Sou Hu Cai Jing·2025-11-22 05:11Core Insights - The report highlights the rapid growth and strategic importance of deep learning and large language models (LLMs) in the global AI landscape, with a focus on patent trends and competitive dynamics [12][13]. Group 1: Patent Landscape - Since the inception of deep learning technology in 2011, over 310,000 patent families have been generated, with a compound annual growth rate of 16% from 2019 to 2023, indicating its long-term value as an innovation infrastructure [2]. - China dominates the patent landscape, contributing 80% of global deep learning patent applications in 2023, while the U.S. holds a significant international patent family (IPF) share of 35% [2]. - Major players in deep learning patents include Baidu, Google, and Microsoft, with Baidu leading globally with 6,751 patent families [3]. Group 2: Large Language Models - The number of patents related to large language models has surged since 2020, accumulating around 6,000 patent families, particularly after the launch of ChatGPT in 2022 [4]. - The innovation in the LLM space is primarily driven by industry players, with academic institutions accounting for only 21% of the contributions, indicating a strong commercialization focus [4]. - Key companies such as Google, Baidu, Tencent, Microsoft, and Alibaba dominate the patent landscape in LLMs, creating a highly concentrated competitive environment [4]. Group 3: Application Areas - The report identifies ten major application areas for large language models, with content generation, chatbots, healthcare, legal applications, and sentiment analysis being the most prominent [5]. - In healthcare, LLMs show significant potential in disease diagnosis, drug development, and personalized medicine, making it a high-growth area for technology giants [5]. - Companies like Google, Baidu, Microsoft, Tencent, and Alibaba lead in patent applications across most application categories, showcasing a comprehensive technology ecosystem strategy [5]. Group 4: Future Outlook - The report anticipates that deep learning and LLMs will continue to evolve rapidly, with increasing industry penetration driven by enhanced computational efficiency and data quality [6]. - Patent strategies are becoming a core competitive advantage for companies, as they seek to establish technological barriers and seize market opportunities [6]. - The ongoing competition for intellectual property reflects the strategic importance of AI technology, with the U.S. and China pursuing differentiated strategies in research, application, and international expansion [6].