software Dataset

    • paperswithcode.com
    • opendatalab.com
    Updated Jul 6, 2021
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    (2021). Geography of Open Source Software Dataset [Dataset]. https://paperswithcode.com/dataset/geography-of-open-source-software
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    Dataset updated
    Jul 6, 2021
    Description

    This dataset reports counts of active GitHub contributors (activity: 2019/2020) geolocated in early 2021. Counts are aggregated at the country level and at various regional scales. Besides countries, we report data on the EU NUTS2 level, for Brazilian, Russian, Chinese, Japanese, Indian, and US-American subnational geographies. We used a pipeline approach, attempting to infer location first from GitHub profile of a developer, then from linked Twitter accounts, then from email suffixes (country level only). Our data reports the count of developers identified by each stage of the pipeline, in case for instance one prefers to only use the GitHub account information.

  14. Z

    Data from: A Large-scale Dataset of (Open Source) License Text Variants

    • data.niaid.nih.gov
    Updated Mar 31, 2022
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    Stefano Zacchiroli (2022). A Large-scale Dataset of (Open Source) License Text Variants [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_6379163
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    Dataset updated
    Mar 31, 2022
    Dataset authored and provided by
    Stefano Zacchiroli
    License

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

    Description

    We introduce a large-scale dataset of the complete texts of free/open source software (FOSS) license variants. To assemble it we have collected from the Software Heritage archive—the largest publicly available archive of FOSS source code with accompanying development history—all versions of files whose names are commonly used to convey licensing terms to software users and developers. The dataset consists of 6.5 million unique license files that can be used to conduct empirical studies on open source licensing, training of automated license classifiers, natural language processing (NLP) analyses of legal texts, as well as historical and phylogenetic studies on FOSS licensing. Additional metadata about shipped license files are also provided, making the dataset ready to use in various contexts; they include: file length measures, detected MIME type, detected SPDX license (using ScanCode), example origin (e.g., GitHub repository), oldest public commit in which the license appeared. The dataset is released as open data as an archive file containing all deduplicated license blobs, plus several portable CSV files for metadata, referencing blobs via cryptographic checksums.

    For more details see the included README file and companion paper:

    Stefano Zacchiroli. A Large-scale Dataset of (Open Source) License Text Variants. In proceedings of the 2022 Mining Software Repositories Conference (MSR 2022). 23-24 May 2022 Pittsburgh, Pennsylvania, United States. ACM 2022.

    If you use this dataset for research purposes, please acknowledge its use by citing the above paper.

  15. w

    Global Open Source Software Market Research Report: By Application...

    • wiseguyreports.com
    Updated Dec 3, 2024
    + more versions
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Open Source Software Market Research Report: By Application (Operating Systems, Database Management, Web Development, Cloud Computing, Content Management), By Deployment Type (On-Premises, Cloud-Based, Hybrid), By End User (Individual Developers, Small and Medium Enterprises, Large Enterprises), By Service Type (Support Services, Consulting Services, Training Services, Customization Services) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/open-source-software-market
    Explore at:
    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 202336.17(USD Billion)
    MARKET SIZE 202439.66(USD Billion)
    MARKET SIZE 203283.0(USD Billion)
    SEGMENTS COVEREDApplication, Deployment Type, End User, Service Type, Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSIncreasing demand for customization, Growing adoption by enterprises, Rising community collaboration, Cost-effective alternatives to proprietary software, Strong focus on security and transparency
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDDebian, Red Hat, Bitnami, Chef Software, Canonical, MongoDB, GitHub, SUSE, Apache Software Foundation, Mashape, OpenStack, Eclipse Foundation, Jfrog, Elastic NV, HashiCorp
    MARKET FORECAST PERIOD2025 - 2032
    KEY MARKET OPPORTUNITIESIncreased cloud adoption, Growing demand for customization, Rising focus on collaboration tools, Expanding IoT ecosystem integration, Enhanced security through community contributions
    COMPOUND ANNUAL GROWTH RATE (CAGR) 9.67% (2025 - 2032)
  16. m

    Open Source Service Market - Size, Share & Trends | 2025 - 2030

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jun 24, 2025
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    Mordor Intelligence (2025). Open Source Service Market - Size, Share & Trends | 2025 - 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/open-source-service-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    Global
    Description

    The Open Source Service Market Report is Segmented by Service Type (Consulting and Implementation, Support, Maintenance, and Management, and More), Deployment Mode (On-Premise and Cloud), Application (Infrastructure Management, Application Development and Integration, and More), End-User Industry (Banking, Financial Services and Insurance (BFSI), and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

  17. Total annual open-source downloads 2020-2022, by ecosystem

    • statista.com
    Updated Jul 1, 2025
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    Statista (2025). Total annual open-source downloads 2020-2022, by ecosystem [Dataset]. https://www.statista.com/statistics/1268867/worldwide-open-source-downloads-ecosystems-annual/
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    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2022, JavaScript developers downloaded over two trillion open-source packages from the Maven Central Repository globally, which beats out the second largest downloaded volume, Java, by *** trillion downloads.

  18. Open Source Software Security Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 16, 2024
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    Open Source Software Security Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/open-source-software-security-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Open Source Software Security Market Outlook




    The global open source software security market size was valued at approximately USD 3.2 billion in 2023 and is projected to reach USD 12.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 16.3% during the forecast period. This impressive growth is primarily driven by the increasing adoption of open source software across various industries, heightened awareness of security risks, and stringent regulatory requirements for data protection and compliance.




