行业聚焦：全球非接触式AFM探针行业头部生产商市场份额及排名调查

Core Insights - The global market for non-contact AFM probes is projected to reach $0.67 billion by 2031, with a compound annual growth rate (CAGR) of 3.59% in the coming years [3]. Market Overview - Major manufacturers of non-contact AFM probes include NanoWorld Holding, Bruker, and Team Nanotec, which collectively hold approximately 79.85% of the market share [6]. - Silicon non-contact AFM probes are the dominant product type, accounting for about 71.56% of the market [8]. - The primary demand source for non-contact AFM probes is the life sciences and bioimaging sector, which represents around 30.12% of the market [10]. Market Drivers - Government policies and increased R&D investments are driving demand, as high-end scientific instruments like AFM are prioritized for funding [13]. - Expansion in downstream applications, particularly in the semiconductor and biopharmaceutical industries, is shortening probe replacement cycles and increasing demand [14]. - Technological innovations and industry upgrades, including the integration of micro-nano processing with AI and big data, are enhancing probe performance [15]. Market Challenges - Core technology and patent barriers exist, with foreign companies holding most foundational structure patents, leading to performance gaps in domestic products [16]. - Upstream supply and cost pressures are influenced by price fluctuations of key raw materials, affecting production costs [17]. - System performance instability due to environmental interference and limitations in probe dynamics and control systems can impact stability and precision [18]. Industry Opportunities - High-end application expansion in semiconductor processes and biomedicine is increasing the demand for specialized high-performance probes [19]. - Policy-driven domestic substitution initiatives are supporting local manufacturers in achieving import replacement in government procurement and research sectors [20]. - Breakthroughs in technology, including new materials and smart data analysis, are helping to overcome existing bottlenecks [21].