China's elderly care robot market projected to surpass 10 billion yuan by 2026

China's elderly care robot industry is experiencing rapid expansion and is projected to exceed 10 billion yuan, approximately $1.47 billion USD, by 2026. This growth is primarily driven by an accelerating aging population and a significant shortage of nursing staff, creating a mismatch between the supply and demand for care services. The transition from technological verification to large-scale application marks a critical shift for the sector as it seeks innovative solutions for long-term care challenges.

According to a report from China's Ministry of Industry and Information Technology (MIIT), the nation's elderly care robot sector is growing at an average annual rate of 32 percent, with companion robots seeing even faster growth at 42 percent. Liu Wenqiang, vice president of the China Center for Information Industry Development, noted that as the population ages, the demand for intelligent technologies has become increasingly urgent. By 2025, China’s population aged 60 and above reached 323.38 million, including over 130 million 'empty-nesters' living alone, highlighting a massive potential user base for automated care solutions.

The industry has evolved into a comprehensive ecosystem covering research and development of core components, machine manufacturing, and system integration. Technological breakthroughs in multimodal perception, AI algorithms, and high-precision motion control have allowed domestically produced robots to reach internationally advanced levels. These machines now perform complex tasks beyond basic cleaning or meal delivery, including fall detection, remote monitoring, rehabilitation training, and physical assistance with moving or transferring seniors.

Market distribution shows that professional nursing institutions currently represent the largest demand segment at 50 percent, followed by community-based care at 30 percent. While home-based care currently accounts for the smallest share at 20 percent, it is identified as the area with the most significant growth potential. To sustain this momentum, experts emphasize the need for continued integration of large AI models and new materials, while establishing clearer standards and safety protocols to address the specific pain points of the elderly population.