According to a research report from the IoT analyst firm Berg Insight, the Generative AI (GenAI) market grew substantially in 2024, experiencing triple-digit-growth rates in all three major segments spanning GenAI hardware, foundation models and development platforms.\n\nThe market value for foundation models reached an estimated $4.1 billion (€3.5bn), excluding end-user applications such as ChatGPT. The figure primarily includes income through API services or licence fees as the models are used on development platforms. Meanwhile, the market value for GenAI development platforms reached an estimated $17 billion. Furthermore, GPU-based hardware systems used for GenAI workloads generated revenues of $132.3 billion in 2024.\n\n“The GenAI hype is not without merit, since its ability to creatively generate convincingly human-like content makes it a disruptive technology with the potential to influence nearly every industry,” commented Melvin Sörum, IoT Analyst at Berg Insight. “Even though traditional AI systems have been used commercially for many years, GenAI is a more novel practice that enables computer systems to produce original content – including text, images, video, audio and software code – rather than merely analysing existing data or making predictions.”\n\nBefore 2023, the use of GenAI technology was practically non-existent. The nascent market was ignited by the launch of OpenAI’s ChatGPT, which was the first widely adopted commercial product to bring GenAI to mainstream attention. Significant investments can since be observed from a diverse range of enterprises, spanning both startups and established technology giants, all trying to capitalise on the substantial market potential. However, due to the vast computational resources required to train and run AI models, the market is primarily dominated by large technology conglomerates and companies that have managed to raise significant funding.\n\nBerg Insight has identified 31 key foundation model providers spanning large language models (LLMs), vision, audio and multimodal models. While many LLMs started as unimodal, nearly all successful LLMs now include multimodal capabilities. Companies with cross-modal offerings include US-based Anthropic, Google, Meta, OpenAI and xAI; China-based Alibaba, Baidu, ByteDance and Tencent; France-based Mistral AI and Canada-based Cohere. Specialised vision model developers include US-based Midjourney and Runway, and UK-based Stability AI. Key audio specialists include US-based Assembly AI and ElevenLabs.\n\nThe ecosystem is supported by over 24 key companies offering tools for building GenAI applications. In the US, providers include cloud giants like Microsoft, Google and AWS, and diversified tech companies such as IBM and Oracle. The landscape also features hardware providers like Nvidia, data platform specialists such as Databricks and Snowflake, model training platforms like Scale AI, and the open-source library from Hugging Face. European and Asian players also contribute, including Dutch Nebius and Chinese Alibaba, Baidu, ByteDance and Tencent.

Report: GenAI market surpassed $130bn in 2024

The Generative AI (GenAI) market reached a value of over $130 billion in 2024, driven by strong growth in three key segments: foundation models, development platforms, and hardware. The foundation models market was valued at $4.1 billion (excluding end-user applications), primarily from API and licensing revenues. GenAI development platforms generated $17 billion in revenue, while GPU-based hardware systems contributed $132.3 billion in revenues. The market's growth is attributed to the disruptive capability of GenAI in creating original content across text, images, video, audio, and software code. The market emerged after the launch of OpenAI’s ChatGPT in 2023, leading to significant investments from both startups and large technology firms. Key players include Anthropic, Google, Meta, OpenAI, xAI, Alibaba, Baidu, ByteDance, Tencent, Mistral AI, Cohere, Midjourney, Runway, Stability AI, Assembly AI, and ElevenLabs. The ecosystem includes major cloud providers, hardware vendors, and development tools, with significant participation from US, European, and Asian companies.