技术转移转化是连接科技创新与产业应用的核心纽带，其发展模式正随经济社会高质量发展发生深刻变革。本文旨在梳理该行业的完整演进脉络，揭示其发展逻辑，明确未来核心发展方向与实施路径，为行业支撑科技创新和经济高质量发展提供理论参考与实践指引。采用系统梳理与维度拆解相结合的研究方法，首先回溯行业从1.0模式到当前 4.0 模式的演进历程， 揭示政府主导—市场驱动—智能协同逻辑，并围绕工具、能力、资源三维度，结合创新方法与人工智能、大数据等数字技术分析实施路径。明确四阶段的特征与规律，得出未来将以精准匹配与智能决策为核心，实现智能化、全链条、生态化协同的关键结论。并阐明构建数据驱动、多方协同的生态体系是行业发展的必然选择。

Technology transfer and transformation, the core link bridging sci-tech innovation and industrial application, is undergoing profound changes amid high-quality development. This paper traces its evolutionary trajectory, reveals its development logic, and identifies future core directions and implementation pathways, offering theoretical and practical guidance for the industry to support sci-tech innovation and high-quality economic development. Using systematic review and dimensional decomposition, it retraces the evolution from the 1.0 to the 4.0 model, uncovering a logic from government-led to market-driven and intelligent collaboration. It analyzes pathways focusing on tools, capabilities, and resources, integrating innovation methods and digital technologies like AI and big data. By clarifying the characteristics and patterns of the four stages, the paper concludes that the future will center on precise matching and intelligent decision-making, thereby realizing intelligent, full-chain, and ecosystem-based collaboration. It elucidates that building a data-driven, multi-stakeholder collaborative ecosystem is an inevitable choice for the industry’s development.