2024年中国人工智能产业研究报告

Core Viewpoint - The artificial intelligence (AI) industry is recognized as a key development direction by the government, with significant policies aimed at promoting innovation and enhancing regional economic competitiveness. The rise of open-source models like DeepSeek is accelerating the domestic AI ecosystem's openness and competitiveness, marking a significant event in China's AI industry development [1][4][25]. Summary by Sections Research Background - The AI industry is positioned as a core engine for the new technological revolution and industrial transformation, with the government emphasizing its strategic importance [1]. Macro Environment - In 2024, the national focus on AI development is evident, with local governments promoting research innovation and infrastructure. Despite a slowdown in GDP growth, AI technology shows vast potential for efficiency improvement and industrial upgrading, supported by government initiatives [4]. Industry Dynamics - The AI market size in China is projected to reach 269.7 billion yuan in 2024, with a growth rate of 26.2%, slightly below expectations due to high costs and unmet client needs in real business scenarios [6]. - The demand for computing power is shifting structurally, with increased utilization expected as open-source models drive application growth [6]. - The ecosystem of AI tools is improving, with advancements in distributed AI frameworks and LLMOps platforms facilitating model training and deployment [6]. - Commercialization is primarily project-based for enterprises, while consumer products often adopt a "free + subscription" model [6]. - Many companies are actively pursuing overseas markets to mitigate domestic competition [6]. Development Trends - AI Agents are evolving product applications from simple Q&A to complex task completion, with embodied intelligence becoming a strategic focus for future AI competition [8]. - The open-source movement led by DeepSeek is promoting equitable access to AI technology, enhancing its application in both industrial and consumer sectors [8]. Policy Environment - The government has integrated AI into national development strategies, with various cities launching initiatives to foster local AI industries [9]. Capital Environment - Investment in the AI sector is increasing, particularly in language and multimodal applications, with a notable rise in equity investment [12]. Technology Environment - The Transformer architecture is the foundation for current large model developments, with ongoing exploration in efficiency optimization and new attention mechanisms [16][18]. Market Size - The AI industry in China is expected to exceed 1 trillion yuan by 2029, with a compound annual growth rate of 32.1% from 2025 to 2029 [24][25]. Application Layer Insights - The application layer is seeing a competitive landscape where pricing and user engagement strategies are critical, with many companies adopting aggressive pricing tactics [34]. - B-end applications are primarily driven by state-owned enterprises, focusing on sectors like government, education, and energy [37]. C-end Product Ecosystem - C-end AI products are rapidly developing, but many still face challenges in user retention and monetization [39]. AI Agent Development - AI Agents are bridging the gap between model capabilities and application needs, with a growing ecosystem of diverse vendors driving innovation [45][76]. AI Hardware - AI capabilities are increasingly integrated into consumer hardware, with significant advancements in mobile devices and educational tools [47]. Voice Modality - Voice recognition and generation capabilities are improving, with a focus on end-to-end model architectures enhancing user interaction [50]. Visual Modality - The Transformer architecture continues to dominate visual model development, with ongoing advancements in generative models [56]. Language Modality - Language models are primarily driven by large enterprises, with a focus on enhancing user experience and functionality [66]. AI Product Commercialization - Current AI product monetization strategies are primarily project-based and subscription-based, with potential for new models emerging [69]. International Expansion - Many companies are looking to expand into international markets, with a focus on AI image/video and social applications [71][73].