中日两国机器人,谁能干过谁?
创业邦·2025-12-16 10:09

Core Viewpoint - The article discusses the contrasting approaches of China and Japan in the robotics industry, highlighting China's rapid advancements and Japan's historical challenges in humanoid robotics, while emphasizing Japan's strength in industrial robotics [5][7][17]. Group 1: Industry Overview - Robotics has become a significant focus for high-tech startups in China since 2020, alongside AI, with substantial investments and policy support [5]. - Japan, despite being an early innovator in humanoid robotics, has struggled to commercialize its developments, with notable failures like ASIMO and Pepper, which faced high costs and low market demand [9][10]. - The global market for industrial robots is projected to account for approximately 71.4% of total revenue in 2024, indicating a strong demand for industrial applications [21]. Group 2: Comparative Analysis - Japan's robotics industry has historically focused on stability and reliability, with a strong emphasis on long-term partnerships and high-quality components, while China's approach is characterized by rapid innovation and cost competitiveness [29][32]. - The article notes that Japan has lost its exploratory drive in humanoid robotics, while China is making significant strides in this area, leveraging advancements in AI and manufacturing capabilities [10][17]. - The differences in robotics strategies between China and Japan are attributed to varying economic structures, technological foundations, and risk preferences [19][32]. Group 3: Market Dynamics - The article highlights that the demand for humanoid robots is not yet strong globally, with most buyers being experimental or marketing-oriented, which complicates the commercial viability of humanoid robotics [16][19]. - Japan's industrial robotics sector remains robust, with major companies like FANUC and Yaskawa maintaining significant market shares and focusing on B2B business models [22][24]. - The article emphasizes that Japan's industrial robots are integrated with advanced AI technologies, enhancing their operational capabilities while maintaining a focus on reliability and precision [27][30].