Survey of Artificial Intelligence Model Marketplace
The rapid advancement and widespread adoption of artificial intelligence (AI) across diverse industries, including healthcare, finance, manufacturing, and retail, underscore the transformative potential of AI technologies. This necessitates the development of viable AI model marketplaces that facili...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Future Internet |
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| Online Access: | https://www.mdpi.com/1999-5903/17/1/35 |
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| _version_ | 1832588413971202048 |
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| author | Mian Qian Abubakar Ahmad Musa Milon Biswas Yifan Guo Weixian Liao Wei Yu |
| author_facet | Mian Qian Abubakar Ahmad Musa Milon Biswas Yifan Guo Weixian Liao Wei Yu |
| author_sort | Mian Qian |
| collection | DOAJ |
| description | The rapid advancement and widespread adoption of artificial intelligence (AI) across diverse industries, including healthcare, finance, manufacturing, and retail, underscore the transformative potential of AI technologies. This necessitates the development of viable AI model marketplaces that facilitate the development, trading, and sharing of AI models across the pervasive industrial domains to harness and streamline their daily activities. These marketplaces act as centralized hubs, enabling stakeholders such as developers, data owners, brokers, and buyers to collaborate and exchange resources seamlessly. However, existing AI marketplaces often fail to address the demands of modern and next-generation application domains. Limitations in pricing models, standardization, and transparency hinder their efficiency, leading to a lack of scalability and user adoption. This paper aims to target researchers, industry professionals, and policymakers involved in AI development and deployment, providing actionable insights for designing robust, secure, and transparent AI marketplaces. By examining the evolving landscape of AI marketplaces, this paper identifies critical gaps in current practices, such as inadequate pricing schemes, insufficient standardization, and fragmented policy enforcement mechanisms. It further explores the AI model life-cycle, highlighting pricing, trading, tracking, security, and compliance challenges. This detailed analysis is intended for an audience with a foundational understanding of AI systems, marketplaces, and their operational ecosystems. The findings aim to inform stakeholders about the pressing need for innovation and customization in AI marketplaces while emphasizing the importance of balancing efficiency, security, and trust. This paper serves as a blueprint for the development of next-generation AI marketplaces that meet the demands of both current and future application domains, ensuring sustainable growth and widespread adoption. |
| format | Article |
| id | doaj-art-5ecb82f98edf46b9b32674fb13eecced |
| institution | Kabale University |
| issn | 1999-5903 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj-art-5ecb82f98edf46b9b32674fb13eecced2025-01-24T13:33:38ZengMDPI AGFuture Internet1999-59032025-01-011713510.3390/fi17010035Survey of Artificial Intelligence Model MarketplaceMian Qian0Abubakar Ahmad Musa1Milon Biswas2Yifan Guo3Weixian Liao4Wei Yu5Department of Computer and Information Sciences, Towson University, Towson, MD 21252, USADepartment of Computer and Information Sciences, Towson University, Towson, MD 21252, USADepartment of Computer and Information Sciences, Towson University, Towson, MD 21252, USADepartment of Computer and Information Sciences, Towson University, Towson, MD 21252, USADepartment of Computer and Information Sciences, Towson University, Towson, MD 21252, USADepartment of Computer and Information Sciences, Towson University, Towson, MD 21252, USAThe rapid advancement and widespread adoption of artificial intelligence (AI) across diverse industries, including healthcare, finance, manufacturing, and retail, underscore the transformative potential of AI technologies. This necessitates the development of viable AI model marketplaces that facilitate the development, trading, and sharing of AI models across the pervasive industrial domains to harness and streamline their daily activities. These marketplaces act as centralized hubs, enabling stakeholders such as developers, data owners, brokers, and buyers to collaborate and exchange resources seamlessly. However, existing AI marketplaces often fail to address the demands of modern and next-generation application domains. Limitations in pricing models, standardization, and transparency hinder their efficiency, leading to a lack of scalability and user adoption. This paper aims to target researchers, industry professionals, and policymakers involved in AI development and deployment, providing actionable insights for designing robust, secure, and transparent AI marketplaces. By examining the evolving landscape of AI marketplaces, this paper identifies critical gaps in current practices, such as inadequate pricing schemes, insufficient standardization, and fragmented policy enforcement mechanisms. It further explores the AI model life-cycle, highlighting pricing, trading, tracking, security, and compliance challenges. This detailed analysis is intended for an audience with a foundational understanding of AI systems, marketplaces, and their operational ecosystems. The findings aim to inform stakeholders about the pressing need for innovation and customization in AI marketplaces while emphasizing the importance of balancing efficiency, security, and trust. This paper serves as a blueprint for the development of next-generation AI marketplaces that meet the demands of both current and future application domains, ensuring sustainable growth and widespread adoption.https://www.mdpi.com/1999-5903/17/1/35artificial intelligence (AI)machine learning (ML)model marketplace designdigital marketplacemarketplace serviceAI marketplace |
| spellingShingle | Mian Qian Abubakar Ahmad Musa Milon Biswas Yifan Guo Weixian Liao Wei Yu Survey of Artificial Intelligence Model Marketplace Future Internet artificial intelligence (AI) machine learning (ML) model marketplace design digital marketplace marketplace service AI marketplace |
| title | Survey of Artificial Intelligence Model Marketplace |
| title_full | Survey of Artificial Intelligence Model Marketplace |
| title_fullStr | Survey of Artificial Intelligence Model Marketplace |
| title_full_unstemmed | Survey of Artificial Intelligence Model Marketplace |
| title_short | Survey of Artificial Intelligence Model Marketplace |
| title_sort | survey of artificial intelligence model marketplace |
| topic | artificial intelligence (AI) machine learning (ML) model marketplace design digital marketplace marketplace service AI marketplace |
| url | https://www.mdpi.com/1999-5903/17/1/35 |
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