现场表演刷新认知，基金经理看好哪些细分投资机会？

Core Insights - The 2025 World Humanoid Robot Games will take place from August 14 to 17 in Beijing, showcasing significant advancements in humanoid robotics with 487 competitive events [1][2] - The humanoid robotics sector has seen remarkable growth since 2025, with related indices reaching new highs and several concept stocks doubling in value [1][4] - Experts believe 2025 could mark the year of mass production for humanoid robots, signaling the start of a new industrial era [1][7] Industry Performance - The humanoid robot sector in the A-share market has performed exceptionally well in 2025, with the China Securities Robot Index and the National Securities Robot Industry Index rising by 23.32% and 27.48% respectively [4] - The humanoid robot index has surged by 46.54% year-to-date, reaching a record high of 12,096.7 points on August 15 [4] - Eleven concept stocks have doubled in value this year, with Shenghong Technology leading at a 450.34% increase [4] Investment Opportunities - The humanoid robot industry is transitioning from concept validation to large-scale application, presenting various investment opportunities across different segments [3][5] - Key areas of focus for institutional investors include upstream core components, system integration capabilities, and intelligent software layers [5][6] - The industry is at a critical juncture where manufacturing cost control and user experience improvements are essential for commercialization [6] Challenges and Development - Despite advancements, the humanoid robot sector faces challenges such as high costs, limited intelligence, and performance enhancement needs [8] - The gap between technological maturity and commercialization expectations remains a significant hurdle [8] - The industry is expected to evolve, with potential applications expanding into various sectors, including domestic services and logistics [9][10] Future Outlook - The humanoid robot market is anticipated to grow significantly, with potential applications in both consumer and business sectors [9][10] - The industry is expected to see increased integration into everyday life, although complexities in control and algorithm development remain [10]