is an online community that covers the latest international AI/ML developments. We are fascinated by technological progress and strive to bring a worldwide perspective to AI discussions. Check out our first big project! AIport AIport has put together Volume 1 of the . This is the first generative AI landscape analysis to emphasize regional attributes and encompass nations than other similar editions. Global Generative AI Landscape 2024 four times more Our goal at is to offer a balanced overview of the GenAI sector, showcasing contributions from across the globe, beyond the usual focus on North American and European entities. AIport How We Came Up With the Idea We noticed that many generative AI landscapes tend to focus either on the Silicon Valley giants or the tech powerhouses of Europe, covering no more than 10 countries on average. While this approach does serve its purpose, it can’t really offer a complete picture. To address this, we decided to dig deeper, and this is what we came up with after weeks of research. We believe Volume 1 of our Global Generative AI Landscape 2024 provides an objectively international outlook. About the Research We examined all countries that invest in the AI market, as featured in the by Tortoise. In-house model developers were identified, filtered by the team of editors and data scientists, and subsequently cross-referenced with current GenAI landscapes from , , , and others, before being segmented into ten GenAI categories. 62 Global AI Index Sequoia Capital Antler Base10 As the final step, the data was divided into continental regions: North America, South America, Europe, Asia, Oceania, and Africa. The landscape details which players are developing GenAI solutions, their locations, and the specific nature of their contributions. It contains a total of generative models from companies. 128 107 Key Highlights Of the 62 countries listed in the , only 35 develop their GenAI solutions in-house. Roughly 90% of them focus on one model type. Global AI Index Among the top five nations in the Index, South Korea and Singapore are notably absent from our list of top GenAI developers, suggesting these nations prioritize investment in other AI domains. Conversely, Israel, ranked seventh by Tortoise, has secured a spot on our GenAI development shortlist. Regional leaders by the number of active GenAI companies are North America – USA; South America – Argentina; Europe – UK and France; Asia – China and Israel; Oceania – Australia and New Zealand; Africa – South Africa. The average number of GenAI models per company is the highest in North America, being the only region to have at least one model from each of the 10 model categories. Approximately 10% of all companies covered in the study have implemented multimodality in their GenAI models, with a majority of these developers located in the US. This indicates that while multimodality represents an emerging trend, its adoption outside North America still remains in the nascent stages. A total of 11 companies worldwide have developed more than one type of GenAI model. Stability AI leads with five distinct GenAI model types (image, video, audio, 3D, and code), followed closely by OpenAI (chatbot, audio, video, and multimodal) and Google (text, image, audio, and multimodal) – both with four model types. Microsoft, Meta, Tencent, Baidu, and Yandex are among those companies that developed between two to three types of distinct GenAI models. 13 companies have developed multiple models within a single GenAI category. AssemblyAI has two speech-to-text models, MosaicML offers two iterations of its MPT for code generation, while IPOXCap has introduced two chatbots designed for business intelligence applications. to get more insights from the global AI/ML landscape! Subscribe to AIport

Global GenAI Landscape 2024: Roughly Half of Nations That Invest in AI Develop Generative Models

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