Global Cloud Service Market Forecast: 20% Growth in 2024, Leading Cloud Providers Increase AI Investments


The global AI application market experienced explosive growth in 2024, with total revenue expected to reach $3.3 billion, a year-on-year increase of 51%. North America contributed the most, accounting for 47% of global revenue. India became the largest market in terms of downloads, capturing 21%. ChatGPT emerged as the market leader, with over 160 million downloads from January to August and revenue nearing $230 million, alongside more than 190 million monthly active users. AI+Chatbot applications surpassed 630 million downloads, with revenue approaching $580 million, reflecting a 1.5% growth compared to 2023.
The generative AI market is expected to reach $136 billion by 2031, with a compound annual growth rate (CAGR) of 33.2%. North America is the largest market, followed by Europe and the Asia-Pacific region, with rapid growth in the healthcare, media, and entertainment sectors. Generative AI has wide-ranging applications across multiple fields, including art design and healthcare, indicating a positive market outlook. The global market growth is driven by innovations in cloud storage and government initiatives, and generative AI is set to continue its expansion in the future.
In 2023, the global genomics artificial intelligence market size reached $11.5 billion and is expected to reach $19.72 billion by 2030, with a compound annual growth rate of 50.1%. The surge in genomic data is driving the application of AI in genomics, accelerating drug discovery and diagnostics, while reducing costs. Increased awareness among medical professionals and the public about the potential benefits of AI in genomics is propelling market demand. During the forecast period, on-premise delivery models are expected to dominate the global genomics artificial intelligence market.
ByteDance's Seed foundation model unit reorganized: Seed Foundation Model created four first-level departments reporting to Wu Yonghui. It consolidates pretraining data, RL and post-training resources, separating B-end and C-end product model capabilities. Pretrain Data led by Li Chenggang integrates text, coding, vision, speech data teams to support new Omni model.....
The DeepSeek toolchain is upgraded to version 0.1.1-rc.1, adding the visual model experience version V4Flash Vision-Exp on top of V4Flash and V4Pro. Previously, version 0.1.0-rc.8 had already enabled multimodal capabilities, supporting native image requests and mixed text-image input with commands such as /goal and /plan.