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

AIport has put together Volume 1 of the Global Generative AI Landscape 2024. This is the first generative AI landscape analysis to emphasize regional attributes and encompass four times more nations than other similar editions.

Our goal at AIport 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.

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 62 countries that invest in the AI market, as featured in the Global AI Index 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 Sequoia Capital, Antler, Base10, and others, before being segmented into ten GenAI categories.

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 128 generative models from 107 companies.

Key Highlights

• Of the 62 countries listed in the Global AI Index, only 35 develop their GenAI solutions in-house. Roughly 90% of them focus on one model type.

• 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.