    One of the critical factors propelling the growth of the open source software security market is the widespread adoption of open source software (OSS) by enterprises looking to leverage its cost-efficiency, flexibility, and collaborative innovation. As organizations increasingly integrate OSS into their IT infrastructure, the need for robust security solutions to safeguard against vulnerabilities and cyber threats becomes paramount. Furthermore, the rapid digital transformation across industries has amplified the necessity for secure OSS, compelling enterprises to invest in advanced security measures to protect their digital assets.




    Another significant growth driver is the escalating frequency and sophistication of cyber attacks targeting open source software. Cybercriminals often exploit vulnerabilities in OSS due to the transparency of its codebase, making it imperative for businesses to implement comprehensive security strategies. This has led to a surge in demand for specialized security solutions and services tailored to OSS, further boosting the market's growth. Additionally, the increasing awareness among businesses about the potential risks associated with OSS and the need for proactive security measures is fostering market expansion.




    The rising emphasis on regulatory compliance and data protection is also contributing to the market's growth. Governments and regulatory bodies worldwide are enforcing stringent regulations to ensure the security and privacy of sensitive data. Organizations are compelled to adhere to these regulations, necessitating the adoption of robust security solutions for their OSS. This trend is particularly prominent in industries such as healthcare, finance, and government, where data security is of utmost importance. As a result, the demand for open source software security solutions is witnessing substantial growth across these sectors.




    The regional outlook for the open source software security market is optimistic, with significant growth anticipated across all major regions. North America is expected to dominate the market owing to the high adoption rate of OSS and the presence of key market players. Europe is also projected to witness substantial growth due to stringent regulatory norms and increasing cybersecurity awareness. The Asia Pacific region is likely to emerge as the fastest-growing market, driven by the rapid digital transformation in countries like China and India, coupled with increasing investments in cybersecurity infrastructure.



    Component Analysis




    The open source software security market by component is segmented into software and services. The software segment encompasses various security solutions designed to protect OSS, including vulnerability management tools, encryption software, and security monitoring solutions. The services segment includes professional and managed services aimed at providing comprehensive security support for OSS implementations.




    In the software segment, vulnerability management tools are witnessing significant demand as they enable organizations to identify and remediate vulnerabilities in their OSS. These tools help automate the process of detecting security flaws, thereby reducing the risk of exploitation by cybercriminals. Additionally, encryption software is gaining traction as it ensures the confidentiality and integrity of data used within OSS environments. Security monitoring solutions are also crucial as they provide real-time threat detection and response capabilities, helping organizations mitigate potential security breaches.




    The services segment is expected to grow at a notable pace, driven by the increasing need for specialized expertise in securing OSS. Professional services, such as security consulting and implementation support, are in high demand as organizations seek to enhance their security posture. Managed services are also ga

  19. i

    Open Source Software - Social Network and Requirements Engineering

    • ieee-dataport.org
    Updated Apr 21, 2023
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    Deepa Iyer (2023). Open Source Software - Social Network and Requirements Engineering [Dataset]. https://ieee-dataport.org/documents/open-source-software-social-network-and-requirements-engineering
    Explore at:
    Dataset updated
    Apr 21, 2023
    Authors
    Deepa Iyer
    License

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

    Description

    The dataset contains social network measures

  20. O

    Open-Source Software Security Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 11, 2025
    + more versions
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    Archive Market Research (2025). Open-Source Software Security Report [Dataset]. https://www.archivemarketresearch.com/reports/open-source-software-security-26459
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Feb 11, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Open-Source Software Security Market Overview: The global open-source software security market is anticipated to grow exponentially, reaching a valuation of millions by 2033, expanding at a CAGR of XX% during the forecast period from 2025 to 2033. This growth is primarily driven by the increasing adoption of open-source software across various industries, the growing demand for robust security measures to mitigate cyber threats, and the rising awareness about the importance of open-source software security. Key Trends and Market Dynamics: The open-source software security market is witnessing several key trends, including the integration of artificial intelligence (AI) and machine learning (ML) technologies to enhance security capabilities, the rise of cloud-based security solutions, and the increasing focus on compliance and regulatory requirements. However, the market also faces challenges such as the shortage of skilled security professionals and the reluctance of some organizations to adopt open-source software due to perceived security concerns. The market is highly fragmented, with numerous players offering a range of solutions and services. Regionally, North America is expected to dominate the market due to the strong presence of technology companies and the high adoption of open-source software. The Asia-Pacific region is also expected to experience significant growth in the coming years, driven by the expanding IT and telecom sector and the growing awareness of cybersecurity threats.

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Email
Click to copy link
Link copied
Close
Cite
Statista (2025). Open-source software usage 2023, by region [Dataset]. https://www.statista.com/statistics/1472615/open-source-software-usage-by-region/
Organization logo

Open-source software usage 2023, by region

Explore at:
Dataset updated
Jul 1, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Oct 2023 - Nov 2023
Area covered
Worldwide
Description

In a recent survey, more than ** percent of the respondents stated that their organizations had either increased or maintained their use of open-source software in the past year. Participants from Africa, with ** percent, noted a significant increase in usage.

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