2020年中国医疗影像产业链研究报告-亿欧智库-202004.pdf

摘要 : nsists of six links: raw material production, component production, core component manufacturing, host manufacturing, system integration, and hospitals. Raw materials and components belong to upstream, while core components and hosts belong to the middle stream, and system integration and hospitals belong to downstream. ◆ Hospitals in the downstream distribution constitute the basic face of China's medical imaging market. High-level hospitals have large demand, low base, and high equipment level, while grassroots hospitals have small demand, high base, and great potential. Population aging, low penetration, and hierarchical diagnosis and treatment policies have long-term benefits for China's medical imaging market. With the development of artificial intelligence technology, some AI start-ups mainly focus on the downstream image-assisted diagnosis and treatment. ◆ The medium-level imaging equipment is the main body of the industry chain, and various mainstream subdivision equipment markets have emerged based on the six imaging principles, including CT, DR, DSA, PET, MRI, and ultrasound. Currently, DR, ultrasound, and CT have good domestic development, and MRI has gradually made breakthroughs, but the core components of most equipment still rely on the overseas market. From a technological perspective, medical imaging hosts generally develop in the five directions of clearer, faster, safer, more portable, and more intelligent. From a policy perspective, the special approval channel encourages local companies' innovation, and domestic substitution is on the right track. ◆ There are many types of upstream raw materials for medical imaging, with electronic components, sensing components and materials, and structural components being the core components. Medical imaging host's five trends push upstream signal chain and sensing components upgrades. Signal chain upgrades play a significant role in the industry chain's development trends and mainly develop in four directions: reducing power consumption, improving speed, improving imaging quality, and improving integration.