2025年具身智能行业研究：跨领域融合引领的新一轮智能革命

Investment Rating - The report does not explicitly provide an investment rating for the embodied intelligence industry Core Insights - The embodied intelligence industry is recognized as a key area for future industrial development in China, with the government including it in the future industrial cultivation plan [2] - The commercialization of embodied intelligence is progressing slower than expected, facing challenges in efficiency, cost, and scene adaptability [4][30] - The industry is expected to follow a principle of "from simple to complex" and "specialized before general" in its application over the next five years, with a focus on industrial applications before expanding to household scenarios [4][30] Summary by Sections 1. Application Status of Embodied Intelligence - By 2025, the global embodied intelligence is transitioning from laboratory settings to practical applications, but commercialization is lagging behind expectations [4][30] - The core focus until 2030 will be on industrial-specific scenarios, with gradual expansion to household applications ensuring safety [4][30] 2. Major Challenges Faced by Embodied Intelligence - Technical Challenges: Lack of autonomous intention generation, insufficient real data, low quality of synthetic data, and fragmented software ecosystems hinder development [8][34] - Application Challenges: Ambiguous market demand, low user acceptance, and an incomplete industrial chain restrict the commercialization process [34][40] 3. Overview of the Embodied Intelligence Industry - Embodied intelligence combines artificial intelligence and robotics, emphasizing dynamic interaction with the environment through physical entities [13][17] - It is distinguished from disembodied intelligence by its reliance on physical bodies for real-time interaction, which enhances adaptability and cross-domain generalization [19] 4. Development History - The evolution of embodied intelligence has progressed through various stages, from philosophical foundations to the integration of large models and practical applications [20] 5. Technical System - The technical framework of embodied intelligence is transitioning from modular AI algorithms to a unified model-based approach, focusing on a closed-loop system architecture [21][23] 6. Core Technical Aspects - The commercialization of embodied intelligence relies on three core technical areas: algorithm evolution, data sourcing, and hardware advancement [24][25] 7. Current Application Status - The report highlights specific applications in industrial manufacturing, service and retail, and medical fields, noting the challenges faced in each sector [30][32] 8. National Policies - Recent national policies emphasize the importance of embodied intelligence, particularly humanoid robots, as a focus for future industrial development [44]