December_ 2024 GAI Outlook|Global Generative AI Trends in 2024 (Next)
AINewly Created Unicorns
As generative AI has become the most promising and commercially viable AI technology, many large corporations have been sharpening their knives for a long time, and in addition to the giants' active development, there are also a large number of start-ups that are also actively working on this. 2023 is facing a sluggish demand for endpoints, which has led to a general decline in revenue and frequent rumors of layoffs by the global tech industry, but the only exception is in the field of generative AI, which has completed 86 financing projects worldwide in the first half of 2023, with total funding of $14.1 billion, up 5 times from the full year of 2022, according to data released by market research firm According to the data released by CB Insights, in the first half of 2023, 86 financing projects have been completed in this field worldwide, with a total amount of $14.1 billion, a more than five-fold increase compared to the whole year of 2022, and the top five start-ups in terms of fundraising amount are, in order of priority, the $10 billion OpenAI, the $1.3 billion Inflection, the $850 million Anthropic, the $850 million Adept, the $850 million Adept, the $850 million Adept, and the $850 million Adept, 850M for Adept and $270M for Cohere. Because of the large capital investment required to develop large-scale language models, the generative AI infrastructure category has raised more than $70% since Q3 2022, but the number of cases accounts for only 9.5% of the total, mainly for the development of base models and APIs, machine learning operations (MLOps), and vector database technologies. ) and vector database technologies. In the cross-industry generative AI application category of vendors with the second largest amount of financing, the development of AI assistants and interfaces, this paper, and vision are the main financing targets, with amounts of $2.69 billion, $640 million, and $390 million, respectively, as shown in Figure 1.